GOCI Yonsei Aerosol Retrieval (YAER) algorithm and validation during the DRAGON-NE Asia 2012 campaign
The Geostationary Ocean Color Imager (GOCI) onboard the Communication, Ocean, and Meteorological Satellite (COMS) is the first multi-channel ocean color imager in geostationary orbit. Hourly GOCI top-of-atmosphere radiance has been available for the retrieval of aerosol optical properties over East...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2016-04-01
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| Series: | Atmospheric Measurement Techniques |
| Online Access: | http://www.atmos-meas-tech.net/9/1377/2016/amt-9-1377-2016.pdf |
| Summary: | The Geostationary Ocean Color Imager (GOCI) onboard the Communication,
Ocean, and Meteorological Satellite (COMS) is the first multi-channel ocean
color imager in geostationary orbit. Hourly GOCI top-of-atmosphere radiance
has been available for the retrieval of aerosol optical properties over East
Asia since March 2011. This study presents improvements made to the GOCI
Yonsei Aerosol Retrieval (YAER) algorithm together with validation results
during the Distributed Regional Aerosol Gridded Observation Networks – Northeast Asia 2012 campaign (DRAGON-NE Asia 2012 campaign). The evaluation
during the spring season over East Asia is important because of high aerosol
concentrations and diverse types of Asian dust and haze. Optical
properties of aerosol are retrieved from the GOCI YAER algorithm including
aerosol optical depth (AOD) at 550 nm, fine-mode fraction (FMF) at 550 nm,
single-scattering albedo (SSA) at 440 nm, Ångström exponent (AE) between 440
and 860 nm, and aerosol type. The aerosol models are created based on a
global analysis of the Aerosol Robotic Networks (AERONET) inversion data,
and covers a broad range of size distribution and absorptivity, including
nonspherical dust properties. The Cox–Munk ocean bidirectional reflectance
distribution function (BRDF) model is used over ocean, and an improved minimum
reflectance technique is used over land. Because turbid water is persistent
over the Yellow Sea, the land algorithm is used for such cases. The aerosol
products are evaluated against AERONET observations and MODIS Collection 6
aerosol products retrieved from Dark Target (DT) and Deep Blue (DB)
algorithms during the DRAGON-NE Asia 2012 campaign conducted from March to
May 2012. Comparison of AOD from GOCI and AERONET resulted in a Pearson
correlation coefficient of 0.881 and a linear regression equation with GOCI
AOD = 1.083 × AERONET AOD − 0.042. The correlation between GOCI
and MODIS AODs is higher over ocean than land. GOCI AOD shows better
agreement with MODIS DB than MODIS DT. The other GOCI YAER products (AE,
FMF, and SSA) show lower correlation with AERONET than AOD, but still show
some skills for qualitative use. |
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| ISSN: | 1867-1381 1867-8548 |