Data and code underlying the publication "Alternative climate metrics to the Global Warming Potential are more suitable for assessing aviation non-CO2 effects"

Data and code accompanying Megill et al. (2024): "Alternative climate metrics to the Global Warming Potential are more suitable for assessing aviation non-CO2 effects", published in Communications Earth & Environment. This dataset contains all data and code developed during research towards the linked article and contains all elements required to reproduce the linked figures and analysis.

The data was generated using the V2.1 of the climate-chemistry response model AirClim (Grewe and Stenke, 2008; Dahlmann et al., 2016, see References). The dataset includes analyses of the full aviation industry (scenarios CORSIA, COVID15s, CurTec, Fa1 and FP2050 from Grewe et al., 2021, see References) and of individual, theoretical aircraft designs of Category 4 (152 - 201 seats). Trajectory data is taken from DLR WeCare (Grewe et al., 2017, see References). The analysis of the results is performed with four Jupyter notebooks running Python.

All data files are licensed under a CC-BY 4.0. All Jupyter notebooks and the Python script are licensed under an Apache License v2.0.

Please note: The software code AirClim is confidential proprietary information of the DLR and cannot be made available to the public or readers without restrictions. Licensing of the code to third parties is conditioned upon the prior conclusion of a licensing agreement with the DLR. Qualified researchers can request an agreement on reasonable request from the corresponding author.