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Large-scale flows under location uncertainty: a consistent stochastic framework
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.
Keyword(s)
large-scale flow modelling, stochastic parametrization, modelling under location uncertainty, stochastic Lorenz model, stochastic transport
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File | Pages | Size | Access | |
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Publisher's official version | 10 | 6 Mo | ||
Author's final draft | 16 | 4 Mo |