Regional Climate Sensitivity of Climate Extremes in CMIP6 Versus CMIP5 Multimodel Ensembles

被引:115
|
作者
Seneviratne, Sonia I. [1 ]
Hauser, Mathias [1 ]
机构
[1] Swiss Fed Inst Technol, Dept Environm Syst Sci, Inst Atmospher & Climate Sci, Zurich, Switzerland
关键词
CMIP6; CMIP5; regional climate sensitivity; climate extremes; climate models; climate projections; TEMPERATURE;
D O I
10.1029/2019EF001474
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We analyze projected changes in climate extremes (extreme temperatures and heavy precipitation) in the multimodel ensembles of the fifth and sixth Coupled Model Intercomparison Projects (CMIP5 and CMIP6). The results reveal close similarity between both ensembles in the regional climate sensitivity of the projected multimodel mean changes in climate extremes, that is, their projected changes as a function of global warming. This stands in contrast to widely reported divergences in global (transient and equilibrium) climate sensitivity in the two multimodel ensembles. Some exceptions include higher warming in the South America monsoon region, lower warming in Southern Asia and Central Africa, and higher increases in heavy precipitation in Western Africa and the Sahel region in the CMIP6 ensemble. The multimodel spread in regional climate sensitivity is found to be large in both ensembles. In particular, it contributes more to intermodel spread in projected regional climate extremes compared with the intermodel spread in global climate sensitivity in CMIP6. Our results highlight the need to consider regional climate sensitivity as a distinct feature of Earth system models and a key determinant of projected regional impacts, which is largely independent of the models' response in global climate sensitivity. Plain Language Summary Many articles analyze and compare global climate sensitivity in climate models, that is, how their global warming differs at a given level of CO2 concentrations. However, global warming is only one quantity affecting impacts. To assess human- and ecosystem-relevant impacts, it is essential to evaluate the regional climate sensitivity of climate models, that is, how their regional climate features differ at a given level of global warming. We analyze here regional climate sensitivity in the new multimodel ensemble that will underlie the conclusions of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC). This ensemble of model projections is called the "Sixth Coupled Model Intercomparison Project" or CMIP6. We find that differences in regional climate sensitivity between models in CMIP6 often contribute more to the uncertainty of regional extremes projections than the uncertainty in global mean warming between models. Overall, the regional climate sensitivity features in the CMIP6 models' projections ensemble are very similar to those of the prior ensemble (CMIP5), although the model ensembles have been highlighted to differ in their global climate sensitivity over the 21st century. Key Points Changes in climate extremes as a function of global warming are quasilinear and determine a "regional climate sensitivity" in CMIP5 and CMIP6 The regional climate sensitivity of climate extremes is found to be very similar in CMIP5 and CMIP6, unlike global climate sensitivity Model spread in regional climate sensitivity in CMIP6 contributes more to uncertainty of projected extremes than global climate sensitivity
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Climate extremes indices in the CMIP5 multimodel ensemble: Part 2. Future climate projections
    Sillmann, J.
    Kharin, V. V.
    Zwiers, F. W.
    Zhang, X.
    Bronaugh, D.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2013, 118 (06) : 2473 - 2493
  • [22] Comparison of monthly air and land surface temperature extremes simulated using CMIP5 and CMIP6 versions of the Beijing Climate Center climate model
    Nie, Suping
    Fu, Shiwen
    Cao, Weihua
    Jia, Xiaolong
    [J]. THEORETICAL AND APPLIED CLIMATOLOGY, 2020, 140 (1-2) : 487 - 502
  • [23] The Performance of CMIP6 Versus CMIP5 in Simulating Temperature Extremes Over the Global Land Surface
    Fan, Xuewei
    Miao, Chiyuan
    Duan, Qingyun
    Shen, Chenwei
    Wu, Yi
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2020, 125 (18)
  • [24] Comparison of monthly air and land surface temperature extremes simulated using CMIP5 and CMIP6 versions of the Beijing Climate Center climate model
    Suping Nie
    Shiwen Fu
    Weihua Cao
    Xiaolong Jia
    [J]. Theoretical and Applied Climatology, 2020, 140 : 487 - 502
  • [25] Projected Changes in Temperature and Precipitation Extremes in China by the CMIP5 Multimodel Ensembles
    Zhou, Botao
    Wen, Qiuzi Han
    Xu, Ying
    Song, Lianchun
    Zhang, Xuebin
    [J]. JOURNAL OF CLIMATE, 2014, 27 (17) : 6591 - 6611
  • [26] Changes to population-based emergence of climate change from CMIP5 to CMIP6
    Douglas, Hunter C.
    Harrington, Luke J.
    Joshi, Manoj
    Hawkins, Ed
    Revell, Laura E.
    Frame, David J.
    [J]. ENVIRONMENTAL RESEARCH LETTERS, 2023, 18 (01)
  • [27] ENSO phase-locking behavior in climate models: from CMIP5 to CMIP6
    Liu, Minghong
    Ren, Hong-Li
    Zhang, Renhe
    Ineson, Sarah
    Wang, Run
    [J]. ENVIRONMENTAL RESEARCH COMMUNICATIONS, 2021, 3 (03):
  • [28] Regional and seasonal intercomparison of CMIP3 and CMIP5 climate model ensembles for temperature and precipitation
    Kumar, Devashish
    Kodra, Evan
    Ganguly, Auroop R.
    [J]. CLIMATE DYNAMICS, 2014, 43 (9-10) : 2491 - 2518
  • [29] Regional climate projections of daily extreme temperatures in Argentina applying statistical downscaling to CMIP5 and CMIP6 models
    Balmaceda-Huarte, Rocio
    Olmo, Matias Ezequiel
    Bettolli, Maria Laura
    [J]. CLIMATE DYNAMICS, 2024, 62 (06) : 4997 - 5018
  • [30] Regional and seasonal intercomparison of CMIP3 and CMIP5 climate model ensembles for temperature and precipitation
    Devashish Kumar
    Evan Kodra
    Auroop R. Ganguly
    [J]. Climate Dynamics, 2014, 43 : 2491 - 2518