#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Wed May 11 11:39:24 EDT 2022
# convert monthly gmst to wwa-version yearly gmst
if __name__ == '__main__':
    import sys
    from misc.timer import Timer
    tt = Timer('start ' + ' '.join(sys.argv))
import sys, os.path, os, glob, datetime
import xarray as xr, numpy as np, pandas as pd, matplotlib.pyplot as plt
#more imports
from misc.seasons import sel_season
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
season = 'DJF'
daname = 'relNino34DJF'
#ifile = '/tigress/wenchang/analysis/AM2.5C360/ens/nino34/t_surf_AM2.5C360_amipHadISSTrcp45_tigercpu_intelmpi_18_1080PE_3ens_1871-2100_nino34.nc'
ifile_nino34 = '/tigress/wenchang/analysis/FLOR/ens/nino34/t_surf_FLOR_HistRCP45_tigercpu_intelmpi_18_576PE_10ens_1860-2100_nino34.nc'
print(f'{ifile_nino34 = }')
ifile_trop = '/tigress/wenchang/analysis/FLOR/ens/oceanfldmean/t_surf_FLOR_HistRCP45_tigercpu_intelmpi_18_576PE_10ens_1860-2100_oceanfldmean.0_360_-20_20.nc'
print(f'{ifile_trop = }')
units = 'degC'
ofile = os.path.basename(ifile_nino34).replace('t_surf', 'wwa_'+daname).replace('_nino34.nc', '.nc')
print(f'{ofile = }')
if os.path.exists(ofile):
    da = xr.open_dataarray(ofile)
    print('[loaded]:', ofile)
else:
    da = xr.open_dataarray(ifile_nino34) - xr.open_dataarray(ifile_trop)
    ##usually for  SH with rainy season in DJF
    #da = da.pipe(sel_season, season).resample(time='A-FEB').mean().isel(time=slice(None, -1)) #remove the last DJF season mean value
    #da = da.resample(time='AS-FEB').mean() #set the annual time axis on Feb-01
    #usually for  NH with rainy season in JJA
    da = da.pipe(sel_season, season).resample(time='AS-DEC').mean().isel(time=slice(1, None)) #remove the last DJF season mean value
    ##anomaly from 1951-1980; units degC
    #da = da.pipe(lambda x: x - x.sel(time=slice('1951', '1980')).mean('time')) 
    da = da.assign_attrs(units=units) \
        .transpose('time', 'ens')

    print('saving...')
    encoding = {daname: {'_FillValue': None}}
    da.to_dataset(name=daname).to_netcdf(ofile, encoding=encoding)
    print('[saved]:', ofile)
 
 
if __name__ == '__main__':
    #from wyconfig import * #my plot settings
    
    #savefig
    if len(sys.argv)>1 and 'savefig' in sys.argv[1:]:
        figname = __file__.replace('.py', f'.png')
        if 'overwritefig' in sys.argv[1:]:
            wysavefig(figname, overwritefig=True)
        else:
            wysavefig(figname)
    tt.check(f'**Done**')
    print()
    if 'notshowfig' in sys.argv:
        pass
    else:
        plt.show()