ChinaHighPM₁₀ (2022–Present)

Here is the big data-derived seamless (spatial coverage = 100%) daily, monthly, and yearly 1 km (i.e., D1K, M1K, and Y1K) ground-level PM10 dataset for China from 2022 to the present. This dataset exhibits high quality, with a cross-validation coefficient of determination (CV-R2) of 0.92, a root-mean-square error (RMSE) of 16.87 µg m-3, and a mean absolute error (MAE) of 8.01 µg m-3 on a daily basis. If you use the ChinaHighPM10 dataset in your scientific research, please cite the following references (Wei et al., EI, 2021; Yang et al., 2026): Wei, J., Li, Z., Xue, W., Sun, L., Fan, T., Liu, L., Su, T., and Cribb, M. The ChinaHighPM10 dataset: generation, validation, and spatiotemporal variations from 2015 to 2019 across China. Environment International, 2021, 146, 106290. https://doi.org/10.1016/j.envint.2020.106290 Yang, Z., Cheng, F., Gao, J., Liu, H., and Wei, J. Satellite observations reveal heterogeneous atmospheric composition responses to rapid emission changes. Atmospheric Chemistry and Physics, 2026, 26, 7933–7947. https://doi.org/10.5194/acp-26-7933-2026 The data for the period 2000–2021 are accessible at: https://doi.org/10.5281/zenodo.3752465 More CHAP datasets for different air pollutants are available at: https://weijing-rs.github.io/product.html