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plot_fields.py
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# ============================*
# ** Copyright UCAR (c) 2020
# ** University Corporation for Atmospheric Research (UCAR)
# ** National Center for Atmospheric Research (NCAR)
# ** Research Applications Lab (RAL)
# ** P.O.Box 3000, Boulder, Colorado, 80307-3000, USA
# ============================*
import os
import sys
import argparse
import logging
import numpy as np
import matplotlib
# matplotlib.use('Agg')
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
import cartopy
import cartopy.crs as ccrs
import shapely.geometry as sgeom
from tc_utils import read_tcrmw, format_valid_time
def plot_fields(datadir, plotdir, filename, params):
"""
Plot TCRMW track and track centered range azimuth grids.
"""
logging.info(datadir)
logging.info(plotdir)
# valid_time, lat_grid, lon_grid, wind_data, scalar_data = \
# read_tcrmw(os.path.join(datadir, filename))
valid_time, lat_grid, lon_grid, \
range_grid, azimuth_grid, pressure_grid, \
track_data, wind_data, scalar_data \
= read_tcrmw(os.path.join(datadir, filename))
lat_track, lon_track \
= lat_grid[0, 0, :], lon_grid[0, 0, :]
lat_min, lat_max = lat_track.min(), lat_track.max()
lon_min, lon_max = lon_track.min(), lon_track.max()
lat_mid = (lat_min + lat_max) / 2
lon_mid = (lon_min + lon_max) / 2
logging.info((lon_min, lon_max))
logging.info((lat_min, lat_max))
# define projection and map
# proj = ccrs.Orthographic(
# central_latitude=lat_mid,
# central_longitude=lon_mid)
proj = ccrs.LambertConformal()
# proj = ccrs.PlateCarree()
proj_geom = ccrs.PlateCarree()
fig = plt.figure(figsize=(params['figsize'],params['figsize']))
ax = plt.axes(projection=proj)
ax.set_extent(
[lon_min - params['buffer'],
lon_max + params['buffer'],
lat_min - params['buffer'],
lat_max + params['buffer']])
ax.add_feature(cartopy.feature.LAND)
ax.add_feature(cartopy.feature.OCEAN)
ax.gridlines()
n_range, n_azimuth, n_track = lat_grid.shape
# plot scalar field
field = scalar_data[args.scalar_field] * args.scalar_field_scale
u_grid = wind_data['U']
v_grid = wind_data['V']
magnitude = (u_grid**2 + v_grid**2)**0.5
for i in range(params['start'], n_track, params['step']):
cfplot = plt.contourf(
# lon_grid[:,:,i], lat_grid[:,:,i], field[::-1,:,i],
lon_grid[:,:,i], lat_grid[:,:,i], field[:,:,i],
transform=proj_geom,
# cmap=ListedColormap(plt.cm.cividis.colors[::-1]),
cmap=plt.cm.gist_yarg,
alpha=0.5)
cplot = plt.contour(
# lon_grid[:,:,i], lat_grid[:,:,i], field[::-1,:,i],
lon_grid[:,:,i], lat_grid[:,:,i], field[:,:,i],
colors='k',
transform=proj_geom)
ax.clabel(cplot, colors='k', fmt='%1.0f', fontsize=14)
"""
vplot = plt.streamplot(
lon_grid[:,:,i], lat_grid[:,:,i],
# u_grid[::-1,:,i], v_grid[::-1,:,i],
u_grid[:,:,i], v_grid[:,:,i],
# color=magnitude[::-1,:,i],
color=magnitude[:,:,i],
transform=proj_geom, density=6)
"""
# plt.colorbar(cplot, shrink=0.8)
"""
cbar = plt.colorbar(vplot.lines,
orientation='vertical', pad=0.01)
cbar.set_label('Wind Speed (m s-1)', fontsize=20)
cbar.ax.tick_params(labelsize=20)
"""
# plot track
track = sgeom.LineString(zip(lon_track, lat_track))
ax.add_geometries([track], proj_geom,
edgecolor='black', facecolor='none', linewidth=4)
# plot grid
for i in range(params['start'], n_track, params['step']):
# scale = float(i) / n_track
scale = 0.5
for j in range(0, n_range, params['range_step']):
circle = sgeom.LineString(
zip(lon_grid[j,:,i], lat_grid[j,:,i]))
ax.add_geometries([circle], proj_geom,
edgecolor=(scale, scale, scale), facecolor='none')
circle = sgeom.LineString(
zip(lon_grid[-1,:,i], lat_grid[-1,:,i]))
ax.add_geometries([circle], proj_geom,
edgecolor=(scale, scale, scale), facecolor='none')
for j in range(0, n_azimuth, params['azimuth_step']):
line = sgeom.LineString(
zip(lon_grid[:,j,i], lat_grid[:,j,i]))
ax.add_geometries([line], proj_geom,
edgecolor=(scale, scale, scale), facecolor='none')
logging.debug(int(valid_time[params['start']]))
plt.title(params['title']
+ ' ' + format_valid_time(int(valid_time[params['start']])),
fontsize=24)
fig.canvas.draw()
plt.tight_layout()
# save figure
outfile = os.path.join(plotdir,
args.scalar_field + '_' + str(valid_time[params['start']]))
# plt.savefig(os.path.join(plotdir,
# filename.replace('.nc', '.png')), dpi=300)
# plt.savefig(os.path.join(plotdir,
# filename.replace('.nc', '.pdf')))
plt.savefig(outfile + '.png', dpi=300)
plt.savefig(outfile + '.pdf')
# display
plt.show()
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description='Tropical Cyclone Track Plot')
parser.add_argument(
'--datadir', type=str, dest='datadir', required=True)
parser.add_argument(
'--plotdir', type=str, dest='plotdir', required=True)
parser.add_argument(
'--filename', type=str, dest='filename', required=True)
parser.add_argument(
'--start', type=int, dest='start', required=False,
default=0)
parser.add_argument(
'--step', type=int, dest='step', required=False,
default=3)
parser.add_argument(
'--range_step', type=int, dest='range_step', required=False,
default=10)
parser.add_argument(
'--azimuth_step', type=int, dest='azimuth_step', required=False,
default=15)
parser.add_argument(
'--buffer', type=int, dest='buffer', required=False,
default=12)
parser.add_argument(
'--figsize', type=int, dest='figsize', required=False,
default=15)
parser.add_argument(
'--scalar_field', type=str, dest='scalar_field', required=False,
default='T')
parser.add_argument(
'--scalar_field_scale', type=float, dest='scalar_field_scale',
required=False,
default=1)
parser.add_argument(
'--title', type=str, dest='title', required=False,
default='')
args = parser.parse_args()
logging.basicConfig(stream=sys.stdout, level=logging.DEBUG)
params = {'start' : args.start,
'step' : args.step,
'range_step' : args.range_step,
'azimuth_step' : args.azimuth_step,
'buffer' : args.buffer,
'figsize' : args.figsize,
'scalar_field' : args.scalar_field,
'scalar_field_scale' : args.scalar_field_scale,
'title' : args.title}
plot_fields(args.datadir,
args.plotdir,
args.filename,
params)