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 (CurTec and BAU from Grewe et al., 2021, see References). Emission inventory data is generated by TUDelft internal emission inventory calculation model (Kroon, 2022, see References). All data files are licensed under a CC-BY 4.0.
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.
" authors: - family-names: Boerboom given-names: Luc - family-names: Gangoli Rao given-names: Arvind - family-names: Grewe given-names: Volker orcid: "https://orcid.org/0000-0002-8012-6783" - family-names: Yin given-names: Feijia orcid: "https://orcid.org/0000-0002-6081-9136" title: "Data and code accompanying the manuscript "A comprehensive well-to-wake climate impact assessment of Sustainable Aviation Fuel"" keywords: version: 1 identifiers: - type: doi value: 10.4121/eb623e28-e88b-45c4-83bc-928849c57c08.v1 license: CC BY 4.0 date-released: 2025-01-23