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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">SOM</journal-id><journal-title-group><journal-title>Satellite Oceanography and Meteorology</journal-title></journal-title-group><issn>2424-8959</issn><eissn>2424-9505</eissn><publisher><publisher-name>WHIOCE PUBLISHING PTE. LTD.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18063/SOM.2017.01.004</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group></article-categories><title>Sea surface salinity observed from the HY-2A satellite</title><url>https://artdesignp.com/journal/SOM/2/1/10.18063/SOM.2017.01.004</url><author>SongQingtao,WangZhaohui</author><pub-date pub-type="publication-year"><year>2017</year></pub-date><volume>2</volume><issue>1</issue><history><date date-type="pub"><published-time>2017-02-11</published-time></date></history><abstract>Motivated by the shortcomings of radio frequency interferences (RFI) associated with the spaceborne L-band radiometers near the Northwest Pacific and previous study near the Amazon plume, this study presents a sea surface salinity (SSS) retrieval algorithm from the microwave radiometer onboard the HY-2A satellite. The SSS signal is improved by differentiating the reflectance between the C and X band. A reflectance calibration method is proposed by using a combination of radiative transfer model (RTM) and the Klein-Swift emissivity model. Evaluations of the retrieved SSS from the HY-2A satellite indicate that the root mean square error (RMSE) is about 0.35 psu on 0. 5 degree grid spacing and monthly time scale which is comparable to the accuracy of SMOS and Aquarius-SAC/D satellites.</abstract><keywords>Sea surface salinity, microwave radiometer, HY-2A satellite, SMOS, Aquarius, emissivity model</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>1. Huang X, Zhu J, Lin et al. (2014). Preliminary Assessment of Sea Surface Wind Speed Production of HY-2 Scanning Microwave Radiometer. Acta Oceanologica Sinica, 33(1): 114&amp;ndash;119. http://dx.doi.org/10.1007/s13131-014-0403-z.2. Klein L and Swift C T. (1977). An improved model for the dielectric constant of sea water at microwave frequencies. Antennas and Propagation, IEEE Transactions on, 25(1): 104&amp;ndash;111. http://dx.doi.org/10.1109/TAP.1977.1141539.3. Lagerloef G, Colomb F R, Vine D L et al. (2008). The Aquarius/Sac-D Mission: Designed to Meet the Salinity Remote-Sensing Challenge. Oceanography, 21(1): 68&amp;ndash;81. http://dx.doi.org/10.1109/TAP.1977.1141539.4. Reul N, Tenerelli J, Boutin J et al. (2012). Overview of the First SMOS Sea Surface Salinity Products. Part I: Quality Assessment for the Second Half of 2010. IEEE Transactions on Geoscience and Remote Sensing, 50(5): 1636&amp;ndash;1647. http://dx.doi.org/10.1109/TGRS.2012.2188408.5. Reul N, Saux-Picart S, Chapron B et al. (2009), Demonstration of ocean surface salinity microwave measurements from space using AMSR-E data over the Amazon plume. Geophysical Research Letters, 36(13): 88&amp;ndash;97 http://dx.doi.org/10.1029/2009GL038860.6. Stogryn A. (1971). Equations for Calculating the Dielectric Constant of Saline Water (Correspondence). IEEE Transactions on Microwave Theory &amp;amp; Techniques, 19(8): 733&amp;ndash;736. http://dx.doi.org/10.1109/TMTT.1971.1127617.7. Weyl P K (1964). On the Change in Electrical Conductance of Seawater with Temperature. Limnology &amp;amp; Oceanography, 9(1): 75&amp;ndash;78. http://dx.doi.org/10.4319/lo.1964.9.1.0075.8. Yin X B, Boutin J, Dinnat E et al. (2016). Roughness and foam signature on S MOS-MIRAS brightness temperatures: a semi-theoretical approach. Remote Sensing of Environment, 180: 221&amp;ndash;233. http://dx.doi.org/10.1016/j.rse.2016.02.005.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
