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Development of a model-based high-resolution extreme surface wind climatology for Switzerland

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  • Stéphane Goyette

Abstract

An innovative methodology aimed at establishing a numerical model-based high-resolution climatology of extreme winds over Switzerland is described, that makes use of the Canadian Regional Climate Model where a new windgust parameterization has been implemented. Self-nesting procedures allow windstorms to be studied at resolution as high as 2-km. The analysis of ten major windstorms concludes that the average spatial pattern and magnitude of the simulated windspeeds are well captured, and the areas that experienced extreme winds correspond well with observations and to the location where forest damage was reported following the last two of these storms. This climatology would eventually serve to form risk assessment maps based on the exceedance of windspeed thresholds. There is, however, a need for further investigations to encompass the full range of potential extreme wind cases. The ultimate goal of this methodology is to assess the change in the behaviour of extreme winds for a climate forced by enhanced greenhouse gas concentrations, and the impact of future windstorms over the Alpine region at high resolution. Copyright Springer Science+Business Media, Inc. 2008

Suggested Citation

  • Stéphane Goyette, 2008. "Development of a model-based high-resolution extreme surface wind climatology for Switzerland," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 44(3), pages 329-339, March.
    • Handle: RePEc:spr:nathaz:v:44:y:2008:i:3:p:329-339
    DOI: 10.1007/s11069-007-9130-5
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    Cited by:

    1. Chi-Hsiang Wang & Xiaoming Wang & Yong Khoo, 2013. "Extreme wind gust hazard in Australia and its sensitivity to climate change," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 67(2), pages 549-567, June.
    2. Takvor Soukissian & Christos Tsalis, 2015. "The effect of the generalized extreme value distribution parameter estimation methods in extreme wind speed prediction," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(3), pages 1777-1809, September.

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