Open JesperDramsch opened 2 weeks ago
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
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