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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-3-259-2007</article-id>
<title-group>
<article-title>Improved near real time surface wind resolution over the Mediterranean Sea</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bentamy</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>Ayina</surname>
<given-names>H.-L.</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>Queffeulou</surname>
<given-names>P.</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>Croize-Fillon</surname>
<given-names>D.</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>Kerbaol</surname>
<given-names>V.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Institut Fran&amp;#x00E7;ais pour la Rechercher et l&apos;exploitation de la MER (IFREMER), DOPS, BP 70, 20280 Plouzané, France</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>BOOST Technologies, 115 rue Claude Chappe, 29280 Plouzané, France</addr-line>
</aff>
<pub-date pub-type="epub">
<day>24</day>
<month>05</month>
<year>2007</year>
</pub-date>
<volume>3</volume>
<issue>2</issue>
<fpage>259</fpage>
<lpage>271</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2007 A. Bentamy et al.</copyright-statement>
<copyright-year>2007</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Generic License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by-nc-sa/2.5/">https://creativecommons.org/licenses/by-nc-sa/2.5/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://os.copernicus.org/articles/3/259/2007/os-3-259-2007.html">This article is available from https://os.copernicus.org/articles/3/259/2007/os-3-259-2007.html</self-uri>
<self-uri xlink:href="https://os.copernicus.org/articles/3/259/2007/os-3-259-2007.pdf">The full text article is available as a PDF file from https://os.copernicus.org/articles/3/259/2007/os-3-259-2007.pdf</self-uri>
<abstract>
<p>Several scientific programs, including the Mediterranean Forecasting System Toward
Environmental Predictions (MFSTEP project), request high space and time resolutions of
surface wind speed and direction. The purpose of this paper is to focus on surface wind
improvements over the global Mediterranean Sea, based on the blending near real time
remotely sensed wind observations and ECMWF wind analysis. Ocean surface wind
observations are retrieved from QuikSCAT scatterometer and from SSM/I radiometers
available at near real time at Météo-France. Using synchronous satellite data, the number of
remotely sensed data available for each analysis epoch (00:00 h; 06:00 h; 12:00 h; 18:00 h) is
not uniformly distributed as a function of space and time. On average two satellite wind
observations are available for each analysis time period. The analysis is performed by
optimum interpolation (OI) based on the kriging approach. The needed covariance matrixes
are estimated from the satellite wind speed, zonal and meridional component observations.
The quality of the 6-hourly resulting blended wind fields on 0.25&amp;deg; grid are investigated trough
comparisons with the remotely sensed observations as well as with moored buoy wind
averaged wind estimates. The blended wind data and remotely wind observations, occurring
within 3 h and 0.25&amp;deg; from the analysis estimates, compare well over the global basin as
well as over the sub-basins. The correlation coefficients exceed 0.95 while the rms difference
values are less than 0.30 m/s. Using measurements from moored buoys, the high-resolution
wind fields are found to have similar accuracy as satellite wind retrievals. Blended wind
estimates exhibit better comparisons with buoy moored in open sea than near shore.</p>
</abstract>
<counts><page-count count="13"/></counts>
</article-meta>
</front>
<body/>
<back>
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</article>