The Precipitation video datasets have distinctive meteorological patterns that a mass of fluid moves in a particular direction across the entire frames, and each local area of the fluid has an individual life-cycle from initiation, maturation, to decay.In this paper, we propose a novel transformer-based model for precipitation nowcasting with the ability to extract global and local dynamics within meteorological characteristics. The experimental results show our model achieves state-of-the-art performance on the precipitation nowcasting benchmark.