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

Cited 5 time in WEB OF SCIENCE Cited 4 time in Scopus
Title
Generation of high resolution sea surface temperature using multi-satellite data for operational oceanography
Author(s)
Yang, Chan-Su; Kim, Sun-Hwa; Ouchi, Kazuo; Back, Ji-Hun
KIOST Author(s)
Yang, Chan Su(양찬수)
Publication Year
2015-07
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 0.71A degrees C and the bias value was-0.08A degrees C. The largest RMSE and bias were 0.86 and-0.26A degrees C 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 0.60A degrees C 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.
ISSN
0253-505X
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/2453
DOI
10.1007/s13131-015-0694-8
Bibliographic Citation
ACTA OCEANOLOGICA SINICA, v.34, no.7, pp.74 - 88, 2015
Publisher
SPRINGER
Subject
OPTIMUM INTERPOLATION; IN-SITU; SATELLITE; MICROWAVE; ACCURACY; SHELF; WEST; SST
Keywords
SST; satellite; in-situ; high resolution; OI
Type
Article
Language
English
Document Type
Article
Publisher
SPRINGER
Related Researcher
Research Interests

Satellite Oceanography,Marine Safety & Security,Remote Sensing,위성해양학,해양 안전 및 보안,원격탐사

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