Articles | Volume 22, issue 10
https://doi.org/10.5194/hess-22-5317-2018
https://doi.org/10.5194/hess-22-5317-2018
Research article
 | 
16 Oct 2018
Research article |  | 16 Oct 2018

Using a multi-hypothesis framework to improve the understanding of flow dynamics during flash floods

Audrey Douinot, Hélène Roux, Pierre-André Garambois, and Denis Dartus

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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 revisions (further review by editor and referees) (09 Apr 2018) by Markus Hrachowitz
AR by Hélène Roux on behalf of the Authors (20 Jun 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (22 Jun 2018) by Markus Hrachowitz
RR by Anonymous Referee #2 (24 Jul 2018)
ED: Publish subject to minor revisions (review by editor) (27 Aug 2018) by Markus Hrachowitz
AR by Anna Wenzel on behalf of the Authors (18 Sep 2018)  Author's response
ED: Publish as is (18 Sep 2018) by Markus Hrachowitz
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Short summary
The distributed, process-oriented model, MARINE, was used to test several hypotheses of flow dynamics in soils during flash flood events in the Mediterranean area. Results show that the most realistic hypothesis for each catchment is consistent with existing in situ observations and measurements. The study also highlights the potential of distributed modelling and spatial observations in hydrology, especially in dealing with equifinality issues.