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A combined statistical and dynamical approach for downscaling large-scale footprints of European windstorms

Haas, R. and Pinto, J. G. (2012) A combined statistical and dynamical approach for downscaling large-scale footprints of European windstorms. Geophysical Research Letters, 39 (23). L23804. ISSN 0094-8276

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To link to this item DOI: 10.1029/2012GL054014


The occurrence of mid-latitude windstorms is related to strong socio-economic effects. For detailed and reliable regional impact studies, large datasets of high-resolution wind fields are required. In this study, a statistical downscaling approach in combination with dynamical downscaling is introduced to derive storm related gust speeds on a high-resolution grid over Europe. Multiple linear regression models are trained using reanalysis data and wind gusts from regional climate model simulations for a sample of 100 top ranking windstorm events. The method is computationally inexpensive and reproduces individual windstorm footprints adequately. Compared to observations, the results for Germany are at least as good as pure dynamical downscaling. This new tool can be easily applied to large ensembles of general circulation model simulations and thus contribute to a better understanding of the regional impact of windstorms based on decadal and climate change projections.

Item Type:Article
Divisions:No Reading authors. Back catalogue items
Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:32740
Uncontrolled Keywords:COSMO-CLM; extra-tropical cyclones; extremes; statistical downscaling; wind gusts; windstorms
Publisher:American Geophysical Union


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