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

Jeong, U.; Kim, J.; Ahn, C.; Torres, O.; Liu, X.; Bhartia, P. K.; Spurr, R. J. D.; Haffner, D.; Chance, K.; Holben, B. N.

doi:https://doi.org/10.5194/acp-16-177-2016

Articles | Volume 16, issue 1

https://doi.org/10.5194/acp-16-177-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Meso-scale aerosol processes, comparison and validation studies...

https://doi.org/10.5194/acp-16-177-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 16, issue 1

Research article

|

18 Jan 2016

Research article |

| 18 Jan 2016

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

U. Jeong, J. Kim, C. Ahn, O. Torres, X. Liu, P. K. Bhartia, R. J. D. Spurr, D. Haffner, K. Chance, and B. N. Holben

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Final revised paper (published on 18 Jan 2016)
Preprint (discussion started on 18 Jun 2015)

Interactive discussion

Status: closed

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

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RC C4874: 'review comments', Anonymous Referee #2, 14 Jul 2015
RC C6700: 'Referee comments on “An online aerosol retrieval algorithm using OMI near-UV observations based on the optimal estimation method” by Jeong et al.', Anonymous Referee #1, 09 Sep 2015
AC C8343: 'Response to the comments by Reviewer 1', Jhoon Kim, 22 Oct 2015
AC C8350: 'Response to Reviewer 2', Jhoon Kim, 22 Oct 2015

Peer-review completion

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

AR by Jhoon Kim on behalf of the Authors (01 Dec 2015)

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.