Supporting dataset and code for the PhD dissertation "Characterizing the transport patterns and climate effects of aviation emissions using a novel Lagrangian tagging method"

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.<br>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.<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 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. <br>For further details, please consult the README file and the dissertation.

本仓库支撑题为《使用新型拉格朗日标记法（Lagrangian tagging method）表征航空排放的传输模式与气候效应》的博士论文第六章。
本仓库包含基于全新开发的**AIRTRAC v2.0**子模型开展的6组模拟试验，该子模型集成于ECHAM/MESSy大气化学（ECHAM/MESSy Atmospheric Chemistry, EMAC）模型框架之中。
其中2组模拟构成用于追踪航空排放的二氧化硫（SO₂）与硫酸（H₂SO₄）所生成的可溶性艾特肯（Aitken）模态及积聚模态硫酸根气溶胶（SO₄）的产生与传输过程的**拉格朗日数据集（Lagrangian dataset）**。这些排放源点位遵循2015年耦合模式比较计划第六阶段（CMIP6）航空排放清单的二氧化硫质量通量分布，注入高度约为240百帕（hPa）的气压层。全球总排放的二氧化硫总量对应单日全球航空活动的排放总量。
剩余4组模拟属于用于验证AIRTRAC v2.0子模型的**扰动实验（perturbation experiment）**。针对每个时段，均开展两组模拟：一组包含航空SO₂与H₂SO₄排放，另一组不包含排放，后者作为对照工况。
所有模拟均覆盖两段90天的时段：**2015年1月1日—3月31日**与**2015年7月1日—9月30日**。
本仓库还包含用于**EP_selector工具**的Python代码，该工具可自动定义一组脉冲排放点位，使其与模拟所用任意给定排放清单中的持续排放情况高度匹配。
如需进一步细节，请查阅README文件与该博士论文。