Articles | Volume 22, issue 8
Hydrol. Earth Syst. Sci., 22, 4565–4581, 2018
https://doi.org/10.5194/hess-22-4565-2018
Hydrol. Earth Syst. Sci., 22, 4565–4581, 2018
https://doi.org/10.5194/hess-22-4565-2018

Research article 29 Aug 2018

Research article | 29 Aug 2018

Incremental model breakdown to assess the multi-hypotheses problem

Florian U. Jehn et al.

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Interactive discussion

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) (23 Mar 2018) by Albrecht Weerts
AR by Florian Ulrich Jehn on behalf of the Authors (24 Apr 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (21 May 2018) by Albrecht Weerts
RR by Anonymous Referee #3 (12 Jun 2018)
RR by Lieke Melsen (15 Jun 2018)
ED: Publish subject to minor revisions (review by editor) (25 Jun 2018) by Albrecht Weerts
AR by Florian Ulrich Jehn on behalf of the Authors (04 Jul 2018)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (07 Aug 2018) by Albrecht Weerts
AR by Florian Ulrich Jehn on behalf of the Authors (07 Aug 2018)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (10 Aug 2018) by Albrecht Weerts
AR by Florian Ulrich Jehn on behalf of the Authors (13 Aug 2018)  Author's response    Manuscript
ED: Publish as is (14 Aug 2018) by Albrecht Weerts
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Short summary
By realizing that hydrological models are not one single hypothesis, but an assemblage of many hypotheses, new ways to scrutinize hydrological models are needed. Up until now, studies concentrate on comparing existing models or built models incrementally. This approach here tries to tackle the problem the other way around. We construct a complex model, containing all processes important for the catchment, and deconstruct it step by step to understand the influence of single processes.