| 三个全球气象灾害数据库对比及展望 |
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| 引用本文： | 王毅,杨舒楠,张立生,曹勇,尹宜舟.三个全球气象灾害数据库对比及展望[J].气候变化研究进展,2022,18(2):253-260. |
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| 作者姓名： | 王毅 杨舒楠 张立生 曹勇 尹宜舟 |
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| 作者单位： | 1.中国气象局国家气象中心,北京 1000812 中国气象局国家气候中心,北京 100081 |
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| 基金项目： | 国家重点研发计划(2020YFE0201900);国家自然科学基金项目(41975100);国家重点研发计划(2017YFC1502004) |
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| 摘 要： | 针对气象相关灾害,对3个主要全球灾害数据库进行了概述,包括比利时鲁汶大学国家灾害流行病研究中心的紧急灾害数据库（EM-DAT)、德国慕尼黑再保险公司的自然灾害数据库（NatCat）和瑞士再保险公司的数据库（Sigma),比较了各灾害数据库在建设目的、收录标准及灾害种类划分上的差异。EM-DAT由于能够访问下载,在国际上应用最广泛。NatCat和Sigma在灾害经济损失评估方面更具优势。全球灾害数据库对早期历史灾害事件及欠发达地区的灾害事件收录存在一定的偏差,对一些小型灾害反映不足。未来需要进一步提升灾害数据的可靠性和精细度,完善灾害数据库的标准规范,加强多种灾害数据库的交叉校验,为研究气候变化及人类活动与气象灾害之间的联系奠定扎实的数据基础。
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| 关 键 词： | 气象灾害 全球数据库 灾害损失 极端天气 |
Comparative analysis and outlook of three global databases for meteorological disasters |
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| WANG Yi,YANG Shu-Nan,ZHANG Li-Sheng,Cao Yong,YIN Yi-Zhou.Comparative analysis and outlook of three global databases for meteorological disasters[J].Advances in Climate Change,2022,18(2):253-260. |
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| Authors: | WANG Yi YANG Shu-Nan ZHANG Li-Sheng Cao Yong YIN Yi-Zhou |
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| Institution: | 1.National Meteorological Center, China Meteorological Administration, Beijing 100081, China2 National Climate Center, China Meteorological Administration, Beijing 100081, China |
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| Abstract: | This paper reviews three global disaster databases focused on meteorological disasters including Emergency Events Database (EM-DAT) of Belgium, NatCat of Munich Re (NatCat) and Sigma of Swiss Re (Sigma). The differences in purposes, criteria and classification of disaster types across global databases are compared. EM-DAT is mostly used globally due to its free accessibility while NatCat and Sigma are more advantageous on economic loss assessment. The global disaster databases have some bias in the collection of early historical disasters and disasters in undeveloped areas as well as ignoring some small-scale disasters. In the future, it is necessary to further improve the reliability and fineness of disaster data, the standards and specifications of databases, and strengthen the cross-checking of multiple disaster databases in order to lay a solid foundation of data for studying the links between climate change, human activities and meteorological disasters. |
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| Keywords: | Meteorological disasters Global database Disaster loss Extreme weather |
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