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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This work was partially supported by ADEME.
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Bernardin, F., Bossy, M., Chauvin, C. et al. Stochastic downscaling method: application to wind refinement. Stoch Environ Res Risk Assess 23, 851–859 (2009). https://doi.org/10.1007/s00477-008-0276-9
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DOI: https://doi.org/10.1007/s00477-008-0276-9