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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-2026-4668</article-id>
<title-group>
<article-title>Community Challenge for Image-Derived Observation of Sea Ice Drift and Deformation</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kaidel</surname>
<given-names>Larson</given-names>
<ext-link>https://orcid.org/0009-0007-7154-125X</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>Polashenski</surname>
<given-names>Christopher</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-group><aff id="aff1">
<label>1</label>
<addr-line>Dartmouth College Thayer School of Engineering, Hanover, New Hampshire, 03755,  United States of America</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Cold Regions Research and Engineering Laboratory, Hanover, New Hampshire, 03755,  United States of America</addr-line>
</aff>
<pub-date pub-type="epub">
<day>31</day>
<month>08</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>41</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Larson Kaidel</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-2026-4668/">This article is available from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-4668/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2026/egusphere-2026-4668/egusphere-2026-4668.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-4668/egusphere-2026-4668.pdf</self-uri>
<abstract>
<p>Ongoing and unprecedented Arctic sea ice changes impact Arctic life, industry, and the environment. The sea ice cover is becoming younger, thinner, less expansive, and more dynamic; important changes we do not fully understand. Measuring sea ice motion with high fidelity, over large areas and long timescales, is needed to assess how ice dynamics are evolving. Addressing key hypotheses about ice dynamics will improve predictions of Arctic sea ice and climate change and enable developing strategies to adapt to and mitigate adverse effects of sea ice loss. Therefore, we seek to accelerate the development of tools that measure sea ice motion and deformation.&lt;/p&gt;
&lt;p&gt;Current tools for extracting sea ice motion from remote sensing imagery produce motion fields too coarse in resolution to resolve individual floes and fractures and have a limited ability to resolve certain types of motion such as floe rotation. Addressing these shortcomings by deploying higher fidelity motion analysis over large areas and at high cadence, is needed to test hypotheses about the effect of small scale fracture mechanics on larger scale motion. We aim to focus such efforts by creating a &amp;ldquo;community challenge problem&amp;rdquo; against which methods can be tested. We release a dataset that includes all necessary input imagery and a standardized validation process using ground truth motion derived from extensive drifting buoy networks. The problem is documented in a manner designed to enable contributions to the challenge from outside the core sea ice community.</p>
</abstract>
<counts><page-count count="41"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>Office of Naval Research</funding-source>
<award-id>N00014-23-MP-00532</award-id>
<award-id>N00014-20-1-2728</award-id>
<award-id>N00014-19-1-2603</award-id>
<award-id>N00014-20-1-2595</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
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