Proceedings of IAHS
Proceedings of IAHS
PIAHS
Articles | Volume 385
Articles | Volume 385
https://doi.org/10.5194/piahs-385-121-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-385-121-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 385
Post-conference publication
 | 
18 Apr 2024
Post-conference publication |  | 18 Apr 2024

Future shifting of annual extreme flows under climate change in the Volta River basin

Moctar Dembélé, Mathieu Vrac, Natalie Ceperley, Sander J. Zwart, Josh Larsen, Simon J. Dadson, Grégoire Mariéthoz, and Bettina Schaefli

Data sets

ESGF Node at DKRZ ESGF https://esgf-data.dkrz.de

Database for the manuscript "Improving the predictive skill of a distributed hydrological model by calibration on spatial patterns with multiple satellite datasets Moctar Dembélé https://doi.org/10.5281/zenodo.3531873

Model code and software

mesoscale Hydrologic Model (v5.9) Luis Samaniego, Rohini Kumar, Stephan Thober, Oldrich Rakovec, Robert Schweppe, David Schäfer, Martin Schrön, Johannes Brenner, Cüneyd M. Demirel, Maren Kaluza, Mio Jing, Ben Langenberg, and Sabine Attinger https://doi.org/10.5281/zenodo.1299584

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Short summary
This study assesses the impact of climate change on the timing, seasonality and magnitude of mean annual minimum (MAM) flows and annual maximum flows (AMF) in the Volta River basin (VRB). Several climate change projection data are use to simulate river flow under multiple greenhouse gas emission scenarios. Future projections show that AMF could increase with various magnitude but negligible shift in time across the VRB, while MAM could decrease with up to 14 days of delay in occurrence.
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