Map a single radar to a Cartesian grid#

Map the reflectivity field of a single radar from Antenna coordinates to a Cartesian grid.

plot map one radar to grid
print(__doc__)

# Author: Jonathan J. Helmus (jhelmus@anl.gov)
# License: BSD 3 clause

import numpy as np
import matplotlib.pyplot as plt
import pyart
from pyart.testing import get_test_data

# read in the data
file = get_test_data('110635.mdv')
radar = pyart.io.read_mdv(file)

# mask out last 10 gates of each ray, this removes the "ring" around the radar.
radar.fields['reflectivity']['data'][:, -10:] = np.ma.masked

# exclude masked gates from the gridding
gatefilter = pyart.filters.GateFilter(radar)
gatefilter.exclude_transition()
gatefilter.exclude_masked('reflectivity')

# perform Cartesian mapping, limit to the reflectivity field.
grid = pyart.map.grid_from_radars(
    (radar,), gatefilters=(gatefilter, ),
    grid_shape=(1, 241, 241),
    grid_limits=((2000, 2000), (-123000.0, 123000.0), (-123000.0, 123000.0)),
    fields=['reflectivity'])

# create the plot
fig = plt.figure()
ax = fig.add_subplot(111)
ax.imshow(grid.fields['reflectivity']['data'][0], origin='lower')
plt.show()

Total running time of the script: ( 0 minutes 12.225 seconds)

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