[MITgcm-devel] ML for ML
Jean-Michel Campin
jmc at mit.edu
Tue Apr 26 16:04:36 EDT 2022
Hi Matt,
I think pkg/mypackage is a good place to start (some tendency terms, some state vars ?
plus loading parameters from file) and then refine it to make it to work.
But as it get more "mature" you may want to have a proper new package for this
so that you could add it to the main repos (whereas mypackage in the main repos
will always remain like an empty shell).
I think I started this way with with the gray-atmosphere physics (pkg/atm_phys).
But I don't know if this really answer your question.
Cheers,
Jean-Michel
On Mon, Apr 25, 2022 at 08:58:04PM -0700, Matthew Mazloff wrote:
> Hi Jean-Michel et al.,
>
> We at SIO are aiming to use a neural net and https://github.com/scientific-computing/FKB <https://github.com/scientific-computing/FKB> for a mixed layer parameterization in the MITgcm. Does it make sense to put this in ???mypackage??? with tendency applied in
> https://github.com/MITgcm/MITgcm/blob/master/pkg/mypackage/mypackage_tendency_apply.F <https://github.com/MITgcm/MITgcm/blob/master/pkg/mypackage/mypackage_tendency_apply.F>
>
> Let me know if there is a better place,
> Thanks!
> Matt
>
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