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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-2026-5057</article-id>
<title-group>
<article-title>GNSS Reflectometry on the McMurdo Ice Shelf</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Datta-Barua</surname>
<given-names>Seebany</given-names>
<ext-link>https://orcid.org/0000-0002-7685-5625</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>Banwell</surname>
<given-names>Alison F.</given-names>
<ext-link>https://orcid.org/0000-0001-9545-829X</ext-link>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wilkes</surname>
<given-names>Jonah</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>Weedman</surname>
<given-names>Alec</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>Parvizi</surname>
<given-names>Roohollah</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>Allen</surname>
<given-names>Christian</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>Verdin</surname>
<given-names>Aiden</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>Kawai</surname>
<given-names>Hiroki</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>Garcia</surname>
<given-names>Logan</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>Larson</surname>
<given-names>Kristine M.</given-names>
<ext-link>https://orcid.org/0000-0003-4666-8885</ext-link>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Illinois Institute of Technology, Mechanical, Materials and Aerospace Engineering Department, 10 W. 32nd St., RE-243, Chicago, IL 60616, USA</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, CO 80309, USA</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Centre for Polar Observation and Modelling (CPOM), School of Geography and Natural Sciences, Northumbria University, Newcastle Upon Tyne, UK</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>Department of Aerospace Engineering Sciences, University of Colorado Boulder, Boulder, CO, USA</addr-line>
</aff>
<pub-date pub-type="epub">
<day>08</day>
<month>09</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>32</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Seebany Datta-Barua et al.</copyright-statement>
<copyright-year>2026</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/2026/egusphere-2026-5057/">This article is available from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-5057/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2026/egusphere-2026-5057/egusphere-2026-5057.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-5057/egusphere-2026-5057.pdf</self-uri>
<abstract>
<p>The ability to monitor glaciated surface types, including snow, ice and meltwater, at a high spatial resolution, is critical for monitoring overall glacier mass balance. Using an Antarctic ice shelf as a study site, we tested the feasibility of Global Navigation Satellite System reflectometry (GNSS-R) and GNSS interferometric reflectometry (GNSS-IR) in monitoring glacier surfaces. During the 2023&amp;ndash;24 Antarctic austral summer, we conducted a field campaign to collect GNSS-R front-end samples from one 9-m tower and GNSS-IR samples from one 1.5-m tower offset 14 m away horizontally, at each of two sites located on the McMurdo Ice Shelf near McMurdo Station, Antarctica. &amp;nbsp;The towers near Phoenix airfield were on snow-covered ice. &amp;nbsp;The towers near McMurdo&apos;s former Pegasus airfield were on a heterogeneous surface of bare ice and snow-covered ice, which varied temporally. &amp;nbsp;From mid-November to early December 2023, we collected GNSS-R, GNSS-IR, camera imagery, and lidar data of the glacier surface within a 20 m radius at each of the two 9-m tower sites. All data were returned to the lab for post-processing.&lt;/p&gt;
&lt;p&gt;We show our results processing the GNSS-R front-end samples to estimate the surface reflectivity from the signal-to-noise ratio. &amp;nbsp;We find that the GNSS-R signal-to-noise ratio is insufficiently strong for estimating surface reflectivity. We also show our results processing the Earthscope geodetic receiver data for interferometric reflectometry, looking at the spectral peak amplitude as the indicator of surface type. We find that the GNSS-IR spectral peak amplitude mean and bias differ between the two sites, but cannot rule out the role that hardware differences between the sites may have in this.</p>
</abstract>
<counts><page-count count="32"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>Office of Polar Programs</funding-source>
<award-id>1940473</award-id>
<award-id>1940483</award-id>
</award-group>
<award-group id="gs2">
<funding-source>Illinois Space Grant Consortium</funding-source>
<award-id>80NSSC25M7083</award-id>
</award-group>
</funding-group>
</article-meta>
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