Open AccessA pan-South-America assessment of avoided exposure to dangerous extreme precipitation by limiting to 1.5 °C warming
Author(s) -
Sihan Li,
Friederike E. L. Otto,
Luke J. Harrington,
Sarah Sparrow,
David Wallom
Publication year - 2020
Publication title -
environmental research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.37
H-Index - 124
ISSN - 1748-9326
DOI - 10.1088/1748-9326/ab50a2
Subject(s) - precipitation , climatology , environmental science , population , limiting , climate change , monsoon , hazard , climate model , global warming , geography , meteorology , demography , ecology , mechanical engineering , sociology , engineering , biology , geology
This study investigates the future changes in dangerous extreme precipitation event in South America, using the multi-model ensemble simulations from the HAPPI experiments. The risks of dangerous extreme precipitation events occurrence, and changes in area and population exposure are quantified. Our results show that the likelihood of dangerous extreme precipitation increases in large parts of South America under future warming; changes in extreme precipitation are nonlinear with increasing global mean temperatures; and exposure plays a minor role compared to hazard. In all the models, limiting warming to 1.5 ° C as opposed to 2 ° C shows a general reduction in both area and population exposure to dangerous extreme precipitation throughout South America. The southeast region of South America exhibited the highest multi-model median percentage of avoided area exposure at 13.3%, while the southwest region shows the lowest percentage at 3.1%. Under all shared socioeconomic pathways, South America Monsoon region and southern South America region yielded the highest multi-model median percentage of avoided population exposure (>10%). The strong spatial heterogeneity in projected changes in all the models highlights the importance of considering location-specific information when designing adaptation measures and investing in disaster preparedness.