Variability in flood frequency in Sub-Saharan Africa: The role of large-scale climate modes of variability and their future impacts

Job Ekolu, Bastien Dieppois, Yves Tramblay, Gabriele Villarini, Louise Slater, Gil Mahé, Jean-Emmanuel Paturel, Jonathan Eden, Simon Moulds, Moussa Sidibe, Pierre Camberlin, Benjamin Pohl, Marco Van De Wiel

Research output: Contribution to journalArticlepeer-review

11 Downloads (Pure)

Abstract

Sub-Saharan Africa (SSA) is strongly affected by flood hazards, endangering human
lives and economic stability. However, the role of internal climate modes of variability in driving fluctuations in SSA flood occurrence remains poorly documented and
understood. To address this gap, we quantify the relative and combined contribution of large-scale climate drivers to seasonal and regional flood occurrence using a new 65-year daily streamflow dataset, sea-surface temperatures derived from observations, and 12 Single Model Initial-condition Large Ensembles (SMILEs) from the Coupled Model Intercomparison Project Phases 5 and 6. We find significant relationships between floods and large-scale climate variability across SSA, with climatic drivers accounting for 30-90% of the variability in floods. Notably, western, central, and the summer-rain region of southern Africa display stronger teleconnections to large-scale climate variability in comparison to East Africa and the winter-rain region of South Africa, where regional circulation patterns and human activities may play a more important role. In southern and eastern Africa, floods are mainly influenced by teleconnections with the Pacific and Indian Oceans, while in western and central Africa, teleconnections with the Atlantic Ocean and Mediterranean Sea play a larger role. We also find that the number of floods is projected to fluctuate by ±10-50% during the 21st century in response to different sequences of key modes of climate variability. We also note that the relative contributions of large-scale climate variability to future flood risks are generally consistent across all SMILEs. Our findings thus provide valuable information for long-term disaster risk reduction and management.
Original languageEnglish
Article number131679
Number of pages18
JournalJournal of Hydrology
Volume640
Early online date14 Jul 2024
DOIs
Publication statusPublished - 1 Aug 2024

Bibliographical note

© 2024 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Funder

The research leading to these results received funding from the Coventry University Trailblazer PhD studentship scheme, and the Alliance Programme 2021 (Grant N\u25E6: 814426699), cofounded by the British Council and Campus-France.

Funding

The research leading to these results received funding from the Coventry University Trailblazer PhD studentship scheme, and the Alliance Programme 2021 (Grant N\u25E6: 814426699), cofounded by the British Council and Campus-France.

FundersFunder number
British Council
Campus-France
Coventry University814426699

    Keywords

    • Flood Frequency
    • Internal Climate variability
    • Sub-Saharan Africa
    • CMIP5/6 Single Model Initial Condition Large Ensembles (SMILEs)
    • Observed and Future Impacts

    Fingerprint

    Dive into the research topics of 'Variability in flood frequency in Sub-Saharan Africa: The role of large-scale climate modes of variability and their future impacts'. Together they form a unique fingerprint.

    Cite this