Generation of high resolution sea surface temperature using multi-satellite data for operational oceanography

YANG Chan-Su; KIM Sun-Hwa; OUCHI Kazuo; BACK Ji-Hun

doi:10.1007/s13131-015-0694-8

doi: 10.1007/s13131-015-0694-8

1.
Korea Ocean Satellite Center, Korea Institute of Ocean Science & Technology (KIOST), Ansan 426-744, Korea;Ocean Science and Technology School, Korea Maritime and Ocean University, Busan 606-791, Korea;Marine Environmental System Science, Korea University of Science and Technology, Daejeon 305-350, Korea
2.
Korea Ocean Satellite Center, Korea Institute of Ocean Science & Technology (KIOST), Ansan 426-744, Korea

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- 收稿日期: 2014-06-04
- 修回日期: 2015-01-12

Generation of high resolution sea surface temperature using multi-satellite data for operational oceanography

1.
Korea Ocean Satellite Center, Korea Institute of Ocean Science & Technology (KIOST), Ansan 426-744, Korea;Ocean Science and Technology School, Korea Maritime and Ocean University, Busan 606-791, Korea;Marine Environmental System Science, Korea University of Science and Technology, Daejeon 305-350, Korea
2.
Korea Ocean Satellite Center, Korea Institute of Ocean Science & Technology (KIOST), Ansan 426-744, Korea

摘要

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Abstract: In the present article, we introduce a high resolution sea surface temperature (SST) product generated daily by Korea Institute of Ocean Science and Technology (KIOST). The SST product is comprised of four sets of data including eight-hour and daily average SST data of 1 km resolution, and is based on the four infrared (IR) satellite SST data acquired by advanced very high resolution radiometer (AVHRR), Moderate Resolution Imaging Spectroradiometer (MODIS), Multifunctional Transport Satellites-2 (MTSAT-2) Imager and Meteorological Imager (MI), two microwave radiometer SSTs acquired by Advanced Microwave Scanning Radiometer 2 (AMSR2), and WindSAT with in-situ temperature data. These input satellite and in-situ SST data are merged by using the optimal interpolation (OI) algorithm. The root-mean-square-errors (RMSEs) of satellite and in-situ data are used as a weighting value in the OI algorithm. As a pilot product, four SST data sets were generated daily from January to December 2013. In the comparison between the SSTs measured by moored buoys and the daily mean KIOST SSTs, the estimated RMSE was 0.71℃ and the bias value was -0.08℃. The largest RMSE and bias were 0.86 and -0.26℃ respectively, observed at a buoy site in the boundary region of warm and cold waters with increased physical variability in the Sea of Japan/East Sea. Other site near the coasts shows a lower RMSE value of 0.60℃ than those at the open waters. To investigate the spatial distributions of SST, the Group for High Resolution Sea Surface Temperature (GHRSST) product was used in the comparison of temperature gradients, and it was shown that the KIOST SST product represents well the water mass structures around the Korean Peninsula. The KIOST SST product generated from both satellite and buoy data is expected to make substantial contribution to the Korea Operational Oceanographic System (KOOS) as an input parameter for data assimilation.
- SST /
- satellite /
- in-situ /
- high resolution /
- OI

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参考文献(24)

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文章访问数: 1237
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doi: 10.1007/s13131-015-0694-8

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Generation of high resolution sea surface temperature using multi-satellite data for operational oceanography

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