Data on Climate-Optimized Aircraft Trajectories in European Airspace for 2022

Routing_options_2.0%_SOC_different_routing_penalization_limits.ipynb This notebook analyzes one year of trajectory optimization data, considering a maximum 2.0% increase in operational cost and varying limits on the number of rerouted flights. Routing_options_main_paper.ipynb This notebook analyzes one year of trajectory optimization data for multiple limits on operational cost increases (i.e., 0.0% (cost-optimal), 0.2%, and 2.0%) and different rerouting constraints.

It generates the figures currently included in the paper. Routing_options_up_to_3.0%_SOC_unrestricted_rerouting.ipynb This notebook analyzes one year of trajectory optimization data with operational cost increases of up to 3.0% and no restrictions on rerouted flights. Traffic_scenario_sensitivity_analysis.ipynb This notebook performs sensitivity analysis for scaled-up traffic scenarios (refer to Figure S8).

Solution Picking Algorithm: The repository also includes a folder named "Solution_Picking," which implements the decision-making algorithm described in the Method section of the paper. An example is provided, corresponding to Supplementary Figure S16. --- Software Requirements The following Python packages are required to run the Jupyter Notebooks: Package Version numpy 1.20.3 pandas 1.4.2 matplotlib 3.5.0 pyomo 6.4.3 coopr 4.0.9597 coopr-pyomo 3.6.4 glpk 5.0 seaborn 0.13.2 Instructions 1.

Ensure Python is installed (Python 3.8.5 is recommended). 2. Install the required packages using the following command: ```bashpip install numpy==1.20.3 pandas==1.4.2 matplotlib==3.5.0 pyomo==6.4.3 coopr==4.0.9597 seaborn==0.13.2``` 3. Install GLPK for optimization.

Instructions for GLPK installation can be found on the official GNU GLPK website here.