ChinaHighSO2: Big Data Seamless 10 km Ground-level SO2 Dataset for China

ChinaHighSO₂ 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 10 km (i.e., D10K, M10K, and Y10K) ground-level SO₂ dataset in China from 2013 to 2020. This dataset yields a high quality with a cross-validation coefficient of determination (CV-R²) of 0.84, a root-mean-square error (RMSE) of 10.07 µg m^-3, and a mean absolute error (MAE) of 4.68 µg m^-3 on a daily basis.

If you use the ChinaHighSO₂ dataset for related scientific research, please cite the corresponding reference (Wei et al., ACP, 2023):

• Wei, J., Li, Z., Wang, J., Li, C., Gupta, P., and Cribb, M. Ground-level gaseous pollutants (NO₂, SO₂, and CO) in China: daily seamless mapping and spatiotemporal variations. Atmospheric Chemistry and Physics, 2023, 23, 1511–1532. https://doi.org/10.5194/acp-23-1511-2023

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