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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-2025-3829</article-id>
<title-group>
<article-title>Development of the global chemistry-climate coupled model BCC-GEOS-Chem v2.0: improved atmospheric chemistry performance and new capability of chemistry-climate interactions</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sun</surname>
<given-names>Ruize</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lu</surname>
<given-names>Xiao</given-names>
<ext-link>https://orcid.org/0000-0002-5989-0912</ext-link>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lin</surname>
<given-names>Haipeng</given-names>
<ext-link>https://orcid.org/0000-0003-2777-2724</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>Wu</surname>
<given-names>Tongwen</given-names>
<ext-link>https://orcid.org/0000-0001-5187-9121</ext-link>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ye</surname>
<given-names>Xingpei</given-names>
<ext-link>https://orcid.org/0000-0002-7899-5031</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>Lu</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>Wang</surname>
<given-names>Xuan</given-names>
<ext-link>https://orcid.org/0000-0002-8532-5773</ext-link>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wang</surname>
<given-names>Haolin</given-names>
<ext-link>https://orcid.org/0000-0001-8783-3782</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>Li</surname>
<given-names>Jingyu</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>Lu</surname>
<given-names>Ni</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>Su</surname>
<given-names>Jiayin</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>Zhang</surname>
<given-names>Jie</given-names>
<ext-link>https://orcid.org/0000-0002-8925-1011</ext-link>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhang</surname>
<given-names>Fang</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Xin</surname>
<given-names>Xiaoge</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Liu</surname>
<given-names>Xiong</given-names>
<ext-link>https://orcid.org/0000-0003-2939-574X</ext-link>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhang</surname>
<given-names>Lin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, Guangdong, China</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, United States of  America</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>State Key Laboratory of Disaster Weather Science and Technology, CMA EMPC</addr-line>
</aff>
<aff id="aff5">
<label>5</label>
<addr-line>CMA Earth System Modeling and Prediction Centre, China Meteorological Administration, Beijing, China</addr-line>
</aff>
<aff id="aff6">
<label>6</label>
<addr-line>School of Energy and Environment, City University of Hong Kong, Hong Kong SAR, China</addr-line>
</aff>
<aff id="aff7">
<label>7</label>
<addr-line>Center for Astrophysics | Harvard &amp; Smithsonian, Cambridge, MA 02138, USA</addr-line>
</aff>
<aff id="aff8">
<label>8</label>
<addr-line>These authors contributed equally to this work.</addr-line>
</aff>
<pub-date pub-type="epub">
<day>26</day>
<month>08</month>
<year>2025</year>
</pub-date>
<volume>2025</volume>
<fpage>1</fpage>
<lpage>42</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2025 Ruize Sun et al.</copyright-statement>
<copyright-year>2025</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/2025/egusphere-2025-3829/">This article is available from https://egusphere.copernicus.org/preprints/2025/egusphere-2025-3829/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2025/egusphere-2025-3829/egusphere-2025-3829.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2025/egusphere-2025-3829/egusphere-2025-3829.pdf</self-uri>
<abstract>
<p>Interactions between atmospheric chemical compounds and climate have a great impact on the earth system and atmospheric chemistry. However, the online two-way chemistry-climate coupled model, an indispensable tool for quantifying chemistry-climate interactions and projecting future air quality with climate change, remains sparse due to the considerable challenge in model complexity and computational resources. We present the development and evaluation of BCC-GEOS-Chem v2.0, which couples the GEOS-Chem chemical transport model (v14.0.1) with the Beijing Climate Centre Earth System Model (BCC-ESM). Based on the modular framework of BCC-GEOS-Chem v1.0, BCC-GEOS-Chem v2.0 further couples the Harmonized Emissions Component (HEMCO) to manage anthropogenic emission inventories and natural emissions, updates the chemical mechanism, includes the feedback of aerosols and greenhouse gases, and develops the capability for high-resolution simulation. The standard chemical mechanism in the BCC-GEOS-Chem v2.0 features a comprehensive O&lt;sub&gt;x&lt;/sub&gt;-NO&lt;sub&gt;x&lt;/sub&gt;-VOC-halogen-aerosol chemical scheme for the troposphere and the stratosphere. We further evaluate the performance of the BCC-GEOS-Chem v2.0 simulation in representing atmospheric chemistry and compare with the model outputs from the BCC-GEOS-Chem v1.0 and BCC-AGCM-Chem over the simulated time period (2012&amp;ndash;2014) at a spatial resolution of T42L26 (approximately 2.8&amp;deg;&amp;times; 2.8&amp;deg; and 26 vertical layers with a top at 2.914 hPa). BCC-GEOS-Chem v2.0 accurately depicts the primary seasonal and spatial distributions of tropospheric ozone observed by multiple instruments, showing small global mean biases of -2.1&amp;minus;1.8 ppbv for mid-tropospheric (700&amp;ndash;400 hPa) ozone concentrations relative to satellite observations, along with high spatial correlation coefficient (&lt;em&gt;r&lt;/em&gt;) of 0.77&amp;minus;0.92 for individual seasons. It also demonstrates improved performance in simulating tropospheric carbon monoxide (CO), nitrogen dioxides (NO&lt;sub&gt;2&lt;/sub&gt;), formaldehyde (CH&lt;sub&gt;2&lt;/sub&gt;O) and surface PM&lt;sub&gt;2.5 &lt;/sub&gt;compared with both BCC-GEOS-Chem v1.0 and the BCC-AGCM-Chem. The diagnostics of tropospheric ozone budgets (a global tropospheric ozone burden of 355 Tg) and OH concentrations (0.97&amp;times;10&lt;sup&gt;6&lt;/sup&gt; molecule cm&lt;sup&gt;-3&lt;/sup&gt;) are generally consistent with observation-constrained estimates and multi-model assessment. With the inclusions of aerosol-radiation and aerosol-cloud interactions, BCC-GEOS-Chem v2.0 reproduces the expected impacts of aerosols on radiative and cloud properties, e.g., decreasing shortwave downward solar radiation and outgoing longwave radiation, increasing cloud liquid water, and suppressing precipitations. The high-resolution simulation at T159L72 (approximately 0.75&amp;deg; &amp;times; 0.75&amp;deg; and 72 vertical layers with a top at 0.01 hPa) further improve the model capability in resolving the fine-scale plume transport dynamics and the pollution hotspot of NO&lt;sub&gt;2&lt;/sub&gt; and PM&lt;sub&gt;2.5&lt;/sub&gt; as well as the low ozone concentration in high-NO&lt;sub&gt;x&lt;/sub&gt; environment in wintertime China. The development of the BCC-GEOS-Chem v2.0 model provides a powerful tool to study climate-chemistry interactions and for future projection of global atmospheric chemistry and regional air quality.</p>
</abstract>
<counts><page-count count="42"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>National Key Research and Development Program of China</funding-source>
<award-id>2023YFC3706104</award-id>
</award-group>
<award-group id="gs2">
<funding-source>National Natural Science Foundation of China</funding-source>
<award-id>42275106</award-id>
</award-group>
<award-group id="gs3">
<funding-source>Basic and Applied Basic Research Foundation of Guangdong Province</funding-source>
<award-id>2025B1515020034</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
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