MISC

2018年1月1日

Calculation of Extreme Precipitation Threshold by Percentile Method Based on Box-Cox Transformation

Communications in Computer and Information Science
  • Chi Zhang
  • ,
  • Chi Zhang
  • ,
  • Pu wen Lei
  • ,
  • Koji Koyamada

946
開始ページ
286
終了ページ
295
記述言語
英語
掲載種別
DOI
10.1007/978-981-13-2853-4_22

© 2018, Springer Nature Singapore Pte Ltd. In this paper, we proposed an improved percentile method that used for calculating the threshold value of the extreme precipitation event. The method normalizes the series of daily precipitation data by Box-Cox transformation and calculates the extreme precipitation threshold through the Z-score and specified percentile. According to the experimental result, the proposed method shows higher stability under some circumstances, comparing to the traditional percentile methods. As the complement, it is capable to obtain better results in the calculation of the extreme precipitation threshold if combined with other percentile methods.

リンク情報
DOI
https://doi.org/10.1007/978-981-13-2853-4_22
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000589874300022&DestApp=WOS_CPL
URL
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85055622760&origin=inward
ID情報
  • DOI : 10.1007/978-981-13-2853-4_22
  • ISSN : 1865-0929
  • eISSN : 1865-0937
  • SCOPUS ID : 85055622760
  • Web of Science ID : WOS:000589874300022

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