A Stochastic Approach for Parameterizing Unresolved Scales in a System with Memory

Details A Stochastic Approach for Parameterizing Unresolved Scales in a System with Memory A Stochastic Approach for Parameterizing Unresolved Scales in a System with Memory

2009-01-21

arxiv.org/abs/0901.3312v1

Mathematics

Numerical Analysis

Journal of Algorithms & Computational Technology, 2009 (to appear). 12 pages, 6 figures

Scientific paper

Complex systems display variability over a broad range of spatial and temporal scales. Some scales are unresolved due to computational limitations. The impact of these unresolved scales on the resolved scales needs to be parameterized or taken into account. One stochastic parameterization scheme is devised to take the effects of unresolved scales into account, in the context of solving a nonlinear partial differential equation with memory (a time-integral term), via large eddy simulations. The obtained large eddy simulation model is a stochastic partial differential equation. Numerical experiments are performed to compare the solutions of the original system and of the stochastic large eddy simulation model.

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