Machine learning in meteorology leverages algorithms to analyze vast amounts of atmospheric data, improving weather prediction accuracy and enabling better understanding of complex climate systems. By automating pattern recognition and predictive modeling, it enhances the ability to forecast extreme weather events and long-term climate changes.