Articles | Volume 25, issue 2
Hydrol. Earth Syst. Sci., 25, 1069–1095, 2021
https://doi.org/10.5194/hess-25-1069-2021
Hydrol. Earth Syst. Sci., 25, 1069–1095, 2021
https://doi.org/10.5194/hess-25-1069-2021

Research article 02 Mar 2021

Research article | 02 Mar 2021

Behind the scenes of streamflow model performance

Laurène J. E. Bouaziz 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 Jul 2020) by Nadav Peleg
AR by Laurène Bouaziz on behalf of the Authors (02 Oct 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (07 Oct 2020) by Nadav Peleg
RR by Uwe Ehret (16 Oct 2020)
RR by Anonymous Referee #5 (30 Oct 2020)
ED: Publish subject to revisions (further review by editor and referees) (05 Nov 2020) by Nadav Peleg
AR by Laurène Bouaziz on behalf of the Authors (17 Nov 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (17 Nov 2020) by Nadav Peleg
RR by Anonymous Referee #5 (16 Dec 2020)
ED: Publish subject to minor revisions (review by editor) (17 Dec 2020) by Nadav Peleg
AR by Laurène Bouaziz on behalf of the Authors (24 Dec 2020)  Author's response    Manuscript
ED: Publish as is (02 Jan 2021) by Nadav Peleg
AR by Laurène Bouaziz on behalf of the Authors (07 Jan 2021)  Author's response    Manuscript
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Short summary
We quantify the differences in internal states and fluxes of 12 process-based models with similar streamflow performance and assess their plausibility using remotely sensed estimates of evaporation, snow cover, soil moisture and total storage anomalies. The dissimilarities in internal process representation imply that these models cannot all simultaneously be close to reality. Therefore, we invite modelers to evaluate their models using multiple variables and to rely on multi-model studies.