#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Sat May  7 11:36:44 EDT 2022
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.modelout import get_modelout_data_ens
import geoxarray
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
daname = 't_surf'
dsname = 'atmos_month'
model = 'AM2.5C360'# 'FLOR'
if model=='AM2.5C360':
    expname = 'amipHadISSTlong_chancorr_tigercpu_intelmpi_18_1080PE'
    ens = range(1,10+1)
    years = range(1871,2019+1)
elif model=='FLOR':
    expname = 'HistRCP45_tigercpu_intelmpi_18_576PE'
    ens = range(1,6)
    years = range(1860,2101)
func = lambda x: x.load().geo.fldmean()
funcname = 'glbmean'
da = get_modelout_data_ens(daname=daname, model=model, expname=expname, ens=ens, years=years, func=func, funcname=funcname, 
    dsname=dsname)

#extend years for model AM2.5C360
if model=='AM2.5C360':
    for year_extend in (2020, 2021):
        expname = f'amipHadISSTlong_chancorr_tigercpu_intelmpi_18_1080PE_extend{year_extend}'
        years = range(year_extend,year_extend+1)
        da = get_modelout_data_ens(daname=daname, model=model, expname=expname, ens=ens, years=years, func=func, funcname=funcname, 
            dsname=dsname)
    
 
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()
    plt.show()