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dc.contributor.authorHoareau, Ninaes_ES
dc.contributor.authorTuriel, Antonioes_ES
dc.contributor.authorPortabella, Marcoses_ES
dc.contributor.authorBallabrera-Poy, Joaquimes_ES
dc.contributor.authorVogelzang, J.es_ES
dc.date.accessioned2018-07-05T12:14:57Z-
dc.date.available2018-07-05T12:14:57Z-
dc.date.issued2018-05-
dc.identifier.citationIEEE Transactions on Geoscience and Remote Sensing 99: 1-12 (2018)es_ES
dc.identifier.issn0196-8904-
dc.identifier.urihttp://hdl.handle.net/10261/167403-
dc.description12 pageses_ES
dc.description.abstractThe Soil Moisture and Ocean Salinity (SMOS) and Aquarius satellite missions have produced the first sea-surface salinity (SSS) maps from space. The quality of the retrieved SSS must be assessed, in terms of its validation against sparse ground truth, but also in terms of its ability to detect and characterize geophysical processes, such as mesoscale features. Such characterization is sometimes elusive due to the presence of noise and processing artifacts that continue to affect state-of-the-art remote sensing SSS maps. A new method, based on singularity analysis, is proposed to contribute to the assessment of the geophysical characteristics of such maps. Singularity analysis can be used to directly assess the spatial consistency of the SSS fields and to improve the estimation of the wavenumber spectra slope through a new method, the singularity power spectra (SPS). To demonstrate the SPS performance and utility, we applied SPS to different gridded SSS maps, such as SMOS and Aquarius high-level products, the output of a numerical simulation, in situ reanalysis, and climatology, as well as to other sea-surface temperature products for reference. The singularity analysis and SPS methods reveal that both the SMOS level 4 and the Aquarius combined active passive products are both able to describe the geometry of the existing geophysical structures and provide consistent spectral slopes. This paper demonstrates that beyond the remaining sources of uncertainty in remote sensing SSS products, valuable dynamical information on the ocean state can be extracted from these SSS productses_ES
dc.description.sponsorshipThis study was funded by the Spanish R+D Plan under project Promises (ESP2015-67549-C3-2) and previous grants-
dc.language.isoenges_ES
dc.publisherInstitute of Electrical and Electronics Engineerses_ES
dc.relationMINECO/ICTI2013-2016/ESP2015-67549-C3-2-
dc.rightsopenAccesses_ES
dc.titleSingularity Power Spectra: A Method to Assess Geophysical Consistency of Gridded Products : Application to Sea-Surface Salinity Remote Sensing Mapses_ES
dc.typeartículoes_ES
dc.identifier.doi10.1109/TGRS.2018.2819240-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttps://dx.doi.org/10.1109/TGRS.2018.2819240es_ES
dc.contributor.funderMinisterio de Economía, Industria y Competitividad (España)-
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
dc.identifier.funderhttp://dx.doi.org/10.13039/501100010198es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100010198es_ES
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