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  <front>
    <journal-meta><journal-id journal-id-type="publisher">ACP</journal-id><journal-title-group>
    <journal-title>Atmospheric Chemistry and Physics</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ACP</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Atmos. Chem. Phys.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1680-7324</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/acp-26-15375-2026</article-id><title-group><article-title>A closed-to-open cell mixed-phase cloud transition observed over the Nordic Seas under high aerosol loading and strong surface fluxes</article-title><alt-title>A closed-to-open cell mixed-phase cloud transition observed over the Nordic Seas</alt-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Ephraim</surname><given-names>Samuel</given-names></name>
          <email>samuel.ephraim@earth.miami.edu</email>
        </contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Zuidema</surname><given-names>Paquita</given-names></name>
          <email>pzuidema@miami.edu</email>
        <ext-link>https://orcid.org/0000-0003-4719-372X</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Bansemer</surname><given-names>Aaron</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-3714-1099</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Cai</surname><given-names>Lintong</given-names></name>
          
        <ext-link>https://orcid.org/0009-0000-0051-1968</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Petters</surname><given-names>Markus</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-4082-1693</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2 aff4">
          <name><surname>Rosky</surname><given-names>Elise</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-3477-4456</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Snider</surname><given-names>Jefferson R.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-9318-1343</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff6">
          <name><surname>Wang</surname><given-names>Zhien</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-3871-3834</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Woods</surname><given-names>Sarah</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-2174-8889</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff7">
          <name><surname>Barry</surname><given-names>Kevin</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-1896-1921</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Campos</surname><given-names>Theresa</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-7226-3569</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Cruikshank</surname><given-names>Owen</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-7839-0702</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff8">
          <name><surname>Eckhardt</surname><given-names>Sabine</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-6958-5375</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff8">
          <name><surname>Evangeliou</surname><given-names>Nikolaos</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-7196-1018</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff9 aff10">
          <name><surname>Foskinis</surname><given-names>Romanos</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-0221-3328</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>French</surname><given-names>Jeffrey R.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-1993-0585</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Geerts</surname><given-names>Bart</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-1508-6121</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Grasmick</surname><given-names>Coltin</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff12">
          <name><surname>Henning</surname><given-names>Silvia</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-9267-7825</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff11">
          <name><surname>Kumar</surname><given-names>Varun</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-2669-9633</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff11">
          <name><surname>Massling</surname><given-names>Andreas</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff7">
          <name><surname>Mavis</surname><given-names>Camille</given-names></name>
          
        <ext-link>https://orcid.org/0009-0009-5819-6177</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff13 aff14">
          <name><surname>McFarquhar</surname><given-names>Greg M.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-0950-0135</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff10">
          <name><surname>Nenes</surname><given-names>Athanasios</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-3873-9970</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff15">
          <name><surname>Noer</surname><given-names>Gunnar</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2 aff7">
          <name><surname>Patnaude</surname><given-names>Ryan</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-3129-8279</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff7">
          <name><surname>Perkins</surname><given-names>Russell</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-2351-2362</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff11">
          <name><surname>Sørensen</surname><given-names>Lise Lotte</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-9823-589X</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff11">
          <name><surname>Skov</surname><given-names>Henrik</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-1167-8696</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Tatro</surname><given-names>Tyler</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-8439-7249</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff16 aff17">
          <name><surname>Tornow</surname><given-names>Florian</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff11">
          <name><surname>Zhang</surname><given-names>Lu</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-5398-0693</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Department of Atmospheric Sciences, Rosenstiel School, University of Miami, Miami, FL, USA</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>U.S. NSF National Center for Atmospheric Research, Boulder, CO, USA</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Department of Chemical and Environmental Engineering, University of California at Riverside, Riverside, CA, USA</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Department of Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI, USA</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>Department of Atmospheric Science, University of Wyoming, Laramie, WY, USA</institution>
        </aff>
        <aff id="aff6"><label>6</label><institution>School of Marine and Atmospheric Sciences, State University of New York at Stony Brook, Stony Brook, NY, USA</institution>
        </aff>
        <aff id="aff7"><label>7</label><institution>Department of Atmospheric Science, Colorado State University, Ft. Collins, CO, USA</institution>
        </aff>
        <aff id="aff8"><label>8</label><institution>Stiftelsen NILU, Kjeller, Norway</institution>
        </aff>
        <aff id="aff9"><label>9</label><institution>National Technical University of Athens, Zografou, Greece</institution>
        </aff>
        <aff id="aff10"><label>10</label><institution>Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland</institution>
        </aff>
        <aff id="aff11"><label>11</label><institution>Department of Environmental Science, Aarhus University, Aarhus, Denmark</institution>
        </aff>
        <aff id="aff12"><label>12</label><institution>Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany</institution>
        </aff>
        <aff id="aff13"><label>13</label><institution>Cooperative Institute for Severe and High-Impact Weather Research and Operations, University of Oklahoma, Norman, OK, USA</institution>
        </aff>
        <aff id="aff14"><label>14</label><institution>School of Meteorology, University of Oklahoma, Norman, OK, USA</institution>
        </aff>
        <aff id="aff15"><label>15</label><institution>Met Norway, Bergen, Norway</institution>
        </aff>
        <aff id="aff16"><label>16</label><institution>Center for Climate Systems Research, Columbia University, New York, NY, USA</institution>
        </aff>
        <aff id="aff17"><label>17</label><institution>Goddard Institute for Space Studies, NASA, New York, NY, USA</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Samuel Ephraim (samuel.ephraim@earth.miami.edu) and Paquita Zuidema (pzuidema@miami.edu)</corresp></author-notes><pub-date><day>3</day><month>November</month><year>2026</year></pub-date>
      
      <volume>26</volume>
      <issue>21</issue>
      <fpage>15375</fpage><lpage>15404</lpage>
      <history>
        <date date-type="received"><day>21</day><month>May</month><year>2026</year></date>
           <date date-type="rev-request"><day>11</day><month>June</month><year>2026</year></date>
           <date date-type="rev-recd"><day>4</day><month>September</month><year>2026</year></date>
           <date date-type="accepted"><day>6</day><month>October</month><year>2026</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2026 Samuel Ephraim 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://acp.copernicus.org/articles/26/15375/2026/acp-26-15375-2026.html">This article is available from https://acp.copernicus.org/articles/26/15375/2026/acp-26-15375-2026.html</self-uri><self-uri xlink:href="https://acp.copernicus.org/articles/26/15375/2026/acp-26-15375-2026.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/26/15375/2026/acp-26-15375-2026.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d2e486">Closed-to-open cell mixed-phase cloud transitions within marine cold air outbreaks remain poorly understood despite their importance to high-latitude climate. The Cold-Air outbreak Experiment in the Sub-Arctic Region (CAESAR) research aircraft sampled a cold and polluted closed-to-open cell transition with cloud-top temperatures below <inline-formula><mml:math id="M1" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> °C and upstream cloud condensation nuclei concentrations surpassing 600 <inline-formula><mml:math id="M2" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. The aerosol likely originates from Siberian industrial emissions. As the boundary layer deepens prior to and across the transition, driven by strong turbulent surface fluxes and aided by a weakening cloud-top inversion, aerosol number concentrations decrease and supercooled droplet sizes increase, causing ice particles to shift from primarily vapor depositional growth towards riming. Precipitation shafts within open-cells contain abundant large graupel (<inline-formula><mml:math id="M3" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> mm diameter) with liquid-equivalent precipitation intensities reaching 3 <inline-formula><mml:math id="M4" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">h</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. Ice precipitation co-exists with lidar-observed surface cold pools, modulated by entrainment events, juxtaposed with surface-based plumes of warm moist air. Updrafts support liquid water production along convergence boundaries at the upwind cold pool edge. Nonetheless, strong buoyancy fluxes exceeding 200 <inline-formula><mml:math id="M5" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">W</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> prevent sub-cloud decoupling. Ice particle number concentrations increase tenfold across the transition, surpassing 10 <inline-formula><mml:math id="M6" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">L</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> within open-cells, more than <inline-formula><mml:math id="M7" display="inline"><mml:mrow><mml:mn mathvariant="normal">1000</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math></inline-formula> ice nucleating particle number concentrations. Given that cloud temperatures are too cold for Hallett-Mossop rime splintering, this indicates the importance of other secondary ice production mechanisms. This case expands the observations needed to better understand mixed-phase Arctic cloud processes.</p>
  </abstract>
    
<funding-group>
<award-group id="gs1">
<funding-source>National Science Foundation</funding-source>
<award-id>2150848</award-id>
<award-id>2151329</award-id>
<award-id>2412409</award-id>
<award-id>2150774</award-id>
<award-id>2151075</award-id>
<award-id>2150812</award-id>
<award-id>2150040</award-id>
</award-group>
<award-group id="gs2">
<funding-source>HORIZON EUROPE Research Infrastructures</funding-source>
<award-id>101008004</award-id>
</award-group>
</funding-group>
</article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d2e591">Marine cold air outbreaks (MCAOs) are extreme weather events that occur when a cold air mass advects over open water, with strong winds supporting intense surface sensible and latent heat fluxes capable of reaching 1000 <inline-formula><mml:math id="M8" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">W</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> over open water near the Arctic sea ice <xref ref-type="bibr" rid="bib1.bibx76 bib1.bibx75" id="paren.1"/>. Mid- to high-latitude MCAOs often contain mixed-phase clouds <xref ref-type="bibr" rid="bib1.bibx1 bib1.bibx33 bib1.bibx68 bib1.bibx117 bib1.bibx18" id="paren.2"/>, initially organized as convective rolls or “cloud streets”   <xref ref-type="bibr" rid="bib1.bibx14 bib1.bibx128" id="paren.3"/>. As surface turbulent fluxes and wind shear weaken and the MCAO ages, the convective rolls can evolve into closed-cell stratocumulus, transitioning into open-cells with further fetch <xref ref-type="bibr" rid="bib1.bibx62" id="paren.4"/>. These transitions impact the cloud cover, which in turn impacts the radiative budget <xref ref-type="bibr" rid="bib1.bibx69" id="paren.5"><named-content content-type="pre">e.g.,</named-content></xref> that the high-latitude climate is sensitive to. MCAOs can also spawn polar lows: small, intense and unpredictable cyclones <xref ref-type="bibr" rid="bib1.bibx70" id="paren.6"/> that are consequential for coastal communities and shipping. The MCAO lifecycle is thus impactful to both high-latitude weather and climate.</p>
      <p id="d2e632">MCAO cloud transitions are to first order dictated by environmental variability in surface fluxes and free tropospheric (FT) conditions, summarized by the marine cold air outbreak index <xref ref-type="bibr" rid="bib1.bibx31" id="paren.7"/>. For example, mid-latitude air mass trajectories located under lower FT temperatures and weaker subsidence will transition sooner to open-cells <xref ref-type="bibr" rid="bib1.bibx109" id="paren.8"/>. Numerical weather prediction models and reanalyses can depict the synoptic patterns that generate MCAOs. The models and reanalyses nevertheless struggle to represent the dynamic, thermodynamic, and microphysical processes and aerosol-cloud interactions that inform the transition on the sub-kilometer scale <xref ref-type="bibr" rid="bib1.bibx29 bib1.bibx42 bib1.bibx43" id="paren.9"/>.</p>
      <p id="d2e644">In warm stratocumulus, precipitation is a necessary condition for cloud transitions and provides a useful metric that can be compared between models and observations <xref ref-type="bibr" rid="bib1.bibx119" id="paren.10"/>. The precipitation helps drive density-driven gust fronts that help initiate new updrafts by developing surface cold pools through evaporation <xref ref-type="bibr" rid="bib1.bibx131" id="paren.11"/>. In the trade-wind regions, a rain rate threshold of 2 <inline-formula><mml:math id="M9" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">h</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, averaged over the rain's catchment area, corresponds well to downdrafts of air with equivalent potential temperatures (<inline-formula><mml:math id="M10" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) lower than their surroundings <xref ref-type="bibr" rid="bib1.bibx4" id="paren.12"/>. These support moderate updraft velocities (<inline-formula><mml:math id="M11" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M12" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) that can initiate new convection <xref ref-type="bibr" rid="bib1.bibx130" id="paren.13"/>. Whether such relationships also hold for Arctic MCAOs is, to our knowledge, not known, as cold pool behavior has not been extensively assessed in suppressed environments with strong surface turbulent fluxes. <xref ref-type="bibr" rid="bib1.bibx34" id="text.14"/>, in a modeling study intended for the lower-latitudes, find strong, interactive surface fluxes induce smaller but more numerous cold pools with weaker gust front velocities, compared to simulations with horizontally-homogenized surface fluxes. One recent Arctic-related study finds most of the variance in flight-level turbulent fluxes occurs at scales <inline-formula><mml:math id="M13" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> km for a separate MCAO case <xref ref-type="bibr" rid="bib1.bibx64" id="paren.15"/>. The modeling of sub-cloud distributions of vertical velocity, moisture and temperature in marine environments is still challenging, however, even in warmer, better-documented environments <xref ref-type="bibr" rid="bib1.bibx129 bib1.bibx17 bib1.bibx88" id="paren.16"/>.</p>
      <p id="d2e735">Precipitation is also altered by aerosols. Higher cloud condensation nuclei concentrations (<inline-formula><mml:math id="M14" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) can reduce droplet size, delaying the transition to lower cloud cover <xref ref-type="bibr" rid="bib1.bibx68" id="paren.17"/>. Smaller drop sizes delay precipitation formation, well-accepted by now for liquid-only transitions <xref ref-type="bibr" rid="bib1.bibx119 bib1.bibx126 bib1.bibx98 bib1.bibx93" id="paren.18"/>. Smaller drops evaporating closer to the cloud base help destabilize the sub-cloud layer, better coupling the cloud to the surface turbulent fluxes <xref ref-type="bibr" rid="bib1.bibx27 bib1.bibx94" id="paren.19"/>. In mixed-phase clouds, smaller drops also rime less efficiently <xref ref-type="bibr" rid="bib1.bibx47 bib1.bibx114" id="paren.20"/>, which also helps maintain the cloud. More of the ice particle growth, especially at ice-saturated temperatures near <inline-formula><mml:math id="M15" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula> °C, is likely to occur through the Wegener-Bergeron-Findeisen (WBF) process <xref ref-type="bibr" rid="bib1.bibx116 bib1.bibx8 bib1.bibx30" id="paren.21"/>, wherein smaller drops evaporate readily, and the vapor is deposited on neighboring ice particles. Ice growth through vapor deposition can also occur in water-saturated updrafts, capable of producing new cloud droplets <xref ref-type="bibr" rid="bib1.bibx85" id="paren.22"/>. Where larger drops support riming, the larger rimed ice particles fall faster than the pristine dendrites and can more easily deplete the cloud liquid <xref ref-type="bibr" rid="bib1.bibx107" id="paren.23"/>. Variations in ice-nucleating particle concentrations (<inline-formula><mml:math id="M16" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">INP</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) furthermore compete with <inline-formula><mml:math id="M17" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>: some modeling suggests higher <inline-formula><mml:math id="M18" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">INP</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> facilitate earlier cloud deck breakups <xref ref-type="bibr" rid="bib1.bibx123" id="paren.24"/>, but observations over northern Alaska indicate that if higher <inline-formula><mml:math id="M19" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">INP</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> are accompanied by elevated <inline-formula><mml:math id="M20" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, the ice mass production is reduced <xref ref-type="bibr" rid="bib1.bibx53 bib1.bibx72" id="paren.25"/>. Observational analysis within sub-Arctic MCAOs suggests <inline-formula><mml:math id="M21" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">INP</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> may increase as more open water becomes available, although the INP source remains unclear <xref ref-type="bibr" rid="bib1.bibx23" id="paren.26"/>. The ice particle number concentrations (<inline-formula><mml:math id="M22" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) can also increase through secondary ice production (SIP) processes over time, most convincingly at cloud temperatures <inline-formula><mml:math id="M23" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> °C <xref ref-type="bibr" rid="bib1.bibx1 bib1.bibx18 bib1.bibx95 bib1.bibx9 bib1.bibx78" id="paren.27"/>. <xref ref-type="bibr" rid="bib1.bibx105" id="text.28"/>, in a modeling study, found that moderate updrafts (2–3 <inline-formula><mml:math id="M24" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) are best able to support SIP, as weaker updrafts primarily deplete liquid through precipitation, and stronger updrafts do not allow sufficient hydrometeor growth.</p>
      <p id="d2e905">High-quality in situ observations of Arctic mixed-phase cloud transitions are slowly becoming more available and analyzed thanks to recent field campaigns. During an aircraft sampling of a MCAO over the Norwegian Sea, <xref ref-type="bibr" rid="bib1.bibx1" id="text.29"/> observed a sharp decrease in total aerosol number concentration (<inline-formula><mml:math id="M25" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) from approximately 100 <inline-formula><mml:math id="M26" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> to 25 <inline-formula><mml:math id="M27" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> across a closed-to-open cell transition, due to precipitation scavenging. <xref ref-type="bibr" rid="bib1.bibx1" id="text.30"/> concluded that the depletion in <inline-formula><mml:math id="M28" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> leading up to the transition acted to increase drop sizes, supporting SIP at temperatures between <inline-formula><mml:math id="M29" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M30" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula> °C (attributed to Hallett-Mossop rime splintering). The increased observed <inline-formula><mml:math id="M31" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> correlated with more precipitation and was followed by the transition <xref ref-type="bibr" rid="bib1.bibx60 bib1.bibx10" id="paren.31"/>. Follow-up modeling suggests that ice-on-ice collisional breakup and freezing-induced-drop fragmentation were additionally necessary to reproduce the observed <inline-formula><mml:math id="M32" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> <xref ref-type="bibr" rid="bib1.bibx44" id="paren.32"/>. This is also consistent with <xref ref-type="bibr" rid="bib1.bibx95" id="text.33"/> and <xref ref-type="bibr" rid="bib1.bibx103" id="text.34"/>. Several other field campaigns have examined aspects of Northern Hemisphere/Arctic MCAO clouds <xref ref-type="bibr" rid="bib1.bibx89 bib1.bibx117 bib1.bibx48 bib1.bibx96" id="paren.35"/>, but those collecting in situ microphysical aircraft data have only occurred in cloud temperatures <inline-formula><mml:math id="M33" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> °C to date, to our knowledge <xref ref-type="bibr" rid="bib1.bibx1 bib1.bibx18 bib1.bibx9 bib1.bibx78" id="paren.36"/>. This is the temperature regime at which Hallett-Mossop rime-splintering is active, often the only SIP process represented in models. Observations in colder temperatures that preclude this SIP process remain rare.</p>
      <p id="d2e1038">During the Cold-Air outbreak Experiment in the Sub-Arctic Region <xref ref-type="bibr" rid="bib1.bibx132" id="paren.37"><named-content content-type="pre">CAESAR;</named-content></xref> campaign, an unusual observation was made of a closed-to-open cell cloud transition occurring over the Nordic Seas, far away from land influences, with cloud temperatures <inline-formula><mml:math id="M34" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula> °C, under high aerosol loading conditions. The measured aerosol concentrations surpassed those from other recent campaigns <xref ref-type="bibr" rid="bib1.bibx89 bib1.bibx118" id="paren.38"/>. Given a Siberian source region, high winter and spring aerosol loadings may be more common than is often presumed <xref ref-type="bibr" rid="bib1.bibx11" id="paren.39"/>. The polar front's more southerly location during winter allows anthropogenic emissions to advect into the central Arctic, creating what is known as Arctic haze <xref ref-type="bibr" rid="bib1.bibx55 bib1.bibx12" id="paren.40"/>.  Aerosols in the Arctic can have long lifetimes and remain close to the surface due to the low moisture and high static stability <xref ref-type="bibr" rid="bib1.bibx89" id="paren.41"/>. As the northern high-latitudes become more trafficked by ships within an increasingly ice-free Arctic <xref ref-type="bibr" rid="bib1.bibx91" id="paren.42"/>, elevated aerosol concentrations from shipping emissions, and the resulting aerosol-cloud interactions <xref ref-type="bibr" rid="bib1.bibx38" id="paren.43"><named-content content-type="pre">e.g.,</named-content></xref>, should also become more common.</p>
      <p id="d2e1079">We use the instrumentation aboard the NSF NCAR C-130 during CAESAR to provide insights into the characteristics of this MCAO transition occurring on 29 February 2024 during Research Flight 2 (RF02). New observations include that of the sub-cloud thermodynamic vertical structure using a Raman lidar, and of liquid water paths (LWPs) made at a dynamically-relevant 500 m spatial scale. Aerosol measurements made upwind of the flight at Villum Research Station in northeast Greenland confirm the high aerosol loading, and further help constrain the aerosol lifecycle. Ice microphysical observations provide insight into the processes influencing the cloud morphological changes.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Data and methods</title>
      <p id="d2e1090">The RF02 flight track consisted of three surface legs (SL) flown at 300 m above sea level with spiral ascents/descents reaching 1750–2200 m in altitude bounding each SL (Fig. <xref ref-type="fig" rid="F1"/>; the final ascent away from SL3 was in-line). Table S1 in the Supplement shows the sampling time as a function of altitude for each vertical profile. Each SL is approximately aligned with the southwest cold air advection, with SL1 and SL3 following approximately the same flow line. This allows SL1 and SL3 to be treated as a single interrupted SL, which we call SL13. SL2 lies beneath a different free tropospheric airmass than SL13, and is not the main focus of this analysis. Fetch distance along SL13 is defined as the distance downstream from the beginning of SL1. Distances are calculated following the flight path along SL1, across the gap between SL1 and SL3, and continuing along SL3. Table S2 provides a lookup table showing the time at various fetch distances. The instrumentation is summarized in Table A1, with a brief description provided below.</p>

      <fig id="F1" specific-use="star"><label>Figure 1</label><caption><p id="d2e1097">Infrared satellite imagery from the Advanced Very High Resolution Radiometer (AVHRR) at <bold>(a)</bold> 13:19 UTC, <bold>(b)</bold> 15:42 UTC, and <bold>(c)</bold> 16:40 UTC of the area of interest for RF02. In <bold>(b)</bold>, the flight track (solid orange) and the connection of SL1 and SL3 (dashed orange) are labeled for each flight segment, and observed wind barbs (knots) are plotted at 5 min intervals when the plane is below 500 m altitude. Location and orientation of aircraft at time of satellite imagery is shown by the green airplane icon. Vertical profiles (red) are analyzed in Figs. <xref ref-type="fig" rid="F8"/>, <xref ref-type="fig" rid="F9"/>, <xref ref-type="fig" rid="F10"/>, <xref ref-type="fig" rid="F11"/>, and <xref ref-type="fig" rid="F12"/>. Aerosol sampling segments in the BL (300 m; blue) and FT (1750 m; gray) are analyzed in Fig. <xref ref-type="fig" rid="F7"/>. BL aerosol segments are also analyzed in Fig. <xref ref-type="fig" rid="FC1"/>.</p></caption>
        <graphic xlink:href="https://acp.copernicus.org/articles/26/15375/2026/acp-26-15375-2026-f01.jpg"/>

      </fig>

<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>In situ cloud</title>
      <p id="d2e1140">Only aircraft profiles depict the thermodynamic and microphysical vertical structure as no dropsondes were deployed along SL13. The Vertical Cavity Surface-Emitting Laser (VCSEL) hygrometer determines water vapor mixing ratios (WVMR), averaged to 1 Hz. A Cloud Droplet Probe (CDP, 2–50 <inline-formula><mml:math id="M35" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> diameter range) quantifies the liquid water content (LWC), cloud droplet concentration (<inline-formula><mml:math id="M36" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>), and (liquid) drop size distribution <xref ref-type="bibr" rid="bib1.bibx52" id="paren.44"/>. During profiles, the cloud-top height is determined by identifying the highest altitude with LWC <inline-formula><mml:math id="M37" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M38" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. The inversion level is defined as the altitude with the minimum temperature. Information on ice phase, ice water content (IWC) and <inline-formula><mml:math id="M39" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, is derived from two probes: the Fast 2-Dimensional Stereo Probe horizontal channel (F2DS, 10–1280 <inline-formula><mml:math id="M40" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> size range) and the High Volume Precipitation Spectrometer version 3 (HVPS-3, 150 <inline-formula><mml:math id="M41" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>–19.2 mm size range) <xref ref-type="bibr" rid="bib1.bibx56 bib1.bibx28" id="paren.45"/>. The F2DS and HVPS-3 size distributions are merged using a discriminating size threshold at 1000 <inline-formula><mml:math id="M42" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>. Particle phase is determined using a sphericity threshold of 0.7 <xref ref-type="bibr" rid="bib1.bibx49" id="paren.46"/> for particle sizes <inline-formula><mml:math id="M43" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">100</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M44" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>. IWCs rely on the <xref ref-type="bibr" rid="bib1.bibx13" id="text.47"/> mass-size parameterization. The Holographic Detector for Clouds v.2 (HOLODEC-II) provides additional information on particle habit <xref ref-type="bibr" rid="bib1.bibx104" id="paren.48"/>. Given the HOLODEC-II's smaller sampling volume compared to the F2DS (0.015 versus 4.9 L at an aircraft speed of 100 <inline-formula><mml:math id="M45" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>), any lack of drizzle drops within HOLODEC-II imagery is also checked against F2DS imagery at 10 <inline-formula><mml:math id="M46" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> pixel resolution. Particle Habit Imaging and Polar Scattering (PHIPS) data were not available for this flight.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>Aerosol/gases</title>
      <p id="d2e1305">Refractory Black Carbon (rBC) mass concentrations, measured by a Single Particle Soot Photometer, (SP2, 70–900 nm scattering size range) indicate the presence of anthropogenic pollution <xref ref-type="bibr" rid="bib1.bibx16" id="paren.49"/>. A merged aerosol number size distribution spanning 10 nm to 3 <inline-formula><mml:math id="M47" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> utilizes a Mobility Particle Size Spectrometer (MPSS, 0.01–0.175 <inline-formula><mml:math id="M48" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>), an Ultra-High Sensitivity Aerosol Spectrometer (UHSAS, 0.06–1 <inline-formula><mml:math id="M49" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>) and a Passive Cavity Aerosol Spectrometer Probe (PCASP, 0.1–3 <inline-formula><mml:math id="M50" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>), described in <xref ref-type="bibr" rid="bib1.bibx16" id="text.50"/>. The size distribution is detailed for segments along SL13 and in the FT (shaded blue and gray respectively in Fig. <xref ref-type="fig" rid="F1"/>) and provides the total aerosol number concentration (<inline-formula><mml:math id="M51" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>). The Wyoming CCN Counter (W-CCN) provides <inline-formula><mml:math id="M52" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> at a supersaturation of 0.4 % at 30 s resolution <xref ref-type="bibr" rid="bib1.bibx101" id="paren.51"/>. <inline-formula><mml:math id="M53" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is only reported when LWC <inline-formula><mml:math id="M54" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M55" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> and IWC <inline-formula><mml:math id="M56" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M57" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. Both <inline-formula><mml:math id="M58" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M59" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> are scaled to standard temperature and pressure (STP; 298.15 K, 1013.25 hPa) as in <xref ref-type="bibr" rid="bib1.bibx16" id="text.52"/>. All aerosol and CCN data were collected in situ, by instrumentation inside the aircraft cabin and the wing-mounted PCASP cloud probe. <inline-formula><mml:math id="M60" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">INP</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is measured using both offline filter-based measurements processed on the Colorado State University (CSU) Ice Nucleation Spectrometer <xref ref-type="bibr" rid="bib1.bibx41 bib1.bibx5" id="paren.53"><named-content content-type="pre">INS;</named-content></xref> and online with the CSU Continuous Flow Diffusion Chamber <xref ref-type="bibr" rid="bib1.bibx65 bib1.bibx77" id="paren.54"><named-content content-type="pre">CFDC;</named-content></xref>, both scaled to STP. INS measurements are averaged over longer sample times, but provide temperature spectra, whereas CFDC measurements provide higher time resolution at a single processing temperature, in this case from <inline-formula><mml:math id="M61" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">28</mml:mn></mml:mrow></mml:math></inline-formula> to <inline-formula><mml:math id="M62" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">26</mml:mn></mml:mrow></mml:math></inline-formula> °C. INS data from the offline filter samples collected over the course of the three surface legs (Fig. <xref ref-type="fig" rid="F2"/>) are used to estimate <inline-formula><mml:math id="M63" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">INP</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> at the approximate cloud-top temperature of <inline-formula><mml:math id="M64" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> °C (<inline-formula><mml:math id="M65" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mrow><mml:mi mathvariant="normal">INP</mml:mi><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula>). A log-linear fit spans <inline-formula><mml:math id="M66" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">29</mml:mn></mml:mrow></mml:math></inline-formula> to <inline-formula><mml:math id="M67" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> °C, weighted by the uncertainty in measured points and constrained to pass through the data point at <inline-formula><mml:math id="M68" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> °C. This fit multiplicatively corrects colder-temperature CFDC data to warmer temperatures. Error estimates on the corrected data apply lower and upper fit estimates to produce conservative CFDC 90 % confidence intervals. Ozone (<inline-formula><mml:math id="M69" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) and carbon monoxide (CO) concentrations measured by a Picarro gas analyzer help characterize entrainment (Appendix B).</p>

      <fig id="F2"><label>Figure 2</label><caption><p id="d2e1597"><inline-formula><mml:math id="M70" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">INP</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> spectra measured by the INS during surface legs (black) and above cloud legs (red) with 90 % error bounds. The 95 % confidence interval of a log-linear fit of INS <inline-formula><mml:math id="M71" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">INP</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> with respect to temperature during surface legs (magenta) corrects CFDC <inline-formula><mml:math id="M72" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">INP</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> to the approximate cloud-top temperature of <inline-formula><mml:math id="M73" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> °C.</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/26/15375/2026/acp-26-15375-2026-f02.png"/>

        </fig>


</sec>
<sec id="Ch1.S2.SS3">
  <label>2.3</label><title>Remote sensing</title>
      <p id="d2e1658">Surface legs allow the remote sensors to examine the cloud and sub-cloud structure. The 95 GHz Wyoming Cloud Radar (WCR) visualizes the cloud structure and its dynamics with radar reflectivities and Doppler velocities <xref ref-type="bibr" rid="bib1.bibx115" id="paren.55"/>. Ice water path (IWP) is determined using a radar-estimated IWC <inline-formula><mml:math id="M74" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.10</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mi>Z</mml:mi><mml:mn mathvariant="normal">0.51</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> following <xref ref-type="bibr" rid="bib1.bibx32" id="text.56"/>, with attenuation not accounted for <xref ref-type="bibr" rid="bib1.bibx87" id="paren.57"/>. A cloud top is identified when a radar echo of at least 75 m thick occurs below a non-echo (clear sky) region of at least 225 m thick. Cloud base height is determined through the gradient of the upward-viewing Wyoming Cloud Lidar (WCL) attenuated scattering ratio <xref ref-type="bibr" rid="bib1.bibx115" id="paren.58"/>, at 1.5 m vertical resolution. The attenuated scattering ratio is the total attenuated backscatter divided by modeled attenuated molecular backscatter. The first attenuated scattering ratio gradient exceeding an empirically-derived threshold becomes the WCL-estimated cloud base. LWPs are retrieved using upward-pointing G-band Vapor Radiometer (GVR) brightness temperatures combined with WCR reflectivities <xref ref-type="bibr" rid="bib1.bibx25" id="paren.59"/>.</p>
      <p id="d2e1694">The downward-pointing Multi-function Airborne Raman Lidar (MARLi), in its first C-130 deployment, retrieves vertical profiles of WVMR and temperature at 0.6 Hz temporal resolution (<inline-formula><mml:math id="M75" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">150</mml:mn></mml:mrow></mml:math></inline-formula> m at a 100 <inline-formula><mml:math id="M76" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> aircraft speed) with a vertical resolution of 6 m <xref ref-type="bibr" rid="bib1.bibx58 bib1.bibx122" id="paren.60"/>. Retrievals are excluded within 100 m of the aircraft due to an uncertain near-range overlap correction. The hydrostatic relation in combination with in situ flight-level pressure further provides below-aircraft vertical profiles of pressure. Virtual and equivalent potential temperature (<inline-formula><mml:math id="M77" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">v</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M78" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) profiles, based on the WVMR, temperature, and pressure profiles, identify cold pools and entrainment events. MARLi-derived <inline-formula><mml:math id="M79" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">v</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M80" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> are shifted by a small constant offset (<inline-formula><mml:math id="M81" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">2.1</mml:mn></mml:mrow></mml:math></inline-formula> K for SL1; <inline-formula><mml:math id="M82" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">1.0</mml:mn></mml:mrow></mml:math></inline-formula> K for SL3) to bring consistency across the 100 m gap between flight level and the highest valid MARLi level. Cold pools are defined by local <inline-formula><mml:math id="M83" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">v</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> minima, at 60 m altitude, of at least 0.5 K lower than adjacent values, with the maximum difference (<inline-formula><mml:math id="M84" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">v</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) defining the intensity and cold pool width (the distance over which <inline-formula><mml:math id="M85" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">v</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is <inline-formula><mml:math id="M86" display="inline"><mml:mrow><mml:mo>≤</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:math></inline-formula> K). Potential entrainment events are defined by a 60 m altitude WVMR at least 0.25 <inline-formula><mml:math id="M87" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> drier than the leg-specific linearly-detrended WVMR (<inline-formula><mml:math id="M88" display="inline"><mml:mi mathvariant="normal">Δ</mml:mi></mml:math></inline-formula>WVMR), used to define intensity, and collocated with a similarly-defined positive 60 m altitude <inline-formula><mml:math id="M89" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">v</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> anomaly.</p>
</sec>
<sec id="Ch1.S2.SS4">
  <label>2.4</label><title>Models, reanalyses and satellite data</title>
      <p id="d2e1885">The ECMWF Reanalysis V5 <xref ref-type="bibr" rid="bib1.bibx40" id="paren.61"><named-content content-type="pre">ERA5;</named-content></xref> reconstructs the large-scale mean sea level pressure (MSLP) field, and determines the sea ice edge and MCAO conditions, at 0.25° resolution. More intense MCAO conditions are more unstable, determined through the M-index: <inline-formula><mml:math id="M90" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">skinSST</mml:mi></mml:msub><mml:mo>-</mml:mo><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mrow><mml:mn mathvariant="normal">850</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">hPa</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula>  <xref ref-type="bibr" rid="bib1.bibx76" id="paren.62"/>. The M-index is not calculated where ERA5 sea ice concentrations exceed 15 %, defined as the sea ice edge. Archived initializations of AROME-Arctic, a convection-allowing 2.5 km spatial resolution model developed by the Norwegian Meteorological Institute, serve as a high-resolution reanalysis <xref ref-type="bibr" rid="bib1.bibx67" id="paren.63"/>. Thermal infrared imagery from the NOAA-20 VIIRS, MetOp-B AVHRR, and NOAA-19 AVHRR visualizes the cloud field. The surface wind field near the end of SL3 is retrieved by the Synthetic Aperture Radar (SAR) aboard RadarSat Constellation Mission-1 (RCM-1).</p>
</sec>
<sec id="Ch1.S2.SS5">
  <label>2.5</label><title>Back-trajectories and Villum Research Station</title>
      <p id="d2e1929">Footprint emission sensitivities calculated by the FLEXable PARTicle dispersion model (FLEXPART), a Lagrangian transport and dispersion model <xref ref-type="bibr" rid="bib1.bibx86" id="paren.64"/>, indicate that air sampled during SL13 passed near the Villum Research Station at Station Nord (81°36<sup>′</sup> N, 16°40<sup>′</sup> W), located in northeast Greenland. Back-trajectories calculated using the HYbrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model, initialized using ERA5, further confirm this. Data from Villum Research Station thus establishes aerosol conditions upwind of SL13. At Villum, a Scanning Mobility Particle Sizer (SMPS, 9 nm to 0.915 <inline-formula><mml:math id="M93" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> size range) provides the aerosol number size distribution, and a Droplet Measurement Technologies CCN counter (DMT-CCN) provides <inline-formula><mml:math id="M94" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> at discrete supersaturations between 0.1 % and 0.7 %.  Both <inline-formula><mml:math id="M95" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M96" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> are scaled to STP (298.15 K, 1013.25 hPa) as in <xref ref-type="bibr" rid="bib1.bibx16" id="text.65"/>. A Picarro Cavity Ringdown Spectrometer provides methane (<inline-formula><mml:math id="M97" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CH</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) and CO concentrations.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Synoptic overview</title>
      <p id="d2e2021">On 26 February 2024, a sharp shortwave trough is situated southeast of Greenland, with a large area of diffluent flow over Iceland and the surrounding waters (not shown). A remnant surface low situated just west of Iceland rapidly strengthens underneath the large-scale divergence aloft, further enhanced by upward motion in the left exit region of the jet streak (not shown). Both the trough and surface low propagate towards the east-northeast. By 12:00 UTC on 27 February 2024, the trough becomes cutoff and vertically stacked with the surface low around 200 km northeast of Iceland, limiting upper level support.  Research flight RF01 on 28 February and RF02 on 29 February sampled different portions of this surface low's MCAO sector.</p>

      <fig id="F3" specific-use="star"><label>Figure 3</label><caption><p id="d2e2026">Infrared satellite imagery overlaid with ERA5 MSLP contours every 4 hPa (980 hPa bolded), surface fronts, M-index <inline-formula><mml:math id="M98" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula> K (blue hatches), and the ERA5 sea ice edge (magenta line) at 28 February 2024 <bold>(a)</bold> 03:33 UTC, <bold>(b)</bold> 16:02 UTC, with the RF01 flight track indicated; 29 February 2024 <bold>(c)</bold> 03:16 UTC, and <bold>(d)</bold> 14:59 UTC with the RF02 flight track indicated.</p></caption>
        <graphic xlink:href="https://acp.copernicus.org/articles/26/15375/2026/acp-26-15375-2026-f03.jpg"/>

      </fig>

      <p id="d2e2057">By 03:00 UTC on 28 February, the low has moved northward (Fig. <xref ref-type="fig" rid="F3"/>a). Despite lacking upper-level support, the low is still situated along a strong baroclinic zone, maintaining a maximum strength of approximately 960 hPa. A warm frontal zone stretches across Svalbard and cloud cover from a warm air intrusion spans from northern Scandinavia towards Svalbard. MCAO conditions are limited to the area between the island of Jan Mayen (70°59<sup>′</sup> N, 8°32<sup>′</sup> W) and Iceland behind a cold front with cold air advection off the sea ice supporting cloud streets.</p>
      <p id="d2e2081">By 16:00 UTC on 28 February, the low has moved to the north while maintaining its minimum central pressure (Fig. <xref ref-type="fig" rid="F3"/>b). Strong low-level cold air advection off of the Greenland marginal ice zone creates a broad region of MCAO conditions. The cold front bounding this air mass contains a line of convection just off the Norwegian coast stretching towards Svalbard. RF01 sampled the post-frontal MCAO clouds, but this air mass moved north of the region sampled 1 d later during RF02.</p>
      <p id="d2e2086">By 03:00 UTC on 29 February, the center of the low is encircled by the MCAO, completing the occlusion process and causing the low to rapidly weaken (Fig. <xref ref-type="fig" rid="F3"/>c). MCAO conditions stretch nearly all the way from the sea ice edge off eastern Greenland to the Norwegian coast, with a closed-to-open cell cloud transition occurring at around 5° E. The strong pressure gradient between the surface low and Greenland constrains the air flowing south past Villum to remain over the marginal ice zone. A new synoptic low (centered near 62° N, 10° W) further south encroaches, with warm air advection bounding the southern edge of the MCAO region. Twelve hours later, by 15:00 UTC, the occluded surface low driving the MCAO has weakened by 16 hPa (Fig. <xref ref-type="fig" rid="F3"/>d). Warm air advection from the southern synoptic low reduces the southern extent of the MCAO and supports a cloud shield, also sampled by the remote sensors during the ferry legs of RF02 at 6 km altitude <xref ref-type="bibr" rid="bib1.bibx132" id="paren.66"/>. The lower-level RF02 sampling took place within the MCAO persisting to the north of the encroaching warm air intrusion (orange track in Fig. <xref ref-type="fig" rid="F3"/>d).</p>

      <fig id="F4" specific-use="star"><label>Figure 4</label><caption><p id="d2e2100">AROME-Arctic 15:00 UTC model run analysis field (0 h forecast). <bold>(a)</bold> 700 hPa RH (shaded), geopotential height (dashed contours every 4 dm; 264 dm bolded), SL1 and SL3 flight tracks (solid orange, connected using a dashed orange line). Back-trajectories terminating at 2500 m along SL13 (red) and SL2 (blue), with black dots every 3 h. In situ RH for two legs flown at altitudes of 1700–2100 m, within black outlines. <bold>(b)</bold> 700 hPa temperature (shaded) with same geopotential height contours and back-trajectories as in <bold>(a)</bold> and SL1, SL2, SL3 legs labeled.  <bold>(c)</bold> Cross-section along SL13 of air temperature (shaded) with <inline-formula><mml:math id="M101" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M102" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula>, and <inline-formula><mml:math id="M103" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">25</mml:mn></mml:mrow></mml:math></inline-formula> °C above-inversion temperatures indicated (thick dashed contours). Potential temperature also indicated (thin solid contours every 1 K), and RH <inline-formula><mml:math id="M104" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">90</mml:mn></mml:mrow></mml:math></inline-formula> % (hatched). In situ air temperature and potential temperature indicated inside black outlines (including spiral profiles).</p></caption>
        <graphic xlink:href="https://acp.copernicus.org/articles/26/15375/2026/acp-26-15375-2026-f04.jpg"/>

      </fig>

      <p id="d2e2162">Despite the close proximity of SL13 to SL2, AROME-Arctic depicts different capping free tropospheric conditions (Fig. <xref ref-type="fig" rid="F4"/>a, b). The 700 hPa air above most of SL13 at 15:00 UTC is moist, with relative humidities (RH) <inline-formula><mml:math id="M105" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">90</mml:mn></mml:mrow></mml:math></inline-formula> %, compared to RH <inline-formula><mml:math id="M106" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> % over SL2 (Fig. <xref ref-type="fig" rid="F4"/>a). In situ FT measurements made during the cross legs from SL1 to SL2 and SL2 to SL3 confirm the sharp horizontal RH gradients in AROME-Arctic (Fig. <xref ref-type="fig" rid="F4"/>a). During the cross leg from SL2 to SL3 flown at 2050 m, just 27 km south of the spiral descent to SL3, WVMR increases from 0.05 to 1.25 <inline-formula><mml:math id="M107" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> over 9 km. The 700 hPa temperature at 09:00 UTC was also warmer above SL13 (<inline-formula><mml:math id="M108" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">18</mml:mn></mml:mrow></mml:math></inline-formula> °C versus <inline-formula><mml:math id="M109" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> °C above SL2; not shown), prior to becoming modified by warm air advection (Fig. <xref ref-type="fig" rid="F4"/>b). This is because more of the FT air above SL13 originates from the mid-latitudes (red back-trajectories in Fig. <xref ref-type="fig" rid="F4"/>a, b) before wrapping around the occluded low. In contrast, SL2 resides below a modified cold, dry FT air mass originating from Greenland (blue back-trajectories in Fig. <xref ref-type="fig" rid="F4"/>a, b). The air mass boundary is also apparent in in situ FT gas concentrations measured during both cross legs, with <inline-formula><mml:math id="M110" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> decreasing from 134 to 51 ppbv and CO increasing from 81 to 115 ppbv between SL2 to SL3 (not shown). The two airmasses do become linked closer to Svalbard, where the cold airmass above SL2 forms a lobe of cold air located southwest of Svalbard (Fig. <xref ref-type="fig" rid="F4"/>b). This creates a horizontal FT temperature gradient at the end of SL13 that ultimately weakens the cloud-top inversion (Fig. <xref ref-type="fig" rid="F4"/>c).</p>
      <p id="d2e2256">A vertical AROME-Arctic cross section along SL13 (Fig. <xref ref-type="fig" rid="F4"/>c) depicts the gradual deepening of the boundary layer (BL), driven by modeled buoyancy fluxes averaging 260 <inline-formula><mml:math id="M111" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">W</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> during SL1 (sensible/latent heat fluxes of 260/140 <inline-formula><mml:math id="M112" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">W</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>), decreasing to 200 <inline-formula><mml:math id="M113" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">W</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> during SL3 (sensible/latent heat fluxes of 190/140 <inline-formula><mml:math id="M114" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">W</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) (not shown). The 700 hPa temperatures decrease by approximately 3 K along SL13, evident in the downward slope of isotherms. The cooling reduces the inversion strength, evident in the increased spacing of isentropes (thin solid lines) with fetch. The FT RH increases with fetch (dotted regions in Fig. <xref ref-type="fig" rid="F4"/>c), consistent with observed mid-level clouds (Fig. <xref ref-type="fig" rid="F1"/>). In situ profiles (discussed in Sect. 5) confirm the gradient in the AROME-Arctic FT thermodynamic values, although the inversion is both <inline-formula><mml:math id="M115" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">400</mml:mn></mml:mrow></mml:math></inline-formula> m lower and less sharp in AROME-Arctic compared to our observations (Fig. <xref ref-type="fig" rid="F4"/>c).</p>

      <fig id="F5"><label>Figure 5</label><caption><p id="d2e2349">Black carbon FLEXPART footprint emission sensitivities for receptor points at flight level along SL1 and SL3 (yellow shading). HYSPLIT back-trajectories with receptor points at 500 m are overlaid (gray lines) on the RF02 flight path (turquoise line).</p></caption>
        <graphic xlink:href="https://acp.copernicus.org/articles/26/15375/2026/acp-26-15375-2026-f05.png"/>

      </fig>

</sec>
<sec id="Ch1.S4">
  <label>4</label><title>The relationship of CAESAR aerosol measurements to those upwind at Villum</title>
      <p id="d2e2366">CCN concentrations during SL1 were the highest observed during CAESAR, occasionally surpassing 800 <inline-formula><mml:math id="M116" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. HYSPLIT back-trajectories and a FLEXPART footprint analysis of BC, initialized within the SL13 boundary layer (Fig. <xref ref-type="fig" rid="F5"/>), indicate the airmass likely originated from near Norilsk, Russia. Norilsk hosts the world's largest producer of Nickel and also smelts other metals, making Norilsk one of the world's largest <inline-formula><mml:math id="M117" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">SO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> emission hotspots <xref ref-type="bibr" rid="bib1.bibx6 bib1.bibx71" id="paren.67"/> and Russia's most polluted city <xref ref-type="bibr" rid="bib1.bibx61" id="paren.68"/>. GEOS-CF simulations (Fig. S1 in the Supplement) further corroborate the back-trajectories, by indicating a buildup of <inline-formula><mml:math id="M118" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">SO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> originating from Russia over the central Arctic 2 d before RF02. In the day prior to RF02, a filament advects along the east coast of Greenland before deflecting around the occluded low and into RF02's flight domain.</p>
      <p id="d2e2414">Back-trajectories initialized along SL1 and SL3 pass within 60 km of Villum Research Station on 01:00–02:00 UTC, 29 February, approximately 13 h prior, and 01:00–22:00 UTC, 28 February, approximately 17–31 h prior, respectively (Fig. <xref ref-type="fig" rid="F6"/>). The longer travel times for the SL3 back-trajectories reflect the weaker winds near the center of the low, compared to the winds encountered by the SL1 air mass.</p>

      <fig id="F6" specific-use="star"><label>Figure 6</label><caption><p id="d2e2421">Observations taken from the Villum Research Station at Station Nord, Greenland consisting of: <bold>(a)</bold> Aerosol and CCN concentrations. <bold>(b)</bold> <inline-formula><mml:math id="M119" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CH</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and CO volume mixing ratios. Back-trajectories from SL1 pass Villum from 01:00–02:00 UTC, 29 February (lilac shading) and from SL3 on 01:00–22:00 UTC, 28 February (light blue shading), respectively.</p></caption>
        <graphic xlink:href="https://acp.copernicus.org/articles/26/15375/2026/acp-26-15375-2026-f06.png"/>

      </fig>

      <p id="d2e2448"><inline-formula><mml:math id="M120" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M121" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CH</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, and CO first increase at Villum on 27 February, and continue to increase to 326 <inline-formula><mml:math id="M122" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, 2054 ppbv, and 142 ppbv respectively until 00:00 UTC, 29 February, before decreasing again (Fig. <xref ref-type="fig" rid="F6"/>). The correlation coefficients between <inline-formula><mml:math id="M123" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M124" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CH</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub><mml:mo>/</mml:mo><mml:mi mathvariant="normal">CO</mml:mi></mml:mrow></mml:math></inline-formula> are 0.84/0.87, respectively, consistent with an anthropogenic origin. A decrease in <inline-formula><mml:math id="M125" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> at a 0.3 % supersaturation from 150 to 41 <inline-formula><mml:math id="M126" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> from 21:00 UTC, 28 February, to 00:00 UTC, 29 February, coincides with an increase in <inline-formula><mml:math id="M127" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, suggesting the CO and <inline-formula><mml:math id="M128" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CH</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>-enriched air mass also contains less hygroscopic aerosol (Fig. <xref ref-type="fig" rid="F6"/>a).</p>
      <p id="d2e2564">The mean aerosol number size distribution at Villum corresponding to the SL1 back-trajectories has a dominant accumulation mode with a peak diameter near 110 nm (Fig. <xref ref-type="fig" rid="F7"/>), similar to central springtime Arctic observations <xref ref-type="bibr" rid="bib1.bibx11" id="paren.69"/>. A small enhancement in aerosol concentrations from 10–30 nm (Fig. <xref ref-type="fig" rid="F7"/>) is potentially indicative of new particle formation. The mean aerosol number size distribution at Villum corresponding to the SL3 back-trajectories is unimodal with an accumulation mode peak near 110 nm (Fig. <xref ref-type="fig" rid="F7"/>). The time-mean <inline-formula><mml:math id="M129" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> corresponding to the SL1 back-trajectories at Villum of 266 <inline-formula><mml:math id="M130" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> exceeds that of 194 <inline-formula><mml:math id="M131" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> corresponding to the SL3 back-trajectories.</p>

      <fig id="F7"><label>Figure 7</label><caption><p id="d2e2618">Mean aerosol number size distributions at Villum corresponding to back-trajectories from SL1 and SL3 (shading in Fig. <xref ref-type="fig" rid="F6"/>), for three flight segments along SL13 (300 m; blue in Fig. <xref ref-type="fig" rid="F1"/>), and one flight segment in the FT (1750 m; gray in Fig. <xref ref-type="fig" rid="F1"/>). The Villum aerosol number size distribution is based on SMPS measurements only. The SL1, SL3, and FT aerosol size distributions are a fit based on a merging of UHSAS, MPSS and PCASP (not shown) aerosol number size distributions <xref ref-type="bibr" rid="bib1.bibx16" id="paren.70"/>. Size-integrated total number concentrations (<inline-formula><mml:math id="M132" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) indicated in legend.</p></caption>
        <graphic xlink:href="https://acp.copernicus.org/articles/26/15375/2026/acp-26-15375-2026-f07.png"/>

      </fig>

      <p id="d2e2647">Overall <inline-formula><mml:math id="M133" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> values are less at Villum than during RF02 (Fig. <xref ref-type="fig" rid="F7"/>). By the beginning of SL1, 4 h after the air mass has left the sea ice edge and 13 h after flowing past Villum, the aerosol number size distribution is bimodal, with a larger primary accumulation mode centered at 100 nm, and an additional smaller secondary Aitken mode centered at 20–40 nm, separated by a minimum at 40–50 nm (Fig. <xref ref-type="fig" rid="F7"/>). The Aitken and accumulation mode aerosol number concentrations (<inline-formula><mml:math id="M134" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">ait</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M135" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">acc</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) exceed those measured on Svalbard in MCAO conditions <xref ref-type="bibr" rid="bib1.bibx118" id="paren.71"/>. Observed (collocated) <inline-formula><mml:math id="M136" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>/<inline-formula><mml:math id="M137" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> decrease from 650/680 <inline-formula><mml:math id="M138" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> during SL1, to 380/350 <inline-formula><mml:math id="M139" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> at the beginning of SL3, to 125/90 <inline-formula><mml:math id="M140" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> by the end of SL3 (Fig. <xref ref-type="fig" rid="F7"/>). <inline-formula><mml:math id="M141" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is sometimes higher than <inline-formula><mml:math id="M142" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, attributed to instrument uncertainty. BL CO concentrations of 140–150 ppbv measured during vertical profiles are consistent with values measured at Villum between 21:00 UTC, 28 February, and 01:00 UTC, 29 February (Figs. <xref ref-type="fig" rid="F6"/>b, <xref ref-type="fig" rid="F8"/>a–c). This suggests new aerosol sources, such as from sea spray production during transit over open water can help explain the <inline-formula><mml:math id="M143" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> increase. Sampling differences between the two locations (surface observations in a vertically stratified environment at Villum vs. airborne observations in a mixed BL during RF02) may also contribute.</p>
      <p id="d2e2795">By the time the air is sampled during RF02, CO and <inline-formula><mml:math id="M144" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> are both well-mixed within the SL1 BL profiles (Fig. <xref ref-type="fig" rid="F8"/>a–c), underneath a FT with more <inline-formula><mml:math id="M145" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and less CO. The FT gas concentrations remain relatively constant during SL1. Some rBC is also present in the boundary layer, consistent with an anthropogenic origin. By the last vertical profile, both the BL rBC and <inline-formula><mml:math id="M146" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> have declined substantially. The last ascent, at the end of SL3, is into a distinct FT airmass with higher <inline-formula><mml:math id="M147" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> concentrations and lower CO concentrations as the aircraft turned towards the south (Figs. <xref ref-type="fig" rid="F1"/>, <xref ref-type="fig" rid="F8"/>d).</p>

      <fig id="F8" specific-use="star"><label>Figure 8</label><caption><p id="d2e2852">Profiles of rBC, <inline-formula><mml:math id="M148" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, CO, and <inline-formula><mml:math id="M149" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> from the <bold>(a)</bold> spiral descent into SL1 from 13:38–13:44 UTC, <bold>(b)</bold> spiral ascent out of SL1 from 13:58–14:05 UTC, <bold>(c)</bold> spiral descent into SL3 from 15:15–15:22 UTC, and <bold>(d)</bold> in-line ascent out of SL3 from 15:53–15:58 UTC, all on 29 February, at locations depicted in Fig. <xref ref-type="fig" rid="F1"/>. Note the different scale of <inline-formula><mml:math id="M150" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and CO in <bold>(d)</bold>.</p></caption>
        <graphic xlink:href="https://acp.copernicus.org/articles/26/15375/2026/acp-26-15375-2026-f08.png"/>

      </fig>

      <fig id="F9" specific-use="star"><label>Figure 9</label><caption><p id="d2e2914">Thermodynamic profiles conducted during <bold>(a)</bold> spiral descent into SL1 from 13:38–13:44 UTC, <bold>(b)</bold> spiral ascent out of SL1 from 13:58–14:05 UTC, <bold>(c)</bold> spiral descent into SL3 from 15:15–15:22 UTC, and <bold>(d)</bold> in-line ascent out of SL3 from 15:53–15:58 UTC, all on 29 February, at locations depicted in Fig. <xref ref-type="fig" rid="F1"/>. Profiles are of temperature (red line), potential temperature (black line) and WVMR (dark green line) with wind barbs (knots) at 500 m intervals. WVMR values decrease due to icing on the VCSEL at times, notably in panel <bold>(c)</bold>.</p></caption>
        <graphic xlink:href="https://acp.copernicus.org/articles/26/15375/2026/acp-26-15375-2026-f09.png"/>

      </fig>

</sec>
<sec id="Ch1.S5">
  <label>5</label><title>Thermodynamic and microphysical profiles indicate the boundary layer remains well-mixed with distance</title>
      <p id="d2e2950">The four vertical profiles bounding SL1 and SL3 straddle 450 km (Fig. <xref ref-type="fig" rid="F1"/>), with the first three profiles done as spirals to minimize spatial variability. Over this distance, BL heights increase from 1270 to 2180 m, sub-cloud BL potential temperatures (<inline-formula><mml:math id="M151" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula>) increase from 265 to 270 K, and flight-level temperature/moisture increases and moistens from <inline-formula><mml:math id="M152" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">13</mml:mn></mml:mrow></mml:math></inline-formula> °C/1.2 <inline-formula><mml:math id="M153" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> to <inline-formula><mml:math id="M154" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula> °C/2 <inline-formula><mml:math id="M155" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="F9"/>). Sub-cloud <inline-formula><mml:math id="M156" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula> profiles indicate the BL is well-mixed (as do CO and <inline-formula><mml:math id="M157" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> in Fig. <xref ref-type="fig" rid="F8"/>), while southwesterly BL winds of 12–17 <inline-formula><mml:math id="M158" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> gradually weaken with fetch (Fig. <xref ref-type="fig" rid="F9"/>). The boundary layer is capped by a strong <inline-formula><mml:math id="M159" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 10 K temperature inversion (Fig. <xref ref-type="fig" rid="F9"/>a–c), with more water vapor in the FT than within the BL in all three spiral profiles (Fig. <xref ref-type="fig" rid="F9"/>a–c). During the rapid in-line ascent from SL3 through open-cell convection, the aircraft traveled southward (Fig. <xref ref-type="fig" rid="F1"/>) and ascended into a much drier FT airmass, consistent with crossing the sharp gradient in FT moisture shown in AROME-Arctic (Figs. <xref ref-type="fig" rid="F4"/>a, <xref ref-type="fig" rid="F9"/>d).</p>

      <fig id="F10" specific-use="star"><label>Figure 10</label><caption><p id="d2e3079">Microphysical profiles conducted during <bold>(a)</bold> spiral descent into SL1 from 13:38–13:44 UTC, <bold>(b)</bold> spiral ascent out of SL1 from 13:58–14:05 UTC, <bold>(c)</bold> spiral descent into SL3 from 15:15–15:22 UTC, and <bold>(d)</bold> in-line ascent out of SL3 from 15:53–15:58 UTC, all on 29 February, at locations depicted in Fig. <xref ref-type="fig" rid="F1"/>. Profiles include LWC (thick dark magenta line), IWC (thick dark blue line), <inline-formula><mml:math id="M160" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (thin pink line), and <inline-formula><mml:math id="M161" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (thin light blue line). Adiabatic LWC is calculated between cloud base (lowest altitude LWC <inline-formula><mml:math id="M162" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M163" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) and cloud top (highest altitude LWC <inline-formula><mml:math id="M164" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M165" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) in <bold>(a)</bold>–<bold>(c)</bold>. HOLODEC-II images of drizzle larger than 75 <inline-formula><mml:math id="M166" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> are shown. LWP (IWP) are integrated using in situ LWC (IWC).</p></caption>
        <graphic xlink:href="https://acp.copernicus.org/articles/26/15375/2026/acp-26-15375-2026-f10.png"/>

      </fig>

      <p id="d2e3196">The profiles bounding SL1 sampled liquid-dominated clouds with approximately adiabatic LWC profiles, corresponding to LWPs of 118 and 131 <inline-formula><mml:math id="M167" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="F10"/>a, b). LWCs surpass 0.3 <inline-formula><mml:math id="M168" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> at temperatures below <inline-formula><mml:math id="M169" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> °C with cloud tops, reaching 1310–1320 m, overshooting the inversion by 10–40 m (Fig. <xref ref-type="fig" rid="F10"/>a, b).   <inline-formula><mml:math id="M170" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> exceeds 600 <inline-formula><mml:math id="M171" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in both profiles bounding SL1 (Figs. <xref ref-type="fig" rid="F10"/>a, b, <xref ref-type="fig" rid="F11"/>). An <inline-formula><mml:math id="M172" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>–<inline-formula><mml:math id="M173" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> closure (Appendix C) using an adiabatic cloud parcel model <xref ref-type="bibr" rid="bib1.bibx90" id="paren.72"/> establishes confidence in the unusually high <inline-formula><mml:math id="M174" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> observations. Nearly all drops are <inline-formula><mml:math id="M175" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M176" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>, and 80 % of all drops are <inline-formula><mml:math id="M177" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M178" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> at both the beginning and end of SL1 (Fig. <xref ref-type="fig" rid="F11"/>). No drizzle (<inline-formula><mml:math id="M179" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">75</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M180" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>) is observed by HOLODEC-II in either profile, although at least one drizzle drop was captured by the larger sampling volume of the F2DS during both profiles (not shown). The effective diameters within 100 m of cloud top at the beginning and end of SL1 are 11.6 and 8.5 <inline-formula><mml:math id="M181" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> respectively (not shown). HVPS-3 microphysical imagery indicates dendrites, aggregates, and small rimed ice throughout the cloud (Fig. <xref ref-type="fig" rid="F12"/>a, b). The growth of dendrites and aggregates through vapor deposition is favored given cloud temperatures of <inline-formula><mml:math id="M182" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> to <inline-formula><mml:math id="M183" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula> °C in the presence of small supercooled droplets. <inline-formula><mml:math id="M184" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> remains below 3 <inline-formula><mml:math id="M185" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">L</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, with the exception of a spike to 6.5 <inline-formula><mml:math id="M186" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">L</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> at 750 m during the descent to SL1 (Fig. <xref ref-type="fig" rid="F10"/>a).</p>
      <p id="d2e3452">By the spiral descent to SL3, the average in-cloud <inline-formula><mml:math id="M187" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> has decreased to 302 <inline-formula><mml:math id="M188" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (Figs. <xref ref-type="fig" rid="F10"/>c, <xref ref-type="fig" rid="F11"/>), with a sharply adiabatically-distributed supercooled LWC reaching a maximum of 0.58 <inline-formula><mml:math id="M189" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> at the inversion height, corresponding to a LWP of 254 <inline-formula><mml:math id="M190" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. The cloud-top height overshoots the inversion height by 20 m. The drop size distribution has shifted to larger sizes, with 60 % of drop diameters <inline-formula><mml:math id="M191" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M192" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="F11"/>), and an effective diameter within 100 m of cloud top of 16.1 <inline-formula><mml:math id="M193" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> (not shown). Drizzle (<inline-formula><mml:math id="M194" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">75</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M195" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>) is observed by the HOLODEC-II between 880 m (<inline-formula><mml:math id="M196" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">15.5</mml:mn></mml:mrow></mml:math></inline-formula> °C) and 1290 m (<inline-formula><mml:math id="M197" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">18.6</mml:mn></mml:mrow></mml:math></inline-formula> °C) (Fig. <xref ref-type="fig" rid="F10"/>c). Riming becomes more obvious, with rimed particles larger and more numerous (Fig. <xref ref-type="fig" rid="F12"/>c). <inline-formula><mml:math id="M198" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> remains <inline-formula><mml:math id="M199" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M200" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">L</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="F10"/>c), however.</p>
      <p id="d2e3634">The rapid in-line ascent from SL3 through open-cell convection passes through clear sky prior to clipping the top of a convective cell (indicated in WCR reflectivity; not shown) with two discrete peaks of LWC: 0.23 <inline-formula><mml:math id="M201" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> at 1790 m and 0.58 <inline-formula><mml:math id="M202" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> at 2010 m (Fig. <xref ref-type="fig" rid="F10"/>d). Average in-cloud <inline-formula><mml:math id="M203" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is now reduced to 32 <inline-formula><mml:math id="M204" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, consistent with larger drop sizes: 80 % of drops have diameters between 20 and 30 <inline-formula><mml:math id="M205" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="F11"/>), and drizzle (<inline-formula><mml:math id="M206" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">75</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M207" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>) is observed by HOLODEC-II at temperatures as low as <inline-formula><mml:math id="M208" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">22</mml:mn></mml:mrow></mml:math></inline-formula> °C (Fig. <xref ref-type="fig" rid="F10"/>d). Large graupel are present, with diameters reaching 5 mm  (Fig. <xref ref-type="fig" rid="F12"/>d).</p>

      <fig id="F11"><label>Figure 11</label><caption><p id="d2e3748">Cumulative distribution function (CDF) of the drop size distributions for each vertical profile in Fig. <xref ref-type="fig" rid="F10"/>. Drop size distributions and profile-mean <inline-formula><mml:math id="M209" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (in legend) only include  areas between the highest and lowest observation of LWC <inline-formula><mml:math id="M210" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M211" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in each profile. Line color indicates fetch using the color scale in Fig. <xref ref-type="fig" rid="F7"/>.</p></caption>
        <graphic xlink:href="https://acp.copernicus.org/articles/26/15375/2026/acp-26-15375-2026-f11.png"/>

      </fig>

      <fig id="F12" specific-use="star"><label>Figure 12</label><caption><p id="d2e3801">HVPS-3 microphysical imagery profiles conducted during <bold>(a)</bold> spiral descent into SL1 from 13:38–13:44 UTC, <bold>(b)</bold> spiral ascent out of SL1 from 13:58–14:05 UTC, <bold>(c)</bold> spiral descent into SL3 from 15:15–15:22 UTC, and <bold>(d)</bold> in-line ascent out of SL3 from 15:53–15:58 UTC, all on 29 February, at locations depicted in Fig. <xref ref-type="fig" rid="F1"/>. The altitude of each image is indicated (red line), with the time and ambient air temperature noted in the bottom right of each image. Scale provided near top in the red boxes, repeated for convenience.</p></caption>
        <graphic xlink:href="https://acp.copernicus.org/articles/26/15375/2026/acp-26-15375-2026-f12.png"/>

      </fig>

      <fig id="F13" specific-use="star"><label>Figure 13</label><caption><p id="d2e3827">Observations during SL1 (13:44–13:58 UTC). In situ observations indicated at flight level (300 m) inside a black outline. <bold>(a)</bold> WCR reflectivity with lidar-derived cloud base (magenta line) and in situ IWC; <bold>(b)</bold> Two HVPS-3 images, at 13:50:20 and 13:57:23 UTC; <bold>(c)</bold> WCR Doppler velocity (1 <inline-formula><mml:math id="M212" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> added to offset fall speed of hydrometeors) and in situ vertical velocity; <bold>(d)</bold> MARLi-derived and in situ <inline-formula><mml:math id="M213" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">v</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>; <bold>(e)</bold> MARLi-derived and in situ <inline-formula><mml:math id="M214" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>; <bold>(f)</bold> MARLi and in situ WVMR (g kg<sup>−1</sup>); <bold>(g)</bold> GVR-retrieved LWP (g m<sup>−2</sup>, brown line) and radar-retrieved IWP (g m<sup>−2</sup>, blue line); <bold>(h)</bold> W-CCN <inline-formula><mml:math id="M218" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (black diamonds) and UHSAS/MPSS <inline-formula><mml:math id="M219" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (dark green line and orange filled circles, respectively); <bold>(i)</bold> In situ <inline-formula><mml:math id="M220" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (L<sup>−1</sup>, blue line) and CFDC derived <inline-formula><mml:math id="M222" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mrow><mml:mi mathvariant="normal">INP</mml:mi><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> (L<sup>−1</sup>, magenta cross indicating sample duration and error bounds); <bold>(j)</bold> Picarro <inline-formula><mml:math id="M224" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and CO concentrations (ppbv, blue and red lines respectively).</p></caption>
        <graphic xlink:href="https://acp.copernicus.org/articles/26/15375/2026/acp-26-15375-2026-f13.png"/>

      </fig>

      <fig id="F14" specific-use="star"><label>Figure 14</label><caption><p id="d2e4028">Same as Fig. <xref ref-type="fig" rid="F13"/> but for SL3 (15:22–15:53 UTC). The scale for <inline-formula><mml:math id="M225" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">v</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M226" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> in <bold>(d)</bold> and <bold>(e)</bold> are shifted up from those in Fig. <xref ref-type="fig" rid="F13"/>. Locations where cold pools (entrainment) are identified are underlined in blue (gold) in <bold>(d)</bold>–<bold>(f)</bold>.</p></caption>
        <graphic xlink:href="https://acp.copernicus.org/articles/26/15375/2026/acp-26-15375-2026-f14.png"/>

      </fig>

</sec>
<sec id="Ch1.S6">
  <label>6</label><title>Boundary layer evolution along SL13</title>
<sec id="Ch1.S6.SS1">
  <label>6.1</label><title>Closed-cell boundary layer warms and moistens during SL1</title>
      <p id="d2e4091">Closed-cell convection throughout SL1 reaches cloud-top heights averaging <inline-formula><mml:math id="M227" display="inline"><mml:mrow><mml:mn mathvariant="normal">1230</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">90</mml:mn></mml:mrow></mml:math></inline-formula> m over the 12 min 90 km leg (Fig. <xref ref-type="fig" rid="F13"/>a). Updraft velocities occasionally surpass 3 <inline-formula><mml:math id="M228" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="F13"/>c), more apparent later in the leg. The BL warms and moistens throughout, evident in the below flight-level MARLi-derived <inline-formula><mml:math id="M229" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">v</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M230" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, and WVMR profiles (Fig. <xref ref-type="fig" rid="F13"/>d, e, f).  Cloud bases average 660 m, slightly decreasing towards the end of the leg, consistent with the increasing sub-cloud WVMR (Fig. <xref ref-type="fig" rid="F13"/>a, f). LWPs increase throughout SL1, from 120 <inline-formula><mml:math id="M231" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (km 10 to km 40) to 180 <inline-formula><mml:math id="M232" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (km 70 to km 100) (Fig. <xref ref-type="fig" rid="F13"/>g) with <inline-formula><mml:math id="M233" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> concentrations occasionally surpassing 800 <inline-formula><mml:math id="M234" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="F13"/>h). The supercooled liquid supports the in-cloud growth of ice particles, detected as small rimed particles, dendrites, and aggregates at flight level (Fig. <xref ref-type="fig" rid="F13"/>b). Liquid-equivalent precipitation rates remain less than 0.5 <inline-formula><mml:math id="M235" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">h</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (flight-level IWC <inline-formula><mml:math id="M236" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.14</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M237" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) assuming a fall speed of 1 <inline-formula><mml:math id="M238" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, too light to generate obvious cold pools. No drizzle is evident in HOLODEC-II imagery at flight level (not shown). The 75th percentile of <inline-formula><mml:math id="M239" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> during SL1 is 1.0 <inline-formula><mml:math id="M240" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">L</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> with a maximum of 4.9 <inline-formula><mml:math id="M241" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">L</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> at km 91, 50–<inline-formula><mml:math id="M242" display="inline"><mml:mrow><mml:mn mathvariant="normal">500</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math></inline-formula> higher than <inline-formula><mml:math id="M243" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mrow><mml:mi mathvariant="normal">INP</mml:mi><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula>, consistent with SIP (Fig. <xref ref-type="fig" rid="F13"/>i, Table <xref ref-type="table" rid="T1"/>).</p>

<table-wrap id="T1" specific-use="star"><label>Table 1</label><caption><p id="d2e4353"><inline-formula><mml:math id="M244" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">INP</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> as measured by the CFDC along segments of SL13. CFDC processing temperature and <inline-formula><mml:math id="M245" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mrow><mml:mi mathvariant="normal">INP</mml:mi><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> for each leg is also included. 90 % confidence interval is indicated. Any concentration below the CFDC limit of detection is reported as zero.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Time (UTC)</oasis:entry>
         <oasis:entry colname="col2">Fetch Distance (km)</oasis:entry>
         <oasis:entry colname="col3">Inst. Temp (°C)</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M246" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">INP</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (L<sup>−1</sup>)</oasis:entry>
         <oasis:entry colname="col5"><inline-formula><mml:math id="M248" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mrow><mml:mi mathvariant="normal">INP</mml:mi><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> (L<sup>−1</sup>)</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">13:46:36–13:48:35</oasis:entry>
         <oasis:entry colname="col2">23.4–37.4</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M250" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">26.4</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">1.4 (0–4.1)</oasis:entry>
         <oasis:entry colname="col5">0.011 (0–0.036)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">13:53:46–13:59:00</oasis:entry>
         <oasis:entry colname="col2">74.2–108.4</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M251" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">26.5</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">2.6 (2.1–3.0)</oasis:entry>
         <oasis:entry colname="col5">0.018 (0.014–0.025)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">15:24:59–15:32:52</oasis:entry>
         <oasis:entry colname="col2">249.2–302.5</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M252" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">27.0</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">1.3 (0–2.7)</oasis:entry>
         <oasis:entry colname="col5">0.0067 (0–0.016)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">15:42:43–15:52:44</oasis:entry>
         <oasis:entry colname="col2">368.5–434.8</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M253" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">27.9</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">0 (0–0.53)</oasis:entry>
         <oasis:entry colname="col5">0 (0–0.0016)</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</sec>
<sec id="Ch1.S6.SS2">
  <label>6.2</label><title>Cold pools and entrainment are hypothesized to help organize the closed-to-open cell transition</title>
      <p id="d2e4579">Remote sensing and in situ observations, analogous to those for SL1 in Fig. <xref ref-type="fig" rid="F13"/>, indicate SL3 can be divided into three stages (Fig. <xref ref-type="fig" rid="F14"/>): closed-cells (km 230 to km 265), transition (km 265 to km 350), and open-cells (km 350 to km 435). Precipitation along SL3 is all ice, with no drizzle evident in HOLODEC-II imagery (not shown).</p>
      <p id="d2e4586">The closed-cells at the beginning of SL3 possess LWPs of <inline-formula><mml:math id="M254" display="inline"><mml:mrow><mml:mn mathvariant="normal">270</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">50</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M255" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> and average cloud-top heights of 1520 m, an increase of 290 m since SL1 (Fig. <xref ref-type="fig" rid="F14"/>a, g). Flight-level IWC reaches a maximum of 0.25 <inline-formula><mml:math id="M256" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> at km 247 (Fig. <xref ref-type="fig" rid="F14"/>a) with a 75th percentile (maximum) <inline-formula><mml:math id="M257" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> of 0.62 <inline-formula><mml:math id="M258" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">L</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (4.5 <inline-formula><mml:math id="M259" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">L</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) – 90–<inline-formula><mml:math id="M260" display="inline"><mml:mrow><mml:mn mathvariant="normal">700</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math></inline-formula> higher than <inline-formula><mml:math id="M261" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mrow><mml:mi mathvariant="normal">INP</mml:mi><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> (now decreased to 0.0067 <inline-formula><mml:math id="M262" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">L</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> compared to SL1) (Fig. <xref ref-type="fig" rid="F14"/>i, Table <xref ref-type="table" rid="T1"/>). The average <inline-formula><mml:math id="M263" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> has decreased from SL1, to 390 <inline-formula><mml:math id="M264" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="F14"/>h).</p>
      <p id="d2e4749">The first hint of a transition to open-cell convection appears when cloud tops increase rapidly from 1540 to 1760 m between km 265 and km 285 (Fig. <xref ref-type="fig" rid="F14"/>a). Simultaneously BL CO rapidly drops while <inline-formula><mml:math id="M265" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> increases (Fig. <xref ref-type="fig" rid="F14"/>j). All three observations indicate entrainment. The first mostly glaciated cloud is observed at km 282, with a radar-derived IWP reaching 260 <inline-formula><mml:math id="M266" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> and a decrease in LWP from approximately 300 to 50 <inline-formula><mml:math id="M267" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="F14"/>a, g). Small graupel (diameters of 1 mm) reaches flight level (Fig. <xref ref-type="fig" rid="F14"/>b) with IWC reaching 0.24 <inline-formula><mml:math id="M268" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M269" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> reaching 6.3 <inline-formula><mml:math id="M270" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">L</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="F14"/>a, i). The precipitation shaft near km 282 generates the first observed cold pool (<inline-formula><mml:math id="M271" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">v</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> of <inline-formula><mml:math id="M272" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.6</mml:mn></mml:mrow></mml:math></inline-formula> K; width of 2 km) (Fig. <xref ref-type="fig" rid="F14"/>d). A cold pool is also present centered at km 297 (<inline-formula><mml:math id="M273" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">v</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> of <inline-formula><mml:math id="M274" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.8</mml:mn></mml:mrow></mml:math></inline-formula> K; width of 8 km), similarly associated with ice precipitation falling from a mostly glaciated cloud (Fig. <xref ref-type="fig" rid="F14"/>a, d, g). 25 km further downstream, warm <inline-formula><mml:math id="M275" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">v</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> anomalies (Fig. <xref ref-type="fig" rid="F14"/>d), dry WVMR anomalies (Fig. <xref ref-type="fig" rid="F14"/>f), and a suppressed reflectivity structure (Fig. <xref ref-type="fig" rid="F14"/>a), indicate the first entrainment event reaching within 60 m of the ocean surface, centered at km 322 (<inline-formula><mml:math id="M276" display="inline"><mml:mi mathvariant="normal">Δ</mml:mi></mml:math></inline-formula>WVMR of <inline-formula><mml:math id="M277" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M278" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>; width of 8 km), followed by another at km 337 (<inline-formula><mml:math id="M279" display="inline"><mml:mi mathvariant="normal">Δ</mml:mi></mml:math></inline-formula>WVMR of <inline-formula><mml:math id="M280" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M281" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>; width of 8 km). Nearby these events, <inline-formula><mml:math id="M282" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> (CO) increases (decreases) at km 319 and km 335 (Fig. <xref ref-type="fig" rid="F14"/>j). The drying of the BL is associated with decreasing LWP and IWP (Fig. <xref ref-type="fig" rid="F14"/>g), with the first clearing observed at km 350 (Fig. <xref ref-type="fig" rid="F14"/>a). Cloud bases rise from 640 m at the beginning of SL3 to 1070 m averaged from km 315 to km 350 (Fig. <xref ref-type="fig" rid="F14"/>a). Cross-track advection of air, previously dried through entrainment with the dry FT airmass to the south of SL3, may also contribute to drying the BL and rising (falling) <inline-formula><mml:math id="M283" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> (CO) concentrations (Fig. <xref ref-type="fig" rid="F4"/>a). We note any sublimation/evaporation of precipitation into a drier BL will decrease temperature more than if sublimating into a moist BL, further aiding the formation of cold pools. <inline-formula><mml:math id="M284" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> decreases from 390 <inline-formula><mml:math id="M285" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> during the closed-cell segment to 135 <inline-formula><mml:math id="M286" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> by the end of the transition segment (km 325 to km 350; Fig. <xref ref-type="fig" rid="F14"/>h).</p>
</sec>
<sec id="Ch1.S6.SS3">
  <label>6.3</label><title>Cold pools do not decouple the boundary layer during open-cell convection</title>
      <p id="d2e5071">Within open-cells, frozen precipitation reaches flight level with in situ IWCs exceeding 0.5 <inline-formula><mml:math id="M287" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> at times (Fig. <xref ref-type="fig" rid="F14"/>a). The maximum <inline-formula><mml:math id="M288" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> reaches 12.5 <inline-formula><mml:math id="M289" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">L</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, more than <inline-formula><mml:math id="M290" display="inline"><mml:mrow><mml:mn mathvariant="normal">5000</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math></inline-formula> higher than <inline-formula><mml:math id="M291" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mrow><mml:mi mathvariant="normal">INP</mml:mi><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula>, clearly indicating SIP (Fig. <xref ref-type="fig" rid="F14"/>i, Table <xref ref-type="table" rid="T1"/>). Each of the precipitation shafts at km 364, km 374, and km 393 cool the air to the surface, generating a negative buoyancy relative to the surrounding air (Fig. <xref ref-type="fig" rid="F14"/>a, d). Observed locations of cold pools are sometimes a few km downwind (to the right) of the precipitation at flight level and typically confined to within 200 m of the surface. A SAR-wind satellite image, taken approximately 30 min after the in-line ascent at the end of SL3, confirms cold pools reach the ocean surface near the end and to the east of SL3 (Fig. <xref ref-type="fig" rid="F15"/>). The cold pool gust front suppresses the synoptic westerly wind at the western cold pool edge, and enhances the synoptic westerly at the leading eastern edge of a cold pool. In this example the synoptic-scale winds are weakening, but the cold pools do help extend the higher surface winds further downstream.  The cold pools, by further increasing the air-sea temperature differences, can also increase the surface fluxes, although the new convection is not necessarily collocated with the strongest winds, as discussed below.</p>
      <p id="d2e5151">The discrete cells have cloud tops reaching a maximum of 2220 m interspersed with areas of clear skies (Fig. <xref ref-type="fig" rid="F14"/>a). The individual convective areas, labeled 0–3 in Fig. <xref ref-type="fig" rid="F14"/>b and initially described in <xref ref-type="bibr" rid="bib1.bibx25" id="text.73"/> with the addition of cell 0, differ microphysically and dynamically (Fig. <xref ref-type="fig" rid="F16"/>). The differences provide insight into the cell maturity. Thin mid-level cloud above cell 0 and cell 1 indicates the presence of above-cloud moisture (Figs. <xref ref-type="fig" rid="F1"/>b, <xref ref-type="fig" rid="F14"/>a).</p>

      <fig id="F15" specific-use="star"><label>Figure 15</label><caption><p id="d2e5170">SAR imagery from RadarSat Constellation Mission 1 (RCM1) of the 10 m wind field in the vicinity of SL3 <inline-formula><mml:math id="M292" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">30</mml:mn></mml:mrow></mml:math></inline-formula> min after the completion of SL3. The flight track is overlaid along with flight-level (300 m) wind barbs (knots). An example of a cold pool signature is circled, with an approximate width of 15 km.</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/26/15375/2026/acp-26-15375-2026-f15.png"/>

        </fig>

      <fig id="F16" specific-use="star"><label>Figure 16</label><caption><p id="d2e5192">In situ flight level (300 m) <bold>(a)</bold> horizontal wind speed (WSPD), <bold>(b)</bold> vertical wind velocity (<inline-formula><mml:math id="M293" display="inline"><mml:mi>w</mml:mi></mml:math></inline-formula>), <bold>(c)</bold> <inline-formula><mml:math id="M294" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, <bold>(d)</bold> <inline-formula><mml:math id="M295" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">v</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, and <bold>(e)</bold> WVMR. <bold>(c)</bold>–<bold>(e)</bold> also include MARLi-derived values at 60 and 200 m altitude. <bold>(f)</bold> Retrieved LWP/IWP and in situ IWC. Cold pools are indicated in light blue and entrainment is indicated in gold. From km 391 to km 394, the lowest level MARLi-derived parameters (<inline-formula><mml:math id="M296" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M297" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">v</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, and WVMR) are impacted by heavy ice precipitation attenuating the MARLi signal.</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/26/15375/2026/acp-26-15375-2026-f16.png"/>

        </fig>

      <p id="d2e5278">Cell 0 near km 359 contains a narrow in-cloud updraft (<inline-formula><mml:math id="M298" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">500</mml:mn></mml:mrow></mml:math></inline-formula> m wide; Fig. <xref ref-type="fig" rid="F14"/>c) with maximum in situ vertical velocities reaching 2.0 <inline-formula><mml:math id="M299" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="F16"/>b), collocated with supercooled LWPs of 460 <inline-formula><mml:math id="M300" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (Figs. <xref ref-type="fig" rid="F14"/>g, <xref ref-type="fig" rid="F16"/>f). The updraft is collocated with a decrease in horizontal wind speed, implying surface convergence (Fig. <xref ref-type="fig" rid="F16"/>a). Downwind of the updraft, a precipitation shaft contains graupel and a few aggregates, with IWC reaching 0.49 <inline-formula><mml:math id="M301" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (Figs. <xref ref-type="fig" rid="F14"/>a, b, <xref ref-type="fig" rid="F16"/>f) and a surface cold pool (<inline-formula><mml:math id="M302" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">v</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> of <inline-formula><mml:math id="M303" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.9</mml:mn></mml:mrow></mml:math></inline-formula> K; width of 4 km) located a couple km further downwind (km 366; Figs. <xref ref-type="fig" rid="F14"/>d, <xref ref-type="fig" rid="F16"/>d).</p>
      <p id="d2e5385">The in situ updrafts are even stronger in cell 1, reaching 3.2 <inline-formula><mml:math id="M304" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> near km 376 (also visible in a 10 m jump in the aircraft's altitude in Fig. <xref ref-type="fig" rid="F14"/>d, e, f), collocated with LWPs of 550 <inline-formula><mml:math id="M305" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="F16"/>b, f). The updrafts are again collocated with a reduction in the horizontal wind speed from <inline-formula><mml:math id="M306" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> to 1.4 <inline-formula><mml:math id="M307" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="F16"/>a), consistent with near-surface wind convergence. Upwind of the main updraft at km 374, an intense precipitation shaft with IWP reaching 510 <inline-formula><mml:math id="M308" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> coincides with flight-level IWC reaching a maximum of 0.33 <inline-formula><mml:math id="M309" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (Figs. <xref ref-type="fig" rid="F14"/>a, g, <xref ref-type="fig" rid="F16"/>f). Microphysical imagery includes abundant graupel (Fig. <xref ref-type="fig" rid="F14"/>b). A cold pool (<inline-formula><mml:math id="M310" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">v</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> of <inline-formula><mml:math id="M311" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.8</mml:mn></mml:mrow></mml:math></inline-formula> K; width of 5 km) is centered at km 378, again a few km downwind of the flight-level precipitation (Figs. <xref ref-type="fig" rid="F14"/>a, d, <xref ref-type="fig" rid="F16"/>d).</p>
      <p id="d2e5524">In contrast, cell 2 (near km 390) lacks both a well-defined updraft and liquid water, with maximum LWPs <inline-formula><mml:math id="M312" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">40</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M313" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="F14"/>c, g). While in situ and Doppler vertical velocities reach 3 <inline-formula><mml:math id="M314" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> at km 388, the updraft does not reach the cloud base (Figs. <xref ref-type="fig" rid="F14"/>c, <xref ref-type="fig" rid="F16"/>b). A wide (6 km) precipitation shaft (IWP reaching 410 <inline-formula><mml:math id="M315" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) contains the highest precipitation rate of all the open-cells, with IWC reaching 0.89 <inline-formula><mml:math id="M316" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> consisting mostly of aggregates (Figs. <xref ref-type="fig" rid="F14"/>a, b, g, <xref ref-type="fig" rid="F16"/>f). The aggregate habit is consistent with the lack of supercooled water (Figs. <xref ref-type="fig" rid="F14"/>g, <xref ref-type="fig" rid="F16"/>f). Assuming a fall speed of 1 <inline-formula><mml:math id="M317" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, the maximum IWC equates to a liquid-equivalent precipitation rate of approximately 3 <inline-formula><mml:math id="M318" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">h</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. The associated cold pool, the widest and most intense observed (<inline-formula><mml:math id="M319" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">v</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> of <inline-formula><mml:math id="M320" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1.3</mml:mn></mml:mrow></mml:math></inline-formula> K; width of 9 km), is centered at km 398, shifted (again) downwind, by 5 km, of the precipitation shaft center (Figs. <xref ref-type="fig" rid="F14"/>a, d, <xref ref-type="fig" rid="F16"/>d).</p>
      <p id="d2e5683">Cell 3 contains a broad updraft between km 404 and km 408 with a maximum in situ flight-level vertical velocity of 3.2 <inline-formula><mml:math id="M321" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> at km 407 (Figs. <xref ref-type="fig" rid="F14"/>c, <xref ref-type="fig" rid="F16"/>b). LWPs remain elevated <inline-formula><mml:math id="M322" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">300</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M323" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> from km 406 to km 409 with a maximum of 440 <inline-formula><mml:math id="M324" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (Figs. <xref ref-type="fig" rid="F14"/>g, <xref ref-type="fig" rid="F16"/>f). Little precipitation, mostly consisting of graupel, reaches the flight level (Fig. <xref ref-type="fig" rid="F14"/>b). IWPs only reach 170 <inline-formula><mml:math id="M325" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, the least of all the open-cells (Figs. <xref ref-type="fig" rid="F14"/>g, <xref ref-type="fig" rid="F16"/>f). The corresponding cold pool is also the narrowest and weakest (<inline-formula><mml:math id="M326" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">v</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> of <inline-formula><mml:math id="M327" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.7</mml:mn></mml:mrow></mml:math></inline-formula> K; width of 3 km) (Figs. <xref ref-type="fig" rid="F14"/>d, <xref ref-type="fig" rid="F16"/>d). Cell 3 borders the strongest entrainment event on the flight (<inline-formula><mml:math id="M328" display="inline"><mml:mi mathvariant="normal">Δ</mml:mi></mml:math></inline-formula>WVMR of <inline-formula><mml:math id="M329" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M330" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>; width of 12 km) spanning from km 416 to km 428 (Fig. <xref ref-type="fig" rid="F14"/>d, f), with a 5 km wide clearing from km 415 to km 420 (Fig. <xref ref-type="fig" rid="F14"/>a).</p>
      <p id="d2e5846">While each observation is a snapshot in time, in combination they construct a visualization of how cells evolve in this cloud regime. The strong updrafts generating liquid water, but accompanied by little precipitation, suggest cell 3 is still developing. In cell 0 and cell 1, the strong updrafts are also associated with high LWPs adjacent to strong precipitation shafts containing graupel, indicating more mature cells. Cell 2, fully glaciated with dendrites and aggregates and no apparent in-cloud updraft, is more likely a decaying cell. Throughout the open-cells, IWP and flight-level IWC tend to be vertically aligned (Figs. <xref ref-type="fig" rid="F14"/>a, g, <xref ref-type="fig" rid="F16"/>f) consistent with minimal BL wind shear (Fig. <xref ref-type="fig" rid="F9"/>). The cold pools tend to be located downwind of the main precipitation shafts, consistent with a cold pool expansion enhanced by the prevailing BL wind. Surface convergence supporting updrafts appears to be more common on the upstream edge of the cold pools, notably in cell 0 and cell 1 (Fig. <xref ref-type="fig" rid="F16"/>a, b, d). The two-dimensional linear sampling of what is essentially a three-dimensional morphology may be introducing a possible sampling bias. Nevertheless, the contrast with the downstream generation of cloud mesoscale arcs within the tropical trade-wind regime <xref ref-type="bibr" rid="bib1.bibx130" id="paren.74"/> is of interest and will receive further attention. The cold pools furthermore do not thermodynamically decouple the BL (MARLi 60 m <inline-formula><mml:math id="M331" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">v</mml:mi></mml:msub><mml:mo>/</mml:mo><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> always exceeds MARLi 200 m <inline-formula><mml:math id="M332" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">v</mml:mi></mml:msub><mml:mo>/</mml:mo><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>; Fig. <xref ref-type="fig" rid="F16"/>c, d). As ice particles sublimate and form cold pools, the air can cool to its ice-bulb temperature, which has a similar magnitude to the more commonly used wet-bulb temperature (the heat of evaporation accounts for 88 % of the heat of sublimation). MARLi-derived 60 m wet-bulb depressions average to only 1.4 K during the open-cell segment of SL3, discouraging cold pool stabilization of the near surface air given the strong surface fluxes. <inline-formula><mml:math id="M333" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is on average 1.1 K higher at 60 m than at 200 m, and presumably even higher at the surface. The cold pools do not appear to thermodynamically decouple the BL, in contrast to conceptualizations of the transition in warmer regions <xref ref-type="bibr" rid="bib1.bibx2 bib1.bibx124 bib1.bibx92 bib1.bibx127" id="paren.75"/>. However, the convergence boundaries formed by the gust outflows initiate robust updrafts that likely further entrainment at cloud top.</p>
</sec>
</sec>
<sec id="Ch1.S7">
  <label>7</label><title>Riming increases with fetch facilitating more precipitation</title>
      <p id="d2e5922">Over the course of SL13, the highest <inline-formula><mml:math id="M334" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M335" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M336" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> reported during CAESAR (<inline-formula><mml:math id="M337" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> of 650 <inline-formula><mml:math id="M338" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M339" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> of 680 <inline-formula><mml:math id="M340" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M341" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">600</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M342" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>), all decrease to less than 125 <inline-formula><mml:math id="M343" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. These <inline-formula><mml:math id="M344" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M345" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M346" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> are consistent within measurement uncertainties (Appendix C). Cloud droplet formation is primarily dependent on the activation of accumulation mode aerosols, which are depleted through entrainment with cleaner FT air and likely precipitation scavenging (Fig. <xref ref-type="fig" rid="F7"/>; Appendix D). Sea spray aerosol production is estimated to be an order of magnitude less than the aerosol depletion rate (Appendix D). The transfer of Aitken mode aerosols through activation into larger accumulation mode particles is also unlikely to keep up with the removal of accumulation mode particles, even when buffered through entrainment of FT Aitken mode aerosol (Appendix D).</p>
      <p id="d2e6088">Here we discuss how reductions in <inline-formula><mml:math id="M347" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M348" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, and the resulting increasing droplet size, increase the riming efficiency with fetch. This in turn encourages more precipitation, as rimed particles fall faster than vapor-grown ice crystals, and thereby cold pools. In general, larger supercooled droplets and larger hydrometeors possess higher riming efficiencies. More specific values for the ice crystal collision/riming efficiencies as a function of ice crystal shape and size with the drop sizes measured during the three spiral profiles are provided in Table <xref ref-type="table" rid="T2"/> using data from <xref ref-type="bibr" rid="bib1.bibx114" id="text.76"/> and <xref ref-type="bibr" rid="bib1.bibx47" id="text.77"/>.</p>
      <p id="d2e6121">The vertical profiles bounding SL1 (Fig. <xref ref-type="fig" rid="F12"/>a, b) sampled aggregates and dendrites. Although some of the small ice at flight level appear rimed, dendrites are more common, indicating most ice particle growth is through vapor deposition. Despite the large LWPs, the small droplet sizes reduce the riming efficiencies <xref ref-type="bibr" rid="bib1.bibx53 bib1.bibx72" id="paren.78"/>. No cold pools are observed during SL1, consistent with a light liquid-equivalent precipitation rate and slow fall speeds of dendrites. Ice particles with lower fall speeds are more likely to sublimate closer to the cloud base, moistening the sub-cloud layer, which helps maintain coupling between the ocean and the cloud layer, similar to liquid drops <xref ref-type="bibr" rid="bib1.bibx15 bib1.bibx27" id="paren.79"/>.</p>
      <p id="d2e6133">By the beginning of SL3, the <inline-formula><mml:math id="M349" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> has decreased to 300 <inline-formula><mml:math id="M350" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, the cloud droplet sizes have increased, and some supercooled drizzle is observed (Figs. <xref ref-type="fig" rid="F10"/>c, <xref ref-type="fig" rid="F11"/>). Although dendrites are present in the upper portion of the cloud, these become rimed at lower altitudes (Fig. <xref ref-type="fig" rid="F12"/>c). Collision efficiencies increase by a factor of <inline-formula><mml:math id="M351" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula> between SL1 and the beginning of SL3 as drop sizes increase (Table <xref ref-type="table" rid="T2"/>). Cold pools nevertheless do not appear until after <inline-formula><mml:math id="M352" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> decreases below 250 <inline-formula><mml:math id="M353" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, after rapid BL growth (Fig. <xref ref-type="fig" rid="F14"/>). By km 282, <inline-formula><mml:math id="M354" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> exceeds 5 <inline-formula><mml:math id="M355" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">L</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, and the ice habit suggests graupel (Fig. <xref ref-type="fig" rid="F14"/>b, i). The LWPs have not increased since the beginning of SL3, indicating the dilution of <inline-formula><mml:math id="M356" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, by entrainment, may be impactful for increasing the ice production (Fig. <xref ref-type="fig" rid="F14"/>g). By the time open-cell convection sets in (Fig. <xref ref-type="fig" rid="F14"/>b), and during the ascent away from SL3 (Fig. <xref ref-type="fig" rid="F12"/>d), numerous large graupel particles are present with diameters reaching 5 mm, and cold pools are plentiful (Fig. <xref ref-type="fig" rid="F14"/>d). The increase in ice particle size and <inline-formula><mml:math id="M357" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> after the transition to open-cells is also apparent in the composite F2DS and HVPS-3 ice particle size distribution (Fig. <xref ref-type="fig" rid="F17"/>). The reduction in <inline-formula><mml:math id="M358" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> accompanying the rapid BL growth prior to km 282 – likely brought about by entrainment facilitated by a weakening temperature inversion, subsequently accelerated by aerosol deposition – appears critical for setting up the internal conditions facilitating riming, more precipitation, and thereby the transition in cloud morphology.</p>
      <p id="d2e6280">Turbulence also increases the collision likelihood and thereby riming efficiency between ice particles and cloud droplets, particularly when both particles have similar fall speeds <xref ref-type="bibr" rid="bib1.bibx97 bib1.bibx19 bib1.bibx57" id="paren.80"/>. In situ flight-level turbulent kinetic energy across a 100 s (10 s) moving window decreases from 1.9 <inline-formula><mml:math id="M359" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (1.0 <inline-formula><mml:math id="M360" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) during SL1, however, to 1.6 <inline-formula><mml:math id="M361" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (0.74 <inline-formula><mml:math id="M362" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) during the open-cell segment of SL3, as horizontal wind speeds decrease. This suggests turbulence may increase overall riming efficiency, but cannot explain increased riming with fetch.</p>

      <fig id="F17"><label>Figure 17</label><caption><p id="d2e6368">Composite F2DS (<inline-formula><mml:math id="M363" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">100</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M364" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>) and HVPS-3 (<inline-formula><mml:math id="M365" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">100</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M366" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>) ice particle size distribution averaged across segments of SL13, only including samples with <inline-formula><mml:math id="M367" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M368" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">L</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. Line color indicates fetch using the scale in Fig. <xref ref-type="fig" rid="F7"/>.</p></caption>
        <graphic xlink:href="https://acp.copernicus.org/articles/26/15375/2026/acp-26-15375-2026-f17.png"/>

      </fig>

<table-wrap id="T2" specific-use="star"><label>Table 2</label><caption><p id="d2e6452">Collision efficiencies of various ice particle types with supercooled droplets based on the observed drop size distribution during vertical profiles. Collision efficiencies of dendrites, hexagonal plates, and columnar ice crystals with various drop sizes are visually estimated from Figs. 6–8 in <xref ref-type="bibr" rid="bib1.bibx114" id="text.81"/>. Collision efficiencies of graupel are reported in Tables A1 and A2 in <xref ref-type="bibr" rid="bib1.bibx47" id="text.82"/>.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry rowsep="1" namest="col2" nameend="col5" align="center">Ice/droplet collision efficiencies </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Ice particle type</oasis:entry>
         <oasis:entry colname="col2">Ice particle size</oasis:entry>
         <oasis:entry colname="col3">SL1 begin</oasis:entry>
         <oasis:entry colname="col4">SL1 end</oasis:entry>
         <oasis:entry colname="col5">SL3 begin</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Dendrite</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M369" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">125</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M370" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">0.09</oasis:entry>
         <oasis:entry colname="col4">0.12</oasis:entry>
         <oasis:entry colname="col5">0.25</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Dendrite</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M371" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">350</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M372" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">0.16</oasis:entry>
         <oasis:entry colname="col4">0.19</oasis:entry>
         <oasis:entry colname="col5">0.34</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Hexagonal Plate</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M373" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">80</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M374" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">0.08</oasis:entry>
         <oasis:entry colname="col4">0.09</oasis:entry>
         <oasis:entry colname="col5">0.20</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Hexagonal Plate</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M375" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">358</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M376" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">0.33</oasis:entry>
         <oasis:entry colname="col4">0.38</oasis:entry>
         <oasis:entry colname="col5">0.55</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Columnar</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M377" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">24</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M378" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>; <inline-formula><mml:math id="M379" display="inline"><mml:mrow><mml:mi>l</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">67</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M380" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">0.12</oasis:entry>
         <oasis:entry colname="col4">0.13</oasis:entry>
         <oasis:entry colname="col5">0.19</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Columnar</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M381" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">53</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M382" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>; <inline-formula><mml:math id="M383" display="inline"><mml:mrow><mml:mi>l</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">237</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M384" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">0.31</oasis:entry>
         <oasis:entry colname="col4">0.35</oasis:entry>
         <oasis:entry colname="col5">0.48</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Graupel</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M385" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">200</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M386" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>; <inline-formula><mml:math id="M387" display="inline"><mml:mrow><mml:mi mathvariant="italic">ρ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M388" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">0.13</oasis:entry>
         <oasis:entry colname="col4">0.16</oasis:entry>
         <oasis:entry colname="col5">0.30</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Graupel</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M389" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">400</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M390" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>; <inline-formula><mml:math id="M391" display="inline"><mml:mrow><mml:mi mathvariant="italic">ρ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M392" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">0.30</oasis:entry>
         <oasis:entry colname="col4">0.34</oasis:entry>
         <oasis:entry colname="col5">0.51</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Graupel</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M393" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">200</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M394" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>; <inline-formula><mml:math id="M395" display="inline"><mml:mrow><mml:mi mathvariant="italic">ρ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M396" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">0.46</oasis:entry>
         <oasis:entry colname="col4">0.50</oasis:entry>
         <oasis:entry colname="col5">0.64</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Graupel</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M397" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">400</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M398" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>; <inline-formula><mml:math id="M399" display="inline"><mml:mrow><mml:mi mathvariant="italic">ρ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M400" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">0.60</oasis:entry>
         <oasis:entry colname="col4">0.63</oasis:entry>
         <oasis:entry colname="col5">0.74</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</sec>
<sec id="Ch1.S8">
  <label>8</label><title>Can we explain SIP?</title>
      <p id="d2e7058"><inline-formula><mml:math id="M401" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">INP</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> during SL1 is comparable to other CAESAR flights, with concentrations around 2 <inline-formula><mml:math id="M402" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">L</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> at an instrument aerosol processing temperature between <inline-formula><mml:math id="M403" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">28</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M404" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">26</mml:mn></mml:mrow></mml:math></inline-formula> °C <xref ref-type="bibr" rid="bib1.bibx132" id="paren.83"/>. <inline-formula><mml:math id="M405" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">INP</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> decreases below the detection limit of the CFDC by the end of SL3 (Fig. <xref ref-type="fig" rid="F14"/>i, Table <xref ref-type="table" rid="T1"/>). <inline-formula><mml:math id="M406" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is 50–<inline-formula><mml:math id="M407" display="inline"><mml:mrow><mml:mn mathvariant="normal">500</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math></inline-formula> higher than <inline-formula><mml:math id="M408" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mrow><mml:mi mathvariant="normal">INP</mml:mi><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> during closed-cell convection during SL1, consistent with SIP. Cloud temperatures are too low to support Hallett-Mossop splintering <xref ref-type="bibr" rid="bib1.bibx39" id="paren.84"/>. Supercooled drizzle may be present during SL1, but only in small number concentrations that minimize the potential impact of freezing-induced-drop fragmentation. Another potential SIP mechanism is through ice-on-ice collisional breakup. One supporting observation is that, at an altitude of 750 m during the descent to SL1, <inline-formula><mml:math id="M409" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> reaches a concentration of 6.5 <inline-formula><mml:math id="M410" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">L</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M411" display="inline"><mml:mrow><mml:mn mathvariant="normal">500</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math></inline-formula> higher than <inline-formula><mml:math id="M412" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mrow><mml:mi mathvariant="normal">INP</mml:mi><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula>), collocated with a spike in IWC to 0.25 <inline-formula><mml:math id="M413" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (and a depletion in LWC consistent with the enhanced removal of supercooled liquid through WBF processes and/or riming in the presence of higher <inline-formula><mml:math id="M414" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) at a temperature of <inline-formula><mml:math id="M415" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">16.3</mml:mn></mml:mrow></mml:math></inline-formula> °C (Fig. <xref ref-type="fig" rid="F10"/>a). This is near the temperature at which ice-on-ice collisional breakup is most effective <xref ref-type="bibr" rid="bib1.bibx106 bib1.bibx111" id="paren.85"/>. During the open-cell convection portion of SL3, <inline-formula><mml:math id="M416" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> reaches concentrations of 12.5 <inline-formula><mml:math id="M417" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">L</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, more than <inline-formula><mml:math id="M418" display="inline"><mml:mrow><mml:mn mathvariant="normal">5000</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math></inline-formula> higher than <inline-formula><mml:math id="M419" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mrow><mml:mi mathvariant="normal">INP</mml:mi><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="F14"/>i, Table <xref ref-type="table" rid="T1"/>). Supercooled drizzle (<inline-formula><mml:math id="M420" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">75</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M421" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>) at temperatures below <inline-formula><mml:math id="M422" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">18</mml:mn></mml:mrow></mml:math></inline-formula> °C within both profiles bounding SL3 (Fig. <xref ref-type="fig" rid="F10"/>c, d) potentially support both freezing-induced-drop fragmentation and ice-on-ice collisional breakup. Ice is also present in updrafts with in situ vertical velocities <inline-formula><mml:math id="M423" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M424" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, crudely on par or exceeding the ice particle fall velocity (Fig. S2). <inline-formula><mml:math id="M425" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is greater than 0.1 <inline-formula><mml:math id="M426" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">L</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (1 <inline-formula><mml:math id="M427" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">L</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) during 43 % (21 %) of the flight-level samples below open-cells with in situ vertical velocities <inline-formula><mml:math id="M428" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M429" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. <inline-formula><mml:math id="M430" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> values exceeding <inline-formula><mml:math id="M431" display="inline"><mml:mrow><mml:mn mathvariant="normal">100</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math></inline-formula> ambient <inline-formula><mml:math id="M432" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mrow><mml:mi mathvariant="normal">INP</mml:mi><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> within updrafts indicates that their recirculation into open-cell convection could increase further <inline-formula><mml:math id="M433" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> production <xref ref-type="bibr" rid="bib1.bibx50 bib1.bibx54" id="paren.86"/>.</p>

      <fig id="F18" specific-use="star"><label>Figure 18</label><caption><p id="d2e7489">Schematic showing the microphysical and dynamical processes contributing to the closed-to-open cell transition.</p></caption>
        <graphic xlink:href="https://acp.copernicus.org/articles/26/15375/2026/acp-26-15375-2026-f18.png"/>

      </fig>

</sec>
<sec id="Ch1.S9" sec-type="conclusions">
  <label>9</label><title>Conclusions</title>
      <p id="d2e7506">The advanced and diverse instrumentation on-board the NSF NCAR C-130 during the CAESAR campaign characterized a closed-to-open cell transition within an MCAO made unusual by its high initial aerosol loading under cloud temperatures too cold to sustain Hallett-Mossop rime splintering, in the presence of surface buoyancy fluxes exceeding 250 <inline-formula><mml:math id="M434" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">W</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. In situ thermodynamic measurements confirm the synoptic pattern depicted by AROME-Arctic, supporting the inference that a cooling FT weakens the cloud-capping inversion, aiding the transition, as documented for warm-cloud transitions <xref ref-type="bibr" rid="bib1.bibx92" id="paren.87"/>. The observations are summarized by the schematic in Fig. <xref ref-type="fig" rid="F18"/>. Initially high CCN concentrations reduce the droplet diameters to  <inline-formula><mml:math id="M435" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M436" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> despite LWPs of 120 <inline-formula><mml:math id="M437" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. The riming efficiency is low, and SIP through freezing-induced-drop fragmentation is unlikely. <inline-formula><mml:math id="M438" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> remains mostly <inline-formula><mml:math id="M439" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M440" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">L</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, and ice precipitation rates are too low to generate surface-based cold pools. A sharp cloud-top temperature inversion (<inline-formula><mml:math id="M441" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> K) limits BL growth by entrainment, despite strong surface fluxes. These factors support the maintenance of closed-cell convection.</p>
      <p id="d2e7614">By the beginning of SL3, as precipitation removes aerosol from the BL, and FT entrainment dilutes the BL aerosol number concentration, cloud droplet sizes increase. This supports increased riming. After a period of rapid BL growth likely facilitated by cooling FT temperatures that weaken the cloud-top inversion, SIP becomes more pronounced, with <inline-formula><mml:math id="M442" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M443" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">L</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. Given the cloud temperatures, the SIP mechanisms are most likely freezing-induced-drop fragmentation and ice-on-ice collisional breakup <xref ref-type="bibr" rid="bib1.bibx50" id="paren.88"/>, aided by recirculation. A deeper BL paired with increased riming efficiency increases precipitation rates, falling into an increasingly subsaturated sub-cloud layer, supporting the formation of cold pools.</p>
      <p id="d2e7649">A strength of this study is the ability of the MARLi-derived measurements of sub-cloud thermodynamics and microwave-derived cloud liquid water paths <xref ref-type="bibr" rid="bib1.bibx25" id="paren.89"/> to align with aircraft-measured vertical velocities, thereby depicting the cloud interactions with its environment. The cold pools appear to dynamically organize the convection through surface wind convergence, facilitating the transition to open-cell convection. The cold pools encourage convection at their upwind side at the expense of the downwind side, in contrast to trade-wind cumulus cold pools <xref ref-type="bibr" rid="bib1.bibx130" id="paren.90"/>. However, the cold pools are weak and do not stabilize the sub-cloud air in the presence of the strong surface fluxes.</p>
      <p id="d2e7658">Our observations across the closed-to-open cell transition match some findings from <xref ref-type="bibr" rid="bib1.bibx1" id="text.91"/>, with both cases observing liquid-dominated closed-cells, ice-dominated open-cells with localized LWP peaks associated with updrafts, and a decrease in aerosol number concentrations across the transition. This is despite the <xref ref-type="bibr" rid="bib1.bibx1" id="text.92"/> case including warmer cloud tops of <inline-formula><mml:math id="M444" display="inline"><mml:mrow><mml:mi mathvariant="normal">−</mml:mi><mml:mn mathvariant="normal">14.5</mml:mn></mml:mrow></mml:math></inline-formula> °C and weaker surface fluxes. In our case study, SIP occurs with cloud base temperatures <inline-formula><mml:math id="M445" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula> °C, outside the Hallett-Mossop rime-splintering temperature regime. Ice-on-ice collisional breakup and freezing-induced-drop fragmentation are hypothesized to dominate the SIP processes active during RF02. These SIP processes also likely contribute to the total <inline-formula><mml:math id="M446" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> of the warmer <xref ref-type="bibr" rid="bib1.bibx1" id="text.93"/> case <xref ref-type="bibr" rid="bib1.bibx103 bib1.bibx44" id="paren.94"/>. A further distinction is that the BL during RF02 is much more polluted than that documented in <xref ref-type="bibr" rid="bib1.bibx1" id="text.95"/>, with aerosol concentrations of 650 cm<sup>−3</sup> before the transition. The reduction in the BL aerosol number concentration through cloud-top entrainment, facilitated by a weakening cloud-top temperature inversion, appears to be crucial for establishing the timing of the closed-to-open cell transition.</p>
      <p id="d2e7723">While we are not aware of significant caveats to this observational study, the representativeness of this case has not yet been established. Further modeling work will establish the relative impact of aerosols, thermodynamics, and SIP on the transition timing as well as distinguish the importance of the environmental controls from internal mechanisms.</p>
</sec>

      
      </body>
    <back><app-group>

<app id="App1.Ch1.S1">
  <label>Appendix A</label><title>Instrumentation</title>

<table-wrap id="TA1"><label>Table A1</label><caption><p id="d2e7742">Instrument description, specifics, parameters and details of interest.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="3">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Instrument</oasis:entry>
         <oasis:entry colname="col2">Description, Parameters, Details</oasis:entry>
         <oasis:entry colname="col3">DOI</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col3">NSF NCAR C-130 cloud in situ </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Fast Two-Dimensional Stereo Probe (F2DS)</oasis:entry>
         <oasis:entry colname="col2">particle img.; 10–1280 <inline-formula><mml:math id="M448" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>, 10 <inline-formula><mml:math id="M449" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> res.; <inline-formula><mml:math id="M450" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, IWC</oasis:entry>
         <oasis:entry colname="col3"><ext-link xlink:href="https://doi.org/10.26023/NFNP-51FQ-VX00" ext-link-type="DOI">10.26023/NFNP-51FQ-VX00</ext-link> <xref ref-type="bibr" rid="bib1.bibx121" id="paren.96"/></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Cloud Droplet Probe (CDP)</oasis:entry>
         <oasis:entry colname="col2">forward scat. probe; 2–50 <inline-formula><mml:math id="M451" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>, 2 <inline-formula><mml:math id="M452" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> res.; <inline-formula><mml:math id="M453" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, LWC, drop size dist.</oasis:entry>
         <oasis:entry colname="col3"><ext-link xlink:href="https://doi.org/10.26023/44NW-3RPN-ZF0B" ext-link-type="DOI">10.26023/44NW-3RPN-ZF0B</ext-link> <xref ref-type="bibr" rid="bib1.bibx73" id="paren.97"/></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">High Volume Precipitation Spectrometer (HVPS-3)</oasis:entry>
         <oasis:entry colname="col2">precip size dist./img.; 0.15–19.2 mm, 150 <inline-formula><mml:math id="M454" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> res.; <inline-formula><mml:math id="M455" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, IWC</oasis:entry>
         <oasis:entry colname="col3"><ext-link xlink:href="https://doi.org/10.26023/N2NM-4PQQ-7H0C" ext-link-type="DOI">10.26023/N2NM-4PQQ-7H0C</ext-link> <xref ref-type="bibr" rid="bib1.bibx120" id="paren.98"/></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">HOLODEC-II</oasis:entry>
         <oasis:entry colname="col2">particle holography; 12–200 <inline-formula><mml:math id="M456" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>, 15 cm<sup>3</sup> vol.; img.</oasis:entry>
         <oasis:entry colname="col3"><ext-link xlink:href="https://doi.org/10.26023/46A1-3CP5-T90J" ext-link-type="DOI">10.26023/46A1-3CP5-T90J</ext-link> <xref ref-type="bibr" rid="bib1.bibx3" id="paren.99"/></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col3">NSF NCAR C-130 aerosol in situ </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">CSU Continuous Flow Diffusion Chamber (CFDC)</oasis:entry>
         <oasis:entry colname="col2">ice nucleation; <inline-formula><mml:math id="M458" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>28 °C to <inline-formula><mml:math id="M459" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>26 °C inst. temp.; <inline-formula><mml:math id="M460" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">INP</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, 1–3 min ave.</oasis:entry>
         <oasis:entry colname="col3"><ext-link xlink:href="https://doi.org/10.26023/6DMM-FYWB-RN11" ext-link-type="DOI">10.26023/6DMM-FYWB-RN11</ext-link> <xref ref-type="bibr" rid="bib1.bibx80" id="paren.100"/></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">CSU Ice Nucleation Spectrometer (INS)</oasis:entry>
         <oasis:entry colname="col2">ice nucleation spectra; <inline-formula><mml:math id="M461" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">30</mml:mn></mml:mrow></mml:math></inline-formula> to <inline-formula><mml:math id="M462" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">12</mml:mn></mml:mrow></mml:math></inline-formula> °C instr. temps.; <inline-formula><mml:math id="M463" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">INP</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, leg ave.</oasis:entry>
         <oasis:entry colname="col3"><ext-link xlink:href="https://doi.org/10.26023/P9VX-CD1Y-4Z03" ext-link-type="DOI">10.26023/P9VX-CD1Y-4Z03</ext-link> <xref ref-type="bibr" rid="bib1.bibx79" id="paren.101"/></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Ultra-High Sensitivity Aerosol Spectrometer (UHSAS)</oasis:entry>
         <oasis:entry colname="col2">laser-based aerosol sizes; 0.06–1 <inline-formula><mml:math id="M464" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>; <inline-formula><mml:math id="M465" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, 10 % under-sizing</oasis:entry>
         <oasis:entry colname="col3"><ext-link xlink:href="https://doi.org/10.26023/5VK4-AJ5D-6Q14" ext-link-type="DOI">10.26023/5VK4-AJ5D-6Q14</ext-link> <xref ref-type="bibr" rid="bib1.bibx99" id="paren.102"/></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Mobility Particle Size Spectrometer (MPSS)</oasis:entry>
         <oasis:entry colname="col2">aerosol sizes; 0.01–0.175 <inline-formula><mml:math id="M466" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>; <inline-formula><mml:math id="M467" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, 1 min</oasis:entry>
         <oasis:entry colname="col3"><ext-link xlink:href="https://doi.org/10.26023/M31B-VN13-Q30X" ext-link-type="DOI">10.26023/M31B-VN13-Q30X</ext-link> <xref ref-type="bibr" rid="bib1.bibx82" id="paren.103"/></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Passive Cavity Aerosol Spectrometer Probe (PCASP)</oasis:entry>
         <oasis:entry colname="col2">aerosol sizes; 0.1–3 <inline-formula><mml:math id="M468" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>; <inline-formula><mml:math id="M469" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3"><ext-link xlink:href="https://doi.org/10.26023/44NW-3RPN-ZF0B" ext-link-type="DOI">10.26023/44NW-3RPN-ZF0B</ext-link> <xref ref-type="bibr" rid="bib1.bibx73" id="paren.104"/></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Wyoming Cloud Condensation Nuclei (W-CCN) counter</oasis:entry>
         <oasis:entry colname="col2">thermal gradient diffusion chamber; 0.4 % SS; <inline-formula><mml:math id="M470" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, 30 s</oasis:entry>
         <oasis:entry colname="col3"><ext-link xlink:href="https://doi.org/10.26023/66WG-GRGT-K30Z" ext-link-type="DOI">10.26023/66WG-GRGT-K30Z</ext-link> <xref ref-type="bibr" rid="bib1.bibx100" id="paren.105"/></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Single Particle Soot Photometer (SP2)</oasis:entry>
         <oasis:entry colname="col2">refractory black carbon; rBC mass conc.</oasis:entry>
         <oasis:entry colname="col3"><ext-link xlink:href="https://doi.org/10.26023/RWTP-W4E0-H30B" ext-link-type="DOI">10.26023/RWTP-W4E0-H30B</ext-link> <xref ref-type="bibr" rid="bib1.bibx83" id="paren.106"/></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col3">NSF NCAR C-130 gas in situ </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Picarro</oasis:entry>
         <oasis:entry colname="col2">trace gases; CO, <inline-formula><mml:math id="M471" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> conc.</oasis:entry>
         <oasis:entry colname="col3"><ext-link xlink:href="https://doi.org/10.26023/44NW-3RPN-ZF0B" ext-link-type="DOI">10.26023/44NW-3RPN-ZF0B</ext-link> <xref ref-type="bibr" rid="bib1.bibx73" id="paren.107"/></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Vertical Cavity Surface Emitting Laser (VCSEL)</oasis:entry>
         <oasis:entry colname="col2">open-path laser <inline-formula><mml:math id="M472" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> abs.; <inline-formula><mml:math id="M473" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> conc.</oasis:entry>
         <oasis:entry colname="col3"><ext-link xlink:href="https://doi.org/10.26023/44NW-3RPN-ZF0B" ext-link-type="DOI">10.26023/44NW-3RPN-ZF0B</ext-link> <xref ref-type="bibr" rid="bib1.bibx73" id="paren.108"/></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col3">NSF NCAR C-130 remote sensors </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Wyoming Cloud Radar (WCR)</oasis:entry>
         <oasis:entry colname="col2">up <inline-formula><mml:math id="M474" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> down <inline-formula><mml:math id="M475" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> slant, Doppler radar; 95 GHz; dBz, Doppler velocity</oasis:entry>
         <oasis:entry colname="col3"><ext-link xlink:href="https://doi.org/10.26023/T6HT-YS4S-YX0H" ext-link-type="DOI">10.26023/T6HT-YS4S-YX0H</ext-link> <xref ref-type="bibr" rid="bib1.bibx36" id="paren.109"/></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Wyoming Cloud Lidar (WCL)</oasis:entry>
         <oasis:entry colname="col2">up only, Doppler lidar; 355 nm, 3.75 m <inline-formula><mml:math id="M476" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>z</mml:mi></mml:mrow></mml:math></inline-formula>; depolarization, 1.5 s</oasis:entry>
         <oasis:entry colname="col3"><ext-link xlink:href="https://doi.org/10.26023/700K-PK3C-810A" ext-link-type="DOI">10.26023/700K-PK3C-810A</ext-link> <xref ref-type="bibr" rid="bib1.bibx22" id="paren.110"/></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Multi-function Airborne Raman Lidar (MARLi)</oasis:entry>
         <oasis:entry colname="col2">down only, Raman Lidar; 6 m <inline-formula><mml:math id="M477" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>z</mml:mi></mml:mrow></mml:math></inline-formula>; <inline-formula><mml:math id="M478" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula>, temperature</oasis:entry>
         <oasis:entry colname="col3"><ext-link xlink:href="https://doi.org/10.26023/GCWK-RWHV-3F0E" ext-link-type="DOI">10.26023/GCWK-RWHV-3F0E</ext-link> <xref ref-type="bibr" rid="bib1.bibx113" id="paren.111"/></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">G-band Vapor Radiometer (GVR)</oasis:entry>
         <oasis:entry colname="col2">up only, microwave radiometer; <inline-formula><mml:math id="M479" display="inline"><mml:mrow><mml:mn mathvariant="normal">183.31</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>, 3, 7, 14 GHz; LWP, <inline-formula><mml:math id="M480" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:math></inline-formula> s</oasis:entry>
         <oasis:entry colname="col3"><ext-link xlink:href="https://doi.org/10.26023/36JM-V39N-R408" ext-link-type="DOI">10.26023/36JM-V39N-R408</ext-link> <xref ref-type="bibr" rid="bib1.bibx24" id="paren.112"/></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Remote sensing merged value added product (VAP)</oasis:entry>
         <oasis:entry colname="col2">cloud base height, cloud-top height</oasis:entry>
         <oasis:entry colname="col3"><ext-link xlink:href="https://doi.org/10.26023/9SGP-MXGP-MA06" ext-link-type="DOI">10.26023/9SGP-MXGP-MA06</ext-link> <xref ref-type="bibr" rid="bib1.bibx37" id="paren.113"/></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col3">NSF NCAR C-130 state parameters </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Gust probe</oasis:entry>
         <oasis:entry colname="col2">forward radome port <inline-formula><mml:math id="M481" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>p</mml:mi></mml:mrow></mml:math></inline-formula>; Vertical winds</oasis:entry>
         <oasis:entry colname="col3"><ext-link xlink:href="https://doi.org/10.26023/X2W9-12BD-6C0S" ext-link-type="DOI">10.26023/X2W9-12BD-6C0S</ext-link> <xref ref-type="bibr" rid="bib1.bibx74" id="paren.114"/></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry namest="col1" nameend="col3">Villum Research Station </oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Scanning Mobility Particle Sizer (SMPS)</oasis:entry>
         <oasis:entry colname="col2">aerosol sizes; 0.009 <inline-formula><mml:math id="M482" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>–0.915 <inline-formula><mml:math id="M483" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>;  <inline-formula><mml:math id="M484" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, 5 min</oasis:entry>
         <oasis:entry colname="col3"><uri>https://doi.org/10.26023/1HV4-NCZ7-KJ08</uri> <xref ref-type="bibr" rid="bib1.bibx112" id="paren.115"/></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Droplet Measurement Technologies CCN (DMT-CCN)</oasis:entry>
         <oasis:entry colname="col2">0.1 %–0.7 % SS; <inline-formula><mml:math id="M485" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, 1 s</oasis:entry>
         <oasis:entry colname="col3"><uri>https://doi.org/10.26023/1HV4-NCZ7-KJ08</uri> <xref ref-type="bibr" rid="bib1.bibx112" id="paren.116"/></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Picarro</oasis:entry>
         <oasis:entry colname="col2">trace gases; <inline-formula><mml:math id="M486" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CH</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, CO conc.</oasis:entry>
         <oasis:entry colname="col3"><uri>https://doi.org/10.26023/1HV4-NCZ7-KJ08</uri> <xref ref-type="bibr" rid="bib1.bibx112" id="paren.117"/></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup>

</oasis:table></table-wrap>


</app>

<app id="App1.Ch1.S2">
  <label>Appendix B</label><title>Entrainment derivation for SL1</title>
      <p id="d2e8577">Leg mean entrainment velocities (<inline-formula><mml:math id="M487" display="inline"><mml:mrow><mml:msub><mml:mi>w</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) can be calculated with the following budget equation, derived from <xref ref-type="bibr" rid="bib1.bibx35" id="text.118"/> and <xref ref-type="bibr" rid="bib1.bibx45" id="text.119"/>:

          <disp-formula id="App1.Ch1.S2.E1" content-type="numbered"><label>B1</label><mml:math id="M488" display="block"><mml:mtable rowspacing="0.2ex" class="split" displaystyle="true" columnalign="right left"><mml:mtr><mml:mtd><mml:mrow><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>Q</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mo>(</mml:mo><mml:mover accent="true"><mml:mi>u</mml:mi><mml:mo mathvariant="normal">¯</mml:mo></mml:mover><mml:mo>-</mml:mo><mml:msub><mml:mover accent="true"><mml:mi>u</mml:mi><mml:mo mathvariant="normal">¯</mml:mo></mml:mover><mml:mi mathvariant="normal">plane</mml:mi></mml:msub><mml:mo>)</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>Q</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>x</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>-</mml:mo><mml:mo>(</mml:mo><mml:mover accent="true"><mml:mi>v</mml:mi><mml:mo mathvariant="normal">¯</mml:mo></mml:mover><mml:mo>)</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>Q</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>y</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>+</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi>w</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>Q</mml:mi><mml:mi mathvariant="normal">inv</mml:mi></mml:msub></mml:mrow><mml:mi>H</mml:mi></mml:mfrac></mml:mstyle></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd/><mml:mtd><mml:mrow><mml:mo>+</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi>v</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub><mml:mi>Q</mml:mi></mml:mrow><mml:mi>H</mml:mi></mml:mfrac></mml:mstyle><mml:mo>+</mml:mo><mml:msub><mml:mi>P</mml:mi><mml:mi mathvariant="normal">net</mml:mi></mml:msub><mml:mo>(</mml:mo><mml:mi>Q</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula>

        with the <inline-formula><mml:math id="M489" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula> direction defined to align with the orientation of each flight leg. <inline-formula><mml:math id="M490" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> is a tracer concentration (<inline-formula><mml:math id="M491" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> or CO), <inline-formula><mml:math id="M492" display="inline"><mml:mover accent="true"><mml:mi>u</mml:mi><mml:mo mathvariant="normal">¯</mml:mo></mml:mover></mml:math></inline-formula> and <inline-formula><mml:math id="M493" display="inline"><mml:mover accent="true"><mml:mi>v</mml:mi><mml:mo mathvariant="normal">¯</mml:mo></mml:mover></mml:math></inline-formula> are the mean along-track and cross-track wind velocities respectively, <inline-formula><mml:math id="M494" display="inline"><mml:mrow><mml:msub><mml:mover accent="true"><mml:mi>u</mml:mi><mml:mo mathvariant="normal">¯</mml:mo></mml:mover><mml:mi mathvariant="normal">plane</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the mean aircraft velocity, <inline-formula><mml:math id="M495" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>Q</mml:mi><mml:mi mathvariant="normal">inv</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the leg mean change in tracer concentration across the inversion, <inline-formula><mml:math id="M496" display="inline"><mml:mi>H</mml:mi></mml:math></inline-formula> is the leg mean boundary layer height, <inline-formula><mml:math id="M497" display="inline"><mml:mrow><mml:msub><mml:mi>v</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the deposition velocity, and <inline-formula><mml:math id="M498" display="inline"><mml:mrow><mml:msub><mml:mi>P</mml:mi><mml:mi mathvariant="normal">net</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is any source or sink of the tracer. Since variations in <inline-formula><mml:math id="M499" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> are assumed to be primarily a function of fetch, <inline-formula><mml:math id="M500" display="inline"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>Q</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>t</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:math></inline-formula> is assumed to be small. During SL1, since <inline-formula><mml:math id="M501" display="inline"><mml:mover accent="true"><mml:mi>v</mml:mi><mml:mo mathvariant="normal">¯</mml:mo></mml:mover></mml:math></inline-formula> is much smaller than <inline-formula><mml:math id="M502" display="inline"><mml:mrow><mml:mover accent="true"><mml:mi>u</mml:mi><mml:mo mathvariant="normal">¯</mml:mo></mml:mover><mml:mo>-</mml:mo><mml:msub><mml:mover accent="true"><mml:mi>u</mml:mi><mml:mo mathvariant="normal">¯</mml:mo></mml:mover><mml:mi mathvariant="normal">plane</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and the FT airmass boundary is located more than 50 km to the southeast (small <inline-formula><mml:math id="M503" display="inline"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>Q</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>y</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:math></inline-formula>), <inline-formula><mml:math id="M504" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:mover accent="true"><mml:mi>v</mml:mi><mml:mo mathvariant="normal">¯</mml:mo></mml:mover><mml:mo>)</mml:mo><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>Q</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>y</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mrow></mml:math></inline-formula> can also be ignored. Deposition and production of CO and <inline-formula><mml:math id="M505" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> are assumed to be negligible, simplifying to:

          <disp-formula id="App1.Ch1.S2.E2" content-type="numbered"><label>B2</label><mml:math id="M506" display="block"><mml:mrow><mml:mo>(</mml:mo><mml:mover accent="true"><mml:mi>u</mml:mi><mml:mo mathvariant="normal">¯</mml:mo></mml:mover><mml:mo>-</mml:mo><mml:msub><mml:mover accent="true"><mml:mi>u</mml:mi><mml:mo mathvariant="normal">¯</mml:mo></mml:mover><mml:mi mathvariant="normal">plane</mml:mi></mml:msub><mml:mo>)</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>Q</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>x</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi>w</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>Q</mml:mi><mml:mi mathvariant="normal">inv</mml:mi></mml:msub></mml:mrow><mml:mi>H</mml:mi></mml:mfrac></mml:mstyle></mml:mrow></mml:math></disp-formula>

        Flight-level CO concentrations decrease by 2.0 ppbv and <inline-formula><mml:math id="M507" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> increases by 1.6 ppbv over the 90 km fetch of SL1  (Fig. <xref ref-type="fig" rid="F13"/>j). <inline-formula><mml:math id="M508" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> (CO) concentrations averaged 25 to 125 m above the inversion are well constrained, only changing from 43 to 45 ppbv (138 to 137 ppbv) between the profiles at the beginning and end of SL1 (Fig. <xref ref-type="fig" rid="F8"/>a, b). The flight track is well-aligned with flight-level winds (flight-level along-track winds average 15.9 <inline-formula><mml:math id="M509" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> and cross-track winds average 0.4 <inline-formula><mml:math id="M510" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>), and we can evaluate if the change in flight-level CO and <inline-formula><mml:math id="M511" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> is consistent with entrainment. Modeled AROME-Arctic subsidence velocities (<inline-formula><mml:math id="M512" display="inline"><mml:mrow><mml:msub><mml:mi>w</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) average <inline-formula><mml:math id="M513" display="inline"><mml:mn mathvariant="normal">10.7</mml:mn></mml:math></inline-formula> <inline-formula><mml:math id="M514" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M515" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">200</mml:mn></mml:mrow></mml:math></inline-formula> m above cloud tops. Given the lack of boundary layer growth, <inline-formula><mml:math id="M516" display="inline"><mml:mrow><mml:msub><mml:mi>w</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> must balance the above-cloud large-scale vertical velocities, implying <inline-formula><mml:math id="M517" display="inline"><mml:mrow><mml:msub><mml:mi>w</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> averages to <inline-formula><mml:math id="M518" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">10.7</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M519" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, a similar magnitude to <xref ref-type="bibr" rid="bib1.bibx108" id="text.120"/>. This <inline-formula><mml:math id="M520" display="inline"><mml:mrow><mml:msub><mml:mi>w</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> value is unable to fully account for changes in tracer concentration: Equation (B2) with <inline-formula><mml:math id="M521" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> (CO) as a tracer produces <inline-formula><mml:math id="M522" display="inline"><mml:mrow><mml:msub><mml:mi>w</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> estimates of <inline-formula><mml:math id="M523" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M524" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M525" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">30</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M526" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>), or 3 to <inline-formula><mml:math id="M527" display="inline"><mml:mrow><mml:mn mathvariant="normal">6</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math></inline-formula> higher than that estimated based on the lack of BL growth. We do not have a clear explanation, but neglect of mesoscale gradients in <inline-formula><mml:math id="M528" display="inline"><mml:mi>Q</mml:mi></mml:math></inline-formula> will contribute: the back-trajectories to Villum reveal less CO within the SL3-originating air mass than with the SL1-originating air mass (Fig. <xref ref-type="fig" rid="F6"/>b). Another hypothesis is that the model-estimated large-scale subsidence is too weak, with the model also not able to produce enough boundary layer turbulence with which to balance the large-scale subsidence. This could also help explain why the modeled cloud tops are lower than those observed (Fig. <xref ref-type="fig" rid="F4"/>c). The proximity to a sharp FT airmass boundary along with the imperfect alignment of SL3 with the mean BL wind (cross-track wind velocities average 9.3 <inline-formula><mml:math id="M529" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) prohibits a quantification of <inline-formula><mml:math id="M530" display="inline"><mml:mrow><mml:msub><mml:mi>w</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>.</p>
      <p id="d2e9308">Probability density functions (PDFs) of vertical velocities from segments of SL1 and SL3 reveal a positively-skewed distribution of updraft velocities reaching 3 <inline-formula><mml:math id="M531" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> at times with mean vertical velocities between <inline-formula><mml:math id="M532" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.44</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M533" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.12 <inline-formula><mml:math id="M534" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="FC1"/>a), a similar magnitude to <inline-formula><mml:math id="M535" display="inline"><mml:mrow><mml:msub><mml:mi>w</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>. Such vertical velocity distributions, of narrow updrafts and broader downdrafts, are more typical of cumulus than stratocumulus <xref ref-type="bibr" rid="bib1.bibx129" id="paren.121"/>.</p>
</app>

<app id="App1.Ch1.S3">
  <label>Appendix C</label><title>Comparison of observed and modeled cloud droplet concentrations</title>
      <p id="d2e9387">Surprisingly large values of <inline-formula><mml:math id="M536" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M537" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, and <inline-formula><mml:math id="M538" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> motivated an investigation of aerosol activation during RF02 <xref ref-type="bibr" rid="bib1.bibx102" id="paren.122"/>. Aerosol measurements fitted to a three-mode function for the size distribution (Fig. <xref ref-type="fig" rid="F7"/>) were input into the Julia wrapper of the Pyrcel adiabatic parcel model <xref ref-type="bibr" rid="bib1.bibx90" id="paren.123"/> to calculate cloud droplet number concentration. The uncertainty in the three-mode aerosol fit is dominated by uncertainty in the MPSS number concentrations <xref ref-type="bibr" rid="bib1.bibx16 bib1.bibx59" id="paren.124"><named-content content-type="pre"><inline-formula><mml:math id="M539" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> %;</named-content></xref> and is propagated into Pyrcel. Calculated values of <inline-formula><mml:math id="M540" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> were obtained for a range of updraft speeds and hygroscopicity (<inline-formula><mml:math id="M541" display="inline"><mml:mi mathvariant="italic">κ</mml:mi></mml:math></inline-formula>) values <xref ref-type="bibr" rid="bib1.bibx84" id="paren.125"/>. Pyrcel is initialized at a temperature of <inline-formula><mml:math id="M542" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">14</mml:mn></mml:mrow></mml:math></inline-formula> °C and a pressure of 900 hPa, the approximate conditions at cloud base (CB), and the aerosol size distributions are multiplied by <inline-formula><mml:math id="M543" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">ρ</mml:mi><mml:mi mathvariant="normal">CB</mml:mi></mml:msub><mml:mo>/</mml:mo><mml:msub><mml:mi mathvariant="italic">ρ</mml:mi><mml:mi mathvariant="normal">STP</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> to convert them to the pressure and temperature at cloud base. The vapor accommodation coefficient (<inline-formula><mml:math id="M544" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula>) is set to 1. Figure <xref ref-type="fig" rid="FC1"/>a indicates the supersaturations corresponding to the vertical velocities and aerosol size distributions for the three flight segments.</p>

<table-wrap id="TC1" specific-use="star"><label>Table C1</label><caption><p id="d2e9508">Comparison of observed and modeled <inline-formula><mml:math id="M545" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> for <inline-formula><mml:math id="M546" display="inline"><mml:mrow><mml:mi mathvariant="italic">κ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M547" display="inline"><mml:mrow><mml:mi mathvariant="italic">κ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.8</mml:mn></mml:mrow></mml:math></inline-formula>. Uncertainty in the observed aerosol number size distribution is propagated into Pyrcel, yielding a range of modeled <inline-formula><mml:math id="M548" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> for each <inline-formula><mml:math id="M549" display="inline"><mml:mi mathvariant="italic">κ</mml:mi></mml:math></inline-formula>/leg. For SL1, there are two ranges of observed <inline-formula><mml:math id="M550" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> corresponding to the two profiles bounding SL1.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="4">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="left"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Leg</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M551" display="inline"><mml:mrow><mml:msup><mml:mi>w</mml:mi><mml:mo>*</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col3">Modeled <inline-formula><mml:math id="M552" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> at <inline-formula><mml:math id="M553" display="inline"><mml:mrow><mml:msup><mml:mi>w</mml:mi><mml:mo>*</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">Measured <inline-formula><mml:math id="M554" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> during</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">(m s<sup>−1</sup>)</oasis:entry>
         <oasis:entry colname="col3">(cm<sup>−3</sup>) at <inline-formula><mml:math id="M557" display="inline"><mml:mrow><mml:mi mathvariant="italic">κ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula>/<inline-formula><mml:math id="M558" display="inline"><mml:mrow><mml:mi mathvariant="italic">κ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.8</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col4">adjacent profiles (cm<sup>−3</sup>)</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">SL1: Closed-cells 13:44–13:58</oasis:entry>
         <oasis:entry colname="col2">0.77</oasis:entry>
         <oasis:entry colname="col3">323–464/358–511</oasis:entry>
         <oasis:entry colname="col4">488–732 &amp; 513–769</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">SL3: Closed-cells 15:22–15:32</oasis:entry>
         <oasis:entry colname="col2">0.68</oasis:entry>
         <oasis:entry colname="col3">196–281/209–302</oasis:entry>
         <oasis:entry colname="col4">242–362</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">SL3: Open-cells 15:43–15:53</oasis:entry>
         <oasis:entry colname="col2">0.70</oasis:entry>
         <oasis:entry colname="col3">60–90/63–94</oasis:entry>
         <oasis:entry colname="col4">26–38</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <fig id="FC1" specific-use="star"><label>Figure C1</label><caption><p id="d2e9772"><bold>(a)</bold> PDF of the observed flight-level (300 m) vertical velocities for each flight segment along with the corresponding modeled supersaturations (using three-mode fit from Fig. <xref ref-type="fig" rid="F7"/> and setting <inline-formula><mml:math id="M560" display="inline"><mml:mrow><mml:mi mathvariant="italic">κ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula>, a similar <inline-formula><mml:math id="M561" display="inline"><mml:mi mathvariant="italic">κ</mml:mi></mml:math></inline-formula> observed in <xref ref-type="bibr" rid="bib1.bibx118" id="altparen.126"/>) at different vertical velocities. <bold>(b)</bold> Modeled <inline-formula><mml:math id="M562" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (using three-mode fit from Fig. <xref ref-type="fig" rid="F7"/>) as a function of updraft velocity between <inline-formula><mml:math id="M563" display="inline"><mml:mrow><mml:mi mathvariant="italic">κ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M564" display="inline"><mml:mrow><mml:mi mathvariant="italic">κ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1.4</mml:mn></mml:mrow></mml:math></inline-formula>. Line color indicates fetch using the scale in Fig. <xref ref-type="fig" rid="F7"/>. Gray lines indicate the modeled <inline-formula><mml:math id="M565" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> at <inline-formula><mml:math id="M566" display="inline"><mml:mrow><mml:msup><mml:mi>w</mml:mi><mml:mo>*</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>. </p></caption>
        <graphic xlink:href="https://acp.copernicus.org/articles/26/15375/2026/acp-26-15375-2026-f19.png"/>

      </fig>

      <p id="d2e9874">The model-predicted <inline-formula><mml:math id="M567" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> quickly attain their maximum values for a given hygroscopicity parameter (<inline-formula><mml:math id="M568" display="inline"><mml:mi mathvariant="italic">κ</mml:mi></mml:math></inline-formula>) between 0.2 and 1.4 for each flight segment at updraft velocities of 1 m s<sup>−1</sup> (Fig. <xref ref-type="fig" rid="FC1"/>b). The characteristic updraft velocity (<inline-formula><mml:math id="M570" display="inline"><mml:mrow><mml:msup><mml:mi>w</mml:mi><mml:mo>*</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>)  is determined from <inline-formula><mml:math id="M571" display="inline"><mml:mrow><mml:msup><mml:mi>w</mml:mi><mml:mo>*</mml:mo></mml:msup><mml:mo>=</mml:mo><mml:msup><mml:mi mathvariant="italic">λ</mml:mi><mml:mo>*</mml:mo></mml:msup><mml:mi mathvariant="italic">σ</mml:mi></mml:mrow></mml:math></inline-formula>, where <inline-formula><mml:math id="M572" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">λ</mml:mi><mml:mo>*</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> is a characteristic non-dimensional velocity (set to 0.65) and <inline-formula><mml:math id="M573" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> is the standard deviation of <inline-formula><mml:math id="M574" display="inline"><mml:mi>w</mml:mi></mml:math></inline-formula> <xref ref-type="bibr" rid="bib1.bibx66" id="paren.127"/>. Table <xref ref-type="table" rid="TC1"/> compares model-predicted <inline-formula><mml:math id="M575" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (at <inline-formula><mml:math id="M576" display="inline"><mml:mrow><mml:msup><mml:mi>w</mml:mi><mml:mo>*</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>) between <inline-formula><mml:math id="M577" display="inline"><mml:mrow><mml:mi mathvariant="italic">κ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula> (the mean <inline-formula><mml:math id="M578" display="inline"><mml:mi mathvariant="italic">κ</mml:mi></mml:math></inline-formula> observed within MCAOs in <xref ref-type="bibr" rid="bib1.bibx118" id="text.128"/>) and <inline-formula><mml:math id="M579" display="inline"><mml:mrow><mml:mi mathvariant="italic">κ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.8</mml:mn></mml:mrow></mml:math></inline-formula> (the approximate <inline-formula><mml:math id="M580" display="inline"><mml:mi mathvariant="italic">κ</mml:mi></mml:math></inline-formula> of sulfate aerosols in <xref ref-type="bibr" rid="bib1.bibx84" id="altparen.129"/>) with observed <inline-formula><mml:math id="M581" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>. Uncertainty in observed <inline-formula><mml:math id="M582" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (assessed as <inline-formula><mml:math id="M583" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> %) can be caused by sizing uncertainty, particle coincidence (undercounting), and ice shattering <xref ref-type="bibr" rid="bib1.bibx7" id="paren.130"><named-content content-type="pre">overcounting;</named-content></xref>. The NCAR C-130 deployed a modified CDP with a pinhole to reduce coincidence errors <xref ref-type="bibr" rid="bib1.bibx51" id="paren.131"/> and shatter-reducing tips. Modeled <inline-formula><mml:math id="M584" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> during SL1 is 323–511 <inline-formula><mml:math id="M585" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, consistent with <inline-formula><mml:math id="M586" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> of 488–769 <inline-formula><mml:math id="M587" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> observed during the profiles bounding SL1. The modeled <inline-formula><mml:math id="M588" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> skews towards the lower end of observed <inline-formula><mml:math id="M589" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (Table <xref ref-type="table" rid="TC1"/>), for reasons that remain unclear to us. During the descent to SL3, measured <inline-formula><mml:math id="M590" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is 242–362 <inline-formula><mml:math id="M591" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> consistent with modeled <inline-formula><mml:math id="M592" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (196–302 <inline-formula><mml:math id="M593" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>; Table <xref ref-type="table" rid="TC1"/>).  Observed <inline-formula><mml:math id="M594" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (26–38 <inline-formula><mml:math id="M595" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) is notably lower than modeled <inline-formula><mml:math id="M596" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (60–94 <inline-formula><mml:math id="M597" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) towards the end of SL3 during open-cell convection (Table <xref ref-type="table" rid="TC1"/>). This disagreement is likely a consequence of the spatial mismatch between when the aerosols and <inline-formula><mml:math id="M598" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> were sampled. Entrainment can also reduce the measured <inline-formula><mml:math id="M599" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>.</p>
</app>

<app id="App1.Ch1.S4">
  <label>Appendix D</label><title>Do Aitken mode aerosols prolong the closed-cell convection?</title>
      <p id="d2e10291">The BL aerosol number size distribution at Villum includes only a weak Aitken mode (Fig. <xref ref-type="fig" rid="F7"/>). By the beginning of SL1, the initially clear-sky air mass has deepened and become cloud-filled, and the Aitken mode aerosol is much more clearly developed (Fig. <xref ref-type="fig" rid="F7"/>). The free troposphere is dominated by Aitken mode aerosols (Fig. <xref ref-type="fig" rid="F7"/>). The BL Aitken mode aerosol can therefore originate from marine emissions <xref ref-type="bibr" rid="bib1.bibx46" id="paren.132"/> and/or from cloud-top entrainment. Over the pristine Southern Oceans, FT Aitken mode aerosol, formed as new particles within the outflow of cyclones, contribute to the <inline-formula><mml:math id="M600" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> through activation after entrainment <xref ref-type="bibr" rid="bib1.bibx63" id="paren.133"/>. In contrast, within the more polluted MCAOs over the northwest Atlantic, entrainment from the free troposphere primarily dilutes the accumulation mode aerosol population, and the FT Aitken mode aerosol population contributes little to the <inline-formula><mml:math id="M601" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> <xref ref-type="bibr" rid="bib1.bibx108 bib1.bibx110" id="paren.134"/>. Here we provide a preliminary aerosol budget to assess the importance of the FT Aitken mode population to the high documented <inline-formula><mml:math id="M602" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> values.</p>
      <p id="d2e10343">The BL <inline-formula><mml:math id="M603" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">ait</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is 150 <inline-formula><mml:math id="M604" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> at the beginning of SL1, while the BL <inline-formula><mml:math id="M605" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">acc</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> reaches 500 <inline-formula><mml:math id="M606" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="F7"/>). Overall, <inline-formula><mml:math id="M607" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M608" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, and rBC  concentrations are higher in the BL than the FT (Figs. <xref ref-type="fig" rid="F7"/>, <xref ref-type="fig" rid="F8"/>). Assuming an entrainment velocity at the BL top of 10 <inline-formula><mml:math id="M609" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (see Appendix B) along with unvarying FT <inline-formula><mml:math id="M610" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">ait</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M611" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">acc</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, dilution by entrained FT air will decrease BL <inline-formula><mml:math id="M612" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">ait</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> during SL1 by 22 <inline-formula><mml:math id="M613" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">h</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, and <inline-formula><mml:math id="M614" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">acc</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> by 145 <inline-formula><mml:math id="M615" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">h</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. At the same time, the sea spray aerosol flux parameterization applied within <xref ref-type="bibr" rid="bib1.bibx125" id="text.135"/>, adapted from <xref ref-type="bibr" rid="bib1.bibx20" id="text.136"/>, estimates ocean fluxes of both <inline-formula><mml:math id="M616" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">ait</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M617" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">acc</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> during SL1 of approximately 3 <inline-formula><mml:math id="M618" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">h</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, given a satellite-retrieved 10 m wind speed of 13 <inline-formula><mml:math id="M619" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="F15"/>), dispersed through a 1230 m deep BL.</p>
      <p id="d2e10604">The robust updrafts can also activate the BL Aitken mode aerosol and transfer these to the larger accumulation mode aerosol centered at a diameter of 100 nm  (Fig. <xref ref-type="fig" rid="F7"/>). The Pyrcel activation model (see Appendix C) estimates 2 <inline-formula><mml:math id="M620" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> Aitken mode particles and 398 <inline-formula><mml:math id="M621" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> accumulation mode particles become activated throughout an eddy overturning timescale of 27 min (respective activation fractions of 2 % and 60 %), assuming a <inline-formula><mml:math id="M622" display="inline"><mml:mi mathvariant="italic">κ</mml:mi></mml:math></inline-formula> of 0.4 following <xref ref-type="bibr" rid="bib1.bibx118" id="text.137"/> and a characteristic vertical velocity of <inline-formula><mml:math id="M623" display="inline"><mml:mrow><mml:msup><mml:mi>w</mml:mi><mml:mo>*</mml:mo></mml:msup><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.77</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M624" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> for SL1. This transfer corresponds to a rate of 5 <inline-formula><mml:math id="M625" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">h</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. The combination of these three processes decreases <inline-formula><mml:math id="M626" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">ait</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> at a rate of 24 <inline-formula><mml:math id="M627" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">h</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> during SL1.</p>
      <p id="d2e10737">The distance from the midpoint of the SL1 aerosol segment (km 55) to the midpoint of the first SL3 aerosol segment (km 263) is 208 km (Fig. <xref ref-type="fig" rid="F1"/>). Cloud-level winds range from 13–15 <inline-formula><mml:math id="M628" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, decreasing with distance. Assuming stationarity, the distance corresponds to 4–5 h of travel by the cloudy air mass. Over that time period, assuming the <inline-formula><mml:math id="M629" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">ait</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> net loss remains steady, the estimated <inline-formula><mml:math id="M630" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">ait</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> decreases by 96–120 <inline-formula><mml:math id="M631" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. This is higher than an observed decrease of 50 <inline-formula><mml:math id="M632" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="F7"/>). Loss of Aitken mode aerosol through wet scavenging is not considered, and the assumption of stationarity may be incorrect. Nevertheless, this assessment suggests the closed-cell convection is primarily maintained by the high concentrations of BL accumulation mode aerosol, similar to the northwest Atlantic <xref ref-type="bibr" rid="bib1.bibx110" id="paren.138"/>. While Aitken mode aerosol by themselves can contribute to the observed <inline-formula><mml:math id="M633" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> during SL1, the entrainment that brings Aitken mode aerosol into the BL is more effective at diluting the more-influential accumulation mode aerosol. The BL <inline-formula><mml:math id="M634" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">ait</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> decreases significantly along SL3 (Fig. <xref ref-type="fig" rid="F7"/>), and  entrainment of FT Aitken mode particles may become a source and help buffer the BL Aitken mode particle population. FT and BL aerosol number concentrations are not as well constrained during SL3, however, due to the proximity to a FT airmass boundary to the south (Fig. <xref ref-type="fig" rid="F4"/>a, b). While the closed-cell convection is likely primarily maintained by the high concentrations of BL accumulation mode aerosol, further modeling work is needed to assess the contribution of FT Aitken mode aerosol for the transition taking place later <xref ref-type="bibr" rid="bib1.bibx125" id="paren.139"><named-content content-type="pre">e.g.,</named-content></xref>.</p>
</app>
  </app-group><notes notes-type="codedataavailability"><title>Code and data availability</title>

      <p id="d2e10852">Datasets of the NSF-supported CAESAR campaign are publicly available through the National Center of Atmospheric Research Earth Observing Laboratory (Table A1). GEOS-CF model output was accessed through the NASA Center for Climate Simulation (NCCS) data portal (<uri>https://portal.nccs.nasa.gov/datashare/gmao/geos-cf/</uri>, last access: 18 February 2026). AROME-Arctic model runs and satellite imagery were accessed through the Norwegian Meteorological Institute THREDDS server (<uri>https://thredds.met.no/thredds/catalog/aromearcticarchive/catalog.html</uri>, last access: 22 October 2024, <uri>https://thredds.met.no/thredds/catalog/remotesensingsatellite/polar-swath/2024/catalog.html</uri>, last access: 28 May 2025). ERA5 data was accessed through the NSF-NCAR Geoscience Data Exchange (GDEX) (<ext-link xlink:href="https://doi.org/10.5065/BH6N-5N20" ext-link-type="DOI">10.5065/BH6N-5N20</ext-link>; <xref ref-type="bibr" rid="bib1.bibx26" id="altparen.140"/>). All FLEXPART products can be found in <uri>https://atmo-access.nilu.no/CAESAR.py</uri> (last access: 7 November 2025) and <uri>https://atmo-access.nilu.no/CAESAR_landuse.py</uri> (last access: 7 November 2025). Documentation for the Pyrcel adiabatic cloud parcel model can be found in <uri>https://github.com/mdp-aerosol-group/Pyrcel.jl</uri> <xref ref-type="bibr" rid="bib1.bibx81" id="paren.141"/>.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d2e10883">The supplement related to this article is available online at <inline-supplementary-material xlink:href="https://doi.org/10.5194/acp-26-15375-2026-supplement" xlink:title="pdf">https://doi.org/10.5194/acp-26-15375-2026-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d2e10892">SH provided the Villum CCN measurements, with the CCN data processing done by RF under the supervision of AN. LLS provided the Villum <inline-formula><mml:math id="M635" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CH</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> measurements and HS the CO measurements. AM and VK provided the Villum SMPS measurements. LZ facilitated the data sharing represented in Fig. <xref ref-type="fig" rid="F6"/>. HS is the head of the Villum Research Station. The FLEXPART simulations were performed by NE and SE. AB, SW, GM, ER, and JF the CAESAR microphysical data and analysis; LC, MP and JS the CAESAR aerosol measurements, with FT also assisting in the analysis; RP, KB, CM, RP the CAESAR INP measurements; OC, BG, CG and ZW the CAESAR remote sensing measurements; TC the CAESAR water vapor and trace gas measurements; GN the AROME-Arctic model output; and TT the HYSPLIT back-trajectories. SE and PZ designed the study with SE leading the analysis and writing. PZ, MP, ER, JS, ZW, GM contributed to the writing, this was reviewed by all the authors.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d2e10911">At least one of the (co-)authors is a member of the editorial board of <italic>Atmospheric Chemistry and Physics</italic>. The peer-review process was guided by an independent editor, and the authors also have no other competing interests to declare.</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <p id="d2e10920">Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. The authors bear the ultimate responsibility for providing appropriate place names. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.</p>
  </notes><ack><title>Acknowledgements</title><p id="d2e10926">We thank NCAR RAF and NSF for their dedication and commitment to the CAESAR project. All analysis was run on the Derecho NSF NCAR High-Performance Computer <xref ref-type="bibr" rid="bib1.bibx21" id="paren.142"/>. The FLEXPART computations/simulations were performed on resources provided by Sigma2 – the National Infrastructure for High Performance Computing and Data Storage in Norway. We also gratefully acknowledge the helpful comments from two anonymous reviewers.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d2e10934">Samuel Ephraim and Paquita Zuidema gratefully acknowledge financial support through NSF AGS (award no. 2150848). Bart Geerts and Jeffrey R. French thank NSF AGS (award no. 2151329). Lintong Cai and Markus Petters were supported by the NSF AGS (award no. 2412409). Greg M. McFarquhar acknowledges financial support through NSF AGS (award no. 2150774). Zhien Wang acknowledges financial support through NSF AGS (award no. 2151075). Jefferson R. Snider was supported by the NSF AGS (award no. 2150812). Russell Perkins, Kevin Barry, Camille Mavis, and Ryan Patnaude were supported by NSF AGS (award no. 2150040). The FLEXPART model simulations are provided within project “Solutions for Sustainable Access to Atmospheric Research Facilities” (ATMO-ACCESS), supported by funding to Sabine Eckhardt and Nikolaos Evangeliou under the EU Horizon 2020 Research and Innovation Programme (grant no. 101008004).</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d2e10940">This paper was edited by Anna Possner and reviewed by two anonymous referees.</p>
  </notes><ref-list>
    <title>References</title>

      <ref id="bib1.bibx1"><label>Abel et al.(2017)</label><mixed-citation>Abel, S. J., Boutle, I. A., Waite, K., Fox, S., Brown, P. R. A., Cotton, R., Lloyd, G., Choularton, T. W., and Bower, K. N.: The role of precipitation in controlling the transition from stratocumulus to cumulus clouds in a northern hemisphere cold-air outbreak, J. Atmos. Sci., 74, 2293–2314, <ext-link xlink:href="https://doi.org/10.1175/JAS-D-16-0362.1" ext-link-type="DOI">10.1175/JAS-D-16-0362.1</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx2"><label>Albrecht et al.(1995)</label><mixed-citation>Albrecht, B. A., Bretherton, C., Johnson, D., Scubert, W., and Frisch, A. S.: The Atlantic Stratocumulus Transition Experiment – ASTEX, B. Am. Meteorol. Soc., 76, 889–904, <ext-link xlink:href="https://doi.org/10.1175/1520-0477(1995)076&lt;0889:TASTE&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0477(1995)076&lt;0889:TASTE&gt;2.0.CO;2</ext-link>, 1995.</mixed-citation></ref>
      <ref id="bib1.bibx3"><label>Bansemer et al.(2025)</label><mixed-citation>Bansemer, A., Woods, S., Spuler, S., and Stillwell, R.: CAESAR: HOLODEC-II Data and Imagery. Version 1.0, NSF NCAR Earth Observing Laboratory [data set], <ext-link xlink:href="https://doi.org/10.26023/46A1-3CP5-T90J" ext-link-type="DOI">10.26023/46A1-3CP5-T90J</ext-link>, 2025.</mixed-citation></ref>
      <ref id="bib1.bibx4"><label>Barnes and Garstang(1982)</label><mixed-citation> Barnes, G. M. and Garstang, M.: Subcloud layer energetics of precipitating convection, Mon. Weather Rev., 110, 102–117, 1982.</mixed-citation></ref>
      <ref id="bib1.bibx5"><label>Barry et al.(2021)</label><mixed-citation>Barry, K. R., Hill, T. C. J., Levin, E. J. T., Twohy, C. H., Moore, K. A., Weller, Z. D., Toohey, D. W., Reeves, M., Campos, T., Geiss, R., Schill, G. P., Fischer, E. V., Kreidenweis, S. M., and DeMott, P. J.: Observations of ice nucleating particles in the free troposphere from western US wildfires, J. Geophys. Res.-Atmos., 126, e2020JD033752, <ext-link xlink:href="https://doi.org/10.1029/2020JD033752" ext-link-type="DOI">10.1029/2020JD033752</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bibx6"><label>Bauduin et al.(2014)</label><mixed-citation>Bauduin, S., Clarisse, L., Clerbaux, C., Hurtmans, D., and Coheur, P.-F.: IASI observations of sulfur dioxide (SO2) in the boundary layer of Norilsk, J. Geophys. Res.-Atmos., 119, 4253–4263, <ext-link xlink:href="https://doi.org/10.1002/2013JD021405" ext-link-type="DOI">10.1002/2013JD021405</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx7"><label>Baumgardner et al.(2017)</label><mixed-citation>Baumgardner, D., Abel, S. J., Axisa, D., Cotton, R., Crosier, J., Field, P., Gurganus, C., Heymsfield, A., Korolev, A., Krämer, M., Lawson, P., McFarquhar, G., Ulanowski, Z., and Um, J.: Cloud ice properties: In situ measurement challenges, Meteorol. Monogr., 58, 9.1–9.23, <ext-link xlink:href="https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0011.1" ext-link-type="DOI">10.1175/AMSMONOGRAPHS-D-16-0011.1</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx8"><label>Bergeron(1935)</label><mixed-citation> Bergeron, T.: On the physics of clouds and precipitation, Proc. 5th Assembly U.G.G.I., Lisbon, 2, 156–175, 1935.</mixed-citation></ref>
      <ref id="bib1.bibx9"><label>Biggart et al.(2026)</label><mixed-citation>Biggart, M., Choularton, T. W., Gallagher, M. W., Bower, K. N., Lloyd, G., Connolly, P. J., Murray, B. J., Tarn, M. D., Raif, E. N., and Abel, S. J.: Secondary ice production within shallow, mixed-phase clouds in cold air outbreaks over the Labrador Sea, Atmos. Chem. Phys., 26, 13401–13439, <ext-link xlink:href="https://doi.org/10.5194/acp-26-13401-2026" ext-link-type="DOI">10.5194/acp-26-13401-2026</ext-link>, 2026.</mixed-citation></ref>
      <ref id="bib1.bibx10"><label>Bossioli et al.(2025)</label><mixed-citation>Bossioli, E., Sotiropoulou, G., Karalis, M., and Abel, S. J.: A stratocumulus to cumulus transition during a cold-air outbreak: The role of aerosols, Atmos. Res., 325, 108211, <ext-link xlink:href="https://doi.org/10.1016/j.atmosres.2025.108211" ext-link-type="DOI">10.1016/j.atmosres.2025.108211</ext-link>, 2025.</mixed-citation></ref>
      <ref id="bib1.bibx11"><label>Boyer et al.(2023)</label><mixed-citation>Boyer, M., Aliaga, D., Pernov, J. B., Angot, H., Quéléver, L. L. J., Dada, L., Heutte, B., Dall'Osto, M., Beddows, D. C. S., Brasseur, Z., Beck, I., Bucci, S., Duetsch, M., Stohl, A., Laurila, T., Asmi, E., Massling, A., Thomas, D. C., Nøjgaard, J. K., Chan, T., Sharma, S., Tunved, P., Krejci, R., Hansson, H. C., Bianchi, F., Lehtipalo, K., Wiedensohler, A., Weinhold, K., Kulmala, M., Petäjä, T., Sipilä, M., Schmale, J., and Jokinen, T.: A full year of aerosol size distribution data from the central Arctic under an extreme positive Arctic Oscillation: insights from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition, Atmos. Chem. Phys., 23, 389–415, <ext-link xlink:href="https://doi.org/10.5194/acp-23-389-2023" ext-link-type="DOI">10.5194/acp-23-389-2023</ext-link>, 2023.</mixed-citation></ref>
      <ref id="bib1.bibx12"><label>Bozem et al.(2019)</label><mixed-citation>Bozem, H., Hoor, P., Kunkel, D., Köllner, F., Schneider, J., Herber, A., Schulz, H., Leaitch, W. R., Aliabadi, A. A., Willis, M. D., Burkart, J., and Abbatt, J. P. D.: Characterization of transport regimes and the polar dome during Arctic spring and summer using in situ aircraft measurements, Atmos. Chem. Phys., 19, 15049–15071, <ext-link xlink:href="https://doi.org/10.5194/acp-19-15049-2019" ext-link-type="DOI">10.5194/acp-19-15049-2019</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx13"><label>Brown and Francis(1995)</label><mixed-citation>Brown, P. and Francis, P.: Improved measurements of the ice water content in cirrus using a total-water probe, J. Atmos. Ocean. Tech., 12, 410–414, <ext-link xlink:href="https://doi.org/10.1175/1520-0426(1995)012&lt;0410:IMOTIW&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0426(1995)012&lt;0410:IMOTIW&gt;2.0.CO;2</ext-link>, 1995.</mixed-citation></ref>
      <ref id="bib1.bibx14"><label>Brümmer and Pohlmann(2000)</label><mixed-citation>Brümmer, B. and Pohlmann, S.: Wintertime roll and cell convection over Greenland and Barents Sea regions: A climatology, J. Geophys. Res.-Atmos., 105, 15559–15566, <ext-link xlink:href="https://doi.org/10.1029/1999JD900841" ext-link-type="DOI">10.1029/1999JD900841</ext-link>, 2000.</mixed-citation></ref>
      <ref id="bib1.bibx15"><label>Burford and Stewart(1998)</label><mixed-citation>Burford, J. E. and Stewart, R. E.: The sublimation of falling snow over the Mackenzie River Basin, Atmos. Res., 49, 289–313, <ext-link xlink:href="https://doi.org/10.1016/S0169-8095(98)00084-2" ext-link-type="DOI">10.1016/S0169-8095(98)00084-2</ext-link>, 1998.</mixed-citation></ref>
      <ref id="bib1.bibx16"><label>Cai et al.(2026)</label><mixed-citation>Cai, L., Mahant, S., Weissburg, E., Robertson, A. M., Snider, J. R., and Petters, M. D.: Observed aerosol properties and aerosol forecast evaluation in the Arctic region during cold air outbreaks, Atmos. Res., 335, 108781, <ext-link xlink:href="https://doi.org/10.1016/j.atmosres.2026.108781" ext-link-type="DOI">10.1016/j.atmosres.2026.108781</ext-link>, 2026.</mixed-citation></ref>
      <ref id="bib1.bibx17"><label>Chandra et al.(2018)</label><mixed-citation>Chandra, A., Zuidema, P., Krueger, S., Kochanski, A., de Szoeke, S., and Zhang, J.: Moisture distributions in tropical cold pools from equatorial Indian Ocean observations and cloud-resolving simulations, J. Geophys. Res.-Atmos., 123, 11445–11465, <ext-link xlink:href="https://doi.org/10.1029/2018JD028867" ext-link-type="DOI">10.1029/2018JD028867</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bibx18"><label>Chellappan et al.(2024)</label><mixed-citation>Chellappan, S., Zuidema, P., Kirschler, S., Voigt, C., Cairns, B., Crosbie, E. C., Ferrare, R., Hair, J., Painemal, D., Shingler, T., Shook, M., Thornhill, K. L., Tornow, F., and Sorooshian, A.: Microphysical evolution in mixed-phase midlatitude marine cold-air outbreaks, J. Atmos. Sci., 81, 1725–1747, <ext-link xlink:href="https://doi.org/10.1175/JAS-D-23-0203.1" ext-link-type="DOI">10.1175/JAS-D-23-0203.1</ext-link>, 2024.</mixed-citation></ref>
      <ref id="bib1.bibx19"><label>Chellini and Kneifel(2024)</label><mixed-citation>Chellini, G. and Kneifel, S.: Turbulence as a key driver of ice aggregation and riming in Arctic low-level mixed-phase clouds, revealed by long-term cloud radar observations, Geophys. Res. Lett., 51, e2023GL106599, <ext-link xlink:href="https://doi.org/10.1029/2023GL106599" ext-link-type="DOI">10.1029/2023GL106599</ext-link>, 2024.</mixed-citation></ref>
      <ref id="bib1.bibx20"><label>Clarke et al.(2006)</label><mixed-citation>Clarke, A. D., Owens, S. R., and Zhou, J.: An ultrafine sea-salt flux from breaking waves: Implications for cloud condenstation nuclei in the remote marine atmosphere, J. Geophys. Res.-Atmos., 111, 1–14, <ext-link xlink:href="https://doi.org/10.1029/2005/JD006565" ext-link-type="DOI">10.1029/2005/JD006565</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bibx21"><label>Computational and Information Systems Laboratory(2025)</label><mixed-citation>Computational and Information Systems Laboratory: Derecho: HPE Cray EX System (University Community Computing), Boulder, CO, NSF National Center for Atmospheric Research [data set], <ext-link xlink:href="https://doi.org/10.5065/qx9a-pg09" ext-link-type="DOI">10.5065/qx9a-pg09</ext-link>, 2025.</mixed-citation></ref>
      <ref id="bib1.bibx22"><label>Cruikshank et al.(2025)</label><mixed-citation>Cruikshank, O., Beamesderfer, E., Burkhart, M., Kille, N., and Robertson, A.: CAESAR: Wyoming Cloud Lidar (WCL) Level-1 Data and Imagery. Version 1.0, NSF NCAR Earth Observing Laboratory [data set], <ext-link xlink:href="https://doi.org/10.26023/700K-PK3C-810A" ext-link-type="DOI">10.26023/700K-PK3C-810A</ext-link>, 2025.</mixed-citation></ref>
      <ref id="bib1.bibx23"><label>DeMott et al.(2025)</label><mixed-citation>DeMott, P. J., Swanson, B., Creamean, J., Tobo, Y., Hill, T., Barry, K., Beck, I. F., Frietas, G. P., Heslin-Rees, D., Lackner, C. P., Schmale, J., Krejci, R., Zieger, P., Geerts, B., and Kreidenweis, S. M.: Ice nucleating particle sources and transports between the Central and Southern Arctic regions during winter cold air outbreaks, Elementa Science of the Anthropocene, 13, <ext-link xlink:href="https://doi.org/10.1525/elementa.2024.00063" ext-link-type="DOI">10.1525/elementa.2024.00063</ext-link>, 2025.</mixed-citation></ref>
      <ref id="bib1.bibx24"><label>Ephraim and Zuidema(2025)</label><mixed-citation>Ephraim, S. and Zuidema, P.: CAESAR: GVR Data and Associated Retrievals. Version 2.0, NSF NCAR Earth Observing Laboratory [data set], <ext-link xlink:href="https://doi.org/10.26023/36JM-V39N-R408" ext-link-type="DOI">10.26023/36JM-V39N-R408</ext-link>, 2025.</mixed-citation></ref>
      <ref id="bib1.bibx25"><label>Ephraim et al.(2025)</label><mixed-citation>Ephraim, S., Zuidema, P., Juliano, T. W., Grasmick, C., Cadeddu, M., Geerts, B., French, J., Pazmany, A., and Woods, S.: A new machine learning retrieval of liquid water path optimized for mixed-phase cold air outbreaks using radiometer and radar observations, J. Atmos. Ocean. Tech., 42, 1299–1316, <ext-link xlink:href="https://doi.org/10.1175/JTECH-D-24-0132.1" ext-link-type="DOI">10.1175/JTECH-D-24-0132.1</ext-link>, 2025.</mixed-citation></ref>
      <ref id="bib1.bibx26"><label>European Centre for Medium-Range Weather Forecasts(2019)</label><mixed-citation>European Centre for Medium-Range Weather Forecasts: ERA5 Reanalysis (0.25 Degree Latitude-Longitude Grid), NSF National Center for Atmospheric Research [data set], <ext-link xlink:href="https://doi.org/10.5065/BH6N-5N20" ext-link-type="DOI">10.5065/BH6N-5N20</ext-link> (last access: 4 September 2026), updated monthly, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx27"><label>Feingold et al.(1996)</label><mixed-citation>Feingold, G., Stevens, B., Cotton, W. R., and Frisch, A. S.: The relationship between drop in-cloud residence time and drizzle production in numerically simulated stratocumulus clouds, J. Atmos. Sci., 53, 1108–1122, <ext-link xlink:href="https://doi.org/10.1175/1520-0469(1996)053&lt;1108:TRBDIC&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0469(1996)053&lt;1108:TRBDIC&gt;2.0.CO;2</ext-link>, 1996.</mixed-citation></ref>
      <ref id="bib1.bibx28"><label>Field et al.(2006)</label><mixed-citation>Field, P. R., Heymsfield, A. J., and Bansemer, A.: Shattering and particle interarrival times measured by optical array probes in ice clouds, J. Atmos. Ocean. Tech., 23, 1357–1371, <ext-link xlink:href="https://doi.org/10.1175/JTECH1922.1" ext-link-type="DOI">10.1175/JTECH1922.1</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bibx29"><label>Field et al.(2017)</label><mixed-citation>Field, P. R., Broz̆ková, R., Chen, M., Dudhia, J., Lac, C., Hara, T., Honnert, R., Olson, J., Siebesma, P., de Roode, S., Tomassini, L., Hill, A., and McTaggart-Cowan, R.: Exploring the convective grey zone with regional simulations of a cold air outbreak, Q. J. Roy. Meteor. Soc., 143, 2537–2555, <ext-link xlink:href="https://doi.org/10.1002/qj.3105" ext-link-type="DOI">10.1002/qj.3105</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx30"><label>Findeisen(1938)</label><mixed-citation> Findeisen, W.: Die kolloidmeteorologischen Vorgänge bei der Niederschlagsbildung, Meteorol. Z., 55, 121–133, 1938.</mixed-citation></ref>
      <ref id="bib1.bibx31"><label>Fletcher et al.(2016)</label><mixed-citation>Fletcher, J. K., Mason, S., and Jakob, C.: A climatology of clouds in marine cold air outbreaks in both hemispheres, J. Climate, 29, 6677–6692, <ext-link xlink:href="https://doi.org/10.1175/JCLI-D-15-0783.1" ext-link-type="DOI">10.1175/JCLI-D-15-0783.1</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx32"><label>Fuller et al.(2023)</label><mixed-citation>Fuller, S., Marlow, S. A., Haimov, S., Burkhart, M., Shaffer, K., Morgan, A., and Snider, J. R.: W-band S–Z relationships for rimed snow particles: observational evidence from combined airborne and ground-based observations, Atmos. Meas. Tech., 16, 6123–6142, <ext-link xlink:href="https://doi.org/10.5194/amt-16-6123-2023" ext-link-type="DOI">10.5194/amt-16-6123-2023</ext-link>, 2023.</mixed-citation></ref>
      <ref id="bib1.bibx33"><label>Geerts et al.(2022)</label><mixed-citation>Geerts, B., Giangrande, S. E., McFarquhar, G. M., Xue, L., Abel, S. J., Comstock, J. M., Crewell, S., DeMott, P. J., Ebell, K., Field, P., Hill, T. C. J., Hunzinger, A., Jensen, M. P., Johnson, K. L., Juliano, T. W., Kollias, P., Kosovic, B., Lackner, C., Luke, E., Lüpkes, C., Matthews, A. A., Neggers, R., Ovchinnikov, M., Powers, H., Shupe, M. D., Spengler, T., Swanson, B. E., Tjernström, M., Theisen, A. K., Wales, N. A., Wang, Y., Wendisch, M., and Wu, P.: The COMBLE campaign: A study of marine boundary layer clouds in arctic cold-air outbreaks, B. Am. Meteorol. Soc., 103, E1371–E1389, <ext-link xlink:href="https://doi.org/10.1175/BAMS-D-21-0044.1" ext-link-type="DOI">10.1175/BAMS-D-21-0044.1</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bibx34"><label>Gentine et al.(2016)</label><mixed-citation>Gentine, P., Garelli, A., Park, S.-B., Nie, J., Torri, G., and Kuang, Z.: Role of surface heat fluxes underneath cold pools, Geophys. Res. Lett., 43, 874–883, <ext-link xlink:href="https://doi.org/10.1002/2015GL067262" ext-link-type="DOI">10.1002/2015GL067262</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx35"><label>Ghate et al.(2019)</label><mixed-citation>Ghate, V. P., Mechem, D. B., Cadeddu, M. P., Eloranta, E. W., Jensen, M. P., Nordeen, M. L., and Smith Jr., W. L.: Estimates of entrainment in closed cellular marine stratocumulus clouds from the MAGIC field campaign, Q. J. Roy. Meteor. Soc., 145, 1589–1602, <ext-link xlink:href="https://doi.org/10.1002/qj.3514" ext-link-type="DOI">10.1002/qj.3514</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx36"><label>Grasmick et al.(2024)</label><mixed-citation>Grasmick, C., Majewksi, A., Haimov, S., and Geerts, B.: CAESAR: Wyoming Cloud Radar (WCR) Level-2 Data. Version 1.0, NSF NCAR Earth Observing Laboratory [data set], <ext-link xlink:href="https://doi.org/10.26023/T6HT-YS4S-YX0H" ext-link-type="DOI">10.26023/T6HT-YS4S-YX0H</ext-link>, 2024.</mixed-citation></ref>
      <ref id="bib1.bibx37"><label>Grasmick et al.(2026)</label><mixed-citation>Grasmick, C., Cruikshank, O., Wang, Z., Ephraim, S., and Zuidema, P.: CAESAR: Gridded Remote Sensing Data and Value Added Products. Version 1.0, NSF NCAR Earth Observing Laboratory [data set], <ext-link xlink:href="https://doi.org/10.26023/9SGP-MXGP-MA06" ext-link-type="DOI">10.26023/9SGP-MXGP-MA06</ext-link>, 2026.</mixed-citation></ref>
      <ref id="bib1.bibx38"><label>Gryspeerdt et al.(2019)</label><mixed-citation>Gryspeerdt, E., Smith, T. W. P., O'Keeffe, E., Christensen, M. W., and Goldsworth, F. W.: The impact of ship emission controls recorded by cloud properties, Geophys. Res. Lett., 46, 12547–12555, <ext-link xlink:href="https://doi.org/10.1029/2019GL084700" ext-link-type="DOI">10.1029/2019GL084700</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx39"><label>Hallett and Mossop(1974)</label><mixed-citation>Hallett, J. and Mossop, S. C.: Production of secondary ice particles during the riming process, Nature, 249, 26–28, <ext-link xlink:href="https://doi.org/10.1038/249026a0" ext-link-type="DOI">10.1038/249026a0</ext-link>, 1974.</mixed-citation></ref>
      <ref id="bib1.bibx40"><label>Hersbach et al.(2020)</label><mixed-citation>Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5 global reanalysis, Q. J. Roy. Meteor. Soc., 146, 1999–2049, <ext-link xlink:href="https://doi.org/10.1002/qj.3803" ext-link-type="DOI">10.1002/qj.3803</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx41"><label>Hill et al.(2016)</label><mixed-citation>Hill, T. C. J., DeMott, P. J., Tobo, Y., Fröhlich-Nowoisky, J., Moffett, B. F., Franc, G. D., and Kreidenweis, S. M.: Sources of organic ice nucleating particles in soils, Atmos. Chem. Phys., 16, 7195–7211, <ext-link xlink:href="https://doi.org/10.5194/acp-16-7195-2016" ext-link-type="DOI">10.5194/acp-16-7195-2016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx42"><label>Juliano et al.(2024)</label><mixed-citation>Juliano, T. W., Lackner, C. P., Geerts, B., Kosović, B., Xue, L., Wu, P., and Olson, J. P.: Simulating mixed‐phase open cellular clouds observed during COMBLE: Evaluation of parameterized turbulence closure, J. Geophys. Res.-Atmos., 129, <ext-link xlink:href="https://doi.org/10.1029/2024JD040889" ext-link-type="DOI">10.1029/2024JD040889</ext-link>, 2024.</mixed-citation></ref>
      <ref id="bib1.bibx43"><label>Juliano et al.(2026)</label><mixed-citation>Juliano, T. W., Tornow, F., Fridlind, A. M., Ackerman, A. S., Elsaesser, G. S., Geerts, B., Lackner, C. P., Painemal, D., Silber, I., Ovchinnikov, M., Svensson, G., Tjernström, M., Wu, P., Baró Pérez, A., Bogenschutz, P., Chechin, D., Chandrakar, K. K., Chylik, J., Debolskiy, A., Fadeev, R., Gupta, A., Ickes, L., Karalis, M., Köhler, M., Kosović, B., Kuma, P., Li, W., Mortikov, E., Morrison, H., Neggers, R. A. J., Possner, A., Raatikainen, T., Romakkaniemi, S., Schnierstein, N., Shima, S., Silin, N., Tolstykh, M., Xue, L., Zhang, M., and Zheng, X.: The Cold-Air Outbreaks in the Marine Boundary Layer Experiment model-observation intercomparison project (COMBLE-MIP), Part I: Model specification, observational constraints, and preliminary findings, EGUsphere [preprint], <ext-link xlink:href="https://doi.org/10.5194/egusphere-2025-6217" ext-link-type="DOI">10.5194/egusphere-2025-6217</ext-link>, 2026.</mixed-citation></ref>
      <ref id="bib1.bibx44"><label>Karalis et al.(2022)</label><mixed-citation>Karalis, M., Sotiropoulou, G., Abel, S. J., Bossioli, E., Georgakaki, P., Methymaki, G., Nenes, A., and Tombrou, M.: Effects of secondary ice processes on a stratocumulus to cumulus transition during a cold-air outbreak, Atmos. Res., 277, 106302, <ext-link xlink:href="https://doi.org/10.1016/j.atmosres.2022.106302" ext-link-type="DOI">10.1016/j.atmosres.2022.106302</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bibx45"><label>Kaser et al.(2017)</label><mixed-citation>Kaser, L., Patton, E. G., Pfister, G. G., Weinheimer, A. J., Montzka, D. D., Flocke, F., Thompson, A. M., Stauffer, R. M., and Halliday, H. S.: The effect of entrainment through atmospheric boundary layer growth on observed and modeled surface ozone in the Colorado Front Range, J. Geophys. Res.-Atmos., 122, 6075–6093, <ext-link xlink:href="https://doi.org/10.1002/2016JD026245" ext-link-type="DOI">10.1002/2016JD026245</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx46"><label>Kecorius et al.(2019)</label><mixed-citation>Kecorius, S., Vogl, T., Paasonen, P., Lampilahti, J., Rothenberg, D., Wex, H., Zeppenfeld, S., van Pinxteren, M., Hartmann, M., Henning, S., Gong, X., Welti, A., Kulmala, M., Stratmann, F., Herrmann, H., and Wiedensohler, A.: New particle formation and its effect on cloud condensation nuclei abundance in the summer Arctic: a case study in the Fram Strait and Barents Sea, Atmos. Chem. Phys., 19, 14339–14364, <ext-link xlink:href="https://doi.org/10.5194/acp-19-14339-2019" ext-link-type="DOI">10.5194/acp-19-14339-2019</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx47"><label>Khain et al.(2001)</label><mixed-citation>Khain, A., Pinsky, M., Shapiro, M., and Pokrovsky, A.: Collision rate of small graupel and water drops, J. Atmos. Sci., 58, 2571–2595, <ext-link xlink:href="https://doi.org/10.1175/1520-0469(2001)058&lt;2571:CROSGA&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0469(2001)058&lt;2571:CROSGA&gt;2.0.CO;2</ext-link>, 2001.</mixed-citation></ref>
      <ref id="bib1.bibx48"><label>Kirbus et al.(2023)</label><mixed-citation>Kirbus, B., Chylik, J., Ehrlich, A., Becker, S., Schäfer, M., Neggers, R., and Wendisch, M.: Analysis of an Arctic cold air outbreak during autumn and related air mass transformations forced by surface changes and advection in higher altitudes, Elementa: Science of the Anthropocene, 11, <ext-link xlink:href="https://doi.org/10.1525/elementa.2023.00079" ext-link-type="DOI">10.1525/elementa.2023.00079</ext-link>, 2023.</mixed-citation></ref>
      <ref id="bib1.bibx49"><label>Korolev and Isaac(2003)</label><mixed-citation>Korolev, A. and Isaac, G.: Roundness and aspect ratio of particles in ice clouds, J. Atmos. Sci., 60, 1795–1808, <ext-link xlink:href="https://doi.org/10.1175/1520-0469(2003)060&lt;1795:RAAROP&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0469(2003)060&lt;1795:RAAROP&gt;2.0.CO;2</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bibx50"><label>Korolev and Leisner(2020)</label><mixed-citation>Korolev, A. and Leisner, T.: Review of experimental studies of secondary ice production, Atmos. Chem. Phys., 20, 11767–11797, <ext-link xlink:href="https://doi.org/10.5194/acp-20-11767-2020" ext-link-type="DOI">10.5194/acp-20-11767-2020</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx51"><label>Lance(2012)</label><mixed-citation>Lance, S.: Coincidence errors in a Cloud Droplet Probe (CDP) and a Cloud and Aerosol Spectrometer (CAS), and the improved performance of a modified CDP, J. Atmos. Ocean. Tech., 29, 1532–1541, <ext-link xlink:href="https://doi.org/10.1175/JTECH-D-11-00208.1" ext-link-type="DOI">10.1175/JTECH-D-11-00208.1</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bibx52"><label>Lance et al.(2010)</label><mixed-citation>Lance, S., Brock, C. A., Rogers, D., and Gordon, J. A.: Water droplet calibration of the Cloud Droplet Probe (CDP) and in-flight performance in liquid, ice and mixed-phase clouds during ARCPAC, Atmos. Meas. Tech., 3, 1683–1706, <ext-link xlink:href="https://doi.org/10.5194/amt-3-1683-2010" ext-link-type="DOI">10.5194/amt-3-1683-2010</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bibx53"><label>Lance et al.(2011)</label><mixed-citation>Lance, S., Shupe, M. D., Feingold, G., Brock, C. A., Cozic, J., Holloway, J. S., Moore, R. H., Nenes, A., Schwarz, J. P., Spackman, J. R., Froyd, K. D., Murphy, D. M., Brioude, J., Cooper, O. R., Stohl, A., and Burkhart, J. F.: Cloud condensation nuclei as a modulator of ice processes in Arctic mixed-phase clouds, Atmos. Chem. Phys., 11, 8003–8015, <ext-link xlink:href="https://doi.org/10.5194/acp-11-8003-2011" ext-link-type="DOI">10.5194/acp-11-8003-2011</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx54"><label>Lasher-Trapp et al.(2021)</label><mixed-citation>Lasher-Trapp, S., Scott, E. L., Järvinen, E., Schnaiter, M., Waitz, F., DeMott, P. J., McCluskey, C. S., and Hill, T. C. J.: Observations and modeling of rime splintering in Southern Ocean cumuli, J. Geophys. Res.-Atmos., 126, e2021JD035479, <ext-link xlink:href="https://doi.org/10.1029/2021JD035479" ext-link-type="DOI">10.1029/2021JD035479</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bibx55"><label>Law and Stohl(2007)</label><mixed-citation>Law, K. S. and Stohl, A.: Arctic air pollution: origins and impacts, Science, 315, 1537–1540, <ext-link xlink:href="https://doi.org/10.1126/science.1137695" ext-link-type="DOI">10.1126/science.1137695</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bibx56"><label>Lawson et al.(2006)</label><mixed-citation>Lawson, P., O'Connor, D., Zmarzly, P., Weaver, K., Baker, B., Mo, Q., and Jonsson, H.: The 2DS (Stereo) Probe: Design and preliminary tests of a new airborne, high-speed, high-resolution particle imaging probe, J. Atmos. Ocean. Tech., 23, 1462–1477, <ext-link xlink:href="https://doi.org/10.1175/JTECH1927.1" ext-link-type="DOI">10.1175/JTECH1927.1</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bibx57"><label>Li et al.(2026)</label><mixed-citation>Li, J., Yang, J., Chen, M., Wang, Z., Lu, C., Jing, X., and Yang, K.: Enhanced glaciation of Arctic mixed‐phase stratiform clouds by turbulence, J. Geophys. Res., 131, e2025JD045571, <ext-link xlink:href="https://doi.org/10.1029/2025JD045571" ext-link-type="DOI">10.1029/2025JD045571</ext-link>, 2026.</mixed-citation></ref>
      <ref id="bib1.bibx58"><label>Liu et al.(2014)</label><mixed-citation>Liu, B., Wang, Z., Cai, Y., Wechsler, P., Kuestner, W., Burkhart, M., and Welch, W.: Compact airborne Raman lidar for profiling aerosol, water vapor and clouds, Optics Express, 22, 20613–20621, <ext-link xlink:href="https://doi.org/10.1364/OE.22.020613" ext-link-type="DOI">10.1364/OE.22.020613</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx59"><label>Liu and Deshler(2003)</label><mixed-citation>Liu, P. S. K. and Deshler, T.: Causes of concentration differences between a scanning mobility particle sizer and a condensation particle counter, Aerosol Sci. Technol., 37, 916–923, <ext-link xlink:href="https://doi.org/10.1080/02786820300931" ext-link-type="DOI">10.1080/02786820300931</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bibx60"><label>Lloyd et al.(2018)</label><mixed-citation>Lloyd, G., Choularton, T. W., Bower, K. N., Gallagher, M. W., Crosier, J., O'Shea, S., Abel, S. J., Fox, S., Cotton, R., and Boutle, I. A.: In situ measurements of cloud microphysical and aerosol properties during the break-up of stratocumulus cloud layers in cold air outbreaks over the North Atlantic, Atmos. Chem. Phys., 18, 17191–17206, <ext-link xlink:href="https://doi.org/10.5194/acp-18-17191-2018" ext-link-type="DOI">10.5194/acp-18-17191-2018</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bibx61"><label>Lyrchikova(2023)</label><mixed-citation>Lyrchikova, A.: Nornickel starts sulphur dioxide capture in Russia's most polluted city, <ext-link xlink:href="https://www.reuters.com/markets/commodities/nornickel-starts-sulphur-dioxide-capture-russias-most-polluted-city-2023-10-25/">https://www.reuters.com/markets/commodities/nornickel-starts-sulphur-dioxide-capture-russias-most-polluted-city-2023-10-25/</ext-link> (last access: 4 September 2026), 2023.</mixed-citation></ref>
      <ref id="bib1.bibx62"><label>McCoy et al.(2017)</label><mixed-citation>McCoy, I. L., Wood, R., and Fletcher, J. K.: Identifying meteorological controls on open and closed mesoscale cellular convection associated with marine cold air outbreaks, J. Geophys. Res.-Atmos., 122, 11678–11702, <ext-link xlink:href="https://doi.org/10.1002/2017JD027031" ext-link-type="DOI">10.1002/2017JD027031</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx63"><label>McCoy et al.(2021)</label><mixed-citation>McCoy, I. L., Bretherton, C., Wood, R., Twohy, C., Gettelman, A., Bardeen, C., and Toohey, D.: Influences of recent particle formation on Southern Ocean aerosol variability and low cloud properties, J. Geophys. Res.-Atmos., 126, e2020JD033529, <ext-link xlink:href="https://doi.org/10.1029/2020JD033529" ext-link-type="DOI">10.1029/2020JD033529</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bibx64"><label>McGinnity et al.(2026)</label><mixed-citation>McGinnity, F., Wang, Z., Lin, G., Zuidema, P., Geerts, B., Cassano, J., Ephraim, S., and Chu, Y.: Spatially resolved latent and sensible heat fluxes in the boundary layer of a cold air outbreak using airborne wavelet analysis: A CAESAR case study, ESS Open Archive [preprint], <ext-link xlink:href="https://doi.org/10.22541/essoar.15002448/v1" ext-link-type="DOI">10.22541/essoar.15002448/v1</ext-link>, 2026.</mixed-citation></ref>
      <ref id="bib1.bibx65"><label>Moore et al.(2024)</label><mixed-citation>Moore, K. A., Hill, T. C. J., McCluskey, C. S., Twohy, C. H., Rainwater, B., Toohey, D. W., Sanchez, K. J., Kreidenweis, S. M., and DeMott, P. J.: Characterizing ice nucleating particles over the Southern Ocean using simultaneous aircraft and ship observations, J. Geophys. Res.-Atmos., 129, e2023JD039543, <ext-link xlink:href="https://doi.org/10.1029/2023JD039543" ext-link-type="DOI">10.1029/2023JD039543</ext-link>, 2024.</mixed-citation></ref>
      <ref id="bib1.bibx66"><label>Morales and Nenes(2010)</label><mixed-citation>Morales, R. and Nenes, A.: Characteristic updrafts for computing distribution-averaged cloud droplet number and stratocumulus cloud properties, J. Geophys. Res.-Atmos., 115, <ext-link xlink:href="https://doi.org/10.1029/2009JD013233" ext-link-type="DOI">10.1029/2009JD013233</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bibx67"><label>Müller et al.(2017)</label><mixed-citation>Müller, M., Batrak, Y., Kristiansen, J., Køltzow, M., Noer, G., and Korosov, A.: Characteristics of a convective-scale weather forecasting system for the European Arctic, Mon. Weather Rev., 145, 4771–4787, <ext-link xlink:href="https://doi.org/10.1175/MWR-D-17-0194.1" ext-link-type="DOI">10.1175/MWR-D-17-0194.1</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx68"><label>Murray-Watson et al.(2023)</label><mixed-citation>Murray-Watson, R. J., Gryspeerdt, E., and Goren, T.: Investigating the development of clouds within marine cold-air outbreaks, Atmos. Chem. Phys., 23, 9365–9383, <ext-link xlink:href="https://doi.org/10.5194/acp-23-9365-2023" ext-link-type="DOI">10.5194/acp-23-9365-2023</ext-link>, 2023.</mixed-citation></ref>
      <ref id="bib1.bibx69"><label>Narizhnaya and Chernokulsky(2024)</label><mixed-citation>Narizhnaya, A. and Chernokulsky, A.: Cloud characteristics during intense cold air outbreaks over the Barents Sea based on satellite data, Atmosphere, 15, <ext-link xlink:href="https://doi.org/10.3390/atmos15030317" ext-link-type="DOI">10.3390/atmos15030317</ext-link>, 317, 2024.</mixed-citation></ref>
      <ref id="bib1.bibx70"><label>Newman et al.(2025)</label><mixed-citation>Newman, E. P., Geerts, B., Doyle, J. D., Grasmick, C., Zuidema, P., Ephraim, S., and Wang, Z.: Airborne observations of the vertical structure of a polar low in the Norwegian Sea, Mon. Weather Rev., 154, 54–77, <ext-link xlink:href="https://doi.org/10.1175/MWR-D-25-0109.1" ext-link-type="DOI">10.1175/MWR-D-25-0109.1</ext-link>, 2025.</mixed-citation></ref>
      <ref id="bib1.bibx71"><label>Nilsen(2019)</label><mixed-citation>Nilsen, T.: Norilsk tops world's list of worst SO2 polluters, <ext-link xlink:href="https://www.thebarentsobserver.com/climate-crisis/norilsk-tops-worlds-list-of-worst-so2-polluters/104667">https://www.thebarentsobserver.com/climate-crisis/norilsk-tops-worlds-list-of-worst-so2-polluters/104667</ext-link> (last access: 4 September 2026), 2019.</mixed-citation></ref>
      <ref id="bib1.bibx72"><label>Norgren et al.(2018)</label><mixed-citation>Norgren, M. S., de Boer, G., and Shupe, M. D.: Observed aerosol suppression of cloud ice in low-level Arctic mixed-phase clouds, Atmos. Chem. Phys., 18, 13345–13361, <ext-link xlink:href="https://doi.org/10.5194/acp-18-13345-2018" ext-link-type="DOI">10.5194/acp-18-13345-2018</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bibx73"><label>NSF/NCAR C-130 Team(2025)</label><mixed-citation>NSF/NCAR C-130 Team: Low Rate (LRT – 1 sps) Navigation, State Parameter, and Microphysics Flight-Level Data. Version 1.4, NSF NCAR Earth Observing Laboratory [data set], <ext-link xlink:href="https://doi.org/10.26023/44NW-3RPN-ZF0B" ext-link-type="DOI">10.26023/44NW-3RPN-ZF0B</ext-link>, 2025.</mixed-citation></ref>
      <ref id="bib1.bibx74"><label>NSF/NCAR C-130 Team(2026)</label><mixed-citation>NSF/NCAR C-130 Team: High Rate (HRT – 25 sps) Navigation, State Parameter, and Microphysics Flight-Level Data. Version 1.1, NSF NCAR Earth Observing Laboratory [data set], <ext-link xlink:href="https://doi.org/10.26023/X2W9-12BD-6C0S" ext-link-type="DOI">10.26023/X2W9-12BD-6C0S</ext-link>, 2026.</mixed-citation></ref>
      <ref id="bib1.bibx75"><label>Papritz and Spengler(2017)</label><mixed-citation>Papritz, L. and Spengler, T.: A Lagrangian climatology of wintertime cold air outbreaks in the Irminger and Nordic Seas and their role in shaping air–sea heat fluxes, J. Climate, 30, 2717–2737, <ext-link xlink:href="https://doi.org/10.1175/JCLI-D-16-0605.1" ext-link-type="DOI">10.1175/JCLI-D-16-0605.1</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx76"><label>Papritz et al.(2015)</label><mixed-citation>Papritz, L., Pfahl, S., Sodemann, H., and Wernli, H.: A climatology of cold air outbreaks and their impact on air–sea heat fluxes in the high-latitude South Pacific, J. Climate, 28, 342–364, <ext-link xlink:href="https://doi.org/10.1175/JCLI-D-14-00482.1" ext-link-type="DOI">10.1175/JCLI-D-14-00482.1</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx77"><label>Patnaude et al.(2025)</label><mixed-citation>Patnaude, R. J., McCluskey, C. S., Roberts, G. C., DeMott, P. J., Hill, T. C. J., McFarquhar, G. M., Kollias, P., Ranjbar, K., Wolde, M., and Kreidenweis, S. M.: Characteristics of ice nucleating particles from the long-range transport of Saharan dust, Geophys. Res. Lett., 52, e2024GL113365, <ext-link xlink:href="https://doi.org/10.1029/2024GL113365" ext-link-type="DOI">10.1029/2024GL113365</ext-link>, 2025.</mixed-citation></ref>
      <ref id="bib1.bibx78"><label>Pearson et al.(2026)</label><mixed-citation>Pearson, G. R. L., Zuidema, P., Kirschler, S., Menekay, D., Siu, L. W., Sorooshian, A., Thornhill, K. L., Voigt, C., and Ziemba, L.: Secondary ice production occurs predominantly between <inline-formula><mml:math id="M636" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula> °C to <inline-formula><mml:math id="M637" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula> °C in midlatitude winter mixed-phase marine cold air outbreaks, ESS Open Archive [preprint], <ext-link xlink:href="https://doi.org/10.22541/essoar.15002290/v1" ext-link-type="DOI">10.22541/essoar.15002290/v1</ext-link>, 2026.</mixed-citation></ref>
      <ref id="bib1.bibx79"><label>Perkins and Barry(2025)</label><mixed-citation>Perkins, R. and Barry, K.: CAESAR: C-130 Ice Spectrometer Measurements. Version 1.0, NSF NCAR Earth Observing Laboratory [data set], <ext-link xlink:href="https://doi.org/10.26023/P9VX-CD1Y-4Z03" ext-link-type="DOI">10.26023/P9VX-CD1Y-4Z03</ext-link>, 2025.</mixed-citation></ref>
      <ref id="bib1.bibx80"><label>Perkins and Patnaude(2024)</label><mixed-citation>Perkins, R. and Patnaude, R.: CAESAR: Continuous Flow Diffusion Chamber (CFDC) Measurements. Version 1.0, NSF NCAR Earth Observing Laboratory [data set], <ext-link xlink:href="https://doi.org/10.26023/6DMM-FYWB-RN11" ext-link-type="DOI">10.26023/6DMM-FYWB-RN11</ext-link>, 2024.</mixed-citation></ref>
      <ref id="bib1.bibx81"><label>Petters(2025)</label><mixed-citation>Petters, M.: Julia wrapper for the Pyrcel model, GitHub [code], <uri>https://github.com/mdp-aerosol-group/Pyrcel.jl</uri>, last access: 7 October 2025.</mixed-citation></ref>
      <ref id="bib1.bibx82"><label>Petters and Cai(2025a)</label><mixed-citation>Petters, M. and Cai, L.: CAESAR: University of California, Riverside Mobility Size Distribution Data. Version 1.0, NSF NCAR Earth Observing Laboratory [data set], <ext-link xlink:href="https://doi.org/10.26023/M31B-VN13-Q30X" ext-link-type="DOI">10.26023/M31B-VN13-Q30X</ext-link>, 2025a.</mixed-citation></ref>
      <ref id="bib1.bibx83"><label>Petters and Cai(2025b)</label><mixed-citation>Petters, M. and Cai, L.: CAESAR: University of California, Riverside Single Particle Soot Photometer (SP2) Data. Version 1.0. NSF NCAR Earth Observing Laboratory [data set], <ext-link xlink:href="https://doi.org/10.26023/RWTP-W4E0-H30B" ext-link-type="DOI">10.26023/RWTP-W4E0-H30B</ext-link>, 2025b.</mixed-citation></ref>
      <ref id="bib1.bibx84"><label>Petters and Kreidenweis(2007)</label><mixed-citation>Petters, M. D. and Kreidenweis, S. M.: A single parameter representation of hygroscopic growth and cloud condensation nucleus activity, Atmos. Chem. Phys., 7, 1961–1971, <ext-link xlink:href="https://doi.org/10.5194/acp-7-1961-2007" ext-link-type="DOI">10.5194/acp-7-1961-2007</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bibx85"><label>Pinsky et al.(2015)</label><mixed-citation>Pinsky, M., Khain, A., and Korolev, A.: Phase transformations in an ascending adiabatic mixed-phase cloud volume, J. Geophys. Res., 120, 3329–3353, <ext-link xlink:href="https://doi.org/10.1002/2015JD023094" ext-link-type="DOI">10.1002/2015JD023094</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx86"><label>Pisso et al.(2019)</label><mixed-citation>Pisso, I., Sollum, E., Grythe, H., Kristiansen, N. I., Cassiani, M., Eckhardt, S., Arnold, D., Morton, D., Thompson, R. L., Groot Zwaaftink, C. D., Evangeliou, N., Sodemann, H., Haimberger, L., Henne, S., Brunner, D., Burkhart, J. F., Fouilloux, A., Brioude, J., Philipp, A., Seibert, P., and Stohl, A.: The Lagrangian particle dispersion model FLEXPART version 10.4, Geosci. Model Dev., 12, 4955–4997, <ext-link xlink:href="https://doi.org/10.5194/gmd-12-4955-2019" ext-link-type="DOI">10.5194/gmd-12-4955-2019</ext-link>, 2019.</mixed-citation></ref>
      <ref id="bib1.bibx87"><label>Pokharel and Vali(2011)</label><mixed-citation>Pokharel, B. and Vali, G.: Evaluation of collocated measurements of radar reflectivity and particle sizes in ice clouds, J. Appl. Meteorol. Climatol., 50, 2104–2119, <ext-link xlink:href="https://doi.org/10.1175/JAMC-D-10-05010.1" ext-link-type="DOI">10.1175/JAMC-D-10-05010.1</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx88"><label>Poydenot et al.(2026)</label><mixed-citation>Poydenot, F., Robbins-Blanch, N., Zhu, Z., and Vogel, R.: How rain shapes cloud-scale dynamics and mass flux in the trades, EGUsphere [preprint], <ext-link xlink:href="https://doi.org/10.5194/egusphere-2026-1974" ext-link-type="DOI">10.5194/egusphere-2026-1974</ext-link>, 2026.</mixed-citation></ref>
      <ref id="bib1.bibx89"><label>Raif et al.(2024)</label><mixed-citation>Raif, E. N., Barr, S. L., Tarn, M. D., McQuaid, J. B., Daily, M. I., Abel, S. J., Barrett, P. A., Bower, K. N., Field, P. R., Carslaw, K. S., and Murray, B. J.: High ice-nucleating particle concentrations associated with Arctic haze in springtime cold-air outbreaks, Atmos. Chem. Phys., 24, 14045–14072, <ext-link xlink:href="https://doi.org/10.5194/acp-24-14045-2024" ext-link-type="DOI">10.5194/acp-24-14045-2024</ext-link>, 2024.</mixed-citation></ref>
      <ref id="bib1.bibx90"><label>Rothenberg and Wang(2016)</label><mixed-citation>Rothenberg, D. and Wang, C.: Metamodeling of droplet activation for global climate models, J. Atmos. Sci., 73, 1255–1272, <ext-link xlink:href="https://doi.org/10.1175/JAS-D-15-0223.1" ext-link-type="DOI">10.1175/JAS-D-15-0223.1</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx91"><label>Sander and Mikkelsen(2025)</label><mixed-citation>Sander, G. and Mikkelsen, E.: Arctic shipping 2013–2022: the traffic has grown, with big variation between regions, seasons and ship types, Polar Res., 44, <ext-link xlink:href="https://doi.org/10.33265/polar.v44.10978" ext-link-type="DOI">10.33265/polar.v44.10978</ext-link>, 2025.</mixed-citation></ref>
      <ref id="bib1.bibx92"><label>Sandu and Stevens(2011)</label><mixed-citation>Sandu, I. and Stevens, B.: On the factors modulating the stratocumulus to cumulus transitions, J. Atmos. Sci., 68, 1865–1881, <ext-link xlink:href="https://doi.org/10.1175/2011JAS3614.1" ext-link-type="DOI">10.1175/2011JAS3614.1</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx93"><label>Sansom et al.(2026)</label><mixed-citation>Sansom, R. W. N., Johnson, J. S., Regayre, L. A., Lee, L. A., and Carslaw, K. S.: Strong control of the stratocumulus-to-cumulus transition time by aerosol: analysis of the joint roles of several cloud-controlling factors using Gaussian process emulation, Atmos. Chem. Phys., 26, 1713–1733, <ext-link xlink:href="https://doi.org/10.5194/acp-26-1713-2026" ext-link-type="DOI">10.5194/acp-26-1713-2026</ext-link>, 2026.</mixed-citation></ref>
      <ref id="bib1.bibx94"><label>Sarkar et al.(2020)</label><mixed-citation>Sarkar, M., Zuidema, P., Albrecht, B., Ghate, V., Jensen, J., Mohrmann, J., and Wood, R.: Observations pertaining to precipitation within the northeast Pacific stratocumulus-to-cumulus transition, Mon. Weather Rev., 148, 1251–1273, <ext-link xlink:href="https://doi.org/10.1175/MWR-D-19-0235.1" ext-link-type="DOI">10.1175/MWR-D-19-0235.1</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx95"><label>Schafer et al.(2024)</label><mixed-citation>Schäfer, B., David, R. O., Georgakaki, P., Pasquier, J. T., Sotiropoulou, G., and Storelvmo, T.: Simulations of primary and secondary ice production during an Arctic mixed-phase cloud case from the Ny-Ålesund Aerosol Cloud Experiment (NASCENT) campaign, Atmos. Chem. Phys., 24, 7179–7202, <ext-link xlink:href="https://doi.org/10.5194/acp-24-7179-2024" ext-link-type="DOI">10.5194/acp-24-7179-2024</ext-link>, 2024.</mixed-citation></ref>
      <ref id="bib1.bibx96"><label>Schirmacher et al.(2024)</label><mixed-citation>Schirmacher, I., Schnitt, S., Klingebiel, M., Maherndl, N., Kirbus, B., Ehrlich, A., Mech, M., and Crewell, S.: Clouds and precipitation in the initial phase of marine cold-air outbreaks as observed by airborne remote sensing, Atmos. Chem. Phys., 24, 12823–12842, <ext-link xlink:href="https://doi.org/10.5194/acp-24-12823-2024" ext-link-type="DOI">10.5194/acp-24-12823-2024</ext-link>, 2024.</mixed-citation></ref>
      <ref id="bib1.bibx97"><label>Sheikh et al.(2024)</label><mixed-citation>Sheikh, M. Z., Gustavsson, K., Lévêque, E., Mehlig, B., Pumir, A., and Naso, A.: Effect of turbulence on the collision rate between settling ice crystals and droplets, J. Atmos. Sci., 81, 887–901, <ext-link xlink:href="https://doi.org/10.1175/JAS-D-23-0119.1" ext-link-type="DOI">10.1175/JAS-D-23-0119.1</ext-link>, 2024.</mixed-citation></ref>
      <ref id="bib1.bibx98"><label>Smalley et al.(2022)</label><mixed-citation>Smalley, K. M., Lebsock, M. D., Eastman, R., Smalley, M., and Witte, M. K.: A Lagrangian analysis of pockets of open cells over the southeastern Pacific, Atmos. Chem. Phys., 22, 8197–8219, <ext-link xlink:href="https://doi.org/10.5194/acp-22-8197-2022" ext-link-type="DOI">10.5194/acp-22-8197-2022</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bibx99"><label>Snider(2024a)</label><mixed-citation>Snider, J.: CAESAR: Ultra-High Sensitivity Aerosol Spectrometer (UHSAS) Graphics. Version 1.0, NSF NCAR Earth Observing Laboratory [data set], <ext-link xlink:href="https://doi.org/10.26023/5VK4-AJ5D-6Q14" ext-link-type="DOI">10.26023/5VK4-AJ5D-6Q14</ext-link>, 2024a.</mixed-citation></ref>
      <ref id="bib1.bibx100"><label>Snider(2024b)</label><mixed-citation>Snider, J.: CAESAR: Wyoming Cloud Condensation Nuclei (W-CCN) Counter Data and Graphics. Version 1.0, NSF NCAR Earth Observing Laboratory [data set], <ext-link xlink:href="https://doi.org/10.26023/66WG-GRGT-K30Z" ext-link-type="DOI">10.26023/66WG-GRGT-K30Z</ext-link>, 2024b.</mixed-citation></ref>
      <ref id="bib1.bibx101"><label>Snider et al.(2006)</label><mixed-citation>Snider, J. R., Petters, M. D., Wechsler, P., and Liu, P. S. K.: Supersaturation in the Wyoming CCN Instrument, J. Atmos. Ocean. Tech., 23, 1323–1339, <ext-link xlink:href="https://doi.org/10.1175/JTECH1916.1" ext-link-type="DOI">10.1175/JTECH1916.1</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bibx102"><label>Snider et al.(2017)</label><mixed-citation>Snider, J. R., Leon, D., and Wang, Z.: Droplet concentration and spectral broadening in Southeast Pacific stratocumulus clouds, J. Atmos. Sci., 74, 719–749, <ext-link xlink:href="https://doi.org/10.1175/JAS-D-16-0043.1" ext-link-type="DOI">10.1175/JAS-D-16-0043.1</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx103"><label>Sotiropoulou et al.(2020)</label><mixed-citation>Sotiropoulou, G., Sullivan, S., Savre, J., Lloyd, G., Lachlan-Cope, T., Ekman, A. M. L., and Nenes, A.: The impact of secondary ice production on Arctic stratocumulus, Atmos. Chem. Phys., 20, 1301–1316, <ext-link xlink:href="https://doi.org/10.5194/acp-20-1301-2020" ext-link-type="DOI">10.5194/acp-20-1301-2020</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bibx104"><label>Spuler and Fugal(2011)</label><mixed-citation>Spuler, S. M. and Fugal, J.: Design of an in-line, digital holographic imaging system for airborne measurement of clouds, Appl. Optics, 50, 1405–1412, <ext-link xlink:href="https://doi.org/10.1364/AO.50.001405" ext-link-type="DOI">10.1364/AO.50.001405</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx105"><label>Sullivan et al.(2017)</label><mixed-citation>Sullivan, S., Hoose, C., and Nenes, A.: Investigating the contribution of secondary ice production to in-cloud ice crystal numbers, J. Geophys. Res., 122, 9391–9412, <ext-link xlink:href="https://doi.org/10.1002/2017JD026546" ext-link-type="DOI">10.1002/2017JD026546</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx106"><label>Takahashi et al.(1995)</label><mixed-citation>Takahashi, T., Nagao, Y., and Kushiyama, Y.: Possible high ice particle production during graupel–graupel collisions, J. Atmos. Sci., 52, 4523–4527, <ext-link xlink:href="https://doi.org/10.1175/1520-0469(1995)052&lt;4523:PHIPPD&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0469(1995)052&lt;4523:PHIPPD&gt;2.0.CO;2</ext-link>, 1995.</mixed-citation></ref>
      <ref id="bib1.bibx107"><label>Tornow et al.(2021)</label><mixed-citation>Tornow, F., Ackerman, A. S., and Fridlind, A. M.: Preconditioning of overcast-to-broken cloud transitions by riming in marine cold air outbreaks, Atmos. Chem. Phys., 21, 12049–12067, <ext-link xlink:href="https://doi.org/10.5194/acp-21-12049-2021" ext-link-type="DOI">10.5194/acp-21-12049-2021</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bibx108"><label>Tornow et al.(2022)</label><mixed-citation>Tornow, F., Ackerman, A. S., Fridlind, A. M., Cairns, B., Crosbie, E. C., Kirschler, S., Moore, R. H., Robinson, C. E., Seethala, C., Shook, M. A., Voigt, C., Winstead, E. L., Ziemba, L. D., and P. Zuidema, A. S.: Dilution of boundary layer cloud condensation nucleus concentrations by free tropospheric entrainment during marine cold air outbreaks, Geophys. Res. Lett., 49, e2022GL098444, <ext-link xlink:href="https://doi.org/10.1029/2022GL098444" ext-link-type="DOI">10.1029/2022GL098444</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bibx109"><label>Tornow et al.(2023)</label><mixed-citation>Tornow, F., Ackerman, A. S., Fridlind, A. M., Tselioudis, G., Cairns, B., Painemal, D., and Elsaesser, G.: On the impact of a dry intrusion driving cloud-regime transitions in a midlatitude cold-air outbreak, J. Atmos. Sci., 80, 2881–2896, <ext-link xlink:href="https://doi.org/10.1175/JAS-D-23-0040.1" ext-link-type="DOI">10.1175/JAS-D-23-0040.1</ext-link>, 2023.</mixed-citation></ref>
      <ref id="bib1.bibx110"><label>Tornow et al.(2025)</label><mixed-citation>Tornow, F., Crosbie, E. C., Fridlind, A. M., Ackerman, A. S., D.Ziemba, L., Elsaesser, G., Cairns, B., Painemal, D., Chellappan, S., Zuidema, P., Voigt, C., Kirschler, S., and Sorooshian, A.: High accumulation mode aerosol concentration and moderate aerosol hygroscopicity limit impacts of recent particle formation on Northwest Atlantic post-frontal clouds, Geophys. Res. Lett., 52, e2025GL116020, <ext-link xlink:href="https://doi.org/10.1029/2025GL116020" ext-link-type="DOI">10.1029/2025GL116020</ext-link>, 2025.</mixed-citation></ref>
      <ref id="bib1.bibx111"><label>Vardiman(1978)</label><mixed-citation>Vardiman, L.: The generation of secondary ice particles in clouds by crystal–crystal collision, J. Atmos. Sci., 35, 2168–2180, <ext-link xlink:href="https://doi.org/10.1175/1520-0469(1978)035&lt;2168:TGOSIP&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0469(1978)035&lt;2168:TGOSIP&gt;2.0.CO;2</ext-link>, 1978.</mixed-citation></ref>
      <ref id="bib1.bibx112"><label>Villum Team(2026)</label><mixed-citation>Villum Team: Data from Villum Research Station used in: A closed-to-open cell mixed-phase cloud transition observed over the Nordic Seas under high aerosol loading and strong surface fluxes, Version 1.0, NSF NCAR Earth Observing Laboratory [data set], <ext-link xlink:href="https://doi.org/10.26023/1HV4-NCZ7-KJ08" ext-link-type="DOI">10.26023/1HV4-NCZ7-KJ08</ext-link>, 2026.</mixed-citation></ref>
      <ref id="bib1.bibx113"><label>Wang(2025)</label><mixed-citation>Wang, Z.: CAESAR: Multi-function Airborne Raman Lidar (MARLi) Data. Version 1.0, NSF NCAR Earth Observing Laboratory [data set], <ext-link xlink:href="https://doi.org/10.26023/GCWK-RWHV-3F0E" ext-link-type="DOI">10.26023/GCWK-RWHV-3F0E</ext-link>, 2025.</mixed-citation></ref>
      <ref id="bib1.bibx114"><label>Wang and Ji(2000)</label><mixed-citation>Wang, P. K. and Ji, W.: Collision efficiencies of ice crystals at low–intermediate reynolds numbers colliding with supercooled cloud droplets: A numerical study, J. Atmos. Sci., 57, 1001–1009, <ext-link xlink:href="https://doi.org/10.1175/1520-0469(2000)057&lt;1001:CEOICA&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0469(2000)057&lt;1001:CEOICA&gt;2.0.CO;2</ext-link>, 2000.</mixed-citation></ref>
      <ref id="bib1.bibx115"><label>Wang et al.(2012)</label><mixed-citation>Wang, Z., French, J., Vali, G., Wechsler, P., Haimov, S., Rodi, A., Deng, M., Leon, D., Snider, J., Peng, L., and Pazmany, A. L.: Single aircraft integration of remote sensing and in situ sampling for the study of cloud microphysics and dynamics, B. Am. Meteorol. Soc., 93, 653–668, <ext-link xlink:href="https://doi.org/10.1175/BAMS-D-11-00044.1" ext-link-type="DOI">10.1175/BAMS-D-11-00044.1</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bibx116"><label>Wegener(1911)</label><mixed-citation> Wegener, A.: Thermodynamik der Atmosphäre, J. A. Barth, Leipzig, 1911.</mixed-citation></ref>
      <ref id="bib1.bibx117"><label>Wendisch et al.(2024)</label><mixed-citation>Wendisch, M., Crewell, S., Ehrlich, A., Herber, A., Kirbus, B., Lüpkes, C., Mech, M., Abel, S. J., Akansu, E. F., Ament, F., Aubry, C., Becker, S., Borrmann, S., Bozem, H., Brückner, M., Clemen, H.-C., Dahlke, S., Dekoutsidis, G., Delanoë, J., De La Torre Castro, E., Dorff, H., Dupuy, R., Eppers, O., Ewald, F., George, G., Gorodetskaya, I. V., Grawe, S., Groß, S., Hartmann, J., Henning, S., Hirsch, L., Jäkel, E., Joppe, P., Jourdan, O., Jurányi, Z., Karalis, M., Kellermann, M., Klingebiel, M., Lonardi, M., Lucke, J., Luebke, A. E., Maahn, M., Maherndl, N., Maturilli, M., Mayer, B., Mayer, J., Mertes, S., Michaelis, J., Michalkov, M., Mioche, G., Moser, M., Müller, H., Neggers, R., Ori, D., Paul, D., Paulus, F. M., Pilz, C., Pithan, F., Pöhlker, M., Pörtge, V., Ringel, M., Risse, N., Roberts, G. C., Rosenburg, S., Röttenbacher, J., Rückert, J., Schäfer, M., Schaefer, J., Schemann, V., Schirmacher, I., Schmidt, J., Schmidt, S., Schneider, J., Schnitt, S., Schwarz, A., Siebert, H., Sodemann, H., Sperzel, T., Spreen, G., Stevens, B., Stratmann, F., Svensson, G., Tatzelt, C., Tuch, T., Vihma, T., Voigt, C., Volkmer, L., Walbröl, A., Weber, A., Wehner, B., Wetzel, B., Wirth, M., and Zinner, T.: Overview: quasi-Lagrangian observations of Arctic air mass transformations – introduction and initial results of the HALO–<inline-formula><mml:math id="M638" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:mi mathvariant="script">A</mml:mi><mml:mi mathvariant="script">C</mml:mi><mml:msup><mml:mo>)</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> aircraft campaign, Atmos. Chem. Phys., 24, 8865–8892, <ext-link xlink:href="https://doi.org/10.5194/acp-24-8865-2024" ext-link-type="DOI">10.5194/acp-24-8865-2024</ext-link>, 2024.</mixed-citation></ref>
      <ref id="bib1.bibx118"><label>Williams et al.(2024)</label><mixed-citation>Williams, A. S., Dedrick, J. L., Russell, L. M., Tornow, F., Silber, I., Fridlind, A. M., Swanson, B., DeMott, P. J., Zieger, P., and Krejci, R.: Aerosol size distribution properties associated with cold-air outbreaks in the Norwegian Arctic, Atmos. Chem. Phys., 24, 11791–11805, <ext-link xlink:href="https://doi.org/10.5194/acp-24-11791-2024" ext-link-type="DOI">10.5194/acp-24-11791-2024</ext-link>, 2024.</mixed-citation></ref>
      <ref id="bib1.bibx119"><label>Wood et al.(2011)</label><mixed-citation>Wood, R., Bretherton, C. S., Leon, D., Clarke, A. D., Zuidema, P., Allen, G., and Coe, H.: An aircraft case study of the spatial transition from closed to open mesoscale cellular convection over the Southeast Pacific, Atmos. Chem. Phys., 11, 2341–2370, <ext-link xlink:href="https://doi.org/10.5194/acp-11-2341-2011" ext-link-type="DOI">10.5194/acp-11-2341-2011</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx120"><label>Woods(2025)</label><mixed-citation>Woods, S.: CAESAR: HVPS-3 Data and Imagery. Version 1.0, NSF NCAR Earth Observing Laboratory [data set], <ext-link xlink:href="https://doi.org/10.26023/N2NM-4PQQ-7H0C" ext-link-type="DOI">10.26023/N2NM-4PQQ-7H0C</ext-link>, 2025.</mixed-citation></ref>
      <ref id="bib1.bibx121"><label>Woods(2026)</label><mixed-citation>Woods, S.: CAESAR: Fast 2D-S Data and Imagery. Version 1.2, NSF NCAR Earth Observing Laboratory [data set], <ext-link xlink:href="https://doi.org/10.26023/NFNP-51FQ-VX00" ext-link-type="DOI">10.26023/NFNP-51FQ-VX00</ext-link>, 2026.</mixed-citation></ref>
      <ref id="bib1.bibx122"><label>Wu et al.(2016)</label><mixed-citation>Wu, D., Wang, Z., Wechsler, P., Mahon, N., Deng, M., Glover, B., Burkhart, M., Kuestner, W., and Heesen, B.: Airborne compact rotational Raman lidar for temperature measurement, Optics Express, 24, <ext-link xlink:href="https://doi.org/10.1364/OE.24.0A1210" ext-link-type="DOI">10.1364/OE.24.0A1210</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx123"><label>Wu et al.(2025)</label><mixed-citation>Wu, P., Ovchinnikov, M., Xiao, H., Lackner, C. P., Geerts, B., Tornow, F., and Elsaesser, G.: Effect of ice number concentration on the evolution of boundary layer clouds during Arctic marine cold-air outbreaks, J. Geophys. Res.-Atmos., 130, e2024JD041282, <ext-link xlink:href="https://doi.org/10.1029/2024JD041282" ext-link-type="DOI">10.1029/2024JD041282</ext-link>, 2025.</mixed-citation></ref>
      <ref id="bib1.bibx124"><label>Wyant et al.(1997)</label><mixed-citation>Wyant, M. C., Bretherton, C. S., Rand, H. A., and Stevens, D. E.: Numerical simulations and a conceptual model of the stratocumulus to trade cumulus transition, J. Atmos. Sci., 54, 168–192, <ext-link xlink:href="https://doi.org/10.1175/1520-0469(1997)054&lt;0168:NSAACM&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0469(1997)054&lt;0168:NSAACM&gt;2.0.CO;2</ext-link>, 1997. </mixed-citation></ref>
      <ref id="bib1.bibx125"><label>Wyant et al.(2022)</label><mixed-citation>Wyant, M. C., Bretherton, C. S., Wood, R., Blossey, P. N., and McCoy, I. L.: High free-tropospheric Aitken-mode aerosol concentrations buffer cloud droplet concentrations in large-eddy simulations of precipitating stratocumulus, J. Adv. Model. Earth Sy., 14, e2021MS002930, <ext-link xlink:href="https://doi.org/10.1029/2021MS002930" ext-link-type="DOI">10.1029/2021MS002930</ext-link>, 2022.</mixed-citation></ref>
      <ref id="bib1.bibx126"><label>Yamaguchi and Feingold(2015)</label><mixed-citation>Yamaguchi, T. and Feingold, G.: On the relationship between open cellular convective cloud patterns and the spatial distribution of precipitation, Atmos. Chem. Phys., 15, 1237–1251, <ext-link xlink:href="https://doi.org/10.5194/acp-15-1237-2015" ext-link-type="DOI">10.5194/acp-15-1237-2015</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx127"><label>Yamaguchi et al.(2017)</label><mixed-citation>Yamaguchi, T., Feingold, G., and Kazil, J.: Stratocumulus to cumulus transition by drizzle, J. Adv. Model. Earth Sy., 9, 2333–2349, <ext-link xlink:href="https://doi.org/10.1002/2017MS001104" ext-link-type="DOI">10.1002/2017MS001104</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx128"><label>Young et al.(2002)</label><mixed-citation>Young, G. S., Kristovich, D. A. R., Hjelmfelt, M. R., and Foster, R. C.: Rolls, streets, waves, and more, B. Am. Meteorol. Soc., 83, 997–1002, <ext-link xlink:href="https://doi.org/10.1175/1520-0477(2002)083&lt;0997:RSWAMA&gt;2.3.CO;2" ext-link-type="DOI">10.1175/1520-0477(2002)083&lt;0997:RSWAMA&gt;2.3.CO;2</ext-link>, 2002.</mixed-citation></ref>
      <ref id="bib1.bibx129"><label>Zhu and Zuidema(2009)</label><mixed-citation>Zhu, P. and Zuidema, P.: On the use of PDF schemes to parameterize sub-grid clouds, Geophys. Res. Lett., 36, l05807, <ext-link xlink:href="https://doi.org/10.1029/2008GL036817" ext-link-type="DOI">10.1029/2008GL036817</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bibx130"><label>Zuidema et al.(2012)</label><mixed-citation>Zuidema, P., Li, Z., Hill, R. J., Bariteau, L., Rilling, B., Fairall, C., Brewer, W. A., Albrecht, B., and Hare, J.: On trade wind cumulus cold pools, J. Atmos. Sci., 69, 258–280, <ext-link xlink:href="https://doi.org/10.1175/JAS-D-11-0143.1" ext-link-type="DOI">10.1175/JAS-D-11-0143.1</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bibx131"><label>Zuidema et al.(2017)</label><mixed-citation>Zuidema, P., Torri, G., Muller, C., and Chandra, A.: A survey of precipitation-induced atmospheric cold pools over oceans and their interactions with the larger-scale environment, Surv. Geophys., 38, 1283–1305, <ext-link xlink:href="https://doi.org/10.1007/s10712-017-9447-x" ext-link-type="DOI">10.1007/s10712-017-9447-x</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx132"><label>Zuidema et al.(2026)</label><mixed-citation>Zuidema, P., Geerts, B., McFarquhar, G., Bailey, A., Cassano, J., Doyle, J., French, J., Perkins, R., Petters, M., Snider, J. R., Wang, Y., Wang, Z., Cai, L., David, R., DeMott, P. J., Dzambo, A., Grasmick, C., Järvinen, E., Romashkin, P., Rosky, E., Ruchti, C., Tjernström, M., Tsai, P., Veres, P., Vömel, H., Woods, S., Wolff, C., Zietlow, D., Allison, J., Amundsen, N., Aquino, J., Arendt, C., Bansemer, A., Beamesderfer, E., Caldon, E., Campos, T., Carlsen, T., Chen, B., Cruikshank, O., Dewerd, C., Elsaesser, G., Ephraim, S., Goodstein, M., Gryskewicz, S., Haggerty, J., Hicks, J., Huang, Y., Juliano, T., Kille, N., Kreidenweis, S., Kruse, C., Lamsma, B., Loehrer, S., Lorenzo, G., Mahant, S., Majewski, A., Martrich, S., Mavis, C., McGinnity, F., McUmber, E., Newman, E., Niu, Q., Nguyen, L., Noer, G., Patil, S., Patnaude, R., Pruitt, E., Ragland, J., Reeves, M., Richter, A., Robertson, A., Rogge, F., Sarkar, M., Schnaiter, M., Seidl, A., Sodemann, H., Svensson, G., Smith, W., Stringer, S., Tatro, T., Tornow, F., Velt, P., Weissburg, E., Wu, J., Xue, L., and Xia, Z.: Flying into the cold: First results from the NSF Cold-Air outbreak Experiment in the Sub-ARctic (CAESAR), B. Am. Meteorol. Soc., early online release,  BAMS–D–25–0241.1, <ext-link xlink:href="https://doi.org/10.1175/BAMS-D-25-0241.1" ext-link-type="DOI">10.1175/BAMS-D-25-0241.1</ext-link>, 2026.</mixed-citation></ref>

  </ref-list></back>
    <!--<article-title-html>A closed-to-open cell mixed-phase cloud transition observed over the Nordic Seas under high aerosol loading and strong surface fluxes</article-title-html>
<abstract-html/>
<ref-html id="bib1.bib1"><label>Abel et al.(2017)</label><mixed-citation>
      
Abel, S. J., Boutle, I. A., Waite, K., Fox, S., Brown, P. R. A., Cotton, R.,
Lloyd, G., Choularton, T. W., and Bower, K. N.: The role of precipitation in
controlling the transition from stratocumulus to cumulus clouds in a northern
hemisphere cold-air outbreak, J. Atmos. Sci., 74, 2293–2314, <a href="https://doi.org/10.1175/JAS-D-16-0362.1" target="_blank">https://doi.org/10.1175/JAS-D-16-0362.1</a>, 2017.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>Albrecht et al.(1995)</label><mixed-citation>
      
Albrecht, B. A., Bretherton, C., Johnson, D., Scubert, W., and Frisch, A. S.:
The Atlantic Stratocumulus Transition Experiment – ASTEX, B. Am. Meteorol. Soc., 76, 889–904,
<a href="https://doi.org/10.1175/1520-0477(1995)076&lt;0889:TASTE&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0477(1995)076&lt;0889:TASTE&gt;2.0.CO;2</a>,
1995.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>Bansemer et al.(2025)</label><mixed-citation>
      
Bansemer, A., Woods, S., Spuler, S., and Stillwell, R.: CAESAR: HOLODEC-II Data and Imagery. Version 1.0, NSF NCAR Earth Observing Laboratory [data set], <a href="https://doi.org/10.26023/46A1-3CP5-T90J" target="_blank">https://doi.org/10.26023/46A1-3CP5-T90J</a>, 2025.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>Barnes and Garstang(1982)</label><mixed-citation>
      
Barnes, G. M. and Garstang, M.: Subcloud layer energetics of precipitating
convection, Mon. Weather Rev., 110, 102–117, 1982.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>Barry et al.(2021)</label><mixed-citation>
      
Barry, K. R., Hill, T. C. J., Levin, E. J. T., Twohy, C. H., Moore, K. A.,
Weller, Z. D., Toohey, D. W., Reeves, M., Campos, T., Geiss, R., Schill,
G. P., Fischer, E. V., Kreidenweis, S. M., and DeMott, P. J.: Observations of
ice nucleating particles in the free troposphere from western US wildfires,
J. Geophys. Res.-Atmos., 126, e2020JD033752,
<a href="https://doi.org/10.1029/2020JD033752" target="_blank">https://doi.org/10.1029/2020JD033752</a>, 2021.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>Bauduin et al.(2014)</label><mixed-citation>
      
Bauduin, S., Clarisse, L., Clerbaux, C., Hurtmans, D., and Coheur, P.-F.:
IASI observations of sulfur dioxide (SO2) in the boundary layer of
Norilsk, J. Geophys. Res.-Atmos., 119, 4253–4263,
<a href="https://doi.org/10.1002/2013JD021405" target="_blank">https://doi.org/10.1002/2013JD021405</a>, 2014.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>Baumgardner et al.(2017)</label><mixed-citation>
      
Baumgardner, D., Abel, S. J., Axisa, D., Cotton, R., Crosier, J., Field, P.,
Gurganus, C., Heymsfield, A., Korolev, A., Krämer, M., Lawson, P.,
McFarquhar, G., Ulanowski, Z., and Um, J.: Cloud ice properties: In situ
measurement challenges, Meteorol. Monogr., 58, 9.1–9.23,
<a href="https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0011.1" target="_blank">https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0011.1</a>, 2017.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>Bergeron(1935)</label><mixed-citation>
      
Bergeron, T.: On the physics of clouds and precipitation, Proc. 5th Assembly
U.G.G.I., Lisbon, 2, 156–175, 1935.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>Biggart et al.(2026)</label><mixed-citation>
      
Biggart, M., Choularton, T. W., Gallagher, M. W., Bower, K. N., Lloyd, G., Connolly, P. J., Murray, B. J., Tarn, M. D., Raif, E. N., and Abel, S. J.: Secondary ice production within shallow, mixed-phase clouds in cold air outbreaks over the Labrador Sea, Atmos. Chem. Phys., 26, 13401–13439, <a href="https://doi.org/10.5194/acp-26-13401-2026" target="_blank">https://doi.org/10.5194/acp-26-13401-2026</a>, 2026.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>Bossioli et al.(2025)</label><mixed-citation>
      
Bossioli, E., Sotiropoulou, G., Karalis, M., and Abel, S. J.: A stratocumulus
to cumulus transition during a cold-air outbreak: The role of aerosols,
Atmos. Res., 325, 108211, <a href="https://doi.org/10.1016/j.atmosres.2025.108211" target="_blank">https://doi.org/10.1016/j.atmosres.2025.108211</a>,
2025.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>Boyer et al.(2023)</label><mixed-citation>
      
Boyer, M., Aliaga, D., Pernov, J. B., Angot, H., Quéléver, L. L. J., Dada, L., Heutte, B., Dall'Osto, M., Beddows, D. C. S., Brasseur, Z., Beck, I., Bucci, S., Duetsch, M., Stohl, A., Laurila, T., Asmi, E., Massling, A., Thomas, D. C., Nøjgaard, J. K., Chan, T., Sharma, S., Tunved, P., Krejci, R., Hansson, H. C., Bianchi, F., Lehtipalo, K., Wiedensohler, A., Weinhold, K., Kulmala, M., Petäjä, T., Sipilä, M., Schmale, J., and Jokinen, T.: A full year of aerosol size distribution data from the central Arctic under an extreme positive Arctic Oscillation: insights from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition, Atmos. Chem. Phys., 23, 389–415, <a href="https://doi.org/10.5194/acp-23-389-2023" target="_blank">https://doi.org/10.5194/acp-23-389-2023</a>, 2023.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>Bozem et al.(2019)</label><mixed-citation>
      
Bozem, H., Hoor, P., Kunkel, D., Köllner, F., Schneider, J., Herber, A., Schulz, H., Leaitch, W. R., Aliabadi, A. A., Willis, M. D., Burkart, J., and Abbatt, J. P. D.: Characterization of transport regimes and the polar dome during Arctic spring and summer using in situ aircraft measurements, Atmos. Chem. Phys., 19, 15049–15071, <a href="https://doi.org/10.5194/acp-19-15049-2019" target="_blank">https://doi.org/10.5194/acp-19-15049-2019</a>, 2019.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>Brown and Francis(1995)</label><mixed-citation>
      
Brown, P. and Francis, P.: Improved measurements of the ice water content in
cirrus using a total-water probe, J. Atmos. Ocean.
Tech., 12, 410–414,
<a href="https://doi.org/10.1175/1520-0426(1995)012&lt;0410:IMOTIW&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0426(1995)012&lt;0410:IMOTIW&gt;2.0.CO;2</a>, 1995.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>Brümmer and Pohlmann(2000)</label><mixed-citation>
      
Brümmer, B. and Pohlmann, S.: Wintertime roll and cell convection over
Greenland and Barents Sea regions: A climatology, J. Geophys.
Res.-Atmos., 105, 15559–15566, <a href="https://doi.org/10.1029/1999JD900841" target="_blank">https://doi.org/10.1029/1999JD900841</a>,
2000.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>Burford and Stewart(1998)</label><mixed-citation>
      
Burford, J. E. and Stewart, R. E.: The sublimation of falling snow over the
Mackenzie River Basin, Atmos. Res., 49, 289–313,
<a href="https://doi.org/10.1016/S0169-8095(98)00084-2" target="_blank">https://doi.org/10.1016/S0169-8095(98)00084-2</a>, 1998.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>Cai et al.(2026)</label><mixed-citation>
      
Cai, L., Mahant, S., Weissburg, E., Robertson, A. M., Snider, J. R., and
Petters, M. D.: Observed aerosol properties and aerosol forecast evaluation
in the Arctic region during cold air outbreaks, Atmos. Res., 335,
108781, <a href="https://doi.org/10.1016/j.atmosres.2026.108781" target="_blank">https://doi.org/10.1016/j.atmosres.2026.108781</a>, 2026.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>Chandra et al.(2018)</label><mixed-citation>
      
Chandra, A., Zuidema, P., Krueger, S., Kochanski, A., de Szoeke, S., and Zhang,
J.: Moisture distributions in tropical cold pools from equatorial Indian
Ocean observations and cloud-resolving simulations, J. Geophys. Res.-Atmos., 123, 11445–11465, <a href="https://doi.org/10.1029/2018JD028867" target="_blank">https://doi.org/10.1029/2018JD028867</a>, 2018.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>Chellappan et al.(2024)</label><mixed-citation>
      
Chellappan, S., Zuidema, P., Kirschler, S., Voigt, C., Cairns, B., Crosbie,
E. C., Ferrare, R., Hair, J., Painemal, D., Shingler, T., Shook, M.,
Thornhill, K. L., Tornow, F., and Sorooshian, A.: Microphysical evolution in
mixed-phase midlatitude marine cold-air outbreaks, J. Atmos.
Sci., 81, 1725–1747, <a href="https://doi.org/10.1175/JAS-D-23-0203.1" target="_blank">https://doi.org/10.1175/JAS-D-23-0203.1</a>, 2024.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>Chellini and Kneifel(2024)</label><mixed-citation>
      
Chellini, G. and Kneifel, S.: Turbulence as a key driver of ice aggregation and
riming in Arctic low-level mixed-phase clouds, revealed by long-term cloud
radar observations, Geophys. Res. Lett., 51, e2023GL106599,
<a href="https://doi.org/10.1029/2023GL106599" target="_blank">https://doi.org/10.1029/2023GL106599</a>, 2024.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib20"><label>Clarke et al.(2006)</label><mixed-citation>
      
Clarke, A. D., Owens, S. R., and Zhou, J.: An ultrafine sea-salt flux from
breaking waves: Implications for cloud condenstation nuclei in the remote
marine atmosphere, J. Geophys. Res.-Atmos., 111, 1–14,
<a href="https://doi.org/10.1029/2005/JD006565" target="_blank">https://doi.org/10.1029/2005/JD006565</a>, 2006.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib21"><label>Computational and Information Systems Laboratory(2025)</label><mixed-citation>
      
Computational and Information Systems Laboratory: Derecho: HPE Cray EX
System (University Community Computing), Boulder, CO, NSF National Center for
Atmospheric Research [data set], <a href="https://doi.org/10.5065/qx9a-pg09" target="_blank">https://doi.org/10.5065/qx9a-pg09</a>, 2025.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib22"><label>Cruikshank et al.(2025)</label><mixed-citation>
      
Cruikshank, O., Beamesderfer, E., Burkhart, M., Kille, N., and Robertson, A.: CAESAR: Wyoming Cloud Lidar (WCL) Level-1 Data and Imagery. Version 1.0, NSF NCAR Earth Observing Laboratory [data set], <a href="https://doi.org/10.26023/700K-PK3C-810A" target="_blank">https://doi.org/10.26023/700K-PK3C-810A</a>, 2025.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib23"><label>DeMott et al.(2025)</label><mixed-citation>
      
DeMott, P. J., Swanson, B., Creamean, J., Tobo, Y., Hill, T., Barry, K., Beck,
I. F., Frietas, G. P., Heslin-Rees, D., Lackner, C. P., Schmale, J., Krejci,
R., Zieger, P., Geerts, B., and Kreidenweis, S. M.: Ice nucleating particle
sources and transports between the Central and Southern Arctic regions
during winter cold air outbreaks, Elementa Science of the Anthropocene, 13,
<a href="https://doi.org/10.1525/elementa.2024.00063" target="_blank">https://doi.org/10.1525/elementa.2024.00063</a>, 2025.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib24"><label>Ephraim and Zuidema(2025)</label><mixed-citation>
      
Ephraim, S. and Zuidema, P.: CAESAR: GVR Data and Associated Retrievals. Version 2.0, NSF NCAR Earth Observing Laboratory [data set], <a href="https://doi.org/10.26023/36JM-V39N-R408" target="_blank">https://doi.org/10.26023/36JM-V39N-R408</a>, 2025.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib25"><label>Ephraim et al.(2025)</label><mixed-citation>
      
Ephraim, S., Zuidema, P., Juliano, T. W., Grasmick, C., Cadeddu, M., Geerts,
B., French, J., Pazmany, A., and Woods, S.: A new machine learning retrieval
of liquid water path optimized for mixed-phase cold air outbreaks using
radiometer and radar observations, J. Atmos. Ocean.
Tech., 42, 1299–1316, <a href="https://doi.org/10.1175/JTECH-D-24-0132.1" target="_blank">https://doi.org/10.1175/JTECH-D-24-0132.1</a>, 2025.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib26"><label>European Centre for Medium-Range Weather Forecasts(2019)</label><mixed-citation>
      
European Centre for Medium-Range Weather Forecasts: ERA5 Reanalysis (0.25 Degree Latitude-Longitude Grid), NSF National Center for Atmospheric Research [data set], <a href="https://doi.org/10.5065/BH6N-5N20" target="_blank">https://doi.org/10.5065/BH6N-5N20</a> (last access: 4 September 2026), updated monthly, 2019.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib27"><label>Feingold et al.(1996)</label><mixed-citation>
      
Feingold, G., Stevens, B., Cotton, W. R., and Frisch, A. S.: The relationship
between drop in-cloud residence time and drizzle production in numerically
simulated stratocumulus clouds, J. Atmos. Sci., 53,
1108–1122, <a href="https://doi.org/10.1175/1520-0469(1996)053&lt;1108:TRBDIC&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0469(1996)053&lt;1108:TRBDIC&gt;2.0.CO;2</a>, 1996.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib28"><label>Field et al.(2006)</label><mixed-citation>
      
Field, P. R., Heymsfield, A. J., and Bansemer, A.: Shattering and particle
interarrival times measured by optical array probes in ice clouds, J.
Atmos. Ocean. Tech., 23, 1357–1371,
<a href="https://doi.org/10.1175/JTECH1922.1" target="_blank">https://doi.org/10.1175/JTECH1922.1</a>, 2006.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib29"><label>Field et al.(2017)</label><mixed-citation>
      
Field, P. R., Broz̆ková, R., Chen, M., Dudhia, J., Lac, C., Hara, T.,
Honnert, R., Olson, J., Siebesma, P., de Roode, S., Tomassini, L., Hill, A.,
and McTaggart-Cowan, R.: Exploring the convective grey zone with regional
simulations of a cold air outbreak, Q. J. Roy.
Meteor. Soc., 143, 2537–2555, <a href="https://doi.org/10.1002/qj.3105" target="_blank">https://doi.org/10.1002/qj.3105</a>, 2017.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib30"><label>Findeisen(1938)</label><mixed-citation>
      
Findeisen, W.: Die kolloidmeteorologischen Vorgänge bei der
Niederschlagsbildung, Meteorol. Z., 55, 121–133, 1938.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib31"><label>Fletcher et al.(2016)</label><mixed-citation>
      
Fletcher, J. K., Mason, S., and Jakob, C.: A climatology of clouds in marine
cold air outbreaks in both hemispheres, J. Climate, 29, 6677–6692,
<a href="https://doi.org/10.1175/JCLI-D-15-0783.1" target="_blank">https://doi.org/10.1175/JCLI-D-15-0783.1</a>, 2016.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib32"><label>Fuller et al.(2023)</label><mixed-citation>
      
Fuller, S., Marlow, S. A., Haimov, S., Burkhart, M., Shaffer, K., Morgan, A., and Snider, J. R.: W-band S–Z relationships for rimed snow particles: observational evidence from combined airborne and ground-based observations, Atmos. Meas. Tech., 16, 6123–6142, <a href="https://doi.org/10.5194/amt-16-6123-2023" target="_blank">https://doi.org/10.5194/amt-16-6123-2023</a>, 2023.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib33"><label>Geerts et al.(2022)</label><mixed-citation>
      
Geerts, B., Giangrande, S. E., McFarquhar, G. M., Xue, L., Abel, S. J.,
Comstock, J. M., Crewell, S., DeMott, P. J., Ebell, K., Field, P., Hill, T.
C. J., Hunzinger, A., Jensen, M. P., Johnson, K. L., Juliano, T. W., Kollias,
P., Kosovic, B., Lackner, C., Luke, E., Lüpkes, C., Matthews, A. A.,
Neggers, R., Ovchinnikov, M., Powers, H., Shupe, M. D., Spengler, T.,
Swanson, B. E., Tjernström, M., Theisen, A. K., Wales, N. A., Wang, Y.,
Wendisch, M., and Wu, P.: The COMBLE campaign: A study of marine boundary
layer clouds in arctic cold-air outbreaks, B. Am. Meteorol. Soc., 103, E1371–E1389, <a href="https://doi.org/10.1175/BAMS-D-21-0044.1" target="_blank">https://doi.org/10.1175/BAMS-D-21-0044.1</a>,
2022.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib34"><label>Gentine et al.(2016)</label><mixed-citation>
      
Gentine, P., Garelli, A., Park, S.-B., Nie, J., Torri, G., and Kuang, Z.: Role
of surface heat fluxes underneath cold pools, Geophys. Res. Lett.,
43, 874–883, <a href="https://doi.org/10.1002/2015GL067262" target="_blank">https://doi.org/10.1002/2015GL067262</a>, 2016.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib35"><label>Ghate et al.(2019)</label><mixed-citation>
      
Ghate, V. P., Mechem, D. B., Cadeddu, M. P., Eloranta, E. W., Jensen, M. P.,
Nordeen, M. L., and Smith Jr., W. L.: Estimates of entrainment in closed
cellular marine stratocumulus clouds from the MAGIC field campaign, Q.
J. Roy. Meteor. Soc., 145, 1589–1602,
<a href="https://doi.org/10.1002/qj.3514" target="_blank">https://doi.org/10.1002/qj.3514</a>, 2019.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib36"><label>Grasmick et al.(2024)</label><mixed-citation>
      
Grasmick, C., Majewksi, A., Haimov, S., and Geerts, B.: CAESAR: Wyoming Cloud Radar (WCR) Level-2 Data. Version 1.0, NSF NCAR Earth Observing Laboratory [data set], <a href="https://doi.org/10.26023/T6HT-YS4S-YX0H" target="_blank">https://doi.org/10.26023/T6HT-YS4S-YX0H</a>, 2024.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib37"><label>Grasmick et al.(2026)</label><mixed-citation>
      
Grasmick, C., Cruikshank, O., Wang, Z., Ephraim, S., and Zuidema, P.: CAESAR: Gridded Remote Sensing Data and Value Added Products. Version 1.0, NSF NCAR Earth Observing Laboratory [data set], <a href="https://doi.org/10.26023/9SGP-MXGP-MA06" target="_blank">https://doi.org/10.26023/9SGP-MXGP-MA06</a>, 2026.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib38"><label>Gryspeerdt et al.(2019)</label><mixed-citation>
      
Gryspeerdt, E., Smith, T. W. P., O'Keeffe, E., Christensen, M. W., and
Goldsworth, F. W.: The impact of ship emission controls recorded by cloud
properties, Geophys. Res. Lett., 46, 12547–12555,
<a href="https://doi.org/10.1029/2019GL084700" target="_blank">https://doi.org/10.1029/2019GL084700</a>, 2019.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib39"><label>Hallett and Mossop(1974)</label><mixed-citation>
      
Hallett, J. and Mossop, S. C.: Production of secondary ice particles during the
riming process, Nature, 249, 26–28, <a href="https://doi.org/10.1038/249026a0" target="_blank">https://doi.org/10.1038/249026a0</a>, 1974.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib40"><label>Hersbach et al.(2020)</label><mixed-citation>
      
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A.,
Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons,
A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati,
G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D.,
Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer,
A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M.,
Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P.,
Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.: The ERA5 global
reanalysis, Q. J. Roy. Meteor. Soc., 146,
1999–2049, <a href="https://doi.org/10.1002/qj.3803" target="_blank">https://doi.org/10.1002/qj.3803</a>, 2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib41"><label>Hill et al.(2016)</label><mixed-citation>
      
Hill, T. C. J., DeMott, P. J., Tobo, Y., Fröhlich-Nowoisky, J., Moffett, B. F., Franc, G. D., and Kreidenweis, S. M.: Sources of organic ice nucleating particles in soils, Atmos. Chem. Phys., 16, 7195–7211, <a href="https://doi.org/10.5194/acp-16-7195-2016" target="_blank">https://doi.org/10.5194/acp-16-7195-2016</a>, 2016.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib42"><label>Juliano et al.(2024)</label><mixed-citation>
      
Juliano, T. W., Lackner, C. P., Geerts, B., Kosović, B., Xue, L., Wu, P., and
Olson, J. P.: Simulating mixed‐phase open cellular clouds observed during
COMBLE: Evaluation of parameterized turbulence closure, J. Geophys. Res.-Atmos., 129, <a href="https://doi.org/10.1029/2024JD040889" target="_blank">https://doi.org/10.1029/2024JD040889</a>, 2024.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib43"><label>Juliano et al.(2026)</label><mixed-citation>
      
Juliano, T. W., Tornow, F., Fridlind, A. M., Ackerman, A. S., Elsaesser, G. S., Geerts, B., Lackner, C. P., Painemal, D., Silber, I., Ovchinnikov, M., Svensson, G., Tjernström, M., Wu, P., Baró Pérez, A., Bogenschutz, P., Chechin, D., Chandrakar, K. K., Chylik, J., Debolskiy, A., Fadeev, R., Gupta, A., Ickes, L., Karalis, M., Köhler, M., Kosović, B., Kuma, P., Li, W., Mortikov, E., Morrison, H., Neggers, R. A. J., Possner, A., Raatikainen, T., Romakkaniemi, S., Schnierstein, N., Shima, S., Silin, N., Tolstykh, M., Xue, L., Zhang, M., and Zheng, X.: The Cold-Air Outbreaks in the Marine Boundary Layer Experiment model-observation intercomparison project (COMBLE-MIP), Part I: Model specification, observational constraints, and preliminary findings, EGUsphere [preprint], <a href="https://doi.org/10.5194/egusphere-2025-6217" target="_blank">https://doi.org/10.5194/egusphere-2025-6217</a>, 2026.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib44"><label>Karalis et al.(2022)</label><mixed-citation>
      
Karalis, M., Sotiropoulou, G., Abel, S. J., Bossioli, E., Georgakaki, P.,
Methymaki, G., Nenes, A., and Tombrou, M.: Effects of secondary ice processes
on a stratocumulus to cumulus transition during a cold-air outbreak,
Atmos. Res., 277, 106302, <a href="https://doi.org/10.1016/j.atmosres.2022.106302" target="_blank">https://doi.org/10.1016/j.atmosres.2022.106302</a>,
2022.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib45"><label>Kaser et al.(2017)</label><mixed-citation>
      
Kaser, L., Patton, E. G., Pfister, G. G., Weinheimer, A. J., Montzka, D. D.,
Flocke, F., Thompson, A. M., Stauffer, R. M., and Halliday, H. S.: The effect
of entrainment through atmospheric boundary layer growth on observed and
modeled surface ozone in the Colorado Front Range, J. Geophys. Res.-Atmos., 122, 6075–6093, <a href="https://doi.org/10.1002/2016JD026245" target="_blank">https://doi.org/10.1002/2016JD026245</a>, 2017.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib46"><label>Kecorius et al.(2019)</label><mixed-citation>
      
Kecorius, S., Vogl, T., Paasonen, P., Lampilahti, J., Rothenberg, D., Wex, H., Zeppenfeld, S., van Pinxteren, M., Hartmann, M., Henning, S., Gong, X., Welti, A., Kulmala, M., Stratmann, F., Herrmann, H., and Wiedensohler, A.: New particle formation and its effect on cloud condensation nuclei abundance in the summer Arctic: a case study in the Fram Strait and Barents Sea, Atmos. Chem. Phys., 19, 14339–14364, <a href="https://doi.org/10.5194/acp-19-14339-2019" target="_blank">https://doi.org/10.5194/acp-19-14339-2019</a>, 2019.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib47"><label>Khain et al.(2001)</label><mixed-citation>
      
Khain, A., Pinsky, M., Shapiro, M., and Pokrovsky, A.: Collision rate of small
graupel and water drops, J. Atmos. Sci., 58, 2571–2595, <a href="https://doi.org/10.1175/1520-0469(2001)058&lt;2571:CROSGA&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0469(2001)058&lt;2571:CROSGA&gt;2.0.CO;2</a>, 2001.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib48"><label>Kirbus et al.(2023)</label><mixed-citation>
      
Kirbus, B., Chylik, J., Ehrlich, A., Becker, S., Schäfer, M., Neggers, R.,
and Wendisch, M.: Analysis of an Arctic cold air outbreak during autumn and
related air mass transformations forced by surface changes and advection in
higher altitudes, Elementa: Science of the Anthropocene, 11,
<a href="https://doi.org/10.1525/elementa.2023.00079" target="_blank">https://doi.org/10.1525/elementa.2023.00079</a>, 2023.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib49"><label>Korolev and Isaac(2003)</label><mixed-citation>
      
Korolev, A. and Isaac, G.: Roundness and aspect ratio of particles in ice
clouds, J. Atmos. Sci., 60, 1795–1808,
<a href="https://doi.org/10.1175/1520-0469(2003)060&lt;1795:RAAROP&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0469(2003)060&lt;1795:RAAROP&gt;2.0.CO;2</a>, 2003.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib50"><label>Korolev and Leisner(2020)</label><mixed-citation>
      
Korolev, A. and Leisner, T.: Review of experimental studies of secondary ice production, Atmos. Chem. Phys., 20, 11767–11797, <a href="https://doi.org/10.5194/acp-20-11767-2020" target="_blank">https://doi.org/10.5194/acp-20-11767-2020</a>, 2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib51"><label>Lance(2012)</label><mixed-citation>
      
Lance, S.: Coincidence errors in a Cloud Droplet Probe (CDP) and a Cloud and
Aerosol Spectrometer (CAS), and the improved performance of a modified CDP,
J. Atmos. Ocean. Tech., 29, 1532–1541,
<a href="https://doi.org/10.1175/JTECH-D-11-00208.1" target="_blank">https://doi.org/10.1175/JTECH-D-11-00208.1</a>, 2012.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib52"><label>Lance et al.(2010)</label><mixed-citation>
      
Lance, S., Brock, C. A., Rogers, D., and Gordon, J. A.: Water droplet calibration of the Cloud Droplet Probe (CDP) and in-flight performance in liquid, ice and mixed-phase clouds during ARCPAC, Atmos. Meas. Tech., 3, 1683–1706, <a href="https://doi.org/10.5194/amt-3-1683-2010" target="_blank">https://doi.org/10.5194/amt-3-1683-2010</a>, 2010.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib53"><label>Lance et al.(2011)</label><mixed-citation>
      
Lance, S., Shupe, M. D., Feingold, G., Brock, C. A., Cozic, J., Holloway, J. S., Moore, R. H., Nenes, A., Schwarz, J. P., Spackman, J. R., Froyd, K. D., Murphy, D. M., Brioude, J., Cooper, O. R., Stohl, A., and Burkhart, J. F.: Cloud condensation nuclei as a modulator of ice processes in Arctic mixed-phase clouds, Atmos. Chem. Phys., 11, 8003–8015, <a href="https://doi.org/10.5194/acp-11-8003-2011" target="_blank">https://doi.org/10.5194/acp-11-8003-2011</a>, 2011.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib54"><label>Lasher-Trapp et al.(2021)</label><mixed-citation>
      
Lasher-Trapp, S., Scott, E. L., Järvinen, E., Schnaiter, M., Waitz, F.,
DeMott, P. J., McCluskey, C. S., and Hill, T. C. J.: Observations and
modeling of rime splintering in Southern Ocean cumuli, J. Geophys. Res.-Atmos., 126, e2021JD035479,
<a href="https://doi.org/10.1029/2021JD035479" target="_blank">https://doi.org/10.1029/2021JD035479</a>, 2021.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib55"><label>Law and Stohl(2007)</label><mixed-citation>
      
Law, K. S. and Stohl, A.: Arctic air pollution: origins and impacts, Science,
315, 1537–1540, <a href="https://doi.org/10.1126/science.1137695" target="_blank">https://doi.org/10.1126/science.1137695</a>, 2007.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib56"><label>Lawson et al.(2006)</label><mixed-citation>
      
Lawson, P., O'Connor, D., Zmarzly, P., Weaver, K., Baker, B., Mo, Q., and
Jonsson, H.: The 2DS (Stereo) Probe: Design and preliminary tests of a new
airborne, high-speed, high-resolution particle imaging probe, J. Atmos. Ocean. Tech., 23, 1462–1477,
<a href="https://doi.org/10.1175/JTECH1927.1" target="_blank">https://doi.org/10.1175/JTECH1927.1</a>, 2006.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib57"><label>Li et al.(2026)</label><mixed-citation>
      
Li, J., Yang, J., Chen, M., Wang, Z., Lu, C., Jing, X., and Yang, K.: Enhanced
glaciation of Arctic mixed‐phase stratiform clouds by turbulence, J. Geophys. Res., 131, e2025JD045571,
<a href="https://doi.org/10.1029/2025JD045571" target="_blank">https://doi.org/10.1029/2025JD045571</a>, 2026.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib58"><label>Liu et al.(2014)</label><mixed-citation>
      
Liu, B., Wang, Z., Cai, Y., Wechsler, P., Kuestner, W., Burkhart, M., and
Welch, W.: Compact airborne Raman lidar for profiling aerosol, water vapor
and clouds, Optics Express, 22, 20613–20621, <a href="https://doi.org/10.1364/OE.22.020613" target="_blank">https://doi.org/10.1364/OE.22.020613</a>,
2014.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib59"><label>Liu and Deshler(2003)</label><mixed-citation>
      
Liu, P. S. K. and Deshler, T.: Causes of concentration differences between a
scanning mobility particle sizer and a condensation particle counter, Aerosol
Sci. Technol., 37, 916–923, <a href="https://doi.org/10.1080/02786820300931" target="_blank">https://doi.org/10.1080/02786820300931</a>, 2003.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib60"><label>Lloyd et al.(2018)</label><mixed-citation>
      
Lloyd, G., Choularton, T. W., Bower, K. N., Gallagher, M. W., Crosier, J., O'Shea, S., Abel, S. J., Fox, S., Cotton, R., and Boutle, I. A.: In situ measurements of cloud microphysical and aerosol properties during the break-up of stratocumulus cloud layers in cold air outbreaks over the North Atlantic, Atmos. Chem. Phys., 18, 17191–17206, <a href="https://doi.org/10.5194/acp-18-17191-2018" target="_blank">https://doi.org/10.5194/acp-18-17191-2018</a>, 2018.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib61"><label>Lyrchikova(2023)</label><mixed-citation>
      
Lyrchikova, A.: Nornickel starts sulphur dioxide capture in Russia's most
polluted city,
<a href="https://www.reuters.com/markets/commodities/nornickel-starts-sulphur-dioxide-capture-russias-most-polluted-city-2023-10-25/" target="_blank">https://www.reuters.com/markets/commodities/nornickel-starts-sulphur-dioxide-capture-russias-most-polluted-city-2023-10-25/</a> (last access: 4 September 2026),
2023.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib62"><label>McCoy et al.(2017)</label><mixed-citation>
      
McCoy, I. L., Wood, R., and Fletcher, J. K.: Identifying meteorological
controls on open and closed mesoscale cellular convection associated with
marine cold air outbreaks, J. Geophys. Res.-Atmos., 122,
11678–11702, <a href="https://doi.org/10.1002/2017JD027031" target="_blank">https://doi.org/10.1002/2017JD027031</a>, 2017.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib63"><label>McCoy et al.(2021)</label><mixed-citation>
      
McCoy, I. L., Bretherton, C., Wood, R., Twohy, C., Gettelman, A., Bardeen, C.,
and Toohey, D.: Influences of recent particle formation on Southern Ocean
aerosol variability and low cloud properties, J. Geophys. Res.-Atmos., 126, e2020JD033529,
<a href="https://doi.org/10.1029/2020JD033529" target="_blank">https://doi.org/10.1029/2020JD033529</a>, 2021.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib64"><label>McGinnity et al.(2026)</label><mixed-citation>
      
McGinnity, F., Wang, Z., Lin, G., Zuidema, P., Geerts, B., Cassano, J.,
Ephraim, S., and Chu, Y.: Spatially resolved latent and sensible heat fluxes
in the boundary layer of a cold air outbreak using airborne wavelet analysis:
A CAESAR case study, ESS Open Archive [preprint],
<a href="https://doi.org/10.22541/essoar.15002448/v1" target="_blank">https://doi.org/10.22541/essoar.15002448/v1</a>, 2026.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib65"><label>Moore et al.(2024)</label><mixed-citation>
      
Moore, K. A., Hill, T. C. J., McCluskey, C. S., Twohy, C. H., Rainwater, B.,
Toohey, D. W., Sanchez, K. J., Kreidenweis, S. M., and DeMott, P. J.:
Characterizing ice nucleating particles over the Southern Ocean using
simultaneous aircraft and ship observations, J. Geophys. Res.-Atmos., 129, e2023JD039543, <a href="https://doi.org/10.1029/2023JD039543" target="_blank">https://doi.org/10.1029/2023JD039543</a>, 2024.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib66"><label>Morales and Nenes(2010)</label><mixed-citation>
      
Morales, R. and Nenes, A.: Characteristic updrafts for computing
distribution-averaged cloud droplet number and stratocumulus cloud
properties, J. Geophys. Res.-Atmos., 115,
<a href="https://doi.org/10.1029/2009JD013233" target="_blank">https://doi.org/10.1029/2009JD013233</a>, 2010.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib67"><label>Müller et al.(2017)</label><mixed-citation>
      
Müller, M., Batrak, Y., Kristiansen, J., Køltzow, M., Noer, G., and
Korosov, A.: Characteristics of a convective-scale weather forecasting system
for the European Arctic, Mon. Weather Rev., 145, 4771–4787,
<a href="https://doi.org/10.1175/MWR-D-17-0194.1" target="_blank">https://doi.org/10.1175/MWR-D-17-0194.1</a>, 2017.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib68"><label>Murray-Watson et al.(2023)</label><mixed-citation>
      
Murray-Watson, R. J., Gryspeerdt, E., and Goren, T.: Investigating the development of clouds within marine cold-air outbreaks, Atmos. Chem. Phys., 23, 9365–9383, <a href="https://doi.org/10.5194/acp-23-9365-2023" target="_blank">https://doi.org/10.5194/acp-23-9365-2023</a>, 2023.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib69"><label>Narizhnaya and Chernokulsky(2024)</label><mixed-citation>
      
Narizhnaya, A. and Chernokulsky, A.: Cloud characteristics during intense cold
air outbreaks over the Barents Sea based on satellite data, Atmosphere, 15,
<a href="https://doi.org/10.3390/atmos15030317" target="_blank">https://doi.org/10.3390/atmos15030317</a>, 317, 2024.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib70"><label>Newman et al.(2025)</label><mixed-citation>
      
Newman, E. P., Geerts, B., Doyle, J. D., Grasmick, C., Zuidema, P., Ephraim,
S., and Wang, Z.: Airborne observations of the vertical structure of a polar
low in the Norwegian Sea, Mon. Weather Rev., 154, 54–77,
<a href="https://doi.org/10.1175/MWR-D-25-0109.1" target="_blank">https://doi.org/10.1175/MWR-D-25-0109.1</a>, 2025.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib71"><label>Nilsen(2019)</label><mixed-citation>
      
Nilsen, T.: Norilsk tops world's list of worst SO2 polluters,
<a href="https://www.thebarentsobserver.com/climate-crisis/norilsk-tops-worlds-list-of-worst-so2-polluters/104667" target="_blank">https://www.thebarentsobserver.com/climate-crisis/norilsk-tops-worlds-list-of-worst-so2-polluters/104667</a> (last access: 4 September 2026),
2019.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib72"><label>Norgren et al.(2018)</label><mixed-citation>
      
Norgren, M. S., de Boer, G., and Shupe, M. D.: Observed aerosol suppression of cloud ice in low-level Arctic mixed-phase clouds, Atmos. Chem. Phys., 18, 13345–13361, <a href="https://doi.org/10.5194/acp-18-13345-2018" target="_blank">https://doi.org/10.5194/acp-18-13345-2018</a>, 2018.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib73"><label>NSF/NCAR C-130 Team(2025)</label><mixed-citation>
      
NSF/NCAR C-130 Team: Low Rate (LRT – 1 sps) Navigation, State Parameter, and Microphysics Flight-Level Data. Version 1.4, NSF NCAR Earth Observing Laboratory [data set], <a href="https://doi.org/10.26023/44NW-3RPN-ZF0B" target="_blank">https://doi.org/10.26023/44NW-3RPN-ZF0B</a>, 2025.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib74"><label>NSF/NCAR C-130 Team(2026)</label><mixed-citation>
      
NSF/NCAR C-130 Team: High Rate (HRT – 25 sps) Navigation, State Parameter, and Microphysics Flight-Level Data. Version 1.1, NSF NCAR Earth Observing Laboratory [data set], <a href="https://doi.org/10.26023/X2W9-12BD-6C0S" target="_blank">https://doi.org/10.26023/X2W9-12BD-6C0S</a>, 2026.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib75"><label>Papritz and Spengler(2017)</label><mixed-citation>
      
Papritz, L. and Spengler, T.: A Lagrangian climatology of wintertime cold air
outbreaks in the Irminger and Nordic Seas and their role in shaping
air–sea heat fluxes, J. Climate, 30, 2717–2737,
<a href="https://doi.org/10.1175/JCLI-D-16-0605.1" target="_blank">https://doi.org/10.1175/JCLI-D-16-0605.1</a>, 2017.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib76"><label>Papritz et al.(2015)</label><mixed-citation>
      
Papritz, L., Pfahl, S., Sodemann, H., and Wernli, H.: A climatology of cold air
outbreaks and their impact on air–sea heat fluxes in the high-latitude
South Pacific, J. Climate, 28, 342–364,
<a href="https://doi.org/10.1175/JCLI-D-14-00482.1" target="_blank">https://doi.org/10.1175/JCLI-D-14-00482.1</a>, 2015.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib77"><label>Patnaude et al.(2025)</label><mixed-citation>
      
Patnaude, R. J., McCluskey, C. S., Roberts, G. C., DeMott, P. J., Hill, T.
C. J., McFarquhar, G. M., Kollias, P., Ranjbar, K., Wolde, M., and
Kreidenweis, S. M.: Characteristics of ice nucleating particles from the
long-range transport of Saharan dust, Geophys. Res. Lett., 52,
e2024GL113365, <a href="https://doi.org/10.1029/2024GL113365" target="_blank">https://doi.org/10.1029/2024GL113365</a>, 2025.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib78"><label>Pearson et al.(2026)</label><mixed-citation>
      
Pearson, G. R. L., Zuidema, P., Kirschler, S., Menekay, D., Siu, L. W.,
Sorooshian, A., Thornhill, K. L., Voigt, C., and Ziemba, L.: Secondary ice
production occurs predominantly between −8&thinsp;°C to −3&thinsp;°C in
midlatitude winter mixed-phase marine cold air outbreaks, ESS Open Archive [preprint], <a href="https://doi.org/10.22541/essoar.15002290/v1" target="_blank">https://doi.org/10.22541/essoar.15002290/v1</a>,
2026.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib79"><label>Perkins and Barry(2025)</label><mixed-citation>
      
Perkins, R. and Barry, K.: CAESAR: C-130 Ice Spectrometer Measurements. Version 1.0, NSF NCAR Earth Observing Laboratory [data set], <a href="https://doi.org/10.26023/P9VX-CD1Y-4Z03" target="_blank">https://doi.org/10.26023/P9VX-CD1Y-4Z03</a>, 2025.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib80"><label>Perkins and Patnaude(2024)</label><mixed-citation>
      
Perkins, R. and Patnaude, R.: CAESAR: Continuous Flow Diffusion Chamber (CFDC) Measurements. Version 1.0, NSF NCAR Earth Observing Laboratory [data set], <a href="https://doi.org/10.26023/6DMM-FYWB-RN11" target="_blank">https://doi.org/10.26023/6DMM-FYWB-RN11</a>, 2024.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib81"><label>Petters(2025)</label><mixed-citation>
      
Petters, M.: Julia wrapper for the Pyrcel model, GitHub [code], <a href="https://github.com/mdp-aerosol-group/Pyrcel.jl" target="_blank"/>, last access: 7 October 2025.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib82"><label>Petters and Cai(2025a)</label><mixed-citation>
      
Petters, M. and Cai, L.: CAESAR: University of California, Riverside Mobility Size Distribution Data. Version 1.0, NSF NCAR Earth Observing Laboratory [data set], <a href="https://doi.org/10.26023/M31B-VN13-Q30X" target="_blank">https://doi.org/10.26023/M31B-VN13-Q30X</a>, 2025a.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib83"><label>Petters and Cai(2025b)</label><mixed-citation>
      
Petters, M. and Cai, L.: CAESAR: University of California, Riverside Single Particle Soot Photometer (SP2) Data. Version 1.0. NSF NCAR Earth Observing Laboratory [data set], <a href="https://doi.org/10.26023/RWTP-W4E0-H30B" target="_blank">https://doi.org/10.26023/RWTP-W4E0-H30B</a>, 2025b.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib84"><label>Petters and Kreidenweis(2007)</label><mixed-citation>
      
Petters, M. D. and Kreidenweis, S. M.: A single parameter representation of hygroscopic growth and cloud condensation nucleus activity, Atmos. Chem. Phys., 7, 1961–1971, <a href="https://doi.org/10.5194/acp-7-1961-2007" target="_blank">https://doi.org/10.5194/acp-7-1961-2007</a>, 2007.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib85"><label>Pinsky et al.(2015)</label><mixed-citation>
      
Pinsky, M., Khain, A., and Korolev, A.: Phase transformations in an ascending
adiabatic mixed-phase cloud volume, J. Geophys. Res., 120,
3329–3353, <a href="https://doi.org/10.1002/2015JD023094" target="_blank">https://doi.org/10.1002/2015JD023094</a>, 2015.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib86"><label>Pisso et al.(2019)</label><mixed-citation>
      
Pisso, I., Sollum, E., Grythe, H., Kristiansen, N. I., Cassiani, M., Eckhardt, S., Arnold, D., Morton, D., Thompson, R. L., Groot Zwaaftink, C. D., Evangeliou, N., Sodemann, H., Haimberger, L., Henne, S., Brunner, D., Burkhart, J. F., Fouilloux, A., Brioude, J., Philipp, A., Seibert, P., and Stohl, A.: The Lagrangian particle dispersion model FLEXPART version 10.4, Geosci. Model Dev., 12, 4955–4997, <a href="https://doi.org/10.5194/gmd-12-4955-2019" target="_blank">https://doi.org/10.5194/gmd-12-4955-2019</a>, 2019.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib87"><label>Pokharel and Vali(2011)</label><mixed-citation>
      
Pokharel, B. and Vali, G.: Evaluation of collocated measurements of radar
reflectivity and particle sizes in ice clouds, J. Appl. Meteorol. Climatol., 50, 2104–2119, <a href="https://doi.org/10.1175/JAMC-D-10-05010.1" target="_blank">https://doi.org/10.1175/JAMC-D-10-05010.1</a>, 2011.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib88"><label>Poydenot et al.(2026)</label><mixed-citation>
      
Poydenot, F., Robbins-Blanch, N., Zhu, Z., and Vogel, R.: How rain shapes cloud-scale dynamics and mass flux in the trades, EGUsphere [preprint], <a href="https://doi.org/10.5194/egusphere-2026-1974" target="_blank">https://doi.org/10.5194/egusphere-2026-1974</a>, 2026.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib89"><label>Raif et al.(2024)</label><mixed-citation>
      
Raif, E. N., Barr, S. L., Tarn, M. D., McQuaid, J. B., Daily, M. I., Abel, S. J., Barrett, P. A., Bower, K. N., Field, P. R., Carslaw, K. S., and Murray, B. J.: High ice-nucleating particle concentrations associated with Arctic haze in springtime cold-air outbreaks, Atmos. Chem. Phys., 24, 14045–14072, <a href="https://doi.org/10.5194/acp-24-14045-2024" target="_blank">https://doi.org/10.5194/acp-24-14045-2024</a>, 2024.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib90"><label>Rothenberg and Wang(2016)</label><mixed-citation>
      
Rothenberg, D. and Wang, C.: Metamodeling of droplet activation for global
climate models, J. Atmos. Sci., 73, 1255–1272,
<a href="https://doi.org/10.1175/JAS-D-15-0223.1" target="_blank">https://doi.org/10.1175/JAS-D-15-0223.1</a>, 2016.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib91"><label>Sander and Mikkelsen(2025)</label><mixed-citation>
      
Sander, G. and Mikkelsen, E.: Arctic shipping 2013–2022: the traffic has
grown, with big variation between regions, seasons and ship types, Polar
Res., 44, <a href="https://doi.org/10.33265/polar.v44.10978" target="_blank">https://doi.org/10.33265/polar.v44.10978</a>, 2025.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib92"><label>Sandu and Stevens(2011)</label><mixed-citation>
      
Sandu, I. and Stevens, B.: On the factors modulating the stratocumulus to
cumulus transitions, J. Atmos. Sci., 68, 1865–1881,
<a href="https://doi.org/10.1175/2011JAS3614.1" target="_blank">https://doi.org/10.1175/2011JAS3614.1</a>, 2011.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib93"><label>Sansom et al.(2026)</label><mixed-citation>
      
Sansom, R. W. N., Johnson, J. S., Regayre, L. A., Lee, L. A., and Carslaw, K. S.: Strong control of the stratocumulus-to-cumulus transition time by aerosol: analysis of the joint roles of several cloud-controlling factors using Gaussian process emulation, Atmos. Chem. Phys., 26, 1713–1733, <a href="https://doi.org/10.5194/acp-26-1713-2026" target="_blank">https://doi.org/10.5194/acp-26-1713-2026</a>, 2026.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib94"><label>Sarkar et al.(2020)</label><mixed-citation>
      
Sarkar, M., Zuidema, P., Albrecht, B., Ghate, V., Jensen, J., Mohrmann, J., and
Wood, R.: Observations pertaining to precipitation within the northeast
Pacific stratocumulus-to-cumulus transition, Mon. Weather Rev., 148,
1251–1273, <a href="https://doi.org/10.1175/MWR-D-19-0235.1" target="_blank">https://doi.org/10.1175/MWR-D-19-0235.1</a>, 2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib95"><label>Schafer et al.(2024)</label><mixed-citation>
      
Schäfer, B., David, R. O., Georgakaki, P., Pasquier, J. T., Sotiropoulou, G., and Storelvmo, T.: Simulations of primary and secondary ice production during an Arctic mixed-phase cloud case from the Ny-Ålesund Aerosol Cloud Experiment (NASCENT) campaign, Atmos. Chem. Phys., 24, 7179–7202, <a href="https://doi.org/10.5194/acp-24-7179-2024" target="_blank">https://doi.org/10.5194/acp-24-7179-2024</a>, 2024.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib96"><label>Schirmacher et al.(2024)</label><mixed-citation>
      
Schirmacher, I., Schnitt, S., Klingebiel, M., Maherndl, N., Kirbus, B., Ehrlich, A., Mech, M., and Crewell, S.: Clouds and precipitation in the initial phase of marine cold-air outbreaks as observed by airborne remote sensing, Atmos. Chem. Phys., 24, 12823–12842, <a href="https://doi.org/10.5194/acp-24-12823-2024" target="_blank">https://doi.org/10.5194/acp-24-12823-2024</a>, 2024.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib97"><label>Sheikh et al.(2024)</label><mixed-citation>
      
Sheikh, M. Z., Gustavsson, K., Lévêque, E., Mehlig, B., Pumir, A., and Naso,
A.: Effect of turbulence on the collision rate between settling ice crystals
and droplets, J. Atmos. Sci., 81, 887–901,
<a href="https://doi.org/10.1175/JAS-D-23-0119.1" target="_blank">https://doi.org/10.1175/JAS-D-23-0119.1</a>, 2024.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib98"><label>Smalley et al.(2022)</label><mixed-citation>
      
Smalley, K. M., Lebsock, M. D., Eastman, R., Smalley, M., and Witte, M. K.: A Lagrangian analysis of pockets of open cells over the southeastern Pacific, Atmos. Chem. Phys., 22, 8197–8219, <a href="https://doi.org/10.5194/acp-22-8197-2022" target="_blank">https://doi.org/10.5194/acp-22-8197-2022</a>, 2022.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib99"><label>Snider(2024a)</label><mixed-citation>
      
Snider, J.: CAESAR: Ultra-High Sensitivity Aerosol Spectrometer (UHSAS) Graphics. Version 1.0, NSF NCAR Earth Observing Laboratory [data set], <a href="https://doi.org/10.26023/5VK4-AJ5D-6Q14" target="_blank">https://doi.org/10.26023/5VK4-AJ5D-6Q14</a>, 2024a.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib100"><label>Snider(2024b)</label><mixed-citation>
      
Snider, J.: CAESAR: Wyoming Cloud Condensation Nuclei (W-CCN) Counter Data and Graphics. Version 1.0, NSF NCAR Earth Observing Laboratory [data set], <a href="https://doi.org/10.26023/66WG-GRGT-K30Z" target="_blank">https://doi.org/10.26023/66WG-GRGT-K30Z</a>, 2024b.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib101"><label>Snider et al.(2006)</label><mixed-citation>
      
Snider, J. R., Petters, M. D., Wechsler, P., and Liu, P. S. K.: Supersaturation
in the Wyoming CCN Instrument, J. Atmos. Ocean. Tech.,
23, 1323–1339, <a href="https://doi.org/10.1175/JTECH1916.1" target="_blank">https://doi.org/10.1175/JTECH1916.1</a>, 2006.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib102"><label>Snider et al.(2017)</label><mixed-citation>
      
Snider, J. R., Leon, D., and Wang, Z.: Droplet concentration and spectral
broadening in Southeast Pacific stratocumulus clouds, J. Atmos. Sci., 74, 719–749, <a href="https://doi.org/10.1175/JAS-D-16-0043.1" target="_blank">https://doi.org/10.1175/JAS-D-16-0043.1</a>, 2017.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib103"><label>Sotiropoulou et al.(2020)</label><mixed-citation>
      
Sotiropoulou, G., Sullivan, S., Savre, J., Lloyd, G., Lachlan-Cope, T., Ekman, A. M. L., and Nenes, A.: The impact of secondary ice production on Arctic stratocumulus, Atmos. Chem. Phys., 20, 1301–1316, <a href="https://doi.org/10.5194/acp-20-1301-2020" target="_blank">https://doi.org/10.5194/acp-20-1301-2020</a>, 2020.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib104"><label>Spuler and Fugal(2011)</label><mixed-citation>
      
Spuler, S. M. and Fugal, J.: Design of an in-line, digital holographic imaging
system for airborne measurement of clouds, Appl. Optics, 50, 1405–1412,
<a href="https://doi.org/10.1364/AO.50.001405" target="_blank">https://doi.org/10.1364/AO.50.001405</a>, 2011.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib105"><label>Sullivan et al.(2017)</label><mixed-citation>
      
Sullivan, S., Hoose, C., and Nenes, A.: Investigating the contribution of
secondary ice production to in-cloud ice crystal numbers, J.
Geophys. Res., 122, 9391–9412, <a href="https://doi.org/10.1002/2017JD026546" target="_blank">https://doi.org/10.1002/2017JD026546</a>, 2017.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib106"><label>Takahashi et al.(1995)</label><mixed-citation>
      
Takahashi, T., Nagao, Y., and Kushiyama, Y.: Possible high ice particle
production during graupel–graupel collisions, J. Atmos. Sci., 52, 4523–4527,
<a href="https://doi.org/10.1175/1520-0469(1995)052&lt;4523:PHIPPD&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0469(1995)052&lt;4523:PHIPPD&gt;2.0.CO;2</a>, 1995.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib107"><label>Tornow et al.(2021)</label><mixed-citation>
      
Tornow, F., Ackerman, A. S., and Fridlind, A. M.: Preconditioning of overcast-to-broken cloud transitions by riming in marine cold air outbreaks, Atmos. Chem. Phys., 21, 12049–12067, <a href="https://doi.org/10.5194/acp-21-12049-2021" target="_blank">https://doi.org/10.5194/acp-21-12049-2021</a>, 2021.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib108"><label>Tornow et al.(2022)</label><mixed-citation>
      
Tornow, F., Ackerman, A. S., Fridlind, A. M., Cairns, B., Crosbie, E. C.,
Kirschler, S., Moore, R. H., Robinson, C. E., Seethala, C., Shook, M. A.,
Voigt, C., Winstead, E. L., Ziemba, L. D., and P. Zuidema, A. S.: Dilution of
boundary layer cloud condensation nucleus concentrations by free tropospheric
entrainment during marine cold air outbreaks, Geophys. Res. Lett.,
49, e2022GL098444, <a href="https://doi.org/10.1029/2022GL098444" target="_blank">https://doi.org/10.1029/2022GL098444</a>, 2022.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib109"><label>Tornow et al.(2023)</label><mixed-citation>
      
Tornow, F., Ackerman, A. S., Fridlind, A. M., Tselioudis, G., Cairns, B.,
Painemal, D., and Elsaesser, G.: On the impact of a dry intrusion driving
cloud-regime transitions in a midlatitude cold-air outbreak, J. Atmos. Sci., 80, 2881–2896, <a href="https://doi.org/10.1175/JAS-D-23-0040.1" target="_blank">https://doi.org/10.1175/JAS-D-23-0040.1</a>, 2023.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib110"><label>Tornow et al.(2025)</label><mixed-citation>
      
Tornow, F., Crosbie, E. C., Fridlind, A. M., Ackerman, A. S., D.Ziemba, L.,
Elsaesser, G., Cairns, B., Painemal, D., Chellappan, S., Zuidema, P., Voigt,
C., Kirschler, S., and Sorooshian, A.: High accumulation mode aerosol
concentration and moderate aerosol hygroscopicity limit impacts of recent
particle formation on Northwest Atlantic post-frontal clouds, Geophys. Res. Lett., 52, e2025GL116020, <a href="https://doi.org/10.1029/2025GL116020" target="_blank">https://doi.org/10.1029/2025GL116020</a>, 2025.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib111"><label>Vardiman(1978)</label><mixed-citation>
      
Vardiman, L.: The generation of secondary ice particles in clouds by
crystal–crystal collision, J. Atmos. Sci., 35, 2168–2180, <a href="https://doi.org/10.1175/1520-0469(1978)035&lt;2168:TGOSIP&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0469(1978)035&lt;2168:TGOSIP&gt;2.0.CO;2</a>, 1978.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib112"><label>Villum Team(2026)</label><mixed-citation>
      
Villum Team: Data from Villum Research Station used in: A closed-to-open cell mixed-phase cloud transition observed over the Nordic Seas under high aerosol loading and strong surface fluxes, Version 1.0, NSF NCAR Earth Observing Laboratory [data set], <a href="https://doi.org/10.26023/1HV4-NCZ7-KJ08" target="_blank">https://doi.org/10.26023/1HV4-NCZ7-KJ08</a>, 2026.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib113"><label>Wang(2025)</label><mixed-citation>
      
Wang, Z.: CAESAR: Multi-function Airborne Raman Lidar (MARLi) Data. Version 1.0, NSF NCAR Earth Observing Laboratory [data set], <a href="https://doi.org/10.26023/GCWK-RWHV-3F0E" target="_blank">https://doi.org/10.26023/GCWK-RWHV-3F0E</a>, 2025.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib114"><label>Wang and Ji(2000)</label><mixed-citation>
      
Wang, P. K. and Ji, W.: Collision efficiencies of ice crystals at
low–intermediate reynolds numbers colliding with supercooled cloud
droplets: A numerical study, J. Atmos. Sci., 57, 1001–1009, <a href="https://doi.org/10.1175/1520-0469(2000)057&lt;1001:CEOICA&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0469(2000)057&lt;1001:CEOICA&gt;2.0.CO;2</a>, 2000.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib115"><label>Wang et al.(2012)</label><mixed-citation>
      
Wang, Z., French, J., Vali, G., Wechsler, P., Haimov, S., Rodi, A., Deng, M.,
Leon, D., Snider, J., Peng, L., and Pazmany, A. L.: Single aircraft
integration of remote sensing and in situ sampling for the study of cloud
microphysics and dynamics, B. Am. Meteorol. Soc.,
93, 653–668, <a href="https://doi.org/10.1175/BAMS-D-11-00044.1" target="_blank">https://doi.org/10.1175/BAMS-D-11-00044.1</a>, 2012.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib116"><label>Wegener(1911)</label><mixed-citation>
      
Wegener, A.: Thermodynamik der Atmosphäre, J. A. Barth, Leipzig, 1911.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib117"><label>Wendisch et al.(2024)</label><mixed-citation>
      
Wendisch, M., Crewell, S., Ehrlich, A., Herber, A., Kirbus, B., Lüpkes, C., Mech, M., Abel, S. J., Akansu, E. F., Ament, F., Aubry, C., Becker, S., Borrmann, S., Bozem, H., Brückner, M., Clemen, H.-C., Dahlke, S., Dekoutsidis, G., Delanoë, J., De La Torre Castro, E., Dorff, H., Dupuy, R., Eppers, O., Ewald, F., George, G., Gorodetskaya, I. V., Grawe, S., Groß, S., Hartmann, J., Henning, S., Hirsch, L., Jäkel, E., Joppe, P., Jourdan, O., Jurányi, Z., Karalis, M., Kellermann, M., Klingebiel, M., Lonardi, M., Lucke, J., Luebke, A. E., Maahn, M., Maherndl, N., Maturilli, M., Mayer, B., Mayer, J., Mertes, S., Michaelis, J., Michalkov, M., Mioche, G., Moser, M., Müller, H., Neggers, R., Ori, D., Paul, D., Paulus, F. M., Pilz, C., Pithan, F., Pöhlker, M., Pörtge, V., Ringel, M., Risse, N., Roberts, G. C., Rosenburg, S., Röttenbacher, J., Rückert, J., Schäfer, M., Schaefer, J., Schemann, V., Schirmacher, I., Schmidt, J., Schmidt, S., Schneider, J., Schnitt, S., Schwarz, A., Siebert, H., Sodemann, H., Sperzel, T., Spreen, G., Stevens, B., Stratmann, F., Svensson, G., Tatzelt, C., Tuch, T., Vihma, T., Voigt, C., Volkmer, L., Walbröl, A., Weber, A., Wehner, B., Wetzel, B., Wirth, M., and Zinner, T.: Overview: quasi-Lagrangian observations of Arctic air mass transformations – introduction and initial results of the HALO–(𝒜 𝒞)<sup>3</sup> aircraft campaign, Atmos. Chem. Phys., 24, 8865–8892, <a href="https://doi.org/10.5194/acp-24-8865-2024" target="_blank">https://doi.org/10.5194/acp-24-8865-2024</a>, 2024.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib118"><label>Williams et al.(2024)</label><mixed-citation>
      
Williams, A. S., Dedrick, J. L., Russell, L. M., Tornow, F., Silber, I., Fridlind, A. M., Swanson, B., DeMott, P. J., Zieger, P., and Krejci, R.: Aerosol size distribution properties associated with cold-air outbreaks in the Norwegian Arctic, Atmos. Chem. Phys., 24, 11791–11805, <a href="https://doi.org/10.5194/acp-24-11791-2024" target="_blank">https://doi.org/10.5194/acp-24-11791-2024</a>, 2024.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib119"><label>Wood et al.(2011)</label><mixed-citation>
      
Wood, R., Bretherton, C. S., Leon, D., Clarke, A. D., Zuidema, P., Allen, G., and Coe, H.: An aircraft case study of the spatial transition from closed to open mesoscale cellular convection over the Southeast Pacific, Atmos. Chem. Phys., 11, 2341–2370, <a href="https://doi.org/10.5194/acp-11-2341-2011" target="_blank">https://doi.org/10.5194/acp-11-2341-2011</a>, 2011.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib120"><label>Woods(2025)</label><mixed-citation>
      
Woods, S.: CAESAR: HVPS-3 Data and Imagery. Version 1.0, NSF NCAR Earth Observing Laboratory [data set], <a href="https://doi.org/10.26023/N2NM-4PQQ-7H0C" target="_blank">https://doi.org/10.26023/N2NM-4PQQ-7H0C</a>, 2025.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib121"><label>Woods(2026)</label><mixed-citation>
      
Woods, S.: CAESAR: Fast 2D-S Data and Imagery. Version 1.2, NSF NCAR Earth Observing Laboratory [data set], <a href="https://doi.org/10.26023/NFNP-51FQ-VX00" target="_blank">https://doi.org/10.26023/NFNP-51FQ-VX00</a>, 2026.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib122"><label>Wu et al.(2016)</label><mixed-citation>
      
Wu, D., Wang, Z., Wechsler, P., Mahon, N., Deng, M., Glover, B., Burkhart, M.,
Kuestner, W., and Heesen, B.: Airborne compact rotational Raman lidar for
temperature measurement, Optics Express, 24,
<a href="https://doi.org/10.1364/OE.24.0A1210" target="_blank">https://doi.org/10.1364/OE.24.0A1210</a>, 2016.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib123"><label>Wu et al.(2025)</label><mixed-citation>
      
Wu, P., Ovchinnikov, M., Xiao, H., Lackner, C. P., Geerts, B., Tornow, F., and
Elsaesser, G.: Effect of ice number concentration on the evolution of
boundary layer clouds during Arctic marine cold-air outbreaks, J. Geophys. Res.-Atmos., 130, e2024JD041282,
<a href="https://doi.org/10.1029/2024JD041282" target="_blank">https://doi.org/10.1029/2024JD041282</a>, 2025.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib124"><label>Wyant et al.(1997)</label><mixed-citation>
      
Wyant, M. C., Bretherton, C. S., Rand, H. A., and Stevens, D. E.: Numerical
simulations and a conceptual model of the stratocumulus to trade cumulus
transition, J. Atmos. Sci., 54, 168–192,
<a href="https://doi.org/10.1175/1520-0469(1997)054&lt;0168:NSAACM&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0469(1997)054&lt;0168:NSAACM&gt;2.0.CO;2</a>,
1997.


    </mixed-citation></ref-html>
<ref-html id="bib1.bib125"><label>Wyant et al.(2022)</label><mixed-citation>
      
Wyant, M. C., Bretherton, C. S., Wood, R., Blossey, P. N., and McCoy, I. L.:
High free-tropospheric Aitken-mode aerosol concentrations buffer cloud
droplet concentrations in large-eddy simulations of precipitating
stratocumulus, J. Adv. Model. Earth Sy., 14,
e2021MS002930, <a href="https://doi.org/10.1029/2021MS002930" target="_blank">https://doi.org/10.1029/2021MS002930</a>, 2022.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib126"><label>Yamaguchi and Feingold(2015)</label><mixed-citation>
      
Yamaguchi, T. and Feingold, G.: On the relationship between open cellular convective cloud patterns and the spatial distribution of precipitation, Atmos. Chem. Phys., 15, 1237–1251, <a href="https://doi.org/10.5194/acp-15-1237-2015" target="_blank">https://doi.org/10.5194/acp-15-1237-2015</a>, 2015.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib127"><label>Yamaguchi et al.(2017)</label><mixed-citation>
      
Yamaguchi, T., Feingold, G., and Kazil, J.: Stratocumulus to cumulus transition
by drizzle, J. Adv. Model. Earth Sy., 9, 2333–2349,
<a href="https://doi.org/10.1002/2017MS001104" target="_blank">https://doi.org/10.1002/2017MS001104</a>, 2017.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib128"><label>Young et al.(2002)</label><mixed-citation>
      
Young, G. S., Kristovich, D. A. R., Hjelmfelt, M. R., and Foster, R. C.: Rolls,
streets, waves, and more, B. Am. Meteorol. Soc.,
83, 997–1002, <a href="https://doi.org/10.1175/1520-0477(2002)083&lt;0997:RSWAMA&gt;2.3.CO;2" target="_blank">https://doi.org/10.1175/1520-0477(2002)083&lt;0997:RSWAMA&gt;2.3.CO;2</a>, 2002.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib129"><label>Zhu and Zuidema(2009)</label><mixed-citation>
      
Zhu, P. and Zuidema, P.: On the use of PDF schemes to parameterize sub-grid
clouds, Geophys. Res. Lett., 36, l05807, <a href="https://doi.org/10.1029/2008GL036817" target="_blank">https://doi.org/10.1029/2008GL036817</a>,
2009.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib130"><label>Zuidema et al.(2012)</label><mixed-citation>
      
Zuidema, P., Li, Z., Hill, R. J., Bariteau, L., Rilling, B., Fairall, C.,
Brewer, W. A., Albrecht, B., and Hare, J.: On trade wind cumulus cold pools,
J. Atmos. Sci., 69, 258–280,
<a href="https://doi.org/10.1175/JAS-D-11-0143.1" target="_blank">https://doi.org/10.1175/JAS-D-11-0143.1</a>, 2012.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib131"><label>Zuidema et al.(2017)</label><mixed-citation>
      
Zuidema, P., Torri, G., Muller, C., and Chandra, A.: A survey of
precipitation-induced atmospheric cold pools over oceans and their
interactions with the larger-scale environment, Surv. Geophys., 38,
1283–1305, <a href="https://doi.org/10.1007/s10712-017-9447-x" target="_blank">https://doi.org/10.1007/s10712-017-9447-x</a>, 2017.

    </mixed-citation></ref-html>
<ref-html id="bib1.bib132"><label>Zuidema et al.(2026)</label><mixed-citation>
      
Zuidema, P., Geerts, B., McFarquhar, G., Bailey, A., Cassano, J., Doyle, J.,
French, J., Perkins, R., Petters, M., Snider, J. R., Wang, Y., Wang, Z., Cai,
L., David, R., DeMott, P. J., Dzambo, A., Grasmick, C., Järvinen, E.,
Romashkin, P., Rosky, E., Ruchti, C., Tjernström, M., Tsai, P., Veres, P.,
Vömel, H., Woods, S., Wolff, C., Zietlow, D., Allison, J., Amundsen, N.,
Aquino, J., Arendt, C., Bansemer, A., Beamesderfer, E., Caldon, E., Campos,
T., Carlsen, T., Chen, B., Cruikshank, O., Dewerd, C., Elsaesser, G.,
Ephraim, S., Goodstein, M., Gryskewicz, S., Haggerty, J., Hicks, J., Huang,
Y., Juliano, T., Kille, N., Kreidenweis, S., Kruse, C., Lamsma, B., Loehrer,
S., Lorenzo, G., Mahant, S., Majewski, A., Martrich, S., Mavis, C.,
McGinnity, F., McUmber, E., Newman, E., Niu, Q., Nguyen, L., Noer, G., Patil,
S., Patnaude, R., Pruitt, E., Ragland, J., Reeves, M., Richter, A.,
Robertson, A., Rogge, F., Sarkar, M., Schnaiter, M., Seidl, A., Sodemann, H.,
Svensson, G., Smith, W., Stringer, S., Tatro, T., Tornow, F., Velt, P.,
Weissburg, E., Wu, J., Xue, L., and Xia, Z.: Flying into the cold: First
results from the NSF Cold-Air outbreak Experiment in the Sub-ARctic (CAESAR),
B. Am. Meteorol. Soc., early online release,  BAMS–D–25–0241.1,
<a href="https://doi.org/10.1175/BAMS-D-25-0241.1" target="_blank">https://doi.org/10.1175/BAMS-D-25-0241.1</a>, 2026.

    </mixed-citation></ref-html>--></article>
