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Seawater Debye model function at L-band and its impact on salinity retrieval from Aquarius satellite data / Yiwen Zhou in IEEE Transactions on geoscience and remote sensing, vol 59 n° 10 (October 2021)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 59 n° 10 (October 2021) . - pp 8103 - 8116 Titre : Seawater Debye model function at L-band and its impact on salinity retrieval from Aquarius satellite data Type de document : Article/Communication Auteurs : Yiwen Zhou, Auteur ; Roger H. Lang, Auteur ; Emmanuel P. Dinnat, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 8103 - 8116 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] bande L [Termes IGN] constante diélectrique [Termes IGN] eau de mer [Termes IGN] image SAC-D-Aquarius [Termes IGN] salinité [Termes IGN] température de surface de la mer Résumé : (auteur) A model function of seawater, which specifies the dielectric constant of seawater as a function of salinity, temperature, and frequency, is important for the retrieval of sea surface salinity using satellite data. In 2017, a model function has been developed based on measurement data at 1.4134 GHz using a third-order polynomial expression in salinity ( S ) and temperature ( T ). Although the model showed improvements in salinity retrieval, it had an inconsistent behavior between partitioned salinities. To improve the stability of the model, new dielectric measurements of seawater have been made recently over a broad range of salinities and temperatures to expand the data set used for developing the model function. The structure of the model function has been changed from a polynomial expansion in S and T to a physics-based model consisting of a Debye molecular resonance term plus a conductivity term. Each unknown parameter is expressed in S and T based on the expanded measurement data set. Physical arguments have been used to limit the number of unknown coefficients in these expressions to improve the stability of the model function. The new model function has been employed in the retrieval algorithm of the Aquarius satellite mission to obtain a global salinity map. The retrieved salinity using a different model function is compared with in situ data collected by Argo floats to evaluate the impact and the performance of model functions. The results indicate that the new model function has significant improvements in salinity retrieval compared with other existing models. Numéro de notice : A2021-767 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2020.3045771 Date de publication en ligne : 14/01/2021 En ligne : https://doi.org/10.1109/TGRS.2020.3045771 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98606 [article]

Sea surface salinity remote sensing / Emmanuel P. Dinnat (2019)  

Public Titre : Sea surface salinity remote sensing Type de document : Monographie Auteurs : Emmanuel P. Dinnat, Éditeur scientifique ; Xiaobin Yin, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2019 Importance : 296 p. Format : 17 x 23 cm ISBN/ISSN/EAN : 978-3-03921-077-0 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Arctique, océan [Termes IGN] Atlantique (océan) [Termes IGN] bande L [Termes IGN] fusion de données [Termes IGN] HYbrid Coordinate Ocean Model [Termes IGN] image SAC-D-Aquarius [Termes IGN] image SMOS [Termes IGN] Indien (océan) [Termes IGN] Méditerranée, mer [Termes IGN] Mexique (golfe du) [Termes IGN] modèle de transfert radiatif [Termes IGN] océanographie [Termes IGN] Pacifique (océan) [Termes IGN] salinité [Termes IGN] Soil Moisture Active Passive [Termes IGN] surface de la mer Résumé : (éditeur) This Special Issue gathers papers reporting research on various aspects of remote sensing of Sea Surface Salinity (SSS) and the use of satellite SSS in oceanography. It includes contributions presenting improvements in empirical or theoretical radiative transfer models; mitigation techniques of external interference such as RFI and land contamination; comparisons and validation of remote sensing products with in situ observations; retrieval techniques for improved coastal SSS monitoring, high latitude SSS and the assessment of ocean interactions with the cryosphere; and data fusion techniques combining SSS with sea surface temperature (SST). New instrument technology for the future of SSS remote sensing is also presented. Note de contenu : 1- Status of Aquarius and salinity continuity 2- The salinity retrieval algorithms for the NASA Aquarius Version 5 and SMAP version3 releases 3- Assessment of Aquarius Sea surface salinity 4- Improving SMOS sea surface salinity in the Western Mediterranean Sea through multivariateand multifractal analysis 5- Seven Years of SMOS sea surface salinity at high latitudes: Variability in Arctic and Sub-Arctic region 6- Inter comparison of in-situ and remote sensing salinity products in the Gulf of Mexico, a river-influenced system 7- Remote sensing of sea surface salinity: Comparison of satellite and in situ observations and impact of retrieval parameters 8- An observational perspective of sea surface salinity in the Southwestern Indian Ocean and its role in the South Asia summer monsoon 9- The potential and challenges of using soil moisture active passive (SMAP) sea surface salinity to monitor Arctic Ocean freshwater changes 10- Assessing coastal SMAP surface salinity accuracy and its application to monitoring Gulf of Maine circulation dynamics 11- SMAP and CalCOFI observe freshening during the 2014–2016 Northeast Pacific warm anomaly 12- Seasonal variability of retroflection structures and transports in the Atlantic Ocean as Inferred from satellite-derived salinity maps 13- Comparison of the retrieval of sea surface salinity using different instrument configurations of MICAP 14- End-to-End simulation of WCOM IMI sea surface salinity retrieval Numéro de notice : 17663 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.3390/books978-3-03921-077-0 En ligne : https://doi.org/10.3390/books978-3-03921-077-0 Format de la ressource électronique : url Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97393