Supplementary Figures of "Transport Patterns of Global Aviation NOx and their Short-term O3 Radiative Forcing – A Machine Learning Approach"

doi: 10.4121/20338212.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/20338212
Datacite citation style:
Maruhashi, Jin; Grewe, Volker; Frömming, Christine; Jöckel, Patrick; Irene C Dedoussi (2022): Supplementary Figures of "Transport Patterns of Global Aviation NOx and their Short-term O3 Radiative Forcing – A Machine Learning Approach". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/20338212.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Delft University of Technology logo
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time coverage
2014
licence
cc-by.png logo CC BY 4.0

All supplementary figures for the article "Transport Patterns of Global Aviation NOx and their Short-term O3 Radiative Forcing - A Machine Learning Approach" are included. A list of figures with a brief description is also provided in the document "List of Supplementary Figures.pdf".

history
  • 2022-10-17 first online, published, posted
publisher
4TU.ResearchData
format
PNG and PDF
funding
  • Advancing the Science for Aviation and ClimAte (grant code 875036) [more info...] European Commission
organizations
TU Delft, Faculty of Aerospace Engineering, Section Aircraft Noise and Climate Effects

Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre

DATA

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