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

Polanco, Erwin Isaac; Fleifle, Amr; Ludwig, Ralf; Disse, Markus

doi:https://doi.org/10.5194/hess-21-4907-2017

Articles | Volume 21, issue 9

https://doi.org/10.5194/hess-21-4907-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-21-4907-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 21, issue 9

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

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Final revised paper (published on 28 Sep 2017)
Preprint (discussion started on 16 Feb 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review comment', Anonymous Referee #1, 09 Mar 2017
- AC1: 'Reply to Referee #1', Erwin Isaac Polanco, 28 Mar 2017
RC2: 'Improving SWAT model performance in the Upper Blue Nile River Basin using meteorological data integration and catchment scaling', Anonymous Referee #2, 19 Mar 2017
- AC2: 'Reply to Referee #2', Erwin Isaac Polanco, 28 Mar 2017

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

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.