Map two radars to a Cartesian grid

Map the reflectivity field of two nearby ARM XSARP radars from antenna coordinates to a Cartesian grid.

print(__doc__)

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

import matplotlib.pyplot as plt

import pyart
from pyart.testing import get_test_data

# read in the data from both XSAPR radars
xsapr_sw_file = get_test_data("swx_20120520_0641.nc")
xsapr_se_file = get_test_data("sex_20120520_0641.nc")
radar_sw = pyart.io.read_cfradial(xsapr_sw_file)
radar_se = pyart.io.read_cfradial(xsapr_se_file)

# filter out gates with reflectivity > 100 from both radars
gatefilter_se = pyart.filters.GateFilter(radar_se)
gatefilter_se.exclude_transition()
gatefilter_se.exclude_above("corrected_reflectivity_horizontal", 100)
gatefilter_sw = pyart.filters.GateFilter(radar_sw)
gatefilter_sw.exclude_transition()
gatefilter_sw.exclude_above("corrected_reflectivity_horizontal", 100)

# perform Cartesian mapping, limit to the reflectivity field.
grid = pyart.map.grid_from_radars(
    (radar_se, radar_sw),
    gatefilters=(gatefilter_se, gatefilter_sw),
    grid_shape=(1, 201, 201),
    grid_limits=((1000, 1000), (-50000, 40000), (-60000, 40000)),
    grid_origin=(36.57861, -97.363611),
    fields=["corrected_reflectivity_horizontal"],
)

# create the plot
fig = plt.figure()
ax = fig.add_subplot(111)
ax.imshow(
    grid.fields["corrected_reflectivity_horizontal"]["data"][0],
    origin="lower",
    extent=(-60, 40, -50, 40),
    vmin=0,
    vmax=48,
)
plt.show()