A two-stage Bias-Correction and Super-Resolution Framework for Post-Processing Climate Model Outputs

This repository provides the complete, reproducible codebase used to implement a two-stage framework for post-processing climate model outputs. The workflow combines Quantile Delta Mapping for bias correction with a Pix2Pix conditional Generative Adversarial Network for spatial super-resolution. The code supports transparency, reproducibility, and reuse in climate modeling and impact assessment studies. Input datasets are publicly available but are not redistributed.