Unravelling Climate Dynamics

Abstract

The scientific community is under pressure to investigate novel methods for understanding and forecasting the complex behaviors of the changing climate, as the modern era is characterized by hitherto unseen problems. The aim of this chapter is to examine the predictive power of machine learning algorithms for climate change, with the goal of advancing proactive and well-informed approaches to mitigating the effects of global environmental changes. The chapter is based on a thorough evaluation of prior research, empirical evaluations, and case studies that highlight effective ML applications in climate change prediction. The combination of these results offers insightful information on how machine learning (ML) could be used in addition to conventional climate models to promote a more comprehensive understanding of climate dynamics and improve our capacity to predict and respond to environmental changes in the future.