Retrieval of sea surface temperatue from FY-3A VIRR data

IGARSS(2011)

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摘要
FENGYUN-3A (FY-3A) is the second generation polar-orbiting meteorological satellite of China which was launched on May, 7, 2008. The Visible infrared scanning radiometer (VIRR) onboard FY-3A has 10 1-km resolution channels, with infrared split-window channels for sea surface temperature (SST) observations. FY-3A VIRR SST products are distributed by the National satellite Meteorological Center (NSMC), China Meteorological Administration (CMA). The comparisons between buoy SST and FY-3A SST products show that the bias and standard deviation are -0.59K and 1.31K respectively. In order to obtain more accurate SST from FY-3A VIRR data, new SST retrieval coefficients of the Multi-channel SST (MCSST) algorithm were generated using the matchups of VIRR bright temperature (BT) and buoy SST in 2009 and 2010. Two years FY-3A level-1 data were processed with MCSST algorithm and cloud detection. The bias and standard deviation between buoy SST and new VIRR split-window are -0.01K and 0.75K for daytime and for nighttime, are -0.04K and 0.72K. The results show that it is promising to retrieve high quality SST products from VIRR data.
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关键词
remote sensing,virr,atmospheric techniques,virr bright temperature,mcsst,sea surface temperature,sst retrieval coefficient,polar orbiting meteorological satellite,fy-3a,geophysical image processing,national satellite meteorological center,multichannel sst algorithm,image retrieval,radiometers,infrared split window channel,ad 2009,ad 2010,fengyun-3a,visible infrared scanning radiometer,sst,fy-3a virr data,seawater,china meteorological administration,atmospheric temperature,ocean temperature,satellites,accuracy
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