Articles | Volume 18, issue 14
https://doi.org/10.5194/amt-18-3495-2025
https://doi.org/10.5194/amt-18-3495-2025
Research article
 | 
28 Jul 2025
Research article |  | 28 Jul 2025

Benchmarking and improving algorithms for attributing satellite-observed contrails to flights

Aaron Sarna, Vincent Meijer, Rémi Chevallier, Allie Duncan, Kyle McConnaughay, Scott Geraedts, and Kevin McCloskey

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-3664', Anonymous Referee #1, 30 Jan 2025
    • AC1: 'Reply on RC1', Aaron Sarna, 13 Mar 2025
      • AC3: 'Reply on AC1', Aaron Sarna, 13 Mar 2025
  • RC2: 'Comment on egusphere-2024-3664', Anonymous Referee #2, 07 Feb 2025
    • AC2: 'Reply on RC2', Aaron Sarna, 13 Mar 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Aaron Sarna on behalf of the Authors (24 Mar 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (28 Mar 2025) by Can Li
RR by Anonymous Referee #2 (10 Apr 2025)
RR by Anonymous Referee #1 (16 Apr 2025)
ED: Publish subject to minor revisions (review by editor) (17 Apr 2025) by Can Li
AR by Aaron Sarna on behalf of the Authors (02 May 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (09 May 2025) by Can Li
AR by Aaron Sarna on behalf of the Authors (14 May 2025)  Manuscript 
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Short summary
Contrails, the clouds formed by aircraft, are have a substantial climate impact. Determining which flight formed each contrail is a critical step to decreasing this impact. We introduce a dataset of synthetic contrail observations with known flight attributions that can be used to develop and assess geostationary-satellite-based contrail-to-flight attribution systems. We additionally introduce a new attribution algorithm and show that it outperforms previous methods.
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