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

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

doi:10.5194/gmd-19-5765-2026

Articles | Volume 19, issue 12

https://doi.org/10.5194/gmd-19-5765-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-19-5765-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 12

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

Data sets

TOAR-classifier v2: A data-driven classification tool for global air quality stations Ramiyou Karim Mache et al. https://doi.org/10.5281/zenodo.15411286

Model code and software

TOAR-classifier v2: A data-driven classification tool for global air quality stations Ramiyou Karim Mache et al. https://doi.org/10.5281/zenodo.15411286

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.