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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-2026-3541</article-id>
<title-group>
<article-title>Implementing Marine Aerosol Ice Nucleation Parametrizations in the Unified Model: Mitigating the Cloud Radiative Bias During a Case Study Over the Southern Ocean</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Pei</surname>
<given-names>Zhangcheng</given-names>
<ext-link>https://orcid.org/0000-0002-6871-3918</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>Fiddes</surname>
<given-names>Sonya L.</given-names>
<ext-link>https://orcid.org/0000-0002-2752-0845</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>Mallet</surname>
<given-names>Marc D.</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>Woodhouse</surname>
<given-names>Matthew T.</given-names>
<ext-link>https://orcid.org/0000-0002-9892-4492</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>Alexander</surname>
<given-names>Simon P.</given-names>
<ext-link>https://orcid.org/0000-0001-6823-8857</ext-link>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Protat</surname>
<given-names>Alain</given-names>
<ext-link>https://orcid.org/0000-0002-8933-874X</ext-link>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Furtado</surname>
<given-names>Kalli</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Field</surname>
<given-names>Paul R.</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Australian Antarctic Program Partnership, Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, Australia</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Bureau of Meteorology, Hobart, Australia</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Environment, CSIRO, Aspendale, Australia</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>Australian Antarctic Division, Kingston, Australia</addr-line>
</aff>
<aff id="aff5">
<label>5</label>
<addr-line>Bureau of Meteorology, Melbourne, Australia</addr-line>
</aff>
<aff id="aff6">
<label>6</label>
<addr-line>National Oceanography Centre, Southampton, UK</addr-line>
</aff>
<aff id="aff7">
<label>7</label>
<addr-line>Met Office, Exeter, UK</addr-line>
</aff>
<pub-date pub-type="epub">
<day>09</day>
<month>07</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>38</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Zhangcheng Pei 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-2026-3541/">This article is available from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-3541/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2026/egusphere-2026-3541/egusphere-2026-3541.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-3541/egusphere-2026-3541.pdf</self-uri>
<abstract>
<p>Mixed-phase clouds over the Southern Ocean profoundly influence Earth&apos;s radiative balance, yet climate models persistently exhibit a positive surface shortwave radiation bias driven by over-glaciation in mixed-phase clouds. Addressing this bias requires accurate representation of ice-nucleating particles (INPs). This study presents the first online implementation of aerosol-aware marine INP parametrizations derived interactively from sea spray and marine organic aerosols within the high-resolution Unified Model. Using CAPRICORN-2 shipborne observations, we demonstrate that the default INP scheme overestimates INP concentrations by up to four orders of magnitude, causing a severely underestimated liquid water path. In contrast, empirical Antarctic and deterministic marine INP schemes reproduce the low INP concentrations typical of the pristine Southern Ocean, improving cloud and radiative properties. Crucially, microphysical and radiative responses to these INP reductions are strongly regime-dependent. In deep, pre-frontal mixed-phase clouds, suppressing INP concentrations effectively inhibits cloud glaciation, significantly enhancing supercooled liquid water and largely mitigating the surface shortwave radiation bias. However, in shallow, post-frontal stratocumulus clouds, altering INP parametrization yields negligible improvements. Radiosonde evaluations reveal this insensitivity is driven by several model deficits, including systematically smoothed boundary layer inversions leading to excessive dry air entrainment, exacerbated by underestimated cyclonic moisture transport. Consequently, these shallow clouds are thermodynamically starved of water vapor, rendering microphysical INP adjustments ineffective. Ultimately, fully resolving Southern Ocean cloud-radiation biases requires synergistic advancements in representing aerosols, boundary layer physics and large-scale meteorological forcings.</p>
</abstract>
<counts><page-count count="38"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>China Scholarship Council</funding-source>
<award-id>202206330006</award-id>
</award-group>
<award-group id="gs2">
<funding-source>U.S. Department of Energy</funding-source>
<award-id>DE-SC0022001</award-id>
</award-group>
</funding-group>
</article-meta>
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