Articles | Volume 17, issue 4
https://doi.org/10.5194/amt-17-1347-2024
https://doi.org/10.5194/amt-17-1347-2024
Research article
 | 
29 Feb 2024
Research article |  | 29 Feb 2024

Level0 to Level1B processor for MethaneAIR

Eamon K. Conway, Amir H. Souri, Joshua Benmergui, Kang Sun, Xiong Liu, Carly Staebell, Christopher Chan Miller, Jonathan Franklin, Jenna Samra, Jonas Wilzewski, Sebastien Roche, Bingkun Luo, Apisada Chulakadabba, Maryann Sargent, Jacob Hohl, Bruce Daube, Iouli Gordon, Kelly Chance, and Steven Wofsy

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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 amt-2023-111', Anonymous Referee #1, 03 Aug 2023
  • RC2: 'Comment on amt-2023-111', Anonymous Referee #2, 09 Aug 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Eamon Conway on behalf of the Authors (12 Sep 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (01 Oct 2023) by Meng Gao
RR by Anonymous Referee #1 (07 Oct 2023)
RR by Anonymous Referee #3 (07 Nov 2023)
ED: Publish subject to technical corrections (22 Nov 2023) by Meng Gao
AR by Eamon Conway on behalf of the Authors (15 Dec 2023)  Author's response   Manuscript 
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Short summary
The work presented here describes the processes required to convert raw sensor data for the MethaneAIR instrument to geometrically calibrated data. Each algorithm is described in detail. MethaneAIR is the airborne simulator for MethaneSAT, a new satellite under development by MethaneSAT LLC, a subsidiary of the EDF. MethaneSAT's goals are to precisely map over 80 % of the production sources of methane emissions from oil and gas fields across the globe to a high degree of accuracy.