Convolutional LSTM for Precipitation Nowcasting

This content explores precipitation nowcasting, focusing on challenges in current forecasting methods and introducing the ConvLSTM model as a solution. Core concepts of spatiotemporal forecasting are discussed, highlighting ConvLSTM's advantages over traditional techniques. The structure and encoding-forecasting approach of ConvLSTM are detailed. Experimental evaluations showcase its performance and handling of boundary conditions. Concluding remarks summarize its efficacy and propose future...