Modelling the water balance of Lake Victoria (East Africa) – Part 2: Future projections

Vanderkelen, Inne; van Lipzig, Nicole P. M.; Thiery, Wim

doi:https://doi.org/10.5194/hess-22-5527-2018

Articles | Volume 22, issue 10

https://doi.org/10.5194/hess-22-5527-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Modelling lakes in the climate system (GMD/HESS inter-journal...

https://doi.org/10.5194/hess-22-5527-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 10

Research article

| Highlight paper

|

25 Oct 2018

Research article | Highlight paper |

| 25 Oct 2018

Modelling the water balance of Lake Victoria (East Africa) – Part 2: Future projections

Inne Vanderkelen, Nicole P. M. van Lipzig, and Wim Thiery

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Final revised paper (published on 25 Oct 2018)
Preprint (discussion started on 04 Apr 2018)

Interactive discussion

Status: closed

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

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RC1: 'Review: Modelling the water balance of Lake Victoria (East Africa) part 2', Anonymous Referee #1, 24 Apr 2018
- AC1: 'Author Comment', Inne Vanderkelen, 28 Sep 2018
RC2: 'Review', Anonymous Referee #2, 09 Jul 2018
- AC1: 'Author Comment', Inne Vanderkelen, 28 Sep 2018

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to technical corrections (04 Oct 2018) by Miguel Potes

AR by Inne Vanderkelen on behalf of the Authors (07 Oct 2018) Manuscript

Short summary

Lake Victoria is the second largest freshwater lake in the world and one of the major sources of the Nile River, which is controlled by two hydropower dams. In this paper we estimate the potential consequences of climate change for future water level fluctuations of Lake Victoria. Our results reveal that the operating strategies at the dam are the main controlling factors of future lake levels and that regional climate simulations used in the projections encompass large uncertainties.