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Prediction of Tropical Cyclones’ Characteristic Factors on Hainan Island Using Data Mining Technology
Joint Authors
Gao, Wen-Sheng
Zhou, Ruixu
Zhang, Bowen
Fu, Xianggan
Chen, Qinzhu
Huang, Song
Liang, Yafeng
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-11-20
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
A new methodology combining data mining technology with statistical methods is proposed for the prediction of tropical cyclones’ characteristic factors which contain latitude, longitude, the lowest center pressure, and wind speed.
In the proposed method, the best track datasets in the years 1949~2012 are used for prediction.
Using the method, effective criterions are formed to judge whether tropical cyclones land on Hainan Island or not.
The highest probability of accurate judgment can reach above 79%.
With regard to TCs which are judged to land on Hainan Island, related prediction equations are established to effectively predict their characteristic factors.
Results show that the average distance error is improved compared with the National Meteorological Centre of China.
American Psychological Association (APA)
Zhou, Ruixu& Gao, Wen-Sheng& Zhang, Bowen& Fu, Xianggan& Chen, Qinzhu& Huang, Song…[et al.]. 2014. Prediction of Tropical Cyclones’ Characteristic Factors on Hainan Island Using Data Mining Technology. Advances in Meteorology،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1034221
Modern Language Association (MLA)
Zhou, Ruixu…[et al.]. Prediction of Tropical Cyclones’ Characteristic Factors on Hainan Island Using Data Mining Technology. Advances in Meteorology No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1034221
American Medical Association (AMA)
Zhou, Ruixu& Gao, Wen-Sheng& Zhang, Bowen& Fu, Xianggan& Chen, Qinzhu& Huang, Song…[et al.]. Prediction of Tropical Cyclones’ Characteristic Factors on Hainan Island Using Data Mining Technology. Advances in Meteorology. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1034221
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1034221