ChinaHighCO: Ground-level Carbon Monoxide Concentrations in Eastern China, 2013-2020

ChinaHighCO provides full-coverage, high-resolution ground-level carbon monoxide data for Eastern China from 2013 to 2020. The dataset is generated using artificial intelligence that fuses ground measurements, satellite remote sensing, atmospheric reanalysis, and model simulations. Jing Wei from the University of Maryland, College Park created this dataset, which reports a daily cross-validation R² of 0.80 and an RMSE of 0.29 µg m⁻³.

Use Cases

• Analyzing long-term trends in ground-level carbon monoxide based on the 2013-2020 yearly time series.
• Validating atmospheric chemistry models using the high-accuracy data with reported CV-R² of 0.80.
• Studying the spatiotemporal heterogeneity of air pollution across Eastern China based on the 0.1-degree gridded product.
• Assessing regional air quality and policy impacts using the full-coverage, high-resolution data fusion from multiple sources.

Strengths

• High accuracy with a reported daily cross-validation coefficient of determination (CV-R²) of 0.80.
• Full spatial coverage for Eastern China at a high resolution of 0.1 degrees (approximately 10 km).
• Long-term temporal coverage spanning 8 years from 2013 to 2020.
• Generated from a fusion of multiple big data sources including ground measurements and satellite remote sensing.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is specific to Eastern China, which may limit generalizability to other regions.
• Last update date is unknown; freshness unverified.

Provenance

Source

Jing Wei, University of Maryland, College Park

Collection Method

Generated using artificial intelligence by fusing ground-based measurements, satellite remote sensing products, atmospheric reanalysis, and model simulations.

Time Range

2013 to 2020

Geography

Eastern China