Lightning Risk Warning Method Using Atmospheric Electric Field Based on EEWT-ASG and Morpho
The current methods for lightning risk warnings that are based on atmospheric electric field (AEF) data have a tendency to rely on single features, which results in low robustness and efficiency. Additionally, there is a lack of research on canceling warning signals, contributing to the high false a...
Main Authors: | Xiang Li, Ling Yang, Qiyuan Yin, Zhipeng Yang, Fangcong Zhou |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-06-01
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Series: | Atmosphere |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4433/14/6/1002 |
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