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http://dx.doi.org/10.5467/JKESS.2019.40.6.613

Comparison of Multi-Satellite Sea Surface Temperatures and In-situ Temperatures from Ieodo Ocean Research Station  

Woo, Hye-Jin (Department of Science Education, Seoul National University)
Park, Kyung-Ae (Department of Earth Science Education/Research Institute of Oceanography, Seoul National University)
Choi, Do-Young (Department of Science Education, Seoul National University)
Byun, Do-Seung (Ocean Research Division, Korea Hydrographic and Oceanographic Administration)
Jeong, Kwang-Yeong (Ocean Research Division, Korea Hydrographic and Oceanographic Administration)
Lee, Eun-Il (Ocean Research Division, Korea Hydrographic and Oceanographic Administration)
Publication Information
Journal of the Korean earth science society / v.40, no.6, 2019 , pp. 613-623 More about this Journal
Abstract
Over the past decades, daily sea surface temperature (SST) composite data have been produced using periodically and extensively observed satellite SST data, and have been used for a variety of purposes, including climate change monitoring and oceanic and atmospheric forecasting. In this study, we evaluated the accuracy and analyzed the error characteristic of the SST composite data in the sea around the Korean Peninsula for optimal utilization in the regional seas. We evaluated the four types of multi-satellite SST composite data including OSTIA (Operational Sea Surface Temperature and Sea Ice Analysis), OISST (Optimum Interpolation Sea Surface Temperature), CMC (Canadian Meteorological Centre) SST, and MURSST (Multi-scale Ultra-high Resolution Sea Surface Temperature) collected from January 2016 to December 2016 by using in-situ temperature data measured from the Ieodo Ocean Research Station (IORS). Each SST composite data showed biases of the minimum of 0.12℃ (OISST) and the maximum of 0.55℃ (MURSST) and root mean square errors (RMSE) of the minimum of 0.77℃ (CMC SST) and the maximum of 0.96℃ (MURSST) for the in-situ temperature measurements from the IORS. Inter-comparison between the SST composite fields exhibited biases of -0.38-0.38℃ and RMSE of 0.55-0.82℃. The OSTIA and CMC SST data showed the smallest error while the OISST and MURSST data showed the most obvious error. The results of comparing time series by extracting the SST data at the closest point to the IORS showed that there was an apparent seasonal variation not only in the in-situ temperature from the IORS but also in all the SST composite data. In spring, however, SST composite data tended to be overestimated compared to the in-situ temperature observed from the IORS.
Keywords
sea surface temperature (SST); satellite SST composite; Ieodo Ocean Research Station (IORS); validation; error characteristics;
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Times Cited By KSCI : 2  (Citation Analysis)
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