Improving Earth System Model Precipitation Simulation through Conditional Diffusion Models for Downscaling and Bias Correction

A novel machine learning framework based on conditional diffusion models can effectively downscale and bias-correct Earth system model precipitation fields, preserving large-scale patterns while correcting small-scale biases.