Articles | Volume 19, issue 20
https://doi.org/10.5194/amt-19-6823-2026
https://doi.org/10.5194/amt-19-6823-2026
Review article
 | 
29 Oct 2026
Review article |  | 29 Oct 2026

Review of the Radon Tracer Method for GHG emission estimates: development, application guidelines, improvements, and caveats

Scott D. Chambers, Ute Karstens, Alan D. Griffiths, Stefan Röttger, Arnoud Frumau, Christopher T. Roulston, Peter Sperlich, Felix Vogel, Agnieszka Podstawczyńska, Dafina Kikaj, Maksym Gachkivskyi, Michel Ramonet, Blagoj Mitrevski, Janja Vaupotič, Xuemeng Chen, and Annette Röttger
Editorial note: please first read the author comment AC1 that was posted in the discussion of this preprint. The authors intend to make some additional changes to Section 3.8 of the manuscript as originally submitted. These changes are summarised and explained in author comment AC1.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • AC1: 'Comment on egusphere-2025-5042', Scott Chambers, 17 Jun 2026
  • RC1: 'Comment on egusphere-2025-5042', Anonymous Referee #1, 01 Jul 2026
    • AC2: 'Reply on RC1', Scott Chambers, 17 Jul 2026
  • RC2: 'Comment on egusphere-2025-5042', Anonymous Referee #2, 27 Aug 2026
    • AC3: 'Reply on RC2', Scott Chambers, 14 Sep 2026

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Scott Chambers on behalf of the Authors (15 Sep 2026)  Author's response   Author's tracked changes   Manuscript 
EF by Alison Downie (28 Sep 2026)  Manuscript   Author's tracked changes 
EF by Alison Downie (29 Sep 2026)  Manuscript 
ED: Publish as is (11 Oct 2026) by Abhishek Chatterjee
AR by Scott Chambers on behalf of the Authors (19 Oct 2026)  Manuscript 
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Please read the editorial note first before accessing the article.

Short summary
The Radon Tracer Method (RTM) is a top-down approach to estimate greenhouse gas emissions. While simple in principle, incorrect use can complicate interpretation of results. Based on observations from a range of contrasting sites, this article reviews the underlying assumptions and key considerations for applying the RTM. It also introduces the concept of coupling RTM analyses with nocturnal stability classification, to reduce uncertainty of fetch estimates and improve interpretation of results.
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