Supplementary Dataset and Figures of "AIRTRAC v2.0: a Lagrangian aerosol tagging submodel for the analysis of aviation SO₄ transport patterns"

This dataset accompanies the journal article entitled "<strong>AIRTRAC v2.0: a Lagrangian aerosol tagging submodel for the analysis of aviation SO</strong>₄<strong> transport patterns"</strong>. It comprises six simulations conducted with the newly developed <strong>AIRTRAC v2.0 </strong>submodel, integrated within the ECHAM/MESSy Atmospheric Chemistry (EMAC) model framework.<br>Two of these simulations comprise the <strong>Lagrangian dataset </strong>used to track the production and transport of sulfate aerosols (<strong>SO₄)</strong> resulting from aviation emissions of <strong>SO₂ and H₂SO₄</strong>. These species are emitted at points following the SO₂ mass flux distributions from the 2015 CMIP6 aviation emissions inventory (after applying the correction of Thor et al. (2023)) and injected at a pressure altitude of approximately 240 hPa (~10.6 km). The magnitude of the total emitted SO₂ corresponds approximately to the global total from one day of aviation activity in 2015 (Righi et al., 2023).<br>The remaining four simulations are part of a <strong>perturbation experiment </strong>designed to validate the AIRTRAC v2.0 submodel. For each period, a pair of simulations was conducted: one with aviation SO₂ and H₂SO₄ emissions and one without. The simulation without emissions serves as a reference case.<br>All simulations span two ~90-day periods: <strong>January 1–March 31, 2015 </strong>and <strong>July 1–September 30, 2015</strong>.<br>The repository also includes <strong>supplementary figures</strong> that accompany the main article.<br>The code for the <strong>EP_Selector tool, </strong>which was developed to automatically define a set of pulse emission points that closely align with sustained emissions from any given emissions inventory used in simulations, may be consulted in Maruhashi et al. (2025).<br>For further details, please consult the README file.<br><strong>References:</strong>Maruhashi, J., Grewe, V. and Dedoussi, I.C.: Supporting dataset and code for the PhD dissertation "Characterizing the transport patterns and climate effects of aviation emissions using a novel Lagrangian tagging method", Version 1. 4TU.ResearchData, dataset, https://doi.org/10.4121/79bcd360-04fc-4efc-a908-09874b9703c5.v1, 2025.<br>Thor, R. N., Mertens, M., Matthes, S., Righi, M., Hendricks, J., Brinkop, S., Graf, P., Grewe, V., Jöckel, P., and Smith, S.: An inconsistency in aviation emissions between CMIP5 and CMIP6 and the implications for short-lived species and their radiative forcing, Geosci. Model Dev., 16, 1459–1466, https://doi.org/10.5194/gmd-16-1459-2023, 2023.<br>Righi, M., Hendricks, J., and Brinkop, S.: The global impact of the transport sectors on the atmospheric aerosol and the resulting climate effects under the Shared Socioeconomic Pathways (SSPs), Earth Syst. Dynam., 14, 835–859, https://doi.org/10.5194/esd-14-835-2023, 2023.