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single-obs+fv3-plot.py
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single-obs+fv3-plot.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 scipy_regridder import RegridFV3 as regridder
from readIODA2Obs import ReadIODA2Obs
sys.path.append('plot-utils')
from plottools import PlotTools
#------------------------------------------------------------------------------
if __name__ == '__main__':
debug = 1
output = 0
addobs = 1
uselogp = 0
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)
#------------------------------------------------------------------------------
#griddir = '/work/noaa/gsienkf/weihuang/UFS-RNR-tools/JEDI.FV3-increments/grid/C96/'
griddir = '/work/noaa/gsienkf/weihuang/UFS-RNR-tools/JEDI.FV3-increments/grid/C48/'
casename = 'sondes'
casedir = '/work2/noaa/gsienkf/weihuang/jedi/case_study/%s' %(casename)
#datadir = '%s/analysis.getkf.80members.36procs/increment/' %(casedir)
datadir = '%s/analysis.getkf.5members.36procs/increment/' %(casedir)
datafiles = []
gridspecfiles = []
for ntile in range(1,7,1):
gridfile = '%sC48_grid.tile%s.nc' %(griddir, ntile)
gridspecfiles.append(gridfile)
datafile = '%s20200110.030000.fv_core.res.tile%s.nc' %(datadir, ntile)
datafiles.append(datafile)
rg = regridder(debug=debug, datafiles=datafiles, gridspecfiles=gridspecfiles)
nlon = 360
nlat = nlon/2 + 1
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)
if(addobs):
if(casename == 'surf'):
filename = '%s/ioda_v2_data/ioda_v2_sfc_ps_obs_2020011006.nc4' %(casedir)
else:
filename = '%s/ioda_v2_data/ioda_v2_sondes_obs_2020011006.nc4' %(casedir)
rio = ReadIODA2Obs(debug=debug, filename=filename)
olat, olon = rio.get_latlon()
#olat, olon, prs = rio.get_latlon4var(varname='/ObsValue/surface_pressure')
#olat, olon, prs = rio.get_latlon4var(varname='/ObsValue/air_pressure')
#olat, olon, prs = rio.get_latlon4var(varname='/ObsValue/air_temperature')
#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(-0.2, 0.21, 0.01)
cblevs = np.arange(-0.2, 0.3, 0.1)
pt.set_clevs(clevs=clevs)
pt.set_cblevs(cblevs=cblevs)
pt.set_precision(precision=2)
#------------------------------------------------------------------------------
#levs = [0, 1, 40, 50, 62, 63]
levs = [60, 61, 62, 63]
#levs = [30, 40, 50, 60]
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)
if(addobs):
#pt.plot(pvar, addmark=1, marker='x', size=3, color='green')
pt.plot(pvar, addmark=1, marker='x', size=1, color='green')
else:
pt.plot(pvar)
sys.exit(-1)
#------------------------------------------------------------------------------
#clevs = np.arange(-0.5, 0.51, 0.01)
#cblevs = np.arange(-0.5, 0.6, 0.1)
pt.set_clevs(clevs=clevs)
pt.set_cblevs(cblevs=cblevs)
#lons = [60, 200]
lons = [40, 105, 170, 270, 300]
#lons = [170]
for lon in lons:
pvar = var[:,:,lon]
title = '%s longitude %d' %(title_preix, lon)
pt.set_title(title)
imgname = '%s_lon_%d_logp.png' %(image_prefix, lon)
pt.set_imagename(imgname)
pt.plot_meridional_section_logp(pvar)
imgname = '%s_lon_%d_level.png' %(image_prefix, lon)
pt.set_imagename(imgname)
pt.plot_meridional_section(pvar)
#------------------------------------------------------------------------------
#lats = [50, 55]
lats = [-30, 0, 45, 70]
#lats = [-41, -23, 0, 22, 41]
for lat in lats:
pvar = var[:,90+lat,:]
title = '%s latitude %d' %(title_preix, lat)
pt.set_title(title)
imgname = '%s_lat_%d_logp.png' %(image_prefix, lat)
pt.set_imagename(imgname)
pt.plot_zonal_section_logp(pvar)
imgname = '%s_lat_%d_level.png' %(image_prefix, lat)
pt.set_imagename(imgname)
pt.plot_zonal_section(pvar)