ChinaHighCO: Big Data Seamless 1 km Ground-level CO dataset for China (2019-Present)

ChinaHighCO 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 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 1 km (i.e., D1K, M1K, and Y1K) ground-level CO dataset in China from 2019 to the present. This dataset yields a high quality with a cross-validation coefficient of determination (CV-R2) of 0.80, a root-mean-square error (RMSE) of 0.29 mg m-3, and a mean absolute error (MAE) of 0.16 mg m-3 on a daily basis.

If you use the ChinaHighCO dataset for related scientific research, please cite the corresponding reference (Wei et al., ACP, 2023), and the reference will be updated once our new paper is accepted:

Wei, J., Li, Z., Wang, J., Li, C., Gupta, P., and Cribb, M. Ground-level gaseous pollutants (NO2, SO2, and CO) in China: daily seamless mapping and spatiotemporal variations. Atmospheric Chemistry and Physics, 2023, 23, 1511–1532. https://doi.org/10.5194/acp-23-1511-2023

Note that the ChinaHighCO dataset is also available for periods before 2019, but with a spatial resolution of 10 km:

        all (including daily) data for the years 2013-2018 is accessible at: https://doi.org/10.5281/zenodo.4641530

        Continuously updated...

More CHAP datasets of different air pollutants can be found at: https://weijing-rs.github.io/product.html