GlobalHighPM2.5 (2022)

Here is the first big data-derived gapless (spatial coverage = 100%) daily, monthy, and annual 1 km (i.e., D1K, M1K, and Y1K) global PM2.5 dataset over land for the year 2022. This dataset yields a high quality with a cross-validation coefficient of determination (CV-R2) of 0.91 and an root-mean-square error (RMSE) of 9.20 µg m-3 on the daily basis. If you use the GlobalHighPM2.5 dataset for related scientific research, please cite the below-listed corresponding reference (Wei et al., NC, 2023): Wei, J., Li, Z., Lyapustin, A., Wang, J., Dubovik, O., Schwartz, J., Sun, L., Li, C., Liu, S., and Zhu, T. First close insight into global daily gapless 1 km PM2.5 pollution, variability, and health impact. Nature Communications, 2023, 14, 8349. https://doi.org/10.1038/s41467-023-43862-3 More air quality datasets of different air pollutants can be found at: https://weijing-rs.github.io/product.html