Variations of Global Compound Temperature and Precipitation Events and Associated Population Exposure Projected by the CMIP6 Multi-Model Ensemble
文献类型：期刊论文
| 作者 | Yang, Yang1,3; Yue, Tianxiang1,2,3 |
| 刊名 | SUSTAINABILITY
 |
| 出版日期 | 2024-06-01 |
| 卷号 | 16期号:12页码:5007 |
| 关键词 | climate change compound extremes future global land CMIP6 |
| DOI | 10.3390/su16125007 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Compound climate events often pose greater harm to humans and society than single-variable climate issues. This study projects the temporal changes and spatial pattern evolution of four compound climate events (including warm-wet, warm-dry, cold-wet, and cold-dry) and the corresponding population exposure in global land under the shared socioeconomic pathway (SSP) 2-4.5 based on the Coupled Model Intercomparison Project phase 6 simulations. Results show the following: (1) The warm-wet event is significantly decreasing at a rate of 0.06 days per decade, while the cold-wet event is significantly increasing at a rate of 0.06 days per decade. The warm-dry event and cold-dry event show an upward trend but are not significant. (2) All four types of compound events will undergo mutations in the next 80 years, with the warm-dry event having the highest frequency of mutations. (3) West Asia is a high-risk area for warm-dry and cold-wet events. Northern Africa is a hot spot area for the warm-wet event, while Brazil is a hot spot area for the cold-dry event. (4) Areas with exposure levels (population under four compound climate events) of medium or higher are mainly distributed in East Asia, South Asia, and central Africa. When the population exposure exceeds 105 person day, the area of population exposure to compound events related to dry conditions is greater than that of compound events related to wet conditions. This study has guiding significance for understanding, identifying, analyzing, and preventing compound extreme climate events in the context of global warming. |
| WOS关键词 | HEAT-WAVE ; CLIMATE-CHANGE ; SOIL-MOISTURE ; MANN-KENDALL ; MORTALITY ; TESTS ; AUTOCORRELATION ; HETEROGENEITY ; EXTREMES ; DROUGHT |
| WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
| WOS记录号 | WOS:001256632800001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/206125]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Yue, Tianxiang |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 2.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China 3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Yang,Yue, Tianxiang. Variations of Global Compound Temperature and Precipitation Events and Associated Population Exposure Projected by the CMIP6 Multi-Model Ensemble[J]. SUSTAINABILITY,2024,16(12):5007. |
| APA | Yang, Yang,&Yue, Tianxiang.(2024).Variations of Global Compound Temperature and Precipitation Events and Associated Population Exposure Projected by the CMIP6 Multi-Model Ensemble.SUSTAINABILITY,16(12),5007. |
| MLA | Yang, Yang,et al."Variations of Global Compound Temperature and Precipitation Events and Associated Population Exposure Projected by the CMIP6 Multi-Model Ensemble".SUSTAINABILITY 16.12(2024):5007. |
入库方式： OAI收割
来源：地理科学与资源研究所
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