The Analysis of Tropical Cyclone Tracks in the Western North Pacific through Data Mining. Part I: Tropical Cyclone Recurvature
The Analysis of Tropical Cyclone Tracks in the Western North Pacific through Data Mining. Part I: Tropical Cyclone Recurvature
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DOI：
10.1175/jamc-d-12-045.1
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发表时间：
2013-06
影响因子：
3
通讯作者：
Wei Zhang;Y. Leung;J. Chan
中科院分区：
文献类型：
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作者：
Wei Zhang;Y. Leung;J. Chan
本文是使用数据挖掘方法分析西北太平洋热带气旋(TC)移动的两篇系列论文中的第一篇。第一部分揭示了TCS倾向于复发的条件，第二部分揭示了导致TCS登陆的条件。本文第一部分对南中国海和北太平洋西部热带气旋进行了详细的研究。调查的重点是揭开隐藏在TC数据中的TC递归规则。历史TC轨迹数据库包括循环TC和直线移动TC。影响热带气旋下沉的潜在参数可分为三类：大尺度环流、环流周围的环流和表征气旋的变量。应用树构建算法C4.5对下行和直线移动的TCS进行分类。测量大尺度环流形势的参数和表征热带气旋的参数在建立分类树中起着重要作用。总共有18条规则...
AbstractThis paper is the first of a two-part series of papers that employs the data-mining approach to analyze tropical cyclone (TC) movement in the western North Pacific Ocean. Part I unravels conditions under which TCs tend to recurve, and Part II uncovers conditions leading to TCs making landfall. Here in Part I, a detailed study is carried out into TC recurvature over the South China Sea and western North Pacific. The investigation focuses on the unraveling of rules governing TC recurvature hidden in TC data. The historical TC track database comprises recurving TCs and straight movers. Potential parameters affecting TC recurvature are categorized into three groups: large-scale circulation, circulations surrounding TCs, and variables characterizing TCs. The tree construction algorithm, C4.5, is applied to classify recurving and straight-moving TCs. Parameters measuring large-scale circulation patterns and characterizing TCs play significant roles in building the classification tree. Altogether, 18 rul...