Fully Differentiable Lagrangian Convolutional Neural Network for Physics-Informed Precipitation Nowcasting

Peter Pavlík, Martin Výboh, Anna Bou Ezzeddine +1

This paper presents a convolutional neural network model for precipitation nowcasting that combines data-driven learning with physics-informed domain knowledge. We propose LUPIN, a…