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<front>
<journal-meta>
<journal-id journal-id-type="publisher">ESSDD</journal-id>
<journal-title-group>
<journal-title>Earth System Science Data Discussions</journal-title>
<abbrev-journal-title abbrev-type="publisher">ESSDD</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Earth Syst. Sci. Data Discuss.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1866-3591</issn>
<publisher><publisher-name></publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/essd-2026-483</article-id>
<title-group>
<article-title>Shallow and deep low-wind events in Europe: an ERA5-based event dataset (1979&amp;ndash;2024)</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Zhou</surname>
<given-names>Lihong</given-names>
<ext-link>https://orcid.org/0000-0001-6557-146X</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>Esau</surname>
<given-names>Igor</given-names>
<ext-link>https://orcid.org/0000-0003-4122-6340</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Department of Physics and Technology, The Arctic University of Norway, Tromsø, 9010, Norway</addr-line>
</aff>
<pub-date pub-type="epub">
<day>19</day>
<month>08</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>22</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Lihong Zhou</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://essd.copernicus.org/preprints/essd-2026-483/">This article is available from https://essd.copernicus.org/preprints/essd-2026-483/</self-uri>
<self-uri xlink:href="https://essd.copernicus.org/preprints/essd-2026-483/essd-2026-483.pdf">The full text article is available as a PDF file from https://essd.copernicus.org/preprints/essd-2026-483/essd-2026-483.pdf</self-uri>
<abstract>
<p>Persistent low-wind events (LWEs), often referred to as wind droughts, pose a growing challenge to power systems with high shares of wind energy. Existing assessments typically identify LWEs using wind speed at a single height, implicitly treating wind droughts as vertically homogeneous. However, weak-wind conditions can exhibit different vertical structures within the atmospheric boundary layer, leading to different wind conditions at turbine height. We present an event-based dataset of European LWEs derived from hourly ERA5 reanalysis for 1979&amp;ndash;2024. The dataset introduces a two-height classification based on 10 and 100 m wind speeds. Events lasting at least 48 h are classified as shallow LWEs when wind speed is below 3 m s&lt;sup&gt;-1&lt;/sup&gt; at 10 m but above this threshold at 100 m, and as deep LWEs when wind speed remains below the threshold at both heights. Corresponding shallow-LWE-like and deep-LWE-like events are also identified for durations shorter than 48 h. The principal novelty of the dataset is that it adds a previously neglected vertical dimension to wind-drought climatology by distinguishing between weak-wind conditions confined near the surface and those that extend to turbine height. The physical plausibility of the classification is supported by distinct spatial and seasonal distributions and contrasting boundary-layer characteristics. Shallow LWEs are associated with stronger 10&amp;ndash;100 m wind contrasts and more stable surface conditions, whereas deep LWEs represent more vertically coherent weak-wind states. The dataset contains event timing, duration, location, and classification, providing a resource for investigating European wind-drought climatology, boundary-layer controls, and land&amp;ndash;sea contrasts. It also supports separate assessment of near-surface and turbine-height low-wind exposure in future renewable-energy systems. The dataset is available at &lt;a href=&quot;https://doi.org/10.5281/zenodo.20748499&quot; target=&quot;_blank&quot; rel=&quot;noopener&quot;&gt;https://doi.org/10.5281/zenodo.20748499&lt;/a&gt; (Zhou and Esau, 2026).</p>
</abstract>
<counts><page-count count="22"/></counts>
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