Open BSchilperoort opened 1 month ago
Doesn't xarray-regrid expect 'latitude' and 'longitude' here? You could use cf-xarray https://cf-xarray.readthedocs.io/en/latest/quickstart.html#indexing though it'd be pretty easy to just implement lat/long matching using this attribute table: https://github.com/xarray-contrib/cf-xarray/blob/7072f70292efcc73030653209b44a367510766e0/cf_xarray/criteria.py#L43
Doesn't xarray-regrid expect 'latitude' and 'longitude' here?
Latitude and longitude are not required. It works on any rectilinear grid.
The latitude coordinate values are used in the conservative routine to correct the weights, if they're present. For the other methods this is not needed.
Yeah I think 3/4 should be flexible enough to handle all cases without imposing an extra burden on typical usage patterns. xarray already uses both exclude
and exclude_dims
in a number of places, either of those would work.
Currently when you regrid data, you only need to specify the target dataset:
And the dims common to
ds_source
andds_target
are regridded, except if a dimension is named "time". That one is dropped out. This is of course a bit arbitrary.Other ways to deal with this would be:
ds_target
object so it only includes the dimensions that they actually want to regrid (like 1. but without the input argument)To me option 4 sounds like a good compromise between the current behavior and being less arbitrary. It would also make it easier to deprecate the automagical ignoring of dimensions as users are already being warned.
This issue arose from a comment by @dcherian in https://github.com/xarray-contrib/xarray-regrid/pull/46#discussion_r1751970542_