Articles | Volume 23, issue 10
https://doi.org/10.5194/hess-23-4011-2019
https://doi.org/10.5194/hess-23-4011-2019
Research article
 | Highlight paper
 | 
30 Sep 2019
Research article | Highlight paper |  | 30 Sep 2019

Benchmarking the predictive capability of hydrological models for river flow and flood peak predictions across over 1000 catchments in Great Britain

Rosanna A. Lane, Gemma Coxon, Jim E. Freer, Thorsten Wagener, Penny J. Johnes, John P. Bloomfield, Sheila Greene, Christopher J. A. Macleod, and Sim M. Reaney

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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: Publish subject to revisions (further review by editor and referees) (29 Apr 2019) by Elena Toth
AR by Rosanna Lane on behalf of the Authors (05 Jul 2019)  Author's response    Manuscript
ED: Publish subject to minor revisions (further review by editor) (29 Jul 2019) by Elena Toth
AR by Rosanna Lane on behalf of the Authors (08 Aug 2019)  Author's response    Manuscript
ED: Publish subject to technical corrections (23 Aug 2019) by Elena Toth
AR by Rosanna Lane on behalf of the Authors (23 Aug 2019)  Author's response    Manuscript

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Rosanna Lane on behalf of the Authors (23 Sep 2019)   Author's adjustment   Manuscript
EA: Adjustments approved (23 Sep 2019) by Elena Toth
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Short summary
We evaluated four hydrological model structures and their parameters on over 1100 catchments across Great Britain, considering modelling uncertainties. Models performed well for most catchments but failed in parts of Scotland and south-eastern England. Failures were often linked to inconsistencies in the water balance. This research shows what conceptual lumped models can achieve, gives insights into where and why these models may fail, and provides a benchmark of national modelling capability.