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<journal-meta>
<journal-id journal-id-type="publisher">OSD</journal-id>
<journal-title-group>
<journal-title>Ocean Science Discussions</journal-title>
<abbrev-journal-title abbrev-type="publisher">OSD</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Ocean Sci. Discuss.</abbrev-journal-title>
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<issn pub-type="epub">1812-0822</issn>
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<publisher-loc>Göttingen, Germany</publisher-loc>
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<article-meta>
<article-id pub-id-type="doi">10.5194/os-2019-111</article-id>
<title-group>
<article-title>Numerical Investigation of Typhoon Waves Generated by Three Typhoons in the China Sea</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Shi</surname>
<given-names>Qing</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>Tang</surname>
<given-names>Jun</given-names>
<ext-link>https://orcid.org/0000-0002-4235-4275</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>Shen</surname>
<given-names>Yongming</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>Ma</surname>
<given-names>Yuxiang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>State Key laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116023, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou 510006, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>09</day>
<month>10</month>
<year>2019</year>
</pub-date>
<volume>2019</volume>
<fpage>1</fpage>
<lpage>26</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2019 Qing Shi et al.</copyright-statement>
<copyright-year>2019</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://os.copernicus.org/preprints/os-2019-111/">This article is available from https://os.copernicus.org/preprints/os-2019-111/</self-uri>
<self-uri xlink:href="https://os.copernicus.org/preprints/os-2019-111/os-2019-111.pdf">The full text article is available as a PDF file from https://os.copernicus.org/preprints/os-2019-111/os-2019-111.pdf</self-uri>
<abstract>
<p>&lt;p&gt;The typhoon waves generated in the China Sea during the Chan-hom (1509), Linfa (1510) and Nangka (1511) typhoons that occurred in 2015 were numerically investigated. The wave model was based on the a third generation spectral wind-wave model SWAN, in which the wind fields for driving waves were derived from the ERA-interim (ECMWF), CFSv2 (The NCEP Climate Forecast System Version 2) and CCMP (Cross-Calibrated Multi-Platform) datasets. The numerical results were validated using buoy data and satellite observation data. The simulation results under the three types of wind fields were in good agreement with the observed data. The CCMP wind data was the best in simulating waves overall, and the wind speeds pertaining to ERA and CCMP were notably smaller than those observed near the typhoon centre. The Holland wind model was used to revise and optimize the wind speed pertaining to the CCMP near the typhoon centre, and the wind speed correction coefficient, correction formula and corresponding parameters were determined. Based on these findings, the CCMP and CCMP/Holland blended wind fields were used to simulate the typhoon waves generated during the Meranti (1614), Rai (1615) and Malakas (1616) typhoons that occurred in September 2016. A comparison between the simulated wave heights and those obtained from the Jason-2 altimeter data indicated that all correlation coefficients between the simulated values and the satellite observations were greater than 0.75. The blended wind field was better overall in simulating the wave heights. The simulated maximum wave heights were more similar to the satellite observations, and the root mean square error of the blended wind field was 0.223&amp;thinsp;m lower than that of the CCMP. The results demonstrated that the CCMP wind-driven SWAN model could appropriately simulate the typhoon waves generated by three typhoons in China Sea, and the use of the CCMP/Holland blended wind field could effectively improve the accuracy of typhoon wave simulations.&lt;/p&gt;</p>
</abstract>
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