fldpltclimdt[skey], sh = cutl.calc_totseaicearea(fldclimdt[skey], lat, lon)
fldplttsdt[skey], sh = cutl.calc_totseaicearea(flddt[skey], lat, lon)
tstr = "SIA (millions of km^2)"
divby = np.float(1e12) # convert sea ice area to millions of km2
elif field == "sic":
# need sea ice area to calc volume
field = "sicn"
ncfield = field.upper()
conv = 1
for skey in sims:
fname = basepath + skey + subdir + skey + "_" + field + "_" + timeperdt[skey] + "_ts.nc"
flds = cnc.getNCvar(fname, ncfield, timesel=timeseldt[skey]) * conv # sea ice conc
fldplttsdt[skey], sh = cutl.calc_totseaicevol(flddt[skey], flds, lat, lon) # time series of ice vol
# climo the ice conc
fldsclimo, std = cutl.climatologize(flds)
# calc climo ice vol
fldpltclimdt[skey], sh = cutl.calc_totseaicevol(fldclimdt[skey], fldsclimo, lat, lon) # climo ice vol
field = "sic"
ncfield = field.upper()
conv = 1 / 913.0
tstr = "SIV (m^3)"
divby = 1
# these comparisions ask how good is the nudging to 2xco2 ice (in a prei climate)
fldc2xplt = fldpltclimdt["gregory_2xco2"]
fldc2xpltts = fldplttsdt["gregory_2xco2"]
if sie:
pstr='SIEnh'
plotfldc,_ = cutl.calc_seaiceextent(simcfld,lat,lon,model=None)
plotfldp,_ = cutl.calc_seaiceextent(simpfld,lat,lon,model=None)
else: # sia
pstr='SIAnh'
tlabs['sicn'] = 'SIA (millions of km$^2$)'
plotfldc,_ = cutl.calc_totseaicearea(simcfld,lat,lon,model=None)
plotfldp,_ = cutl.calc_totseaicearea(simpfld,lat,lon,model=None)
plotfld = plotfldp-plotfldc
#plotfld,_ = cutl.calc_totseaicearea(simfld,lat,lon,model=None)
elif field=='sic':
tmpc=fldcdat['sicn'][ii]
tmpp=fldpdat['sicn'][ii]
plotfldc,_ = cutl.calc_totseaicevol(simcfld*conv,tmpc,lat,lon)
plotfldp,_ = cutl.calc_totseaicevol(simpfld*conv,tmpp,lat,lon)
plotfld = plotfldp-plotfldc
#print conv
#print 'plotfldc,plotfldp' + str(plotfldc)+',' + str(plotfldp)
else:
print '@@ field ' + field + ' not recognized'
break
if ii==5:
clr='r'
print 'obs field,dat ' + field,str(plotfld)
# save obs:
obsdat[field]=plotfld
else:
clr='0.5'
