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Lightning alarm system using stochastic modelling

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  • Abhay Srivastava
  • Mrinal Mishra
  • Manoj Kumar

Abstract

It is true that such a long-range forecasting of lightning is not possible, the reason being the abrupt high value of the parameters at the time of lightning strike as compared to other weather conditions. But still a system that will predict the occurrence of lightning over few minutes or few hours will be beneficial for protection of lives and equipments. In this work, atmospheric electric field data are used for devising an alarm system for lightning. With the help of Markov chain stochastic modelling of the electric field data, probabilities of a lightning strike are calculated. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Abhay Srivastava & Mrinal Mishra & Manoj Kumar, 2015. "Lightning alarm system using stochastic modelling," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(1), pages 1-11, January.
    • Handle: RePEc:spr:nathaz:v:75:y:2015:i:1:p:1-11
    DOI: 10.1007/s11069-014-1247-8
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    References listed on IDEAS

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    1. J. P. Hughes & P Guttorp & S. P. Charles, 1999. "A non‐homogeneous hidden Markov model for precipitation occurrence," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 48(1), pages 15-30.
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