ChinaHighO3: Big Data Seamless 10 km Ground-level MDA8 O3 Dataset for China
Creators
- 1. University of Maryland
- 2. Nanjing University of Information Science and Technology
- 3. University of Iowa
- 4. Harvard Smithsonian Center for Astrophysics
- 5. Shandong University of Science and Technology
- 6. Qingdao University
Description
ChinaHighO3 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 maximum 8-hour average (MDA8) O3 dataset in China from 1979 to 2020. This dataset yields a high quality with a cross-validation coefficient of determination (CV-R2) of 0.87, a root-mean-square error (RMSE) of 17.10 µg m-3, and a mean absolute error (MAE) of 11.29 µg m-3 on a daily basis.
If you use the ChinaHighO3 dataset for related scientific research, please cite the corresponding reference (Wei et al., RSE, 2022; He et al., 2022):
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Wei, J., Li, Z., Li, K., Dickerson, R., Pinker, R., Wang, J., Liu, X., Sun, L., Xue, W., and Cribb, M. Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China. Remote Sensing of Environment, 2022, 270, 112775. https://doi.org/10.1016/j.rse.2021.112775
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He, L., Wei, J., Wang, Y., Shang, Q., Liu, J., Yin, Y., Frankerberg, C., Jiang, J., Li, Z., and Yung, Y. Marked impacts of pollution mitigation on crop yields in China. Earth's Future, 2022, 10, e2022EF002936. https://doi.org/10.1029/2022EF002936
Note that access to this dataset is now restricted, as a longer-term (2000 to present), high-resolution (1 km), and higher quality ChinaHighO3 dataset is now available: http://doi.org/10.5281/zenodo.10477125
More CHAP datasets of different air pollutants can be found at: https://weijing-rs.github.io/product.html
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Related works
- Is referenced by
- Journal article: 10.1016/j.rse.2021.112775 (DOI)
References
- Wei, J., Li, Z., Li, K., Dickerson, R., Pinker, R., Wang, J., Liu, X., Sun, L., Xue, W., and Cribb, M. Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China. Remote Sensing of Environment, 2022, 270, 112775. https://doi.org/10.1016/j.rse.2021.112775