Articles | Volume 19, issue 1
https://doi.org/10.5194/nhess-19-1-2019
https://doi.org/10.5194/nhess-19-1-2019
Research article
 | 
04 Jan 2019
Research article |  | 04 Jan 2019

A stochastic event-based approach for flood estimation in catchments with mixed rainfall and snowmelt flood regimes

Valeriya Filipova, Deborah Lawrence, and Thomas Skaugen

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (22 Aug 2018) by Bruno Merz
AR by Valeriya Filipova on behalf of the Authors (16 Oct 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (27 Oct 2018) by Bruno Merz
RR by Anonymous Referee #2 (13 Nov 2018)
RR by Anonymous Referee #1 (19 Nov 2018)
ED: Publish subject to minor revisions (review by editor) (22 Nov 2018) by Bruno Merz
AR by Valeriya Filipova on behalf of the Authors (01 Dec 2018)  Author's response   Manuscript 
ED: Publish as is (06 Dec 2018) by Bruno Merz
AR by Valeriya Filipova on behalf of the Authors (07 Dec 2018)  Manuscript 
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Short summary
This paper presents a stochastic event-based method for analysis of extreme floods, which uses a Monte Carlo procedure to sample initial conditions, snowmelt and rainfall. A study of 20 catchments in Norway shows that this method gives flood estimates that are closer to those obtained using statistical flood frequency analysis than a deterministic event-based model based on a single design storm.
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