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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-2026-2846</article-id>
<title-group>
<article-title>Meteorological normalization of surface ozone variability across warm and cold seasons in China during 2015&amp;ndash;2024</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ye</surname>
<given-names>Zhenying</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>Liu</surname>
<given-names>Run</given-names>
<ext-link>https://orcid.org/0000-0002-0239-1354</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>Hu</surname>
<given-names>Tingting</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Chen</surname>
<given-names>Guoxin</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>Wu</surname>
<given-names>Min</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>College of Environment and Climate, Institute for Environmental and Climate Research, Jinan University, Guangzhou,  511443, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Fujian Academy of Environmental Sciences, Fuzhou, 350013, China</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Fujian Key Laboratory of Environmental Engineering, Fuzhou, 350013, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>23</day>
<month>06</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>28</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Zhenying Ye 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-2026-2846/">This article is available from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-2846/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2026/egusphere-2026-2846/egusphere-2026-2846.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-2846/egusphere-2026-2846.pdf</self-uri>
<abstract>
<p>Surface ozone (O&lt;sub&gt;3&lt;/sub&gt;) concentrations in China have continued to increase despite substantial reductions in primary air pollutants, but the relative roles of meteorological variability and longer-term non-meteorological changes remain uncertain across seasons and regions. Here, we applied a LightGBM-based meteorological normalization framework combined with SHapley Additive exPlanations (SHAP) to investigate interannual variations in maximum daily 8 h average O&lt;sub&gt;3&lt;/sub&gt; (MDA8 O&lt;sub&gt;3&lt;/sub&gt;) across China during warm and cold seasons from 2015 to 2024. The model reproduced daily MDA8 O&lt;sub&gt;3&lt;/sub&gt; variability reasonably well, with mean testing R&lt;sup&gt;2&lt;/sup&gt; values of 0.71 and 0.77 in the warm and cold seasons, respectively. Observed national mean MDA8 O&lt;sub&gt;3&lt;/sub&gt; increased by 2.1 &amp;mu;g m&lt;sup&gt;-3&lt;/sup&gt; yr&lt;sup&gt;-1&lt;/sup&gt; in the warm season and 1.7 &amp;mu;g m&lt;sup&gt;-3&lt;/sup&gt; yr&lt;sup&gt;-1&lt;/sup&gt; in the cold season. After meteorological normalization, MDA8 O&lt;sub&gt;3&lt;/sub&gt; still increased at 1.2 &amp;mu;g m&lt;sup&gt;-3&lt;/sup&gt; yr&lt;sup&gt;-1&lt;/sup&gt; in both seasons, indicating that the decadal O&lt;sub&gt;3&lt;/sub&gt; increase was mainly associated with non-meteorological components. SHAP analysis revealed distinct seasonal and regional meteorological associations. During the warm season, temperature and solar radiation were more important in northern inland and basin regions, whereas relative humidity and wind-field variables were more important in southern coastal regions. During the cold season, solar radiation dominated across most regions, while relative humidity was more important in the Pearl River Delta. The net meteorological contribution shifted from generally negative during 2015&amp;ndash;2019 to positive after 2019, indicating that the recent unfavorable meteorological conditions have amplified O&lt;sub&gt;3&lt;/sub&gt; pollution in several regions.</p>
</abstract>
<counts><page-count count="28"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>National Key Research and Development Program of China</funding-source>
<award-id>2023YFC3706204</award-id>
</award-group>
</funding-group>
</article-meta>
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