Articles | Volume 22, issue 8
https://doi.org/10.5194/hess-22-4425-2018
https://doi.org/10.5194/hess-22-4425-2018
Research article
 | 
22 Aug 2018
Research article |  | 22 Aug 2018

How can expert knowledge increase the realism of conceptual hydrological models? A case study based on the concept of dominant runoff process in the Swiss Pre-Alps

Manuel Antonetti and Massimiliano Zappa

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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) (15 Sep 2017) by Roger Moussa
AR by Manuel Antonetti on behalf of the Authors (08 Feb 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (16 Feb 2018) by Roger Moussa
RR by Anonymous Referee #3 (26 Mar 2018)
RR by Anonymous Referee #1 (22 Apr 2018)
ED: Publish subject to minor revisions (review by editor) (17 May 2018) by Roger Moussa
AR by Manuel Antonetti on behalf of the Authors (31 May 2018)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (21 Jun 2018) by Roger Moussa
AR by Manuel Antonetti on behalf of the Authors (26 Jun 2018)  Author's response    Manuscript
ED: Publish as is (17 Jul 2018) by Roger Moussa
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Short summary
We developed 60 modelling chain combinations based on either experimentalists' (bottom-up) or modellers' (top-down) thinking and forced them with data of increasing accuracy. Results showed that the differences in performance arising from the forcing data were due to compensation effects. We also found that modellers' and experimentalists' concept of model realism differs, and the level of detail a model should have to reproduce the processes expected must be agreed in advance.