The tilt effect in DOAS observations

Lampel, Johannes; Wang, Yang; Hilboll, Andreas; Beirle, Steffen; Sihler, Holger; Puķīte, Janis; Platt, Ulrich; Wagner, Thomas

doi:https://doi.org/10.5194/amt-10-4819-2017

Articles | Volume 10, issue 12

https://doi.org/10.5194/amt-10-4819-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/amt-10-4819-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 10, issue 12

Research article

|

12 Dec 2017

Research article |

| 12 Dec 2017

The tilt effect in DOAS observations

Johannes Lampel, Yang Wang, Andreas Hilboll, Steffen Beirle, Holger Sihler, Janis Puķīte, Ulrich Platt, and Thomas Wagner

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Final revised paper (published on 12 Dec 2017)
Preprint (discussion started on 03 Jul 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'review of Lampel et al.', Anonymous Referee #1, 04 Jul 2017
- AC1: 'Answers to all three reviews', Johannes Lampel, 11 Oct 2017
RC2: 'Referee Comment: "The tilt-effect in DOAS observations", Lampel et al.', Anonymous Referee #3, 31 Jul 2017
RC3: 'Review of Lampel et al', Anonymous Referee #2, 07 Aug 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Johannes Lampel on behalf of the Authors (11 Oct 2017) Author's response Manuscript

ED: Publish as is (31 Oct 2017) by Michel Van Roozendael

AR by Johannes Lampel on behalf of the Authors (01 Nov 2017)

Short summary

Experience of differential atmospheric absorption spectroscopy (DOAS) shows that a spectral shift between measurement and reference spectrum is frequently required in order to achieve optimal fit results. The shift is often attributed to temporal instabilities of the instrument but implicitly solved the problem of the tilt effect discussed in this paper. The tilt effect results from the finite resolution of the measurements and amounts to 2 pm for the example data set.