ChinaHighO₃: Daily Seamless 1 km Ground-Level O₃ Dataset for China (2000–Present)

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%) daily, monthly, and yearly 1 km (i.e., D1K, M1K, and Y1K) ground-level maximum daily 8-hour average (MDA8) O3 dataset for China from 2000 to the present. This dataset exhibits high quality, with a cross-validation coefficient of determination (CV-R2) of 0.89, a root-mean-square error (RMSE) of 15.77 µg m-3, and a mean absolute error (MAE) of 10.48 µg m-3 on a daily basis. If you use the ChinaHighO3 dataset in your scientific research, please cite the following references (Yang et al., RSE, 2025; Wei et al., RSE, 2022): Yang, Z., Li, Z., Cheng, F., Lv, Q., Li, K., Zhang, T., Zhou, Y., Zhao, B., Xue, W., and Wei, J. Two-decade surface ozone (O3) pollution in China: enhanced fine-scale estimations and environmental health implications. Remote Sensing of Environment, 2025, 317, 114459. https://doi.org/10.1016/j.rse.2024.114459 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 More CHAP datasets for different air pollutants are available at: https://weijing-rs.github.io/product.htmlChinaHighO3 属于中国大气污染物系列长期、无缝、高分辨率、高质量数据集（即ChinaHighAirPollutants，简称CHAP）的组成部分。该数据集依托地面观测、卫星遥感产品、大气再分析数据及模式模拟等大数据源，结合人工智能技术生成，并充分考虑了空气污染的时空异质性。 本数据集为2000年至今，基于大数据生成的中国全域空间覆盖率100%的逐日、逐月、逐年1公里分辨率地面日最大8小时平均臭氧（MDA8 O3）数据集，包含D1K、M1K及Y1K三种标识。该数据集质量优异，日尺度下的交叉验证决定系数（cross-validation coefficient of determination, CV-R²）达0.89，均方根误差（root-mean-square error, RMSE）为15.77 µg·m⁻³，平均绝对误差（mean absolute error, MAE）为10.48 µg·m⁻³。 若您在科研工作中使用本ChinaHighO3数据集，请引用以下文献（Yang等，《环境遥感》（Remote Sensing of Environment，简称RSE），2025；Wei等，《环境遥感》（Remote Sensing of Environment，简称RSE），2022）： Yang Z, Li Z, Cheng F, Lv Q, Li K, Zhang T, Zhou Y, Zhao B, Xue W, Wei J. Two-decade surface ozone (O3) pollution in China: enhanced fine-scale estimations and environmental health implications. Remote Sensing of Environment, 2025, 317: 114459. https://doi.org/10.1016/j.rse.2024.114459 Wei J, Li Z, Li K, Dickerson R, Pinker R, Wang J, Liu X, Sun L, Xue W, 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 更多针对不同大气污染物的CHAP系列数据集可访问：https://weijing-rs.github.io/product.html