Latest

• Demystifying Data-Driven Probabilistic Medium-Range Weather Forecasting
• Learning Accurate Storm-Scale Evolution from Observations
• Long-Range Distillation: Distilling 10,000 Years of Simulated Climate into Long Timestep AI Weather Models
• Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales
• Huge ensembles -- Part 1: Design of Ensemble Weather Forecasts Using Spherical Fourier Neural Operators
• Huge Ensembles Part 2: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators
• Adaptive Flow Matching for Resolving Small-Scale Physics
• Residual Corrective Diffusion Modeling for Km-Scale Atmospheric Downscaling
• Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting
• Coupled Ocean-Atmosphere Dynamics in a Machine Learning Earth System Model
• Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales
• StormCast: Kilometer-Scale Convection Allowing Model Emulation Using Generative Diffusion Modeling