S³NN: Exploring Stochastic Modeling in Precipitation Nowcasting Domain (opens in new tab)

Precipitation nowcasting based on artificial intelligence has gained significant attention in both meteorology and computer science communities in the last few years. While researchers continuously introduce new models to improve forecasting performance, it is worth noting that most of these models are deterministic. Unfortunately, it is difficult for deterministic models to model future uncertainty, visually shown as blurry. Stochastic generative models offer a feasible solution; they are de...