Articles | Volume 20, issue 6
Nat. Hazards Earth Syst. Sci., 20, 1689–1703, 2020
https://doi.org/10.5194/nhess-20-1689-2020
Nat. Hazards Earth Syst. Sci., 20, 1689–1703, 2020
https://doi.org/10.5194/nhess-20-1689-2020

Research article 08 Jun 2020

Research article | 08 Jun 2020

Event generation for probabilistic flood risk modelling: multi-site peak flow dependence model vs. weather-generator-based approach

Benjamin Winter et al.

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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (05 Apr 2020) by Margreth Keiler
AR by Benjamin Winter on behalf of the Authors (14 Apr 2020)  Author's response    Manuscript
ED: Publish as is (03 May 2020) by Margreth Keiler
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Short summary
In this paper two different methods to generate spatially coherent flood events for probabilistic flood risk modelling are compared: on the one hand, a semi-conditional multi-variate dependence model applied to discharge observations and, on the other hand, a continuous hydrological modelling of synthetic meteorological fields generated by a multi-site weather generator. The results of the two approaches are compared in terms of simulated spatial patterns and overall flood risk estimates.
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