首页|CLASSIFYING WESTERN NORTH PACIFIC TROPICAL CYCLONES BY PHYSICAL INDEX SYSTEM

CLASSIFYING WESTERN NORTH PACIFIC TROPICAL CYCLONES BY PHYSICAL INDEX SYSTEM

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The classification of tropical cyclones (TCs) is significant to obtaining their temporal and spatial variation characteristics in the context of dramatic-changing global climate. A new TCs clustering method by using K-means clustering algorithm with nine physical indexes is proposed in the paper. Each TC is quantified into an 11-dimensional vector concerning trajectory attributes, time attributes and power attributes. Two recurving clusters (cluster A and E) and three straight-moving clusters (cluster B, C and D) are categorized from the TC best-track dataset of the western North Pacific (WNP) over the period of 1949-2013, and TCs' properties have been analyzed and compared in different aspects. The calculation results of coefficient variation (CV) and Nash-Sutcliffe efficiency (NSE) reveal a high level of intra-cluster cohesiveness and inter-cluster divergence, which means that the physical index system could serve as a feasible method of TCs classification. The clusters are then analyzed in terms of trajectory, lifespan, seasonality, trend, intensity and Power Dissipation Index (PDI). The five classified clusters show distinct features in TCs' temporal and spatial development discipline. Moreover, each cluster has its individual motion pattern, variation trend, influence region and impact degree.

tropical cyclonephysical indexK-means clusteringNash-Sutcliffe efficiencyinter-cluster divergenceintra-cluster cohesivenesspower dissipation index

YAN Dong-yi (颜东谊)、XU Kui (徐奎)、MA Chao (马超)、MA Man-cang (马满仓)

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State Key Laboratory of Hydraulics Engineering Simulation and Safety, Tianjin University, Tianjin 300072 China

Foundation item: National Key Research and Development Program of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaTianjin Research Program of Application Foundation and Advanced Technology

2016YFC040190351722906516791595150917915JCYBTC21800

2018

10.16555/j.1006-8775.2018.02.003

热带气象学报(英文版)
中国气象局广州热带海洋气象研究所

热带气象学报(英文版)

SCI
影响因子：0.169
ISSN：1006-8775
年,卷(期)：2018.24(2)
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