2 citations · 2 across the 2 of their papers we have counts for
3 papers
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…
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…
Definition, detection, and tracking of persistent structures in atmospheric flows
Johannes von Lindheim, Abhishek Harikrishnan, Tom Dörffel +8
Long-lived flow patterns in the atmosphere such as weather fronts, mid-latitude blockings or tropical cyclones often induce extreme weather conditions. As a consequence, their desc…