Articles | Volume 16, issue 11
https://doi.org/10.5194/gmd-16-3313-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-3313-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Predicting the climate impact of aviation for en-route emissions: the algorithmic climate change function submodel ACCF 1.0 of EMAC 2.53
Faculty of Aerospace Engineering, Delft University of Technology,
2629HS, Delft, the Netherlands
Volker Grewe
Faculty of Aerospace Engineering, Delft University of Technology,
2629HS, Delft, the Netherlands
Institut für
Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt, 82234 Wessling, Germany
Federica Castino
Faculty of Aerospace Engineering, Delft University of Technology,
2629HS, Delft, the Netherlands
Pratik Rao
Faculty of Aerospace Engineering, Delft University of Technology,
2629HS, Delft, the Netherlands
Sigrun Matthes
Institut für
Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt, 82234 Wessling, Germany
Katrin Dahlmann
Institut für
Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt, 82234 Wessling, Germany
Simone Dietmüller
Institut für
Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt, 82234 Wessling, Germany
Christine Frömming
Institut für
Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt, 82234 Wessling, Germany
Hiroshi Yamashita
Institut für
Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt, 82234 Wessling, Germany
Patrick Peter
Institut für
Physik der Atmosphäre, Deutsches Zentrum für Luft- und Raumfahrt, 82234 Wessling, Germany
Emma Klingaman
Department of Meteorology, University of Reading, Reading, RG6 6ET,
UK
now at: Institute for Environmental Analytics, University of Reading, Reading RG6 6BX, UK
Keith P. Shine
Department of Meteorology, University of Reading, Reading, RG6 6ET,
UK
Benjamin Lührs
Institut für
Lufttransportsysteme, Deutsches Zentrum für Luft- und Raumfahrt, 21079 Hamburg, Germany
Florian Linke
Institut für
Lufttransportsysteme, Deutsches Zentrum für Luft- und Raumfahrt, 21079 Hamburg, Germany
Data sets
Data accompanying the manuscript "Predicting the climate impact of aviation for en-route emissions: The algorithmic climate change function submodel ACCF 1.0 of EMAC 2.53" Feijia Yin, Federica Castino, and Pratik Rao https://doi.org/10.4121/bea8a3fe-e34c-4598-9f94-c5a5c63348e5.v1
Short summary
This paper describes a newly developed submodel ACCF V1.0 based on the MESSy 2.53.0 infrastructure. The ACCF V1.0 is based on the prototype algorithmic climate change functions (aCCFs) v1.0 to enable climate-optimized flight trajectories. One highlight of this paper is that we describe a consistent full set of aCCFs formulas with respect to fuel scenario and metrics. We demonstrate the usage of the ACCF submodel using AirTraf V2.0 to optimize trajectories for cost and climate impact.
This paper describes a newly developed submodel ACCF V1.0 based on the MESSy 2.53.0...