Generative Ensemble Deep Learning for Severe Weather Prediction from a Deterministic Convection-Allowing Model

The author employs conditional generative adversarial networks (CGANs) and convolutional neural networks (CNN) to post-process convection-allowing model forecasts, resulting in skillful severe weather predictions with improved Brier Skill Scores. The approach combines deep generative models with neural networks to enhance severe weather prediction accuracy.