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	<journal>
		<journal_title>The Cryosphere Discussions</journal_title>
		<journal_url>www.the-cryosphere-discuss.net</journal_url>
		<issn>1994-0432</issn>
		<eissn>1994-0440</eissn>
		<volume_number>5</volume_number>
		<issue_number>5</issue_number>
		<publication_year>2011</publication_year>
	</journal>
	<doi>10.5194/tcd-5-2991-2011</doi>
	<article_url>http://www.the-cryosphere-discuss.net/5/2991/2011/</article_url>
	<abstract_html>http://www.the-cryosphere-discuss.net/5/2991/2011/tcd-5-2991-2011.html</abstract_html>
	<fulltext_pdf>http://www.the-cryosphere-discuss.net/5/2991/2011/tcd-5-2991-2011.pdf</fulltext_pdf>
	<start_page>2991</start_page>
	<end_page>3024</end_page>
	<publication_date>2011-10-27</publication_date>
	<article_title content_type="html">Melt ponds on Arctic sea ice determined from MODIS satellite data using an artificial neural network</article_title>
	<authors>
		<author numeration="1" affiliations="1,2">
			<name>A. Rösel</name>
			<email>anja.roesel@zmaw.de</email>
		</author>
		<author numeration="2" affiliations="1">
			<name>L. Kaleschke</name>
		</author>
		<author numeration="3" affiliations="3">
			<name>G. Birnbaum</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Institute of Oceanography, University of Hamburg, Bundesstr. 53, 20146 Hamburg, Germany</affiliation>
		<affiliation numeration="2" content_type="html">Max Planck Institute for Comparative and International Private Law, Mittelweg 187, 20148 Hamburg, Germany</affiliation>
		<affiliation numeration="3" content_type="html">Alfred Wegener Institute for Polar and Marine Research, Am Handelshafen 12, 27570 Bremerhaven, Germany</affiliation>
	</affiliations>
	<abstract content_type="html">Melt ponds on sea ice strongly reduce the surface albedo and
      accelerate the decay of Arctic sea ice.  Due to different spectral
      properties of snow, ice, and water, the fractional coverage of these
      distinct surface types can be derived from multispectral sensors like
      MODIS using a spectral unmixing algorithm.  The unmixing was
      implemented using a multilayer perceptron (MLP) to reduce
      computational costs.
&lt;br&gt;&lt;br&gt;
      Arctic-wide melt pond fractions and sea ice concentrations are derived
      from the level 3 MODIS surface reflectance product. The validation of
      the MODIS melt pond data set was conducted with aerial photos from the
      MELTEX campaign 2008 in the Beaufort Sea, data sets from the National
      Snow and Ice Data Center (NSIDC) for 2000 and 2001 from four sites
      spread over the entire Arctic, and with ship observations from the
      trans-Arctic HOTRAX cruise in 2005. The root-mean-square errors (RMSE)
      range from 3.8 % for the comparison with HOTRAX data, over 10.7 %
      for the comparison with NSIDC data, to 10.3 % and 11.4 % for the
      comparison with MELTEX data, with correlations coefficients ranging
      from &lt;i&gt;R&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt; = 0.28 to &lt;i&gt;R&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt; = 0.45.  The mean annual cycle of the melt
      pond fraction for the entire Arctic shows a strong increase in June,
      reaching a maximum of 15 % by the end of June.  The zonal mean of
      melt pond fractions indicates a dependence of the temporal development
      of melt ponds from the geographical latitude, and has its maximum in
      mid-July in latitudes between 80&amp;deg; and 88&amp;deg; N.

&lt;br&gt;&lt;br&gt;
      Furthermore, the MODIS results are used to estimate the influence of
      melt ponds on retrievals of sea ice concentrations from passive
      microwave data. Results from a case study comparing sea ice
      concentrations from ASI-, NASA Team 2-, and Bootstrap-algorithms with
      MODIS sea ice concentrations indicate an underestimation of around
      40 % for sea ice concentrations retrieved with microwave algorithms.</abstract>
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