Data-driven equation discovery ocean model

Pavel Perezhogin is lead author of this new M²LInES preprint, describing the implementation, in the GFDL MOM6 ocean model, of a data-driven equation-discovery parameterization of mesoscale eddies. This scale-aware parametrization improved biases in the mean flow and energetics for a range of resolutions and in different ocean configurations. The work was done in collaboration with Cheng Zhang, Alistair Adcroft, Carlos Fernandez-Granda and Laure Zanna.