Articles | Volume 15, issue 4
https://doi.org/10.5194/nhess-15-769-2015
https://doi.org/10.5194/nhess-15-769-2015
Research article
 | 
09 Apr 2015
Research article |  | 09 Apr 2015

Comparison of storm damage functions and their performance

B. F. Prahl, D. Rybski, O. Burghoff, and J. P. Kropp

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Cited articles

Bernaola-Galván, P., Oliver, J., Hackenberg, M., Coronado, A., Ivanov, P., and Carpena, P.: Segmentation of time series with long-range fractal correlations, Eur. Phys. J. B, 85, 1–12, https://doi.org/10.1140/epjb/e2012-20969-5, 2012.
Bouwer, L. M. and Wouter Botzen, W. J.: How sensitive are US hurricane damages to climate? Comment on a paper by W. D. Nordhaus, Clim. Change Econ., 02, 1–7, https://doi.org/10.1142/S2010007811000188, 2011.
Box, G. E. and Cox, D. R.: An analysis of transformations, J. Roy. Stat. Soc. B, 26, 211–252, 1964.
Cusack, S.: A 101 year record of windstorms in the Netherlands, Climatic Change, 116, 693–704, https://doi.org/10.1007/s10584-012-0527-0, 2013.
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Winter storms are the most costly natural hazard for European residential property. Their costs can be assessed via damage functions relating storm intensity to loss. However, the heavy-tailed loss distribution and the high uncertainty pose difficulties for their application. We address these difficulties by comparing four empirical damage functions and providing model recommendations. In a broader context, we discuss the shape of the damage functions in the light of theoretical considerations.
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