Preprints
https://doi.org/10.5194/gmd-2022-220
https://doi.org/10.5194/gmd-2022-220
Submitted as: model description paper
 | 
30 Sep 2022
Submitted as: model description paper |  | 30 Sep 2022
Status: a revised version of this preprint was accepted for the journal GMD and is expected to appear here in due course.

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, Volker Grewe, Federica Castino, Pratik Rao, Sigrun Matthes, Katrin Dahlmann, Simone Dietmüller, Christine Frömming, Hiroshi Yamashita, Patrick Peter, Emma Klingaman, Keith Shine, Benjamin Lührs, and Florian Linke

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: closed

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
    • AC1: 'Reply on RC1', Feijia Yin, 03 Mar 2023
  • RC2: 'Comment on gmd-2022-220', Anonymous Referee #2, 11 Nov 2022
    • AC2: 'Reply on RC2', Feijia Yin, 03 Mar 2023

Status: closed

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
    • AC1: 'Reply on RC1', Feijia Yin, 03 Mar 2023
  • RC2: 'Comment on gmd-2022-220', Anonymous Referee #2, 11 Nov 2022
    • AC2: 'Reply on RC2', Feijia Yin, 03 Mar 2023

Feijia Yin et al.

Viewed

Total article views: 1,079 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
780 280 19 1,079 142 16 7
  • HTML: 780
  • PDF: 280
  • XML: 19
  • Total: 1,079
  • Supplement: 142
  • BibTeX: 16
  • EndNote: 7
Views and downloads (calculated since 30 Sep 2022)
Cumulative views and downloads (calculated since 30 Sep 2022)

Viewed (geographical distribution)

Total article views: 1,034 (including HTML, PDF, and XML) Thereof 1,034 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Discussed

Latest update: 16 May 2023
Download
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.