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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-2026-3206</article-id>
<title-group>
<article-title>Summer Land-Atmosphere Coupling over Europe: A Comparative Evaluation of Observation-based Datasets</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sahoo</surname>
<given-names>Monalisa</given-names>
<ext-link>https://orcid.org/0000-0002-8368-8562</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>Materia</surname>
<given-names>Stefano</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>Donat</surname>
<given-names>Markus G.</given-names>
<ext-link>https://orcid.org/0000-0002-0608-7288</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Barcelona Supercomputing Center, Barcelona, Spain</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>CMCC Foundation - Euro-Mediterranean Center on Climate Change, Bologna, Italy</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain</addr-line>
</aff>
<pub-date pub-type="epub">
<day>30</day>
<month>06</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>45</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Monalisa Sahoo 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-2026-3206/">This article is available from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-3206/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2026/egusphere-2026-3206/egusphere-2026-3206.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-3206/egusphere-2026-3206.pdf</self-uri>
<abstract>
<p>Land&amp;ndash;atmosphere coupling has long been recognized to modulate the surface fluxes partitioning in transitional evaporative regimes, where soil moisture anomalies control evapotranspiration. However, globally available in-situ observations for these variables remain limited. This study provides a comprehensive assessment of the similarities, dissimilarities, and limitations among gridded observations-based datasets of surface soil moisture, evapotranspiration, potential evapotranspiration, and 2-meter air temperature across Europe. The analysis focuses on the IPCC-defined regions of Northern Europe, Eastern Europe, Western-Central Europe, and the Mediterranean during summer (June&amp;ndash;August) for the recent 20-year period (2003&amp;ndash;2022), and evaluates and compares the representation of land&amp;ndash;atmosphere coupling across the different datasets. Results show that the temporal variation of the state variables and the spatial variability of land&amp;ndash;atmosphere coupling are mostly consistent across the different datasets. On the other hand, relevant differences in absolute values and seasonal variations can be identified. Some datasets exhibit systematically distinct annual cycle patterns compared to others across variables and regions, which is also reflected in their coupling representation in both temporal and spatial structures.</p>
</abstract>
<counts><page-count count="45"/></counts>
</article-meta>
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