Lightning nowcasting with aerosol-informed machine learning and satellite-enriched dataset
Abstract Accurate and timely prediction of lightning occurrences plays a crucial role in safeguarding human well-being and the global environment. Machine-learning-based models have been previously employed for nowcasting lightning occurrence, offering advantages in computation efficiency. However,...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-08-01
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Series: | npj Climate and Atmospheric Science |
Online Access: | https://doi.org/10.1038/s41612-023-00451-x |