A Spatial-temporal Deep Probabilistic Diffusion Model called SteamCast has been introduced for hail nowcasting with radar echo extrapolation.
The model is trained on historical reanalysis archive from Yan'an Meteorological Bureau in China.
SteamCast provides 30-minute nowcasts at 6-minute intervals for a single radar reflectivity variable, across 9 different vertical angles, with high resolution.
The model delivers competitive results compared to other deep learning-based models for hail nowcasting.