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太平洋年代际变化的模态与机制。

Modes and Mechanisms of Pacific Decadal-Scale Variability.

机构信息

Department of Earth, Environmental, and Planetary Sciences, Brown University, Providence, Rhode Island, USA; email:

Physical Sciences Laboratory, National Oceanic and Atmospheric Administration, Boulder, Colorado, USA.

出版信息

Ann Rev Mar Sci. 2023 Jan 16;15:249-275. doi: 10.1146/annurev-marine-040422-084555. Epub 2022 Sep 15.

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.

摘要

太平洋年代际变率(PDV)的模态,传统上定义为方差的统计模式,首先反映了海洋对大气强迫的综合(即红化),这种强迫是由气候(时间平均)大气环流的转变和强度变化引起的。虽然这些模式简洁地描述了 PDV,但它们并不能区分驱动 PDV 异常演变的关键动力过程,包括大气和海洋遥相关以及与类似空间结构的耦合反馈,它们在不同的时间尺度上运行。在这篇综述中,我们综合了过去使用从几个再分析产品中提取的月度海洋表面异常构建的经验动力模型进行的分析,表明方差的 PDV 模态是由两个基本的低频动力本征模态引起的:北太平洋-中太平洋(NP-CP)和黑潮-亲潮延伸(KOE)模态。这两种本征模态都强调了热带-中高纬度双向遥相关动力学是激发和同步 PDV 流域尺度特征的主要机制。虽然 NP-CP 模态捕获了年际到年代际的可变性,但 KOE 模态与 PDV 的流域尺度表达有关,包括来自南太平洋的贡献。

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