Open access
Aug 2026
Regional Lightning Occurrence Probability Forecasting and Risk Identification Based on Resampling Ensemble Machine Learning
Accurate regional lightning-occurrence prediction is important for operational weather-risk management, but its development is challenged by the severe class imbalance of grid-hour lightning samples. This study proposes a repeated random undersampling (RUS) stacking ensemble that combines heterogeneous machine-learning...
Zhou-Long Wang, Wenjie Chen, Yuan Niu et al.
· Atmosphere · 0 citations