ChinaHighNO2: OMI/Aura 25 km Ground-level NO2 Dataset for China (Closed)
<p>ChinaHighNO<sub>2</sub> 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. </p> <p>This is the OMI/Aura-derived yearly 25 km ground-level O<sub>3</sub> products in China from 2005 to 2019, and this dataset yields a high quality with a cross-validation coefficient of determination (CV-R<sup>2</sup>) of 0.72 and a root-mean-square error (RMSE) of 9.97 µg m<sup>-3</sup> on a daily basis.</p> <p><strong>Note that this dataset is closed access since a longer-term, seamless, high-resolution (10 km), and higher quality ChinaHighNO<sub>2</sub> dataset is available at: <a href="https://doi.org/10.5281/zenodo.4641542">https://doi.org/10.5281/zenodo.4641542</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
20/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 8
- Access
- 0
- Reuse readiness
- 0
- Engagement
- 4