Assessment of the Role of Artificial Intelligence in Climate Change Variability: A UK Case Study

This research investigates the critical intersection of artificial intelligence, advanced machine learning methodologies—including linear regression and Bayesian Networks—and predictive analytics in assessing climate change variability using robust UK case studies. The study demonstrates how probabilistic machine learning models significantly enhance early climate risk detection, optimize resource management, and support data-driven environmental governance and sustainability frameworks.