Typhoon forecasting for Taipei, Taiwan

By: Call Number: AIT SSPR no. CA-81-9 Contributor(s): Material type: SeriesSeries: Asian Institute of Technology. Special studies project report ; no. CA-81-9Publication details: Bangkok : Asian Institute of Technology, 1981Description: 20 pSubject(s): Online resources: Dissertation note: Special Studies Project Report (M. Sc.) - Asian Institute of Technology, 1981 Summary: The present study employs multiple linear regression analysis for the forecasting of typhoons in Taipei, Taiwan, Republic of China. In this con text, the track of a typhoon and the accompanying rainfall in the next 24 and 48 hours are expressed in terms of 8 independent variables (called predictors) such as the initial longitude and latitude of the typhoon, the initial East to West and South to North components of its velocity, etc. By combining these predictors into nominals of degree <_ 3, six predictive equations are finally obtained by means of stepwise linear regression analysis. They can be used to provide relevant information for any mitigation operation in this area.
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20-AIT Publication Asian Institute of Technology Library AIT Publications AIT SSPR no. CA-81-9 (Browse shelf(Opens below)) 1 Available 30050003118071
20-AIT Publication Asian Institute of Technology Library AIT Publications AIT SSPR no. CA-81-9 (Browse shelf(Opens below)) 2 Available 30050003118063
40-Archives Asian Institute of Technology Library Archives AIT SSPR no. CA-81-9 (Browse shelf(Opens below)) Available 30050120345110

A special study submitted in partial fulfilment of the requirements for the degree of Master of Science, School of Engineering and Technology

Special Studies Project Report (M. Sc.) - Asian Institute of Technology, 1981

The present study employs multiple linear regression analysis for the forecasting of typhoons in Taipei, Taiwan, Republic of China. In this con text, the track of a typhoon and the accompanying rainfall in the next 24 and 48 hours are expressed in terms of 8 independent variables (called predictors) such as the initial longitude and latitude of the typhoon, the initial East to West and South to North components of its velocity, etc. By combining these predictors into nominals of degree <_ 3, six predictive equations are finally obtained by means of stepwise linear regression analysis. They can be used to provide relevant information for any mitigation operation in this area.

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