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new-obs-jedi.py
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new-obs-jedi.py
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#=========================================================================
import os
import sys
import types
import getopt
import netCDF4
import matplotlib
import numpy as np
import matplotlib.pyplot
from matplotlib import cm
from mpl_toolkits.basemap import Basemap
from genplot import GeneratePlot as genplot
from readIODA2Obs import ReadIODA2Obs
#=========================================================================
class PlotObsOverlayIncrement():
def __init__(self, debug=0, output=0, filename=None):
self.debug = debug
self.output = output
self.filename = filename
if(self.debug):
print('debug = ', debug)
if(self.debug > 10):
print('self.filename = ', self.filename)
def get_var(self, varname):
#print('varname =', varname)
ncfile = netCDF4.Dataset(self.filename, 'r')
lat = ncfile.variables['lat'][:]
lon = ncfile.variables['lon'][:]
#var = ncfile.variables[varname][itime, :, :, :]
var = ncfile.variables[varname][:, :, :]
ncfile.close()
var[np.isnan(var)] = 0.0
if(self.debug):
msg = ('var range for variable %s: (%s, %s).' % (varname, var.min(), var.max()))
print(msg)
#lon2d, lat2d = np.meshgrid(lon, lat)
#print('lon.shape', lon.shape)
#print('lat2d.shape', lat2d.shape)
return lon, lat, var
#------------------------------------------------------------------------------
if __name__ == '__main__':
debug = 1
output = 0
uselogp = 1
varname = 'T'
casename = 'surf'
gridfile = '/work2/noaa/gsienkf/weihuang/jedi/case_study/vis/regrid/fv3latlon.nc'
obsfile = '/work2/noaa/gsienkf/weihuang/jedi/case_study/surf/ioda_v2_data/sfc_ps_obs_2020011006.nc4'
opts, args = getopt.getopt(sys.argv[1:], '', ['debug=', 'output=', 'uselogp=',
'gridfile=', 'obsfile=', 'casename=', 'varname='])
for o, a in opts:
if o in ('--debug'):
debug = int(a)
elif o in ('--output'):
output = int(a)
elif o in ('--uselogp'):
uselogp = int(a)
elif o in ('--casename'):
casename = a
elif o in ('--varname'):
varname = a
elif o in ('--gridfile'):
gridfile = a
elif o in ('--obsfile'):
obsfile = a
#else:
# assert False, 'unhandled option'
print('debug = ', debug)
print('output = ', output)
#------------------------------------------------------------------------------
po = PlotObsOverlayIncrement(debug=debug, output=output, filename=gridfile)
lon1d, lat1d, var = po.get_var(varname)
#------------------------------------------------------------------------------
gp = genplot(debug=debug, output=output, lat=lat1d, lon=lon1d)
robs = ReadIODA2Obs(debug=debug, filename=obsfile)
obslat, obslon = robs.get_latlon()
gp.set_obs_latlon(obslat=obslat, obslon=obslon)
#------------------------------------------------------------------------------
gp.set_label('Temperature (K)')
imageprefix = '%s_%s_increment' %(casename, varname)
titleprefix = '%s %s Increment at' %(casename, varname)
#------------------------------------------------------------------------------
#clevs = np.arange(-0.5, 0.51, 0.01)
#cblevs = np.arange(-0.5, 0.6, 0.1)
#clevs = np.arange(-0.2, 0.21, 0.01)
#cblevs = np.arange(-0.2, 0.3, 0.1)
clevs = np.arange(-2., 2.1, 0.1)
cblevs = np.arange(-2., 3., 1.)
#clevs = np.arange(-0.000002, 0.0000021, 0.0000001)
#cblevs = np.arange(-0.000002, 0.000003, 0.000001)
gp.set_clevs(clevs=clevs)
gp.set_cblevs(cblevs=cblevs)
levs = [30, 40, 50, 60]
for lev in levs:
pvar = var[lev,:,:]
imgname = '%s_lev_%d.png' %(imageprefix, lev)
title = '%s level %d' %(titleprefix, lev)
gp.set_imagename(imgname)
gp.set_title(title)
#gp.plot(pvar, addmark=1, marker='x', size=3, color='green')
#gp.plot(pvar, addmark=1, marker='x', size=1, color='green')
gp.plot(pvar, addmark=1, marker='x', size=1, color='green')
sys.exit(-1)
#------------------------------------------------------------------------------
lons = [40, 105, 170, 270, 300]
for lon in lons:
pvar = var[:,:,lon]
title = '%s longitude %d' %(titleprefix, lon)
gp.set_title(title)
imgname = '%s_lon_%d_logp.png' %(imageprefix, lon)
gp.set_imagename(imgname)
gp.plot_meridional_section_logp(pvar)
imgname = '%s_lon_%d_level.png' %(imageprefix, lon)
gp.set_imagename(imgname)
gp.plot_meridional_section(pvar)
#------------------------------------------------------------------------------
lats = [-30, 0, 45, 70]
for lat in lats:
pvar = var[:,90+lat,:]
gp.set_title(title)
title = '%s latitude %d' %(titleprefix, lat)
imgname = '%s_lat_%d_logp.png' %(imageprefix, lat)
gp.set_imagename(imgname)
gp.plot_zonal_section_logp(pvar)
imgname = '%s_lat_%d_level.png' %(imageprefix, lat)
gp.set_imagename(imgname)
gp.plot_zonal_section(pvar)