Climate sensitivity indices and their relation with projected temperature change in CMIP6 models

被引:8
|
作者
Huusko, Linnea L. [1 ,2 ]
Bender, Frida A-M [1 ,2 ]
Ekman, Annica M. L. [1 ,2 ]
Storelvmo, Trude [3 ]
机构
[1] Stockholm Univ, Dept Meteorol, Stockholm, Sweden
[2] Stockholm Univ, Bolin Ctr Climate Res, Stockholm, Sweden
[3] Univ Oslo, Dept Geosci, Oslo, Norway
来源
ENVIRONMENTAL RESEARCH LETTERS | 2021年 / 16卷 / 06期
基金
瑞典研究理事会;
关键词
equilibrium climate sensitivity; transient climate response; temperature projection; DEPENDENCE;
D O I
10.1088/1748-9326/ac0748
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Equilibrium climate sensitivity (ECS) and transient climate response (TCR) are both measures of the sensitivity of the climate system to external forcing, in terms of temperature response to CO2 doubling. Here it is shown that, of the two, TCR in current-generation coupled climate models is better correlated with the model projected temperature change from the pre-industrial state, not only on decadal time scales but throughout much of the 21st century. For strong mitigation scenarios the difference persists until the end of the century. Historical forcing on the other hand has a significant degree of predictive power of past temperature evolution in the models, but is not relevant to the magnitude of temperature change in their future projections. Regional analysis shows a superior predictive power of ECS over TCR during the latter half of the 21st century in areas with slow warming, illustrating that although TCR is a better predictor of warming on a global scale, it does not capture delayed regional feedbacks, or pattern effects. The transient warming at CO2 quadrupling (T140) is found to be correlated with global mean temperature anomaly for a longer time than TCR, and it also better describes the pattern of regional temperature anomaly at the end of the century. Over the 20th century, there is a weak correlation between total forcing and ECS, contributing to, but not determining, the model agreement with observed warming. ECS and aerosol forcing in the models are not correlated.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Causes of Higher Climate Sensitivity in CMIP6 Models
    Zelinka, Mark D.
    Myers, Timothy A.
    Mccoy, Daniel T.
    Po-Chedley, Stephen
    Caldwell, Peter M.
    Ceppi, Paulo
    Klein, Stephen A.
    Taylor, Karl E.
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (01)
  • [2] Understanding Future Change of Global Monsoons Projected by CMIP6 Models
    Wang, Bin
    Jin, Chunhan
    Liu, Jian
    [J]. JOURNAL OF CLIMATE, 2020, 33 (15) : 6471 - 6489
  • [3] Projected Change in Temperature and Precipitation Over Africa from CMIP6
    Mansour Almazroui
    Fahad Saeed
    Sajjad Saeed
    M. Nazrul Islam
    Muhammad Ismail
    Nana Ama Browne Klutse
    Muhammad Haroon Siddiqui
    [J]. Earth Systems and Environment, 2020, 4 : 455 - 475
  • [4] Projected Change in Temperature and Precipitation Over Africa from CMIP6
    Almazroui, Mansour
    Saeed, Fahad
    Saeed, Sajjad
    Nazrul Islam, M.
    Ismail, Muhammad
    Klutse, Nana Ama Browne
    Siddiqui, Muhammad Haroon
    [J]. EARTH SYSTEMS AND ENVIRONMENT, 2020, 4 (03) : 455 - 475
  • [5] Climate change projections in Guatemala: temperature and precipitation changes according to CMIP6 models
    Paris Rivera
    [J]. Modeling Earth Systems and Environment, 2024, 10 : 2031 - 2049
  • [6] Climate change projections in Guatemala: temperature and precipitation changes according to CMIP6 models
    Rivera, Paris
    [J]. MODELING EARTH SYSTEMS AND ENVIRONMENT, 2024, 10 (02) : 2031 - 2049
  • [7] Evaluation of extreme precipitation climate indices and their projected changes for Brazil: From CMIP3 to CMIP6
    de Medeiros, Felipe Jeferson
    de Oliveira, Cristiano Prestrelo
    Avila-Diaz, Alvaro
    [J]. WEATHER AND CLIMATE EXTREMES, 2022, 38
  • [8] Change in Precipitation over the Tibetan Plateau Projected by Weighted CMIP6 Models
    Yin ZHAO
    Tianjun ZHOU
    Wenxia ZHANG
    Jian LI
    [J]. Advances in Atmospheric Sciences, 2022, 39 (07) : 1133 - 1150
  • [9] Change in Precipitation over the Tibetan Plateau Projected by Weighted CMIP6 Models
    Yin Zhao
    Tianjun Zhou
    Wenxia Zhang
    Jian Li
    [J]. Advances in Atmospheric Sciences, 2022, 39 : 1133 - 1150
  • [10] Change in Precipitation over the Tibetan Plateau Projected by Weighted CMIP6 Models
    Zhao, Yin
    Zhou, Tianjun
    Zhang, Wenxia
    Li, Jian
    [J]. ADVANCES IN ATMOSPHERIC SCIENCES, 2022, 39 (07) : 1133 - 1150