Preprints
https://doi.org/10.5194/egusphere-2026-699
https://doi.org/10.5194/egusphere-2026-699
27 Feb 2026
 | 27 Feb 2026
Status: this preprint is open for discussion and under review for Earth System Dynamics (ESD).

Atlantic Multidecadal Variability since 1850 is largely externally forced

Yongyao Liang, Ed Hawkins, Gerard McCarthy, and Peter Thorne

Abstract. Whether observed Atlantic Multidecadal variability (AMV) is truly an intrinsic internal mode of climate variability or an externally forced response remains contentious, with conflicting literature that North Atlantic SST variability arises from internal dynamics or external forcing. The availability of several single model initial-condition large ensembles (SMILEs) and new insights into potential biases in sea surface temperature (SST) variations offer a fresh opportunity to reassess this question. We show that SMILE ensembles provide strong evidence that AMV-like variability is largely externally forced. New insights into potential SST biases also raise questions about apparent early 20th Century oscillatory behaviour. SMILE models with stronger multidecadal variability show weaker agreement with observed AMV phasing, even in the best performing individual ensemble members, suggesting that large internal model variability may obscure the forced signal. We conclude that future variations in North Atlantic SST will very likely be driven primarily by future anthropogenic activities.

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Yongyao Liang, Ed Hawkins, Gerard McCarthy, and Peter Thorne

Status: open (until 10 Apr 2026)

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Yongyao Liang, Ed Hawkins, Gerard McCarthy, and Peter Thorne
Yongyao Liang, Ed Hawkins, Gerard McCarthy, and Peter Thorne

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Short summary
Using novel climate simulations and historical temperature estimates, we separated natural climate fluctuations from externally driven influences. We find that the timing of long-term temperature swings since the mid-nineteenth century is mainly controlled by external factors, while natural variability mostly affects their strength. We also show that biases in early temperature estimates can complicate interpretation of Atlantic Multidecadal Variability.
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