ChinaHighPM2.5: Himawari-8 Hourly 5 km Ground-level PM2.5 Dataset for China

ChinaHighPM_2.5 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 Himawari-8 hourly (UTC 00:00 - 10:00) 5 km (H5K) ground-level PM_2.5 dataset in Eastern China in 2018, and this dataset yields a high quality with a cross-validation coefficient of determination (CV-R²) reaching 0.85 and a root-mean-square error (RMSE) of 13.62 µg m^-3 on an hourly basis.

If you use the ChinaHighPM_2.5 dataset for related scientific research, please cite the corresponding reference (Wei et al., ACP, 2021):

• Wei, J., Li, Z., Pinker, R., Wang, J., Sun, L., Xue, W., Li, R., and Cribb, M. Himawari-8-derived diurnal variations of ground-level PM_2.5 pollution across China using the fast space-time Light Gradient Boosting Machine (LightGBM). Atmospheric Chemistry and Physics, 2021, 21, 7863–7880. https://doi.org/10.5194/acp-21-7863-2021

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