Modeling precipitation evolution with global deterministic motion and local stochastic variations improves prediction accuracy.
GPTCast is a generative deep learning method that leverages a GPT model and a specialized spatial tokenizer to produce realistic and accurate ensemble forecasts of radar-based precipitation.