Data mining for teleconnections in global climate datasets | |
Xiaoping, Gao ; Kunqing, Xie ; Xingxing, Jin ; Xiaofeng, Lei | |
刊名 | data science journal |
2007 | |
DOI | 10.2481/dsj.6.S611 |
英文摘要 | Teleconnection is a linkage between two climate events that occur in widely separated regions of the globe on a monthly or longer timescale. In the past, statistical methods have been used to discover teleconnections. However, because of the overwhelming volume and high resolution of dataseis acquired by modern data acquisition systems, these methods are not sufficient. In this paper, we propose a novel approach to finding teleconnections in global climate datasets using data mining technologies. We present experiments on real datasets and find some interesting teleconnections, including well-known ones such as ENSO. The experiments indicate that our method is usable and efficient.; EI; 0; SUPPL.; S611-S619; 6 |
语种 | 英语 |
内容类型 | 期刊论文 |
源URL | [http://ir.pku.edu.cn/handle/20.500.11897/409776] |
专题 | 信息科学技术学院 |
推荐引用方式 GB/T 7714 | Xiaoping, Gao,Kunqing, Xie,Xingxing, Jin,et al. Data mining for teleconnections in global climate datasets[J]. data science journal,2007. |
APA | Xiaoping, Gao,Kunqing, Xie,Xingxing, Jin,&Xiaofeng, Lei.(2007).Data mining for teleconnections in global climate datasets.data science journal. |
MLA | Xiaoping, Gao,et al."Data mining for teleconnections in global climate datasets".data science journal (2007). |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论