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Response of North Pacific and North Atlantic decadal variability to weak global warming

机译:北太平洋和北大西洋年代际变化对全球变暖减弱的响应

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摘要

The Pacific Decadal Oscillation (PDO) and the Atlantic Multidecadal Variability (AMV) are the two dominant low-frequency modes in the climate system. This research focused on the response of these two modes under weak global warming. Observational data were derived from the Hadley Center Sea Ice and Sea Surface Temperature dataset (HadISST) and coupled model outputs from the Coupled Model Intercomparison Project Phase 5 (CMIP5). Changes in PDO and AMV were examined using four models (bcc-csm1-1, CCSM4, IPSL-CM5A-LR, and MPI-ESM-LR) with long weak global warming scenarios (RCP2.6). These models captured the two low-frequency modes in both pre-industrial run and RCP2.6 run. Under weak global warming, the time scales of PDO and AMV significantly decreased while the amplitude only slightly decreased. Interestingly, the standard deviation of the North Pacific sea surface temperature anomaly (SSTA) decreased only in decadal time scale, and that of the North Atlantic SSTA decreased both in interannual and decadal time scales. The coupled system consists of a slow ocean component, which has a decadal time scale, and a fast atmospheric component, which is calculated by subtracting the decadal from the total. Results suggest that under global warming, PDO change is dominated by ocean dynamics, and AMV change is dominated by ocean dynamics and stochastic atmosphere forcing.
机译:太平洋年代际振荡(PDO)和大西洋多年代际变化(AMV)是气候系统中两个主要的低频模式。这项研究的重点是在全球变暖减弱情况下这两种模式的响应。观测数据来自哈德利中心海冰和海面温度数据集(HadISST),以及耦合模型比较项目5期(CMIP5)的耦合模型输出。使用长期疲弱的全球变暖情景(RCP2.6)的四个模型(bcc-csm1-1,CCSM4,IPSL-CM5A-LR和MPI-ESM-LR)检查了PDO和AMV的变化。这些模型在工业化前运行和RCP2.6运行中捕获了两种低频模式。在全球变暖较弱的情况下,PDO和AMV的时间尺度显着下降,而幅度仅略有下降。有趣的是,北太平洋海表温度距平(SSTA)的标准偏差仅在年代际尺度上减小,而北大西洋SSTA的标准偏差在年际和年代际尺度上都减小。耦合系统由一个慢海洋成分和一个快速大气成分组成,该海洋成分具有十年的时间尺度,而大气成分是通过从总量中减去十年来计算的。结果表明,在全球变暖的情况下,PDO的变化主要由海洋动力学决定,AMV的变化主要由海洋动力学和随机大气强迫决定。

著录项

  • 来源
    《气候变化研究进展(英文版)》 |2018年第2期|95-101|共7页
  • 作者单位

    Laboratory for Climate and Ocean-Atmosphere Studies (LaCOAS) and Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China;

    Laboratory for Climate and Ocean-Atmosphere Studies (LaCOAS) and Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China;

    Atmospheric Science Program, Department of Geography, Ohio State University, Columbus 43210, USA;

    Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Chenge (ILCEC), Climate Dynamics Research Center, Nanjing University of Information Science and Technology, Nanjing 210044, China;

    Physical Oceanography Lab, Ocean University of China, Qingdao 266100, China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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  • 入库时间 2022-08-19 03:58:03
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