Articles | Volume 25, issue 22
https://doi.org/10.5194/acp-25-15969-2025
https://doi.org/10.5194/acp-25-15969-2025
Research article
 | 
18 Nov 2025
Research article |  | 18 Nov 2025

Intercomparison of global ground-level ozone datasets for health-relevant metrics

Hantao Wang, Kazuyuki Miyazaki, Haitong Zhe Sun, Zhen Qu, Xiang Liu, Antje Inness, Martin Schultz, Sabine Schröder, Marc Serre, and J. Jason West

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Short summary
We compare six datasets of global ground-level ozone, developed using geostatistical, machine learning, or reanalysis methods. The datasets show important differences from one another in ozone magnitude, greater than 5 ppb, and trends, globally and regionally. Compared with measurements, performance varies among datasets, and most overestimate ozone, particularly at lower concentrations. These differences among datasets highlight uncertainties for applications to health and other impacts.
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