Large-scale flows under location uncertainty: a consistent stochastic framework

被引:30
|
作者
Chapron, B. [1 ]
Derian, P. [2 ]
Memin, E. [2 ]
Resseguier, V. [1 ,2 ]
机构
[1] IFREMER, LOPS, Plouzane, France
[2] INRIA, IRMAR, Campus Univ Beaulieu, Rennes, France
关键词
large-scale flow modelling; stochastic parametrization; modelling under location uncertainty; stochastic Lorenz model; stochastic transport; GEOPHYSICAL FLOWS; TURBULENCE; TRANSPORT; DYNAMICS; MODELS;
D O I
10.1002/qj.3198
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
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.
引用
收藏
页码:251 / 260
页数:10
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