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.
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Antoine Rousseau, Frédéric Bernardin, Mireille Bossy, Tamara Salameh, Philippe Drobinski. Stochastic Particle Method Applied to Local Wind Simulation. ICCEP '07 - International Conference for Clean Electrical Power, May 2007, Capri, Italy. pp.526-528, ⟨10.1109/ICCEP.2007.384265⟩. ⟨inria-00172503⟩

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