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<front>
<journal-meta>
<journal-id journal-id-type="publisher">OS</journal-id>
<journal-title-group>
<journal-title>Ocean Science</journal-title>
<abbrev-journal-title abbrev-type="publisher">OS</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Ocean Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1812-0792</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/os-9-121-2013</article-id>
<title-group>
<article-title>X-band COSMO-SkyMed wind field retrieval, with application to coastal circulation modeling</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Montuori</surname>
<given-names>A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>de Ruggiero</surname>
<given-names>P.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Migliaccio</surname>
<given-names>M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Pierini</surname>
<given-names>S.</given-names>
<ext-link>https://orcid.org/0000-0002-8831-0999</ext-link>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Spezie</surname>
<given-names>G.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Dipartimento per le Tecnologie, Università di Napoli Parthenope, Naples, Italy</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Dipartimento di Scienze per l&apos;Ambiente, Università di Napoli Parthenope, Naples, Italy</addr-line>
</aff>
<pub-date pub-type="epub">
<day>14</day>
<month>02</month>
<year>2013</year>
</pub-date>
<volume>9</volume>
<issue>1</issue>
<fpage>121</fpage>
<lpage>132</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2013 A. Montuori et al.</copyright-statement>
<copyright-year>2013</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://os.copernicus.org/articles/9/121/2013/os-9-121-2013.html">This article is available from https://os.copernicus.org/articles/9/121/2013/os-9-121-2013.html</self-uri>
<self-uri xlink:href="https://os.copernicus.org/articles/9/121/2013/os-9-121-2013.pdf">The full text article is available as a PDF file from https://os.copernicus.org/articles/9/121/2013/os-9-121-2013.pdf</self-uri>
<abstract>
<p>In this paper, X-band COSMO-SkyMed&lt;sup&gt;©&lt;/sup&gt; synthetic aperture radar
(SAR) wind field retrieval is investigated, and the obtained data are used to force
a coastal ocean circulation model. The SAR data set consists of 60
X-band Level 1B Multi-Look Ground Detected ScanSAR Huge Region
COSMO-SkyMed&lt;sup&gt;©&lt;/sup&gt; SAR data, gathered in the southern
Tyrrhenian Sea during the summer and winter seasons of 2010. The SAR-based
wind vector field estimation is accomplished by resolving both the SAR-based
wind speed and wind direction retrieval problems independently. The sea
surface wind speed is retrieved by means of a SAR wind speed algorithm based
on the azimuth cut-off procedure, while the sea surface wind direction is
provided by means of a SAR wind direction algorithm based on the discrete
wavelet transform multi-resolution analysis. The obtained wind fields are
compared with ground truth data provided by both ASCAT scatterometer and
ECMWF model wind fields. SAR-derived wind vector fields and ECMWF model wind
data are used to construct a blended wind product regularly sampled in both
space and time, which is then used to force a coastal circulation model of a
southern Tyrrhenian coastal area to simulate wind-driven circulation
processes. The modeling results show that X-band
COSMO-SkyMed&lt;sup&gt;©&lt;/sup&gt; SAR data can be valuable in
providing effective wind fields for coastal circulation modeling.</p>
</abstract>
<counts><page-count count="12"/></counts>
</article-meta>
</front>
<body/>
<back>
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