DiffObs: Generative Diffusion for Global Forecasting of Satellite
Observations
DiffObs: Generative Diffusion for Global Forecasting of Satellite
Observations
This work presents an autoregressive generative diffusion model (DiffObs) to predict the global evolution of daily precipitation, trained on a satellite observational product, and assessed with domain-specific diagnostics. The model is trained to probabilistically forecast day-ahead precipitation. Nonetheless, it is stable for multi-month rollouts, which reveal a qualitatively realistic superposition …