Articles | Volume 23, issue 3
https://doi.org/10.5194/hess-23-1305-2019
https://doi.org/10.5194/hess-23-1305-2019
Research article
 | 
07 Mar 2019
Research article |  | 07 Mar 2019

Climate influences on flood probabilities across Europe

Eva Steirou, Lars Gerlitz, Heiko Apel, Xun Sun, and Bruno Merz

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Cited articles

Akaike, H.: New look at statistical-model identification, IEEE T. Automat. Contr., 19, 716–723, 1974. 
Ando, T.: Predictive bayesian model selection, Am. J. Math.-S., 1–2, 13–38, 2011. 
Barnston, A. G. and Livezey, R. E.: Classification, seasonality and persistence of low-frequency atmospheric circulation patterns, Mon. Weather Rev., 115, 1083–1126, 1987. 
Bartolini, E., Claps, P., and D'Odorico, P.: Connecting European snow cover variability with large scale atmospheric patterns, Adv. Geosci., 26, 93–97, https://doi.org/10.5194/adgeo-26-93-2010, 2010. 
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We investigate whether flood probabilities in Europe vary for different large-scale atmospheric circulation conditions. Maximum seasonal river flows from 600 gauges in Europe and five synchronous atmospheric circulation indices are analyzed. We find that a high percentage of stations is influenced by at least one of the climate indices, especially during winter. These results can be useful for preparedness and damage planning by (re-)insurance companies.