You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
They make a compelling argument to use this method widely when conducting CMIP-multi-model studies, and so maybe we ought to make this easy for the user? I am still thinking of what would be a good API here, but just wanted to note this here.
The base data is a mapping of source_id to bool provided here, one could filter datasets out on the datasets_dict/datatree level or provide a general version of what I did above, where instead of filtering we add new coodinates to each datasets that contain the necessary information for screening derived products later.
The text was updated successfully, but these errors were encountered:
I just implemented the suggested screening methods of Hausfather et al. 2022 for an analysis of Sea Surface Trends in CMIP6.
They make a compelling argument to use this method widely when conducting CMIP-multi-model studies, and so maybe we ought to make this easy for the user? I am still thinking of what would be a good API here, but just wanted to note this here.
The base data is a mapping of source_id to bool provided here, one could filter datasets out on the datasets_dict/datatree level or provide a general version of what I did above, where instead of filtering we add new coodinates to each datasets that contain the necessary information for screening derived products later.
The text was updated successfully, but these errors were encountered: