Articles | Volume 19, issue 14
https://doi.org/10.5194/amt-19-4703-2026
https://doi.org/10.5194/amt-19-4703-2026
Research article
 | 
22 Jul 2026
Research article |  | 22 Jul 2026

Impact of Sentinel-5 SWIR detector persistence on trace gas retrievals

Mari C. Martinez-Velarte, Jochen Landgraf, Ben Veihelmann, Bernd Sierk, and Tobias Borsdorff

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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-2025-6328', Anonymous Referee #1, 25 Jan 2026
    • AC1: 'Reply on RC1', Tobias Borsdorff, 04 May 2026
  • RC2: 'Comment on egusphere-2025-6328', Anonymous Referee #2, 11 Mar 2026
    • AC2: 'Reply on RC2', Tobias Borsdorff, 04 May 2026
  • RC3: 'Comment on egusphere-2025-6328', Anonymous Referee #3, 27 Mar 2026
    • AC3: 'Reply on RC3', Tobias Borsdorff, 04 May 2026

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Tobias Borsdorff on behalf of the Authors (07 May 2026)  Manuscript 
EF by Mario Ebel (08 May 2026)  Author's response   Author's tracked changes 
ED: Referee Nomination & Report Request started (08 May 2026) by Andrew Sayer
RR by Anonymous Referee #2 (18 May 2026)
ED: Publish subject to technical corrections (27 May 2026) by Andrew Sayer
AR by Tobias Borsdorff on behalf of the Authors (28 May 2026)  Manuscript 

Post-review adjustments

AA – Author's adjustment | EA – Editor approval
AA by Tobias Borsdorff on behalf of the Authors (14 Jul 2026)   Author's adjustment   Manuscript
EA: Adjustments approved (14 Jul 2026) by Andrew Sayer
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Short summary
Launched in August 2025, Sentinel-5 provides daily CH4 and CO retrievals and is sensitive to CO2. Its shortwave-infrared (SWIR) mercury-cadmium-telluride (MCT) detectors exhibit persistence effects causing scene-dependent biases. This study quantifies these biases for CH4, CO, CO2, and the CH4/CO2 proxy using RemoTeC over regions with high radiance variability. Typical biases are small (<0.34 %), but outliers reach 1.59–4.01 %. Targeted post-filtering can reduce outliers and meet mission performance.
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