Articles | Volume 19, issue 12
https://doi.org/10.5194/gmd-19-5765-2026
https://doi.org/10.5194/gmd-19-5765-2026
Methods for assessment of models
 | 
01 Jul 2026
Methods for assessment of models |  | 01 Jul 2026

TOAR-classifier v2: a data-driven classification tool for global air quality stations

Ramiyou Karim Mache, Sabine Schröder, Michael Langguth, Ankit Patnala, and Martin G. Schultz

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Short summary
The TOAR-classifier model is a data-driven tool that allows for an objective classification of air quality measuring stations as urban, rural, or suburban. Such classification is important in the analysis of air pollutant trends and regional signatures. The model is employed in the second Tropospheric Ozone Assessment Report but can also be used in other research work.
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