Abstract

Climate change poses unprecedented problems, demanding the development of novel technologies to predict and minimize its effects. This chapter addresses the revolutionary role of machine learning (ML) in using climate data to make accurate and actionable predictions. The integration of ML techniques and different climate records makes it possible to forecast weather extremes, plan for future climate trends, and manage weather-related issues in agriculture and the field of renewable energy. The journey is still difficult because the problems of data quality, model understanding, and processing need to be solved. We highlight how machine learning is changing climate research by sharing specific case studies and new developments, and we point out the need for both interdisciplinary efforts and ethical concerns. This chapter helps researchers and experts use machine learning to ensure the resilience of the future in the context of climate change.