Articles | Volume 10, issue 11
https://doi.org/10.5194/amt-10-4079-2017
https://doi.org/10.5194/amt-10-4079-2017
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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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 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
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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.