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.

该数据集包含优化的飞机轨迹特性，探索降低飞行运营成本（考虑飞行时间与燃料消耗）与气候影响之间的权衡关系。数据集的目标是支持对不同决策策略所选取的最优解进行比较。该数据集通过运行ECHAM/MESSy大气化学模型（EMAC）及其子模型AirTraf（含新开发的SolFinder模块）获得。该数据集被用于获取Castino, F.等人论文中呈现的结果——《SolFinder 1.0中实现的决策策略：识别生态高效飞机轨迹的AirTraf 3.0应用研究》，该论文已提交至《Geosci. Model Dev.》（2023年）。