Precipitation nowcasting, which aims to precisely predict the short-term rainfall intensity of a
local region, is gaining increasing attention in the artificial intelligence community. Existing
deep learning-based algorithms use a single network to process various rainfall intensities
together, compromising the predictive accuracy. Therefore, this paper proposes a novel
recurrent neural network (RNN) based star-bridge network (StarBriNet) for precipitation
nowcasting. The novelty of this work lies in the following three aspects. First, the proposed …