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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="3.0" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="publisher">TC</journal-id>
<journal-title-group>
<journal-title>The Cryosphere</journal-title>
<abbrev-journal-title abbrev-type="publisher">TC</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">The Cryosphere</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1994-0424</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/tc-9-1551-2015</article-id>
<title-group>
<article-title>Melt pond fraction and spectral sea ice albedo retrieval from MERIS data – Part 1: Validation against in situ, aerial, and ship cruise data</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Istomina</surname>
<given-names>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>Heygster</surname>
<given-names>G.</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>Huntemann</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>Schwarz</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>Birnbaum</surname>
<given-names>G.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Scharien</surname>
<given-names>R.</given-names>
<ext-link>https://orcid.org/0000-0002-2761-4809</ext-link>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Polashenski</surname>
<given-names>C.</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Perovich</surname>
<given-names>D.</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zege</surname>
<given-names>E.</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Malinka</surname>
<given-names>A.</given-names>
<ext-link>https://orcid.org/0000-0002-0651-5115</ext-link>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Prikhach</surname>
<given-names>A.</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Katsev</surname>
<given-names>I.</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Institute of Environmental Physics, University of Bremen, Bremen, Germany</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Department of Environmental Meteorology, University of Trier, Trier, Germany</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>Department of Geography, University of Victoria, Victoria, Canada</addr-line>
</aff>
<aff id="aff5">
<label>5</label>
<addr-line>Cold Regions Research and Engineering Laboratory, Engineer Research and Development Center, Hanover, New Hampshire, USA</addr-line>
</aff>
<aff id="aff6">
<label>6</label>
<addr-line>B. I. Stepanov Institute of Physics, National Academy of Sciences of Belarus, Minsk, Belarus</addr-line>
</aff>
<pub-date pub-type="epub">
<day>12</day>
<month>08</month>
<year>2015</year>
</pub-date>
<volume>9</volume>
<issue>4</issue>
<fpage>1551</fpage>
<lpage>1566</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2015 L. Istomina et al.</copyright-statement>
<copyright-year>2015</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://tc.copernicus.org/articles/9/1551/2015/tc-9-1551-2015.html">This article is available from https://tc.copernicus.org/articles/9/1551/2015/tc-9-1551-2015.html</self-uri>
<self-uri xlink:href="https://tc.copernicus.org/articles/9/1551/2015/tc-9-1551-2015.pdf">The full text article is available as a PDF file from https://tc.copernicus.org/articles/9/1551/2015/tc-9-1551-2015.pdf</self-uri>
<abstract>
<p>The presence of melt ponds on the Arctic sea ice strongly affects the energy
balance of the Arctic Ocean in summer. It affects albedo as well as
transmittance through the sea ice, which has consequences for the heat
balance and mass balance of sea ice. An algorithm to retrieve melt pond
fraction and sea ice albedo from Medium Resolution Imaging Spectrometer
(MERIS) data is validated against aerial, shipborne and in situ campaign
data. The results show the best correlation for landfast and multiyear ice
of high ice concentrations. For broadband albedo, &lt;i&gt;R&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt; is equal to 0.85,
with the RMS (root mean square) being equal to 0.068; for the melt pond fraction, &lt;i&gt;R&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt; is
equal to 0.36, with the RMS being equal to 0.065. The correlation for lower
ice concentrations, subpixel ice floes, blue ice and wet ice is lower due to
ice drift and challenging for the retrieval surface conditions. Combining
all aerial observations gives a mean albedo RMS of 0.089 and a mean melt
pond fraction RMS of 0.22. The in situ melt pond fraction correlation is
&lt;i&gt;R&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt; = 0.52 with an RMS = 0.14. Ship cruise data might be affected by
documentation of varying accuracy within the Antarctic Sea Ice Processes and
Climate (ASPeCt) protocol, which may contribute to the discrepancy between
the satellite value and the observed value: mean &lt;i&gt;R&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt; = 0.044, mean
RMS = 0.16. An additional dynamic spatial cloud filter for MERIS over snow
and ice has been developed to assist with the validation on swath data.</p>
</abstract>
<counts><page-count count="16"/></counts>
</article-meta>
</front>
<body/>
<back>
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