Articles | Volume 21, issue 22
Atmos. Chem. Phys., 21, 16727–16744, 2021
https://doi.org/10.5194/acp-21-16727-2021
Atmos. Chem. Phys., 21, 16727–16744, 2021
https://doi.org/10.5194/acp-21-16727-2021
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 et al.

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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 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
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
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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.
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