ChinaHighPMC: Big Data Seamless 1 km Ground-level PM2.5 Chemical Composition Dataset for China

ChinaHighPMC 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%) monthly and yearly 1 km (i.e., M1K and Y1K) dataset of ground-level PM2.5 inorganic chemical composition (i.e., SO42-, NO3-, NH4+, and Cl-) in Eastern China from 2013 to 2020. This dataset yields a high quality with average cross-validation coefficients (CV-R2) of 0.74, 0.75, 0.71, and 0.66, and root-mean-square errors (RMSEs) of 6.0, 6.6, 4.3, and 2.3 µg m-3 for SO42-, NO3-, NH4+, and Cl-, respectively, on a daily basis.
Note that this dataset is closed since a new version is published at 10.5281/zenodo.10011898.