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Unprecedented Heatwave in Western North America during Late June of 2021: Roles of Atmospheric Circulation and Global Warming
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  • Published: 22 July 2022

Unprecedented Heatwave in Western North America during Late June of 2021: Roles of Atmospheric Circulation and Global Warming

  • Chunzai Wang1,2,3,
  • Jiayu Zheng1,2,3,5,
  • Wei Lin2,4 &
  • …
  • Yuqing Wang2,4 

Advances in Atmospheric Sciences volume 40, pages 14–28 (2023)Cite this article

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Abstract

An extraordinary and unprecedented heatwave swept across western North America (i.e., the Pacific Northwest) in late June of 2021, resulting in hundreds of deaths, a massive die-off of sea creatures off the coast, and horrific wildfires. Here, we use observational data to find the atmospheric circulation variabilities of the North Pacific and Arctic-Pacific-Canada patterns that co-occurred with the development and mature phases of the heatwave, as well as the North America pattern, which coincided with the decaying and eastward movement of the heatwave. Climate models from the Coupled Model Intercomparison Project (Phase 6) are not designed to simulate a particular heatwave event like this one. Still, models show that greenhouse gases are the main reason for the long-term increase of average daily maximum temperature in western North America in the past and future.

摘 要

2021 年 6 月底至7月初, 北美西部发生了一次前所未有的超级热浪事件, 多地的气温打破了有观测以来的历史纪录. 此次超级热浪事件导致了数百人死亡, 造成了大量的沿海生物死亡, 引发了严重的森林野火. 利用逐日的大气再分析资料, 我们发现大气环流异常引起的 “热穹顶” 对本次超级热浪事件的形成与演变有着重要的作用. 其中, 北太平洋型环流异常、 极地-太平洋-加拿大型环流异常对应着热浪事件的发展与成熟, 而北美型环流异常对应着热浪事件的衰退与东移. 除了自然变率, 本次北美热浪事件也受到人为强迫的影响. 利用第六次国际耦合模式比较计划 (CMIP6) 中检测归因模式比较计划 (DAMIP) 的模式数据, 我们发现, 从长期来看, 以温室气体为主的人类活动是北美西部日最高气温过去和未来增长的主要原因. 如果不采取适当的减排措施, 以往百年一遇的超级热浪事件在未来将会变成常态, 并将严重威胁人类健康与生态平衡.

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Data availability. All data in the main text or the Supplementary information and Methods are available. In the main text, NCEP/NCAR reanalysis data are available athttps://psl.noaa.gov/data/gridded/data.ncep.reanalysis.html. GHCND observation data are available at ftp:/fftp.ncdc.noaa.gov/pub/data/ghcn/dally/grid/. CMIP6 model data are available at https://esgf-node.llnl.gov/projects/cmip6/. The NOAA OISST high-resolution dataset, which is v2.0 over 1982–2015 and v2.1 over 2016–21, is available at https://psl.noaa.gov/data/gridded/data.noaa.oisst.v2.highres.html.

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Acknowledgements

This study is supported by the Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (GML2019ZD0306), National Natural Science Foundation of China (Grant Nos. 41731173 and 42192564), National Key R&D Program of China (2019YFA0606701), Strategic Priority Research Program of Chinese Academy of Sciences (XDB42000000 and XDA20060502), Innovation Academy of South China Sea Ecology and Environmental Engineering, Chinese Academy of Sciences (ISEE2021ZD01), Independent Research Project Program of State Key Laboratory of Tropical Oceanography (Grand No. LTOZZ2004), and Leading Talents of Guangdong Province Program. The numerical simulations were supported by the High Performance Computing Division in the South China Sea Institute of Oceanology.

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Authors and Affiliations

  1. Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China

    Chunzai Wang & Jiayu Zheng

  2. State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, 510301, China

    Chunzai Wang, Jiayu Zheng, Wei Lin & Yuqing Wang

  3. Innovation Academy of South China Sea Ecology and Environmental Engineering, Chinese Academy of Sciences, Guangzhou, 510301, China

    Chunzai Wang & Jiayu Zheng

  4. University of Chinese Academy of Sciences, Beijing, 100049, China

    Wei Lin & Yuqing Wang

  5. State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China

    Jiayu Zheng

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  1. Chunzai Wang
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Correspondence to Chunzai Wang or Jiayu Zheng.

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Article Highlights

• The North Pacific and Arctic-Pacific-Canada patterns co-occur with the development and mature phases of the heatwave in western North America.

• The North America pattern coincides with the decaying and eastward movement of the heatwave in western North America.

• Greenhouse gases are a main reason for the average daily maximum temperature increase in the past and future.

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Cite this article

Wang, C., Zheng, J., Lin, W. et al. Unprecedented Heatwave in Western North America during Late June of 2021: Roles of Atmospheric Circulation and Global Warming. Adv. Atmos. Sci. 40, 14–28 (2023). https://doi.org/10.1007/s00376-022-2078-2

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  • Received: 18 March 2022

  • Revised: 12 June 2022

  • Accepted: 30 June 2022

  • Published: 22 July 2022

  • Issue Date: January 2023

  • DOI: https://doi.org/10.1007/s00376-022-2078-2

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Key words

  • heatwave
  • climate change
  • atmospheric circulation pattern
  • Pacific Northwest

关键词

  • 热浪
  • 气候变化
  • 大气环流模态
  • 北美西部
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