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<front>
<journal-meta>
<journal-id journal-id-type="publisher">EGUsphere</journal-id>
<journal-title-group>
<journal-title>EGUsphere</journal-title>
<abbrev-journal-title abbrev-type="publisher">EGUsphere</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">EGUsphere</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub"></issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/egusphere-2026-3025</article-id>
<title-group>
<article-title>Transport Efficiency of Turbulent Parcel in the Marine Boundary Layer and Its Implications for Droplet Activation in Marine Cloud Brightening</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhao</surname>
<given-names>Pan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Chen</surname>
<given-names>Jingyi</given-names>
<ext-link>https://orcid.org/0000-0001-6347-5677</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yang</surname>
<given-names>Yang</given-names>
<ext-link>https://orcid.org/0000-0002-9008-5137</ext-link>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jia</surname>
<given-names>Yue</given-names>
<ext-link>https://orcid.org/0000-0003-2210-9050</ext-link>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yu</surname>
<given-names>Yang</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>State Key Laboratory of Climate System Prediction and Risk Management, China Meteorological Administration Aerosol-Cloud and Precipitation Key Laboratory, School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>State Key Laboratory of Climate System Prediction and Risk Management/Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control/Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology/Joint International Research Laboratory of Climate and Environment Change, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu,  China</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>School of Natural Sciences and Mathematics, University of Texas at Dallas, Richardson 75080, USA</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>Department of Earth and Environmental Sciences, Faculty of Science, The Chinese University of Hong Kong, Sha Tin, Hong Kong SAR 999077, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>26</day>
<month>06</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>35</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Pan Zhao et al.</copyright-statement>
<copyright-year>2026</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2026/egusphere-2026-3025/">This article is available from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-3025/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2026/egusphere-2026-3025/egusphere-2026-3025.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-3025/egusphere-2026-3025.pdf</self-uri>
<abstract>
<p>Marine cloud brightening (MCB) has been proposed as a potential climate intervention strategy in which sea-salt aerosols are introduced into the marine boundary layer to enhance cloud albedo by increasing cloud droplet number concentrations (CDNC). However, whether turbulent motions can efficiently transport sea-surface-released aerosols to the cloud base remains a major uncertainty in evaluating MCB feasibility. This study investigates a stratocumulus case over the tropical Southeast Atlantic using large-eddy simulation (LES) coupled with the FLEXPART Lagrangian particle dispersion model to quantify turbulent parcel transport efficiency. Short-duration releases and high-LWP stages favor stronger transport of turbulent parcels to the cloud base. For parcels released at 00:00 UTC on 24 September, the peak instantaneous arrival rate reaches 3.39 % within 15 min in d02, whereas it decreases to 1.86 % and the peak arrival time is delayed to 17 min in d04; the corresponding cumulative arrival rate decreases from 94.16 % to 79.70 %. Although the mean in-cloud residence time decreases with increasing resolution, parcels with extremely long residence times become more frequent. Under the adopted activation parameterization, higher-resolution LES simulations yield higher activation fraction (AF) because they better resolve strong cloud-base updrafts, with AF ranging from 0.73&amp;ndash;0.91 in d02 to 0.92&amp;ndash;0.96 in d04. The AF is relatively insensitive to release duration but increases under high-LWP conditions. These results provide a process-level quantification of parcel transport, in-cloud residence time, and conditional activation, establishing a physical basis for evaluating aerosol delivery constraints in MCB applications.</p>
</abstract>
<counts><page-count count="35"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>National Key Research and Development Program of China</funding-source>
<award-id>2024YFF0811400</award-id>
</award-group>
</funding-group>
</article-meta>
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