Articles | Volume 17, issue 19
https://doi.org/10.5194/amt-17-5861-2024
https://doi.org/10.5194/amt-17-5861-2024
Research article
 | 
07 Oct 2024
Research article |  | 07 Oct 2024

Local and regional enhancements of CH4, CO, and CO2 inferred from TCCON column measurements

Kavitha Mottungan, Chayan Roychoudhury, Vanessa Brocchi, Benjamin Gaubert, Wenfu Tang, Mohammad Amin Mirrezaei, John McKinnon, Yafang Guo, David W. T. Griffith, Dietrich G. Feist, Isamu Morino, Mahesh K. Sha, Manvendra K. Dubey, Martine De Mazière, Nicholas M. Deutscher, Paul O. Wennberg, Ralf Sussmann, Rigel Kivi, Tae-Young Goo, Voltaire A. Velazco, Wei Wang, and Avelino F. Arellano Jr.

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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-2024-705', Anonymous Referee #1, 23 Apr 2024
    • AC1: 'Authors' response to all comments on amt-2024-705', Avelino F. Arellano, 25 Jun 2024
  • RC2: 'Comment on egusphere-2024-705', Anonymous Referee #2, 03 Jun 2024
    • AC1: 'Authors' response to all comments on amt-2024-705', Avelino F. Arellano, 25 Jun 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Avelino F. Arellano on behalf of the Authors (25 Jun 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (31 Jul 2024) by Abhishek Chatterjee
AR by Avelino F. Arellano on behalf of the Authors (02 Aug 2024)  Manuscript 
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Short summary
A combination of data analysis techniques is introduced to separate local and regional influences on observed levels of carbon dioxide, carbon monoxide, and methane from an established ground-based remote sensing network. We take advantage of the covariations in these trace gases to identify the dominant type of sources driving these levels. Applying these methods in conjunction with existing approaches to other datasets can better address uncertainties in identifying sources and sinks.