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Currently when we train on data, we assume a constant land-sea mask for example.
This is tentatively true within a data set up then doesn't work for new data with different NaN locations.
Somehow make an inference mode, which does not rely on constant masks.
No response
ECMWF
The text was updated successfully, but these errors were encountered:
JesperDramsch
Successfully merging a pull request may close this issue.
Is your feature request related to a problem? Please describe.
Currently when we train on data, we assume a constant land-sea mask for example.
This is tentatively true within a data set up then doesn't work for new data with different NaN locations.
Describe the solution you'd like
Somehow make an inference mode, which does not rely on constant masks.
Describe alternatives you've considered
No response
Additional context
No response
Organisation
ECMWF
The text was updated successfully, but these errors were encountered: