#!/usr/bin/env python
# Wenchang Yang (wenchang@princeton.edu)
# Thu Jul 13 10:53:54 EDT 2023
if __name__ == '__main__':
    import sys,os
    from misc.timer import Timer
    tt = Timer(f'[{os.getcwd()}] 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
wython = '/tigress/wenchang/wython'
if wython not in sys.path: sys.path.append(wython); print('added to python path:', wython)
#from misc import get_kws_from_argv
from misc.landmask import whereocean
#
if __name__ == '__main__':
    tt.check('end import')
#
#start from here
da = xr.open_dataarray('t_surf_AM2.1_amipLMR2019SST0850_ens_tigercpu_intelmpi_18_30PE_ens01_1551-1650_JJAmean.nc')
#da1 = xr.open_dataarray('t_surf_AM2.1_amipLMR2019SST1551_ens_tigercpu_intelmpi_18_30PE_ens01_1551-1650_JJAmean.nc')
da = da.groupby('time.year').mean('time').mean('ens')
daa = da - da.mean('year')
daa_model = daa

ifile = '/tigress/gvecchi/DATA/LMR_2018/sst_MCruns_ensemble_mean.nc'
ds = xr.open_dataset(ifile)
da = ds.sst.sel(time=slice('1551', '1650')).mean('MCrun')
da = da.groupby('time.year').mean('time')
daa = da - da.mean('year')
daa_lmr2018 = daa

ifile = '/tigress/gvecchi/DATA/LMR_2019/sst_MCruns_ensemble_mean.nc'
ds = xr.open_dataset(ifile)
da = ds.sst.sel(time=slice('1551', '1650')).mean('MCrun')
da = da.groupby('time.year').mean('time')
daa = da - da.mean('year')
daa_lmr2019 = daa

ifile = '/tigress/wenchang/data/LMR/v2.1/sst_MCruns_ensemble_mean_LMRv2.1.nc'
ds = xr.open_dataset(ifile)
da = ds.sst.sel(time=slice('1551', '1650')).mean('MCrun')
da = da.groupby('time.year').mean('time')
daa = da - da.mean('year')
daa_lmr2p1 = daa

if __name__ == '__main__':
    from wyconfig import * #my plot settings
    from geoplots import mapplot
    yearspan = slice(1625, 1644)
    latspan = slice(-50,50)
    levels = np.arange(-0.18,0.19,0.02)
    fig,ax = plt.subplots()
    daa = daa_model
    daa.sel(year=yearspan).mean('year').pipe(whereocean).sel(lat=latspan).assign_attrs(units='K').plot.contourf(levels=levels, extend='both')
    mapplot(fill_continents=True)
    ax.set_title(f'AM2.1 t_surf anom over {yearspan.start}-{yearspan.stop} from 1551-1650') 
    ax.set_xlabel('')
    ax.set_ylabel('')

    fig,ax = plt.subplots()
    daa = daa_lmr2018
    daa.sel(year=slice(1625, 1644)).mean('year').sel(lat=latspan).assign_attrs(units='K').plot.contourf(levels=levels, extend='both')
    mapplot(fill_continents=True)
    ax.set_title(f'LMR2018 SST anom over {yearspan.start}-{yearspan.stop} from 1551-1650')
    ax.set_xlabel('')
    ax.set_ylabel('')

    #savefig
    if 'savefig' in sys.argv or 's' in sys.argv:
        figname = __file__.replace('.py', f'__LMR2018SSTA{yearspan.start}-{yearspan.stop}.png')
        if 'overwritefig' in sys.argv or 'o' in sys.argv:
            wysavefig(figname, overwritefig=True)
        else:
            wysavefig(figname)

    fig,ax = plt.subplots()
    daa = daa_lmr2p1
    daa.sel(year=slice(1625, 1644)).mean('year').sel(lat=latspan).assign_attrs(units='K').plot.contourf(levels=levels, extend='both')
    mapplot(fill_continents=True)
    ax.set_title(f'LMR2.1 SST anom over {yearspan.start}-{yearspan.stop} from 1551-1650')
    ax.set_xlabel('')
    ax.set_ylabel('')

    fig,ax = plt.subplots()
    daa = daa_lmr2019
    daa.sel(year=slice(1625, 1644)).mean('year').sel(lat=latspan).assign_attrs(units='K').plot.contourf(levels=levels, extend='both')
    mapplot(fill_continents=True)
    ax.set_title(f'LMR2019 SST anom over {yearspan.start}-{yearspan.stop} from 1551-1650')
    ax.set_xlabel('')
    ax.set_ylabel('')
    
    #savefig
    if 'savefig' in sys.argv or 's' in sys.argv:
        figname = __file__.replace('.py', f'__LMR2019SSTA{yearspan.start}-{yearspan.stop}.png')
        if 'overwritefig' in sys.argv or 'o' in sys.argv:
            wysavefig(figname, overwritefig=True)
        else:
            wysavefig(figname)
    tt.check(f'**Done**')
    print()
    if 'notshowfig' in sys.argv or 'n' in sys.argv:
        pass
    else:
        if 'plt' in globals(): plt.show()