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obs+gaussian-plot.py
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obs+gaussian-plot.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 scipy_regridder import RegridFV3 as regridder
from readGSIobs import ReadGSIobs
#=========================================================================
class PlotGaussian():
def __init__(self, debug=0, output=0, bkg=None, anl=None):
self.debug = debug
self.output = output
self.bkg = bkg
self.anl = anl
if(self.debug):
print('debug = ', debug)
if(self.debug > 10):
print('self.bkg = ', self.bkg)
print('self.anl = ', self.anl)
self.has_snd_file = 0
self.snd_file = None
def set_snd_file(self, filename):
self.has_snd_file = 1
self.snd_file = filename
def get_vardims(self, filename, varname):
if(self.debug > 1):
print('varname = ', varname)
print('filename = ', filename)
ncfile = netCDF4.Dataset(filename, 'r')
dimids = ncfile.variables[varname].dimensions
if(self.debug > 1):
print('dimids = ', dimids)
self.nx = 0
self.ny = 0
self.nz = 0
self.ntime = 0
print('dimids = ', dimids)
for dimname in dimids:
if(self.debug > 1):
print('dimname:', dimname)
if(dimname == 'time'):
self.ntime = len(ncfile.dimensions[dimname])
elif(dimname == 'pfull'):
self.nz = len(ncfile.dimensions[dimname])
elif(dimname == 'grid_yt'):
self.ny = len(ncfile.dimensions[dimname])
elif(dimname == 'grid_xt'):
self.nx = len(ncfile.dimensions[dimname])
if(self.debug):
print('self.nx = ', self.nx)
print('self.ny = ', self.ny)
print('self.nz = ', self.nz)
print('self.ntime = ', self.ntime)
def get_var(self, varname):
print('varname =', varname)
self.get_vardims(self.bkg, varname)
lat = np.zeros((self.ny, self.nx))
lon = np.zeros((self.ny, self.nx))
anl = np.zeros((self.nz, self.ny, self.nx))
bkg = np.zeros((self.nz, self.ny, self.nx))
anl_file = netCDF4.Dataset(self.anl, 'r')
lat = anl_file.variables['lat'][:, :]
lon = anl_file.variables['lon'][:, :]
anl = anl_file.variables[varname][0, :, :, :]
anl_file.close()
self.lats = lat.flatten()
self.lons = lon.flatten()
bkg_file = netCDF4.Dataset(self.bkg, 'r')
bkg = bkg_file.variables[varname][0, :, :, :]
bkg_file.close()
if(self.debug):
msg = ('analy range for variable %s: (%s, %s).' % (varname, anl.min(), anl.max()))
print(msg)
msg = ('bkgrd range for variable %s: (%s, %s).' % (varname, bkg.min(), bkg.max()))
print(msg)
incr = anl - bkg
#print('incr = ', incr)
return self.lons, self.lats, incr
def get_diff(self, varname):
print('varname =', varname)
self.get_vardims(self.anl, varname)
lat = np.zeros((self.ny, self.nx))
lon = np.zeros((self.ny, self.nx))
fst = np.zeros((self.nz, self.ny, self.nx))
snd = np.zeros((self.nz, self.ny, self.nx))
fst_file = netCDF4.Dataset(self.anl, 'r')
lat = fst_file.variables['lat'][:, :]
lon = fst_file.variables['lon'][:, :]
fst = fst_file.variables[varname][0, :, :, :]
fst_file.close()
self.lats = lat.flatten()
self.lons = lon.flatten()
snd_file = netCDF4.Dataset(self.snd_file, 'r')
snd = snd_file.variables[varname][0, :, :, :]
snd_file.close()
if(self.debug):
msg = ('fst range for variable %s: (%s, %s).' % (varname, fst.min(), fst.max()))
print(msg)
msg = ('snd range for variable %s: (%s, %s).' % (varname, snd.min(), snd.max()))
print(msg)
diff = snd - fst
#print('incr = ', incr)
return self.lons, self.lats, diff
#------------------------------------------------------------------------------
if __name__ == '__main__':
debug = 1
output = 0
addobs = 0
uselogp = 1
opts, args = getopt.getopt(sys.argv[1:], '', ['debug=', 'output=',
'addobs=', 'uselogp='])
for o, a in opts:
if o in ('--debug'):
debug = int(a)
elif o in ('--output'):
output = int(a)
elif o in ('--addobs'):
addobs = int(a)
elif o in ('--uselogp'):
uselogp = int(a)
#else:
# assert False, 'unhandled option'
print('debug = ', debug)
print('output = ', output)
print('addobs = ', addobs)
#datadir = '/work2/noaa/gsienkf/weihuang/C96_psonly_delp/2020011006'
#bkg = '%s/sfg_2020011006_fhr06_ensmean' %(datadir)
#anl = '%s/sanl_2020011006_fhr06_ensmean' %(datadir)
datadir = '/scratch2/BMC/gsienkf/Jeffrey.S.Whitaker/C96_psonly_delp/2020011006'
bkg = '%s/sfg_2020011006_fhr06_ensmean' %(datadir)
anl = '%s/sanl_2020011006_fhr06_ensmean' %(datadir)
#------------------------------------------------------------------------------
pg = PlotGaussian(debug=debug, output=output, bkg=bkg, anl=anl)
lon1d, lat1d, invar = pg.get_var('tmp')
rg = regridder(debug=debug, datafiles=[], gridspecfiles=[])
nlon = 360
nlat = nlon/2 + 1
dlon = 360.0/nlon
dlat = 180.0/(nlat - 1)
lon = np.arange(0.0, 360.0, dlon)
lat = np.arange(-90.0, 90.0+dlat, dlat)
var = rg.interp2latlon_data(lon1d, lat1d, invar, nlon=nlon, nlat=nlat, method='linear')
#------------------------------------------------------------------------------
gp = genplot(debug=debug, output=output, lat=lat, lon=lon)
if(addobs):
filename = '%s/diag_conv_ps_ges.2020011006_ensmean.nc4' %(datadir)
rgo = ReadGSIobs(debug=debug, filename=filename)
obslat, obslon = rgo.get_latlon()
gp.set_obs_latlon(obslat=obslat, obslon=obslon)
#------------------------------------------------------------------------------
gp.set_label('Temperature (K)')
#imageprefix = 'PSonly_gsi_sondes'
#titleprefix = 'PS only GSI Sondes Temperature at'
imageprefix = 'PSonly_GSI_LETKF'
titleprefix = 'PS only GSI LETKF Temperature at'
#------------------------------------------------------------------------------
#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(-2.0, 2.1, 0.1)
cblevs = np.arange(-2.0, 3.0, 1.0)
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')
#------------------------------------------------------------------------------
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,:]
title = '%s latitude %d' %(titleprefix, lat)
gp.set_title(title)
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)