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<front>
<journal-meta>
<journal-id journal-id-type="publisher">EGUsphere</journal-id>
<journal-title-group>
<journal-title>EGUsphere</journal-title>
<abbrev-journal-title abbrev-type="publisher">EGUsphere</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">EGUsphere</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub"></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/egusphere-2024-1353</article-id>
<title-group>
<article-title>Ground ice estimation in permafrost samples using industrial Computed Tomography</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Roustaei</surname>
<given-names>Mahya</given-names>
<ext-link>https://orcid.org/0000-0002-6716-2579</ext-link>
</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>Pumple</surname>
<given-names>Joel</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>Harvey</surname>
<given-names>Jordan</given-names>
<ext-link>https://orcid.org/0000-0002-6063-7762</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Froese</surname>
<given-names>Duane</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, Canada</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Geotechnics Laboratory, Ghent University, Technologiepark 68, 9052 Zwijnaarde, Belgium</addr-line>
</aff>
<pub-date pub-type="epub">
<day>10</day>
<month>06</month>
<year>2024</year>
</pub-date>
<volume>2024</volume>
<fpage>1</fpage>
<lpage>33</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2024 Mahya Roustaei et al.</copyright-statement>
<copyright-year>2024</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1353/">This article is available from https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1353/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1353/egusphere-2024-1353.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2024/egusphere-2024-1353/egusphere-2024-1353.pdf</self-uri>
<abstract>
<p>The distribution and abundance of ground ice in permafrost is a fundamental property that determines the potential for thaw subsidence and terrain effects of permafrost landscapes. However, most methods to characterize permafrost are destructive and of low resolution. Here, some of the limitations of traditional destructive methods are overcome using industrial computed tomography (CT) scanning to systematically log permafrost cores, visualize cryostructures, measure frozen bulk density, and estimate volumetric and excess ice contents non-destructively. The results show strong agreement with destructive analyses as well as recent developments using a multi-sensor core logger (MSCL), demonstrating that these approaches can produce consistent results, and provide the added benefit of enhanced digital archives of permafrost physical properties. Development of standardized and interoperable methods for permafrost characterization will build more robust permafrost datasets and strengthen efforts to understand future thaw trajectories of permafrost landscapes.</p>
</abstract>
<counts><page-count count="33"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada</funding-source>
<award-id>NSERC funded Permafrost Partnership Network for Canada (PermafrostNet)&amp;NSERC Discovery grant to Duane Froese</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
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