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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-2025-2955</article-id>
<title-group>
<article-title>Precursor dynamical factors in the local lower atmosphere of Warm-Sector Heavy Rainfall over South China: Evidences from Wind Profiler Observations</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Li</surname>
<given-names>Wanju</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sheng</surname>
<given-names>Lifang</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>Bi</surname>
<given-names>Xueyan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Huang</surname>
<given-names>Zehao</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Luo</surname>
<given-names>Yali</given-names>
<ext-link>https://orcid.org/0000-0002-5447-3255</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>Xiao</surname>
<given-names>Shiqi</given-names>
<ext-link>https://orcid.org/0009-0009-4589-4339</ext-link>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Liu</surname>
<given-names>Chao</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</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="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wang</surname>
<given-names>Jiandong</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yang</surname>
<given-names>Yuanjian</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lolli</surname>
<given-names>Simone</given-names>
<ext-link>https://orcid.org/0000-0001-6111-152X</ext-link>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Guangzhou Institute of Tropical and Marine Meteorology, China Meteorological Administration, Guangzhou, China</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>State Key Laboratory of Climate System Prediction and Risk Management, School of Atmospheric Physics, Nanjing  University of Information Science and Technology, Nanjing 210044, China</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>School of Atmospheric Sciences and Key Laboratory of Tropical Atmosphere-Ocean System, Ministry of Education, Sun  Yat-Sen University, Zhuhai, China</addr-line>
</aff>
<aff id="aff5">
<label>5</label>
<addr-line>CNR-IMAA, Contrada S. Loja, 85050 Tito Scalo (PZ), Italy</addr-line>
</aff>
<pub-date pub-type="epub">
<day>06</day>
<month>11</month>
<year>2025</year>
</pub-date>
<volume>2025</volume>
<fpage>1</fpage>
<lpage>33</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2025 Wanju Li et al.</copyright-statement>
<copyright-year>2025</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/2025/egusphere-2025-2955/">This article is available from https://egusphere.copernicus.org/preprints/2025/egusphere-2025-2955/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2025/egusphere-2025-2955/egusphere-2025-2955.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2025/egusphere-2025-2955/egusphere-2025-2955.pdf</self-uri>
<abstract>
<p>The Warm Sector Heavy Rainfall (WSHR) is one of the most typical weather events during the early summer monsoon season in South China with instantaneous torrential rain with high locality and complex atmospheric conditions, which results in difficulties in nowcasting and hazard warning. Four dynamical and thermodynamical indices within the lower atmosphere are employed as precursor signals of WSHR over South China in 2019, including the Low-Level Jet Index (LLJI), the Vertical Wind Shear (VWS), the Atmospheric Lifting Intensity (ALI), and the Boundary Layer Height (BLH), by utilizing wind profiler radar and high-density surface observations. Regional heterogeneity in precursor signals are detected 1&amp;ndash;4 hours preceding WSHR onset. Significant ALI and WVS signals in western regions are concentrated at approximately 1.5 km height, which is affected by warm, moist advection and orographic lifting. The central region, dominated by urban agglomerations, exhibited complex precursor signal interactions, where anomalies of LLJI and BLH are significant due to combined effects of urban heat island and the presence of the double LLJ at 1 km and 2.5 km, respectively. In contrast, precursor signals are moderated by the upper-level jet and moisture transport. In addition, monsoon activities and geographical factors play important roles in the spatiotemporal distribution of precursor signals. Urbanization effects on wind field at the boundary layer have significantly changed the features of dynamical precursor signals. The urban heat effect makes the low-level wind field more unstable. This research provides fundamental insights to enhance nowcasting and hazard warning for WSHR in South China.</p>
</abstract>
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<funding-group>
<award-group id="gs1">
<funding-source>National Natural Science Foundation of China</funding-source>
<award-id>42222503</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
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