Stochastic data-driven parameterization of unresolved mesoscale eddies
Long Li,
Bruno Deremble,
Noé Lahaye
et al.
Abstract:In this work, a stochastic representation based on a physical transport principle is proposed to account for mesoscale eddy effects on the large-scale oceanic circulation. This stochastic framework arises from a decomposition of the Lagrangian velocity into a smooth-in-time component and a highly oscillating noise term. One important characteristic of this random model is that it conserves the total energy of the resolved flow for any realization. Such an energy-preserving representation is successfully implem… Show more
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