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ChinaHighO3: Big Data Seamless 10 km Ground-level MDA8 O3 Dataset for China

<p>ChinaHighO<sub>3</sub>&nbsp;is one of the series of long-term,&nbsp;full-coverage,&nbsp;high-resolution, and&nbsp;high-quality datasets of ground-level air pollutants for China (i.e., ChinaHighAirPollutants, CHAP). It is generated from the big data&nbsp;(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.&nbsp;</p> <p>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) O<sub>3</sub>&nbsp;dataset in China&nbsp;from 1979 to 2020.&nbsp;This dataset yields a high quality with&nbsp;a&nbsp;cross-validation coefficient of determination (CV-R<sup>2</sup>) of 0.87,&nbsp;a root-mean-square error (RMSE) of 17.10 &micro;g m<sup>-3</sup>, and a mean absolute error (MAE) of 11.29 &micro;g m<sup>-3</sup> on a daily basis.</p> <p>If you use the ChinaHighO<sub>3</sub> dataset for related scientific research, please cite the corresponding reference (Wei et al., RSE, 2022; He et al., 2022):</p> <ul> <li> <p>Wei, J., Li, Z., Li, K., Dickerson, R., Pinker, R., Wang, J., Liu, X., Sun, L., Xue, W., and Cribb, M.&nbsp;<a href="https://weijing-rs.github.io/publications/Wei_et_al-RSE-2022.pdf">Full-coverage mapping and spatiotemporal variations of ground-level ozone (O<sub>3</sub>) pollution from 2013 to 2020 across China</a>.&nbsp;<em>Remote Sensing of Environment</em>, 2022, 270, 112775. https://doi.org/10.1016/j.rse.2021.112775</p> </li> <li> <p>He, L.,&nbsp;Wei, J., Wang, Y., Shang, Q., Liu, J., Yin, Y., Frankerberg, C., Jiang, J., Li, Z., and Yung, Y.&nbsp;<a href="https://weijing-rs.github.io/publications/He_et_al-EF-2022.pdf">Marked impacts of pollution mitigation on crop yields in China</a>.&nbsp;<em>Earth's Future</em>, 2022, 10, e2022EF002936. https://doi.org/10.1029/2022EF002936</p> </li> </ul> <p><strong>Note that access to this dataset is now restricted, as a longer-term (2000 to present), high-resolution (1 km), and higher quality ChinaHighO<sub>3</sub> dataset is now available:&nbsp; <a href="http://doi.org/10.5281/zenodo.10477125">http://doi.org/10.5281/zenodo.10477125</a></strong></p> <p><strong>More CHAP datasets of different air pollutants can be found at: <a href="https://weijing-rs.github.io/product.html">https://weijing-rs.github.io/product.html</a></strong></p>

ShareScore

28/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
8
Access
8
Reuse readiness
0
Engagement
4

Topics

Dataset details

Repository
zenodo
Published
December 29, 2020
License
cc-by-4.0
DOI
10.5281/zenodo.4400042

Scored with release 0.9.0

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