arXiv stat.ML
· Papers
On the sensitivity of machine-learned probabilistic weather forecast models to scale-aware scoring rules
arXiv:2607.19161v1 Announce Type: cross Abstract: Probabilistic forecast models can be machine-learned from data using loss functions based on scoring rules such as the Continuous Ranked Probability Score (CRPS). This note summarises a preliminary study comparing versions of AIFS-CRPS, a global weather forecast model,