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Lightning nowcasting with aerosol-informed machine learning and satellite-enriched dataset

Earth Sciences

Lightning nowcasting with aerosol-informed machine learning and satellite-enriched dataset

G. Song, S. Li, et al.

This groundbreaking study by Ge Song, Siwei Li, and Jia Xing leverages machine learning to enhance lightning nowcasting accuracy using aerosol features and satellite observations. With a remarkable 94.3% accuracy, the team reveals unexpected influences of different aerosol types on lightning occurrences.

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