Universität zu Köln

Haas, R. and Pinto, J. G. (2012). A combined statistical and dynamical approach for downscaling large-scale footprints of European windstorms. Geophys. Res. Lett., 39. WASHINGTON: AMER GEOPHYSICAL UNION. ISSN 1944-8007

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Abstract

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. Citation: Haas, R., and J. G. Pinto (2012), A combined statistical and dynamical approach for downscaling large-scale footprints of European windstorms, Geophys. Res. Lett., 39, L23804, doi:10.1029/2012GL054014.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Haas, R. UNSPECIFIED UNSPECIFIED UNSPECIFIED Pinto, J. G. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-476927
DOI:	10.1029/2012GL054014
Journal or Publication Title:	Geophys. Res. Lett.
Volume:	39
Date:	2012
Publisher:	AMER GEOPHYSICAL UNION
Place of Publication:	WASHINGTON
ISSN:	1944-8007
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language WIND-SPEED; CLIMATE Multiple languages Geosciences, Multidisciplinary Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/47692