notebook.community

Edit and run

2Day subsampling on the OceanColor Dataset





In [9]:



    


import xarray as xr
import numpy as np
import pandas as pd
%matplotlib inline
from matplotlib import pyplot as plt
from dask.diagnostics import ProgressBar
import seaborn as sns
from matplotlib.colors import LogNorm

Load data from disk

We already downloaded a subsetted MODIS-Aqua chlorophyll-a dataset for the Arabian Sea.

We can read all the netcdf files into one xarray Dataset using the open_mfsdataset function. Note that this does not load the data into memory yet. That only happens when we try to access the values.





In [10]:



    


ds_8day = xr.open_mfdataset('./data_collector_modisa_chla9km/ModisA_Arabian_Sea_chlor_a_9km_*_8D.nc')
ds_daily = xr.open_mfdataset('./data_collector_modisa_chla9km/ModisA_Arabian_Sea_chlor_a_9km_*_D.nc')
both_datasets = [ds_8day, ds_daily]

How much data is contained here? Let's get the answer in MB.





In [11]:



    


print([(ds.nbytes / 1e6) for ds in both_datasets])



    


















    






[534.295504, 4241.4716]

The 8-day dataset is ~534 MB while the daily dataset is 4.2 GB. These both easily fit in RAM. So let's load them all into memory





In [12]:



    


[ds.load() for ds in both_datasets]



    


















    
Out[12]:








[<xarray.Dataset>
 Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3, time: 667)
 Coordinates:
   * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
   * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
   * rgb            (rgb) int64 0 1 2
   * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
   * time           (time) datetime64[ns] 2002-07-04 2002-07-12 2002-07-20 ...
 Data variables:
     chlor_a        (time, lat, lon) float64 nan nan nan nan nan nan nan nan ...
     palette        (time, rgb, eightbitcolor) float64 -109.0 0.0 108.0 ...,
 <xarray.Dataset>
 Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3, time: 5295)
 Coordinates:
   * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
   * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
   * rgb            (rgb) int64 0 1 2
   * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
   * time           (time) datetime64[ns] 2002-07-04 2002-07-05 2002-07-06 ...
 Data variables:
     chlor_a        (time, lat, lon) float64 nan nan nan nan nan nan nan nan ...
     palette        (time, rgb, eightbitcolor) float64 -109.0 0.0 108.0 ...]

Fix bad data

In preparing this demo, I noticed that small number of maps had bad data--specifically, they contained large negative values of chlorophyll concentration. Looking closer, I realized that the land/cloud mask had been inverted. So I wrote a function to invert it back and correct the data.





In [13]:



    


def fix_bad_data(ds):
    # for some reason, the cloud / land mask is backwards on some data
    # this is obvious because there are chlorophyl values less than zero
    bad_data = ds.chlor_a.groupby('time').min() < 0
    # loop through and fix
    for n in np.nonzero(bad_data.values)[0]:
        data = ds.chlor_a[n].values 
        ds.chlor_a.values[n] = np.ma.masked_less(data, 0).filled(np.nan)



    











In [14]:



    


[fix_bad_data(ds) for ds in both_datasets]



    


















    






/Users/vyan2000/local/miniconda3/envs/condapython3/lib/python3.5/site-packages/xarray/core/variable.py:1046: RuntimeWarning: invalid value encountered in less
  if not reflexive










    
Out[14]:








[None, None]

















In [15]:



    


ds_8day.chlor_a>0



    


















    






/Users/vyan2000/local/miniconda3/envs/condapython3/lib/python3.5/site-packages/xarray/core/variable.py:1046: RuntimeWarning: invalid value encountered in greater
  if not reflexive










    
Out[15]:








<xarray.DataArray 'chlor_a' (time: 667, lat: 276, lon: 360)>
array([[[False, False, False, ..., False, False, False],
        [False, False, False, ..., False, False, False],
        [False, False, False, ..., False, False, False],
        ..., 
        [False, False, False, ..., False, False, False],
        [False, False, False, ..., False, False, False],
        [False, False, False, ..., False, False, False]],

       [[False, False, False, ..., False, False, False],
        [False, False, False, ..., False, False, False],
        [False, False, False, ..., False, False, False],
        ..., 
        [False, False, False, ..., False, False, False],
        [False, False, False, ...,  True, False, False],
        [False, False, False, ..., False, False, False]],

       [[False, False, False, ..., False, False, False],
        [False, False, False, ..., False, False, False],
        [False, False, False, ..., False, False, False],
        ..., 
        [False, False, False, ..., False, False,  True],
        [False, False, False, ..., False, False, False],
        [False, False, False, ..., False,  True,  True]],

       ..., 
       [[False, False, False, ..., False, False, False],
        [False, False, False, ..., False, False, False],
        [False, False, False, ..., False, False, False],
        ..., 
        [False, False, False, ..., False, False, False],
        [False, False, False, ..., False, False, False],
        [False, False, False, ..., False, False, False]],

       [[False, False, False, ..., False, False, False],
        [False, False, False, ..., False, False, False],
        [False, False, False, ..., False, False, False],
        ..., 
        [False, False, False, ..., False, False, False],
        [False, False, False, ..., False, False, False],
        [False, False, False, ..., False, False, False]],

       [[False, False, False, ..., False, False, False],
        [False, False, False, ..., False, False, False],
        [False, False, False, ..., False, False, False],
        ..., 
        [False, False, False, ..., False, False, False],
        [False, False, False, ..., False, False, False],
        [False, False, False, ..., False, False, False]]], dtype=bool)
Coordinates:
  * lat      (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 27.37 ...
  * lon      (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 45.63 ...
  * time     (time) datetime64[ns] 2002-07-04 2002-07-12 2002-07-20 ...

Count the number of ocean data points

First we have to figure out the land mask. Unfortunately it doesn't come with the dataset. But we can infer it by counting all the points that have at least one non-nan chlorophyll value.





In [16]:



    


(ds_8day.chlor_a>0).sum(dim='time').plot()



    


















    






/Users/vyan2000/local/miniconda3/envs/condapython3/lib/python3.5/site-packages/xarray/core/variable.py:1046: RuntimeWarning: invalid value encountered in greater
  if not reflexive










    
Out[16]:








<matplotlib.collections.QuadMesh at 0x11979efd0>










    
























In [17]:



    


#  find a mask for the land
ocean_mask = (ds_8day.chlor_a>0).sum(dim='time')>0
#ocean_mask = (ds_daily.chlor_a>0).sum(dim='time')>0
num_ocean_points = ocean_mask.sum().values  # compute the total nonzeros regions(data point)
ocean_mask.plot()
plt.title('%g total ocean points' % num_ocean_points)



    


















    






/Users/vyan2000/local/miniconda3/envs/condapython3/lib/python3.5/site-packages/xarray/core/variable.py:1046: RuntimeWarning: invalid value encountered in greater
  if not reflexive










    
Out[17]:








<matplotlib.text.Text at 0x13d3f6b70>










    
























In [18]:



    


ds_8day



    


















    
Out[18]:








<xarray.Dataset>
Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3, time: 667)
Coordinates:
  * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
  * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
  * rgb            (rgb) int64 0 1 2
  * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
  * time           (time) datetime64[ns] 2002-07-04 2002-07-12 2002-07-20 ...
Data variables:
    chlor_a        (time, lat, lon) float64 nan nan nan nan nan nan nan nan ...
    palette        (time, rgb, eightbitcolor) float64 -109.0 0.0 108.0 ...

















In [19]:



    


ds_daily



    


















    
Out[19]:








<xarray.Dataset>
Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3, time: 5295)
Coordinates:
  * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
  * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
  * rgb            (rgb) int64 0 1 2
  * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
  * time           (time) datetime64[ns] 2002-07-04 2002-07-05 2002-07-06 ...
Data variables:
    chlor_a        (time, lat, lon) float64 nan nan nan nan nan nan nan nan ...
    palette        (time, rgb, eightbitcolor) float64 -109.0 0.0 108.0 ...

















In [20]:



    


plt.figure(figsize=(8,6))
ds_daily.chlor_a.sel(time='2002-11-18',method='nearest').plot(norm=LogNorm())
#ds_daily.chlor_a.sel(time=target_date, method='nearest').plot(norm=LogNorm())



    


















    
Out[20]:








<matplotlib.collections.QuadMesh at 0x11c3897f0>










    






/Users/vyan2000/local/miniconda3/envs/condapython3/lib/python3.5/site-packages/matplotlib/colors.py:1022: RuntimeWarning: invalid value encountered in less_equal
  mask |= resdat <= 0










    
























In [21]:



    


list(ds_daily.groupby('time')) # take a look at what's inside



    


















    
Out[21]:








[(numpy.datetime64('2002-07-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-07-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-07-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-07-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-07-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-07-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-07-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-07-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-07-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-07-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-07-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-07-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-07-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-07-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-07-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-07-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-07-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-07-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-07-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-07-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-07-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-07-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-07-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-07-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-07-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-07-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-07-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 nan nan nan nan nan nan nan ...),
 (numpy.datetime64('2002-07-31T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-07-31
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 nan nan nan nan nan nan nan ...),
 (numpy.datetime64('2002-08-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 nan nan nan nan nan nan nan ...),
 (numpy.datetime64('2002-08-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 nan nan nan nan nan nan nan ...),
 (numpy.datetime64('2002-08-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 nan nan nan nan nan nan nan ...),
 (numpy.datetime64('2002-08-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 nan nan nan nan nan nan nan ...),
 (numpy.datetime64('2002-08-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 nan nan nan nan nan nan nan ...),
 (numpy.datetime64('2002-08-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-08-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-08-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-08-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-08-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-08-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-08-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-08-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-08-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-08-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-08-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-08-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-08-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-08-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-08-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-08-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-08-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-08-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-08-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-08-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-08-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-08-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-08-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-08-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-08-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-08-31T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-08-31
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-09-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-09-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-10-31T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-10-31
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-11-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-11-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2002-12-31T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2002-12-31
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-01-31T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-01-31
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-02-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-02-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-03-31T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-03-31
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-04-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-04-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-05-31T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-05-31
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-06-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-06-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-07-31T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-07-31
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-08-31T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-08-31
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-09-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-09-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-10-31T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-10-31
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-11-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-11-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2003-12-31T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2003-12-31
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-01-31T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-01-31
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-02-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-02-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-03-31T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-03-31
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-04-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-04-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-05-31T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-05-31
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-06-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-06-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-07-31T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-07-31
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-08-31T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-08-31
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-09-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-09-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-10-31T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-10-31
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-11-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-11-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2004-12-31T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2004-12-31
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-30T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-30
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-01-31T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-01-31
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-02-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-02-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-01T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-01
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-02T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-02
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-03T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-03
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-04T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-04
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-05T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-05
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-06T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-06
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-07T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-07
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-08T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-08
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-09T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-09
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-10T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-10
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-11T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-11
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-12T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-12
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-13T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-13
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-14T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-14
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-15T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-15
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-16T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-16
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-17T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-17
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-18T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-18
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-19T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-19
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-20T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-20
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-21T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-21
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-22T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-22
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-23T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-23
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-24T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-24
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-25T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-25
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-26T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-26
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-27T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-27
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-28T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-28
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 (numpy.datetime64('2005-03-29T00:00:00.000000000'), <xarray.Dataset>
  Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3)
  Coordinates:
    * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
    * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
    * rgb            (rgb) int64 0 1 2
    * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
      time           datetime64[ns] 2005-03-29
  Data variables:
      chlor_a        (lat, lon) float64 nan nan nan nan nan nan nan nan nan ...
      palette        (rgb, eightbitcolor) float64 -109.0 0.0 108.0 -112.0 0.0 ...),
 ...]

Now we count up the number of valid points in each snapshot and divide by the total number of ocean points.





In [22]:



    


'''
<xarray.Dataset>
Dimensions:        (eightbitcolor: 256, lat: 144, lon: 276, rgb: 3, time: 4748)
'''
ds_daily.groupby('time').count() # information from original data



    


















    
Out[22]:








<xarray.Dataset>
Dimensions:  (time: 5295)
Coordinates:
  * time     (time) datetime64[ns] 2002-07-04 2002-07-05 2002-07-06 ...
Data variables:
    chlor_a  (time) int64 658 1170 1532 2798 2632 1100 1321 636 2711 1163 ...
    palette  (time) int64 768 768 768 768 768 768 768 768 768 768 768 768 ...

















In [23]:



    


ds_daily.chlor_a.groupby('time').count()/float(num_ocean_points)



    


















    
Out[23]:








<xarray.DataArray 'chlor_a' (time: 5295)>
array([ 0.01053255,  0.01872809,  0.02452259, ...,  0.        ,
        0.        ,  0.        ])
Coordinates:
  * time     (time) datetime64[ns] 2002-07-04 2002-07-05 2002-07-06 ...

















In [26]:



    


count_8day, count_2day, count_daily = [ds.chlor_a.groupby('time').count()/float(num_ocean_points)
                            for ds in (ds_8day, ds_2day, ds_daily)]



    











In [27]:



    


#count_8day = ds_8day.chl_ocx.groupby('time').count()/float(num_ocean_points)
#coundt_daily = ds_daily.chl_ocx.groupby('time').count()/float(num_ocean_points)

#count_8day, coundt_daily = [ds.chl_ocx.groupby('time').count()/float(num_ocean_points)
#                            for ds in ds_8day, ds_daily] # not work in python 3



    











In [28]:



    


plt.figure(figsize=(12,4))
count_8day.plot(color='k')
count_daily.plot(color='r')
count_2day.plot(color='b')

plt.legend(['8 day','daily',  '2 day' ])



    


















    
Out[28]:








<matplotlib.legend.Legend at 0x1cb1ee080>

Seasonal Climatology





In [29]:



    


count_8day_clim, coundt_daily_clim = [count.groupby('time.month').mean()  # monthly data
                                      for count in (count_8day, count_daily)]



    











In [30]:



    


# mean value of the monthly data on the count of nonzeros
plt.figure(figsize=(12,4))
count_8day_clim.plot(color='k')
coundt_daily_clim.plot(color='r')
plt.legend(['8 day', 'daily'])



    


















    
Out[30]:








<matplotlib.legend.Legend at 0x1cb352e80>

From the above figure, we see that data coverage is highest in the winter (especially Feburary) and lowest in summer.

Maps of individual days

Let's grab some data from Febrauary and plot it.





In [31]:



    


target_date = '2003-02-15'
plt.figure(figsize=(8,6))
ds_8day.chlor_a.sel(time=target_date, method='nearest').plot(norm=LogNorm())



    


















    
Out[31]:








<matplotlib.collections.QuadMesh at 0x12e1bbd68>










    






/Users/vyan2000/local/miniconda3/envs/condapython3/lib/python3.5/site-packages/matplotlib/colors.py:1022: RuntimeWarning: invalid value encountered in less_equal
  mask |= resdat <= 0










    
























In [32]:



    


plt.figure(figsize=(8,6))
ds_daily.chlor_a.sel(time=target_date, method='nearest').plot(norm=LogNorm())



    


















    
Out[32]:








<matplotlib.collections.QuadMesh at 0x1cb89be48>










    






/Users/vyan2000/local/miniconda3/envs/condapython3/lib/python3.5/site-packages/matplotlib/colors.py:1022: RuntimeWarning: invalid value encountered in less_equal
  mask |= resdat <= 0










    
























In [33]:



    


ds_daily.chlor_a[0].sel_points(lon=[65, 70], lat=[16, 18], method='nearest')   # the time is selected!
#ds_daily.chl_ocx[0].sel_points(time= times, lon=lons, lat=times, method='nearest')



    


















    
Out[33]:








<xarray.DataArray 'chlor_a' (points: 2)>
array([ nan,  nan])
Coordinates:
    time     datetime64[ns] 2002-07-04
    lat      (points) float64 16.04 18.04
    lon      (points) float64 65.04 70.04
  * points   (points) int64 0 1

















In [34]:



    


ds_daily.chlor_a.sel_points?



    











In [35]:



    


ds_2day = ds_daily.resample('2D', dim='time')
ds_2day



    


















    
Out[35]:








<xarray.Dataset>
Dimensions:        (eightbitcolor: 256, lat: 276, lon: 360, rgb: 3, time: 2648)
Coordinates:
  * lat            (lat) float64 27.96 27.87 27.79 27.71 27.62 27.54 27.46 ...
  * lon            (lon) float64 45.04 45.13 45.21 45.29 45.38 45.46 45.54 ...
  * rgb            (rgb) int64 0 1 2
  * eightbitcolor  (eightbitcolor) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 ...
  * time           (time) datetime64[ns] 2002-07-04 2002-07-06 2002-07-08 ...
Data variables:
    chlor_a        (time, lat, lon) float64 nan nan nan nan nan nan nan nan ...
    palette        (time, rgb, eightbitcolor) float64 -109.0 0.0 108.0 ...

















In [36]:



    


plt.figure(figsize=(8,6))
ds_2day.chlor_a.sel(time=target_date, method='nearest').plot(norm=LogNorm())



    


















    
Out[36]:








<matplotlib.collections.QuadMesh at 0x24ba252e8>










    






/Users/vyan2000/local/miniconda3/envs/condapython3/lib/python3.5/site-packages/matplotlib/colors.py:1022: RuntimeWarning: invalid value encountered in less_equal
  mask |= resdat <= 0










    
























In [39]:



    


# check the range for the longitude
print(ds_2day.lon.min(),'\n' ,ds_2day.lat.min())



    


















    






<xarray.DataArray 'lon' ()>
array(45.04166793823242) 
 <xarray.DataArray 'lat' ()>
array(5.041661739349365)

++++++++++++++++++++++++++++++++++++++++++++++

One GDP Floater

Load the float data

Map a (time, lon, lat) to a value on the cholorphlly value





In [40]:



    


# in the following we deal with the data from the gdp float
from buyodata  import buoydata
import os



    











In [41]:



    


# a list of files
#fnames = ['./gdp_float/buoydata_1_5000.dat','./gdp_float/buoydata_5001_10000.dat','./gdp_float/buoydata_10001_jun15.dat']
# not much data in the first file belong to Arabian Sea and after 2002-07-04 
fnames = ['./gdp_float/buoydata_1_5000.dat','./gdp_float/buoydata_5001_10000.dat']

# read them and cancatenate them into one DataFrame
df = pd.concat([buoydata.read_buoy_data(f) for f in fnames])  # around 4~5 minutes



    











In [42]:



    


df.head()



    


















    
Out[42]:










  
    

      
      time
      id
      lat
      lon
      temp
      ve
      vn
      spd
      var_lat
      var_lon
      var_tmp
    

  
  
    

      0
      1988-03-08 00:00:00
      7702986
      -1.320
      274.848
      25.473
      NaN
      NaN
      NaN
      0.000025
      0.000034
      0.004518
    

    

      1
      1988-03-08 06:00:00
      7702986
      -1.242
      274.772
      25.224
      -49.214
      36.778
      61.438
      0.000058
      0.000087
      0.007215
    

    

      2
      1988-03-08 12:00:00
      7702986
      -1.176
      274.657
      25.095
      -57.514
      28.439
      64.161
      0.000020
      0.000026
      0.005613
    

    

      3
      1988-03-08 18:00:00
      7702986
      -1.131
      274.548
      25.545
      -48.625
      28.747
      56.487
      0.000049
      0.000072
      0.005837
    

    

      4
      1988-03-09 00:00:00
      7702986
      -1.064
      274.468
      25.870
      -50.787
      34.399
      61.340
      0.000004
      0.000006
      0.003111
    

  




















In [43]:



    


#mask = df.time>='2002-07-04' # we only have data after this data for cho_ocx
dfvv = df[df.time>='2002-07-04']



    











In [44]:



    


sum(dfvv.time<'2002-07-04') # recheck whether the time is



    


















    
Out[44]:








0

















In [45]:



    


# process the data so that the longitude are all >0
print('before processing, the minimum longitude is%f4.3 and maximum is %f4.3' % (dfvv.lon.min(),dfvv.lon.max()))
mask = dfvv.lon<0
dfvv.lon[mask] = dfvv.loc[mask].lon + 360
print('after processing, the minimum longitude is %f4.3 and maximum is %f4.3' % (dfvv.lon.min(),dfvv.lon.max()) )



    


















    






before processing, the minimum longitude is0.0000004.3 and maximum is 360.0000004.3










    






/Users/vyan2000/local/miniconda3/envs/condapython3/lib/python3.5/site-packages/ipykernel/__main__.py:4: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy










    






after processing, the minimum longitude is 0.0000004.3 and maximum is 360.0000004.3










    






/Users/vyan2000/local/miniconda3/envs/condapython3/lib/python3.5/site-packages/pandas/core/generic.py:4695: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy
  self._update_inplace(new_data)
/Users/vyan2000/local/miniconda3/envs/condapython3/lib/python3.5/site-packages/IPython/core/interactiveshell.py:2881: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy
  exec(code_obj, self.user_global_ns, self.user_ns)

















In [46]:



    


dfvv.describe()



    


















    
Out[46]:










  
    

      
      id
      lat
      lon
      temp
      ve
      vn
      spd
      var_lat
      var_lon
      var_tmp
    

  
  
    

      count
      7.073300e+06
      7.031400e+06
      7.031400e+06
      6.586678e+06
      7.024293e+06
      7.024293e+06
      7.024293e+06
      7.073300e+06
      7.073300e+06
      7.073300e+06
    

    

      mean
      3.336960e+05
      -5.552521e+00
      2.170968e+02
      2.045166e+01
      -8.665476e-01
      4.587197e-01
      2.616451e+01
      5.923900e+00
      5.924337e+00
      6.880058e+01
    

    

      std
      1.022293e+06
      3.183803e+01
      9.545828e+01
      7.660974e+00
      2.510090e+01
      1.997282e+01
      1.858355e+01
      7.673717e+01
      7.673714e+01
      2.531077e+02
    

    

      min
      2.578000e+03
      -7.322200e+01
      0.000000e+00
      -5.081000e+00
      -2.841550e+02
      -2.601400e+02
      0.000000e+00
      1.243800e-06
      -3.941600e-02
      1.002200e-03
    

    

      25%
      3.692700e+04
      -3.190000e+01
      1.582970e+02
      1.580000e+01
      -1.556700e+01
      -1.053900e+01
      1.342200e+01
      5.732200e-06
      8.877000e-06
      1.504500e-03
    

    

      50%
      4.479400e+04
      -1.138200e+01
      2.189300e+02
      2.220400e+01
      -1.280000e+00
      2.100000e-01
      2.223400e+01
      1.128900e-05
      1.828800e-05
      1.847700e-03
    

    

      75%
      5.468000e+04
      2.328300e+01
      3.067940e+02
      2.695000e+01
      1.302300e+01
      1.119100e+01
      3.409000e+01
      2.673300e-05
      4.589000e-05
      2.944800e-03
    

    

      max
      9.914471e+06
      7.653900e+01
      3.600000e+02
      3.408600e+01
      2.924850e+02
      2.770340e+02
      2.965070e+02
      1.000000e+03
      1.000000e+03
      1.000000e+03
    

  




















In [47]:



    


# Select only the arabian sea region
arabian_sea = (dfvv.lon > 45) & (dfvv.lon< 75) & (dfvv.lat> 5) & (dfvv.lat <28)
# arabian_sea = {'lon': slice(45,75), 'lat': slice(5,28)} # later use this longitude and latitude
floats = dfvv.loc[arabian_sea]   # directly use mask
print('dfvv.shape is %s, floats.shape is %s' % (dfvv.shape, floats.shape) )



    


















    






dfvv.shape is (7073300, 11), floats.shape is (23910, 11)

















In [48]:



    


# visualization for the global and arabian sea region

# visualize the float around global region
fig, ax  = plt.subplots(figsize=(12,10))
dfvv.plot(kind='scatter', x='lon', y='lat', c='temp', cmap='RdBu_r', edgecolor='none', ax=ax)

# visualize the float around the arabian sea region
fig, ax  = plt.subplots(figsize=(12,10))
floats.plot(kind='scatter', x='lon', y='lat', c='temp', cmap='RdBu_r', edgecolor='none', ax=ax)



    


















    
Out[48]:








<matplotlib.axes._subplots.AxesSubplot at 0x15f8b8358>










    

















    
























In [49]:



    


# pands dataframe cannot do the resamplingn properly
# cause we are really indexing on ['time','id'], pandas.dataframe.resample cannot do this
# TypeError: Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex, but got an instance of 'MultiIndex'
print()



    


















    






























In [50]:



    


# dump the surface floater data from pandas.dataframe to xarray.dataset
floatsDS = xr.Dataset.from_dataframe(floats.set_index(['time','id']) ) # set time & id as the index); use reset_index to revert this operation
floatsDS



    


















    
Out[50]:








<xarray.Dataset>
Dimensions:  (id: 60, time: 5705)
Coordinates:
  * time     (time) datetime64[ns] 2002-07-04 2002-07-04T06:00:00 ...
  * id       (id) int64 7574 10206 10208 11089 15703 15707 27069 27139 28842 ...
Data variables:
    lat      (time, id) float64 nan 16.3 14.03 16.4 14.04 nan 20.11 nan ...
    lon      (time, id) float64 nan 66.23 69.48 64.58 69.51 nan 68.55 nan ...
    temp     (time, id) float64 nan nan nan 28.0 28.53 nan 28.93 nan 27.81 ...
    ve       (time, id) float64 nan 8.68 5.978 6.286 4.844 nan 32.9 nan ...
    vn       (time, id) float64 nan -13.18 -18.05 -7.791 -17.47 nan 15.81 ...
    spd      (time, id) float64 nan 15.78 19.02 10.01 18.13 nan 36.51 nan ...
    var_lat  (time, id) float64 nan 0.0002661 5.01e-05 5.018e-05 5.024e-05 ...
    var_lon  (time, id) float64 nan 0.0006854 8.851e-05 9.018e-05 8.968e-05 ...
    var_tmp  (time, id) float64 nan 1e+03 1e+03 0.003733 0.0667 nan 0.001683 ...

























In [51]:



    


# resample on the xarray.dataset onto two-day frequency
floatsDS_2D =floatsDS.resample('2D', dim='time')
floatsDS_2D



    


















    
Out[51]:








<xarray.Dataset>
Dimensions:  (id: 60, time: 973)
Coordinates:
  * id       (id) int64 7574 10206 10208 11089 15703 15707 27069 27139 28842 ...
  * time     (time) datetime64[ns] 2002-07-04 2002-07-06 2002-07-08 ...
Data variables:
    lon      (time, id) float64 nan 66.33 69.55 64.68 69.58 nan 68.74 nan ...
    ve       (time, id) float64 nan 13.06 8.505 12.17 8.686 nan 26.96 nan ...
    vn       (time, id) float64 nan -8.651 -20.75 -7.287 -20.2 nan 7.892 nan ...
    temp     (time, id) float64 nan nan nan 27.95 28.55 nan 29.01 nan 27.7 ...
    spd      (time, id) float64 nan 15.92 22.6 14.58 22.25 nan 28.45 nan ...
    var_tmp  (time, id) float64 nan 1e+03 1e+03 0.003688 0.07467 nan ...
    var_lon  (time, id) float64 nan 0.002281 9.329e-05 0.0001497 9.757e-05 ...
    lat      (time, id) float64 nan 16.23 13.89 16.35 13.9 nan 20.17 nan ...
    var_lat  (time, id) float64 nan 0.0007236 5.197e-05 7.609e-05 5.339e-05 ...

























In [52]:



    


# transfer it back to pandas.dataframe for plotting
floatsDF_2D = floatsDS_2D.to_dataframe()
floatsDF_2D



    


















    
Out[52]:










  
    

      
      
      lon
      ve
      vn
      temp
      spd
      var_tmp
      var_lon
      lat
      var_lat
    

    

      id
      time
      
      
      
      
      
      
      
      
      
    

  
  
    

      7574
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-07-06
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-07-08
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-07-10
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-07-12
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-07-14
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-07-16
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-07-18
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-07-20
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-07-22
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-07-24
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-07-26
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-07-28
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-07-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-08-01
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-08-03
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-08-05
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-08-07
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-08-09
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-08-11
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-08-13
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-08-15
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-08-17
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-08-19
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-08-21
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-08-23
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-08-25
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-08-27
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-08-29
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2002-08-31
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
    

    

      2444350
      2007-09-02
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-09-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-09-06
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-09-08
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-09-10
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-09-12
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-09-14
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-09-16
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-09-18
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-09-20
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-09-22
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-09-24
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-09-26
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-09-28
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-09-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-10-02
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-10-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-10-06
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-10-08
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-10-10
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-10-12
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-10-14
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-10-16
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-10-18
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-10-20
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-10-22
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-10-24
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-10-26
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-10-28
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

  



58380 rows × 9 columns



























In [53]:



    


floatsDF_2D = floatsDF_2D.reset_index()
floatsDF_2D



    


















    
Out[53]:










  
    

      
      id
      time
      lon
      ve
      vn
      temp
      spd
      var_tmp
      var_lon
      lat
      var_lat
    

  
  
    

      0
      7574
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      1
      7574
      2002-07-06
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2
      7574
      2002-07-08
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      3
      7574
      2002-07-10
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      4
      7574
      2002-07-12
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      5
      7574
      2002-07-14
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      6
      7574
      2002-07-16
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      7
      7574
      2002-07-18
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      8
      7574
      2002-07-20
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      9
      7574
      2002-07-22
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      10
      7574
      2002-07-24
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      11
      7574
      2002-07-26
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      12
      7574
      2002-07-28
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      13
      7574
      2002-07-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      14
      7574
      2002-08-01
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      15
      7574
      2002-08-03
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      16
      7574
      2002-08-05
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      17
      7574
      2002-08-07
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      18
      7574
      2002-08-09
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      19
      7574
      2002-08-11
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      20
      7574
      2002-08-13
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      21
      7574
      2002-08-15
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      22
      7574
      2002-08-17
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      23
      7574
      2002-08-19
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      24
      7574
      2002-08-21
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      25
      7574
      2002-08-23
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      26
      7574
      2002-08-25
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      27
      7574
      2002-08-27
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      28
      7574
      2002-08-29
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      29
      7574
      2002-08-31
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
    

    

      58350
      2444350
      2007-09-02
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58351
      2444350
      2007-09-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58352
      2444350
      2007-09-06
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58353
      2444350
      2007-09-08
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58354
      2444350
      2007-09-10
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58355
      2444350
      2007-09-12
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58356
      2444350
      2007-09-14
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58357
      2444350
      2007-09-16
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58358
      2444350
      2007-09-18
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58359
      2444350
      2007-09-20
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58360
      2444350
      2007-09-22
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58361
      2444350
      2007-09-24
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58362
      2444350
      2007-09-26
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58363
      2444350
      2007-09-28
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58364
      2444350
      2007-09-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58365
      2444350
      2007-10-02
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58366
      2444350
      2007-10-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58367
      2444350
      2007-10-06
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58368
      2444350
      2007-10-08
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58369
      2444350
      2007-10-10
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58370
      2444350
      2007-10-12
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58371
      2444350
      2007-10-14
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58372
      2444350
      2007-10-16
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58373
      2444350
      2007-10-18
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58374
      2444350
      2007-10-20
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58375
      2444350
      2007-10-22
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58376
      2444350
      2007-10-24
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58377
      2444350
      2007-10-26
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58378
      2444350
      2007-10-28
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58379
      2444350
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

  



58380 rows × 11 columns



























In [54]:



    


# visualize the 2D-floats around arabian region
fig, ax  = plt.subplots(figsize=(12,10))
floatsDF_2D.plot(kind='scatter', x='lon', y='lat', c='temp', cmap='RdBu_r', edgecolor='none', ax=ax)



    


















    
Out[54]:








<matplotlib.axes._subplots.AxesSubplot at 0x1cb1de828>










    
































In [ ]:



    






    



















In [55]:



    


# get the value for the chllorophy for each data entry
floats_timeorder = floatsDF_2D.sort_values(['time','id'],ascending=True)



    



















In [56]:



    


floats_timeorder  # check whether it is time ordered!!



    


















    
Out[56]:










  
    

      
      id
      time
      lon
      ve
      vn
      temp
      spd
      var_tmp
      var_lon
      lat
      var_lat
    

  
  
    

      0
      7574
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      973
      10206
      2002-07-04
      66.330375
      13.064500
      -8.650875
      NaN
      15.915625
      1000.000000
      0.002281
      16.229625
      0.000724
    

    

      1946
      10208
      2002-07-04
      69.552375
      8.505125
      -20.755000
      NaN
      22.603500
      1000.000000
      0.000093
      13.891875
      0.000052
    

    

      2919
      11089
      2002-07-04
      64.683750
      12.168000
      -7.286875
      27.954125
      14.582375
      0.003688
      0.000150
      16.354375
      0.000076
    

    

      3892
      15703
      2002-07-04
      69.583125
      8.685875
      -20.195125
      28.552250
      22.251500
      0.074665
      0.000098
      13.903250
      0.000053
    

    

      4865
      15707
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      5838
      27069
      2002-07-04
      68.737500
      26.958750
      7.891750
      29.012000
      28.453250
      0.001705
      0.000108
      20.169750
      0.000058
    

    

      6811
      27139
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      7784
      28842
      2002-07-04
      60.694625
      10.499125
      -0.333875
      27.701750
      23.813750
      0.003176
      0.000254
      18.878875
      0.000118
    

    

      8757
      34159
      2002-07-04
      58.914250
      27.354250
      4.591750
      NaN
      28.099500
      1000.000000
      0.000119
      12.548125
      0.000063
    

    

      9730
      34210
      2002-07-04
      56.925000
      -9.666750
      -13.510125
      26.694875
      17.964875
      0.003670
      0.000168
      6.476750
      0.000081
    

    

      10703
      34211
      2002-07-04
      67.929125
      20.618125
      -12.301625
      28.278000
      24.182875
      0.003506
      0.000084
      8.602375
      0.000047
    

    

      11676
      34212
      2002-07-04
      64.750250
      14.641875
      13.108750
      28.470750
      20.799125
      0.003616
      0.000090
      6.232000
      0.000050
    

    

      12649
      34223
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      13622
      34310
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      14595
      34311
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      15568
      34312
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      16541
      34314
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      17514
      34315
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      18487
      34374
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      19460
      34708
      2002-07-04
      59.691500
      47.792000
      2.521375
      27.185500
      47.992125
      0.001837
      0.000096
      10.167500
      0.000052
    

    

      20433
      34709
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      21406
      34710
      2002-07-04
      49.905250
      -34.754625
      24.402875
      30.910625
      48.126875
      0.001782
      0.000067
      12.933625
      0.000038
    

    

      22379
      34714
      2002-07-04
      63.649625
      38.417625
      12.527125
      27.686625
      40.572875
      0.001824
      0.000109
      13.594750
      0.000058
    

    

      23352
      34716
      2002-07-04
      65.384500
      38.942875
      -0.596250
      28.801750
      39.294625
      0.001819
      0.000094
      7.491000
      0.000052
    

    

      24325
      34718
      2002-07-04
      72.396375
      21.462750
      -24.061500
      29.153625
      32.457375
      0.001687
      0.000085
      16.328750
      0.000048
    

    

      25298
      34719
      2002-07-04
      70.946250
      19.908500
      -7.665125
      28.922500
      22.295250
      0.001596
      0.000094
      17.764375
      0.000052
    

    

      26271
      34720
      2002-07-04
      69.187000
      10.269000
      -36.005250
      28.644250
      37.705250
      0.001838
      0.000113
      14.825375
      0.000061
    

    

      27244
      34721
      2002-07-04
      65.375250
      8.379375
      -9.067750
      27.943750
      13.409375
      0.001730
      0.000120
      17.190250
      0.000063
    

    

      28217
      34722
      2002-07-04
      70.472250
      10.214125
      -3.672500
      28.734000
      11.342750
      0.001757
      0.000126
      11.729625
      0.000067
    

    

      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
    

    

      30162
      34723
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      31135
      36530
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      32108
      36537
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      33081
      43598
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      34054
      43740
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      35027
      43743
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      36000
      43744
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      36973
      43746
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      37946
      43748
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      38919
      43995
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      39892
      46470
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      40865
      46471
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      41838
      46472
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      42811
      53352
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      43784
      53358
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      44757
      53363
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      45730
      53364
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      46703
      53365
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      47676
      53366
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      48649
      53367
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      49622
      53404
      2007-10-30
      53.022400
      -7.558000
      -11.945500
      26.730200
      29.595750
      0.001492
      0.000026
      12.321200
      0.000014
    

    

      50595
      54371
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      51568
      57939
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      52541
      57940
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      53514
      59371
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      54487
      59372
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      55460
      59373
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      56433
      2134712
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      57406
      2343739
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58379
      2444350
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

  



58380 rows × 11 columns



























In [57]:



    


# a. loops through entries in the float
# b. add the chl data to the floater data
# c. then take the difference for the lagrange rate of change



    



















In [58]:



    


# a little test for the api in loops for the dataframe   
# check df.itertuples? it is faster and preserves the data format
'''
chl_ocx=[]
for row in floats_timeorder.itertuples():
    #print(row)
    #print('row.time = %s, row.id=%d, row.lon=%4.3f, row.lat=%4.3f' % (row.time,row.id,row.lon,row.lat)  )
    tmp=ds_2day.chl_ocx.sel_points(time=[row.time],lon=[row.lon], lat=[row.lat], method='nearest') # interpolation
    chl_ocx.append(tmp)
floats_timeorder['chl_ocx'] = pd.Series(chl_ocx, index=floats_timeorder.index)
chl_ocx[0].to_series
'''



    


















    
Out[58]:








"\nchl_ocx=[]\nfor row in floats_timeorder.itertuples():\n    #print(row)\n    #print('row.time = %s, row.id=%d, row.lon=%4.3f, row.lat=%4.3f' % (row.time,row.id,row.lon,row.lat)  )\n    tmp=ds_2day.chl_ocx.sel_points(time=[row.time],lon=[row.lon], lat=[row.lat], method='nearest') # interpolation\n    chl_ocx.append(tmp)\nfloats_timeorder['chl_ocx'] = pd.Series(chl_ocx, index=floats_timeorder.index)\nchl_ocx[0].to_series\n"

























In [59]:



    


# this one line avoid the list above
tmp = ds_2day.chlor_a.sel_points(time=list(floats_timeorder.time),lon=list(floats_timeorder.lon), lat=list(floats_timeorder.lat), method='nearest')
print('the count of nan vaues in tmp is',tmp.to_series().isnull().sum())

# tmp.to_series() to transfer it from xarray dataset to series
floats_timeorder['chlor_a'] = pd.Series(np.array(tmp.to_series()), index=floats_timeorder.index)
print("after editing the dataframe the non values in 'chlor_a' is",floats_timeorder.chlor_a.isnull().sum() )



    


















    






/Users/vyan2000/local/miniconda3/envs/condapython3/lib/python3.5/site-packages/pandas/indexes/base.py:2352: RuntimeWarning: invalid value encountered in less
  indexer = np.where(op(left_distances, right_distances) |
/Users/vyan2000/local/miniconda3/envs/condapython3/lib/python3.5/site-packages/pandas/indexes/base.py:2352: RuntimeWarning: invalid value encountered in less_equal
  indexer = np.where(op(left_distances, right_distances) |










    






the count of nan vaues in tmp is 57795
after editing the dataframe the non values in 'chlor_a' is 57795

























In [60]:



    


# take a look at the data
floats_timeorder



    


















    
Out[60]:










  
    

      
      id
      time
      lon
      ve
      vn
      temp
      spd
      var_tmp
      var_lon
      lat
      var_lat
      chlor_a
    

  
  
    

      0
      7574
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      973
      10206
      2002-07-04
      66.330375
      13.064500
      -8.650875
      NaN
      15.915625
      1000.000000
      0.002281
      16.229625
      0.000724
      NaN
    

    

      1946
      10208
      2002-07-04
      69.552375
      8.505125
      -20.755000
      NaN
      22.603500
      1000.000000
      0.000093
      13.891875
      0.000052
      NaN
    

    

      2919
      11089
      2002-07-04
      64.683750
      12.168000
      -7.286875
      27.954125
      14.582375
      0.003688
      0.000150
      16.354375
      0.000076
      NaN
    

    

      3892
      15703
      2002-07-04
      69.583125
      8.685875
      -20.195125
      28.552250
      22.251500
      0.074665
      0.000098
      13.903250
      0.000053
      NaN
    

    

      4865
      15707
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      5838
      27069
      2002-07-04
      68.737500
      26.958750
      7.891750
      29.012000
      28.453250
      0.001705
      0.000108
      20.169750
      0.000058
      NaN
    

    

      6811
      27139
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      7784
      28842
      2002-07-04
      60.694625
      10.499125
      -0.333875
      27.701750
      23.813750
      0.003176
      0.000254
      18.878875
      0.000118
      NaN
    

    

      8757
      34159
      2002-07-04
      58.914250
      27.354250
      4.591750
      NaN
      28.099500
      1000.000000
      0.000119
      12.548125
      0.000063
      NaN
    

    

      9730
      34210
      2002-07-04
      56.925000
      -9.666750
      -13.510125
      26.694875
      17.964875
      0.003670
      0.000168
      6.476750
      0.000081
      0.207322
    

    

      10703
      34211
      2002-07-04
      67.929125
      20.618125
      -12.301625
      28.278000
      24.182875
      0.003506
      0.000084
      8.602375
      0.000047
      NaN
    

    

      11676
      34212
      2002-07-04
      64.750250
      14.641875
      13.108750
      28.470750
      20.799125
      0.003616
      0.000090
      6.232000
      0.000050
      NaN
    

    

      12649
      34223
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      13622
      34310
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      14595
      34311
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      15568
      34312
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      16541
      34314
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      17514
      34315
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      18487
      34374
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      19460
      34708
      2002-07-04
      59.691500
      47.792000
      2.521375
      27.185500
      47.992125
      0.001837
      0.000096
      10.167500
      0.000052
      NaN
    

    

      20433
      34709
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      21406
      34710
      2002-07-04
      49.905250
      -34.754625
      24.402875
      30.910625
      48.126875
      0.001782
      0.000067
      12.933625
      0.000038
      NaN
    

    

      22379
      34714
      2002-07-04
      63.649625
      38.417625
      12.527125
      27.686625
      40.572875
      0.001824
      0.000109
      13.594750
      0.000058
      NaN
    

    

      23352
      34716
      2002-07-04
      65.384500
      38.942875
      -0.596250
      28.801750
      39.294625
      0.001819
      0.000094
      7.491000
      0.000052
      NaN
    

    

      24325
      34718
      2002-07-04
      72.396375
      21.462750
      -24.061500
      29.153625
      32.457375
      0.001687
      0.000085
      16.328750
      0.000048
      NaN
    

    

      25298
      34719
      2002-07-04
      70.946250
      19.908500
      -7.665125
      28.922500
      22.295250
      0.001596
      0.000094
      17.764375
      0.000052
      NaN
    

    

      26271
      34720
      2002-07-04
      69.187000
      10.269000
      -36.005250
      28.644250
      37.705250
      0.001838
      0.000113
      14.825375
      0.000061
      NaN
    

    

      27244
      34721
      2002-07-04
      65.375250
      8.379375
      -9.067750
      27.943750
      13.409375
      0.001730
      0.000120
      17.190250
      0.000063
      NaN
    

    

      28217
      34722
      2002-07-04
      70.472250
      10.214125
      -3.672500
      28.734000
      11.342750
      0.001757
      0.000126
      11.729625
      0.000067
      NaN
    

    

      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
    

    

      30162
      34723
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      31135
      36530
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      32108
      36537
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      33081
      43598
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      34054
      43740
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      35027
      43743
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      36000
      43744
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      36973
      43746
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      37946
      43748
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      38919
      43995
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      39892
      46470
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      40865
      46471
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      41838
      46472
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      42811
      53352
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      43784
      53358
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      44757
      53363
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      45730
      53364
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      46703
      53365
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      47676
      53366
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      48649
      53367
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      49622
      53404
      2007-10-30
      53.022400
      -7.558000
      -11.945500
      26.730200
      29.595750
      0.001492
      0.000026
      12.321200
      0.000014
      NaN
    

    

      50595
      54371
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      51568
      57939
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      52541
      57940
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      53514
      59371
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      54487
      59372
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      55460
      59373
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      56433
      2134712
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      57406
      2343739
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58379
      2444350
      2007-10-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

  



58380 rows × 12 columns



























In [61]:



    


######
# test for how to add a column to the dataframe
######
pd.Series(np.array(tmp.to_series())[:10], index = [3,4,5,6,7,8,9,10,15,22])
# if not make the first argument as pure np.array, then the index will based on the first entry!!!
#pd.Series(tmp.to_series()[:10], index = [3,4,5,6,7,8,9,10,15,22]) # does use this function



    


















    
Out[61]:








3    NaN
4    NaN
5    NaN
6    NaN
7    NaN
8    NaN
9    NaN
10   NaN
15   NaN
22   NaN
dtype: float64

























++++++++++++++++++++++++++++++++++++++++++++++
All GDP Floats
Load the float data
Map a (time, lon, lat) to a value on the cholorphlly value
















In [62]:



    


# in the following we deal with the data from the gdp float
from buyodata import buoydata
import os



    



















In [63]:



    


# a list of files
fnamesAll = ['./gdp_float/buoydata_1_5000.dat','./gdp_float/buoydata_5001_10000.dat','./gdp_float/buoydata_10001_15000.dat','./gdp_float/buoydata_15001_jun16.dat']
#fnames = ['./gdp_float/buoydata_1_5000.dat']



    



















In [64]:



    


# read them and cancatenate them into one DataFrame
dfAll = pd.concat([buoydata.read_buoy_data(f) for f in fnamesAll])  # around 4~5 minutes

#mask = df.time>='2002-07-04' # we only have data after this data for chlor_a
dfvvAll = dfAll[dfAll.time>='2002-07-04']

sum(dfvvAll.time<'2002-07-04') # recheck whether the time is



    


















    
Out[64]:








0

























In [65]:



    


print()



    


















    






























In [66]:



    


# process the data so that the longitude are all >0
print('before processing, the minimum longitude is%f4.3 and maximum is %f4.3' % (dfvvAll.lon.min(), dfvvAll.lon.max()))
mask = dfvvAll.lon<0
dfvvAll.lon[mask] = dfvvAll.loc[mask].lon + 360
print('after processing, the minimum longitude is %f4.3 and maximum is %f4.3' % (dfvvAll.lon.min(),dfvvAll.lon.max()) )

dfvvAll.describe()



    


















    






before processing, the minimum longitude is0.0000004.3 and maximum is 360.0000004.3










    






/Users/vyan2000/local/miniconda3/envs/condapython3/lib/python3.5/site-packages/ipykernel/__main__.py:4: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy
/Users/vyan2000/local/miniconda3/envs/condapython3/lib/python3.5/site-packages/pandas/core/generic.py:4695: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy
  self._update_inplace(new_data)
/Users/vyan2000/local/miniconda3/envs/condapython3/lib/python3.5/site-packages/IPython/core/interactiveshell.py:2881: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy
  exec(code_obj, self.user_global_ns, self.user_ns)










    






after processing, the minimum longitude is 0.0000004.3 and maximum is 360.0000004.3










    
Out[66]:










  
    

      
      id
      lat
      lon
      temp
      ve
      vn
      spd
      var_lat
      var_lon
      var_tmp
    

  
  
    

      count
      2.147732e+07
      2.131997e+07
      2.131997e+07
      1.986179e+07
      2.129142e+07
      2.129142e+07
      2.129142e+07
      2.147732e+07
      2.147732e+07
      2.147732e+07
    

    

      mean
      1.765662e+06
      -2.263128e+00
      2.124412e+02
      1.986121e+01
      2.454172e-01
      4.708192e-01
      2.613427e+01
      7.326258e+00
      7.326555e+00
      7.522298e+01
    

    

      std
      9.452835e+06
      3.401115e+01
      9.746941e+01
      8.339498e+00
      2.525050e+01
      2.052160e+01
      1.939087e+01
      8.527853e+01
      8.527851e+01
      2.637454e+02
    

    

      min
      2.578000e+03
      -7.764700e+01
      0.000000e+00
      -1.685000e+01
      -2.916220e+02
      -2.601400e+02
      0.000000e+00
      5.268300e-07
      -3.941600e-02
      1.001300e-03
    

    

      25%
      4.897500e+04
      -3.186000e+01
      1.490720e+02
      1.437300e+01
      -1.411400e+01
      -1.044700e+01
      1.290300e+01
      4.366500e-06
      7.512600e-06
      1.435700e-03
    

    

      50%
      7.141300e+04
      -4.920000e+00
      2.153940e+02
      2.214400e+01
      -5.560000e-01
      1.970000e-01
      2.176700e+01
      8.833600e-06
      1.495800e-05
      1.691700e-03
    

    

      75%
      1.094330e+05
      2.756000e+01
      3.064370e+02
      2.688900e+01
      1.356100e+01
      1.109300e+01
      3.405900e+01
      1.833300e-05
      3.627900e-05
      2.294200e-03
    

    

      max
      6.399288e+07
      8.989900e+01
      3.600000e+02
      4.595000e+01
      4.417070e+02
      2.783220e+02
      4.421750e+02
      1.000000e+03
      1.000000e+03
      1.000000e+03
    

  




























In [67]:



    


# Select only the arabian sea region
arabian_sea = (dfvvAll.lon > 45) & (dfvvAll.lon< 75) & (dfvvAll.lat> 5) & (dfvvAll.lat <28)
# arabian_sea = {'lon': slice(45,75), 'lat': slice(5,28)} # later use this longitude and latitude
floatsAll = dfvvAll.loc[arabian_sea]   # directly use mask
print('dfvvAll.shape is %s, floatsAll.shape is %s' % (dfvvAll.shape, floatsAll.shape) )


# visualize the float around global region
fig, ax  = plt.subplots(figsize=(12,10))
dfvvAll.plot(kind='scatter', x='lon', y='lat', c='temp', cmap='RdBu_r', edgecolor='none', ax=ax)

# visualize the float around the arabian sea region
fig, ax  = plt.subplots(figsize=(12,10))
floatsAll.plot(kind='scatter', x='lon', y='lat', c='temp', cmap='RdBu_r', edgecolor='none', ax=ax)



    


















    






dfvvAll.shape is (21477317, 11), floatsAll.shape is (111894, 11)










    
Out[67]:








<matplotlib.axes._subplots.AxesSubplot at 0x3ed1cc4e0>










    

















    
































In [68]:



    


# pands dataframe cannot do the resamplingn properly
# cause we are really indexing on ['time','id'], pandas.dataframe.resample cannot do this
# TypeError: Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex, but got an instance of 'MultiIndex'
print()



    


















    






























In [69]:



    


# dump the surface floater data from pandas.dataframe to xarray.dataset
floatsDSAll = xr.Dataset.from_dataframe(floatsAll.set_index(['time','id']) ) # set time & id as the index); use reset_index to revert this operation
floatsDSAll



    


















    
Out[69]:








<xarray.Dataset>
Dimensions:  (id: 259, time: 17499)
Coordinates:
  * time     (time) datetime64[ns] 2002-07-04 2002-07-04T06:00:00 ...
  * id       (id) int64 7574 10206 10208 11089 15703 15707 27069 27139 28842 ...
Data variables:
    lat      (time, id) float64 nan 16.3 14.03 16.4 14.04 nan 20.11 nan ...
    lon      (time, id) float64 nan 66.23 69.48 64.58 69.51 nan 68.55 nan ...
    temp     (time, id) float64 nan nan nan 28.0 28.53 nan 28.93 nan 27.81 ...
    ve       (time, id) float64 nan 8.68 5.978 6.286 4.844 nan 32.9 nan ...
    vn       (time, id) float64 nan -13.18 -18.05 -7.791 -17.47 nan 15.81 ...
    spd      (time, id) float64 nan 15.78 19.02 10.01 18.13 nan 36.51 nan ...
    var_lat  (time, id) float64 nan 0.0002661 5.01e-05 5.018e-05 5.024e-05 ...
    var_lon  (time, id) float64 nan 0.0006854 8.851e-05 9.018e-05 8.968e-05 ...
    var_tmp  (time, id) float64 nan 1e+03 1e+03 0.003733 0.0667 nan 0.001683 ...

























In [70]:



    


# resample on the xarray.dataset onto two-day frequency
floatsDSAll_2D =floatsDSAll.resample('2D', dim='time')
floatsDSAll_2D



    


















    
Out[70]:








<xarray.Dataset>
Dimensions:  (id: 259, time: 2556)
Coordinates:
  * id       (id) int64 7574 10206 10208 11089 15703 15707 27069 27139 28842 ...
  * time     (time) datetime64[ns] 2002-07-04 2002-07-06 2002-07-08 ...
Data variables:
    lon      (time, id) float64 nan 66.33 69.55 64.68 69.58 nan 68.74 nan ...
    ve       (time, id) float64 nan 13.06 8.505 12.17 8.686 nan 26.96 nan ...
    vn       (time, id) float64 nan -8.651 -20.75 -7.287 -20.2 nan 7.892 nan ...
    temp     (time, id) float64 nan nan nan 27.95 28.55 nan 29.01 nan 27.7 ...
    spd      (time, id) float64 nan 15.92 22.6 14.58 22.25 nan 28.45 nan ...
    var_tmp  (time, id) float64 nan 1e+03 1e+03 0.003688 0.07467 nan ...
    var_lon  (time, id) float64 nan 0.002281 9.329e-05 0.0001497 9.757e-05 ...
    lat      (time, id) float64 nan 16.23 13.89 16.35 13.9 nan 20.17 nan ...
    var_lat  (time, id) float64 nan 0.0007236 5.197e-05 7.609e-05 5.339e-05 ...

























In [71]:



    


# transfer it back to pandas.dataframe for plotting
floatsDFAll_2D = floatsDSAll_2D.to_dataframe()
floatsDFAll_2D
floatsDFAll_2D = floatsDFAll_2D.reset_index()
floatsDFAll_2D
# visualize the 2D-floats around arabian region
fig, ax  = plt.subplots(figsize=(12,10))
floatsDFAll_2D.plot(kind='scatter', x='lon', y='lat', c='temp', cmap='RdBu_r', edgecolor='none', ax=ax)



    


















    
Out[71]:








<matplotlib.axes._subplots.AxesSubplot at 0x1b03db2b0>










    
































In [72]:



    


# get the value for the chllorophy for each data entry
floatsDFAll_2Dtimeorder = floatsDFAll_2D.sort_values(['time','id'],ascending=True)
floatsDFAll_2Dtimeorder # check whether it is time ordered!!
# should we drop nan to speed up??



    


















    
Out[72]:










  
    

      
      id
      time
      lon
      ve
      vn
      temp
      spd
      var_tmp
      var_lon
      lat
      var_lat
    

  
  
    

      0
      7574
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2556
      10206
      2002-07-04
      66.330375
      13.064500
      -8.650875
      NaN
      15.915625
      1000.000000
      0.002281
      16.229625
      0.000724
    

    

      5112
      10208
      2002-07-04
      69.552375
      8.505125
      -20.755000
      NaN
      22.603500
      1000.000000
      0.000093
      13.891875
      0.000052
    

    

      7668
      11089
      2002-07-04
      64.683750
      12.168000
      -7.286875
      27.954125
      14.582375
      0.003688
      0.000150
      16.354375
      0.000076
    

    

      10224
      15703
      2002-07-04
      69.583125
      8.685875
      -20.195125
      28.552250
      22.251500
      0.074665
      0.000098
      13.903250
      0.000053
    

    

      12780
      15707
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      15336
      27069
      2002-07-04
      68.737500
      26.958750
      7.891750
      29.012000
      28.453250
      0.001705
      0.000108
      20.169750
      0.000058
    

    

      17892
      27139
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      20448
      28842
      2002-07-04
      60.694625
      10.499125
      -0.333875
      27.701750
      23.813750
      0.003176
      0.000254
      18.878875
      0.000118
    

    

      23004
      34159
      2002-07-04
      58.914250
      27.354250
      4.591750
      NaN
      28.099500
      1000.000000
      0.000119
      12.548125
      0.000063
    

    

      25560
      34173
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      28116
      34210
      2002-07-04
      56.925000
      -9.666750
      -13.510125
      26.694875
      17.964875
      0.003670
      0.000168
      6.476750
      0.000081
    

    

      30672
      34211
      2002-07-04
      67.929125
      20.618125
      -12.301625
      28.278000
      24.182875
      0.003506
      0.000084
      8.602375
      0.000047
    

    

      33228
      34212
      2002-07-04
      64.750250
      14.641875
      13.108750
      28.470750
      20.799125
      0.003616
      0.000090
      6.232000
      0.000050
    

    

      35784
      34223
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      38340
      34310
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      40896
      34311
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      43452
      34312
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      46008
      34314
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      48564
      34315
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      51120
      34374
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      53676
      34708
      2002-07-04
      59.691500
      47.792000
      2.521375
      27.185500
      47.992125
      0.001837
      0.000096
      10.167500
      0.000052
    

    

      56232
      34709
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58788
      34710
      2002-07-04
      49.905250
      -34.754625
      24.402875
      30.910625
      48.126875
      0.001782
      0.000067
      12.933625
      0.000038
    

    

      61344
      34714
      2002-07-04
      63.649625
      38.417625
      12.527125
      27.686625
      40.572875
      0.001824
      0.000109
      13.594750
      0.000058
    

    

      63900
      34716
      2002-07-04
      65.384500
      38.942875
      -0.596250
      28.801750
      39.294625
      0.001819
      0.000094
      7.491000
      0.000052
    

    

      66456
      34718
      2002-07-04
      72.396375
      21.462750
      -24.061500
      29.153625
      32.457375
      0.001687
      0.000085
      16.328750
      0.000048
    

    

      69012
      34719
      2002-07-04
      70.946250
      19.908500
      -7.665125
      28.922500
      22.295250
      0.001596
      0.000094
      17.764375
      0.000052
    

    

      71568
      34720
      2002-07-04
      69.187000
      10.269000
      -36.005250
      28.644250
      37.705250
      0.001838
      0.000113
      14.825375
      0.000061
    

    

      74124
      34721
      2002-07-04
      65.375250
      8.379375
      -9.067750
      27.943750
      13.409375
      0.001730
      0.000120
      17.190250
      0.000063
    

    

      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
    

    

      587879
      3098682
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      590435
      60073460
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      592991
      60074440
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      595547
      60077450
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      598103
      60150420
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      600659
      60454500
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      603215
      60656200
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      605771
      60657200
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      608327
      60658190
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      610883
      60659110
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      613439
      60659120
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      615995
      60659190
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      618551
      60659200
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      621107
      60940960
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      623663
      60940970
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      626219
      60941960
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      628775
      60941970
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      631331
      60942960
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      633887
      60942970
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      636443
      60943960
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      638999
      60943970
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      641555
      60944960
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      644111
      60944970
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      646667
      60945970
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      649223
      60946960
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      651779
      60947960
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      654335
      60947970
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      656891
      60948960
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      659447
      60950430
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      662003
      62321420
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

  



662004 rows × 11 columns



























In [73]:



    


floatsDFAll_2Dtimeorder.lon.dropna().shape  # the longitude data has lots of values (14340,)



    


















    
Out[73]:








(14340,)

























In [74]:



    


# this one line avoid the list above
# it took a really long time for 2D interpolation, it takes an hour
tmpAll = ds_2day.chlor_a.sel_points(time=list(floatsDFAll_2Dtimeorder.time),lon=list(floatsDFAll_2Dtimeorder.lon), lat=list(floatsDFAll_2Dtimeorder.lat), method='nearest')
print('the count of nan vaues in tmpAll is',tmpAll.to_series().isnull().sum())



    


















    






/Users/vyan2000/local/miniconda3/envs/condapython3/lib/python3.5/site-packages/pandas/indexes/base.py:2352: RuntimeWarning: invalid value encountered in less
  indexer = np.where(op(left_distances, right_distances) |
/Users/vyan2000/local/miniconda3/envs/condapython3/lib/python3.5/site-packages/pandas/indexes/base.py:2352: RuntimeWarning: invalid value encountered in less_equal
  indexer = np.where(op(left_distances, right_distances) |










    






the count of nan vaues in tmpAll is 659258

























In [75]:



    


#print(tmpAll.dropna().shape)
tmpAll.to_series().dropna().shape  # (2746,) good values



    


















    
Out[75]:








(2746,)

























In [76]:



    


print()



    


















    






























In [77]:



    


# tmp.to_series() to transfer it from xarray dataset to series
floatsDFAll_2Dtimeorder['chlor_a'] = pd.Series(np.array(tmpAll.to_series()), index=floatsDFAll_2Dtimeorder.index)

print("after editing the dataframe the nan values in 'chlor_a' is",floatsDFAll_2Dtimeorder.chlor_a.isnull().sum() )  # they should be the same values as above

# take a look at the data
floatsDFAll_2Dtimeorder

# visualize the float around the arabian sea region
fig, ax  = plt.subplots(figsize=(12,10))
floatsDFAll_2Dtimeorder.plot(kind='scatter', x='lon', y='lat', c='chlor_a', cmap='RdBu_r', edgecolor='none', ax=ax)



    


















    






after editing the dataframe the nan values in 'chlor_a' is 659258










    
Out[77]:








<matplotlib.axes._subplots.AxesSubplot at 0x1b03d62e8>










    
































In [78]:



    


def scale(x):
    logged = np.log10(x)
    return logged



    



















In [79]:



    


#print(floatsAll_timeorder['chlor_a'].apply(scale))
floatsDFAll_2Dtimeorder['chlor_a_log10'] = floatsDFAll_2Dtimeorder['chlor_a'].apply(scale)
floatsDFAll_2Dtimeorder
#print("after the transformation the nan values in 'chlor_a_log10' is", floatsAll_timeorder.chlor_a_log10.isnull().sum() )

# visualize the float around the arabian sea region
fig, ax  = plt.subplots(figsize=(12,10))
floatsDFAll_2Dtimeorder.plot(kind='scatter', x='lon', y='lat', c='chlor_a_log10', cmap='RdBu_r', edgecolor='none', ax=ax)
floatsDFAll_2Dtimeorder.chlor_a.dropna().shape  # (2746,) 
# floatsDFAll_2Dtimeorder.chlor_a_log10.dropna().shape  # (2746,)



    


















    
Out[79]:








(2746,)










    
































In [80]:



    


# take the diff of the chlor_a, and this has to be done in xarray
# transfer the dataframe into xarry dataset again
# take the difference
floatsDFAll_2Dtimeorder



    


















    
Out[80]:










  
    

      
      id
      time
      lon
      ve
      vn
      temp
      spd
      var_tmp
      var_lon
      lat
      var_lat
      chlor_a
      chlor_a_log10
    

  
  
    

      0
      7574
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      2556
      10206
      2002-07-04
      66.330375
      13.064500
      -8.650875
      NaN
      15.915625
      1000.000000
      0.002281
      16.229625
      0.000724
      NaN
      NaN
    

    

      5112
      10208
      2002-07-04
      69.552375
      8.505125
      -20.755000
      NaN
      22.603500
      1000.000000
      0.000093
      13.891875
      0.000052
      NaN
      NaN
    

    

      7668
      11089
      2002-07-04
      64.683750
      12.168000
      -7.286875
      27.954125
      14.582375
      0.003688
      0.000150
      16.354375
      0.000076
      NaN
      NaN
    

    

      10224
      15703
      2002-07-04
      69.583125
      8.685875
      -20.195125
      28.552250
      22.251500
      0.074665
      0.000098
      13.903250
      0.000053
      NaN
      NaN
    

    

      12780
      15707
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      15336
      27069
      2002-07-04
      68.737500
      26.958750
      7.891750
      29.012000
      28.453250
      0.001705
      0.000108
      20.169750
      0.000058
      NaN
      NaN
    

    

      17892
      27139
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      20448
      28842
      2002-07-04
      60.694625
      10.499125
      -0.333875
      27.701750
      23.813750
      0.003176
      0.000254
      18.878875
      0.000118
      NaN
      NaN
    

    

      23004
      34159
      2002-07-04
      58.914250
      27.354250
      4.591750
      NaN
      28.099500
      1000.000000
      0.000119
      12.548125
      0.000063
      NaN
      NaN
    

    

      25560
      34173
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      28116
      34210
      2002-07-04
      56.925000
      -9.666750
      -13.510125
      26.694875
      17.964875
      0.003670
      0.000168
      6.476750
      0.000081
      0.207322
      -0.683355
    

    

      30672
      34211
      2002-07-04
      67.929125
      20.618125
      -12.301625
      28.278000
      24.182875
      0.003506
      0.000084
      8.602375
      0.000047
      NaN
      NaN
    

    

      33228
      34212
      2002-07-04
      64.750250
      14.641875
      13.108750
      28.470750
      20.799125
      0.003616
      0.000090
      6.232000
      0.000050
      NaN
      NaN
    

    

      35784
      34223
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      38340
      34310
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      40896
      34311
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      43452
      34312
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      46008
      34314
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      48564
      34315
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      51120
      34374
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      53676
      34708
      2002-07-04
      59.691500
      47.792000
      2.521375
      27.185500
      47.992125
      0.001837
      0.000096
      10.167500
      0.000052
      NaN
      NaN
    

    

      56232
      34709
      2002-07-04
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      58788
      34710
      2002-07-04
      49.905250
      -34.754625
      24.402875
      30.910625
      48.126875
      0.001782
      0.000067
      12.933625
      0.000038
      NaN
      NaN
    

    

      61344
      34714
      2002-07-04
      63.649625
      38.417625
      12.527125
      27.686625
      40.572875
      0.001824
      0.000109
      13.594750
      0.000058
      NaN
      NaN
    

    

      63900
      34716
      2002-07-04
      65.384500
      38.942875
      -0.596250
      28.801750
      39.294625
      0.001819
      0.000094
      7.491000
      0.000052
      NaN
      NaN
    

    

      66456
      34718
      2002-07-04
      72.396375
      21.462750
      -24.061500
      29.153625
      32.457375
      0.001687
      0.000085
      16.328750
      0.000048
      NaN
      NaN
    

    

      69012
      34719
      2002-07-04
      70.946250
      19.908500
      -7.665125
      28.922500
      22.295250
      0.001596
      0.000094
      17.764375
      0.000052
      NaN
      NaN
    

    

      71568
      34720
      2002-07-04
      69.187000
      10.269000
      -36.005250
      28.644250
      37.705250
      0.001838
      0.000113
      14.825375
      0.000061
      NaN
      NaN
    

    

      74124
      34721
      2002-07-04
      65.375250
      8.379375
      -9.067750
      27.943750
      13.409375
      0.001730
      0.000120
      17.190250
      0.000063
      NaN
      NaN
    

    

      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
      ...
    

    

      587879
      3098682
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      590435
      60073460
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      592991
      60074440
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      595547
      60077450
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      598103
      60150420
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      600659
      60454500
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      603215
      60656200
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      605771
      60657200
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      608327
      60658190
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      610883
      60659110
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      613439
      60659120
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      615995
      60659190
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      618551
      60659200
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      621107
      60940960
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      623663
      60940970
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      626219
      60941960
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      628775
      60941970
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      631331
      60942960
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      633887
      60942970
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      636443
      60943960
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      638999
      60943970
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      641555
      60944960
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      644111
      60944970
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      646667
      60945970
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      649223
      60946960
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      651779
      60947960
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      654335
      60947970
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      656891
      60948960
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      659447
      60950430
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

    

      662003
      62321420
      2016-06-30
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
      NaN
    

  



662004 rows × 13 columns



























In [81]:



    


# unstack() will provide a 2d dataframe
# reset_index() will reset all the index as columns



    



















In [82]:



    


# prepare the data in dataset and about to take the diff
tmp = xr.Dataset.from_dataframe(floatsDFAll_2Dtimeorder.set_index(['time','id']) ) # set time & id as the index); use reset_index to revert this operation
# take the diff on the chlor_a
chlor_a_rate = tmp.diff(dim='time',n=1).chlor_a.to_series().reset_index()
# make the column to a proper name
chlor_a_rate.rename(columns={'chlor_a':'chl_rate'}, inplace='True')
chlor_a_rate


# merge the two dataframes {floatsDFAll_2Dtimeorder; chlor_a_rate} into one dataframe based on the index {id, time} and use the left method
floatsDFAllRate_2Dtimeorder=pd.merge(floatsDFAll_2Dtimeorder,chlor_a_rate, on=['time','id'], how = 'left')
floatsDFAllRate_2Dtimeorder

# check 
print('check the sum of the chlor_a before the merge', chlor_a_rate.chl_rate.sum())
print('check the sum of the chlor_a after the merge',floatsDFAllRate_2Dtimeorder.chl_rate.sum())


# visualize the chlorophyll rate, it is *better* to visualize at this scale
fig, ax  = plt.subplots(figsize=(12,10))
floatsDFAllRate_2Dtimeorder.plot(kind='scatter', x='lon', y='lat', c='chl_rate', cmap='RdBu_r', vmin=-0.8, vmax=0.8, edgecolor='none', ax=ax)

# visualize the chlorophyll rate on the log scale
floatsDFAllRate_2Dtimeorder['chl_rate_log10'] = floatsDFAllRate_2Dtimeorder['chl_rate'].apply(scale)
floatsDFAllRate_2Dtimeorder
fig, ax  = plt.subplots(figsize=(12,10))
floatsDFAllRate_2Dtimeorder.plot(kind='scatter', x='lon', y='lat', c='chl_rate_log10', cmap='RdBu_r', edgecolor='none', ax=ax)
#floatsDFAllRate_2Dtimeorder.chl_rate.dropna().shape   #  (1104,) data points..... 
floatsDFAllRate_2Dtimeorder.chl_rate_log10.dropna().shape   #  (488,) data points..... notice, chl_rate can be negative, so do not take log10



    


















    






check the sum of the chlor_a before the merge -58.721368204802275
check the sum of the chlor_a after the merge -58.721368204802275










    
Out[82]:








(488,)










    

















    
































In [83]:



    


#from datetime import datetime
#datetime(floatsDFAllRate_2Dtimeorder.time)

pd.to_datetime(floatsDFAllRate_2Dtimeorder.time)
type(pd.to_datetime(floatsDFAllRate_2Dtimeorder.time))
ts = pd.Series(0, index=pd.to_datetime(floatsDFAllRate_2Dtimeorder.time) ) # creat a target time series for masking purpose

# take the month out
month = ts.index.month 
# month.shape # a check on the shape of the month.
selector = ((11==month) | (12==month) | (1==month) | (2==month) | (3==month) )  
selector
print('shape of the selector', selector.shape)

print('all the data count in [11-01, 03-31]  is', floatsDFAllRate_2Dtimeorder[selector].chl_rate.dropna().shape) # total (805,)
print('all the data count is', floatsDFAllRate_2Dtimeorder.chl_rate.dropna().shape )   # total (1104,)



    


















    






shape of the selector (662004,)
all the data count in [11-01, 03-31]  is (805,)
all the data count is (1104,)

























In [84]:



    


# histogram for non standarized data
floatsDFAllRate_2Dtimeorder[selector].chl_rate.dropna().hist(bins=100,range=[-0.3,0.3])



    


















    
Out[84]:








<matplotlib.axes._subplots.AxesSubplot at 0x1c90414e0>










    
































In [85]:



    


# standarized series
ts = floatsDFAllRate_2Dtimeorder[selector].chl_rate.dropna()
ts_standardized = (ts - ts.mean())/ts.std()
ts_standardized.hist(bins=100,range=[-0.3,0.3])



    


















    
Out[85]:








<matplotlib.axes._subplots.AxesSubplot at 0x194a5d6a0>










    
































In [86]:



    


# all the data
fig, axes = plt.subplots(nrows=8, ncols=2, figsize=(12, 10))
fig.subplots_adjust(hspace=0.05, wspace=0.05)

for i, ax in zip(range(2002,2017), axes.flat) :
    tmpyear = floatsDFAllRate_2Dtimeorder[ (floatsDFAllRate_2Dtimeorder.time > str(i))  & (floatsDFAllRate_2Dtimeorder.time < str(i+1)) ] # if year i
    #fig, ax  = plt.subplots(figsize=(12,10))
    print(tmpyear.chl_rate.dropna().shape)   # total is 1056
    tmpyear.plot(kind='scatter', x='lon', y='lat', c='chl_rate', cmap='RdBu_r',vmin=-0.6, vmax=0.6, edgecolor='none', ax=ax)
    ax.set_title('year %g' % i)     
    

# remove the extra figure
ax = plt.subplot(8,2,16)
fig.delaxes(ax)



    


















    






(52,)
(60,)
(4,)
(49,)
(97,)
(79,)
(145,)
(46,)
(58,)
(13,)
(37,)
(58,)
(233,)
(125,)
(44,)










    
































In [87]:



    


fig, axes = plt.subplots(nrows=7, ncols=2, figsize=(12, 10))
fig.subplots_adjust(hspace=0.05, wspace=0.05)

for i, ax in zip(range(2002,2016), axes.flat) :
    tmpyear = floatsDFAllRate_2Dtimeorder[ (floatsDFAllRate_2Dtimeorder.time >= (str(i)+ '-11-01') )  & (floatsDFAllRate_2Dtimeorder.time <= (str(i+1)+'-03-31') ) ] # if year i
    # select only particular month, Nov 1 to March 31
    #fig, ax  = plt.subplots(figsize=(12,10))
    print(tmpyear.chl_rate.dropna().shape)  # the total is 805
    tmpyear.plot(kind='scatter', x='lon', y='lat', c='chl_rate', cmap='RdBu_r', vmin=-0.6, vmax=0.6, edgecolor='none', ax=ax)
    ax.set_title('year %g' % i)  
    
# remove the extra figure
# ax = plt.subplot(8,2,16)
# fig.delaxes(ax)



    


















    






(82,)
(1,)
(9,)
(76,)
(35,)
(132,)
(32,)
(46,)
(3,)
(37,)
(0,)
(176,)
(126,)
(50,)










    
































In [ ]:



    






    



















In [ ]:



    






    



















In [88]:



    


# let's output the data as a csv or hdf file to disk to save the experiment time

df_list = []
for i in range(2002,2017) :
    tmpyear = floatsDFAllRate_2Dtimeorder[ (floatsDFAllRate_2Dtimeorder.time >= (str(i)+ '-11-01') )  & (floatsDFAllRate_2Dtimeorder.time <= (str(i+1)+'-03-31') ) ] # if year i
    # select only particular month, Nov 1 to March 31
    df_list.append(tmpyear)
    
df_tmp = pd.concat(df_list)
print('all the data count in [11-01, 03-31]  is ', df_tmp.chl_rate.dropna().shape) # again, the total is (805,)
df_chl_out_2D_modisa = df_tmp[~df_tmp.chl_rate.isnull()] # only keep the non-nan values
#list(df_chl_out_2D.groupby(['id']))   # can see the continuity pattern of the Lagarangian difference for each float id

# output to a csv or hdf file
df_chl_out_2D_modisa.head()



    


















    






all the data count in [11-01, 03-31]  is  (805,)










    
Out[88]:










  
    

      
      id
      time
      lon
      ve
      vn
      temp
      spd
      var_tmp
      var_lon
      lat
      var_lat
      chlor_a
      chlor_a_log10
      chl_rate
      chl_rate_log10
    

  
  
    

      15828
      34721
      2002-11-03
      67.570000
      3.303000
      2.865500
      29.435500
      8.211375
      0.001823
      0.000135
      12.647250
      0.000069
      0.123307
      -0.909012
      -0.010569
      NaN
    

    

      16081
      34710
      2002-11-05
      63.160750
      0.491500
      10.219250
      28.991250
      10.749875
      0.001596
      0.000088
      17.127000
      0.000050
      0.445077
      -0.351565
      0.033500
      -1.474955
    

    

      16320
      11089
      2002-11-07
      64.835375
      -15.401500
      2.263500
      28.939625
      16.392000
      0.003391
      0.000105
      14.366875
      0.000056
      0.182671
      -0.738330
      0.024246
      -1.615360
    

    

      16322
      15707
      2002-11-07
      67.399125
      -19.144750
      -21.695125
      NaN
      29.499000
      1000.000000
      0.000118
      13.739500
      0.000063
      0.161665
      -0.791384
      -0.004139
      NaN
    

    

      16336
      34315
      2002-11-07
      57.375375
      -49.749875
      4.788500
      29.647125
      52.729375
      0.004589
      0.000085
      5.613000
      0.000048
      0.115356
      -0.937960
      -0.009359
      NaN
    

  




























In [89]:



    


df_chl_out_2D_modisa.index.name = 'index'  # make it specific for the index name
df_chl_out_2D_modisa.head()



    


















    
Out[89]:










  
    

      
      id
      time
      lon
      ve
      vn
      temp
      spd
      var_tmp
      var_lon
      lat
      var_lat
      chlor_a
      chlor_a_log10
      chl_rate
      chl_rate_log10
    

    

      index
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
    

  
  
    

      15828
      34721
      2002-11-03
      67.570000
      3.303000
      2.865500
      29.435500
      8.211375
      0.001823
      0.000135
      12.647250
      0.000069
      0.123307
      -0.909012
      -0.010569
      NaN
    

    

      16081
      34710
      2002-11-05
      63.160750
      0.491500
      10.219250
      28.991250
      10.749875
      0.001596
      0.000088
      17.127000
      0.000050
      0.445077
      -0.351565
      0.033500
      -1.474955
    

    

      16320
      11089
      2002-11-07
      64.835375
      -15.401500
      2.263500
      28.939625
      16.392000
      0.003391
      0.000105
      14.366875
      0.000056
      0.182671
      -0.738330
      0.024246
      -1.615360
    

    

      16322
      15707
      2002-11-07
      67.399125
      -19.144750
      -21.695125
      NaN
      29.499000
      1000.000000
      0.000118
      13.739500
      0.000063
      0.161665
      -0.791384
      -0.004139
      NaN
    

    

      16336
      34315
      2002-11-07
      57.375375
      -49.749875
      4.788500
      29.647125
      52.729375
      0.004589
      0.000085
      5.613000
      0.000048
      0.115356
      -0.937960
      -0.009359
      NaN
    

  




























In [90]:



    


# CSV CSV CSV CSV with specfic index
df_chl_out_2D_modisa.to_csv('df_chl_out_2D_modisa.csv', sep=',', index_label = 'index')

# load CSV output
test = pd.read_csv('df_chl_out_2D_modisa.csv', index_col='index')

# a check
test.head()



    


















    
Out[90]:










  
    

      
      id
      time
      lon
      ve
      vn
      temp
      spd
      var_tmp
      var_lon
      lat
      var_lat
      chlor_a
      chlor_a_log10
      chl_rate
      chl_rate_log10
    

    

      index
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
    

  
  
    

      15828
      34721
      2002-11-03
      67.570000
      3.303000
      2.865500
      29.435500
      8.211375
      0.001823
      0.000135
      12.647250
      0.000069
      0.123307
      -0.909012
      -0.010569
      NaN
    

    

      16081
      34710
      2002-11-05
      63.160750
      0.491500
      10.219250
      28.991250
      10.749875
      0.001596
      0.000088
      17.127000
      0.000050
      0.445077
      -0.351565
      0.033500
      -1.474955
    

    

      16320
      11089
      2002-11-07
      64.835375
      -15.401500
      2.263500
      28.939625
      16.392000
      0.003391
      0.000105
      14.366875
      0.000056
      0.182671
      -0.738330
      0.024246
      -1.615360
    

    

      16322
      15707
      2002-11-07
      67.399125
      -19.144750
      -21.695125
      NaN
      29.499000
      1000.000000
      0.000118
      13.739500
      0.000063
      0.161665
      -0.791384
      -0.004139
      NaN
    

    

      16336
      34315
      2002-11-07
      57.375375
      -49.749875
      4.788500
      29.647125
      52.729375
      0.004589
      0.000085
      5.613000
      0.000048
      0.115356
      -0.937960
      -0.009359
      NaN
    

  




























In [91]:



    


# HDF HDF HDF HDF
# deprecated!
'''
df_chl_out_2D.to_hdf('df_chl_out_2D.h5','df_chl_out_2D')

# load HDF5 output
test = pd.read_hdf('df_chl_out_2D.h5')

# a check
test.head()
'''



    


















    
Out[91]:








"\ndf_chl_out_2D.to_hdf('df_chl_out_2D.h5','df_chl_out_2D')\n\n# load HDF5 output\ntest = pd.read_hdf('df_chl_out_2D.h5')\n\n# a check\ntest.head()\n"

























Should we remove nan values in the interpolation steps?
















In [ ]:



    


# the question is: is the chlorophyll_ocx negatively correlated with the temperature?
# how many nans in the chlor_a, what's the percentage of nans

# first, do a resampling on the floater data onto the two days frequency
# second, dump the dataframe into a dataset 
# third, do the diff to get the rate of change in xarray
# fourth, plot the rate of changes for different years!!


# add the oxygen, add the salinity, add strain, add stress, add vorticity



    
















    


    

        

            

            

                Content source: vyan2000/ocml-public
            

            
Similar notebooks:

            

            
                notebook.community |
                gallery |
                about