Articles | Volume 21, issue 9
Hydrol. Earth Syst. Sci., 21, 4907–4926, 2017
Hydrol. Earth Syst. Sci., 21, 4907–4926, 2017

Research article 28 Sep 2017

Research article | 28 Sep 2017

Improving SWAT model performance in the upper Blue Nile Basin using meteorological data integration and subcatchment discretization

Erwin Isaac Polanco et al.

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Cited articles

Abbaspour, K. C.: SWAT-CUP: SWAT calibration and uncertainty programs-A user manual, Tech. rep., Swiss Federal Institute of Aquatic Science and Technology, Eawag, Dübendorf, Switzerland, 2015.
Abera, W., Formetta, G., Brocca, L., and Rigon, R.: Modeling the water budget of the Upper Blue Nile basin using the JGrass-NewAge model system and satellite data, Hydrol. Earth Syst. Sci., 21, 3145–3165,, 2017.
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop Evapotranspiration: Guidelines for computing crop water requirements, FAO Irrigation and Drainage Paper No. 56, Food and Agriculture Organization, Land and Water, Rome, Italy, 1998.
Arnold, J. G., Kiniry, J. R., Srinivasan, R., Williams, J. R., Haney, E. B., and Neitsch, S. L.: Soil & Water Assessment Tool, Input/Output documentation, version 2012, Texas Water Resources Institute, Texas, 246–248, 2012.
Bastidas, L. A., Gupta, H. V., and Sorooshian, S.: Emerging paradigms in the calibration of hydrologic models, Mathematical Models of Large Watershed Hydrology, Water Resources Publications, LLC, Englewood, CO, USA, 1, 25–56, 2002.
Short summary
In this research, SWAT was used to model the upper Blue Nile Basin where comparisons between ground and CFSR data were done. Furthermore, this paper introduced the SWAT error index (SEI), an additional tool to measure the level of error of hydrological models. This work proposed an approach or methodology that can effectively be followed to create better and more efficient hydrological models.