TotBPPImageTeselaMapVideo/0PreProc/AddData.py

43 lines
1.2 KiB
Python

import xarray as xr
import glob
import numpy as np
def AddMMM(file="DHW_ssp245_BCC-CSM2-MR_DHW.nc",directoryData="in",directorySal="Sal"):
nc1 = xr.open_dataset("Corr_ALL_mmm.nc",decode_times=False,decode_timedelta=False)
nc2 = xr.open_dataset(directoryData+"/"+file,decode_times=False,decode_timedelta=False)
MapType=0
if file.count("BCC-CSM2-MR")>0:
MapType=0
if file.count("CanESM5")>0:
MapType=1
if file.count("CESM2")>0:
MapType=2
if file.count("EC-Earth3")>0:
MapType=3
if file.count("IPSL-CM6A-LR")>0:
MapType=4
if file.count("MIROC6")>0:
MapType=5
if file.count("MRI-ESM2-0")>0:
MapType=6
if file.count("NorESM2-MM")>0:
MapType=7
if file.count("Ensemble5")>0:
MapType=8
if file.count("Ensemble8")>0:
MapType=9
print(MapType)
ALL_mmm = 1 * np.ones((nc2.dims['lat'], nc2.dims['lon'])) * nc1.ALL_mmm.isel(time=MapType)
nc2["MMM"]=ALL_mmm
nc2.MMM.attrs={"long_name" : "monthly mean sea surface temperature climatology",
"standard_name" : "sea_surface_temperature",
"units":"degrees_Celsius"}
nc2.to_netcdf(path=directorySal+"/"+file)
for i in glob.glob("in/*"):
A=i.split("/")[-1]
SalidaDir="Sal"
print(A,i)
AddMMM(file=A,directoryData="in",directorySal="Sal")