Articles | Volume 16, issue 11
Model description paper
13 Jun 2023
Model description paper |  | 13 Jun 2023

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 P. Shine, Benjamin Lührs, and Florian Linke


Interactive discussion

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

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Feijia Yin on behalf of the Authors (03 Mar 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (29 Mar 2023) by Jason Williams
AR by Feijia Yin on behalf of the Authors (20 Apr 2023)  Manuscript 
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.