Résumé
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.