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中南大学学报(英文版)

Journal of Central South University

Vol. 24    No. 10    October 2017

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Multi-scale regionalization based mining of spatio-temporal teleconnection patterns between anomalous sea and land climate events
XU Feng(徐枫)1, SHI Yan(石岩)2, 3, DENG Min(邓敏)1, GONG Jian-ya(龚健雅)2, 3, LIU Qi-liang(刘启亮)1, JIN Rui(金瑞)1

1. Department of Geo-informatics, Central South University, Changsha 410083, China; 2. State Key Laboratory of Information Engineering in Surveying (Mapping & Remote Sensing, Wuhan University), Wuhan 430079, China; 3. Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China

Abstract:Climate sequences can be applied to defining sensitive climate zones, and then the mining of spatio-temporal teleconnection patterns is useful for learning from the past and preparing for the future. However, scale-dependency in this kind of pattern is still not well handled by existing work. Therefore, in this study, the multi-scale regionalization is embedded into the spatio-temporal teleconnection pattern mining between anomalous sea and land climatic events. A modified scale-space clustering algorithm is first developed to group climate sequences into multi-scale climate zones. Then, scale variance analysis method is employed to identify climate zones at characteristic scales, indicating the main characteristics of geographical phenomena. Finally, by using the climate zones identified at characteristic scales, a time association rule mining algorithm based on sliding time windows is employed to discover spatio-temporal teleconnection patterns. Experiments on sea surface temperature, sea level pressure, land precipitation and land temperature datasets show that many patterns obtained by the multi-scale approach are coincident with prior knowledge, indicating that this method is effective and reasonable. In addition, some unknown teleconnection patterns discovered from the multi-scale approach can be further used to guide the prediction of land climate.

 

Key words: climate sequences; anomalous climatic events; spatio-temporal teleconnection patterns; multi-scale regionalization

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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