Articles | Volume 15, issue 20
https://doi.org/10.5194/amt-15-5877-2022
https://doi.org/10.5194/amt-15-5877-2022
Research article
 | 
19 Oct 2022
Research article |  | 19 Oct 2022

Algorithm theoretical basis for ozone and sulfur dioxide retrievals from DSCOVR EPIC

Xinzhou Huang and Kai Yang

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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-2022-156', Anonymous Referee #1, 29 Jun 2022
  • RC2: 'Comment on amt-2022-156', Anonymous Referee #2, 30 Jun 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Kai Yang on behalf of the Authors (01 Aug 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (29 Aug 2022) by Michel Van Roozendael
RR by Anonymous Referee #1 (07 Sep 2022)
ED: Publish as is (15 Sep 2022) by Michel Van Roozendael
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Short summary
This paper describes the algorithm for O3 and SO2 retrievals from DSCOVR EPIC. Algorithm advances, including the improved O3 profile representation and the regulated direct fitting inversion technique, improve the accuracy of O3 and SO2 from the multi-channel measurements of DSCOVR EPIC. A thorough error analysis is provided to quantify O3 and SO2 retrieval uncertainties due to various error sources and simplified algorithm physics treatments.