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
  • [31] Historical and Projected Changes in Temperature Extremes Over China and the Inconsistency Between Multimodel Ensembles and Individual Models From CMIP5 and CMIP6
    Yang, Yunfan
    Zhang, Yuanjie
    Gao, Zhiqiu
    Pan, Zaitao
    Zhang, Xuefen
    EARTH AND SPACE SCIENCE, 2023, 10 (02)
  • [32] Added value of CMIP6 models over CMIP5 models in simulating the climatological precipitation extremes in China
    Luo, Neng
    Guo, Yan
    Chou, Jieming
    Gao, Zhibo
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2022, 42 (02) : 1148 - 1164
  • [33] Evaluating Hydrologic Sensitivity in CMIP6 Models: Anthropogenic Forcing versus ENSO
    Norris, Jesse
    Hall, Alex
    Thackeray, Chad W.
    Chen, Di
    Madakumbura, Gavin D.
    JOURNAL OF CLIMATE, 2022, 35 (21) : 3355 - 3368
  • [34] Future Projection of Extreme Precipitation Indices over the Indochina Peninsula and South China in CMIP6 Models
    Tang, Bin
    Hu, Wenting
    Duan, Anmin
    JOURNAL OF CLIMATE, 2021, 34 (21) : 8793 - 8811
  • [35] Anthropogenic Influence on the Compound Hot and Dry Event in Summer 2022 in the Tibetan Plateau Based on Statistical Downscaling CMIP6 Models
    Xue, Kening
    Li, Wei
    Dong, Siyan
    Yu, Rong
    Wang, Leibin
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2025,
  • [36] Extreme temperature indices over the Volta Basin: CMIP6 model evaluation
    Agyekum, Jacob
    Annor, Thompson
    Quansah, Emmanuel
    Lamptey, Benjamin
    Amekudzi, Leonard Kofitse
    Nyarko, Benjamin Kofi
    CLIMATE DYNAMICS, 2023, 61 (1-2) : 203 - 228
  • [37] Future changes in daily snowfall events over China based on CMIP6 models
    Chen, Huopo
    Sun, Jianqi
    ATMOSPHERIC AND OCEANIC SCIENCE LETTERS, 2022, 15 (05)
  • [38] CMIP6 Projections of the "Warming-Wetting" Trend in Northwest China and Related Extreme Events Based on Observational Constraints
    Wang, Qian
    Zhai, Panmao
    JOURNAL OF METEOROLOGICAL RESEARCH, 2022, 36 (02) : 239 - 250
  • [39] Future transition in climate extremes over Western Ghats of India based on CMIP6 models
    Shetty, Swathi
    Umesh, Pruthviraj
    Shetty, Amba
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2023, 195 (05)
  • [40] Detection and Attribution of Changes in Summer Compound Hot and Dry Events over Northeastern China with CMIP6 Models
    Li, Wei
    Jiang, Zhihong
    Li, Laurent Z. X.
    Luo, Jing-Jia
    Zhai, Panmao
    JOURNAL OF METEOROLOGICAL RESEARCH, 2022, 36 (01) : 37 - 48