2 papers
physics.ao-ph2026
Exploring the role of input data on hail nowcast skill using spatiotemporal neural networks
George Pacey, Ophélia Miralles, Ulrich Hamann +1
Hail can cause large financial losses and poses risks to public safety, making reliable nowcasts essential for timely warnings. Deep-learning approaches have emerged as a strong al…
physics.ao-ph2026
Modelling convective cell occurrence in proximity to cold fronts using extreme gradient boosting
George Pacey, Stephan Pfahl, Lisa Schielicke
Machine learning is emerging as a valuable tool for convection-related applications such as post-processing numerical weather prediction output, improving understanding of convecti…