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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-2026-4113</article-id>
<title-group>
<article-title>Antecedent groundwater depletion amplifies hydrological drought severity: aquifer-river connectivity and cascading recovery in the 2022 Po Plain extreme event</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yang</surname>
<given-names>Shuhan</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>Zhao</surname>
<given-names>Weijie</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>Ravazzani</surname>
<given-names>Giovanni</given-names>
<ext-link>https://orcid.org/0000-0002-6850-0883</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>Qian</surname>
<given-names>Hui</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Liu</surname>
<given-names>Yixin</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Cao</surname>
<given-names>Zhiming</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Department of Civil and Environmental Engineering (D.I.C.A.), Politecnico di Milano, Milano, Italy</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>School of Water and Environment, Chang&apos;an University, Xi&apos;an 710054, China</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region, Ministry of Education, Chang&apos;an University, Xi&apos;an 710054, China</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>Key Laboratory of Eco-hydrology and Water Security in Arid and Semi-arid Regions, Ministry of Water Resources, Chang&apos;an University, Xi&apos;an 710054, China</addr-line>
</aff>
<aff id="aff5">
<label>5</label>
<addr-line>Academy of Yellow River Sciences of Shaanxi Province, Chang&apos;an University, Xi&apos;an 710054, China</addr-line>
</aff>
<pub-date pub-type="epub">
<day>14</day>
<month>08</month>
<year>2026</year>
</pub-date>
<volume>2026</volume>
<fpage>1</fpage>
<lpage>39</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2026 Shuhan Yang 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-2026-4113/">This article is available from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-4113/</self-uri>
<self-uri xlink:href="https://egusphere.copernicus.org/preprints/2026/egusphere-2026-4113/egusphere-2026-4113.pdf">The full text article is available as a PDF file from https://egusphere.copernicus.org/preprints/2026/egusphere-2026-4113/egusphere-2026-4113.pdf</self-uri>
<abstract>
<p>The 2022 Po River drought produced a 78 % reduction in annual discharge at Pontelagoscuro despite a precipitation deficit of only 20&amp;ndash;25 %, a discrepancy not attributable to meteorological anomalies alone. Using GRACE-FO groundwater storage anomalies (GWSA), ERA5-Land soil moisture fields, and a 25-year daily discharge record, we show that antecedent aquifer depletion altered aquife-river connectivity, amplifying the hydrological response beyond what meteorological forcing alone would predict.&lt;/p&gt;
&lt;p&gt;GWSA had reached &amp;minus;149 mm by August 2021, more than a year before the drought peak. During the 2022 irrigation season, groundwater abstraction substantially exceeded recharge once Alpine-sourced surface water became unavailable, producing the largest single-season storage loss in the 22-year satellite record (&amp;minus;246 mm, Z = &amp;minus;2.32). The recession coefficient k increased by 90.7 % between 2021 and 2022, exceeding the storage-dependent trend by 90.5 % and consistent with a threshold transition in connectivity near GWSA = &amp;minus;150 mm, a level corresponding to roughly the lowest quintile of the 2002&amp;ndash;2024 August GWSA record. Direct runoff collapsed by 72 %, leaving baseflow as the dominant hydrograph component.&lt;/p&gt;
&lt;p&gt;Recovery proceeded in three tiers: meteorological indices within 8 months, river discharge within 12 months, and soil moisture within 14 months; GWSA had not returned to historically normal levels within the observational record, leaving a period of persistent hydrological drought of at least 7 months undetected by standard precipitation-based indices. Antecedent groundwater depletion thus alters river discharge sensitivity to meteorological forcing, with recovery in groundwater-dependent irrigated basins extending well beyond the meteorological signal. We propose a diagnostic framework based on GWSA, k, and BFI as an early-warning tool for data-sparse irrigated basins.</p>
</abstract>
<counts><page-count count="39"/></counts>
<funding-group>
<award-group id="gs1">
<funding-source>China Scholarship Council</funding-source>
<award-id>No.202406560170</award-id>
</award-group>
</funding-group>
</article-meta>
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