End-to-End Prediction of Lightning Events from Geostationary Satellite Images

End-to-End Prediction of Lightning Events from Geostationary Satellite Images

While thunderstorms can pose severe risks to property and life, forecasting remains challenging, even at short lead times, as these often arise in meta-stable atmospheric conditions. In this paper, we examine the question of how well we could perform short-term (up to 180 min) forecasts using exclus...

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Bibliographic Details
Main Authors: Sebastian Brodehl, Richard Müller, Elmar Schömer, Peter Spichtinger, Michael Wand
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
neural networks
satellite images
class imbalance
feature attribution
lightning prediction
nowcasting
Online Access:https://www.mdpi.com/2072-4292/14/15/3760

Internet

https://www.mdpi.com/2072-4292/14/15/3760

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