The daily variations of near-surface ozone (O₃), one of the major air pollutants in China, depend on meteorological conditions. In this study, we analyzed the characteristics of O₃ pollution and the complicated interactions among the controlling meteorological factors. In China, O₃ pollution is becoming severe and high-concentration areas are expanding greatly. We found that O₃ was correlated to numerous meteorological variables including air pressure, temperature, relative humidity, wind speed, wind direction, sunshine duration, evaporation, and precipitation. Using generalized additive models (GAMs), we developed predictive models to forecast the maximum daily 8 h O₃ mass concentration for 334 cities in China. Different cities were influenced by different meteorological variables, with temperature (90.77%), relative humidity (68.15%), and sunshine hours (66.96%) being the top three influencing factors. In addition, we found that the influence of these meteorological factors on O₃ pollution was nonlinear and impacted by the interaction between variables. Considering individual relationships between each meteorological factor and O₃, the average coefficient of determination (R²) of GAMs for the 334 cities was 0.64 ± 0.16. However, considering the interaction between variables, the average R² for 334 cities of revised GAMs increased to 0.72 ± 0.15. The R² was significantly improved in 96.72% of the cities after considering the interactions among the meteorological factors based on a ten-fold cross-validation method. Furthermore, we found that the GAM residuals were unbiased. As an example of using and interpreting the GAM results, we focused on a case study in Hangzhou during the G20 summit in 2016. During this period, nitrogen oxides (NO_x) and volatile organic compounds were reduced by 51.67% and 49.00%, respectively, because of local emission controls. Despite these changes in precursor emissions, O₃ changed slightly during this period, suggesting that O₃ in Hangzhou at the time was not controlled by local precursor emissions, but was impacted by meteorological conditions.