Combining data assimilation and machine learning to infer unresolved scale parametrisation

Julien Brajard, Alberto Carrassi, Marc Bocquet +1

In recent years, machine learning (ML) has been proposed to devise data-driven parametrisations of unresolved processes in dynamical numerical models. In most cases, the ML trainin…