How Do Generative Downscaling Models Use Noise? Insights from Conditional Precipitation Downscaling
Generative deep learning models offer a promising framework for stochastic precipitation downscaling, but it remains unclear how they utilize large-scale conditioning inputs versus stochastic latent variables. This challenge limits physical interpretability and raises concerns about whether generated fine-scale varia...