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.
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.
the Creative Commons Attribution 4.0 License.
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
Department of Atmospheric Sciences, Yonsei University, Seoul, Republic
of Korea
Department of Atmospheric Sciences, Yonsei University, Seoul, Republic
of Korea
Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, USA
Jaehwa Lee
Earth System Science Interdisciplinary Center, University of Maryland,
College Park, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Mijin Kim
Department of Atmospheric Sciences, Yonsei University, Seoul, Republic
of Korea
Young-Je Park
Korea Ocean Satellite Center, Korea Institute of Ocean Science and
Technology, Ansan, Republic of Korea
Brent Holben
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Thomas F. Eck
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Universities Space Research Association, Columbia, MD, USA
Zhengqiang Li
State Environmental Protection Key Laboratory of Satellite Remote
Sensing, Institute of Remote Sensing and Digital Earth, Chinese Academy of
Sciences, Beijing, China
Chul H. Song
School of Environmental Science and Engineering, Gwangju Institute of
Science and Technology (GIST), Gwangju, Republic of Korea
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Latest update: 23 Nov 2024
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.
This study is a major version upgrade of the aerosol product from GOCI, the first and unique...