ChinaHighPM10: Big Data Seamless 1 km Ground-level PM10 Dataset for China

ChinaHighPM₁₀ 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 1 km (i.e., D1K, M1K, and Y1K) ground-level PM₁₀ dataset in China from 2000 to 2022. This dataset yields a high quality with a cross-validation coefficient of determination (CV-R²) of 0.90, a root-mean-square error (RMSE) of 21.12 µg m^-3, and a mean absolute error (MAE) of 11.22 µg m^-3 on a daily basis.

If you use the ChinaHighPM₁₀ dataset for related scientific research, please cite the below-listed corresponding reference first (Wei et al., EI, 2021), and the reference will be updated once our new paper is accepted.

• 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

The data is continuously updated, and

        all (including daily) data for the year 2022 is accessible at: ChinaHighPM10 (2022)

        more is coming soon...

More CHAP datasets of different air pollutants can be found at: https://weijing-rs.github.io/product.html