SOURCE-LINKED INTELLIGENCE
Precipitation Downscaling Using Foundation Model-Conditioned Diffusion
High-resolution precipitation fields are essential for hydrological impact assessment, yet global climate model outputs are too coarse and biased for direct use. AI-based statistical downscaling with diffusion models offers a promising approach, but the mechanism by which large-scale atmospheric predictors condition generation remains largely unexplored. We investigate three conditioning strategies for a denoising diffusion probabilistic model applied to daily precipitation downscaling: channel concatenation of upsampled coarse predictors, cross-attention conditioning with a learned convolutio
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-26T14:30:39.000Z
First collected: 2026-09-21T09:11:58.312Z. This is not the publication date.