Hybrid physics-data-driven modeling for sea ice thermodynamics and transfer learning

Giovanni De Cillis, Alberto Carrassi, Julien Brajard +5

This study explores a physics-data driven hybrid approach for sea-ice column physics models, in which a machine learning (ML) component acts as a state-dependent parameterization o…