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Mesoscale/submesoscale eddies
Eddy Energy CPT examining in detail source and sinks of eddy energy from high resolution simulations and observations. Working to constrain an eddy energetics scheme and backscatter.
Non-Boussinesq and Nonhydrostatic, but questions remain when and where these capabilities are needed
SUMMARY: focus on scale aware parameterization is critical and determining what advances are needed in what regions.
Advances to leverage
ML equation discovery and physics informed NN can parameterize mesoscale eddy effects. Need to think about how to couple current codes with advanced ML/AI algorithms that are not FORTRAN.
ML can expose issues with model DYCORE. For example it may expose the need for a more accurate advection scheme
Ensembles are needed to help evaluate models, can also use this capability to do some parameter optimization (simple ML) especially in coupled mode (assimilation in all components)
SUMMARY: Physics informed ML and ensembles hold promise for better understanding models and improving projections
How do we accelerate progress
Community involvement
Even though E3SM is not a community model, we need input from outside researchers.
Need to create an infrastructure that allows outside researchers to run the model without significant time and effort from E3SM staff
Need clear documentation of the model and associated workflows
For developments to come back to E3SM, clear standards of testing and design standards are necessary.
Levels of model complexity
We can’t drive to high resolution alone
Low resolution models allow for more rapid testing and development
Also can address different science questions (projections and uncertainty)
Lower complexity models allow to isolate processes and test new ideas
Work is needed to understand the minimum set of processes and feedbacks needed to understand the model.
Need reduced set of BGC for testing and to move toward examination of BGC/ocean physics coupling
SUMMARY: investment is needed to make university involvement easier. An initial upfront cost but leads to lower cost over the longer term.
Notes:
Laure Zanna: Turbulence Closures in Ocean Models
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