SEVIR: A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology Mark S. Veillette

Modern deep learning approaches have shown promising results in meteorological applications like precipitation nowcasting, synthetic radar generation, front detection and several others. In order to effectively train and validate these complex algorithms, large and diverse datasets containing high-resolution imagery are required.