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

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

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

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

Data sets

ECMWF wind speed reanalysis data ECMWF http://apps.ecmwf.int/datasets

AERONET data GSFC https://aeronet.gsfc.nasa.gov

GOCI L1B data KOSC http://kosc.kiost.ac.kr/

MODIS DT and DB aerosol data LAADS DAAC https://ladsweb.modaps.eosdis.nasa.gov

VIIRS EDR aerosol data NOAA https://www.class.ncdc.noaa.gov

SONET data SONET http://www.sonet.ac.cn

Model code and software

libRadtran software package B. Mayer, C. Emde, J. Gasteiger, and A. Kylling http://www.libradtran.org

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.