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<article language="en">
	<journal>
		<journal_title>The Cryosphere</journal_title>
		<journal_url>www.the-cryosphere.net</journal_url>
		<issn>1994-0416</issn>
		<eissn>1994-0424</eissn>
		<volume_number>3</volume_number>
		<issue_number>1</issue_number>
		<publication_year>2009</publication_year>
	</journal>
	<doi>10.5194/tc-3-113-2009</doi>
	<article_url>http://www.the-cryosphere.net/3/113/2009/</article_url>
	<abstract_html>http://www.the-cryosphere.net/3/113/2009/tc-3-113-2009.html</abstract_html>
	<fulltext_pdf>http://www.the-cryosphere.net/3/113/2009/tc-3-113-2009.pdf</fulltext_pdf>
	<start_page>113</start_page>
	<end_page>123</end_page>
	<publication_date>2009-05-04</publication_date>
	<article_title content_type="html">A new 1 km digital elevation model of Antarctica derived from combined radar and laser data – Part 2: Validation and error estimates</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>J. A. Griggs</name>
			<email>j.griggs@bristol.ac.uk</email>
		</author>
		<author numeration="2" affiliations="1">
			<name>J. L. Bamber</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Bristol Glaciology Centre, School of Geographical Sciences, University of Bristol, Bristol, UK</affiliation>
	</affiliations>
	<abstract content_type="html">We have developed a new digital elevation model (DEM) of Antarctica from a
combination of satellite radar and laser altimeter data. Here, we assess the
accuracy of the DEM by comparison with airborne altimeter data from four
campaigns covering a wide range of surface slopes and ice sheet regions.
Root mean squared (RMS) differences varied from 4.75 m, when compared to a
densely gridded airborne dataset over the Siple Coast region of West
Antarctica to 33.78 m when compared to a more limited dataset over the
Antarctic Peninsula where surface slopes are high and the across track
spacing of the satellite data is relatively large. The airborne data sets
were employed to produce an error map for the DEM by developing a multiple
linear regression model based on the variables known to influence errors in
the DEM. Errors were found to correlate highly with surface slope, roughness
and density of satellite data points. Errors ranged from typically ~1 m
over the ice shelves to between about 2 and 6 m for the majority of the
grounded ice sheet. In the steeply sloping margins, along the Peninsula and
mountain ranges the estimated error is several tens of metres. Less than 2%
of the area covered by the satellite data had an estimated random error
greater than 20 m.</abstract>
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</article>

