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for regridding, we can do simple interpolation with da.interp() or da.interp_like(), and for complex ones with xesmf (e.g. regridder = xe.Regridder(ds, ds_out, "bilinear") and then ds_out = regridder(ds))
apply land/sea mask da.where(np.isnan(mask))
And more importantly, as a user, I would need a preprocessor that can deal with NaN in different ways (e.g. interpolation, mean, etc).
The text was updated successfully, but these errors were encountered:
Following the suggestions from PR #152, we need a new preprocessor to provide the following options to the user:
Hint for implementation:
da.sel(lat=slice(20, 30), lon=slice(110, 140))
da.interp()
orda.interp_like()
, and for complex ones with xesmf (e.g.regridder = xe.Regridder(ds, ds_out, "bilinear")
and thends_out = regridder(ds)
)da.where(np.isnan(mask))
And more importantly, as a user, I would need a preprocessor that can deal with
NaN
in different ways (e.g. interpolation, mean, etc).The text was updated successfully, but these errors were encountered: