4.7 Article

Disentangling Internal and External Contributions to Atlantic Multidecadal Variability Over the Past Millennium

期刊

GEOPHYSICAL RESEARCH LETTERS
卷 48, 期 23, 页码 -

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1029/2021GL095990

关键词

Atlantic multidecadal variability; PMIP4; past1000; paleo-climate; internal variability; volcano

资金

  1. German Federal Ministry of Education and Research (BMBF), research programme ROMIC-II, ISOVIC [FKZ: 01LG1909 B]
  2. Deutsche Forschungsgemeinschaft Research Unit VolImpact within the project VolClim [FOR2820, 398006378, TI 344/2-1]
  3. L-IPSL LABEX
  4. IPSL Climate Graduate School EUR
  5. CALDERA project grant
  6. GENCI (Grand Equipment National de Calcul Intensif) [gencmip6]
  7. Deutsches Klima Rechenzentrum (DKRZ) [bb1171]
  8. Projekt DEAL

向作者/读者索取更多资源

This study decomposes the Atlantic multidecadal variability into internal and external components using a multi-model ensemble, finding that the internal component is closely related to the Atlantic meridional overturning circulation and dominates the fluctuations of AMV; while the external signal has limited impacts on AMOC.
The Atlantic multidecadal variability (AMV) modulates the North Atlantic surface ocean variability and affects decadal climates over the globe; its underlying mechanisms remain, however, under debate. In this study, we use a multi-model ensemble of transient past-millennium (850-1849) and unperturbed preindustrial control simulations contributing to the paleoclimate modeling intercomparison project-phase 4 (PMIP4) to decompose the AMV signal into the internal AMV and the external signal. The internal component of AMV exhibits no robust behavior across simulations during periods of major forcing such as strong volcanic eruptions, whereas the external forced temperature responds to volcanic eruptions with an immediate radiative cooling followed, in some simulations, by a sequence of damped multidecadal oscillations. The internal component tightly relates with the Atlantic meridional overturning circulation (AMOC) and dominates the fluctuations of AMV; whereas the external signal has limited impacts on AMOC and explains similar to 25% of the AMV variance over the past millennium.

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