  Precipitation nowcasting using neural networks and ground-based radars has
become one of the key components of modern weather prediction services, but it
is limited to the regions covered by ground-based radars. Truly global
precipitation nowcasting requires fusion of radar and satellite observations.
We propose the data fusion pipeline based on computer vision techniques,
including novel inpainting algorithm with soft masking.
