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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-2026-1707</article-id>
<title-group>
<article-title>Spatiotemporal Linkage and Transmission of Urban Heat Islands in the Yangtze River Delta Urban Agglomeration: The Role of Urban Heat Advection</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Xue</surname>
<given-names>Jiesheng</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>Yang</surname>
<given-names>Yuanjian</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>Ren</surname>
<given-names>Guoyu</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>Lolli</surname>
<given-names>Simone</given-names>
<ext-link>https://orcid.org/0000-0001-6111-152X</ext-link>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>State Key Laboratory of Climate System Prediction and Risk Management, School of Atmospheric Physics, Nanjing University of Information Science &amp; Technology, Nanjing 210044, China</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Department of Atmospheric Science, School of Environmental Studies, China University of Geosciences, Wuhan, 430070, China</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>CNR-IMAA, Contrada S. Loja snc, Tito Scalo (PZ), 85050, Italy</addr-line>
</aff>
<pub-date pub-type="epub">
<day>14</day>
<month>04</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>25</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Jiesheng Xue 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-2026-1707/">This article is available from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-1707/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2026/egusphere-2026-1707/egusphere-2026-1707.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-1707/egusphere-2026-1707.pdf</self-uri>
<abstract>
<p>Urban heat islands (UHIs) substantially modify the urban thermal environment, yet the contribution of non‑local processes such as urban heat advection (UHA) in dense urban agglomerations remains poorly quantified. Using five years of high‑density automatic weather station data and Weather Research and Forecasting (WRF) simulations, we investigate how UHA links canopy‑layer UHI (CUHI) and boundary‑layer UHI (BUHI) across the Suzhou-Wuxi-Changzhou metropolitan area in the Yangtze River Delta, China. UHA exhibits pronounced spatiotemporal variability, systematically transporting heat from upwind to downwind cities along the prevailing winds. Under northwesterly flow, daily‑mean UHA intensities increase from negative values in upwind regions to about 0.3 &amp;deg;C downstream, with nocturnal UHA during peak hours reaching roughly 0.6 &amp;deg;C. Observations show that nighttime UHA is nonlinearly modulated by wind speed and planetary boundary-layer height (PBLH), with maximum downstream warming under moderate winds and intermediate PBLH, whereas deep daytime convective boundary layers (PBLH &amp;ge; 800 m) dilute urban heat plumes and can reverse UHA to a net cooling effect. WRF experiments further indicate that urbanization in the upstream city of Changzhou enhances CUHII in the adjacent downstream Wuxi by up to about 0.6 &amp;deg;C (9&amp;ndash;42 %) and BUHII by up to about 0.35 &amp;deg;C (19&amp;ndash;141 %), with detectable canopy‑level warming extending beyond 100 km downwind. These results demonstrate that cross‑city UHA superposition, strongly regulated by boundary‑layer dynamics, is a key physical process coupling UHIs within urban agglomerations, requiring explicit consideration in regional climate assessments.</p>
</abstract>
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<funding-group>
<award-group id="gs1">
<funding-source>National Natural Science Foundation of China</funding-source>
<award-id>42521006</award-id>
</award-group>
<award-group id="gs2">
<funding-source>Natural Science Foundation of Jiangsu Province</funding-source>
<award-id>BK20250750</award-id>
</award-group>
</funding-group>
</article-meta>
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