Deep learning based reconstructions of the Atlantic meridional overturning circulation confirm twenty-first century decline

Publication date

2025-05-23

Authors

Michel, Simon L.L.
Dijkstra, H. A.ISNI 0000000023267948
Guardamagna, Francesco
Jacques-Dumas, Valérian
Van Westen, René M.ORCID 0000-0002-8807-7269ISNI 0000000492825228
von der Heydt, AnnaORCID 0000-0002-5557-3282ISNI 0000000395085782

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Advisors

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Document Type

Article
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License

taverne

Abstract

Gaining knowledge of the past and present variations of the Atlantic meridional overturning circulation (AMOC) is crucial for the development of accurate future climate projections. The short range covered by direct AMOC observations, inconsistent paleoclimate records, and scattered hydrographic data are insufficient to realistically reconstruct the AMOC strength since 1900. An AMOC proxy index based on sea surface temperatures suggests that the AMOC has declined by 15% since the late 19th century but this index received extensive scientific criticism. Here, we use a deep learning algorithm and climate model simulations to accurately reconstruct the AMOC strength between 20° N and 60° N since 1900. In contrast with the existing indices, our reconstructions are well in agreement with AMOC strength variations simulated by climate models and direct observations at 26.5° N. Our novel set of AMOC reconstructions contribute to a larger confidence in 21st century AMOC decline projections from climate models.

Keywords

AMOC reconstruction, climate models validation, machine learning, Renewable Energy, Sustainability and the Environment, General Environmental Science, Public Health, Environmental and Occupational Health, SDG 3 - Good Health and Well-being, SDG 7 - Affordable and Clean Energy, SDG 13 - Climate Action

Citation

Michel, S L L, Dijkstra, H A, Guardamagna, F, Jacques-Dumas, V, van Westen, R M & von der Heydt, A S 2025, 'Deep learning based reconstructions of the Atlantic meridional overturning circulation confirm twenty-first century decline', Environmental Research Letters, vol. 20, no. 6, 064036, pp. 1-10. https://doi.org/10.1088/1748-9326/add7f0