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 the 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%) daily, monthly, and yearly 10 km (i.e., D10K, M10K, and Y10K) ground-level maximum 8-hour average (MDA8) O3 dataset in China from 1979 to 2020. This dataset yields a high quality with a cross-validation coefficient of determination (CV-R2) of 0.87, a root-mean-square error (RMSE) of 17.10 µg m-3, and a mean absolute error (MAE) of 11.29 µg m-3 on a daily basis. If you use the ChinaHighO3 dataset for related scientific research, please cite the corresponding reference (Wei et al., RSE, 2022; He et al., 2022): Wei, J., Li, Z., Li, K., Dickerson, R., Pinker, R., Wang, J., Liu, X., Sun, L., Xue, W., and Cribb, M. Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China. Remote Sensing of Environment, 2022, 270, 112775. https://doi.org/10.1016/j.rse.2021.112775 He, L., Wei, J., Wang, Y., Shang, Q., Liu, J., Yin, Y., Frankerberg, C., Jiang, J., Li, Z., and Yung, Y. Marked impacts of pollution mitigation on crop yields in China. Earth's Future, 2022, 10, e2022EF002936. https://doi.org/10.1029/2022EF002936 Note that access to this dataset is now restricted, as a longer-term (2000 to present), high-resolution (1 km), and higher quality ChinaHighO3 dataset is now available: http://doi.org/10.5281/zenodo.10477125 More CHAP datasets of different air pollutants can be found at: https://weijing-rs.github.io/product.html

Note that the data are recorded in local time (i.e., Beijing time: GMT+8), and measured at the standard condition (i.e., 273 K and 1013 hPa). The concentrations can be converted to the room condition (i.e., 298 K and 1013 hPa) by dividing by a factor of 1.09375 (MEE, 2018). This dataset is continuously updated, and if you want to apply for more data or have any questions, please contact me (Email: weijing_rs@163.com; weijing@umd.edu).