TY - JOUR
T1 - Deep learning based reconstructions of the Atlantic meridional overturning circulation confirm twenty-first century decline
AU - Michel, Simon L.L.
AU - Dijkstra, Henk A.
AU - Guardamagna, Francesco
AU - Jacques-Dumas, Valérian
AU - van Westen, René M.
AU - von der Heydt, Anna S.
N1 - Publisher Copyright:
© 2025 The Author(s). Published by IOP Publishing Ltd.
PY - 2025/5/23
Y1 - 2025/5/23
N2 - 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.
AB - 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.
KW - AMOC reconstruction
KW - climate models validation
KW - machine learning
UR - http://www.scopus.com/inward/record.url?scp=105005862292&partnerID=8YFLogxK
U2 - 10.1088/1748-9326/add7f0
DO - 10.1088/1748-9326/add7f0
M3 - Article
AN - SCOPUS:105005862292
SN - 1748-9326
VL - 20
SP - 1
EP - 10
JO - Environmental Research Letters
JF - Environmental Research Letters
IS - 6
M1 - 064036
ER -