In [6]:

    

from ipyleaflet import Map, Velocity, TileLayer, basemaps
import xarray as xr


    

In [7]:

    

center = [44.33956524809713, -130.60546875000003]
zoom = 3
m = Map(center=center, zoom=zoom, interpolation='nearest', basemap=basemaps.CartoDB.DarkMatter)
m


    

In [3]:

    

import os

if not os.path.exists('wind-global.nc'):
    url = 'https://github.com/benbovy/xvelmap/raw/master/notebooks/wind-global.nc'
    import requests
    r = requests.get(url)
    wind_data = r.content
    with open('wind-global.nc', 'wb') as f:
        f.write(wind_data)


    

In [5]:

    

ds = xr.open_dataset('wind-global.nc')
ds


    

    
Out[5]:





<xarray.Dataset>
Dimensions:  (lat: 181, lon: 360)
Coordinates:
  * lat      (lat) float64 90.0 89.0 88.0 87.0 86.0 ... -87.0 -88.0 -89.0 -90.0
  * lon      (lon) float64 0.0 1.0 2.0 3.0 4.0 ... 355.0 356.0 357.0 358.0 359.0
Data variables:
    u_wind   (lat, lon) float64 ...
    v_wind   (lat, lon) float64 ...
Attributes:
    centerName:      US National Weather Service - NCEP(WMC)
    disciplineName:  Meteorological products
    refTime:         2016-04-30T06:00:00.000Z

In [6]:

    

display_options = {
    'velocityType': 'Global Wind',
    'displayPosition': 'bottomleft',
    'displayEmptyString': 'No wind data'
}
wind = Velocity(
    data=ds, 
    zonal_speed='u_wind', meridional_speed='v_wind', 
    latitude_dimension='lat', longitude_dimension='lon', 
    velocity_scale=0.01, max_velocity=20, 
    display_options=display_options
)
m.add_layer(wind)


    

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