ChinaHighO3: Big Data Seamless 1 km Hourly Gapless Ground-level O3 Dataset for China (2019)

ChinaHighO3 is one of the series of long-term, full-coverage, high-resolution, and high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from big data (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using artificial intelligence by considering the spatiotemporal heterogeneity of air pollution. 

This is the big data-derived seamless (spatial coverage = 100%) hourly 1 km (H1K) ground-level O3 dataset in China in 2019, and this dataset yields a high quality with a cross-validation coefficient of determination (CV-R2) reaching 0.89 and a root-mean-square error (RMSE) of 16.35 µg m-3 on an hourly basis.

If you use the ChinaHighO3 dataset for related scientific research, please cite the corresponding 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 of different air pollutants can be found at: https://weijing-rs.github.io/product.html