How to get monsoon months (JJAS) in xarray while calculating seasonal mean instead of JJA?
import xarray as xr
fname='/home/krishna/SIMS/P1/*.nc'
ds=xr.open_mfdataset(fname)
temp=ds.temp
sea_temp=temp.groupby('time.season').mean(dim='time')
sea_temp.plot.imshow(col='season',robust=True)
the output shows in JJA month instead of JJAS. How can I calculate seasonal mean for JJAS (June-September)
I could resolve this issue by writing a function as follows
def is_jjas(month):
return (month >= 6) & (month <= 9)
seasonal_temp = temp.sel(time=is_jjas(temp['time.month']))
I hope this will help someone who has the same doubt doing seasonal mean for the Indian summer monsoon season (JJAS).