Longwang: Zero-Shot Global Spatiotemporal Precipitation Downscaling with a Latent Generative Prior

ArXi:2605.17603v1 Announce Type: cross High-resolution precipitation information is essential for climate impact assessment, yet global climate models remain too coarse to resolve key small-scale processes. Existing machine learning downscaling methods often require paired low- and high-resolution data for supervised learning, are tied to fixed regions or scale factors during inference, and can be computationally expensive to train and run in physical space. Here we