Articles | Volume 21, issue 9
https://doi.org/10.5194/hess-21-4907-2017
https://doi.org/10.5194/hess-21-4907-2017
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, Amr Fleifle, Ralf Ludwig, and Markus Disse

Viewed

Total article views: 3,015 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,697 1,236 82 3,015 69 98
  • HTML: 1,697
  • PDF: 1,236
  • XML: 82
  • Total: 3,015
  • BibTeX: 69
  • EndNote: 98
Views and downloads (calculated since 16 Feb 2017)
Cumulative views and downloads (calculated since 16 Feb 2017)

Viewed (geographical distribution)

Total article views: 3,015 (including HTML, PDF, and XML) Thereof 2,907 with geography defined and 108 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 19 Apr 2024
Download
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.