Anthropogenic influence on extreme temperatures in China based on CMIP6 models

被引:22
|
作者
Hu, Ting [1 ]
Sun, Ying [1 ,2 ]
机构
[1] China Meteorol Adm, Lab Climate Studies, Natl Climate Ctr, 46 Zhongguancun Nandajie, Beijing 100081, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing, Peoples R China
基金
国家重点研发计划; 美国国家科学基金会;
关键词
anthropogenic aerosol; anthropogenic forcing; CMIP6; models; detection and attribution; GHG; temperature extremes; AEROSOL OPTICAL-PROPERTIES; PRECIPITATION EXTREMES; PART I; HEAT; URBANIZATION; ATTRIBUTION; CLIMATE; INDEXES; SUMMER; TRENDS;
D O I
10.1002/joc.7402
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
With rapid warming since the mid-20th century, China has experienced remarkable changes in the extreme temperatures. We use the updated observational data and the newest generation of climate models from Coupled Model Intercomparison Project Phase 6 (CMIP6) to investigate the relative contribution from different external forcing to the temperature extremes. We find that both intensity and frequency indices of extreme temperature experience continuous warming during 1951-2018. More intense and more frequent warm extremes and less intense and less frequent cold extremes are observed in most regions. An exception is a warming slowdown in the intensity of the coldest extremes since the late 1990s in northeast China. These observed changes are generally well reproduced by CMIP6 climate models, especially for the warm days and nights. Detection analyses based on an optimal fingerprinting method show that anthropogenic forcing (ANT) is the main driver for these changes, with cold extremes less detectability than warm extremes. Three-signal detections show that both greenhouse gas (GHG) and anthropogenic aerosols (AA) influences can be detected and separated in most warm extreme indices but not in the cold extremes, while the natural forcing influence is negligible for most indices. GHG forcing plays a dominant role, accounting for about 1.6 (1.1-2) times of observed warming in changes of most indices, while the AA offset about 35% (10-60%) of GHG induced warming for warm extremes. Anthropogenic factors including land use and ozone may have a very small positive contribution to the extreme temperatures.
引用
收藏
页码:2981 / 2995
页数:15
相关论文
共 50 条
  • [1] Attribution of observed changes in extreme temperatures to anthropogenic forcing using CMIP6 models
    Engdaw, Mastawesha Misganaw
    Steiner, Andrea K.
    Hegerl, Gabriele C.
    Ballinger, Andrew P.
    WEATHER AND CLIMATE EXTREMES, 2023, 39
  • [2] Detectable anthropogenic influence on the changes in structure of precipitation over China using CMIP6 models
    Bai, Jingyi
    Ai, Wenwen
    Tang, Huining
    Zhang, Zhendong
    CLIMATE DYNAMICS, 2024, 62 (09) : 8899 - 8911
  • [3] Detection of anthropogenic influence on the intensity of extreme temperatures in China
    Yin, Hong
    Sun, Ying
    Wan, Hui
    Zhang, Xuebin
    Lu, Chunhui
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2017, 37 (03) : 1229 - 1237
  • [4] Evaluation of Extreme Temperatures Over Australia in the Historical Simulations of CMIP5 and CMIP6 Models
    Deng, Xu
    Perkins-Kirkpatrick, Sarah E.
    Lewis, Sophie C.
    Ritchie, Elizabeth A.
    EARTHS FUTURE, 2021, 9 (07)
  • [5] Anthropogenic influence on the frequency of extreme temperatures in China
    Lu, Chunhui
    Sun, Ying
    Wan, Hui
    Zhang, Xuebin
    Yin, Hong
    GEOPHYSICAL RESEARCH LETTERS, 2016, 43 (12) : 6511 - 6518
  • [6] Evaluation of events of extreme temperature change between neighboring days in CMIP6 models over China
    Song, Shuaifeng
    Yan, Xiaodong
    THEORETICAL AND APPLIED CLIMATOLOGY, 2022, 150 (1-2) : 53 - 72
  • [7] Assessment of Extreme Precipitation Indices over Indochina and South China in CMIP6 Models
    Tang, Bin
    Hu, Wenting
    Duan, Anmin
    JOURNAL OF CLIMATE, 2021, 34 (18) : 7507 - 7524
  • [8] Anthropogenic influence on seasonal extreme temperatures in eastern China at century scale
    Hu, Ting
    Sun, Ying
    Zheng, Xiang
    Ren, Yuyu
    Ren, Guoyu
    WEATHER AND CLIMATE EXTREMES, 2024, 44
  • [9] Extreme climate changes over three major river basins in China as seen in CMIP5 and CMIP6
    Zhu, Xian
    Lee, Shao-Yi
    Wen, Xiaohang
    Ji, Zhenming
    Lin, Lei
    Wei, Zhigang
    Zheng, Zhiyuan
    Xu, Danya
    Dong, Wenjie
    CLIMATE DYNAMICS, 2021, 57 (3-4) : 1187 - 1205
  • [10] Evaluation of extreme precipitation over Asia in CMIP6 models
    Dong, Tianyun
    Dong, Wenjie
    CLIMATE DYNAMICS, 2021, 57 (7-8) : 1751 - 1769