Aerosol-type retrieval and uncertainty quantification from OMI data

Kauppi, Anu; Kolmonen, Pekka; Laine, Marko; Tamminen, Johanna

doi:https://doi.org/10.5194/amt-10-4079-2017

Articles | Volume 10, issue 11

https://doi.org/10.5194/amt-10-4079-2017

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

Special issue:

Ten years of Ozone Monitoring Instrument (OMI) observations...

https://doi.org/10.5194/amt-10-4079-2017

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

Articles | Volume 10, issue 11

Research article

|

01 Nov 2017

Research article |

| 01 Nov 2017

Aerosol-type retrieval and uncertainty quantification from OMI data

Anu Kauppi, Pekka Kolmonen, Marko Laine, and Johanna Tamminen

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Final revised paper (published on 01 Nov 2017)
Supplement to the final revised paper
Preprint (discussion started on 22 Mar 2017)

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC1: 'Review of Aerosol type retrieval and uncertainty quantification from OMI data by Anu Kauppi et al. amt-2017-47', Anonymous Referee #1, 27 Mar 2017
- AC1: 'Replies to Reviewer #1', Anu Kauppi, 14 Jul 2017
RC2: 'Review for amt-2017-47', Anonymous Referee #2, 19 May 2017
- AC2: 'Replies to Reviewer #2', Anu Kauppi, 14 Jul 2017

Peer-review completion

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

AR by Anu Kauppi on behalf of the Authors (18 Jul 2017) Author's response Manuscript

ED: Referee Nomination & Report Request started (19 Jul 2017) by Omar Torres

RR by Anonymous Referee #1 (08 Aug 2017)

RR by Anonymous Referee #2 (18 Aug 2017)

ED: Publish subject to minor revisions (Editor review) (18 Aug 2017) by Omar Torres

AR by Anu Kauppi on behalf of the Authors (01 Sep 2017) Author's response Manuscript

ED: Publish as is (07 Sep 2017) by Omar Torres

AR by Anu Kauppi on behalf of the Authors (15 Sep 2017)

Short summary

The paper focuses on the aerosol microphysical model selection and characterisation of uncertainty in the retrieved aerosol type and aerosol optical depth (AOD). The proposed method is based on Bayesian inference approach and can account for the model error and also include the model selection uncertainty in the total uncertainty budget. The method is applied to OMI measurements but is also applicable to other instruments. The retrieval was evaluated by comparison with ground-based measurements.