Arid
DOI10.1007/s11069-021-04768-9
Assessment of potential risks induced by increasing extreme precipitation under climate change
Huang, Hefei; Cui, Huijuan; Ge, Quansheng
通讯作者Cui, HJ (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Patterns & Simulat, Beijing 100101, Peoples R China.
来源期刊NATURAL HAZARDS
ISSN0921-030X
EISSN1573-0840
出版年2021
英文摘要A warmer climate has caused more extreme climate events like the heatwave or extreme precipitation, which has led to a large number of lives and economic losses. In this study, we adopt historical daily precipitation from rainfall estimates on a gridded network (REGEN) and future daily projections from 10 general circulation models (GCMs) to analyze the potential risks of extreme precipitation due to changes in the magnitude and frequency. We calculate the 10-year and 100-year return levels by fitting the partial duration series (PDS) data with the generalized Pareto (GP) distribution. The potential risks are quantified in two terms: by the ratio of the magnitude to the threshold and by the exceedance frequency comparing to the theoretical value. The results show that in the future, about 46% of the world may suffer from mid or high risk of change in extreme precipitation. Most regions show higher risk due to the increased frequency of extreme precipitation events under the RCP8.5 scenario. The high risk of humid regions mainly appears under the RCP8.5 scenario and is mainly driven by frequency change, while that of arid regions appears under both the scenarios and is driven by both the frequency and magnitude change. The tropical rainforest climate areas of South America (SA (N)), the tropical savanna or tropical wet monsoon and tropical dry areas of South Asia (SA), and the subarctic climate areas of Northern Asia (NOA) may suffer more risks from the view of both magnitude and frequency changes of extreme precipitation.
英文关键词Potential risk Extreme precipitation Threshold Climate change
类型Article ; Early Access
语种英语
收录类别SCI-E
WOS记录号WOS:000644382800001
WOS关键词DURATION SERIES METHODS ; ANNUAL MAXIMUM SERIES ; CHANGE PROJECTIONS ; HYDROLOGIC EVENTS ; SYSTEM MODEL ; RIVER-BASIN ; FLOOD RISK ; FREQUENCY ; RAINFALL ; TRENDS
WOS类目Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
WOS研究方向Geology ; Meteorology & Atmospheric Sciences ; Water Resources
来源机构中国科学院地理科学与资源研究所
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/352404
作者单位[Huang, Hefei; Cui, Huijuan; Ge, Quansheng] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Patterns & Simulat, Beijing 100101, Peoples R China; [Huang, Hefei; Ge, Quansheng] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
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GB/T 7714
Huang, Hefei,Cui, Huijuan,Ge, Quansheng. Assessment of potential risks induced by increasing extreme precipitation under climate change[J]. 中国科学院地理科学与资源研究所,2021.
APA Huang, Hefei,Cui, Huijuan,&Ge, Quansheng.(2021).Assessment of potential risks induced by increasing extreme precipitation under climate change.NATURAL HAZARDS.
MLA Huang, Hefei,et al."Assessment of potential risks induced by increasing extreme precipitation under climate change".NATURAL HAZARDS (2021).
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