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Modes and Mechanisms of Pacific Decadal-Scale Variability.
Di Lorenzo, E; Xu, T; Zhao, Y; Newman, M; Capotondi, A; Stevenson, S; Amaya, D J; Anderson, B T; Ding, R; Furtado, J C; Joh, Y; Liguori, G; Lou, J; Miller, A J; Navarra, G; Schneider, N; Vimont, D J; Wu, S; Zhang, H.
Affiliation
  • Di Lorenzo E; Department of Earth, Environmental, and Planetary Sciences, Brown University, Providence, Rhode Island, USA; email: e.dilorenzo@brown.edu.
  • Xu T; Physical Sciences Laboratory, National Oceanic and Atmospheric Administration, Boulder, Colorado, USA.
  • Zhao Y; Deep-Sea Multidisciplinary Research Center, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao, China.
  • Newman M; Physical Sciences Laboratory, National Oceanic and Atmospheric Administration, Boulder, Colorado, USA.
  • Capotondi A; Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, Colorado, USA.
  • Stevenson S; Physical Sciences Laboratory, National Oceanic and Atmospheric Administration, Boulder, Colorado, USA.
  • Amaya DJ; Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, Colorado, USA.
  • Anderson BT; Bren School of Environmental Science and Management, University of California, Santa Barbara, California, USA.
  • Ding R; Physical Sciences Laboratory, National Oceanic and Atmospheric Administration, Boulder, Colorado, USA.
  • Furtado JC; Department of Earth and Environment, Boston University, Boston, Massachusetts, USA.
  • Joh Y; State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China.
  • Liguori G; School of Meteorology, University of Oklahoma, Norman, Oklahoma, USA.
  • Lou J; Atmospheric and Oceanic Sciences Program, Princeton University, Princeton, New Jersey, USA.
  • Miller AJ; Department of Physics and Astronomy, University of Bologna, Bologna, Italy.
  • Navarra G; School of Earth, Atmosphere, and Environment, Monash University, Melbourne, Victoria, Australia.
  • Schneider N; Physical Sciences Laboratory, National Oceanic and Atmospheric Administration, Boulder, Colorado, USA.
  • Vimont DJ; Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, Colorado, USA.
  • Wu S; Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California, USA.
  • Zhang H; Program in Ocean Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.
Ann Rev Mar Sci ; 15: 249-275, 2023 01 16.
Article in En | MEDLINE | ID: mdl-36112981
ABSTRACT
The modes of Pacific decadal-scale variability (PDV), traditionally defined as statistical patterns of variance, reflect to first order the ocean's integration (i.e., reddening) of atmospheric forcing that arises from both a shift and a change in strength of the climatological (time-mean) atmospheric circulation. While these patterns concisely describe PDV, they do not distinguish among the key dynamical processes driving the evolution of PDV anomalies, including atmospheric and ocean teleconnections and coupled feedbacks with similar spatial structures that operate on different timescales. In this review, we synthesize past analysis using an empirical dynamical model constructed from monthly ocean surface anomalies drawn from several reanalysis products, showing that the PDV modes of variance result from two fundamental low-frequency dynamical eigenmodes the North Pacific-central Pacific (NP-CP) and Kuroshio-Oyashio Extension (KOE) modes. Both eigenmodes highlight how two-way tropical-extratropical teleconnection dynamics are the primary mechanisms energizing and synchronizing the basin-scale footprint of PDV. While the NP-CP mode captures interannual- to decadal-scale variability, the KOE mode is linked to the basin-scale expression of PDV on decadal to multidecadal timescales, including contributions from the South Pacific.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Ann Rev Mar Sci Journal subject: BIOLOGIA Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Ann Rev Mar Sci Journal subject: BIOLOGIA Year: 2023 Document type: Article