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Provedor de dados:  ArchiMer
País:  France
Título:  Large-scale flows under location uncertainty: a consistent stochastic framework
Autores:  Chapron, Bertrand
Derian, P.
Memin, E.
Resseguier, Valentin
Data:  2018-01
Ano:  2018
Palavras-chave:  Large-scale flow modelling
Stochastic parametrization
Modelling under location uncertainty
Stochastic Lorenz model
Stochastic transport
Resumo:  Using a classical example, the Lorenz-63 model, an original stochastic framework is applied to represent large-scale geophysical flow dynamics. Rigorously derived from a reformulated material derivative, the proposed framework encompasses several meaningful mechanisms to model geophysical flows. The slightly compressible set-up, as treated in the Boussinesq approximation, yields a stochastic transport equation for the density and other related thermodynamical variables. Coupled to the momentum equation through a forcing term, the resulting stochastic Lorenz-63 model is derived consistently. Based on such a reformulated model, the pertinence of this large-scale stochastic approach is demonstrated over classical eddy-viscosity based large-scale representations.
Tipo:  Text
Idioma:  Inglês

Editor:  Wiley
Formato:  application/pdf
Fonte:  Quarterly Journal Of The Royal Meteorological Society (0035-9009) (Wiley), 2018-01 , Vol. 144 , N. 710 , P. 251-260
Direitos:  2017 Royal Meteorological Society


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