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

Viewed

Total article views: 3,679 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,326 1,203 150 3,679 199 117 158
  • HTML: 2,326
  • PDF: 1,203
  • XML: 150
  • Total: 3,679
  • Supplement: 199
  • BibTeX: 117
  • EndNote: 158
Views and downloads (calculated since 01 Jun 2016)
Cumulative views and downloads (calculated since 01 Jun 2016)
Latest update: 16 Jan 2026
Download
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.
Share