ChinaHighO3: 10 km Ground-Level Ozone Data for China

ChinaHighO3 is a long-term, full-coverage dataset of ground-level ozone (MDA8 O3) concentrations across China from 1979 to 2020. It is part of the ChinaHighAirPollutants (CHAP) series, generated by fusing ground measurements, satellite data, and atmospheric models using AI techniques. The dataset provides daily, monthly, and yearly estimates at a 10 km resolution with reported cross-validation R² of 0.87.

Use Cases

• Analyzing long-term ozone pollution trends across China based on the 1979-2020 time series.
• Mapping the spatial distribution of ground-level ozone using the seamless 10 km resolution gridded data.
• Assessing the impact of pollution mitigation policies on public health or crop yields, as referenced in related research.
• Validating atmospheric chemistry and transport models with the AI-derived, observation-constrained estimates.

Strengths

• Provides full spatial coverage (100%) for mainland China, addressing data gaps in ground monitoring networks.
• Demonstrates high accuracy with a reported daily cross-validation R² of 0.87, RMSE of 17.10 µg m⁻³, and MAE of 11.29 µg m⁻³.
• Offers long-term temporal coverage from 1979 to 2020, enabling analysis of multi-decadal trends.

Limitations

• Access to this specific 10 km version is noted as restricted, with users directed to a newer 1 km resolution version.
• The dataset's provenance is described but specific column names and data volume (rows/size) are not provided in the sources.
• Relies on inferred data types (geospatial, time-series) from descriptions as explicit column metadata is unavailable.

Provenance

Source

Generated by Jing Wei (University of Maryland, College Park) as part of the CHAP project.

Collection Method

Produced by applying artificial intelligence to fuse big data sources including ground-based measurements, satellite remote sensing, atmospheric reanalysis, and model simulations.

Time Range

1979 to 2020

Geography

China (seamless 100% coverage)