Lightning prediction using radiosonde data

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a concept of predicting lightning with the data from radiosonde using only a simple back propagation neural network model written in C code. The location of interest in this research is Kuala Lumpur International Airport (KLIA). In this model, the parameters related to wind were disregarded. Preliminary results indicate that this method shows some positive results. Future work should include wind parameters to fully capture all properties for lightning formation, subsequently its prediction.

Original languageEnglish
Title of host publicationProceedings of the 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008
Pages78-81
Number of pages4
Publication statusPublished - 01 Dec 2008
Event4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008 - Langkawi, Malaysia
Duration: 02 Apr 200804 Apr 2008

Publication series

NameProceedings of the 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008

Other

Other4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008
CountryMalaysia
CityLangkawi
Period02/04/0804/04/08

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All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology

Cite this

Leong, Y. W., Omar, J., Yap, K. S., Zainal Abidin, I., & Khaleel Ahmed, S. (2008). Lightning prediction using radiosonde data. In Proceedings of the 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008 (pp. 78-81). (Proceedings of the 4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2008).