Observational constraints project a ~50% AMOC weakening by the end of this century

Climate models show considerable discrepancies in their future projections around the Atlantic, mainly due to uncertainties in the fate of the Atlantic Meridional Overturning Circulation (AMOC). Climate models suggest a reduction in AMOC strength of 32 ± 37% by 2100 (90% probability, Shared Socioeconomic Pathways 2-4.5 scenario, Coupled Model Intercomparison Project Phase 6). To refine this estimate and reduce its uncertainty, we use four different observational constraint methods. The best one, which provides the lowest leave-one-out error, integrates a large set of observable variables using ridge-regularized linear regression-a method unusual in climate science. It gives an estimate of the AMOC slowdown of 51 ± 8% (90% probability), i.e., a weakening ∼ 60% stronger than suggested by the multimodel mean. This refinement mainly results from correcting a bias in South Atlantic surface salinity, consistent with recent studies emphasizing its role in the proximity to an AMOC tipping point. This more substantial AMOC weakening has key implications for future adaptation strategies.

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Publication Details

Journal
Science Advances
Published
2026-04-15
DOI
https://doi.org/10.1126/sciadv.adx4298
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00

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article

Observational constraints project a ~50% AMOC weakening by the end of this century

Didier Swingedouw, Marie Chavent, Valentin Portmann, Omar Khattab
Science Advances
Climate variability and models
article

Observational constraints project a ~50% AMOC weakening by the end of this century

Didier Swingedouw, Marie Chavent, Valentin Portmann, Omar Khattab
article en

Abstract

Climate models show considerable discrepancies in their future projections around the Atlantic, mainly due to uncertainties in the fate of the Atlantic Meridional Overturning Circulation (AMOC). Climate models suggest a reduction in AMOC strength of 32 ± 37% by 2100 (90% probability, Shared Socioeconomic Pathways 2-4.5 scenario, Coupled Model Intercomparison Project Phase 6). To refine this estimate and reduce its uncertainty, we use four different observational constraint methods. The best one, which provides the lowest leave-one-out error, integrates a large set of observable variables using ridge-regularized linear regression-a method unusual in climate science. It gives an estimate of the AMOC slowdown of 51 ± 8% (90% probability), i.e., a weakening ∼ 60% stronger than suggested by the multimodel mean. This refinement mainly results from correcting a bias in South Atlantic surface salinity, consistent with recent studies emphasizing its role in the proximity to an AMOC tipping point. This more substantial AMOC weakening has key implications for future adaptation strategies.

Science AdvancesVol. 12(16)
Centre National de la Recherche Scientifique (FR), Université de Bordeaux (FR), Environnements et Paléoenvironnements Océaniques et Continentaux (FR), Institut Polytechnique de Bordeaux (FR), Institut de Mathématiques de Bordeaux (FR)
National Science Foundation, European Commission, Met Office, Horizon 2020 Framework Programme
Climate action
Openalex Percentile: Top 12%
Climate variability and models
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