ChinaHighPMC: Daily 1 km PM₂.₅ Chemical Composition for Eastern China (2013–2020)

From 2013 to 2020, this dataset provides daily, monthly, and yearly 1 km resolution ground-level PM₂.₅ chemical composition data for Eastern China. It was generated by Jing Wei and colleagues at the University of Maryland using AI to integrate ground measurements, satellite data, atmospheric reanalysis, and model simulations. The dataset includes concentrations of sulfate (SO₄²⁻), nitrate (NO₃⁻), ammonium (NH₄⁺), and chloride (Cl⁻) ions.

Use Cases

• Modeling long-term trends in specific PM₂.₅ components based on the daily, monthly, and yearly time-series data.
• Analyzing the spatial distribution of sulfate and nitrate pollution across Eastern China based on the 1 km resolution grid.
• Validating atmospheric chemistry models using the dataset's reported cross-validation R² and RMSE metrics for each chemical species.
• Studying source apportionment of air pollution by correlating chemical composition data with emission inventories.

Strengths

• High spatial resolution of 1 km and seamless 100% coverage for Eastern China.
• Reported high quality with daily cross-validation R² values ranging from 0.66 to 0.75 for the four chemical components.
• Generated from multiple big data sources using AI, accounting for spatiotemporal heterogeneity.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's temporal coverage is explicitly 2013–2020, despite the title's claim of 2000–present.

Provenance

Source

University of Maryland, College Park, as part of the ChinaHighAirPollutants (CHAP) series.

Collection Method

Generated using artificial intelligence from ground measurements, satellite remote sensing, atmospheric reanalysis, and model simulations.

Time Range

2013 to 2020

Freshness

Last update date is unknown; freshness unverified.

Geography

Eastern China