CETD, a global compound events detection and visualisation toolbox and dataset
文献类型：期刊论文
| 作者 | Yin, Cong4,5,6; Ting, Mingfang3,5; Kornhuber, Kai2,5; Horton, Radley M.3,5; Yang, Yaping1,6; Jiang, Yelin5 |
| 刊名 | SCIENTIFIC DATA
 |
| 出版日期 | 2025-02-28 |
| 卷号 | 12期号:1页码:356 |
| DOI | 10.1038/s41597-025-04530-x |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Compound events (CEs) are attracting increased attention due to their significant societal and ecological impacts. However, their inherent complexity can pose challenges for climate scientists and practitioners, highlighting the need for a more approachable and intuitive framework for detecting and visualising CEs. Here, we introduce the Compound Events Toolbox and Dataset (CETD), which provides the first integrated, interactive, and extensible platform for CE detection and visualisation. Employing observations, reanalysis, and model simulations, CETD can quantify the frequency, duration, and severity of multiple CE types: multivariate, sequential, and concurrent events. It can analyse CEs often linked to severe impacts on human health, wildfires, and air pollution, such as hot-dry, wet-windy, and hot-dry-stagnation events. To validate the performance of CETD, we conduct statistical analyses for several high-impact events, such as the 2019 Australian wildfires and the 2022 European heatwaves. The accessibility and extensibility of CETD will benefit the broader community by enabling them to better understand and prepare for the risks and challenges posed by CEs in a warming world. |
| URL标识 | 查看原文 |
| WOS关键词 | EXTREME ; IDENTIFICATION ; PRECIPITATION ; MODEL ; RISK |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:001434950500002 |
| 出版者 | NATURE PORTFOLIO |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/213311]  |
| 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 | Yin, Cong; Yang, Yaping |
| 作者单位 | 1.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing, Peoples R China 2.Int Inst Appl Syst Anal IIASA, Laxenburg, Austria; 3.Columbia Univ, Columbia Climate Sch, New York, NY USA; 4.Univ Calif Merced, Sierra Nevada Res Inst, Merced, CA 95343 USA; 5.Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY 10964 USA; 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Yin, Cong,Ting, Mingfang,Kornhuber, Kai,et al. CETD, a global compound events detection and visualisation toolbox and dataset[J]. SCIENTIFIC DATA,2025,12(1):356. |
| APA | Yin, Cong,Ting, Mingfang,Kornhuber, Kai,Horton, Radley M.,Yang, Yaping,&Jiang, Yelin.(2025).CETD, a global compound events detection and visualisation toolbox and dataset.SCIENTIFIC DATA,12(1),356. |
| MLA | Yin, Cong,et al."CETD, a global compound events detection and visualisation toolbox and dataset".SCIENTIFIC DATA 12.1(2025):356. |
入库方式： OAI收割
来源：地理科学与资源研究所
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