Quantifying risks avoided by limiting global warming to 1.5 or 2 °C above pre-industrial levels

被引:0
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作者
Rachel Warren
Oliver Andrews
Sally Brown
Felipe J. Colón-González
Nicole Forstenhäusler
David E. H. J. Gernaat
P. Goodwin
Ian Harris
Yi He
Chris Hope
Desmond Manful
Timothy J. Osborn
Jeff Price
Detlef Van Vuuren
Rebecca Mary Wright
机构
[1] University of East Anglia,Tyndall Centre for Climate Change Research, School of Environmental Sciences
[2] University of Bristol,School of Geographical Sciences
[3] Bournemouth University,Department of Life and Environment Sciences
[4] London School of Hygiene and Tropical Medicine,Department of Infectious Disease Epidemiology
[5] PBL Netherlands Environmental Assessment Agency,School of Ocean and Earth Sciences
[6] University of Southampton,Climatic Research Unit, School of Environmental Sciences
[7] University of East Anglia,Judge Business School
[8] University of Cambridge,Copernicus Institute for Sustainable Development
[9] Utrecht University,undefined
来源
Climatic Change | 2022年 / 172卷
关键词
Climate change; Mitigation; Paris Agreement; Avoided impacts; Economic damages; Fluvial flooding; Hotspots;
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学科分类号
摘要
The Paris Agreement aims to constrain global warming to ‘well below 2 °C’ and to ‘pursue efforts’ to limit it to 1.5 °C above pre-industrial levels. We quantify global and regional risk-related metrics associated with these levels of warming that capture climate change–related changes in exposure to water scarcity and heat stress, vector-borne disease, coastal and fluvial flooding and projected impacts on agriculture and the economy, allowing for uncertainties in regional climate projection. Risk-related metrics associated with 2 °C warming, depending on sector, are reduced by 10–44% globally if warming is further reduced to 1.5 °C. Comparing with a baseline in which warming of 3.66 °C occurs by 2100, constraining warming to 1.5 °C reduces these risk indicators globally by 32–85%, and constraining warming to 2 °C reduces them by 26–74%. In percentage terms, avoided risk is highest for fluvial flooding, drought, and heat stress, but in absolute terms risk reduction is greatest for drought. Although water stress decreases in some regions, it is often accompanied by additional exposure to flooding. The magnitude of the percentage of damage avoided is similar to that calculated for avoided global economic risk associated with these same climate change scenarios. We also identify West Africa, India and North America as hotspots of climate change risk in the future.
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