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dc.contributor.authorGupta, Mukesh-
dc.contributor.authorGabarró, Carolina-
dc.contributor.authorTuriel, Antonio-
dc.contributor.authorPortabella, Marcos-
dc.contributor.authorMartínez, Justino-
dc.date.accessioned2019-06-25T08:04:12Z-
dc.date.available2019-06-25T08:04:12Z-
dc.date.issued2019-06-
dc.identifierdoi: 10.1017/jog.2019.26-
dc.identifierissn: 0022-1430-
dc.identifiere-issn: 1727-5652-
dc.identifier.citationJournal of Glaciology 65(251): 481-493 (2019)-
dc.identifier.urihttp://hdl.handle.net/10261/184770-
dc.description13 pages, 11 figures, 4 tables-
dc.description.abstractArctic sea ice is going through a dramatic change in its extent and volume at an unprecedented rate. Sea-ice thickness (SIT) is a controlling geophysical variable that needs to be understood with greater accuracy. For the first time, a SIT-retrieval method that exclusively uses only airborne SIT data for training the empirical algorithm to retrieve SIT from Soil Moisture Ocean Salinity (SMOS) brightness temperature (TB) at different polarization is presented. A large amount of airborne SIT data has been used from various field campaigns in the Arctic conducted by different countries during 2011–15. The algorithm attempts to circumvent the issue related to discrimination between TB signatures of thin SIT versus low sea-ice concentration. The computed SIT has a rms error of 0.10 m, which seems reasonably good (as compared to the existing algorithms) for analysis at the used 25 km grid. This new SIT retrieval product is designed for direct operational application in ice prediction/climate models-
dc.description.sponsorshipThis work was supported in part by the Ministry of Economy and Competitiveness, Spain and in part by FEDER EU throughthe National R+D Plans PROMISES Project under Grant ESP2015-67549-C3-2-R and L-Band Project under Grant ESP2017-89463-C3-1-R-
dc.publisherInternational Glaciological Society-
dc.relationMINECO/ICTI2013-2106/67549-C3-2-R-
dc.relationMICIU/ICTI2017-2020/ESP2017-89463-C3-1-R-
dc.relation.isversionofPublisher's version-
dc.rightsopenAccess-
dc.subjectRemote sensing-
dc.subjectSea ice-
dc.subjectLaser altimetry-
dc.subjectElectromagnetic induction-
dc.subjectIce thickness measurements-
dc.titleOn the retrieval of sea-ice thickness using SMOS polarization differences-
dc.typeartículo-
dc.relation.publisherversionhttps://doi.org/10.1017/jog.2019.26-
dc.date.updated2019-06-25T08:04:12Z-
dc.description.versionPeer Reviewed-
dc.language.rfc3066eng-
dc.rights.licensehttps://creativecommons.org/licenses/by-sa/4.0/-
dc.contributor.funderMinisterio de Economía y Competitividad (España)-
dc.contributor.funderEuropean Commission-
dc.relation.csic-
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003329es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000780es_ES
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