|
| 1 | +""" |
| 2 | +========================================== |
| 3 | +Dealias doppler velocities for an RHI file |
| 4 | +========================================== |
| 5 | +
|
| 6 | +In this example doppler velocities from range height indicator (RHI) scans are dealiased, |
| 7 | +using custom parameters with the region-based dealiasing algorithm in Py-ART. |
| 8 | +""" |
| 9 | + |
| 10 | +print(__doc__) |
| 11 | + |
| 12 | +# Author: Max Grover (mgrover@anl.gov) |
| 13 | + |
| 14 | +import matplotlib.pyplot as plt |
| 15 | +from open_radar_data import DATASETS |
| 16 | + |
| 17 | +import pyart |
| 18 | + |
| 19 | +# Read data from the open-radar-data package |
| 20 | +file = DATASETS.fetch("cfrad.20211011_223602.712_to_20211011_223612.091_DOW8_RHI.nc") |
| 21 | +radar = pyart.io.read(file) |
| 22 | + |
| 23 | +################################################# |
| 24 | +# **Apply the default parameters for dealiasing** |
| 25 | +# |
| 26 | +# Now let's apply the default region-based technique |
| 27 | + |
| 28 | +# Retrieve the nyquist velocity from the first sweep |
| 29 | +nyq = radar.instrument_parameters["nyquist_velocity"]["data"][0] |
| 30 | + |
| 31 | +# Apply the dealiasing algorithm with default parameters |
| 32 | +velocity_dealiased = pyart.correct.dealias_region_based( |
| 33 | + radar, |
| 34 | + vel_field="VEL", |
| 35 | + nyquist_vel=nyq, |
| 36 | +) |
| 37 | + |
| 38 | +# Add the field to the radar object |
| 39 | +radar.add_field("corrected_velocity", velocity_dealiased, replace_existing=True) |
| 40 | + |
| 41 | +# Visualize the output |
| 42 | +fig = plt.figure(figsize=(12, 4)) |
| 43 | +ax1 = fig.add_subplot(121) |
| 44 | +display = pyart.graph.RadarDisplay(radar) |
| 45 | +display.plot( |
| 46 | + "VEL", |
| 47 | + ax=ax1, |
| 48 | + vmin=-30, |
| 49 | + vmax=30, |
| 50 | + cmap="balance", |
| 51 | + title="Uncorrected Radial Velocity", |
| 52 | +) |
| 53 | +cbar = display.cbs[0] |
| 54 | +# Modify the colorbar label and size |
| 55 | +cbar.set_label(label="Raw Radial Velocity ($V_{R}$) [m/s]", fontsize=12) |
| 56 | +plt.ylim(0, 10) |
| 57 | +plt.xlim(20, 60) |
| 58 | + |
| 59 | +ax2 = fig.add_subplot(122) |
| 60 | +display = pyart.graph.RadarDisplay(radar) |
| 61 | +display.plot( |
| 62 | + "corrected_velocity", |
| 63 | + ax=ax2, |
| 64 | + vmin=-30, |
| 65 | + vmax=30, |
| 66 | + cmap="balance", |
| 67 | + title="Corrected Radial Velocity", |
| 68 | +) |
| 69 | +cbar = display.cbs[0] |
| 70 | +# Modify the colorbar label and size |
| 71 | +cbar.set_label(label="Corrected Radial Velocity ($V_{R}$) [m/s]", fontsize=12) |
| 72 | +plt.ylim(0, 10) |
| 73 | +plt.xlim(20, 60) |
| 74 | + |
| 75 | +################################################# |
| 76 | +# **Refining the technique** |
| 77 | +# |
| 78 | +# If we use the default configuration, notice how extreme |
| 79 | +# the values are for the output. The algorithm keys on the |
| 80 | +# small variations in the clear air returns, and |
| 81 | +# results in much larger values than would be expected. |
| 82 | +# It is considered best practice to apply a base-level of |
| 83 | +# quality control here to improve the results. We can use velocity |
| 84 | +# texture as a base level, where the noisier data will be removed. |
| 85 | + |
| 86 | +# Calculate the velocity texture and add it to the radar object |
| 87 | +vel_texture = pyart.retrieve.calculate_velocity_texture( |
| 88 | + radar, |
| 89 | + vel_field="VEL", |
| 90 | + nyq=nyq, |
| 91 | +) |
| 92 | +radar.add_field("velocity_texture", vel_texture, replace_existing=True) |
| 93 | + |
| 94 | +# Set up the gatefilter to be based on the velocity texture. |
| 95 | +gatefilter = pyart.filters.GateFilter(radar) |
| 96 | +gatefilter.exclude_above("velocity_texture", 6) |
| 97 | + |
| 98 | +# Dealias with the gatefilter and add the corrected field to the radar object |
| 99 | +velocity_dealiased = pyart.correct.dealias_region_based( |
| 100 | + radar, |
| 101 | + vel_field="VEL", |
| 102 | + nyquist_vel=nyq, |
| 103 | + gatefilter=gatefilter, |
| 104 | +) |
| 105 | +radar.add_field("corrected_velocity", velocity_dealiased, replace_existing=True) |
| 106 | + |
| 107 | +# Visualize the output |
| 108 | +fig = plt.figure(figsize=(12, 4)) |
| 109 | +ax1 = fig.add_subplot(121) |
| 110 | +display = pyart.graph.RadarDisplay(radar) |
| 111 | +display.plot( |
| 112 | + "VEL", |
| 113 | + ax=ax1, |
| 114 | + vmin=-30, |
| 115 | + vmax=30, |
| 116 | + cmap="balance", |
| 117 | + title="Uncorrected Radial Velocity", |
| 118 | +) |
| 119 | +cbar = display.cbs[0] |
| 120 | + |
| 121 | +# Modify the colorbar label and size |
| 122 | +cbar.set_label(label="Raw Radial Velocity ($V_{R}$) [m/s]", fontsize=12) |
| 123 | +plt.ylim(0, 10) |
| 124 | +plt.xlim(20, 60) |
| 125 | + |
| 126 | +ax2 = fig.add_subplot(122) |
| 127 | +display = pyart.graph.RadarDisplay(radar) |
| 128 | +display.plot( |
| 129 | + "corrected_velocity", |
| 130 | + ax=ax2, |
| 131 | + vmin=-30, |
| 132 | + vmax=30, |
| 133 | + cmap="balance", |
| 134 | + title="Corrected Radial Velocity", |
| 135 | +) |
| 136 | +cbar = display.cbs[0] |
| 137 | + |
| 138 | +# Modify the colorbar label and size |
| 139 | +cbar.set_label(label="Corrected Radial Velocity ($V_{R}$) [m/s]", fontsize=12) |
| 140 | +plt.ylim(0, 10) |
| 141 | +plt.xlim(20, 60) |
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