GOCI Yonsei aerosol retrieval version 2 products: an improved algorithm and error analysis with uncertainty estimation from 5-year validation over East Asia

Choi, Myungje; Kim, Jhoon; Lee, Jaehwa; Kim, Mijin; Park, Young-Je; Holben, Brent; Eck, Thomas F.; Li, Zhengqiang; Song, Chul H.

doi:https://doi.org/10.5194/amt-11-385-2018

Articles | Volume 11, issue 1

Atmos. Meas. Tech., 11, 385–408, 2018

https://doi.org/10.5194/amt-11-385-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Atmos. Meas. Tech., 11, 385–408, 2018

https://doi.org/10.5194/amt-11-385-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 1

Research article 17 Jan 2018

Research article | 17 Jan 2018

GOCI Yonsei aerosol retrieval version 2 products: an improved algorithm and error analysis with uncertainty estimation from 5-year validation over East Asia

Myungje Choi et al.

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Final revised paper (published on 17 Jan 2018)
Preprint (discussion started on 07 Aug 2017)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Reply to Choi et al. 2017', Anonymous Referee #1, 16 Aug 2017
- AC4: 'Response to RC1', Jhoon Kim, 06 Dec 2017
- AC6: 'Revised manuscript', Jhoon Kim, 06 Dec 2017
RC2: 'Solid improvement of geostationary hourly AOD retrieval over East Asia', Anonymous Referee #3, 30 Oct 2017
- AC5: 'Response to RC2', Jhoon Kim, 06 Dec 2017
- AC6: 'Revised manuscript', Jhoon Kim, 06 Dec 2017

Peer-review completion

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

AR by Jhoon Kim on behalf of the Authors (06 Dec 2017) Author's response Manuscript

ED: Publish as is (07 Dec 2017) by Alexander Kokhanovsky

Short summary

This study is a major version upgrade of the aerosol product from GOCI, the first and unique ocean color imager in geostationary earth orbit. It describes the improvement of version 2 of the GOCI Yonsei aerosol retrieval algorithm for near-real-time processing with improved accuracy from the modification of cloud masking, surface reflectance, etc. The product is validated against AERONET/SONET over East Asia with analyses of various errors features, and a pixel-level uncertainty is calculated.