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DOI10.1088/1748-9326/ab8497
Human influence on frequency of temperature extremes
Hu, Ting1; Sun, Ying1,2; Zhang, Xuebin3; Min, Seung-Ki4; Kim, Yeon-Hee4
2020-06-01
发表期刊ENVIRONMENTAL RESEARCH LETTERS
ISSN1748-9326
出版年2020
卷号15期号:6
文章类型Article
语种英语
国家Peoples R China; Canada; South Korea
英文摘要

We investigate the influence of external forcings on the frequency of temperature extremes over land at the global and continental scales by comparing HadEX3 observations and simulations from the Coupled Model Intercomparison Programme Phase 6 (CMIP6) project. We consider four metrics including warm days and nights (TX90p and TN90p) and cold days and nights (TX10p and TN10p). The observational dataset during 1951-2018 shows continued increases in the warm days and nights and decreases in the cold days and nights in most land areas in the years after 2010. The area of the so-called 'warming hole' in North America is much reduced in 1951-2018 compared with that in 1951-2010. The comparison between observation and simulations based on an optimal fingerprinting method shows that the anthropogenic forcing, dominated by greenhouse gases, plays the most important role in the changes of the frequency indices. Changes in CMIP6 multi-model mean response to all forcing need to be scaled down to best match the observations, indicating that the multi-model ensemble mean may have overestimated the observed changes. Analyses that involve signals from anthropogenic and natural external forcings confirm that the anthropogenic signal can be detected over global land as a whole and for most continents in all temperature indices. Analyses that include signals from greenhouse gas (GHG), anthropogenic aerosol (AA) and natural external (NAT) forcings show that the GHG signal is detected in all indices over the globe and most continents while the AA signal can be detected mainly in the warm extremes but not the cold extremes over the globe and most continents. The effect of NAT is negligible in most land areas. GHG's warming effect is offset partially by AA's cooling effect. The combined effects from both explain most of the observed changes over the globe and continents.


英文关键词temperature extremes detection and attribution anthropogenic forcing natural forcing CMIP6 models HadEX3 dataset
领域气候变化
收录类别SCI-E
WOS记录号WOS:000540841500001
WOS关键词PRECIPITATION EXTREMES ; CLIMATE EXTREMES ; PART I ; ATTRIBUTION ; INDEXES ; VARIABILITY ; AUSTRALIA ; TRENDS
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/289350
专题气候变化
作者单位1.China Meteorol Adm, Natl Climate Ctr, Lab Climate Studies, Beijing 100081, Peoples R China;
2.Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing 210044, Peoples R China;
3.Environm & Climate Change Canada, Div Climate Res, Toronto, ON M3H 5T4, Canada;
4.Pohang Univ Sci & Technol, Div Environm Sci & Engn, Pohang, South Korea
推荐引用方式
GB/T 7714
Hu, Ting,Sun, Ying,Zhang, Xuebin,et al. Human influence on frequency of temperature extremes[J]. ENVIRONMENTAL RESEARCH LETTERS,2020,15(6).
APA Hu, Ting,Sun, Ying,Zhang, Xuebin,Min, Seung-Ki,&Kim, Yeon-Hee.(2020).Human influence on frequency of temperature extremes.ENVIRONMENTAL RESEARCH LETTERS,15(6).
MLA Hu, Ting,et al."Human influence on frequency of temperature extremes".ENVIRONMENTAL RESEARCH LETTERS 15.6(2020).
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