This study developed a nested machine learning model to convert the GEMS NO₂ column measurements into ground-level concentrations across China. The model directly incorporates the NO₂ mixing height (NMH) into the methodological framework. The study underscores the importance of considering NMH when estimating ground-level NO₂ from satellite column measurements and highlights the significant advantages of new-generation geostationary satellites in air quality monitoring.