Stochastic Particle Method Applied to Local Wind Simulation

Antoine Rousseau; Frédéric Bernardin; Mireille Bossy; Tamara Salameh; Philippe Drobinski

Stochastic Particle Method Applied to Local Wind Simulation

Antoine Rousseau ¹ Frédéric Bernardin ² Mireille Bossy ² Tamara Salameh ³ Philippe Drobinski ³

1 MOISE - Modelling, Observations, Identification for Environmental Sciences

Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble

2 OMEGA - Probabilistic numerical methods

CRISAM - Inria Sophia Antipolis - Méditerranée , UHP - Université Henri Poincaré - Nancy 1, Université Nancy 2, CNRS - Centre National de la Recherche Scientifique : UMR7502

3 LMD - Laboratoire de Météorologie Dynamique (UMR 8539)

Abstract : A Lagrangian stochastic model is introduced in order to describe the local behavior of the wind. Based on some MM5 data, and thanks to particles driven by stochastic differential equations, we propose a numerical method allowing to improve the MM5 simulations at small scales, without requiring too much additional computational cost.

Document type :

Conference papers

Domain :

Mathematics [math] / Numerical Analysis [math.NA]

Mathematics [math] / Probability [math.PR]

Physics [physics] / Physics [physics] / Fluid Dynamics [physics.flu-dyn]

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https://hal.inria.fr/inria-00172503
Contributor : Antoine Rousseau <>
Submitted on : Monday, September 17, 2007 - 1:49:34 PM
Last modification on : Wednesday, September 11, 2019 - 11:12:06 AM
Long-term archiving on : Monday, September 24, 2012 - 12:26:30 PM

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