Articles | Volume 20, issue 10
https://doi.org/10.5194/hess-20-4391-2016
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, Jonathan Bridge, and Neil Macdonald

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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.