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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Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
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Cited articles

Abbaspour, K., Vejdani, M., and Haghighat, S.: SWAT-CUP calibration and uncertainty programs for SWAT, in: MODSIM 2007 International Congress on Modeling and Simulation, Modelling and Simulation Society of Australia and New Zealand, 2007.
Abdulla, F. and Al-Assa'd, T.: Modeling of groundwater flow for Mujib aquifer, Jordan, J. Earth Syst. Sci., 115, 289–297, 2006.
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Adham, A., Riksen, M., Ouessar, M., and Ritsema, C. J.: A Methodology to Assess and Evaluate Rainwater Harvesting Techniques in (Semi-) Arid Regions, Water, 8, 198, 2016.
Ageena, I., Macdonald, N., and Morse, A.: Temporal and spatial variation of maximum and climatic temperature across Libya (1945–2009), Theor. Appl. Climatol., 117, 549–563, 2014.
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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.