Articles | Volume 21, issue 9
Hydrol. Earth Syst. Sci., 21, 4907–4926, 2017
https://doi.org/10.5194/hess-21-4907-2017
Hydrol. Earth Syst. Sci., 21, 4907–4926, 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 et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by Editor and Referees) (25 Apr 2017) by Stefan Uhlenbrook
AR by Erwin Isaac Polanco on behalf of the Authors (08 May 2017)  Author's response    Manuscript
ED: Publish subject to revisions (further review by Editor and Referees) (04 Jun 2017) by Stefan Uhlenbrook
AR by Erwin Isaac Polanco on behalf of the Authors (28 Jun 2017)  Author's response    Manuscript
ED: Publish as is (18 Aug 2017) by Stefan Uhlenbrook
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.