This repository contains analysis workflows for understanding future warming patterns by combining climate model outputs and machine learning methods. The repository focuses on two core components:
Analysis of spatial (lat–lon) patterns of surface warming Pattern extraction and characterization using machine learning algorithms
Global mean temperature trajectories derived from the FaIR climate model Used as inputs or constraints for spatial pattern scaling and projection analyses