cff-version: 1.2.0
abstract: "<p>This repository supports Chapter 6 of the PhD dissertation titled <strong><em>"Characterizing the transport patterns and climate effects of aviation emissions using a novel Lagrangian tagging method"</em></strong><em>.</em> It contains six simulations conducted with the newly developed <strong>AIRTRAC v2.0</strong> submodel, integrated within the ECHAM/MESSy Atmospheric Chemistry (EMAC) model framework.</p><p><br></p><p>Two of these simulations comprise the <strong>Lagrangian dataset</strong> used to track the production and transport of sulfate aerosols (<strong>SO₄</strong> in the soluble Aitken and accumulation modes) 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 and injected at a pressure altitude of approximately 240 hPa. The magnitude of total emitted SO₂ corresponds to the global total from one day of aviation activity.</p><p><br></p><p>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.</p><p><br></p><p>All simulations span two 90-day periods: <strong>January 1–March 31, 2015</strong> and <strong>July 1–September 30, 2015</strong>.</p><p><br></p><p>The repository also includes the Python 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. </p><p><br></p><p>For further details, please consult the README file and the dissertation.</p>"
authors:
  - family-names: Maruhashi
    given-names: Jin
    orcid: "https://orcid.org/0000-0003-2667-4161"
  - family-names: Grewe
    given-names: Volker
    orcid: "https://orcid.org/0000-0002-8012-6783"
  - family-names: C Dedoussi
    given-names: Irene
    orcid: "https://orcid.org/0000-0002-8966-9469"
title: "Supporting dataset and code for the PhD dissertation &#34;Characterizing the transport patterns and climate effects of aviation emissions using a novel Lagrangian tagging method&#34;"
keywords:
version: 1
identifiers:
  - type: doi
    value: 10.4121/79bcd360-04fc-4efc-a908-09874b9703c5.v1
license: CC BY-NC 4.0
date-released: 2025-06-03