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<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-7-1707-2013</article-id>
<title-group>
<article-title>An upper-bound estimate for the accuracy of glacier volume–area scaling</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Farinotti</surname>
<given-names>D.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Huss</surname>
<given-names>M.</given-names>
<ext-link>https://orcid.org/0000-0002-2377-6923</ext-link>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>German Research Centre for Geosciences (GFZ), Telegrafenberg, 14473 Potsdam, Germany</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Laboratory of Hydraulics, Hydrology and Glaciology (VAW), ETH Zurich, 8092 Zurich, Switzerland</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Department of Geosciences, University of Fribourg, 1700 Fribourg, Switzerland</addr-line>
</aff>
<pub-date pub-type="epub">
<day>11</day>
<month>11</month>
<year>2013</year>
</pub-date>
<volume>7</volume>
<issue>6</issue>
<fpage>1707</fpage>
<lpage>1720</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2013 D. Farinotti</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://tc.copernicus.org/articles/7/1707/2013/tc-7-1707-2013.html">This article is available from https://tc.copernicus.org/articles/7/1707/2013/tc-7-1707-2013.html</self-uri>
<self-uri xlink:href="https://tc.copernicus.org/articles/7/1707/2013/tc-7-1707-2013.pdf">The full text article is available as a PDF file from https://tc.copernicus.org/articles/7/1707/2013/tc-7-1707-2013.pdf</self-uri>
<abstract>
<p>Volume–area scaling is the most popular method for estimating the ice
 volume of large glacier samples. Here, a series of resampling
 experiments based on different sets of synthetic data is presented in
 order to derive an upper-bound estimate (i.e. a level achieved only
 within ideal conditions) for its accuracy. For real-world
 applications, a lower accuracy has to be expected.  We also quantify
 the maximum accuracy expected when scaling is used for determining
 the glacier volume change, and area change of a given glacier
 population. A comprehensive set of measured glacier areas, volumes,
 area and volume changes is evaluated to investigate the impact of
 real-world data quality on the so-assessed accuracies. For
 populations larger than a few thousand glaciers, the total ice volume
 can be recovered within 30% if all data currently available
 worldwide are used for estimating the scaling parameters. Assuming no
 systematic bias in ice volume measurements, their uncertainty is of
 secondary importance. Knowing the individual areas of a glacier
 sample for two points in time allows recovering the corresponding ice
 volume change within 40% for populations larger than a few hundred
 glaciers, both for steady-state and transient geometries. If ice
 volume changes can be estimated without bias, glacier area changes
 derived from volume–area scaling show similar uncertainties to those of
 the volume changes. This paper does not aim at making a final
 judgement on the suitability of volume–area scaling as such, but
 provides the means for assessing the accuracy expected from its
 application.</p>
</abstract>
<counts><page-count count="14"/></counts>
</article-meta>
</front>
<body/>
<back>
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