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Poster communications

Stochastic modeling of mesoscale eddies in barotropic wind-driven circulation

Long Li 1 Werner Bauer 1 Etienne Mémin 1
1 FLUMINANCE - Fluid Flow Analysis, Description and Control from Image Sequences
IRMAR - Institut de Recherche Mathématique de Rennes, Inria Rennes – Bretagne Atlantique , INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement
Abstract : We propose to follow a recent stochastic quasi-geostrophic model [4] derived from a decomposition of the flow into a resolved component and a time-uncorrelated uncertainty. One important characteristic of this random model is that it conserves the total energy along each realization. Such a stochastic principle has been tested for the numerical simulation of the wind-driven circulation in a shallow ocean basin. The numerical assement shows that the proposed random model can well capture on a coarse mesh the correct four-gyre time-averaged circulation structure, as predicted by a direct numerical simulation at a much finer resolution.
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Long Li, Werner Bauer, Etienne Mémin. Stochastic modeling of mesoscale eddies in barotropic wind-driven circulation. Workshop on Stochastic Parameterizations and Their Use in Data Assimilation, Jul 2019, London, United Kingdom. ⟨hal-02712112⟩

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