DOE OSTI · 2513915
AMOC Variability in Climate Models and Its Dependence on the Mean State
Abstract
Abstract Understanding internal variability of the climate system is critical when isolating internal and anthropogenically forced signals. Here, we investigate the modes of Atlantic Meridional Overturning Circulation ( AMOC ) variability using perturbation experiments with the Institut Pierre‐Simon Laplace's (IPSL) coupled model and compare them to Coupled Model Intercomparison Project Phase 6 (CMIP6) pre‐industrial control simulations. We identify two characteristic modes of variability—decadal‐to‐multidecadal ( DMD var ) and centennial ( CEN var ). The former is driven largely by temperature anomalies in the subpolar North Atlantic, while the latter is driven by salinity in the western subpolar North Atlantic. The amplitude of each mode scales linearly with the mean AMOC strength in the IPSL experiments. The DMD var amplitude correlates well with the AMOC mean strength across CMIP6 models, while the CEN var mode does not. These findings suggest that the strength of DMD var depends robustly on the North Atlantic mean state, while the CEN var mode may be model‐dependent.
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Ferster, Brady S. [LOCEAN‐IPSL Sorbonne Université CNRS IRD MNHN Paris France, Department of Earth and Planetary Sciences Yale University New Haven CT USA] (ORCID:000000019241518X), Fedorov, Alexey V. [LOCEAN‐IPSL Sorbonne Université CNRS IRD MNHN Paris France, Department of Earth and Planetary Sciences Yale University New Haven CT USA] (ORCID:0000000154281117), Mignot, Juliette [LOCEAN‐IPSL Sorbonne Université CNRS IRD MNHN Paris France] (ORCID:000000024894898X), Guilyardi, Eric [LOCEAN‐IPSL Sorbonne Université CNRS IRD MNHN Paris France, NCAS‐Climate University of Reading Reading UK] (ORCID:0000000222558625). 2025-02-09. AMOC Variability in Climate Models and Its Dependence on the Mean State. https://doi.org/10.1029/2024gl110356
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