Correct reflectivity attenuation#

In this example the reflectivity attenuation is calculated and then corrected for a polarimetric radar using a Z-PHI method implemented in Py-ART.

Attenuation correction using Py-ART, Raw Reflectivity, Specific Attenuation, Corrected Reflectivity
/home/runner/micromamba/envs/pyart-docs/lib/python3.12/site-packages/numpy/core/fromnumeric.py:771: UserWarning: Warning: 'partition' will ignore the 'mask' of the MaskedArray.
  a.partition(kth, axis=axis, kind=kind, order=order)

print(__doc__)

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

import matplotlib.pyplot as plt

import pyart

file = pyart.testing.get_test_data("sgpcsaprsurcmacI7.c0.20110520.095101.nc")

# read in the data
radar = pyart.io.read_cfradial(file)

# remove existing corrections
radar.fields.pop("specific_attenuation")
radar.fields.pop("corrected_reflectivity_horizontal")

# perform attenuation correction
spec_at, cor_z = pyart.correct.calculate_attenuation(
    radar,
    0,
    refl_field="reflectivity_horizontal",
    ncp_field="norm_coherent_power",
    rhv_field="copol_coeff",
    phidp_field="proc_dp_phase_shift",
)
radar.add_field("specific_attenuation", spec_at)
radar.add_field("corrected_reflectivity_horizontal", cor_z)

# create the plot
fig = plt.figure(figsize=(15, 5))
ax1 = fig.add_subplot(131)
display = pyart.graph.RadarDisplay(radar)
display.plot(
    "reflectivity_horizontal",
    0,
    ax=ax1,
    vmin=0,
    vmax=60.0,
    colorbar_label="",
    title="Raw Reflectivity",
)

ax2 = fig.add_subplot(132)
display.plot(
    "specific_attenuation",
    0,
    vmin=0,
    vmax=1.0,
    colorbar_label="",
    ax=ax2,
    title="Specific Attenuation",
)

ax3 = fig.add_subplot(133)
display = pyart.graph.RadarDisplay(radar)
display.plot(
    "corrected_reflectivity_horizontal",
    0,
    vmin=0,
    vmax=60.0,
    colorbar_label="",
    ax=ax3,
    title="Corrected Reflectivity",
)

plt.suptitle("Attenuation correction using Py-ART", fontsize=16)
plt.show()

Total running time of the script: (0 minutes 8.513 seconds)

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