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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-2026-4336</article-id>
<title-group>
<article-title>A monthly-climatological parameterization of the surface leading-crestline morphology for internal solitary waves in the northeastern South China Sea</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yin</surname>
<given-names>Yanze</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>Gong</surname>
<given-names>Yankun</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wang</surname>
<given-names>Xu</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>Key Laboratory for Mechanics in Fluid Solid Coupling Systems, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>School of Engineering Science, University of Chinese Academy of Sciences, Beijing 100049, China</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>18</day>
<month>08</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>32</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Yanze Yin 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-2026-4336/">This article is available from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-4336/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2026/egusphere-2026-4336/egusphere-2026-4336.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-4336/egusphere-2026-4336.pdf</self-uri>
<abstract>
<p>Internal solitary waves (ISWs) in the northern South China Sea are among the most energetic worldwide, and ISWs can cause severe impacts on offshore platforms and underwater operations; rapid forecasting of the propagation process of ISWs is therefore a practical need in ocean engineering. In the actual ocean, the leading-crestline morphology at the ocean surface often provides a general indication of the propagation and evolution of the underlying internal wave. This study develops a parametric representation of surface-expressed leading-crestline morphology for the east-of-Dongsha segment of the Luzon Strait&amp;ndash;Dongsha corridor. Specifically, leading crestlines are extracted from sea-surface-height-gradient (SSHG) fields of nonhydrostatic MITgcm simulations forced by World Ocean Atlas 2018 monthly stratification, using Canny edge detection and density-based clustering. The analysis results indicate that, under the assumption of monthly climatological stratification, the crestlines binned by their along-corridor location cluster around a common, location-dependent propagation morphology that is represented by cubic polynomial curves and summarized in monthly coefficient tables. Evaluated against independent satellite-derived crestlines, the representative curves achieve a mean root-mean-square error (RMSE) of approximately 0.01&amp;deg; in longitude and a mean of 0.870. Consequently, by analyzing the monthly average climate-state leading-crestline morphology across different months of the year, we can identify the key characteristics of internal wave propagation in the northeastern South China Sea.</p>
</abstract>
<counts><page-count count="32"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>National Natural Science Foundation of China</funding-source>
<award-id>11972352, 52394254, 12132018</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
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