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Reading: Data Mining for Teleconnections in Global Climate Datasets

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Research Papers

Data Mining for Teleconnections in Global Climate Datasets

Authors:

Xiaoping Gao ,

Center of Information Science, Peking University, Beijing, 100871, China
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Kunqing Xie,

Center of Information Science, Peking University, Beijing, 100871, China
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Xingxing Jin,

Center of Information Science, Peking University, Beijing, 100871, China
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Xiaofeng Lei

Center of Information Science, Peking University, Beijing, 100871, China
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Abstract

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 datasets 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.

DOI: http://doi.org/10.2481/dsj.6.S611
How to Cite: Gao, X. et al., (2007). Data Mining for Teleconnections in Global Climate Datasets. Data Science Journal. 6, pp.S611–S619. DOI: http://doi.org/10.2481/dsj.6.S611
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Published on 05 Oct 2007.
Peer Reviewed

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