add mmm in nc

0PreProc/AddData.py

@@ -0,0 +1,42 @@
+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("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")