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首页> 外文期刊>Quarterly Journal of the Royal Meteorological Society >Large-scale flows under location uncertainty: a consistent stochastic framework
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Large-scale flows under location uncertainty: a consistent stochastic framework

机译:在位置不确定性下的大规模流动:一致的随机框架

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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.
机译:使用经典示例,Lorenz-63模型,原始随机框架应用于表示大规模地球物理流动动态。 严格地衍生自重新制定的材料衍生物,所提出的框架包括模拟地球物理流动的几种有意义的机制。 在Boussinesq近似下处理的略微可压缩设置产生了密度和其他相关热力学变量的随机传输方程。 通过强制术语耦合到动量方程,得到的随机LORENZ-63模型始终如一。 基于这种重新制定的模型,在基于古典涡粘度的大规模表示中证明了这种大规模随机方法的不属于。

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