Exploring the Use of Machine Learning in Predicting Climate Change Effects

Abstract

Climate change is one of the most significant challenges facing humanity in the 21st century. With the increasing global temperature and unpredictable weather patterns, accurate predictions of future climate scenarios are crucial for formulating effective policies. Machine learning (ML) has emerged as a powerful tool in enhancing climate change predictions. This paper explores the application of machine learning techniques to predict various effects of climate change, including temperature rise, extreme weather events, and environmental degradation. We discuss the strengths of ML models in processing large datasets, recognizing complex patterns, and improving the accuracy of predictions. The paper also outlines various ML techniques, case studies, and the future potential of AI-driven solutions in climate science.