Estimating typhoon rainfall over sea from SSM/I satellite data using a back-propagated network

Wen Huan Chine, Hsiao Ping Wei, Keh Chia Yeh, Li Chen, Gin Rong Liu, Chang Hung Chiu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes a back-propagated network (BPN) and applies it to predict the rainfall using meteorological satellite data. In the case study, the back-propagated network (BPN) combining with SGji-Dao SM/I microwave frequency channels was employed to establish a suitable method for estimating rainfall at sea surface during typhoon periods. These results are then verified with the data from four rainfall stations located at Peng-Jia-Yu, Don-, Lan-Yu, and Green Island. From the results, the back-propagated network (BPN) outperforms the traditional multiple linear regression and empirical equations with lower estimating errors for predicting the sea-surface rainfall during typhoon periods.

Original languageEnglish
Title of host publication3rd International Symposium on Intelligent Information Technology and Security Informatics, IITSI 2010
Pages263-267
Number of pages5
DOIs
StatePublished - 2010
Event2010 International Symposium on Intelligent Information Technology and Security Informatics, IITSI 2010 - Jinggangshan, China
Duration: 2 Apr 20104 Apr 2010

Publication series

Name3rd International Symposium on Intelligent Information Technology and Security Informatics, IITSI 2010

Conference

Conference2010 International Symposium on Intelligent Information Technology and Security Informatics, IITSI 2010
Country/TerritoryChina
CityJinggangshan
Period2/04/104/04/10

Keywords

  • Back-propagated network (BPN)
  • Meteorological satellite
  • SSM/I

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