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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Chapron Bertrand, Derian P., Memin E., Resseguier Valentin (2018). Large-scale flows under location uncertainty: a consistent stochastic framework. Quarterly Journal Of The Royal Meteorological Society. 144 (710). 251-260. https://doi.org/10.1002/qj.3198, https://archimer.ifremer.fr/doc/00429/54081/

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