Evaluation of Long-Term Temperature Trend and Variability in CMIP6 Multimodel Ensemble

被引:7
|
作者
Duan, Yanan [1 ]
Kumar, Sanjiv [1 ]
Kinter, James L. [2 ]
机构
[1] Auburn Univ, Sch Forestry & Wildlife Sci, Earth Syst Sci Program, Auburn, AL 36849 USA
[2] George Mason Univ, Ctr Ocean Land Atmosphere Studies, Fairfax, VA USA
关键词
CMIP6; global warming; internal variability; regional climate; Temperature trend; WARMING HOLE; CLIMATE; 20TH-CENTURY; PERSISTENCE; PRECIPITATION; EQUIFINALITY;
D O I
10.1029/2021GL093227
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
This study conducts a robust assessment of the Coupled Model Intercomparison Project Phase 6 to capture the observed temperature trends and variability at global and regional scales. The warming rate in the second half of the twentieth century (0.19 degrees C/decade) is twice as large as in the full analysis period (1901-2014; 0.10 degrees C/decade). Multidecadal climate variability results in considerable uncertainties in the regional temperature trend, but the multidecadal variability does not represent a statistically significant trend. Globally, the spatial pattern of trends is most similar among ensemble members of the same model, then among climate models, and the least similar between models and observations. The structural uncertainty and internal variability of climate models provide a range of temperature trends that generally encompass the regional scale observations. Some single model large ensembles also have variability comparable to the multimodel large ensemble, encompassing the regional scale observations.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Influence of stratosphere-troposphere exchange on long-term trends of surface ozone in CMIP6
    Li, Yetong
    Xia, Yan
    Xie, Fei
    Yan, Yingying
    ATMOSPHERIC RESEARCH, 2024, 297
  • [42] Long-term changes in tropospheric temperature in India: Insights from radiosonde measurements, reanalysis data and CMIP6 model projections
    Kumar, Rahul
    Kuttippurath, Jayanarayanan
    ATMOSPHERIC RESEARCH, 2024, 309
  • [43] Evaluation and multimodel projection of seasonal precipitation extremes over central Asia based on CMIP6 simulations
    Dike, Victor Nnamdi
    Lin, Zhaohui
    Fei, Kece
    Langendijk, Gaby S.
    Nath, Debashis
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2022, 42 (14) : 7228 - 7251
  • [44] Regional scaling of sea surface temperature with global warming levels in the CMIP6 ensemble
    Milovac, Josipa
    Iturbide, Maialen
    Fernandez, Jesus
    Gutierrez, Jose Manuel
    Diez-Sierra, Javier
    Jones, Richard G.
    CLIMATE DYNAMICS, 2024, 62 (07) : 6447 - 6465
  • [45] Indian Ocean Variability in the CMIP5 Multimodel Ensemble: The Basin Mode
    Du, Yan
    Xie, Shang-Ping
    Yang, Ya-Li
    Zheng, Xiao-Tong
    Liu, Lin
    Huang, Gang
    JOURNAL OF CLIMATE, 2013, 26 (18) : 7240 - 7266
  • [46] Regional Climate Sensitivity of Climate Extremes in CMIP6 Versus CMIP5 Multimodel Ensembles
    Seneviratne, Sonia I.
    Hauser, Mathias
    EARTHS FUTURE, 2020, 8 (09)
  • [47] Past to Future Drylands in China: A Multimodel Analysis Using CMIP6 Simulations
    Shi, Jiawen
    Tian, Zhiping
    Lang, Xianmei
    Jiang, Dabang
    JOURNAL OF CLIMATE, 2023, 36 (08) : 2735 - 2751
  • [48] Evaluation of Historical Simulations of CMIP6 Models for Temperature and Precipitation in Guatemala
    Rivera, Paris
    EARTH SYSTEMS AND ENVIRONMENT, 2023, 7 (01) : 43 - 65
  • [49] Evaluation of Historical Simulations of CMIP6 Models for Temperature and Precipitation in Guatemala
    Paris Rivera
    Earth Systems and Environment, 2023, 7 : 43 - 65
  • [50] Improving long-term prediction of terrestrial water storage through integration with CMIP6 decadal prediction
    Zhu, Enda
    Wang, Yaqiang
    Zhao, Yan
    Yuan, Xing
    ATMOSPHERIC RESEARCH, 2025, 313