Sampling bias adjustment for sparsely sampled satellite measurements applied to ACE-FTS carbonyl sulfide observations

Kloss, Corinna; von Hobe, Marc; Höpfner, Michael; Walker, Kaley A.; Riese, Martin; Ungermann, Jörn; Hassler, Birgit; Kremser, Stefanie; Bodeker, Greg E.

doi:https://doi.org/10.5194/amt-12-2129-2019

Articles | Volume 12, issue 4

https://doi.org/10.5194/amt-12-2129-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-12-2129-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 4

Research article

|

08 Apr 2019

Research article |

| 08 Apr 2019

Sampling bias adjustment for sparsely sampled satellite measurements applied to ACE-FTS carbonyl sulfide observations

Corinna Kloss, Marc von Hobe, Michael Höpfner, Kaley A. Walker, Martin Riese, Jörn Ungermann, Birgit Hassler, Stefanie Kremser, and Greg E. Bodeker

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Final revised paper (published on 08 Apr 2019)
Preprint (discussion started on 12 Jul 2018)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of: On sampling bias adjustment for sparsely observing satellite instruments for the example of carbonyl sulfide (OCS) by Kloss et al.', Anonymous Referee #1, 01 Sep 2018
- AC1: 'Response to RC 1', Corinna Kloss, 25 Nov 2018
RC2: 'Reviewer comments', Anonymous Referee #2, 19 Oct 2018
- AC2: 'Response to RC 2', Corinna Kloss, 25 Nov 2018

Peer-review completion

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

AR by Corinna Kloss on behalf of the Authors (28 Feb 2019) Author's response Manuscript

ED: Publish as is (21 Mar 2019) by Justus Notholt

AR by Corinna Kloss on behalf of the Authors (21 Mar 2019)

Short summary

Are regional and seasonal averages from only a few satellite measurements, all aligned along a specific path, representative? Probably not. We present a method to adjust for the so-called sampling bias and investigate its influence on derived long-term trends. The method is illustrated and validated for a long-lived trace gas (carbonyl sulfide), and it is shown that the influence of the sampling bias is too small to change scientific conclusions on long-term trends.