Articles | Volume 20, issue 12
Nat. Hazards Earth Syst. Sci., 20, 3261–3277, 2020
https://doi.org/10.5194/nhess-20-3261-2020

Special issue: Advances in computational modelling of natural hazards and...

Nat. Hazards Earth Syst. Sci., 20, 3261–3277, 2020
https://doi.org/10.5194/nhess-20-3261-2020

Research article 03 Dec 2020

Research article | 03 Dec 2020

Forecasting flood hazards in real time: a surrogate model for hydrometeorological events in an Andean watershed

María Teresa Contreras et al.

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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: Publish subject to minor revisions (review by editor) (17 May 2020) by Albert J. Kettner
ED: Reconsider after major revisions (further review by editor and referees) (17 May 2020) by Albert J. Kettner
AR by Cristian Escauriaza on behalf of the Authors (26 Jun 2020)  Author's response
ED: Reconsider after major revisions (further review by editor and referees) (14 Jul 2020) by Albert J. Kettner
ED: Referee Nomination & Report Request started (27 Aug 2020) by Albert J. Kettner
RR by Anonymous Referee #2 (03 Sep 2020)
RR by Anonymous Referee #1 (11 Sep 2020)
ED: Publish subject to minor revisions (review by editor) (22 Sep 2020) by Albert J. Kettner
AR by Svenja Lange on behalf of the Authors (07 Oct 2020)  Author's response
ED: Publish as is (18 Oct 2020) by Albert J. Kettner
Short summary
The prediction of multiple scenarios of flood hazard in mountain regions is typically based on expensive high-resolution models that simulate the flood propagation using significant computational resources. In this investigation we develop a surrogate model that provides a rapid evaluation of the flood hazard using a statistical approach and precomputed scenarios. This surrogate model is an advanced tool that can be used for early warning systems and to help decision makers and city planners.
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