Articles | Volume 20, issue 6
https://doi.org/10.5194/nhess-20-1689-2020
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, Klaus Schneeberger, Kristian Förster, and Sergiy Vorogushyn

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

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
AR by Benjamin Winter on behalf of the Authors (06 May 2020)
Download
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.
Altmetrics
Final-revised paper
Preprint