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For reference, the reason I removed MAOOAM from DAPPER back in the day (here's the backup branch) was because I had yet to see any interesting DA experiments done with it. And at the time there was no way to output the fluid field plots, so all you got was time series. And the time series it produced either looked like white noise or just a constant; I guess that could just be me looking at it from an intermediate time scale (neither that of the atmosphere nor the ocean), but it made me question the predictability of it; seemed to me like unsophisticated/baseline DA methods would do as well as was possible.
As can be seen above, I'd still be interested in seeing experiments with it or qgs. It might be that @brajard has done something, but I'm not sure if he used DAPPER because he wanted different frequencies of ocean/atmos observations, meaning that the obs vector would vary in size, something that is not explicitly supported in DAPPER (though it can be somewhat "faked" using null padding)
This looks pretty good
https://github.com/pyqg/pyqg
See examples:
https://pyqg.readthedocs.io/en/latest/examples.html
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