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<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>
<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-2026-755</article-id>
<title-group>
<article-title>The European Geostrophic Wind Reconstruction (EGWR): a 220-year daily record of European geostrophic wind from surface pressure (1806&amp;ndash;2026)</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Paul</surname>
<given-names>Stephan</given-names>
<ext-link>https://orcid.org/0000-0002-8813-0437</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Technical University of Munich, School of Natural Sciences, Physics Department E18, 85748 Garching, Germany</addr-line>
</aff>
<pub-date pub-type="epub">
<day>22</day>
<month>10</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>35</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Stephan Paul</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-2026-755/">This article is available from https://essd.copernicus.org/preprints/essd-2026-755/</self-uri>
<self-uri xlink:href="https://essd.copernicus.org/preprints/essd-2026-755/essd-2026-755.pdf">The full text article is available as a PDF file from https://essd.copernicus.org/preprints/essd-2026-755/essd-2026-755.pdf</self-uri>
<abstract>
<p>Spatially consistent European wind observations suitable for continental-scale analysis cover only about four decades, limiting the study of infrequent and prolonged low-wind periods. We present the European Geostrophic Wind Reconstruction (EGWR), a daily record of large-scale geostrophic wind for fourteen European regions from 1806 to 2026. EGWR is derived from surface pressure in Twentieth Century Reanalysis version 3 (20CRv3) for 1806&amp;ndash;2015 and from ERA5 thereafter. Sparse early observations smooth the ensemble-mean pressure field and systematically weaken the derived pressure gradient. A temperature-stratified decomposition identifies this as the dominant bias and attributes it to pressure-field smoothing rather than residual barometer calibration error. We correct the bias with a time-varying, region-specific, rank-preserving quantile mapping referenced to the well-observed part of the reconstruction and to ERA5.&lt;/p&gt;
&lt;p&gt;The correction restores the wind-amplitude distribution without changing the temporal ordering of the daily record. Independent validation against ERA5, observed German wind-power generation, and two long-term anemometer records shows agreement at daily and multi-day event scales. The released dataset contains the corrected regional series together with uncertainty estimates, source and quality flags, and an optional low-frequency diagnostic. Region-specific recommended start years identify the earliest periods suitable for quantitative persistence statistics. The calibration also acts as an effective 15-year high-pass filter, removing network-driven observational drift. EGWR therefore resolves daily-to-interannual variability and persistence, whereas absolute multidecadal trends require the separately provided low-frequency diagnostic. EGWR provides an observation-based, two-century baseline for studies of European wind variability, persistence, and low-wind events.</p>
</abstract>
<counts><page-count count="35"/></counts>
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