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.
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页数:13
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