A Survey of Deep Learning-Based Lightning Prediction
The escalation of climate change and the increasing frequency of extreme weather events
have amplified the importance of precise and timely lightning prediction. This predictive …
have amplified the importance of precise and timely lightning prediction. This predictive …
Development of an alternative device for measurement and characterization of selected meteorological parameters
AO Adelakun, O Akano - Scientific Reports, 2023 - nature.com
Weather monitoring and forecasting during some of nature's most violent events, such as
lightning and thunder, necessitates immediate preventive action for improved agricultural …
lightning and thunder, necessitates immediate preventive action for improved agricultural …
Identifying lightning structures via machine learning
Lightning is a fascinating yet insufficiently understood phenomenon. Very high frequency
(VHF, 30–300 MHz) observations of lightning yield an ever-growing amount of data. In …
(VHF, 30–300 MHz) observations of lightning yield an ever-growing amount of data. In …
Monitoring lightning location based on deep learning combined with multisource spatial data
Lightning is an important cause of casualties, and of the interruption of power supply and
distribution facilities. Monitoring lightning locations is essential in disaster prevention and …
distribution facilities. Monitoring lightning locations is essential in disaster prevention and …
A vision transformer for lightning intensity estimation using 3D weather radar
Lightning has strong destructive powers; its blast wave, high temperature, and high voltage
can pose a great threat to human production, life, and personal safety. The destructive …
can pose a great threat to human production, life, and personal safety. The destructive …
Application research of convolutional neural network and its optimization in lightning electric field waveform recognition
C Wang, X Zhang, H Yang, J Guo, J Xu, Z Sun - Scientific Reports, 2025 - nature.com
Quickly identifying and classifying lightning waveforms is the foundation of lightning
forecasting and early warning. In this paper, based on the electric field observation of the …
forecasting and early warning. In this paper, based on the electric field observation of the …
Lightning Identification Method Based on Deep Learning
Z Qian, D Wang, X Shi, J Yao, L Hu, H Yang, Y Ni - Atmosphere, 2022 - mdpi.com
In this study, a deep learning method called Lightning-SN was developed and used for
cloud-to-ground (CG) lightning identification. Based on artificial scenarios, this network …
cloud-to-ground (CG) lightning identification. Based on artificial scenarios, this network …
[HTML][HTML] Forecasting of Local Lightning Using Spatial–Channel-Enhanced Recurrent Convolutional Neural Network
W Zhou, J Li, H Wang, D Zhang, X Wang - Atmosphere, 2024 - mdpi.com
Lightning is a hazardous weather phenomenon, characterized by sudden occurrences and
complex local distributions. It poses significant challenges for accurate forecasting, which is …
complex local distributions. It poses significant challenges for accurate forecasting, which is …
An efficient machine learning model for lightning localization via lightning-induced voltages on transmission lines
In this paper, three machine learning (ML)-based approaches—XGBoost, Artificial Neural
Network (ANN), and Random Forest algorithms—are compared for the localization of …
Network (ANN), and Random Forest algorithms—are compared for the localization of …
Design and Development of Lightning Detection System Utilizing Slow Atmospheric Electric Field Waveform at Legoland Malaysia
Conventional lightning localization and detection techniques, including Magnetic Direction
Finder (MDF), Time of Arrival (TOA), Interferometer (ITF), and Distance of Arrival (DOA) …
Finder (MDF), Time of Arrival (TOA), Interferometer (ITF), and Distance of Arrival (DOA) …