State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China; Hubei Key Laboratory of Water System Science for Sponge City Construction, Wuhan University, Wuhan, China.
State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China; Hubei Key Laboratory of Water System Science for Sponge City Construction, Wuhan University, Wuhan, China.
Sci Total Environ. 2021 Apr 20;766:142665. doi: 10.1016/j.scitotenv.2020.142665. Epub 2020 Oct 23.
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 °C relative to pre-industrial levels based on the previous 2.0 °C target in October 2018. To understand the necessity of more stringent emission reduction, this study investigates the impacts of additional 0.5 °C global warming from 1.5 to 2.0 °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 °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 R95pF 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 °C warming increase more remarkably with the additional 0.5 °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.
全球平均气温的上升引起了科学界的广泛关注。为了减少气候变化的负面影响,联合国政府间气候变化专门委员会(IPCC)在 2018 年 10 月将全球变暖限制在相对于工业化前水平 1.5°C 的目标提高到 2.0°C。为了了解更严格的减排必要性,本研究探讨了从 1.5°C 增加到 2.0°C 的全球变暖 0.5°C 对全球极端降水的影响,特别是其社会经济后果。极端降水由极端降水频率(R95pF)、极端降水百分比(R95pT)和最大单日降水(RX1day)作为指标表示,基于从 29 个耦合模型互比较计划阶段 5(CMIP5)全球气候模式(GCMs)中提取的每日降水数据计算得出,在两种代表性浓度途径下:RCP4.5 和 RCP8.5。还通过使用共享社会经济途径(SSPs)计算和比较了两个升温水平下经济和人口对极端降水事件的暴露情况。结果表明,在变暖的气候下,世界上大多数地区都可能面临极端降水危害的增加,随着额外的 0.5°C 升温,国内生产总值(GDP)和人口面临的极端危险不断增加。R95pT 和 RX1day 预计将在所有大陆范围内压倒性地增加,直接导致降水极端事件的加剧和洪水泛滥。在中低纬度地区,年总湿日降水(PRCPTOT)呈贫富分化趋势,R95pF 减少,这将加强极端降水强度的加剧趋势。在 1.5°C 升温下,暴露于极端降水事件的地区的 GDP 和人口暴露量随着额外的 0.5°C 升温而增加得更为显著。特别是亚洲和非洲对全球变暖的敏感性比其他地区更大。这些发现可为缓解和适应政策制定提供信息。