ChinaHighPM2.5: MODIS/Terra+Aqua 1 km Ground-level PM2.5 Dataset for the Beijing-Tianjin-Hebei Region
Description
ChinaHighPM2.5 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). This dataset is generated from MODIS/Terra+Aqua MAIAC AOD products together with other auxiliary data (e.g., ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations) using the linear mixed effect (LME) model.
This is the MODIS/Terra+Aqua monthly 1 km ground-level PM2.5 dataset in the Beijing-Tianjin-Hebei region from 2000 to 2018, and this dataset yields a high quality with a cross-validation coefficient of determination (CV-R2) reaching 0.85 and a root-mean-square error (RMSE) of 21.49 µg m-3 on a daily basis.
If you use this dataset for related scientific research, please cite the corresponding reference (Xue et al., 2021, JCP):
Xue, W., Zhang, J., Zhong, C., Li, X., and Wei, J. Spatiotemporal PM2.5 variations and its response to the industrial structure from 2000 to 2018 in the Beijing-Tianjin-Hebei region, Journal of Cleaner Production, 2021, 279, 123742. https://doi.org/10.1016/j.jclepro.2020.123742
More CHAP datasets of different air pollutants can be found at: https://weijing-rs.github.io/product.html
Notes
Files
Xue_et_al-JCLP-2021.pdf
Files
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Additional details
Related works
- References
- Journal article: 10.1016/j.jclepro.2020.123742 (DOI)
References
- Xue, W., Zhang, J., Zhong, C., Li, X., and Wei, J. Spatiotemporal PM2.5 variations and its response to the industrial structure from 2000 to 2018 in the Beijing-Tianjin-Hebei region, Journal of Cleaner Production, 2021, 279, 123742. https://doi.org/10.1016/j.jclepro.2020.123742