ChinaHighNO2 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 OMI/Aura-derived yearly 25 km ground-level O3 products in China from 2005 to 2019, and this dataset yields a high quality with a cross-validation coefficient of determination (CV-R2) of 0.72 and a root-mean-square error (RMSE) of 9.97 µg m-3 on a daily basis. Note that this dataset is closed access since a longer-term, seamless, high-resolution (10 km), and higher quality ChinaHighNO2 dataset is available at: https://doi.org/10.5281/zenodo.4641542 More CHAP datasets of different air pollutants can be found at: https://weijing-rs.github.io/product.html

{"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"]}

Note that this dataset is continuously updated, and if you want to apply for more data or have any questions, please contact me (Email: weijing_rs@163.com; weijing.rs@gmail.com).