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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-2026-3440</article-id>
<title-group>
<article-title>Land-use-specific soil NO&lt;sub&gt;&lt;em&gt;x&lt;/em&gt;&lt;/sub&gt; emissions in eastern China derived from TROPOMI observations</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhao</surname>
<given-names>Yaqiu</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>van der A</surname>
<given-names>Ronald J.</given-names>
<ext-link>https://orcid.org/0000-0002-0077-5338</ext-link>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ding</surname>
<given-names>Jieying</given-names>
<ext-link>https://orcid.org/0000-0003-1263-2876</ext-link>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lin</surname>
<given-names>Xiaojuan</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhang</surname>
<given-names>Qianqian</given-names>
<ext-link>https://orcid.org/0009-0004-3329-2617</ext-link>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Chinese Academy of Meteorological Sciences, China Meteorology Administration, Beijing 100081, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>National Satellite Meteorological Center, Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, Innovation Center for Fengyun Meteorological Satellite (FYSIC), China Meteorology Administration, Beijing  100081, China</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>KNMI-NUIST Center for Atmospheric Composition, Nanjing University of Information Science &amp; Technology (NUIST), Nanjing, China</addr-line>
</aff>
<aff id="aff5">
<label>5</label>
<addr-line>Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France</addr-line>
</aff>
<aff id="aff6">
<label>6</label>
<addr-line>Centre national d’études spatiales (CNES), 2 Place Maurice Quentin, 75039, Paris, France</addr-line>
</aff>
<pub-date pub-type="epub">
<day>13</day>
<month>07</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>29</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Yaqiu Zhao 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-2026-3440/">This article is available from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-3440/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2026/egusphere-2026-3440/egusphere-2026-3440.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-3440/egusphere-2026-3440.pdf</self-uri>
<abstract>
<p>Quantifying soil nitrogen oxide (NO&lt;em&gt;&lt;sub&gt;x&lt;/sub&gt;&lt;/em&gt;) emissions is essential for constraining the nitrogen cycle and understanding its impacts on atmospheric chemistry and regional air quality. This study presents the first land-use-specific estimate of soil NO&lt;em&gt;&lt;sub&gt;x&lt;/sub&gt;&lt;/em&gt; emissions across eastern China derived from TROPOMI satellite observations at a spatial resolution of 0.2&amp;deg; &amp;times; 0.2&amp;deg;, covering forest, cropland, grassland/shrubland and bare land. We derive the emission intensity factor &lt;em&gt;&amp;beta;&lt;/em&gt; for these land use types as functions of soil temperature (T&lt;sub&gt;s&lt;/sub&gt;) and soil volumetric water content (&amp;theta;&lt;sub&gt;v&lt;/sub&gt;). Total soil NO&lt;em&gt;&lt;sub&gt;x&lt;/sub&gt;&lt;/em&gt; emissions from eastern China in 2019 are estimated to be 1305 &amp;plusmn; 368 Gg N, with largest contributions from cropland (623 &amp;plusmn; 267 Gg N, ~ 48 %) and forest (486 &amp;plusmn; 124 Gg N, ~ 37 %). High-emission areas (&amp;gt; 4 kg N ha&lt;sup&gt;-1&lt;/sup&gt; yr&lt;sup&gt;-1&lt;/sup&gt;) are concentrated in the North China Plain, and all land use types show summer-peak seasonal patterns. Soil NO&lt;em&gt;&lt;sub&gt;x&lt;/sub&gt;&lt;/em&gt; emissions exhibit land-use-specific responses to temperature and moisture. Most land use types show a clear optimum temperature and high-temperature inhibition effect, which are captured by a Gaussian response function. We find that existing global emission inventories may underestimate soil NO&lt;em&gt;&lt;sub&gt;x&lt;/sub&gt;&lt;/em&gt; emissions from forests in China. The comparison with other emission inventories and soil emission observations demonstrates that the proposed method provides a reliable basis for estimating soil NO&lt;em&gt;&lt;sub&gt;x&lt;/sub&gt;&lt;/em&gt; emissions by capturing land-use-specific responses to environmental drivers. This satellite-based approach can provide input to the formulation of emission reduction strategies and support ecosystem management under climate change.</p>
</abstract>
<counts><page-count count="29"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>National Natural Science Foundation of China</funding-source>
<award-id>42375106</award-id>
</award-group>
</funding-group>
</article-meta>
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