{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:44:46Z","timestamp":1760237086863,"version":"build-2065373602"},"reference-count":41,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2020,2,26]],"date-time":"2020-02-26T00:00:00Z","timestamp":1582675200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the National Research Foundation of Korea","award":["NRF-2016R1A6A1A03012647"],"award-info":[{"award-number":["NRF-2016R1A6A1A03012647"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The sea surface temperature (SST) is essential data for the ocean and atmospheric prediction systems and climate change studies. Five global gridded sea surface temperature products were evaluated with independent in situ SST data of the Yellow Sea (YS) from 2010 to 2013 and the sources of SST error were identified. On average, SST from the gridded optimally interpolated level 4 (L4) datasets had a root mean square difference (RMSD) of less than 1 \u00b0C compared to the in situ observation data of the YS. However, the RMSD was relatively high (2.3 \u00b0C) in the shallow coastal region in June and July and this RMSD was mostly attributed to the large warm bias (&gt;2 \u00b0C). The level 3 (L3) SST data were frequently missing in early summer because of frequent sea fog formation and a strong (&gt;1.2 \u00b0C\/12 km) spatial temperature gradient across the tidal mixing front in the eastern YS. The missing data were optimally interpolated from the SST observation in offshore warm water and warm biased SST climatology in the region. To fundamentally improve the accuracy of the L4 gridded SST data, it is necessary to increase the number of SST observation data in the tidally well mixed region. As an interim solution to the warm bias in the gridded SST datasets in the eastern YS, the SST climatology for the optimal interpolation can be improved based on long-term in situ observation data. To reduce the warm bias in the gridded SST products, two bias correction methods were suggested and compared. Bias correction methods using a simple analytical function and using climatological observation data reduced the RMSD by 19\u201329% and 37\u201349%, respectively, in June.<\/jats:p>","DOI":"10.3390\/rs12050759","type":"journal-article","created":{"date-parts":[[2020,2,27]],"date-time":"2020-02-27T03:21:16Z","timestamp":1582773676000},"page":"759","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Assessment and Improvement of Global Gridded Sea Surface Temperature Datasets in the Yellow Sea Using In Situ Ocean Buoy and Research Vessel Observations"],"prefix":"10.3390","volume":"12","author":[{"given":"Kyungman","family":"Kwon","sequence":"first","affiliation":[{"name":"Department of Oceanography, Chonnam National University, Gwangju 61186, Korea"},{"name":"Research Institute for Basic Science, Chonnam National University, Gwangju 61186, Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2503-1087","authenticated-orcid":false,"given":"Byoung-Ju","family":"Choi","sequence":"additional","affiliation":[{"name":"Department of Oceanography, Chonnam National University, Gwangju 61186, Korea"}]},{"given":"Sung-Dae","family":"Kim","sequence":"additional","affiliation":[{"name":"Korea Institute of Ocean Science and Technology, Busan 49111, Korea"}]},{"given":"Sang-Ho","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Oceanography, Kunsan National University, Gunsan 54150, Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8899-7201","authenticated-orcid":false,"given":"Kyung-Ae","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Earth Science Education\/Research Institute of Oceanography, Seoul National University, Seoul 08826, Korea"}]}],"member":"1968","published-online":{"date-parts":[[2020,2,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"420","DOI":"10.3389\/fmars.2019.00420","article-title":"Observational needs of sea surface temperature","volume":"6","author":"Armstrong","year":"2019","journal-title":"Front. Mar. Sci."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1007\/s10236-015-0909-8","article-title":"Effect of model error representation in the Yellow and East China Sea modeling system based on the ensemble Kalman filter","volume":"66","author":"Kwon","year":"2016","journal-title":"Ocean Dyn."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1041","DOI":"10.2112\/SI85-209.1","article-title":"Assimilation of different SST datasets to a coastal ocean modeling system in the Yellow and East China Sea","volume":"85","author":"Kwon","year":"2018","journal-title":"J. Coast. Res."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Browne, P., Rosnay, P.D., Zuo, H., Bennett, A., and Dawson, A. (2019). Weakly coupled ocean\u2013atmosphere data assimilation in the ECMWF NWP system. Remote Sens., 11.","DOI":"10.3390\/rs11030234"},{"key":"ref_5","unstructured":"Wang, Y. (2009). Ocean\u2013atmosphere interaction and tropical climate. Tropical Meteorology, The Encyclopedia of Life Support Systems (EOLSS)."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.dsr2.2012.04.013","article-title":"Group for high resolution sea surface temperature (GHRSST) analysis fields inter-comparisons. Part 1: A GHRSST multi-product ensemble (GMPE)","volume":"77","author":"Martin","year":"2012","journal-title":"Deep Sea Res. Part II Top. Stud. Oceanogr."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.dsr2.2012.04.002","article-title":"Group for high resolution sea surface temperature (GHRSST) analysis fields inter-comparisons. Part 2: Near real time web-based Level 4 SST quality monitor (L4-SQUAM)","volume":"77","author":"Dash","year":"2012","journal-title":"Deep Sea Res. Part II Top. Stud. Oceanogr."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1286","DOI":"10.1016\/j.csr.2008.02.020","article-title":"Assessment and inter-comparison of five high-resolution sea surface temperature products in the shelf and coastal seas around China","volume":"28","author":"Xie","year":"2008","journal-title":"Cont. Shelf Res."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"458","DOI":"10.1016\/j.rse.2016.10.035","article-title":"Validation of satellite sea surface temperature analyses in the Beaufort Sea using UpTempO buoys","volume":"187","author":"Castro","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1609","DOI":"10.1175\/1520-0442(2002)015<1609:AIISAS>2.0.CO;2","article-title":"An improved in situ and satellite SST analysis for climate","volume":"15","author":"Reynolds","year":"2002","journal-title":"J. Clim."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"857","DOI":"10.1002\/joc.1168","article-title":"Impacts of in situ and additional satellite data on the accuracy of a sea-surface temperature analysis for climate","volume":"25","author":"Reynolds","year":"2005","journal-title":"Int. J. Clim."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/j.rse.2016.01.019","article-title":"The new Mediterranean optimally interpolated pathfinder AVHRR SST dataset (1982\u20132012)","volume":"176","author":"Pisano","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1007\/s00703-005-0125-z","article-title":"The East Asian summer monsoon: An overview","volume":"89","author":"Ding","year":"2005","journal-title":"Meteorol. Atmos. Phys."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"2473","DOI":"10.1175\/1520-0450(2000)039<2473:SFATKP>2.0.CO;2","article-title":"Sea fog around the Korean peninsula","volume":"39","author":"Cho","year":"2000","journal-title":"J. Appl. Meteor."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1016\/j.atmosres.2006.01.005","article-title":"Analysis and high-resolution modeling of a dense sea fog event over the Yellow Sea","volume":"81","author":"Fu","year":"2006","journal-title":"Atmos. Res."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1007\/s00376-007-0065-2","article-title":"A heavy sea fog event over the Yellow Sea in March 2005: Analysis and numerical modeling","volume":"24","author":"Gao","year":"2007","journal-title":"Adv. Atmos. Sci."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1175\/2008BAMS2577.1","article-title":"An integrated global observing system for sea surface temperature using satellites and in situ data: Research to operations","volume":"90","author":"Zhang","year":"2009","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.pocean.2013.10.005","article-title":"Variations of heat transport in the northwestern Pacific marginal seas inferred from high-resolution reanalysis","volume":"121","author":"Seo","year":"2014","journal-title":"Prog. Oceanogr."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1007\/s12601-015-0003-7","article-title":"Evaluation of a regional ocean reanalysis system for the east Asian marginal seas based on the ensemble Kalman filter","volume":"50","author":"Seo","year":"2015","journal-title":"Ocean Sci. J."},{"key":"ref_20","first-page":"328","article-title":"Validation and inter-comparison of multi-satellite merged sea surface temperature products in the South China Sea and its adjacent waters","volume":"19","author":"Hu","year":"2015","journal-title":"J. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1007\/s12601-010-0014-3","article-title":"Satellite-derived SST validation based on in-situ data during summer in the East China Sea and western North Pacific","volume":"45","author":"Kim","year":"2010","journal-title":"Ocean Sci. J."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"2505","DOI":"10.1029\/1999GL900547","article-title":"Implications of the oceanic thermal skin temperature deviation at high wind speeds","volume":"26","author":"Donlon","year":"1999","journal-title":"Geophys. Res. Lett."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1175\/1520-0442(2002)015<0353:TIVOSS>2.0.CO;2","article-title":"Toward improved validation of satellite sea surface skin temperature measurements for climate research","volume":"15","author":"Donlon","year":"2002","journal-title":"J. Clim."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/S0273-1177(01)00337-4","article-title":"Interpretation of satellite-derived sea surface temperatures","volume":"28","author":"Barton","year":"2001","journal-title":"Adv. Space Res."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1171","DOI":"10.1029\/1999GL011133","article-title":"Direct observations of skin-depth SST variability","volume":"27","author":"Murray","year":"2000","journal-title":"Geophys. Res. Lett."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1007\/s12601-015-0009-1","article-title":"Long-term Comparison of satellite and in-situ sea surface temperatures around the Korean Peninsula","volume":"50","author":"Kwak","year":"2015","journal-title":"Ocean Sci. J."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"5473","DOI":"10.1175\/2007JCLI1824.1","article-title":"Daily high-resolution blended analyses for sea surface temperature","volume":"23","author":"Reynolds","year":"2007","journal-title":"J. Clim."},{"key":"ref_28","first-page":"1","article-title":"Global daily sea surface temperature analysis using data from satellite microwave radiometer, satellite infrared radiometer and in-situ observations","volume":"73","author":"Kurihara","year":"2006","journal-title":"Weath. Bull."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1016\/j.rse.2010.10.017","article-title":"The operational sea surface temperature and sea ice analysis (OSTIA) system","volume":"116","author":"Donlon","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_30","unstructured":"Gentemann, C.L., Wentz, F.J., and DeMaria, M. (2006, January 23\u201328). Near real time global optimum interpolated microwave SSTs: Applications to hurricane intensity forecasting. Proceedings of the 27th Conference on Hurricanes and Tropical Meteorology, Monterey, CA, USA."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Barale, V., Gower, J.F.R., and Alberotanza, L. (2010). Passive Microwave Remote Sensing of the Ocean: An Overview. Oceanography from Space, Springer.","DOI":"10.1007\/978-90-481-8681-5"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Efron, B., and Tibshirani, R.J. (1993). An Introduction to the Bootstrap. Monographs on Statistics and Applied Probability, Chapman & Hall\/CRC.","DOI":"10.1007\/978-1-4899-4541-9"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1002\/qj.49711749704","article-title":"The Meteorological Office analysis correction data assimilation scheme","volume":"117","author":"Lorenc","year":"1991","journal-title":"Quart. J. R. Meteor. Soc."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"981","DOI":"10.1002\/qj.74","article-title":"Data assimilation in the FOAM operational short-range ocean forecasting system: A description of the scheme and its impact","volume":"133","author":"Martin","year":"2007","journal-title":"Quart. J. R. Meteor. Soc."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0924-7963(00)00005-1","article-title":"Assessment of the FOAM global data assimilation system for real-time operational ocean forecasting","volume":"25","author":"Bell","year":"2000","journal-title":"J. Mar. Syst."},{"key":"ref_36","unstructured":"Dahlin, H., Flemming, N.C., Nittis, K., and Petersson, S.E. (2003). The forecasting ocean assimilation model (FOAM) system. Building the European Capacity in Operational Oceanography, Elsevier."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Chassignet, E.P., and Verron, J. (2006). The Forecasting Ocean Assimilation Model (Foam) System. Ocean Weather Forecasting, Springer.","DOI":"10.1007\/1-4020-4028-8"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"D14102","DOI":"10.1029\/2008JD011477","article-title":"Ocean tidal cooling effect on summer sea fog over the Okhotsk Sea","volume":"114","author":"Tokinaga","year":"2009","journal-title":"J. Geophys. Res."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1186","DOI":"10.1175\/2009MWR3100.1","article-title":"A coupled model study on the formation and dissipation of sea fogs","volume":"138","author":"Heo","year":"2010","journal-title":"Mon. Weather Rev."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"6758","DOI":"10.1175\/2009JCLI2806.1","article-title":"Seasonal variations of Yellow Sea fog: Observations and mechanisms","volume":"22","author":"Zhang","year":"2009","journal-title":"J. Clim."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"9179","DOI":"10.1029\/1999JC000065","article-title":"Overview of the NOAA\/NASA advanced very high resolution radiometer Pathfinder algorithm for sea surface temperature and associated matchup database","volume":"106","author":"Kilpatrick","year":"2001","journal-title":"J. Geophys. Res."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/5\/759\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T09:01:57Z","timestamp":1760173317000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/5\/759"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,2,26]]},"references-count":41,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2020,3]]}},"alternative-id":["rs12050759"],"URL":"https:\/\/doi.org\/10.3390\/rs12050759","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2020,2,26]]}}}