CBC-Diffusion: A Two-Stage Framework for Extreme Precipitation Forecasting

This repository contains the full implementation of a two-stage deep learning framework for extreme precipitation forecasting over eastern China (110–130°E, 20–40°N). The framework combines Cascade Binary Classification (CBC) with diffusion model post-processing to achieve high-resolution, probabilistic forecasts of extreme events from ERA5 reanalysis inputs.