Requia et al. (2020) Daily 8-Hour Maximum and Annual O3 Concentrations for the Contiguous United States, 1-km Grids, v1.10 (2000 – 2016)

The Daily 8-Hour Maximum and Annual O3 Concentrations for the Contiguous United States, 1-km Grids, Version 1.10 (2000-2016) dataset contains estimated ozone (O3) air pollution concentrations. O3 concentrations are estimated using a geographically weighted ensemble modeling approach with three types of machine learning models (neural network, random forest, and gradient boosting). The approach incorporates O3 air pollution observations from ground-based monitors, land use and meteorological variables, chemical transport models, and remote sensing data, along with other sources. This dataset provides daily 8-hour maximum average and annual 8-hour maximum average O3 concentration estimates during 2000 to 2016 for the contiguous United States with 1 km spatial resolution.