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<journal-meta>
<journal-id journal-id-type="publisher">SED</journal-id>
<journal-title-group>
<journal-title>Solid Earth Discussions</journal-title>
<abbrev-journal-title abbrev-type="publisher">SED</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Solid Earth Discuss.</abbrev-journal-title>
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<issn pub-type="epub">1869-9537</issn>
<publisher><publisher-name></publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
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<article-meta>
<article-id pub-id-type="doi">10.5194/se-2019-101</article-id>
<title-group>
<article-title>Anassessment of GIA solutions based on high-precision GNSS velocity field for Antarctica</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Li</surname>
<given-names>Wenhao</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>Li</surname>
<given-names>Fei</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>Zhang</surname>
<given-names>Shengkai</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>Lei</surname>
<given-names>Jintao</given-names>
<ext-link>https://orcid.org/0000-0002-4497-5868</ext-link>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhang</surname>
<given-names>Qingchuan</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>Xiao</surname>
<given-names>Feng</given-names>
<ext-link>https://orcid.org/0000-0003-3742-9380</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>Yuan</surname>
<given-names>Lexian</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan 430079, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Department of Land Surveying and Geo‑Informatics, Hong Kong Polytechnic University, Hung Hom 999077, Hong Kong, China</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>Changjiang Spatial Information Technology Engineering Co., Ltd., Wuhan 430010, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>09</day>
<month>07</month>
<year>2019</year>
</pub-date>
<volume>2019</volume>
<fpage>1</fpage>
<lpage>26</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2019 Wenhao Li 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://se.copernicus.org/preprints/se-2019-101/">This article is available from https://se.copernicus.org/preprints/se-2019-101/</self-uri>
<self-uri xlink:href="https://se.copernicus.org/preprints/se-2019-101/se-2019-101.pdf">The full text article is available as a PDF file from https://se.copernicus.org/preprints/se-2019-101/se-2019-101.pdf</self-uri>
<abstract>
<p>&lt;p&gt;Past mass loads, especially LGM (Last Glacial Maximum), may cause the viscoelastic response of the Earth, this phenomenon is the so-called glacial isostatic adjustment (GIA). GIA not only includes the horizontal and vertical motions of the crust but also the shape, the gravity field and rotation axis of the earth. Due to the uncertainties in the ice loading history and the mantle viscosity, modeling GIA will be difficult and challenging in Antarctica. The GPS velocity field provides an effective  method to constrain  the  GIA  vertical  velocity; however, to obtain the  high-precision GPS  velocity field,  we  must consider  the effects  of common  mode  error(CME) and the  choice  of optimal  noise  model (ONM).  We  used  independent component analysis(ICA) to remove the CME recorded at 79 GPS stations in Antarctica and determined the ONM of GPS time  series  based  on  the  Akaike  information  criterion  (AIC).  Then,  the  high-precision  GPS  velocity  field  is  obtained;  we used the  high-precision GPS velocity field to assess the application of GIA models in Antarctica. The results show that the maximal  GPS  velocity  variation  is  up  to  1.15&amp;thinsp;mm&amp;thinsp;yr&lt;sup&gt;&amp;minus;1&lt;/sup&gt;,  and  the  mean  variation  is 0.18&amp;thinsp;mm&amp;thinsp;yr&lt;sup&gt;&amp;minus;1&lt;/sup&gt;.  We  find  systematic underestimations of all GIA model velocities in the Amundsen Sea area (ASE). In the north Antarctic Peninsula (NAP), the vertical  velocities are  underestimated by 6 GIA  models but not the  WANG  model. Because  the  upper mantle viscosities in the NAP are lower than those in the south Antarctic Peninsula (SAP),the GPS vertical velocities in NAP regions are larger than SAP regions.  In  the  Filscher-Ronne Ice Shelves (FRIS),  the  observed  GPS  velocity  and  predicted  GIA  model  velocity are  consistent.  In East  Antarctica  (EA),  the  vertical  motion  is  nonsignificant,  and  the  GIA  and  ice  loading  have  a  small impact in this area.&lt;/p&gt;</p>
</abstract>
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