Stochastic downscaling method: application to wind refinement |
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| Authors: | Frédéric Bernardin Mireille Bossy Claire Chauvin Philippe Drobinski Antoine Rousseau Tamara Salameh |
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| Institution: | (1) CETE de Lyon, Laboratoire Régional des Ponts et Chaussées, Clermont-Ferrand, France;(2) Tosca, INRIA, Sophia Antipolis, France;(3) Moise, INRIA, Grenoble, France;(4) CNRS, Laboratoire de Météorologie Dynamique, Palaiseau, France |
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| Abstract: | In this article, we propose a new stochastic downscaling method: provided a numerical prediction of wind at large scale, we
aim to improve the approximation at small scales thanks to a local stochastic model. We first recall the framework of a Lagrangian
stochastic model borrowed from Pope. Then, we adapt it to our meteorological framework, both from the theoretical and numerical
viewpoints. Finally, we present some promising numerical results corresponding to the simulation of wind over the Mediterranean
Sea. |
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| Keywords: | Stochastic differential equations Downscaling method Wind simulation |
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