{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T18:25:49Z","timestamp":1772130349365,"version":"3.50.1"},"reference-count":55,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2016,11,21]],"date-time":"2016-11-21T00:00:00Z","timestamp":1479686400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004020","name":"Japan Aerospace Exploration Agency","doi-asserted-by":"publisher","award":["JX-PSPC-434772"],"award-info":[{"award-number":["JX-PSPC-434772"]}],"id":[{"id":"10.13039\/501100004020","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This paper describes a global, daily sea surface temperature (SST) analysis based on satellite microwave and infrared measurements. The SST analysis includes a diurnal correction method to estimate foundation SST (SST free from diurnal variability) using satellite sea surface wind and solar radiation data, frequency splitting to reproduce intra-seasonal variability and a quality control procedure repeated twice to avoid operation errors. An optimal interpolation method designed for foundation SST is applied to blend the microwave and infrared satellite measurements. Although in situ SST measurements are not used for bias correction adjustments in the analysis, the output product, with a spatial grid size of 0.1\u00b0, has an accuracy of 0.48      \u2218    C and 0.46      \u2218    C compared to the in situ foundation SST measurements derived by drifting buoys and Argo floats, respectively. The same quality against the two types of in situ foundation SST (drifters and Argo) suggests that the two definitions of foundation SST proposed by past studies can provide same-quality information about the sea surface state underlying the diurnal thermocline.<\/jats:p>","DOI":"10.3390\/rs8110962","type":"journal-article","created":{"date-parts":[[2016,11,21]],"date-time":"2016-11-21T11:16:05Z","timestamp":1479726965000},"page":"962","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Global Daily High-Resolution Satellite-Based Foundation Sea Surface Temperature Dataset: Development and Validation against Two Definitions of Foundation SST"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8352-5878","authenticated-orcid":false,"given":"Kohtaro","family":"Hosoda","sequence":"first","affiliation":[{"name":"Center for Atmospheric and Oceanic Studies, Graduate School of Science, Tohoku University, Aramaki-aza-Aoba 6-3, Aoba, Sendai 980-8576, Japan"}]},{"given":"Futoki","family":"Sakaida","sequence":"additional","affiliation":[{"name":"Center for Atmospheric and Oceanic Studies, Graduate School of Science, Tohoku University, Aramaki-aza-Aoba 6-3, Aoba, Sendai 980-8576, Japan"}]}],"member":"1968","published-online":{"date-parts":[[2016,11,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.fishres.2011.08.017","article-title":"Relationship between albacore (Thunnus alalunga) fishing grounds in the Indian Ocean and the thermal environment revealed by cloud-free microwave sea surface temperature","volume":"113","author":"Lan","year":"2012","journal-title":"Fish. 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