Articles | Volume 18, issue 22
https://doi.org/10.5194/amt-18-6933-2025
https://doi.org/10.5194/amt-18-6933-2025
Research article
 | 
24 Nov 2025
Research article |  | 24 Nov 2025

The Carbon Mapper emissions monitoring system

Riley Duren, Daniel Cusworth, Alana Ayasse, Katherine Howell, Alex Diamond, Tia Scarpelli, Jinsol Kim, Kelly O'neill, Judy Lai-Norling, Andrew Thorpe, Sander R. Zandbergen, Lucas Shaw, Mark Keremedjiev, Jeff Guido, Paul Giuliano, Malkam Goldstein, Ravi Nallapu, Geert Barentsen, David R. Thompson, Keely Roth, Daniel Jensen, Michael Eastwood, Frances Reuland, Taylor Adams, Adam Brandt, Eric A. Kort, James Mason, and Robert O. Green

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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-2025-2275', Anonymous Referee #1, 14 Jul 2025
    • AC1: 'Reply on RC1', Riley Duren, 07 Sep 2025
  • RC2: 'Comment on egusphere-2025-2275', Anonymous Referee #2, 02 Aug 2025
    • AC2: 'Reply on RC2', Riley Duren, 07 Sep 2025

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Riley Duren on behalf of the Authors (08 Sep 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (15 Sep 2025) by Otto Hasekamp
RR by Anonymous Referee #1 (29 Sep 2025)
ED: Publish subject to technical corrections (07 Oct 2025) by Otto Hasekamp
AR by Riley Duren on behalf of the Authors (16 Oct 2025)  Author's response   Manuscript 
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Short summary
We describe the Carbon Mapper emissions monitoring system including methane and carbon dioxide observations from the constellation of Tanager hyperspectral satellites, a global monitoring strategy optimized for enabling mitigation impact at the scale of individual facilities, and a data platform that delivers timely and transparent information for diverse stakeholders. We present early findings from Tanager-1 including the use of our data to locate and repair a leaking oil and gas pipeline.
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