Articles | Volume 19, issue 7
https://doi.org/10.5194/gmd-19-2747-2026
https://doi.org/10.5194/gmd-19-2747-2026
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

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Cited articles

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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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