Negotiating Nile infrastructure management should consider climate change uncertainties
Negotiating Nile infrastructure management should consider climate change uncertainties
High uncertainty exists in the projected climate change impacts on the Nile’s economies and water-dependent sectors. Under these uncertainties, managing the Grand Ethiopian Renaissance Dam cooperatively and adaptively can produce economic and water management benefits for Ethiopia, Sudan and Egypt.
17-19
Basheer, Mohammed
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Nechifor, Victor
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Calzadilla, Alvaro
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Gebrechorkos, Solomon
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Pritchard, David
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Forsythe, Nathan
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Gonzalez, Jose M.
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Sheffield, Justin
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Fowler, Hayley J.
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Harou, Julien J.
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9 January 2023
Basheer, Mohammed
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Nechifor, Victor
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Calzadilla, Alvaro
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Gebrechorkos, Solomon
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Pritchard, David
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Forsythe, Nathan
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Gonzalez, Jose M.
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Sheffield, Justin
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Fowler, Hayley J.
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Harou, Julien J.
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Basheer, Mohammed, Nechifor, Victor, Calzadilla, Alvaro, Gebrechorkos, Solomon, Pritchard, David, Forsythe, Nathan, Gonzalez, Jose M., Sheffield, Justin, Fowler, Hayley J. and Harou, Julien J.
(2023)
Negotiating Nile infrastructure management should consider climate change uncertainties.
Nature Climate Change, 13 (1), .
(doi:10.1038/s41558-022-01557-5).
Abstract
High uncertainty exists in the projected climate change impacts on the Nile’s economies and water-dependent sectors. Under these uncertainties, managing the Grand Ethiopian Renaissance Dam cooperatively and adaptively can produce economic and water management benefits for Ethiopia, Sudan and Egypt.
Text
Policy_brief_vmb3_vjh1_vac1_vJS1_hjf1_vjm1_vdp1_vvn1
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e-pub ahead of print date: 9 January 2023
Published date: 9 January 2023
Additional Information:
Funding Information:
M.B.’s doctoral degree is funded by the Faculty of Science and Engineering of the University of Manchester. This work was supported by the UK Research and Innovation Economic and Social Research Council (ES/P011373/1) as part of the Global Challenges Research Fund through the ‘Future Design and Assessment of Water-Energy-Food-Environment Mega Systems’ (FutureDAMS) research project, in which J.J.H. served as research director. The authors thank GAMS Software GmbH for providing optimization solver licences compatible with deploying the economy-wide simulation on supercomputers. The authors acknowledge the use of the Computational Shared Facility and High-Performance Computing of the University of Manchester. The views expressed in this article are the responsibility of the authors and do not necessarily reflect those of their institutions.
Funding Information:
M.B.’s doctoral degree is funded by the Faculty of Science and Engineering of the University of Manchester. This work was supported by the UK Research and Innovation Economic and Social Research Council (ES/P011373/1) as part of the Global Challenges Research Fund through the ‘Future Design and Assessment of Water-Energy-Food-Environment Mega Systems’ (FutureDAMS) research project, in which J.J.H. served as research director. The authors thank GAMS Software GmbH for providing optimization solver licences compatible with deploying the economy-wide simulation on supercomputers. The authors acknowledge the use of the Computational Shared Facility and High-Performance Computing of the University of Manchester. The views expressed in this article are the responsibility of the authors and do not necessarily reflect those of their institutions.
Identifiers
Local EPrints ID: 477099
URI: http://eprints.soton.ac.uk/id/eprint/477099
ISSN: 1758-678X
PURE UUID: 6db06a0e-8683-440a-a7fe-8d73f37d43c2
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Date deposited: 26 May 2023 16:32
Last modified: 17 Mar 2024 07:40
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Contributors
Author:
Mohammed Basheer
Author:
Victor Nechifor
Author:
Alvaro Calzadilla
Author:
David Pritchard
Author:
Nathan Forsythe
Author:
Jose M. Gonzalez
Author:
Hayley J. Fowler
Author:
Julien J. Harou
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