4 papers
Do AI weather models miss extremes?
Marvin Vincent Gabler, Roberto Molinaro, Niall Siegenheim +5
AI weather models are often reported to underestimate extremes, but most evidence concerns deterministic regression models verified against reanalysis. We evaluate twelve physical…
Universal Diffusion-Based Probabilistic Downscaling
Roberto Molinaro, Niall Siegenheim, Henry Martin +4
We introduce a universal diffusion-based downscaling framework that lifts deterministic low-resolution weather forecasts into probabilistic high-resolution predictions without any…
EPT-2 Technical Report
Roberto Molinaro, Niall Siegenheim, Niels Poulsen +12
We present EPT-2, the latest iteration in our Earth Physics Transformer (EPT) family of foundation AI models for Earth system forecasting. EPT-2 delivers substantial improvements o…
EPT-1.5 Technical Report
Roberto Molinaro, Jordan Dane Daubinet, Alexander Jakob Dautel +10
We announce the release of EPT-1.5, the latest iteration in our Earth Physics Transformer (EPT) family of foundation AI earth system models. EPT-1.5 demonstrates substantial improv…