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 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 Level 3 (L3) yearly 0.1 degree (≈ 10 km) gridded full-coverage ground-level SO2 products in Eastern China (ECHAP_SO2_Y10K) from 2013 to 2020, which are averaged from the Level 2 daily products. This dataset has high accuracy with a cross-validation coefficient of determination (CV-R2) of 0.84 and a root-mean-square error (RMSE) of 10.07 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., RSE, 2021). Note that this dataset is continuously updated, and if you need a longer period or higher temporal-resolution (e.g., daily, monthly) data, please contact me.

{"references": ["Wei, J., Li, Z., Lyapustin, A., Sun, L., Peng, Y., Xue, W., Su, T., and Cribb, M. Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications. Remote Sensing of Environment, 2021, 252, 112136. https://doi.org/10.1016/j.rse.2020.112136"]}

Email: weijing_rs@163.com; weijing.rs@gmail.com.