Published August 17, 2020 | Version 1
Dataset Restricted

ChinaHighO3: OMI/Aura 25 km Ground-level O3 Dataset for China (Closed)

Authors/Creators

  • 1. University of Maryland

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 OMI/Aura-derived yearly 25 km ground-level O3 products in China from 2005 to 2019, and this dataset yields a high quality with a cross-validation coefficient of determination (CV-R2) of 0.84 and a root-mean-square error (RMSE) of 20.11 µg m-3 on a daily basis.

Note that this dataset is closed access since a longer-term, seamless, high-resolution (10 km), and higher quality ChinaHighO3 dataset is available at: https://doi.org/10.5281/zenodo.4400042

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

Notes

Note that this dataset is continuously updated, and if you want to apply for more data or have any questions, please contact me (Email: weijing_rs@163.com; weijing.rs@gmail.com).

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Additional details

Related works

Is referenced by
Journal article: 10.1016/j.rse.2020.112136 (DOI)

References

  • Wei, J., Li, Z., Lyapustin, A., Sun, L., Peng, Y., Xue, W., Su, T., and Cribb, M. Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications. Remote Sensing of Environment, 2021, 252, 112136. https://doi.org/10.1016/j.rse.2020.112136