Machine Learning-Based Bias-Corrected Future Projections of Ozone Concentrations from a Chemistry-Climate Model

in these regions. The decomposition analysis shows that anthropogenic emission changes dominate future ozone trends, while a strong climate penalty occurs in polluted eastern China and climate benefits are found in western China, the United States, and Europe under SSP5-8.5. These findings demonstrate the value of combining ML with chemistry-climate models to produce more accurate air quality projections, indicating more effective and region-specific environmental protection strategies.