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This repository has been archived by the owner on Aug 29, 2023. It is now read-only.
Currently coregistration works well only if both datasets to coregister have lat/lon/time dimensions. This should not be the case, as it should be possible to bring two datasets on the same spatial lat/lon grid irrespective of how many other dimensions there are.
For example, having two datasets with such dimensions:
lat/lon/time
lat/lon/time/layer/pressure,
it should be possible to resample the second dataset to the lat/lon resolution of the first one such that it still preserves the other dimensions. E.g., instead of only 'group_by' time, but somehow other dimensions as well.
The text was updated successfully, but these errors were encountered:
forman
changed the title
Coregistration should be able to handle datasets with more dimensions that lat/lon/time
Coregistration should be able to handle datasets with more dimensions than lat/lon/time
Oct 2, 2016
Currently coregistration works well only if both datasets to coregister have lat/lon/time dimensions. This should not be the case, as it should be possible to bring two datasets on the same spatial lat/lon grid irrespective of how many other dimensions there are.
For example, having two datasets with such dimensions:
lat/lon/time
lat/lon/time/layer/pressure,
it should be possible to resample the second dataset to the lat/lon resolution of the first one such that it still preserves the other dimensions. E.g., instead of only 'group_by' time, but somehow other dimensions as well.
The text was updated successfully, but these errors were encountered: