ChinaHighO₃: Hourly Seamless 1 km Ground-Level O₃ Dataset for China (2019)

ChinaHighO3 is part of a series of long-term, seamless, high-resolution, and high-quality datasets of air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from big data sources (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using artificial intelligence, taking into account the spatiotemporal heterogeneity of air pollution. Here is the big data-derived seamless (spatial coverage = 100%) hourly 1 km (i.e., H1K) O3 dataset for China for the year 2019. This dataset exhibits high quality, with a cross-validation coefficient of determination (CV-R2) of 0.89, a root-mean-square error (RMSE) of 16.35 µg m-3, and a mean absolute error (MAE) of 11.53 µg m-3 on a daily basis. If you use the ChinaHighO3 dataset in your scientific research, please cite the following reference (Cheng et al., RSE, 2025): Cheng, F., Li, Z., Yang, Z., Li, R., Wang, D., Jia, A., Li, K., Zhao, B., Wang, S., Yin, D., Li, S., Xue, W., Cribb, M., and Wei, J. First retrieval of 24-hourly 1-km-resolution gapless surface ozone (O3) from space in China using artificial intelligence: diurnal variations and implications for air quality and phytotoxicity. Remote Sensing of Environment, 2025, 316, 114482. https://doi.org/10.1016/j.rse.2024.114482 More CHAP datasets for different air pollutants are available at: https://weijing-rs.github.io/product.html