Occurrence and hotspots of multivariate and temporally compounding events in China from 1961 to 2020
文献类型:期刊论文
作者 | Zong, Xuezheng2,3; Yin, Yunhe3; Yin, Mijia2,3; Hou, Wenjuan3; Deng, Haoyu3; Cui, Tong1 |
刊名 | NPJ CLIMATE AND ATMOSPHERIC SCIENCE
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出版日期 | 2023-10-23 |
卷号 | 6期号:1页码:11 |
ISSN号 | 2397-3722 |
DOI | 10.1038/s41612-023-00491-3 |
通讯作者 | Yin, Yunhe(yinyh@igsnrr.ac.cn) ; Cui, Tong(cuitong@cma.gov.cn) |
英文摘要 | Due to the greater negative impacts on humans and ecosystems, compound events (CEs) have received increasing attention in China over recent decades. Previous studies mainly considered combinations of frequent hazards (e.g., extreme hot and dry events or heatwaves and extreme precipitation), potentially leading to an inadequate understanding of CEs hotspots, as the occurrence of CEs varies considerably with the diverse hazard types and their temporal sequence (multivariate compound events (MCEs) and temporally compounding events (TCEs)). Here, using daily meteorological observations from 1961 to 2020, we identify 44 CEs types considering the temporal sequences of various hazards from that period and explore their occurrence patterns in China. The results show that 12 CEs types related to extreme hot or dry events widely and frequently (return period < 1 year) occur in China, particularly compound extreme hot-dry-high fire risk events (return period of 0.2-0.4 yrs). Regarding the temporal sequences, MCEs and TCEs have similar spatial distributions, but the magnitudes of MCEs are approximately 1.1 to 2.6 times those of TCEs. This difference is obvious in CEs formed by multiple hazards (>2). By considering occurrence patterns (return period and magnitude), temporal trends, and correlations between different hazards, we determine that the southern humid regions of China are prone to CEs. These results provide a general reference on the national scale for identifying CEs hotspots where more climate action is needed in the future. |
WOS关键词 | CROWN FIRE INITIATION ; CLIMATE-CHANGE ; PRECIPITATION ; EXTREMES ; WILDFIRE ; DROUGHT ; RISK ; IMPACTS |
资助项目 | This study received financial support from National Natural Science Foundation of China (42377460), the Key Program of National Natural Science Foundation of China (41831174), and the Second Tibetan Plateau Scientific Expedition and Research Program (2019Q[42377460] ; National Natural Science Foundation of China[41831174] ; Key Program of National Natural Science Foundation of China[2019QZKK0403] ; Second Tibetan Plateau Scientific Expedition and Research Program |
WOS研究方向 | Meteorology & Atmospheric Sciences |
语种 | 英语 |
WOS记录号 | WOS:001086947800001 |
出版者 | NATURE PORTFOLIO |
资助机构 | This study received financial support from National Natural Science Foundation of China (42377460), the Key Program of National Natural Science Foundation of China (41831174), and the Second Tibetan Plateau Scientific Expedition and Research Program (2019Q ; National Natural Science Foundation of China ; Key Program of National Natural Science Foundation of China ; Second Tibetan Plateau Scientific Expedition and Research Program |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/199027] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Yin, Yunhe; Cui, Tong |
作者单位 | 1.China Meteorol Adm, Natl Climate Ctr, Beijing 100081, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Zong, Xuezheng,Yin, Yunhe,Yin, Mijia,et al. Occurrence and hotspots of multivariate and temporally compounding events in China from 1961 to 2020[J]. NPJ CLIMATE AND ATMOSPHERIC SCIENCE,2023,6(1):11. |
APA | Zong, Xuezheng,Yin, Yunhe,Yin, Mijia,Hou, Wenjuan,Deng, Haoyu,&Cui, Tong.(2023).Occurrence and hotspots of multivariate and temporally compounding events in China from 1961 to 2020.NPJ CLIMATE AND ATMOSPHERIC SCIENCE,6(1),11. |
MLA | Zong, Xuezheng,et al."Occurrence and hotspots of multivariate and temporally compounding events in China from 1961 to 2020".NPJ CLIMATE AND ATMOSPHERIC SCIENCE 6.1(2023):11. |
入库方式: OAI收割
来源:地理科学与资源研究所
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