A machine learning model for the prediction of hail-affected area in Germany

Hailstorms pose significant risks in Germany, calling for accurate forecasts and warnings. This study explores the application of a convolutional neural network (CNN) to predict daily hail-affected areas using radar-based hail footprints from 2005 to 2019. The ML model utilizes 18 thermodynamic and...

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Bibliographic Details

Published in:	Frontiers in Earth Science
Main Authors:	Siyu Li, Peter Knippertz, Michael Kunz, Jannik Wilhelm, Julian Quinting
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-03-01
Subjects:	hail footprints machine learning statistics convective parameters ERA5 Germany
Online Access:	https://www.frontiersin.org/articles/10.3389/feart.2025.1527391/full