Articles | Volume 22, issue 2
https://doi.org/10.5194/nhess-22-677-2022
https://doi.org/10.5194/nhess-22-677-2022
Research article
 | 
03 Mar 2022
Research article |  | 03 Mar 2022

Adaptation and application of the large LAERTES-EU regional climate model ensemble for modeling hydrological extremes: a pilot study for the Rhine basin

Florian Ehmele, Lisa-Ann Kautz, Hendrik Feldmann, Yi He, Martin Kadlec, Fanni D. Kelemen, Hilke S. Lentink, Patrick Ludwig, Desmond Manful, and Joaquim G. Pinto

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Cited articles

Alfieri, L., Dottori, F., Betts, R., Salamon, P., and Feyen, L.: Multi-model projections of river flood risk in Europe under global warming, Climate, 6, 1–19, https://doi.org/10.3390/cli6010006, 2018. a
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Beck, H. E., van Dijk, A. I., De Roo, A., Miralles, D. G., McVicar, T. R., Schellekens, J., and Bruijnzeel, L. A.: Global-scale regionalization of hydrologic model parameters, Water Resour. Res., 52, 3599–3622, https://doi.org/10.1002/2015WR018247, 2016. a
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For various applications, it is crucial to have profound knowledge of the frequency, severity, and risk of extreme flood events. Such events are characterized by very long return periods which observations can not cover. We use a large ensemble of regional climate model simulations as input for a hydrological model. Precipitation data were post-processed to reduce systematic errors. The representation of precipitation and discharge is improved, and estimates of long return periods become robust.
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