Estimating Typhoon Rainfall over Sea from SSM/I Satellite Data Using a Back-Propagated Network

Author

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

Author_Institution

Dept. of Civil Eng. & Eng. Inf., Chung Hua Univ., Hsinchu, Taiwan

fYear

2010

fDate

2-4 April 2010

Firstpage

263

Lastpage

267

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.

Keywords

backpropagation; estimation theory; geophysics computing; regression analysis; weather forecasting; SGji-Dao SM/I microwave frequency channels; SSM/I satellite data; backpropagated network; meteorological satellite data; multiple linear regression; sea-surface rainfall prediction; typhoon rainfall estimation; Atmospheric modeling; Brightness temperature; Civil engineering; Data engineering; Informatics; Neural networks; Oceans; Rain; Satellites; Typhoons; SSM/I; back-propagated; meteorological satellite;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Technology and Security Informatics (IITSI), 2010 Third International Symposium on

Conference_Location

Jinggangshan

Print_ISBN

978-1-4244-6730-3

Electronic_ISBN

978-1-4244-6743-3

Type

conf

DOI

10.1109/IITSI.2010.102

Filename

5453574