Articles | Volume 20, issue 10
Hydrol. Earth Syst. Sci., 20, 4391–4407, 2016
https://doi.org/10.5194/hess-20-4391-2016
Hydrol. Earth Syst. Sci., 20, 4391–4407, 2016
https://doi.org/10.5194/hess-20-4391-2016

Research article 28 Oct 2016

Research article | 28 Oct 2016

A pre-calibration approach to select optimum inputs for hydrological models in data-scarce regions

Esraa Tarawneh et al.

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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: Reconsider after major revisions (11 Aug 2016) by Elena Toth
AR by Esraa Tarawneh on behalf of the Authors (30 Aug 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (01 Sep 2016) by Elena Toth
RR by Anonymous Referee #2 (28 Sep 2016)
ED: Publish subject to minor revisions (Editor review) (30 Sep 2016) by Elena Toth
AR by Esraa Tarawneh on behalf of the Authors (05 Oct 2016)  Author's response    Manuscript
ED: Publish as is (07 Oct 2016) by Elena Toth
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Short summary
The study presents a rapid, robust and reproducible approach to select optimum inputs for hydrological models. We show significant variation in pre-calibrated model performance due to the choice of different combinations of land-use, soil and weather datasets, particularly in data-scarce regions most in need of computationally-efficient approaches to optimise reliability of models and support decision-making. Our case study is directly relevant to planners and decision-makers in Wala, Jordan.