Impacts and socioeconomic exposures of global extreme precipitation events in 1.5 and 2.0 °C warmer climates

被引:65
|
作者
Shi, Xinyan [1 ,2 ]
Chen, Jie [1 ,2 ]
Gu, Lei [1 ,2 ]
Xu, Chong-Yu [3 ]
Chen, Hua [1 ,2 ]
Zhang, Liping [1 ,2 ]
机构
[1] Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China
[2] Wuhan Univ, Hubei Key Lab Water Syst Sci Sponge City Construc, Wuhan, Peoples R China
[3] Univ Oslo, Dept Geosci, Oslo, Norway
基金
中国国家自然科学基金;
关键词
Global warming; 1.5 degrees C and 2.0 degrees C warming; Global climate models; Extreme precipitation events; Exposure; Economy and population; HEAVY-PRECIPITATION; BIAS CORRECTION; FLOOD RISK; MODEL; TEMPERATURE; CHINA; RAINFALL; INCREASE; IDENTIFICATION; PERSPECTIVE;
D O I
10.1016/j.scitotenv.2020.142665
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The rise of global mean temperature has aroused wide attention in scientific communities. To reduce the negative climate change impact, the United Union's Intergovernmental Panel on Climate Change (IPCC) set a goal to limit global warming to 1.5 degrees C relative to pre-industrial levels based on the previous 2.0 degrees C target in October 2018. To understand the necessity of more stringent emission reduction, this study investigates the impacts of additional 0.5 degrees C global warming from 1.5 to 2.0 degrees C on global extreme precipitation, and especially its socioeconomic consequences. The extreme precipitation is represented by extreme precipitation frequency (R95pF), extreme precipitation percentage (R95pT), and maximum one-day precipitation (RX1day) as indicators, calculated based on daily precipitation data extracted from 29 Coupled Model Inter-comparison Project Phase 5 (CMIP5) global climate models (GCMs) under two representative concentration pathways: RCP4.5 and RCP8.5. The exposures of economy and population to extreme precipitation events are also computed and compared for two warming levels by using the Shared Socioeconomic Pathways (SSPs). The results show that most regions in the world are likely to suffer from increasing extreme precipitation hazards in a warming climate, with ascending gross domestic product (GDP) and population being exposed to extreme dangers with an additional 0.5 degrees C warming. R95pT and RX1day are projected to increase overwhelmingly throughout all continents, directly leading to intensified precipitation extremes and flash floods. In middle and low latitudes, the annual total wet-day precipitation (PRCPTOT) shows a rich-get-richer trend and R95p1 decreases, which will reinforce the intensified trend of the magnitude of extreme precipitation. The exposures of GDP and population in regions with extensive exposure to extreme precipitation events at the 1.5 degrees C warming increase more remarkably with the additional 0.5 degrees C warming. In particular, Asia and Africa show lager sensitivity to global warming than other regions. These findings could provide information for mitigation and adaptation policymaking. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Projected increases in magnitude and socioeconomic exposure of global droughts in 1.5 and 2 °C warmer climates
    Gu, Lei
    Chen, Jie
    Yin, Jiabo
    Sullivan, Sylvia C.
    Wang, Hui-Min
    Guo, Shenglian
    Zhang, Liping
    Kim, Jong-Suk
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2020, 24 (01) : 451 - 472
  • [2] Additional risk in extreme precipitation in China from 1.5 °C to 2.0 °C global warming levels
    Li, Wei
    Jiang, Zhihong
    Zhang, Xuebin
    Li, Laurent
    Sun, Ying
    SCIENCE BULLETIN, 2018, 63 (04) : 228 - 234
  • [3] Double increase in precipitation extremes across China in a 1.5 °C/2.0 °C warmer climate
    Wang, Gang
    Zhang, Qiang
    Yu, Huiqian
    Shen, Zexi
    Sun, Peng
    SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 746
  • [4] Impacts of global warming of 1.5 °C and 2.0 °C on precipitation patterns in China by regional climate model (COSMO-CLM)
    Sun, Hemin
    Wang, Anqian
    Zhai, Jianqing
    Huang, Jinlong
    Wang, Yanjun
    Wen, Shanshan
    Zeng, Xiaofan
    Su, Buda
    ATMOSPHERIC RESEARCH, 2018, 203 : 83 - 94
  • [5] Population and GDP Exposure to Extreme Precipitation Events on Loess Plateau under the 1.5 °C Global Warming Level
    Ta, Zhijie
    Li, Kaiyu
    Han, Hongzhu
    Jin, Qian
    ATMOSPHERE, 2022, 13 (09)
  • [6] Amplifying population exposure of extreme precipitation across Yellow River Basin, China at 1.5° C, 2.0° C and 3.0° C global warming
    Yao, Rui
    Ma, Zice
    Sun, Peng
    Ge, Chenhao
    NATURAL HAZARDS, 2025, : 8975 - 8994
  • [7] Global implications of 1.5°C and 2°C warmer worlds on extreme river flows
    Paltan, Homero
    Allen, Myles
    Haustein, Karsten
    Fuldauer, Lena
    Dadson, Simon
    ENVIRONMENTAL RESEARCH LETTERS, 2018, 13 (09):
  • [8] Risks of seasonal extreme rainfall events in Bangladesh under 1.5 and 2.0 ○C warmer worlds - how anthropogenic aerosols change the story
    Rimi, Ruksana H.
    Haustein, Karsten
    Barbour, Emily J.
    Sparrow, Sarah N.
    Li, Sihan
    Wallom, David C. H.
    Allen, Myles R.
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2022, 26 (22) : 5737 - 5756
  • [9] Projected changes in extreme climate events over Africa under 1.5°C, 2.0°C and 3.0°C global warming levels based on CMIP6 projections
    Ayugi, Brian Odhiambo
    Chung, Eun-Sung
    Zhu, Huanhuan
    Ogega, Obed M.
    Babousmail, Hassen
    Ongoma, Victor
    ATMOSPHERIC RESEARCH, 2023, 292
  • [10] Extreme precipitation over East Asia under 1.5°C and 2°C global warming targets: a comparison of stabilized and overshoot projections
    Li, Donghuan
    Zhou, Tianjun
    Zhang, Wenxia
    ENVIRONMENTAL RESEARCH COMMUNICATIONS, 2019, 1 (08):