Articles | Volume 14, issue 1
Atmos. Meas. Tech., 14, 1–35, 2021
https://doi.org/10.5194/amt-14-1-2021
Atmos. Meas. Tech., 14, 1–35, 2021
https://doi.org/10.5194/amt-14-1-2021

Research article 04 Jan 2021

Research article | 04 Jan 2021

Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies on field data from the CINDI-2 campaign

Jan-Lukas Tirpitz et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jan-Lukas Tirpitz on behalf of the Authors (08 May 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (28 Jul 2020) by Rainer Volkamer
RR by Anonymous Referee #1 (27 Aug 2020)
RR by Anonymous Referee #2 (11 Sep 2020)
ED: Publish subject to minor revisions (review by editor) (29 Sep 2020) by Rainer Volkamer
AR by Jan-Lukas Tirpitz on behalf of the Authors (23 Oct 2020)  Author's response    Manuscript
ED: Publish subject to technical corrections (05 Nov 2020) by Rainer Volkamer
AR by Jan-Lukas Tirpitz on behalf of the Authors (06 Nov 2020)  Author's response    Manuscript
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Short summary
Multi-axis differential optical absorption spectroscopy (MAX-DOAS) is a ground-based remote sensing measurement technique that derives atmospheric aerosol and trace gas vertical profiles from skylight spectra. In this study, consistency and reliability of MAX-DOAS profiles are assessed by applying nine different evaluation algorithms to spectral data recorded during an intercomparison campaign in the Netherlands and by comparing the results to colocated supporting observations.