4.6 Article

The abyssal origins of North Atlantic decadal predictability

期刊

CLIMATE DYNAMICS
卷 55, 期 7-8, 页码 2253-2271

出版社

SPRINGER
DOI: 10.1007/s00382-020-05382-4

关键词

Decadal prediction; North Atlantic; Subpolar gyre; AMOC

资金

  1. National Science Foundation (NSF) [OPP-1737377, OCE-1243015]
  2. Blue-Action project (European Unions Horizon 2020 research and innovation programme) [727852]
  3. NSF [1852977]
  4. Office of Science of the U.S. Department of Energy [DE-AC02-05CH11231]
  5. NCAR's Computational and Information Systems Laboratory

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The fundamental mechanisms that explain high subpolar North Atlantic (SPNA) decadal predictability within a particular modeling framework are described. The focus is on the Community Earth System Model (CESM), run in both a historical forced-ocean configuration as well as in a fully coupled configuration initialized from the former. The initialized prediction experiments comprise the CESM Decadal Prediction Large Ensemble (CESM-DPLE)-a 40-member set of retrospective hindcasts documented in Yeager et al. (Bull Am Meteorol Soc 99:1867-1886. 10.1175/bams-d-17-0098.1, 2018). Heat budget analysis confirms the driving role of advective heat convergence in skillful prediction of SPNA upper ocean heat content out to decadal lead times. The key ocean dynamics are topographically-coupled overturning/gyre fluctuations that are geographically centered over the mid-Atlantic ridge (MAR). Long-lasting predictive skill for ocean heat transport can be related to predictable barotropic gyre and sigma-coordinate AMOC circulations, but depth-coordinate AMOC is far less predictable except in the deepest layers. The foundation of ocean memory (and circulation predictive skill) in CESM-DPLE is Labrador Sea Water thickness, which propagates predictably through interior pathways towards the MAR where large anomalies accumulate and persist. Abyssal thickness anomalies drive predictable decadal changes in the gyre circulation, including changes in sea level gradient and near surface flow, that account for the high predictability of SPNA upper ocean heat content.

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