A CNN-ConvLSTM Deep Learning Model with Axial Attention for Radar Reflectivity-based Precipitation Nowcasting in Southern Vietnam
Precipitation nowcasting plays a critical role in early hazard warning, especially for rapidly evolving convective systems. This study proposes a radar-based deep learning model that combines convolutional neural networks (CNN) for spatial feature extraction, a recurrent spatiotemporal module (ConvLSTM) for image seque...