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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>
<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-2026-5878</article-id>
<title-group>
<article-title>Surface nitrate photochemistry explains the long-standing missing source of nitrous acid</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhou</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>Pan</surname>
<given-names>Shunde</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>Ye</surname>
<given-names>Chunxiang</given-names>
<ext-link>https://orcid.org/0000-0002-5417-2671</ext-link>
</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>Wang</surname>
<given-names>Jianshu</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>Zhang</surname>
<given-names>Chong</given-names>
<ext-link>https://orcid.org/0000-0002-3852-3056</ext-link>
</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>Wang</surname>
<given-names>Haoqi</given-names>
<ext-link>https://orcid.org/0000-0001-9002-0774</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>Song</surname>
<given-names>Shaojie</given-names>
<ext-link>https://orcid.org/0000-0001-6395-7422</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>Lin</surname>
<given-names>Weili</given-names>
<ext-link>https://orcid.org/0000-0002-0711-6378</ext-link>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhu</surname>
<given-names>Tong</given-names>
<ext-link>https://orcid.org/0000-0002-2752-7924</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>SKL-ESPC &amp; SEPKL-AERM, College of Environmental Sciences and Engineering,  and Center for Environment and Science, Peking University, Beijing 100871, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Tibet University Workstation for Academician and Scientist of Alpine Ecological,  Environment and Environmental Health, Tibet University, Lhasa 850000, Tibet, China</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Key Laboratory of Urban Air Particulate Pollution Prevention and Control of Ministry of Ecology and Environment, College of Environmental Science and Engineering,   Nankai University, Tianjin, 300350, China</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>College of Life and Environmental Sciences, Minzu University of China, Beijing  100081, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>13</day>
<month>10</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>21</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Wenhao Zhou 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-2026-5878/">This article is available from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-5878/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2026/egusphere-2026-5878/egusphere-2026-5878.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-5878/egusphere-2026-5878.pdf</self-uri>
<abstract>
<p>Atmospheric nitrous acid (HONO) is the primary precursor to the hydroxyl radical (OH), yet state-of-the-art models systematically underestimate its ambient concentrations, pointing to missing sources. Laboratory experiments have implicated surface nitrate (sNO&lt;sub&gt;3&lt;/sub&gt;) within grime, a ubiquitous film on urban and natural surfaces, as a photochemical HONO source, but its atmospheric significance remains unconstrained. Here we develop a process-based kinetic parameterization for sNO&lt;sub&gt;3&lt;/sub&gt; photolysis, constrained by controlled experiments and HONO flux measurements. We find that the HONO production rate is governed by the interplay of grime loading, grime chemical composition, sNO&lt;sub&gt;3&lt;/sub&gt; photolysis frequency, and the branching ratio of HONO formation. After integrating this mechanism into the GEOS-Chem, the results show that sNO&lt;sub&gt;3&lt;/sub&gt; photolysis produces HONO at rates of 20&amp;ndash;60 pptv h&lt;sup&gt;-1&lt;/sup&gt;, explaining up to 85 % of the model-measurement mismatch. Our results identify sNO&lt;sub&gt;3&lt;/sub&gt; photolysis as a considerable contributor in heavily polluted regions but a dominant source of HONO in clean environments, substantially affecting the atmospheric oxidative capacity across different chemical regimes.</p>
</abstract>
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