Climate change hotspots in the CMIP5 global climate model ensemble

被引:434
|
作者
Diffenbaugh, Noah S. [1 ,2 ]
Giorgi, Filippo [3 ]
机构
[1] Stanford Univ, Dept Environm Earth Syst Sci, Stanford, CA 94305 USA
[2] Stanford Univ, Woods Inst Environm, Stanford, CA 94305 USA
[3] Abdus Salam Int Ctr Theoret Phys, Earth Syst Phys Sect, Trieste, Italy
基金
美国国家科学基金会;
关键词
VELOCITY; IMPACTS; HEAT;
D O I
10.1007/s10584-012-0570-x
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We use a statistical metric of multi-dimensional climate change to quantify the emergence of global climate change hotspots in the CMIP5 climate model ensemble. Our hotspot metric extends previous work through the inclusion of extreme seasonal temperature and precipitation, which exert critical influence on climate change impacts. The results identify areas of the Amazon, the Sahel and tropical West Africa, Indonesia, and the Tibetan Plateau as persistent regional climate change hotspots throughout the 21st century of the RCP8.5 and RCP4.5 forcing pathways. In addition, areas of southern Africa, the Mediterranean, the Arctic, and Central America/western North America also emerge as prominent regional climate change hotspots in response to intermediate and high levels of forcing. Comparisons of different periods of the two forcing pathways suggest that the pattern of aggregate change is fairly robust to the level of global warming below approximately 2 A degrees C of global warming (relative to the late-20th-century baseline), but not at the higher levels of global warming that occur in the late-21st-century period of the RCP8.5 pathway, with areas of southern Africa, the Mediterranean, and the Arctic exhibiting particular intensification of relative aggregate climate change in response to high levels of forcing. Although specific impacts will clearly be shaped by the interaction of climate change with human and biological vulnerabilities, our identification of climate change hotspots can help to inform mitigation and adaptation decisions by quantifying the rate, magnitude and causes of the aggregate climate response in different parts of the world.
引用
收藏
页码:813 / 822
页数:10
相关论文
共 50 条
  • [1] Climate change hotspots in the CMIP5 global climate model ensemble
    Noah S. Diffenbaugh
    Filippo Giorgi
    Climatic Change, 2012, 114 : 813 - 822
  • [2] Climate Change Hotspots Identification in China through the CMIP5 Global Climate Model Ensemble
    Gu, Huanghe
    Yu, Zhongbo
    Wang, Jigan
    Ju, Qin
    Yang, Chuanguo
    Fan, Chuanhao
    ADVANCES IN METEOROLOGY, 2014, 2014
  • [3] A global perspective on CMIP5 climate model biases
    Wang, Chunzai
    Zhang, Liping
    Lee, Sang-Ki
    Wu, Lixin
    Mechoso, Carlos R.
    NATURE CLIMATE CHANGE, 2014, 4 (03) : 201 - 205
  • [4] A global perspective on CMIP5 climate model biases
    Wang C.
    Zhang L.
    Lee S.-K.
    Wu L.
    Mechoso C.R.
    Nature Climate Change, 2014, 4 (3) : 201 - 205
  • [5] Evaluation of a CMIP5 derived dynamical global wind wave climate model ensemble
    Hemer, Mark A.
    Trenham, ClaireE.
    OCEAN MODELLING, 2016, 103 : 190 - 203
  • [6] Climate change hotspots over South America: from CMIP3 to CMIP5 multi-model datasets
    Roger Rodrigues Torres
    Jose Antonio Marengo
    Theoretical and Applied Climatology, 2014, 117 : 579 - 587
  • [7] Climate change hotspots over South America: from CMIP3 to CMIP5 multi-model datasets
    Torres, Roger Rodrigues
    Marengo, Jose Antonio
    THEORETICAL AND APPLIED CLIMATOLOGY, 2014, 117 (3-4) : 579 - 587
  • [8] Hydrological response to climate change of the Brahmaputra basin using CMIP5 general circulation model ensemble
    Islam, A. K. M. Saiful
    Paul, Supria
    Mohammed, Khaled
    Billah, Mutasim
    Fahad, Md Golam Rabbani
    Hasan, Md Alfi
    Islam, G. M. Tarekul
    Bala, Sujit Kumar
    JOURNAL OF WATER AND CLIMATE CHANGE, 2018, 9 (03) : 434 - 448
  • [9] Global Lightning Parameterization from CMIP5 Climate Model Output
    Magi, Brian I.
    JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2015, 32 (03) : 434 - 452
  • [10] The Impact of Climate Change on China's Crop Production: a CMIP5 Ensemble Assessment
    Gao, Chaochao
    2012 FIRST INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS), 2012, : 208 - 212