Inter-Comparisons of Daily Sea Surface Temperatures and In-Situ Temperatures in the Coastal Regions
Open accessAbstract
In this study, seven, global, blended, sea surface temperature (SST) analyses, including Operational SST and Sea Ice Analysis (OSTIA), Canadian Meteorological Centre (CMC) analysis, Optimum Interpolation SST (OISST), Remote Sensing System (REMSS) analysis, Multi-scale Ultra-high Resolution SST (MURSST), Merged Satellite and In situ Data Global Daily SST (MGDSST), and Geo-Polar Blended SST (Blended SST) were conducted. In-situ temperature measurements were used for the years 2014–2018, from 35 narrowly-spaced buoys distributed along the Korean Peninsula coast, to investigate how well the SST analyses represent the temperatures at the coastal regions. Contrary to the overall accuracy of the SSTs in the global ocean and offshore regions, the root-mean-square errors for the analyses were relatively large over 1.27 K. Specifically, all SST analyses resulted in warm biases over 0.31 K, which became quite distinctive in the western and the southwestern coastal regions. Investigation of the errors identified relationships with the coastal zones of vigorous tidal mixing, shallow bathymetry, and absence of microwave measurements. Overall, temporal wavelet coherency between in-situ measurements and SST products revealed high coherency of greater than 0.8 in periods longer than 180 days, however, low coherency (<0.5) in the period shorter than 10 days was observed. Inter-comparisons between the SST analyses illustrated clear spatial differences in the correlations at both the coastal regions, along the southwestern coast of the Korean Peninsula and in the frontal regions, and in the marginal seas of the Northwest Pacific. Overall, the results emphasized on the importance of using real-time in-situ measurements as much as possible, to overcome the increasing SST errors in coastal regions.
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Cited by
Still being checked.
- Authors
- Woo, H.-J., & Park, K.-A.
- Affiliations
- Seoul National University (KR)
- Corresponding author
- Park, Kyung-Ae
- Venue
- Remote Sensing
- Publisher
- MDPI AG
- Published
- 2020-05-16
- Volume
- 12
- Issue
- 10
- Pages
- 1592
- ISSN
- 2072-4292 (ISSN-L)
- OpenAlex
- W3025128737
- Semantic Scholar
- 2b89d44e10227fc00b9e4d74a1c53f29d1555553
- Cited by
- 51
- References
- 80
- Citations by year
- 2026: 7 · 2025: 12 · 2024: 13 · 2023: 4 · 2022: 7 · 2021: 6 · 2020: 2
- FWCI
- 2.25
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Remote Sensing (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Research Foundation of Korea (2020R1A2C2009464)
- Topics
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Ocean Waves and Remote Sensing
- Keywords
- sea surface temperature, SST bias, tidal mixing, shallow bathymetry, wavelet coherence, Korean coast
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