Submitted as: model description paper
30 Sep 2022
Submitted as: model description paper | 30 Sep 2022
Status: this preprint is currently under review for the journal GMD.

Predicting the climate impact of aviation for en-route emissions: The algorithmic climate change function submodel ACCF 1.0 of EMAC 2.53

Feijia Yin1, Volker Grewe1,2, Federica Castino1, Pratik Rao1, Sigrun Matthes2, Katrin Dahlmann2, Simone Dietmüller2, Christine Frömming2, Hiroshi Yamashita2, Patrick Peter2, Emma Klingaman3, Keith Shine3, Benjamin Lührs4, and Florian Linke4 Feijia Yin et al.
  • 1Delft University of Technology, Faculty of Aerospace Engineering, 2629HS, Delft, the Netherlands
  • 2Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, 82234 Wessling, Germany
  • 3University of Reading, Department of Meteorology, RG6 6AH Reading, United Kingdom
  • 4Deutsches Zentrum für Luft- und Raumfahrt, Institut für Lufttransportsysteme, 21079 Hamburg, Germany

Abstract. The Modular Earth Submodel System (MESSy) provides an interface to couple submodels to a base model via a modular flexible data management facility. This paper presents the newly developed MESSy submodel, ACCF version 1.0 (ACCF 1.0), based on algorithmic Climate Change Functions version 1.0 (aCCFs 1.0), which describes the climate impact of aviation emissions. The ACCF 1.0 is coupled via the second version of the standard MESSy infrastructure. ACCF 1.0 takes the simulated atmospheric conditions at the location of emission as input to calculate the climate impact (in terms of average temperature response over 20 years (ATR20)) of aviation emissions, including CO2 and non-CO2 impacts, such as from NOx emissions (via ozone production and methane destruction), water vapour emissions, and contrail-cirrus. The online calculated ATR20 value per emitted mass fuel burn or flown-kilometer using ACCF 1.0 in the ECHAM5/MESSy Atmospheric Chemistry (EMAC) model is presented. We perform quality checks of the ACCF 1.0 outputs in two aspects. Firstly, we compare climatological values calculated by the ACCF 1.0 to previous studies. Secondly, we evaluate the reduction of NOx-induced O3 effects through trajectory optimization, employing the tagging chemistry approach (contribution approach to tag species according to their emission categories and to inherit these tags to other species during the subsequent chemical reactions). Finally, we couple the ACCF 1.0 to the air traffic simulation submodel AirTraf version 2.0 and demonstrate the variability of the flight trajectories when the efficacy of individual effect is considered.

Feijia Yin et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2022-220', Anonymous Referee #1, 14 Oct 2022
  • RC2: 'Comment on gmd-2022-220', Anonymous Referee #2, 11 Nov 2022

Feijia Yin et al.


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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, for the first time, describe a consistent set of aCCFs formulas w.r.t. fuel scenario and metrics. We demonstrate the usage of ACCF submodel using AirTraf V2.0 to optimize trajectories for cost and climate impact.