Bonus 1: CHILL data!

Scott Collis¹ and Jonathan Helmus¹
1:Argonne National Laboratory
With thanks to Joe Hardin from CSU! </center> This is a case in example of the philosophy behind Py-ART!



In [ ]:

    
#first import!
import pyart
from matplotlib import pyplot as plt
%matplotlib inline



In [2]:

    
filename = 'data/CHL20100621_222020'
radar = pyart.io.read(filename)



In [11]:

    
print radar.fields.keys()









    



['linear_depolarization_ratio_h', 'differential_phase', 'cross_correlation_ratio', 'normalized_coherent_power', 'spectrum_width', 'reflectivity', 'differential_reflectivity', 'specific_differential_phase', 'velocity', 'linear_depolarization_ratio_v']



In [3]:

    
display = pyart.graph.RadarDisplay(radar)



In [21]:

    
fig = plt.figure(figsize = [20,10])
display.plot_rhi('reflectivity',vmax = 64)
plt.gca().set_ylim([0,15])
plt.gca().set_xlim([0,80])









    Out[21]:





(0, 80)



In [22]:

    
fig = plt.figure(figsize = [20,10])
display.plot_rhi('differential_reflectivity', vmin = -2, vmax =6)
plt.gca().set_ylim([0,15])
plt.gca().set_xlim([0,80])









    Out[22]:





(0, 80)



In [23]:

    
fig = plt.figure(figsize = [20,10])
display.plot_rhi('velocity')
plt.gca().set_ylim([0,15])
plt.gca().set_xlim([0,80])









    Out[23]:





(0, 80)



In [ ]: