Articles | Volume 15, issue 5
Atmos. Meas. Tech., 15, 1587–1608, 2022
https://doi.org/10.5194/amt-15-1587-2022
Atmos. Meas. Tech., 15, 1587–1608, 2022
https://doi.org/10.5194/amt-15-1587-2022
Research article
18 Mar 2022
Research article | 18 Mar 2022

Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 1: Synthetic dataset for validation of trace gas retrieval algorithms

Claudia Emde 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 amt-2021-336', Anonymous Referee #1, 08 Nov 2021
  • RC2: 'Comment on amt-2021-336', Anonymous Referee #2, 17 Nov 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Claudia Emde on behalf of the Authors (22 Jan 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (28 Jan 2022) by Helen Worden
RR by Anonymous Referee #2 (31 Jan 2022)
RR by Anonymous Referee #1 (01 Feb 2022)
ED: Publish subject to minor revisions (review by editor) (01 Feb 2022) by Helen Worden
AR by Claudia Emde on behalf of the Authors (04 Feb 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (06 Feb 2022) by Helen Worden
Short summary
Retrievals of trace gas concentrations from satellite observations can be affected by clouds in the vicinity, either by shadowing or by scattering of radiation from clouds in the clear region. We used a Monte Carlo radiative transfer model to generate synthetic satellite observations, which we used to test retrieval algorithms and to quantify the error of retrieved NO2 vertical column density due to cloud scattering.