ChinaHighNO2: 10 km Ground-level Nitrogen Dioxide Data for China, 2013-2020

From 2013 to 2020, this dataset provides daily, monthly, and yearly estimates of ground-level nitrogen dioxide (NO2) concentrations across China at a 10 km resolution. It was generated by Jing Wei at the University of Maryland using artificial intelligence to fuse ground measurements, satellite data, and atmospheric models. The dataset is noted as an old version that has been closed since a new version was published.

Use Cases

• Analyzing long-term NO2 pollution trends across China based on the 2013-2020 time series.
• Modeling population exposure to air pollutants based on the seamless 10 km spatial coverage.
• Validating atmospheric chemistry models based on the high-quality, AI-derived estimates with reported CV-R² of 0.84.
• Studying the spatiotemporal heterogeneity of air pollution as mentioned in the description.

Strengths

• Provides full spatial coverage (100%) across China.
• Offers data at daily, monthly, and yearly temporal resolutions from 2013 to 2020.
• Reports a high validation score with a cross-validation R² of 0.84 and RMSE of 7.99 µg m⁻³ on a daily basis.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is noted as an old, closed version, suggesting newer data may be available.

Provenance

Source

University of Maryland, College Park

Collection Method

Generated using AI to fuse ground-based measurements, satellite remote sensing, atmospheric reanalysis, and model simulations.

Time Range

2013 to 2020

Freshness

Last update date is unknown; freshness unverified.

Geography

China