Local wind simulation using a stochastic particle method

Frédéric Bernardin 1 Mireille Bossy 2 Antoine Rousseau 3 Tamara Salameh 4 Philippe Drobinski 4
2 TOSCA
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, INPG - Institut National Polytechnique de Grenoble
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.
Type de document :
Communication dans un congrès
SciCADE 2007 - International conference on scientific computation and differential equations, Jul 2007, Saint-Malo, France. 2007
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https://hal.inria.fr/inria-00393030
Contributeur : Antoine Rousseau <>
Soumis le : mardi 9 juin 2009 - 13:13:51
Dernière modification le : mercredi 25 avril 2018 - 10:45:00

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  • HAL Id : inria-00393030, version 1

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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. 2007. 〈inria-00393030〉

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