Articles | Volume 21, issue 22
Research article
 | Highlight paper
17 Nov 2021
Research article | Highlight paper |  | 17 Nov 2021

A sulfur dioxide Covariance-Based Retrieval Algorithm (COBRA): application to TROPOMI reveals new emission sources

Nicolas Theys, Vitali Fioletov, Can Li, Isabelle De Smedt, Christophe Lerot, Chris McLinden, Nickolay Krotkov, Debora Griffin, Lieven Clarisse, Pascal Hedelt, Diego Loyola, Thomas Wagner, Vinod Kumar, Antje Innes, Roberto Ribas, François Hendrick, Jonas Vlietinck, Hugues Brenot, and Michel Van Roozendael


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2021-294', Anonymous Referee #1, 25 Jul 2021
  • RC2: 'Comment on acp-2021-294', Neil Harris, 30 Jul 2021
  • AC1: 'Comment on acp-2021-294', Nicolas Theys, 27 Sep 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Nicolas Theys on behalf of the Authors (27 Sep 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to technical corrections (15 Oct 2021) by Neil Harris
AR by Nicolas Theys on behalf of the Authors (19 Oct 2021)  Manuscript 
Short summary
We present a new algorithm to retrieve sulfur dioxide from space UV measurements. We apply the technique to high-resolution TROPOMI measurements and demonstrate the high sensitivity of the approach to weak SO2 emissions worldwide with an unprecedented limit of detection of 8 kt yr−1. This result has broad implications for atmospheric science studies dealing with improving emission inventories and identifying and quantifying missing sources, in the context of air quality and climate.
Final-revised paper