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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>
<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-2026-4857</article-id>
<title-group>
<article-title>Nonlinear-Constrained Geographically Weighted Regression: Enabling Multidimensional Dynamics Analysis Using Monostatic Terrestrial Radar Interferometry at Helheim Glacier</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhang</surname>
<given-names>Chentong</given-names>
<ext-link>https://orcid.org/0009-0000-1083-594X</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>Wang</surname>
<given-names>Xianwei</given-names>
<ext-link>https://orcid.org/0000-0002-2119-0267</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>Zhou</surname>
<given-names>Yi</given-names>
<ext-link>https://orcid.org/0009-0007-9646-6057</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>Holland</surname>
<given-names>David M.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Holland</surname>
<given-names>Denise</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>State Key Laboratory of Submarine Geoscience; Key Laboratory of Polar Ecosystem and Climate Change, Ministry of  Education; Shanghai Key Laboratory of Polar Life and Environment Sciences; and School of Oceanography, Shanghai Jiao Tong University. Shanghai, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Courant Institute of Mathematical Sciences, New York University. New York, USA</addr-line>
</aff>
<pub-date pub-type="epub">
<day>30</day>
<month>09</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>44</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Chentong Zhang 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-2026-4857/">This article is available from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-4857/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2026/egusphere-2026-4857/egusphere-2026-4857.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-4857/egusphere-2026-4857.pdf</self-uri>
<abstract>
<p>Monostatic Terrestrial Radar Interferometry (TRI) provides an alternative approach for glacier one-dimensional velocity mapping when bistatic configurations are unavailable. However, existing monostatic methods typically rely on a single source of auxiliary information, limiting error suppression and reducing the accuracy of velocity retrieval. Here, we propose a nonlinear-constrained Geographically Weighted Regression (NL-GWR) framework that integrates TRI interferometric and amplitude-derived displacement observations with external velocity constraints under prior physical assumptions including short-term velocity-direction invariance and parallel flow to retrieve glacier velocity over Helheim Glacier in August, 2016. Validated against synchronous bistatic TRI measurements, NL-GWR achieves superior consistency metric between monostatic and bistatic measurements by mitigating quality deficiencies in amplitude-derived observations and alleviating the ill-conditioning inherent in conventional approaches. Leveraging this capability, we derive a 16-day velocity sequence at the Helheim Glacier terminus, where we identify short-term periodic variations in glacier velocity and strain rate potentially driven by both tidal forcing and meltwater processes. In addition, our analysis reveals a transition zone between the dominant controls on glacier motion located approximately 1&amp;ndash;3 km upstream of the calving front. The proposed framework provides a practical pathway for overcoming the inherent information limitations of monostatic TRI in resource-constrained glacier kinematic studies and offers new opportunities for capturing and inferring the external forcing mechanisms driving changes at glacier terminus.</p>
</abstract>
<counts><page-count count="44"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>National Natural Science Foundation of China</funding-source>
<award-id>42276237</award-id>
</award-group>
<award-group id="gs2">
<funding-source>National Science Foundation</funding-source>
<award-id>PLR-2151295</award-id>
</award-group>
</funding-group>
</article-meta>
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