ChinaHighPM2.5: Big Data Seamless 10 km Ground-level PM2.5 Dataset for China (Closed)

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 big data-derived seamless (spatial coverage = 100%) daily, monthly, and yearly 10 km (i.e., D10K, M10K, and Y10K) ground-level PM_2.5 dataset in China from 2013 to 2020. This dataset yields a high quality with a cross-validation coefficient of determination (CV-R²) of 0.91 and a root-mean-square error (RMSE) of 12.67 µg m^-3 on a daily basis. <strong>Note that this dataset is closed access since a longer-term, high-resolution (1 km), and higher quality ChinaHighPM_2.5 dataset is available at: http://doi.org/10.5281/zenodo.6398971</strong> <strong>More CHAP datasets of different air pollutants can be found at: https://weijing-rs.github.io/product.html</strong>