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

Simon L.L. Michel*, Henk A. Dijkstra, Francesco Guardamagna, Valérian Jacques-Dumas, René M. van Westen, Anna S. von der Heydt

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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.

Original languageEnglish
Article number064036
Pages (from-to)1-10
Number of pages10
JournalEnvironmental Research Letters
Volume20
Issue number6
DOIs
Publication statusPublished - 23 May 2025

Bibliographical note

Publisher Copyright:
© 2025 The Author(s). Published by IOP Publishing Ltd.

Keywords

  • AMOC reconstruction
  • climate models validation
  • machine learning

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