Data accompanying the manuscript "Decision-Making strategies implemented in SolFinder 1.0 to identify eco-efficient aircraft trajectories: application study in AirTraf 3.0"

This dataset contains the properties of optimized aircraft trajectories, exploring trade-offs between reducing flight operating costs (considering flight time and fuel used) and climate impact. The objective of the dataset is to allow the comparison of optimal solutions selected using different decision-making strategies. The dataset was obtained running the ECHAM/MESSy Atmospheric Chemistry (EMAC) model and its submodel AirTraf, including the newly developed SolFinder module. The dataset was used to obtain the results presented in Castino, F., et al.: Decision-Making strategies implemented in SolFinder 1.0 to identify eco-efficient aircraft trajectories: application study in AirTraf 3.0, submitted to Geosci. Model Dev., 2023.

本数据集收录了优化后航空器航迹的相关属性，旨在探究降低航班运行成本（兼顾飞行时长与燃油消耗）与减轻气候影响之间的权衡关系。本数据集的核心目标是支持对采用不同决策策略筛选得到的最优解开展对比分析。本数据集通过运行ECHAM/MESSy大气化学（ECHAM/MESSy Atmospheric Chemistry, EMAC）模型及其子模型AirTraf生成，其中纳入了新研发的SolFinder模块。本数据集曾用于获取Castino F. 等人2023年提交给《Geosci. Model Dev.》的研究成果，相关论文题为《SolFinder 1.0中用于识别生态经济型航空器航迹的决策策略：AirTraf 3.0应用研究》。