Example on integrating radar and HRRR dataΒΆ

This is an example of how to retrieve winds in Hurricane Florence. In this example, we use data from 2 NEXRAD radars as well as from the HRRR to retrieve the winds

Grided netCDF files are downloadable from: https://drive.google.com/drive/u/1/folders/1pcQxWRJV78xuJePTZnlXPPpMe1qut0ie


Author: Robert C. Jackson

import urllib
import pyart
import pydda
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import numpy as np

hrrr_url = ('https://pando-rgw01.chpc.utah.edu/hrrr/prs/20180914/' +
urllib.request.urlretrieve(hrrr_url, 'test.grib2')

grid_mhx = pyart.io.read_grid('grid_mhx.nc')
grid_ltx = pyart.io.read_grid('grid_ltx.nc')

grid_mhx = pydda.constraints.add_hrrr_constraint_to_grid(grid_mhx,
u_init, v_init, w_init = pydda.initialization.make_constant_wind_field(
    grid_mhx, (0.0, 0.0, 0.0))
out_grids = pydda.retrieval.get_dd_wind_field(
    [grid_mhx, grid_ltx], u_init, v_init, w_init, Co=0.1, Cm=1000.0, Cmod=1e-3,
    mask_outside_opt=True, vel_name='corrected_velocity',

fig = plt.figure(figsize=(25, 15))
ax = plt.axes(projection=ccrs.PlateCarree())
ax = pydda.vis.plot_horiz_xsection_barbs_map(
    out_grids, ax=ax, bg_grid_no=-1, level=1, barb_spacing_x_km=20.0,
    barb_spacing_y_km=20.0, cmap='pyart_HomeyerRainbow')
ax.set_xticks(np.arange(-80, -75, 0.5))
ax.set_yticks(np.arange(33., 35.5, 0.5))
plt.title(out_grids[0].time['units'][13:] + ' winds at 0.5 km')

Total running time of the script: ( 0 minutes 0.000 seconds)

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