{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T01:04:32Z","timestamp":1768525472244,"version":"3.49.0"},"reference-count":43,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2018,2,17]],"date-time":"2018-02-17T00:00:00Z","timestamp":1518825600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The ever increasing geophysical data streams pouring from earth observation satellite missions and numerical simulations along with the development of dedicated big data infrastructure advocate for truly exploiting the potential of these datasets, through novel data-driven strategies, to deliver enhanced satellite-derived gapfilled geophysical products from partial satellite observations. We here demonstrate the relevance of the analog data assimilation (AnDA) for an application to the reconstruction of cloud-free level-4 gridded Sea Surface Temperature (SST). We propose novel AnDA models which exploit auxiliary variables such as sea surface currents and significantly reduce the computational complexity of AnDA. Numerical experiments benchmark the proposed models with respect to state-of-the-art interpolation techniques such as optimal interpolation and EOF-based schemes. We report relative improvement up to 40%\/50% in terms of RMSE and also show a good parallelization performance, which supports the feasibility of an upscaling on a global scale.<\/jats:p>","DOI":"10.3390\/rs10020310","type":"journal-article","created":{"date-parts":[[2018,2,20]],"date-time":"2018-02-20T03:54:22Z","timestamp":1519098862000},"page":"310","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Spatio-Temporal Interpolation of Cloudy SST Fields Using Conditional Analog Data Assimilation"],"prefix":"10.3390","volume":"10","author":[{"given":"Ronan","family":"Fablet","sequence":"first","affiliation":[{"name":"IMT Atlantique, Lab-STICC, UBL, Brest 29238, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Phi","family":"Huynh Viet","sequence":"additional","affiliation":[{"name":"IMT Atlantique, Lab-STICC, UBL, Brest 29238, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0226-9057","authenticated-orcid":false,"given":"Redouane","family":"Lguensat","sequence":"additional","affiliation":[{"name":"IMT Atlantique, Lab-STICC, UBL, Brest 29238, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pierre-Henri","family":"Horrein","sequence":"additional","affiliation":[{"name":"IMT Atlantique, Lab-STICC, UBL, Brest 29238, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bertrand","family":"Chapron","sequence":"additional","affiliation":[{"name":"Ifremer, LOPS, Brest 29200, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,2,17]]},"reference":[{"key":"ref_1","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. 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