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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-2025-5811</article-id>
<title-group>
<article-title>Technical note: 12-km resolution capability for the global GEOS-Chem model of atmospheric composition</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wang</surname>
<given-names>Xiaolin</given-names>
<ext-link>https://orcid.org/0000-0001-6772-0350</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>Sulprizio</surname>
<given-names>Melissa P.</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>Zhuge</surname>
<given-names>Yuyao</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>Martin</surname>
<given-names>Randall V.</given-names>
<ext-link>https://orcid.org/0000-0003-2632-8402</ext-link>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jacob</surname>
<given-names>Daniel J.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Department of Energy, Environmental &amp; Chemical Engineering, Washington University in St.  Louis, St. Louis, MO, USA</addr-line>
</aff>
<pub-date pub-type="epub">
<day>06</day>
<month>02</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>18</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Xiaolin Wang 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-2025-5811/">This article is available from https://egusphere.copernicus.org/preprints/2026/egusphere-2025-5811/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2026/egusphere-2025-5811/egusphere-2025-5811.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2026/egusphere-2025-5811/egusphere-2025-5811.pdf</self-uri>
<abstract>
<p>We present a new 12-km nested resolution capability in the GEOS-Chem global model of atmospheric composition. This capability can be applied to simulations for any user-selected domain worldwide from March 2021 onward by accessing a new hourly cubed-sphere C720 (&amp;asymp;0.125&amp;deg;&amp;times;0.15625&amp;deg; or 12&amp;times;12 km&lt;sup&gt;2&lt;/sup&gt;) global wind archive from the NASA GEOS-FP meteorological data assimilation system. We evaluate this 12-km configuration of GEOS-Chem by comparison with the standard 25-km nested configuration in simulations of transport tracers, oxidant-aerosol chemistry, and inversions of satellite data using the Integrated Methane Inversion (IMI). The 12-km simulation features stronger vertical transport (up to 20 % lower surface &lt;sup&gt;222&lt;/sup&gt;Rn concentrations)&lt;sup&gt; &lt;/sup&gt;because it better captures eddy fluxes both spatially and temporally. Aerosol deposition and stratosphere&amp;ndash;troposphere exchange are similar at the two resolutions. The 12-km oxidant-aerosol chemistry can better simulate urban observations of NO&lt;sub&gt;2&lt;/sub&gt;, with stronger ozone urban titration but slightly higher surface ozone background due to enhanced vertical transport. 12-km and 25-km inversions using the IMI show highly consistent results on the regional scale, but the 12-km inversion provides greater information and improved spatial detail to resolve emissions from different sectors.</p>
</abstract>
<counts><page-count count="18"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>United Nations Environment Programme</funding-source>
<award-id>International Methane Emissions Observatory (IMEO)</award-id>
</award-group>
<award-group id="gs2">
<funding-source>NASA Headquarters</funding-source>
<award-id>80NSSC23K0926</award-id>
</award-group>
<award-group id="gs3">
<funding-source>Directorate for Geosciences</funding-source>
<award-id>2244984</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
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