Identification and quantification of compound extreme climatic events considering spatial-temporal proximity effect
文献类型：期刊论文
| 作者 | Zhao, Zheng1,2,4; Lan, Hengxing2,3; Li, Langping2,4; Ouyang, Chaojun1,4; Zhao, Guanhua2,4 |
| 刊名 | JOURNAL OF HYDROLOGY
 |
| 出版日期 | 2025-12-01 |
| 卷号 | 663页码:134327 |
| 关键词 | Compound events Extreme climate Spatial-temporal proximity Classification Open software |
| ISSN号 | 0022-1694 |
| DOI | 10.1016/j.jhydrol.2025.134327 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | The spatial-temporal proximity effect in compound extreme climatic events refers to the interaction or cooccurrence (e.g., concurrent or sequential) of two or more extreme climatic events across spatial and temporal scales. The effect plays a critical role in shaping the types, regional variations, and spatiotemporal patterns of compound events. While concurrent compound events, without considering spatial-temporal proximity, have been widely investigated, other combinations and their associated impacts remain poorly understood. In this study, we propose a general framework of compound events considering spatial-temporal proximity effect. This framework includes four types: spatiotemporal overlap, spatial proximity, temporal proximity, and spatiotemporal proximity. We also present a methodology and develop open-access software for the classification, identification, and quantification of compound events. The proposed methodology is applied to identify hotspots and interannual variations in each type of compound heat-precipitation events in China based on the climate simulations from the Coupled Model Intercomparison Project Phase 6. The results reveal that the four compound event types exhibit similar spatial-temporal patterns, with high-frequency zones concentrated in the QinghaiTibetan Plateau and the middle-lower Yangtze River plains, averaging 26 occurrences annually. Furthermore, an amplification effect is observed in the identification of compound events, where temporal proximity exerts a stronger influence than spatial proximity. Specifically, compound events incorporating spatiotemporal proximity are characterized by the larger geographic extent, longer duration, and greater intensity, followed by those with temporal proximity, spatial proximity, and spatiotemporal overlap, respectively. Strong regional-scale variations in compound events are associated with the sequence of extreme events, event types, and preconditioning environmental factors. These findings highlight the importance of spatial-temporal proximity in modulating compound events, as variations in spatial-temporal scales can significantly influence related risks, such as those associated with temporal proximity. |
| URL标识 | 查看原文 |
| WOS关键词 | PRECIPITATION EXTREMES ; STORM-SURGE ; TEMPERATURE ; CHINA ; WIND ; CIRCULATION ; INDEXES ; MODEL ; RISK |
| WOS研究方向 | Engineering ; Geology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001589353400004 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/217529]  |
| 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 | Lan, Hengxing; Li, Langping |
| 作者单位 | 1.Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Engn Resilience, Chengdu 610299, Peoples R China; 2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 3.Changan Univ, Coll Geol Engn & Geomat, Xian 710054, Peoples R China; 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhao, Zheng,Lan, Hengxing,Li, Langping,et al. Identification and quantification of compound extreme climatic events considering spatial-temporal proximity effect[J]. JOURNAL OF HYDROLOGY,2025,663:134327. |
| APA | Zhao, Zheng,Lan, Hengxing,Li, Langping,Ouyang, Chaojun,&Zhao, Guanhua.(2025).Identification and quantification of compound extreme climatic events considering spatial-temporal proximity effect.JOURNAL OF HYDROLOGY,663,134327. |
| MLA | Zhao, Zheng,et al."Identification and quantification of compound extreme climatic events considering spatial-temporal proximity effect".JOURNAL OF HYDROLOGY 663(2025):134327. |
入库方式： OAI收割
来源：地理科学与资源研究所
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