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plot-fv3-incr+obs.py
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plot-fv3-incr+obs.py
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#=========================================================================
import os
import sys
import types
import getopt
import numpy as np
import matplotlib
import matplotlib.pyplot
from matplotlib import cm
from mpl_toolkits.basemap import Basemap
from readIODA2Obs import ReadIODA2Obs
sys.path.append('plot-utils')
from plottools import PlotTools
#------------------------------------------------------------------------------
if __name__ == '__main__':
debug = 1
output = 0
uselogp = 0
casename = 'surf'
datadir = '/scratch2/BMC/gsienkf/Wei.Huang/jedi/dev/build/intel/fv3-jedi/test/Data/hofx.lo'
obsfile = '%s/sfc_letkf-gfs_2020121500_m.nc4' %(datadir)
opts, args = getopt.getopt(sys.argv[1:], '', ['debug=', 'output=',
'casename=', 'obsfile=', 'datadir=', 'uselogp='])
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 ('--obsfile'):
obsfile = a
elif o in ('--datadir'):
datadir = a
#else:
# assert False, 'unhandled option'
print('debug = ', debug)
print('output = ', output)
print('casename = ', casename)
#------------------------------------------------------------------------------
nlon = 360
nlat = nlon/2 + 1
varname = 'T'
#varname = 't'
var = rg.get_latlon_data(varname, nlon=nlon, nlat=nlat, method='linear')
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)
#print('var.ndim = ', var.ndim)
#print('var.shape = ', var.shape)
#------------------------------------------------------------------------------
pt = PlotTools(debug=debug, output=output, lat=lat, lon=lon)
rio = ReadIODA2Obs(debug=debug, filename=obsfile)
olat, olon = rio.get_latlon()
for n in range(len(olon)):
if(olon[n] < 0.0):
olon[n] += 360.0
#print('olat = ', olat)
#print('olon = ', olon)
pt.set_obs_latlon(obslat=olat, obslon=olon)
#------------------------------------------------------------------------------
pt.set_label('Temperature (K)')
image_prefix = '%s_temperature' %(casename)
title_preix = '%s Temperature at' %(casename)
#------------------------------------------------------------------------------
clevs = np.arange(-2.0, 2.05, 0.05)
cblevs = np.arange(-2.0, 2.5, 0.5)
#clevs = np.arange(-0.5, 0.52, 0.02)
#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(-0.1, 0.102, 0.002)
#cblevs = np.arange(-0.1, 0.11, 0.01)
pt.set_clevs(clevs=clevs)
pt.set_cblevs(cblevs=cblevs)
pt.set_precision(precision=1)
#------------------------------------------------------------------------------
#levs = [0, 1, 40, 50, 62, 63]
levs = [41, 52, 63]
#levs = [60, 90, 100, 110, 120, 125]
for lev in levs:
pvar = var[lev,:,:]
imgname = '%s_lev_%d.png' %(image_prefix, lev)
title = '%s level %d' %(title_preix, lev)
pt.set_imagename(imgname)
pt.set_title(title)
#pt.plot(pvar, addmark=1, marker='x', size=3, color='green')
#pt.plot(pvar, addmark=1, marker='x', size=1, color='green')
pt.plot(pvar, addmark=1, marker='+', size=5, color='red')