Articles | Volume 11, issue 1
Atmos. Meas. Tech., 11, 385–408, 2018
Atmos. Meas. Tech., 11, 385–408, 2018

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.


Interactive discussion

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 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.