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Conference papers

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
Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology, LJK - Laboratoire Jean Kuntzmann, Inria Grenoble - Rhône-Alpes
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
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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Submitted on : Monday, September 17, 2007 - 1:49:34 PM
Last modification on : Thursday, March 17, 2022 - 10:08:15 AM
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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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