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Local wind simulation using a stochastic particle method

Frédéric Bernardin 1 Mireille Bossy 2 Antoine Rousseau 3 Tamara Salameh 4 Philippe Drobinski 4 
INRIA Lorraine, CRISAM - Inria Sophia Antipolis - Méditerranée , UHP - Université Henri Poincaré - Nancy 1, Université Nancy 2, INPL - Institut National Polytechnique de Lorraine, CNRS - Centre National de la Recherche Scientifique : UMR7502
3 MOISE - Modelling, Observations, Identification for Environmental Sciences
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
Abstract : A Lagrangian stochastic model is introduced in order to describe the local behavior of the wind. Based on some data given by a large scales meteorological model (MM5), 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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Contributor : Antoine Rousseau Connect in order to contact the contributor
Submitted on : Tuesday, June 9, 2009 - 1:13:51 PM
Last modification on : Thursday, March 17, 2022 - 10:08:15 AM


  • HAL Id : inria-00393030, version 1


Frédéric Bernardin, Mireille Bossy, Antoine Rousseau, Tamara Salameh, Philippe Drobinski. Local wind simulation using a stochastic particle method. SciCADE 2007 - International conference on scientific computation and differential equations, Jul 2007, Saint-Malo, France. ⟨inria-00393030⟩



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