Articles | Volume 16, issue 1
Atmos. Chem. Phys., 16, 177–193, 2016
https://doi.org/10.5194/acp-16-177-2016

Special issue: Meso-scale aerosol processes, comparison and validation studies...

Atmos. Chem. Phys., 16, 177–193, 2016
https://doi.org/10.5194/acp-16-177-2016

Research article 18 Jan 2016

Research article | 18 Jan 2016

An optimal-estimation-based aerosol retrieval algorithm using OMI near-UV observations

U. Jeong et al.

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jhoon Kim on behalf of the Authors (27 Oct 2015)  Author's response    Manuscript
ED: Publish as is (25 Nov 2015) by Paola Formenti
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Short summary
An aerosol retrieval and error analysis algorithm using OMI measurements based on an optimal-estimation method was developed in this study. The aerosol retrievals were validated using the DRAGON campaign products. The estimated errors of the retrievals represented the actual biases between retrieval and AERONET measurements well. The retrievals, with their estimated uncertainties, are expected to be valuable for relevant studies, such as trace gas retrieval and data assimilation.
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