Just think of the images as a PCA/dimensionality reduction. Instead of running a model on 3D atmospheric conditions, you run predictions based on a 2D slice of it. Enough of the information remains embedded in the radar images that predictions have similar accuracy to crunching numbers on higher dimensions.