ChinaHighPM2.5: VIIRS 6 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 VIIRS derived yearly 6 km ground-level PM_2.5 dataset in China from 2013 to 2018, and this dataset yields a high quality with a cross-validation coefficient of determination (CV-R²) reaching 0.88 and a root-mean-square error (RMSE) of 16.52 µg m^-3 on a daily basis.

If you use the ChinaHighPM_2.5 dataset for related scientific research, please cite the corresponding reference (Wei et al., TGRS, 2022):

• Wei, J., Li, Z., Sun, L., Xue, X., Ma, Z., Liu, L., Fan, T., and Cribb, M. Extending the EOS long-term PM_2.5 data records since 2013 in China: application to the VIIRS Deep Blue aerosol products. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, 4100412. https://doi.org/10.1109/TGRS.2021.3050999

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