Gridded estimation of lightning frequency over the eastern Indian subcontinent using neural networks

Chakraborty, R and Chakraborty, A (2022) Gridded estimation of lightning frequency over the eastern Indian subcontinent using neural networks. In: 2022 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2022, 8 - 10 July 2022, Bangalore.

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Abstract

The present study aims to estimate the severity of lightning occurrences on a real-time basis over the Eastern Indian region during the afternoon hours of the premonsoon season using gridded meteorological and aerosol datasets. A set of 17 surface and mid-tropospheric parameters of thermodynamic, dynamic, and microphysical origin have been found to show a prominent agreement with lightning frequencies. Next, these relationships from both past and present time stamps have been fed to a neural network to provide a reliable estimate of the lightning frequency with a decent hit ratio of 70.

Item Type:	Conference Paper
Publication:	2022 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2022
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Frequency estimation; Lightning; Neural networks, Clusterings; Indian subcontinents; Lightning frequency; Mid-troposphere; Multilinear regression; Neural-networks; Past and present; Pre-monsoon; Real- time; Time-stamp, Troposphere
Department/Centre:	Division of Mechanical Sciences > Divecha Centre for Climate Change
Date Deposited:	12 Oct 2022 08:58
Last Modified:	12 Oct 2022 08:58
URI:	https://eprints.iisc.ac.in/id/eprint/77314

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