Meteorological flash droughts risk projections based on CMIP6 climate change scenarios

被引:39
|
作者
Sreeparvathy, Vijay [1 ,2 ]
Srinivas, V. V. [1 ,2 ,3 ]
机构
[1] Indian Inst Sci, Dept Civil Engn, Bangalore 560012, Karnataka, India
[2] Indian Inst Sci, Interdisciplinary Ctr Water Res ICWaR, Bangalore 560012, Karnataka, India
[3] Indian Inst Sci, Divecha Ctr Climate Change, Bangalore 560012, Karnataka, India
关键词
PARIS AGREEMENT;
D O I
10.1038/s41612-022-00302-1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Meteorological flash droughts (MFDs) are sub-seasonal-to-seasonal drought phenomena characterized by rapid onset/intensification. This study assesses the changes in trends and hotspot regions of MFDs for the present and five future CMIP6 SSP forcing scenarios (SSP-FS) at global-, continental- and regional-scales. Analysis with 12 GCMs indicates that globally, frequency, duration and severity of MFDs are projected to increase similar to 20-50%, 20-58%, and 26-62%, respectively, with the highest occurrence probability during the summer season. The MFD hotspot regions appeared prominent in arid and semi-arid zones. MFD exposure risk is projected to exceed similar to 1.5 folds in most continents, with the highest risk in the Indian sub-continent. Furthermore, in Europe and South America, which are currently less impacted by MFDs, a considerable increase in hotspot regions (similar to 122-127%) is projected under the warmest SSP-FS. The LULC-classes and elevation range most vulnerable to MFDs, and regional potential hydrometeorological drivers that trigger the development of MFDs are identified.
引用
收藏
页数:17
相关论文
共 50 条
  • [21] How does the CMIP6 ensemble change the picture for European climate projections?
    Palmer, T. E.
    Booth, B. B. B.
    McSweeney, C. F.
    ENVIRONMENTAL RESEARCH LETTERS, 2021, 16 (09)
  • [22] Bioclimatic change as a function of global warming from CMIP6 climate projections
    Sparey, Morgan
    Cox, Peter
    Williamson, Mark S.
    BIOGEOSCIENCES, 2023, 20 (02) : 451 - 488
  • [23] Climatic zoning of yerba mate and climate change projections: a CMIP6 approach
    Guilherme Botega Torsoni
    Lucas Eduardo de Oliveira Aparecido
    Pedro Antonio Lorençone
    João Antonio Lorençone
    Rafael Fausto de Lima
    Glauco de Souza Rolim
    International Journal of Biometeorology, 2024, 68 : 979 - 990
  • [24] Climate change projections in temperature and precipitation using cmip6 in Central Mexico
    Cruz-Gonzalez, Alejandro
    Arteaga-Ramirez, Ramon
    Soria-Ruiz, Jesus
    Sanchez-Cohen, Ignacio
    Monterroso-Rivas, Alejandro Ismael
    Quevedo-Nolasco, Abel
    THEORETICAL AND APPLIED CLIMATOLOGY, 2025, 156 (02)
  • [25] Analysis of climate change scenarios using CMIP6 models in Pernambuco, Brazil
    Araujo, Diego Cezar dos Santos
    Montenegro, Suzana Maria Gico Lima
    da Silva, Samara Fernanda
    de Farias, Vanine Elane Menezes
    Rodrigues, Arivania Bandeira
    REVISTA BRASILEIRA DE CIENCIAS AMBIENTAIS, 2024, 59
  • [26] Machine learning-based streamflow forecasting using CMIP6 scenarios: Assessing performance and improving hydrological projections and climate change
    Kartal, Veysi
    HYDROLOGICAL PROCESSES, 2024, 38 (06)
  • [27] Analysis of climate change scenarios using CMIP6 models in Pernambuco, Brazil
    Araujo, Diego Cezar dos Santos
    Montenegro, Suzana Maria Gico Lima
    da Silva, Samara Fernanda
    de Farias, Vanine Elane Menezes
    Rodrigues, Arivania Bandeira
    REVISTA BRASILEIRA DE CIENCIAS AMBIENTAIS, 2024, 59
  • [28] Predicting climate change impacts on potential worldwide distribution of fall armyworm based on CMIP6 projections
    Ramasamy, Maruthadurai
    Das, Bappa
    Ramesh, R.
    JOURNAL OF PEST SCIENCE, 2022, 95 (02) : 841 - 854
  • [29] Predicting climate change impacts on potential worldwide distribution of fall armyworm based on CMIP6 projections
    Maruthadurai Ramasamy
    Bappa Das
    R. Ramesh
    Journal of Pest Science, 2022, 95 : 841 - 854
  • [30] CMIP6⁃based meteorological drought characteristic study under climate change in the Hanjiang River Basin
    Wang, Lei
    Zeng, Sidong
    Yang, Linhan
    Huang, Shanshan
    Mao, Wenyao
    Xia, Jun
    Water Resources Protection, 2024, 40 (05) : 39 - 45