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Title
Japanese: 
English:A complementary method to Fuzzy C Means in similar tropical cyclone identification for predicting induced rainfall in Western North Pacific 
Author
Japanese: HOKSON Jose Angelo Arocena, 鼎 信次郎.  
English: Hokson Jose Angelo, 鼎 信次郎.  
Language English 
Journal/Book name
Japanese:水文・水資源学会／日本水文科学会 2023年度研究発表会 
English: 
Volume, Number, Page        
Published date Jan. 2024 
Publisher
Japanese:水文・水資源学会 
English: 
Conference name
Japanese:水文・水資源学会/日本水文科学会 2023年度研究発表会 
English: 
Conference site
Japanese:長崎 
English:Nagasaki 
Official URL https://www.jstage.jst.go.jp/article/jshwr/36/0/36_66/_article/-char/en
 
DOI https://doi.org/10.11520/jshwr.36.0_66
Abstract This paper proposes a novel method to improve the accuracy of tropical cyclone (TC) rainfall prediction in the Western North Pacific (WNP) by complementing the Fuzzy C Means (FCM) approach for identifying similar TCs. filters to refine the list of TCs identified by FCM, which are then used as ensemble members for rainfall averaging. Unlike traditional approaches that use a fixed number of members for all TC targets, our method produces a varying number of members depending on the similarity of the TCs. rely on FCM, indicating its potential to enhance the accuracy of TC rainfall prediction in the WNP region.

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