Lightning prediction using radiosonde data

Lightning prediction using radiosonde data

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...

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Bibliographic Details
Main Authors: Weng L.Y., Omar J.B., Siah Y.K., Abidin I.B.Z., Ahmad S.K.
Other Authors: 26326032700
Format: Conference paper
Published: 2023
Subjects:
Artificial intelligence
Lightning forecasting
Lightning prediction
Neural networks
Electric load forecasting
Lightning
Radiosondes
Back propagation neural networks
C codes
Kuala lumpur international airports
Radiosonde datum
Wind parameters
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Institution: Universiti Tenaga Nasional
Description
Summary: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.

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