Exploring uncertainty in dynamical future changes in Sahel precipitation: the extratropical influence

Abstract The future changes in Sahel precipitation have significant societal implications. Yet, the projections in Sahel precipitation remain highly uncertain, partly due to strong differences across climate models in projected sea surface temperature (SST) and its effects on the atmospheric circulation. This study investigates the effects of North Atlantic and Mediterranean SST changes on future Sahel precipitation through sensitivity experiments conducted with three atmospheric models. We confirm that the warming of the North Atlantic and the Mediterranean SSTs is one of the main reasons for the discrepancies between climate model projections of Sahel precipitation. Warming in the North Atlantic and Mediterranean enhances the monsoon circulation and increases precipitation over the Sahel, primarily through dynamical effects driven by energy gradients. At the same time, we identify non-linear responses to the Atlantic warming and substantial differences between the results of each model. Thus, reducing uncertainty in Sahel precipitation projections calls for improved understanding of two issues: first, Northern Hemisphere SST changes and their representation in climate models, and second, their effects on Sahel precipitation. Additionally, we find that uncertainty in future SST changes contributes to uncertainty in high-impact weather events.

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Publication Details

Journal
Climate Dynamics
Published
2025-09-01
DOI
https://doi.org/10.1007/s00382-025-07835-0
Citations
1
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
1.11
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article

Exploring uncertainty in dynamical future changes in Sahel precipitation: the extratropical influence

Elsa Mohíno, Michela Biasutti, Benjamin Pohl, Marie‐Pierre Moine et al.
1 citations
Climate Dynamics
Climate variability and models
1.11
article

Exploring uncertainty in dynamical future changes in Sahel precipitation: the extratropical influence

Elsa Mohíno, Michela Biasutti, Benjamin Pohl, Marie‐Pierre Moine, Paul‐Arthur Monerie, Emmanuel Jean-Marie Mignot
article en
1 citations

Abstract

Abstract The future changes in Sahel precipitation have significant societal implications. Yet, the projections in Sahel precipitation remain highly uncertain, partly due to strong differences across climate models in projected sea surface temperature (SST) and its effects on the atmospheric circulation. This study investigates the effects of North Atlantic and Mediterranean SST changes on future Sahel precipitation through sensitivity experiments conducted with three atmospheric models. We confirm that the warming of the North Atlantic and the Mediterranean SSTs is one of the main reasons for the discrepancies between climate model projections of Sahel precipitation. Warming in the North Atlantic and Mediterranean enhances the monsoon circulation and increases precipitation over the Sahel, primarily through dynamical effects driven by energy gradients. At the same time, we identify non-linear responses to the Atlantic warming and substantial differences between the results of each model. Thus, reducing uncertainty in Sahel precipitation projections calls for improved understanding of two issues: first, Northern Hemisphere SST changes and their representation in climate models, and second, their effects on Sahel precipitation. Additionally, we find that uncertainty in future SST changes contributes to uncertainty in high-impact weather events.

Climate DynamicsVol. 63(9)
Universidad Complutense de Madrid (ES), Centre National de la Recherche Scientifique (FR), Lamont-Doherty Earth Observatory (US), Université de Bourgogne (FR), Sorbonne Université (FR), Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (FR), National Centre for Atmospheric Science (GB), Institut Pierre-Simon Laplace (FR), Laboratoire des Sciences du Climat et de l'Environnement (FR), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (FR), Biogéosciences (FR), Institut de Recherche pour le Développement (FR), Columbia University (US)
Openalex Percentile: Top 20%
Climate variability and models
1.11
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