10.4121/dd38833d-6c5d-47d8-bb10-7535ce1eecf1.v2

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Supporting dataset for "Multi-model assessment of the atmospheric and radiative effects of supersonic transport aircraft" Dataset

Jurriaan van 't Hoff, Didier Hauglustaine, Johannes Pletzer, Agnieszka Skowron, Volker Grewe, Sigrun Matthes, Maximilian M. Meuser, Robin N. Thor, Irene C Dedoussi,
This dataset is a supporting dataset for "Intermodel comparison of the atmospheric composition changes due to emissions from a potential future supersonic aircraft fleet" (https://doi.org/10.5194/acp-25-2515-2025). This dataset contains all data necessary to reproduce the results of the publication.
In this work four state-of-the-science atmospheric chemistry transport models (EMAC, GEOS-Chem, LMDZ-INCA, MOZART-3) are used to evaluate the effects of three supersonic emission scenarios on a 2050 atmosphere. The future atmosphere and emissions are based on the SSP 3.7 scenario.
For each of the models this dataset includes the volume mixing ratio (vmr) and mass distribution of several key species through the atmosphere during the last years of model integration. The LMDZ-INCA and GEOS-Chem data span a 3 year interval, whereas 6 years of data is provided for EMAC and the MOZART-3 data is already annually averaged. We refer to the associated publication for more information regarding these timescales.
The dataset contains …

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