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张小娟, 郑飞. 2022. 全球海洋热浪的多时间尺度变化特征及气候调控因子分析[J]. 气候与环境研究, 27(1): 170−182. doi: 10.3878/j.issn.1006-9585.2021.21061
引用本文: 张小娟, 郑飞. 2022. 全球海洋热浪的多时间尺度变化特征及气候调控因子分析[J]. 气候与环境研究, 27(1): 170−182. doi: 10.3878/j.issn.1006-9585.2021.21061
ZHANG Xiaojuan, ZHENG Fei. 2022. Analysis of Multi-time Scale Variation Characteristics and Climate Regulation Factors on Global Marine Heatwaves [J]. Climatic and Environmental Research (in Chinese), 27 (1): 170−182. doi: 10.3878/j.issn.1006-9585.2021.21061
Citation: ZHANG Xiaojuan, ZHENG Fei. 2022. Analysis of Multi-time Scale Variation Characteristics and Climate Regulation Factors on Global Marine Heatwaves [J]. Climatic and Environmental Research (in Chinese), 27 (1): 170−182. doi: 10.3878/j.issn.1006-9585.2021.21061

全球海洋热浪的多时间尺度变化特征及气候调控因子分析

Analysis of Multi-time Scale Variation Characteristics and Climate Regulation Factors on Global Marine Heatwaves

  • 摘要: 基于1982~2019年美国国家海洋和大气管理局(National Oceanic and Atmospheric Administration, NOAA)日最优插值海表温度(Daily Optimum Interpolation Sea Surface Temperature V2, OISST)观测资料和物理实验室(Physical Sciences Laboratory, PSL)多种气候观测指数,采用最小二乘回归、高低通滤波和相关分析等统计方法,分析了全球海洋热浪(Marine Heatwaves, MHWs)频次、持续时间、总天数和最大强度的多时间尺度演变特征及不同气候信号对其演变的调控。研究表明,MHWs频次在赤道西太平洋线性增长最快。在去除全球变暖趋势后,全球平均MHWs各属性年际和年代际变化均存在明显区域变化特征,主导区域也均受到多时间尺度气候信号的调制。本研究分析了5个关键海域(赤道中东太平洋、东北太平洋、西印度洋、西北大西洋、中高纬南大洋)MHWs频次等变化特征与不同气候信号的相关性,结果表明5个关键海域MHWs频次主要受年际气候信号调制。而年代际气候信号主要提供了一个背景状态,其对关键区域MHWs频次演变的影响没有年际气候信号对其演变的显著。

     

    Abstract: Based on National Oceanic and Atmospheric Administration (NOAA) Daily Optimum Interpolation Sea Surface Temperature V2 (OISST) observation data and various Physical Sciences Laboratory climate observation indexes from 1982 to 2019, statistical methods such as least square regression, high-low pass filtering, and correlation analysis were adopted to analyze the multi-timescale evolution characteristics of the global Marine Heatwaves (MHWs) frequency, duration, total days, and maximum intensity and the regulation effect of different climate signals on its evolution. Research shows that the MHW frequency linearly grows the fastest in the equatorial western Pacific. After removing the global warming trend, the interannual and interdecadal changes in the global mean MHWs have obvious regional variation characteristics, and all the dominant regions are modulated by the climate signals of multiple timescales. This study analyzes the correlation between the MHW properties and different climate signals in five key sea areas (equatorial central and eastern Pacific Ocean, northeast Pacific Ocean, western Indian Ocean, northwest Atlantic Ocean, and mid-high latitude Southern Ocean). Results show that the frequency of the MHWs in the five key sea areas is mainly modulated by interannual climate signals. The interdecadal climate signal mainly provides a background state, and its influence on the frequency evolution of MHWs in the key areas is not as significant as that of the interannual climate signal.

     

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