Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 7
Articles | Volume 19, issue 7
https://doi.org/10.5194/gmd-19-2747-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-2747-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 7
Development and technical paper
 | 
10 Apr 2026
Development and technical paper |  | 10 Apr 2026

AIRTRAC v2.0: a Lagrangian aerosol tagging submodel for the analysis of aviation SO4 transport patterns

Jin Maruhashi, Mattia Righi, Monica Sharma, Johannes Hendricks, Patrick Jöckel, Volker Grewe, and Irene C. Dedoussi

Supplement

https://doi.org/10.5194/gmd-19-2747-2026-supplement

Data sets

Supplementary Dataset and Figures of "AIRTRAC v2.0: a Lagrangian aerosol tagging submodel for the analysis of aviation SO₄ transport patterns" Jin Maruhashi et al. https://doi.org/10.4121/8d2cdb5f-b652-41db-95a2-5345b4c1e77c

Model code and software

Version 2.55.2_no-branch_7639642e_airtrac-SO4 Jin Maruhashi et al. https://doi.org/10.5281/zenodo.15965933

The Modular Earth Submodel System The MESSy Consortium https://doi.org/10.5281/zenodo.8360186

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Short summary
Aerosol-cloud interactions remain a major source of uncertainty in assessing aviation's net climate impact. We develop and evaluate a new Lagrangian tagging model that tracks aviation-emitted SO2 and H2SO4 as they are chemically transformed into SO4 aerosols and transported throughout the atmosphere. This development allows the identification of atmospheric regions with elevated potential for aerosol–cloud interactions driven by SO4 from aircraft.
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