Articles | Volume 20, issue 10
Hydrol. Earth Syst. Sci., 20, 4391–4407, 2016
https://doi.org/10.5194/hess-20-4391-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 20, 4391–4407, 2016
https://doi.org/10.5194/hess-20-4391-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
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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Cited
9 citations as recorded by crossref.
- Surface Runoff and Drought Assessment Using Global Water Resources Datasets - from Oum Er Rbia Basin to the Moroccan Country Scale S. Strohmeier et al. 10.1007/s11269-019-02251-6
- Comparison of hydrological models for the assessment of water resources in a data-scarce region, the Upper Blue Nile River Basin G. Tegegne et al. 10.1016/j.ejrh.2017.10.002
- Assessing the performance of a physically based hydrological model using a proxy‐catchment approach in an agricultural environment V. Escobar‐Ruiz et al. 10.1002/hyp.13550
- Different calibration procedures for flows estimation using SWAT model L. Moreira et al. 10.1080/23249676.2020.1787246
- Designing river water quality policy interventions with scarce data: the case of the Middle Tagus Basin, Spain A. Bolinches et al. 10.1080/02626667.2019.1708915
- Impact of Climate Change on Water Balance Components and Droughts in the Guajoyo River Basin (El Salvador) P. Blanco-Gómez et al. 10.3390/w11112360
- Modeling arid/semi-arid irrigated agricultural watersheds with SWAT: Applications, challenges, and solution strategies M. Samimi et al. 10.1016/j.jhydrol.2020.125418
- Integrating Satellite Rainfall Estimates with Hydrological Water Balance Model: Rainfall-Runoff Modeling in Awash River Basin, Ethiopia G. Adane et al. 10.3390/w13060800
- Event-based nonpoint source pollution prediction in a scarce data catchment L. Chen et al. 10.1016/j.jhydrol.2017.06.034
8 citations as recorded by crossref.
- Surface Runoff and Drought Assessment Using Global Water Resources Datasets - from Oum Er Rbia Basin to the Moroccan Country Scale S. Strohmeier et al. 10.1007/s11269-019-02251-6
- Comparison of hydrological models for the assessment of water resources in a data-scarce region, the Upper Blue Nile River Basin G. Tegegne et al. 10.1016/j.ejrh.2017.10.002
- Assessing the performance of a physically based hydrological model using a proxy‐catchment approach in an agricultural environment V. Escobar‐Ruiz et al. 10.1002/hyp.13550
- Different calibration procedures for flows estimation using SWAT model L. Moreira et al. 10.1080/23249676.2020.1787246
- Designing river water quality policy interventions with scarce data: the case of the Middle Tagus Basin, Spain A. Bolinches et al. 10.1080/02626667.2019.1708915
- Impact of Climate Change on Water Balance Components and Droughts in the Guajoyo River Basin (El Salvador) P. Blanco-Gómez et al. 10.3390/w11112360
- Modeling arid/semi-arid irrigated agricultural watersheds with SWAT: Applications, challenges, and solution strategies M. Samimi et al. 10.1016/j.jhydrol.2020.125418
- Integrating Satellite Rainfall Estimates with Hydrological Water Balance Model: Rainfall-Runoff Modeling in Awash River Basin, Ethiopia G. Adane et al. 10.3390/w13060800
1 citations as recorded by crossref.
Latest update: 27 May 2022
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.
The study presents a rapid, robust and reproducible approach to select optimum inputs for...
