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  <front>
    <journal-meta><journal-id journal-id-type="publisher">ACP</journal-id><journal-title-group>
    <journal-title>Atmospheric Chemistry and Physics</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ACP</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Atmos. Chem. Phys.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1680-7324</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/acp-26-15479-2026</article-id><title-group><article-title>Evidence for Hunga-Tonga eruption influence on the anomalously strong Northern-Hemisphere stratospheric polar vortex in 2024/2025</article-title><alt-title>Strengthening of the Northern polar vortex by the Hunga Tonga</alt-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Kuchar</surname><given-names>Ales</given-names></name>
          <email>ales.kuchar@boku.ac.at</email>
        <ext-link>https://orcid.org/0000-0002-3672-6626</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Stocker</surname><given-names>Matthias</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-6467-9898</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Bell</surname><given-names>Alistair</given-names></name>
          
        <ext-link>https://orcid.org/0009-0009-7987-140X</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Lehner</surname><given-names>Bruno</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Kult-Herdin</surname><given-names>Jessica</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-4874-8176</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Chiodo</surname><given-names>Gabriel</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-8079-6314</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Sukhodolov</surname><given-names>Timofei</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-7100-738X</ext-link></contrib>
        <contrib contrib-type="author" deceased="yes" corresp="no" rid="aff5 aff6">
          <name><surname>Rozanov</surname><given-names>Eugene</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-0479-4488</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Stober</surname><given-names>Gunter</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-7909-6345</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Rieder</surname><given-names>Harald E.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-2705-0801</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Institute of Meteorology and Climatology, BOKU University, Vienna, Austria</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Wegener Center for Climate and Global Change, University of Graz, Graz, Austria</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Institute of Applied Physics, Microwave Physics, University of Bern, Bern, Switzerland</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Instituto de Geociencias (IGEO), CSIC-UCM, Madrid, Spain</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>Physikalisch-Meteorologisches Observatorium Davos/World Radiation Center (PMOD/WRC),  Davos, Switzerland</institution>
        </aff>
        <aff id="aff6"><label>6</label><institution>Ozone Layer and Upper Atmosphere Research Laboratory, Saint Petersburg State University,  Saint Petersburg, Russian Federation</institution>
        </aff><author-comment content-type="deceased"><p/></author-comment>
      </contrib-group>
      <author-notes><corresp id="corr1">Ales Kuchar (ales.kuchar@boku.ac.at)</corresp></author-notes><pub-date><day>4</day><month>November</month><year>2026</year></pub-date>
      
      <volume>26</volume>
      <issue>21</issue>
      <fpage>15479</fpage><lpage>15493</lpage>
      <history>
        <date date-type="received"><day>23</day><month>January</month><year>2026</year></date>
           <date date-type="rev-request"><day>16</day><month>February</month><year>2026</year></date>
           <date date-type="rev-recd"><day>1</day><month>September</month><year>2026</year></date>
           <date date-type="accepted"><day>18</day><month>September</month><year>2026</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2026 Ales Kuchar 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://acp.copernicus.org/articles/26/15479/2026/acp-26-15479-2026.html">This article is available from https://acp.copernicus.org/articles/26/15479/2026/acp-26-15479-2026.html</self-uri><self-uri xlink:href="https://acp.copernicus.org/articles/26/15479/2026/acp-26-15479-2026.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/26/15479/2026/acp-26-15479-2026.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d2e204">The 2022 Hunga Tonga (HT) eruption injected an unprecedented amount of water vapour (WV) into the stratosphere and mesosphere, emerging as a potential multi-year driver of variability in those layers and associated climate feedbacks. Using satellite and reanalysis datasets, and ensemble simulations with the SOCOLv4 model, with and without the HT forcing, we diagnose the chain of processes linking the eruption to the exceptionally strong Northern Hemisphere stratospheric polar vortex (SPV) observed in winter 2024/2025. Satellite data show “tongues” of enhanced WV descending from the mesosphere into the polar stratosphere, collocated with ozone reductions and persistent cold anomalies, alongside a record-strong SPV. Our model with the HT forcing can reproduce the main structure of the descending plume, its effects on chemistry, and the SPV strengthening, albeit with underestimated magnitudes and an earlier onset than observed. Offline radiative transfer calculations indicate that the WV and ozone anomalies drive net radiative cooling over the polar stratosphere, which steepens meridional temperature gradients and thereby intensifies the Arctic polar vortex. The observed 2024/2025 winter thus represents a plausible manifestation of HT-induced vortex variability. Our simulations also predicted the observed shift towards more favorable conditions for sudden stratospheric warmings in the winter 2025/2026 as the WV forcing declines.</p>
  </abstract>
    
<funding-group>
<award-group id="gs1">
<funding-source>Saint Petersburg State University</funding-source>
<award-id>124032000025-1</award-id>
</award-group>
<award-group id="gs2">
<funding-source>European Commission</funding-source>
<award-id>101078127</award-id>
</award-group>
<award-group id="gs3">
<funding-source>Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung</funding-source>
<award-id>200020E_219166</award-id>
</award-group>
<award-group id="gs4">
<funding-source>European Research Council</funding-source>
<award-id>101078127</award-id>
</award-group>
<award-group id="gs5">
<funding-source>Simons Foundation</funding-source>
<award-id>SFI-MPS-SRM-00005208</award-id>
</award-group>
</funding-group>
</article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d2e216">The 2022 Hunga Tonga (HT) eruption was unprecedented in terms of (i) injection altitude up to 57 km <xref ref-type="bibr" rid="bib1.bibx50" id="paren.1"/>, (ii) the observational coverage of a direct water vapor (WV) injection of this magnitude <xref ref-type="bibr" rid="bib1.bibx65" id="paren.2"/>, and (iii) the radiatively-driven plume descent shortly after the eruption due to the highly localized moist volcanic cloud <xref ref-type="bibr" rid="bib1.bibx33" id="paren.3"/>.  Many studies have been dedicated to the impacts of the HT eruption, including changes in stratospheric and mesospheric composition <xref ref-type="bibr" rid="bib1.bibx18" id="paren.4"/>, radiation <xref ref-type="bibr" rid="bib1.bibx63 bib1.bibx52" id="paren.5"/>, and  direct <xref ref-type="bibr" rid="bib1.bibx26 bib1.bibx56 bib1.bibx61" id="paren.6"/> and indirect <xref ref-type="bibr" rid="bib1.bibx5 bib1.bibx36" id="paren.7"/> climate impacts.</p>
      <p id="d2e241">The WV inputs of HT were distributed throughout the stratosphere, and even to the mesosphere of the Southern Hemisphere subtropics in the days/weeks following the eruption <xref ref-type="bibr" rid="bib1.bibx3" id="paren.8"/>. <xref ref-type="bibr" rid="bib1.bibx51" id="text.9"/> documented positive residuals of WV over high latitudes in both hemispheres in late 2023, tied to the downward transport of WV from the HT eruption. Modelling <xref ref-type="bibr" rid="bib1.bibx19 bib1.bibx68 bib1.bibx36 bib1.bibx70" id="paren.10"/> and observational <xref ref-type="bibr" rid="bib1.bibx45 bib1.bibx57" id="paren.11"/> studies suggest that the anomalous WV induced by the HT eruption in 2022 should diminish within 5–7 years. The Antarctic dehydration likely remains the dominant WV removal pathway <xref ref-type="bibr" rid="bib1.bibx68" id="paren.12"/>, together with transport of stratospheric air to the troposphere at mid-high latitudes by the Brewer-Dobson circulation (BDC). Therefore, we expect that BDC is responsible for the downward transport of WV over middle and high latitudes during the wintertime, in analogy to the downward transport of NO<sub><italic>x</italic></sub>, produced by energetic particle precipitation, inside the polar vortex <xref ref-type="bibr" rid="bib1.bibx20" id="paren.13"><named-content content-type="pre">e.g.</named-content></xref>.</p>
      <p id="d2e274"><xref ref-type="bibr" rid="bib1.bibx36" id="text.14"/> explored a novel pathway by which water-rich volcanic eruptions, such as HT may modulate stratospheric and mesospheric conditions and influence regional surface climate. Their targeted model simulations illustrated that the excess WV can reduce meridional temperature gradients near the stratopause, leading to a negative Northern Annular Mode anomaly that propagates to the surface in late winter. Several features discussed in <xref ref-type="bibr" rid="bib1.bibx36" id="text.15"/> were reproduced by an independent atmosphere-only simulation using the NCAR model <xref ref-type="bibr" rid="bib1.bibx5" id="paren.16"><named-content content-type="post">and accompanying discussion</named-content></xref>, including mesospheric cooling at lower latitudes, which, via the thermal wind relation, has the potential to weaken the polar-night jet. Taken together, these studies suggest that HT may have provided favorable conditions for Sudden Stratospheric Warmings (SSWs) observed in NH winters following the HT eruption <xref ref-type="bibr" rid="bib1.bibx39" id="paren.17"/>.</p>

      <fig id="F1"><label>Figure 1</label><caption><p id="d2e293"><bold>(A)</bold> The average (east-west) zonal wind for 60° N at 10 hPa for the extended winter 2024/2025 (OW3) in MERRA2. This is near the peak of the polar jet maximum. <bold>(B)</bold> The eddy heat flux (EHF) averaged between 45 and 75° N at 100 hPa for the 45 d before the date indicated.</p></caption>
        <graphic xlink:href="https://acp.copernicus.org/articles/26/15479/2026/acp-26-15479-2026-f01.png"/>

      </fig>

      <p id="d2e307">Various atmospheric (and surface) signals have also been linked to a stratospheric WV increase. <xref ref-type="bibr" rid="bib1.bibx27" id="text.18"/> showed a strengthening of the stratospheric jet in boreal winter associated with the cooler lower stratospheric midlatitudes (increase of meridional temperature gradient) in response to an increased stratospheric WV. <xref ref-type="bibr" rid="bib1.bibx44" id="text.19"/> and <xref ref-type="bibr" rid="bib1.bibx59" id="text.20"/> reported a similar circulation response. This feature was indeed observed in the winter 2024/2025 when the stratospheric polar vortex was anomalously strong, reaching the climatological maximum (<inline-formula><mml:math id="M2" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 61.19 m s<sup>−1</sup>) on 24 December 2024 (see Fig. <xref ref-type="fig" rid="F1"/>A and Sect. <xref ref-type="sec" rid="Ch1.S2.SS1.SSS1"/>). There were only a few recent winters with a similarly strong and stable polar vortex in the Northern Hemisphere, i.e. 2010/2011, 2015/2016, and 2019/2020 <xref ref-type="bibr" rid="bib1.bibx41 bib1.bibx43 bib1.bibx38 bib1.bibx53" id="paren.21"/>.</p>
      <p id="d2e346">Motivated by the diverse findings of HT impacts summarized in the recent dedicated report <xref ref-type="bibr" rid="bib1.bibx3" id="paren.22"/>, the aim of this study is to document the portfolio of pathways by which the HT eruption may have modulated stratospheric and mesospheric conditions and consequently impacted the surface climate. Specifically, we aim here to answer the following questions: (i) How does the long-term response of the stratospheric polar vortex (SPV) to atmospheric composition changes following the HT eruption differ from the short-term response? (ii) Did atmospheric composition changes precondition SPV states, particularly the strong SPV observed in 2024/2025? and (iii) if so, what predictive power can be derived from comprehensive chemistry-climate model (CCM) simulations for SPV states in the coming years?</p>
      <p id="d2e352">To this end, we provide a combined observational and modelling assessment of the 2024/2025 event and its linkages to the lingering Hunga-induced moist plume. We use a reanalysis dataset and observations from MLS and SWOOSH (Sect. <xref ref-type="sec" rid="Ch1.S2.SS1"/>), together with large-ensemble SOCOLv4 simulations with and without the HT forcing (Sect. <xref ref-type="sec" rid="Ch1.S3.SS1"/>), to investigate the sensitivity of the circulation to excess WV from HT and assess the chain of processes leading to SPV strengthening (Sect. <xref ref-type="sec" rid="Ch1.S4"/>).</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Data</title>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Observational datasets</title>
<sec id="Ch1.S2.SS1.SSS1">
  <label>2.1.1</label><title>MERRA2</title>
      <p id="d2e384">Here we analyze a widely used reanalysis data set, the National Aeronautics and Space Administration (NASA) Modern Era Retrospective Analysis for Research and Applications Version 2 <xref ref-type="bibr" rid="bib1.bibx21" id="paren.23"><named-content content-type="pre">MERRA2, resolution <inline-formula><mml:math id="M4" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.625</mml:mn><mml:mi mathvariant="italic">°</mml:mi><mml:mo>×</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn><mml:mi mathvariant="italic">°</mml:mi></mml:mrow></mml:math></inline-formula>, model top at 0.01 hPa;</named-content></xref>. We extract zonal wind (ZW) for 60° N at 10 hPa and eddy heat flux (EHF) between 45 and 75° N at 100 hPa postprocessed by the NASA Ozone Watch <xref ref-type="bibr" rid="bib1.bibx32" id="paren.24"/> for the extended winter 2024/2025.</p>
</sec>
<sec id="Ch1.S2.SS1.SSS2">
  <label>2.1.2</label><title>MLS</title>
      <p id="d2e419">The Microwave Limb Sounder <xref ref-type="bibr" rid="bib1.bibx66" id="paren.25"><named-content content-type="pre">MLS;</named-content></xref> instrument onboard NASA's Aura Satellite has been operational since 2004 and provides near-global (82° S–82° N) measurements of key atmospheric constituents and temperature based on thermal microwave emissions along the Earth's limb. The MLS provides about 3500 vertical profiles per day for each species. The profiles have a vertical resolution of approximately 3 to 5 km in the stratosphere and 6 to 8 km in the mesosphere. In this study, we use Version 6 of the retrieval products for water vapor, ozone, and temperature <xref ref-type="bibr" rid="bib1.bibx40" id="paren.26"/>.</p>
      <p id="d2e430">Since May 2024, the 190 GHz subsystem in MLS, which is responsible for observing water vapor, N<sub>2</sub>O, HCN, and upper stratospheric HNO<sub>3</sub>, has been operating on a duty cycle to extend the instrument's lifetime (see <uri>https://mls.jpl.nasa.gov/</uri>, last access: 22 October 2026). The measurements are reactivated for about six days in the middle of each calendar month. Other MLS channels, including those used for ozone and temperature, remain unaffected.</p>
</sec>
<sec id="Ch1.S2.SS1.SSS3">
  <label>2.1.3</label><title>SWOOSH</title>
      <p id="d2e462">The Stratospheric Water and Ozone Satellite Homogenized (SWOOSH) version 2.72 dataset provides zonally averaged monthly profiles for water vapor and ozone. SWOOSH combines measurements from several satellite sensors, including the Stratospheric Aerosol and Gas Experiment (SAGE II &amp; III), the Upper Atmosphere Research Satellite Halogen Occultation Experiment (UARS HALOE), UARS MLS, and Aura MLS version 5.0. The retrieval artifact in the 10–8 hPa layer apparent in SWOOSH (see Fig. <xref ref-type="fig" rid="F2"/> and <xref ref-type="bibr" rid="bib1.bibx48 bib1.bibx46" id="altparen.27"/>)  has been corrected in the MLS data version 6 we use in this study.  To account for measurement offsets and biases, the data records were homogenized using “reference” satellites during times in which observations of different satellite systems overlapped. The satellite that showed the best agreement with balloon-based measurements was chosen as a reference <xref ref-type="bibr" rid="bib1.bibx15" id="paren.28"/>.</p>

      <fig id="F2" specific-use="star"><label>Figure 2</label><caption><p id="d2e475">Globally averaged water vapour (WV) anomalies (shading and labeled contours for 0.8 ppmv) in SOCOLv4 <bold>(A)</bold>, MLSv6 <bold>(B)</bold> and SWOOSH <bold>(C)</bold> for the period 202201–202511. The 10–8 hPa artifact <xref ref-type="bibr" rid="bib1.bibx46" id="paren.29"/> in WV remains apparent in SWOOSH, as it contains data from MLSv5. 0 <xref ref-type="bibr" rid="bib1.bibx14" id="paren.30"/>.</p></caption>
            <graphic xlink:href="https://acp.copernicus.org/articles/26/15479/2026/acp-26-15479-2026-f02.png"/>

          </fig>


</sec>
</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Methods</title>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>SOCOLv4 simulations</title>
      <p id="d2e518">Our set of SOCOLv4 <xref ref-type="bibr" rid="bib1.bibx64" id="paren.31"/> simulations comprises an ensemble of transient simulations with and without the HT forcing, i.e. 150 Tg of WV and 0.5 Tg of SO<sub>2</sub> have been distributed over the emission region (22–14° S, 182–186° E and 25–30 km) within 15 January similarly to the community recommendation <xref ref-type="bibr" rid="bib1.bibx69" id="paren.32"/>. We perform a 5-year spin-up before the HT eruption. Both ensembles comprise 10 ensemble members. We stress that the Quasi-Biennial Oscillation (QBO) is nudged in both simulations with and without the HT forcing. We use equatorial zonal wind at 10 hPa as a proxy for Quasi-biennial Oscillation (QBO) to demonstrate a link between QBO and the polar vortex in SOCOLv4, i.e. the so-called Holton-Tan mechanism <xref ref-type="bibr" rid="bib1.bibx24" id="paren.33"/>. For a detailed description of our SOCOLv4 simulations, we refer to Appendix A1 in <xref ref-type="bibr" rid="bib1.bibx36" id="text.34"/>.</p>
      <p id="d2e542">As indicated in <xref ref-type="bibr" rid="bib1.bibx36" id="text.35"/>, the anomalous WV following HT decays and propagates vertically too rapidly in SOCOLv4 compared with MLS/SWOOSH (cf. globally averaged WV anomaly in SOCOLv4, MLSv6 and SWOOSH in Fig. <xref ref-type="fig" rid="F2"/>) or some of the other models <xref ref-type="bibr" rid="bib1.bibx52" id="paren.36"/>. Note that the contour at 0.5 ppmv does not reach the year 2024 in SOCOLv4, unlike in SWOOSH. This limitation is well documented for the SOCOL model family: SOCOLv4 retains, as in previous SOCOL versions, a too-fast residual circulation and excessive mixing in the surf zone, and its tropical water-vapour tape-recorder signal propagates upward too rapidly <xref ref-type="bibr" rid="bib1.bibx62 bib1.bibx4 bib1.bibx64" id="paren.37"/>. Related stratospheric transport biases are also common in many CCMs, as indicated by too-young age of air (AoA) and overly rapid tropical ascent in CCM intercomparisons <xref ref-type="bibr" rid="bib1.bibx17 bib1.bibx1" id="paren.38"/>, although their magnitude and vertical/latitudinal structure vary across models.</p>
      <p id="d2e559">Overall, SOCOLv4 is adequate for broad NO<sub><italic>x</italic></sub>/HO<sub><italic>x</italic></sub>/ClO<sub><italic>x</italic></sub> driven ozone depletion/recovery studies <xref ref-type="bibr" rid="bib1.bibx64" id="paren.39"/>. The main remaining weaknesses are transport and mixing, and photolysis at large solar zenith angles over the high latitudes of the Southern Hemisphere <xref ref-type="bibr" rid="bib1.bibx25" id="paren.40"><named-content content-type="pre">e.g.</named-content></xref>.</p>
</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Offline radiative transfer simulations</title>
      <p id="d2e605">We prescribed WV and ozone anomalies from MLS for the extended winter 2024/2025 (OW3) and calculated longwave and shortwave radiative heating rates using <italic>konrad</italic>'s <xref ref-type="bibr" rid="bib1.bibx30 bib1.bibx13" id="paren.41"/> interface to the Rapid Radiative Transfer (RT) Model for General circulation models <xref ref-type="bibr" rid="bib1.bibx34" id="paren.42"><named-content content-type="pre">RRTMG;</named-content></xref>. We state that these radiative calculations are robust for various solar zenith angles. We accompany these calculations using a precise line-by-line RT simulations <xref ref-type="bibr" rid="bib1.bibx6" id="paren.43"><named-content content-type="pre">see details in</named-content></xref></p>
</sec>
<sec id="Ch1.S3.SS3">
  <label>3.3</label><title>Calculation of anomalies</title>
      <p id="d2e631">Throughout our analysis, we evaluate significance fields using the minimum local <inline-formula><mml:math id="M11" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-values from Student's <inline-formula><mml:math id="M12" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula>-test with global test statistics. Most of the illustrations in Sect. <xref ref-type="sec" rid="Ch1.S4"/> show differences between simulations with and without the HT forcing. For the MLSv6 observation, we compute local <inline-formula><mml:math id="M13" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-values as empirical two-sided rank <inline-formula><mml:math id="M14" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-values for each target month-pressure bin. We confirm this approach using local Monte Carlo <inline-formula><mml:math id="M15" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-values with 1000 samples.</p>
</sec>
<sec id="Ch1.S3.SS4">
  <label>3.4</label><title>Eliassen-Palm flux diagnostics</title>
      <p id="d2e680">We investigate the response of resolved planetary waves (PWs) using the Eliassen-Palm flux diagnostics <xref ref-type="bibr" rid="bib1.bibx2" id="paren.44"><named-content content-type="pre">EPF;</named-content></xref> applied to the SOCOLv4 6-hourly outputs. EP fluxes are computed and scaled following <xref ref-type="bibr" rid="bib1.bibx28" id="text.45"/>. The EPF convergence serves as an indicator of wave dissipation, and the EPF divergence (EPFD) indicates sourcing. We illustrate all EPF diagnostics from 1 October 2023 to 30 March 2024 in the Supplement.</p>
</sec>
<sec id="Ch1.S3.SS5">
  <label>3.5</label><title>Calculation of Southern Oscillation Index (SOI)</title>
      <p id="d2e700">We calculate the Southern Oscillation Index (SOI) using sea level pressure (SLP) standardised difference between Tahiti (17.65° S, 149.45° W) and Darwin (12.46° S, 130.84° E) as a proxy for the El Niño Southern Oscillation (ENSO). Negative and positive SOI values coincide with abnormally warm and cold ocean waters across the eastern tropical Pacific typical of El Niño and La Niña episodes, respectively.</p>
</sec>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Results</title>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>Observed changes in water vapor, ozone, and temperature</title>
      <p id="d2e720">We set the scene by illustrating the daily evolution of stratospheric dynamics in the extended winter 2024/2025 (the third observed winter after the HT eruption; thus, marked as OW3) using the MERRA2 reanalysis in Fig. <xref ref-type="fig" rid="F1"/>. Here, the zonal-mean winds diagnosed at 60° N at 10 hPa illustrate that the SPV strength exceeds the average strength during DJF 2024/2025. Next, we turn the focus to anomalies of WV, temperature, and ozone (derived from the MLS observations in Fig. <xref ref-type="fig" rid="F3"/>), to put the exceptionally strong SPV in the context of the lingering HT perturbation in polar latitudes. The WV anomalies (see Fig. <xref ref-type="fig" rid="F3"/>A) are characterized by “tongues” with concentrations of up to 2 ppmv. The first tongue appears in the mesosphere during September 2024 and continuously propagates downward with time to <inline-formula><mml:math id="M16" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 10 hPa, where it gradually weakens and dissipates by March 2025, when it merges with the stratospheric background. A second tongue forms in the mesosphere in January 2025 and also propagates downward (not shown for the chosen time frame of Fig. <xref ref-type="fig" rid="F3"/>). The WV anomaly is statistically significant (at respective <inline-formula><mml:math id="M17" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-values for given figure) over much of the descending tongue. In contrast, the negative ozone and temperature anomalies are statistically significant only locally, mainly along the upper flank of the WV tongue starting around 0.1 hPa in September and ending below 10 hPa in February (see Fig. <xref ref-type="fig" rid="F3"/>B, C), reflecting the large daily and interannual variability of polar wintertime conditions. We therefore do not interpret the 2024/2025 anomalies as uniquely attributable to HT; rather, the observations indicate a plausible HT contribution superimposed on internal dynamical variability. The temperature anomalies are followed by their positive counterparts. By October, an enhanced ozone anomaly (<inline-formula><mml:math id="M18" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:math></inline-formula> ppmv) emerged around 10 hPa, leading to effective warming due to ozone absorption of solar radiation and increased mixing and thereby masking the WV-induced cooling propagating downward. In March, we observe a significant increase and decrease in stratospheric and mesospheric polar temperatures, respectively. However, the stratospheric ozone anomalies have both  alternating positive and negative bands. This corresponds to the stratospheric final warming during which the SPV does not recover and transitions to summer conditions, with easterly winds across the stratosphere (see Fig. <xref ref-type="fig" rid="F1"/>A). The observed stratospheric and lower-mesospheric longwave cooling rates are dominated by CO<sub>2</sub> together with ozone and WV <xref ref-type="bibr" rid="bib1.bibx12 bib1.bibx10" id="paren.46"/>. The close correspondence between the WV and ozone anomalies and the diagnosed temperature response suggests the radiative cooling observed in OW3. However, a comparison with OW2 (see Fig. <xref ref-type="fig" rid="F4"/>) implies that slowly descending WV, i.e. dynamical preconditioning (see EHF in Fig. <xref ref-type="fig" rid="F1"/>B), positively feeds back on radiative cooling and strengthens the vortex. We examine this mechanism explicitly in the model simulations below.</p>

      <fig id="F3"><label>Figure 3</label><caption><p id="d2e779">Zonal mean weighted average for latitudes between 60–90° N of water vapour volume mixing ratio (VMR; shading in <bold>A</bold> and contour of 0.8 ppmv in <bold>B</bold> and <bold>C</bold>; in ppmv; monthly), ozone VMR (shading in <bold>B</bold>, in ppmv; daily)  and temperature (shading in <bold>C</bold>; in K; daily) and anomalies for the extended winter 2024/2025 (OW3) from MLS. Anomalies are expressed as differences with respect to the climatology for the period 2006–2020. Hatching <inline-formula><mml:math id="M20" display="inline"><mml:mrow><mml:mo>\</mml:mo><mml:mo>\</mml:mo><mml:mo>\</mml:mo><mml:mo>\</mml:mo></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M21" display="inline"><mml:mrow><mml:mo>/</mml:mo><mml:mo>/</mml:mo><mml:mo>/</mml:mo><mml:mo>/</mml:mo></mml:mrow></mml:math></inline-formula> show where the empirical two-sided <inline-formula><mml:math id="M22" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-values are <inline-formula><mml:math id="M23" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M24" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula>, respectively. Due to missing data, water vapour is visualized as monthly anomalies with interpolated gaps.</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/26/15479/2026/acp-26-15479-2026-f03.jpg"/>

        </fig>

      <fig id="F4"><label>Figure 4</label><caption><p id="d2e861">As Fig. <xref ref-type="fig" rid="F3"/>  but for the extended winter 2023/2024 (OW2).</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/26/15479/2026/acp-26-15479-2026-f04.jpg"/>

        </fig>

</sec>
<sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Modeled changes in water vapor, ozone, and temperature</title>
      <p id="d2e880">The downward propagating tongue  of WV during winter is captured in our SOCOLv4 ensemble. The feature emerges in the extended winter 2023/2024 (marked as the second model winter after the HT eruption, MW2; see Fig. <xref ref-type="fig" rid="F5"/>A) and winter of 2024/2025 (MW3; see Fig.  <xref ref-type="fig" rid="F6"/>A). The WV enhancement is, however, underestimated compared to observations in Fig. <xref ref-type="fig" rid="F3"/>A, especially in MW3. Given the well-documented model deficiency of accelerated transport of SOCOLv4 (discussed in detail in Sect. <xref ref-type="sec" rid="Ch1.S3.SS1"/>), we argue that the winter MW2 in our simulations is comparable to OW3 in observations (see Sect. <xref ref-type="sec" rid="Ch1.S4.SS1"/> and Fig. <xref ref-type="fig" rid="F3"/>). For the MW2 SOCOLv4 yields a similar strengthening of the vortex with a less pronounced weakening than observed at the end of OW3 (cf. Fig. <xref ref-type="fig" rid="F5"/>D at 10 hPa and Fig. <xref ref-type="fig" rid="F1"/>A). In analogy, we assume MW3 matches with the upcoming OW4, as we detail further below.</p>

      <fig id="F5"><label>Figure 5</label><caption><p id="d2e902">Weighted zonal average over 60–90° N of  water vapour volume mixing ratio (VMR; shading in <bold>A</bold> and contours of 0.5 and 1 ppmv in <bold>A</bold>, <bold>B</bold>, <bold>C</bold> and <bold>D</bold>; in ppmv),  ozone VMR (shading in <bold>B</bold>, in  ppmv),  temperature (shading in <bold>C</bold>; in K), and zonal wind at 60° N (shading in <bold>D</bold>) and Eddy Heat Flux at 100 hPa averaged over 45–75° N (EHF in m s<sup>−1</sup> K; red line in <bold>C</bold>) daily anomalies for the extended winter 2023/2024 (MW2) from SOCOLv4. Anomalies are expressed as the difference between the SOCOLv4 simulation with and without the HT forcing. Hatching <inline-formula><mml:math id="M26" display="inline"><mml:mrow><mml:mo>\</mml:mo><mml:mo>\</mml:mo><mml:mo>\</mml:mo><mml:mo>\</mml:mo></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M27" display="inline"><mml:mrow><mml:mo>/</mml:mo><mml:mo>/</mml:mo><mml:mo>/</mml:mo><mml:mo>/</mml:mo></mml:mrow></mml:math></inline-formula> show where the <inline-formula><mml:math id="M28" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-values of the <inline-formula><mml:math id="M29" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula>-test are <inline-formula><mml:math id="M30" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M31" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula>, respectively. Gray contours in <bold>(D)</bold> represent absolute values of zonal wind in the SOCOLv4 simulation with the HT forcing.</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/26/15479/2026/acp-26-15479-2026-f05.jpg"/>

        </fig>

      <fig id="F6"><label>Figure 6</label><caption><p id="d2e1019">As in Fig. <xref ref-type="fig" rid="F5"/> but for the extended winter 2024/2025 (MW3).</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/26/15479/2026/acp-26-15479-2026-f06.jpg"/>

        </fig>

      <p id="d2e1031">For MW2 (equaling OW3) we attribute the initial ozone destruction in the upper stratosphere and lower mesosphere to increased OH concentrations induced by the excess WV from the HT eruption (HO<sub><italic>x</italic></sub> cycle) and the ClO<sub><italic>x</italic></sub> activation from chlorine reservoirs (see Fig.  <xref ref-type="fig" rid="F7"/>). These coincide with a negative anomaly in NO<sub><italic>x</italic></sub> mainly attributable to cooling at these levels <xref ref-type="bibr" rid="bib1.bibx19" id="paren.47"/>. In contrast, as reported in <xref ref-type="bibr" rid="bib1.bibx19 bib1.bibx36" id="text.48"/>, the positive ozone anomaly limited to September–November and rather in the lower to mid stratosphere, similar to MLS, emerges due to increased conversion of NO<sub><italic>x</italic></sub> to the HNO<sub>3</sub> reservoir given an overall higher abundance of OH. While negative ozone and negative temperature anomalies are not statistically significant (at respective <inline-formula><mml:math id="M37" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-values for given figure) along the entire WV tongue similarly as in observations (see Fig. <xref ref-type="fig" rid="F3"/>), they are associated with a stronger SPV and correspondingly weaker poleward transport of ozone from lower latitudes reflected by the EHF (red line in Fig. <xref ref-type="fig" rid="F5"/>D) and AoA (Fig. <xref ref-type="fig" rid="F8"/>). Thus, the paired SOCOLv4 simulations indicate that HT forcing shifts the ensemble-mean circulation response toward stronger polar westerlies. However, this ensemble-mean response does not imply that individual ozone, temperature, or wind anomalies, or the full observed evolution of OW3, can be uniquely attributed to the HT forcing.</p>

      <fig id="F7"><label>Figure 7</label><caption><p id="d2e1104">Monthly zonal-mean anomalies of polar chemistry for the period 2023/2024 (MW2). Anomalies are expressed as the difference between the SOCOLv4 simulation with and without the HT forcing. Hatching <inline-formula><mml:math id="M38" display="inline"><mml:mrow><mml:mo>\</mml:mo><mml:mo>\</mml:mo><mml:mo>\</mml:mo><mml:mo>\</mml:mo></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M39" display="inline"><mml:mrow><mml:mo>/</mml:mo><mml:mo>/</mml:mo><mml:mo>/</mml:mo><mml:mo>/</mml:mo></mml:mrow></mml:math></inline-formula> show where the <inline-formula><mml:math id="M40" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-values of the <inline-formula><mml:math id="M41" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula>-test are <inline-formula><mml:math id="M42" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M43" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula>, respectively.</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/26/15479/2026/acp-26-15479-2026-f07.png"/>

        </fig>

      <fig id="F8"><label>Figure 8</label><caption><p id="d2e1178">Weighted zonal average over 60–90° N of age of air estimated as idealized age tracer volume mixing ratio monthly anomalies for the extended winter 2023/2024 (MW2). Anomalies are expressed as the difference between the SOCOLv4 simulation with and without the HT forcing and normalized to its climatological standard deviation (SD). Dots … and hatching <inline-formula><mml:math id="M44" display="inline"><mml:mrow><mml:mo>\</mml:mo><mml:mo>\</mml:mo><mml:mo>\</mml:mo><mml:mo>\</mml:mo></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M45" display="inline"><mml:mrow><mml:mo>/</mml:mo><mml:mo>/</mml:mo><mml:mo>/</mml:mo><mml:mo>/</mml:mo></mml:mrow></mml:math></inline-formula> show where the <inline-formula><mml:math id="M46" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-values of the <inline-formula><mml:math id="M47" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula>-test are <inline-formula><mml:math id="M48" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M49" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M50" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula>, respectively. The black contour line represents the contour of 1 ppmv of water vapour anomaly.</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/26/15479/2026/acp-26-15479-2026-f08.png"/>

        </fig>

      <p id="d2e1260">Next, we investigate the radiative effect of the observed changes in WV and O<sub>3</sub> on temperature via offline radiative transfer (RT) calculations (see Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/>). These RT calculations presented in Fig. <xref ref-type="fig" rid="F9"/> reveal that perturbations in both WV and ozone abundances are capable of inducing cooling rates in the order of <inline-formula><mml:math id="M52" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:math></inline-formula> to <inline-formula><mml:math id="M53" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> K d<sup>−1</sup>, with WV and ozone dominating the change in the longwave and shortwave heating rates throughout the stratosphere and in the upper layers, respectively. These heating rate anomalies are collocated with those observed (see Fig. <xref ref-type="fig" rid="F3"/>C) and simulated (see Fig. <xref ref-type="fig" rid="F5"/>C). SOCOLv4, however, does yield a weaker temperature response initially, attributable to weaker changes in shortwave heating rates following the weaker ozone anomaly than seen in the  MLS observations.</p>

      <fig id="F9" specific-use="star"><label>Figure 9</label><caption><p id="d2e1316">RRTMG radiative heating rates (longwave, shortwave and their sum) for prescribed weighted zonal average over 60–90° N of water vapour and ozone monthly anomalies from MLS for the extended winter 2024/2025 (OW3).</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/26/15479/2026/acp-26-15479-2026-f09.png"/>

        </fig>

      <fig id="F10"><label>Figure 10</label><caption><p id="d2e1327">Weighted zonal average over 60–90° N of clear-sky (offline) longwave heating rate (in K d<sup>−1</sup>) anomalies calculated using solely WV (shading in <bold>A</bold>); WV and O<sub>3</sub> (shading in <bold>B</bold>). Contour in all panels represents a WV anomaly (0.5 ppmv) as in Fig. <xref ref-type="fig" rid="F5"/>. Anomalies are expressed as the difference between the SOCOLv4 simulation with and without the HT forcing. Hatching <inline-formula><mml:math id="M57" display="inline"><mml:mrow><mml:mo>\</mml:mo><mml:mo>\</mml:mo><mml:mo>\</mml:mo><mml:mo>\</mml:mo></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M58" display="inline"><mml:mrow><mml:mo>/</mml:mo><mml:mo>/</mml:mo><mml:mo>/</mml:mo><mml:mo>/</mml:mo></mml:mrow></mml:math></inline-formula> show where the <inline-formula><mml:math id="M59" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-values of the <inline-formula><mml:math id="M60" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula>-test are <inline-formula><mml:math id="M61" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M62" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula>, respectively.</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/26/15479/2026/acp-26-15479-2026-f10.png"/>

        </fig>

      <p id="d2e1428">We confirm these calculations using the line-by-line RT simulations (see Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/>). The resulting longwave heating rates from prescribed time-evolving WV and ozone from SOCOLv4 are shown in Fig. <xref ref-type="fig" rid="F10"/>.</p>
      <p id="d2e1435">As detailed  in <xref ref-type="bibr" rid="bib1.bibx9" id="text.49"/>, the radiative-cooling recovery of SSW-induced temperature anomalies in the absence of dynamical heating is dominated by longwave radiative cooling, and is characterized by increasing <italic>e</italic>-folding times from the upper to middle stratosphere.  If we invert the <italic>e</italic>-folding times (4–7.5 d in the upper stratosphere) of <xref ref-type="bibr" rid="bib1.bibx9" id="text.50"/>, we obtain an equivalent heating-rate effect of roughly 0.13–0.25 K d<sup>−1</sup> K<sup>−1</sup>. Given that the <italic>e</italic>-folding time increases in the lower stratosphere and decreases towards the mesosphere, we expect that temperature perturbations translate into weaker and stronger heating-rate effects at lower and upper levels, respectively. In the lower stratosphere, the air cools more slowly because there is a deeper layer of atmosphere above it that absorbs the radiation, re-emits it upwards but also downwards, and thereby effectively reduces the amount of energy that can escape into space. Closer to the tropopause, the cooling effect reduces as the radiation emitted depends strongly on the background temperature itself <xref ref-type="bibr" rid="bib1.bibx9" id="paren.51"/>. This asymmetry may explain the different persistence of the heating rate anomalies at different heights that appear in Fig. <xref ref-type="fig" rid="F10"/>B. Furthermore, the pronounced positive heating rate anomaly around 1 hPa spanning from December 2024 to March 2025, consistent with enhanced longwave heating related to decreased ozone, aids in explaining the rapid change from negative to positive temperature anomalies (see Figs. <xref ref-type="fig" rid="F3"/>C and <xref ref-type="fig" rid="F5"/>C).</p>
      <p id="d2e1487">The negative temperature anomalies throughout the upper stratosphere and lower mesosphere result in an enhanced meridional temperature gradient (see Fig. <xref ref-type="fig" rid="F14"/>), which strengthens SPV via the thermal wind balance. The SPV strengthening may initially enhance vertical wave propagation during October, a time when ZW are usually weak and thus allow more PWs to propagate upwards into the stratosphere <xref ref-type="bibr" rid="bib1.bibx11" id="paren.52"/>. In this respect, we understand the simultaneously observed anomalously high EHF at 100 hPa (see Fig. <xref ref-type="fig" rid="F1"/>B) as a proxy for upward propagation of PWs <xref ref-type="bibr" rid="bib1.bibx47" id="paren.53"><named-content content-type="pre">e.g.</named-content></xref>. This way we associate the anomalously weak ZW below in the stratosphere to anomalously breaking PWs (see visualization of EPF in the Supplement, Sect. <xref ref-type="sec" rid="Ch1.S3.SS4"/>). As the cooling progresses downward, it aids the strengthening of the winds, which tend to be too strong for wave propagation <xref ref-type="bibr" rid="bib1.bibx49" id="paren.54"/>. This may confirm the nonlinearity of SPV for generally large wave forcing during the NH winter conditions <xref ref-type="bibr" rid="bib1.bibx58" id="paren.55"/>. The stronger SPV is associated with pronounced negative and positive temperature anomalies below and above, respectively. A similar dipole structure has been discussed in studies diagnosing SH high-latitude temperature trends as a consequence of ozone depletion (e.g. <xref ref-type="bibr" rid="bib1.bibx67" id="altparen.56"/>; <xref ref-type="bibr" rid="bib1.bibx29" id="altparen.57"/>). <xref ref-type="bibr" rid="bib1.bibx42" id="text.58"/> attributed the positive temperature anomaly at upper levels to increased downwelling, and thus, consequently, adiabatic warming due to enhanced gravity wave propagation. Correspondingly, stronger westerlies in the stratosphere filter eastward gravity waves while westward gravity waves propagate freely upward and deposit their momentum above.</p>
<sec id="Ch1.S4.SS2.SSS1">
  <label>4.2.1</label><title>QBO and ENSO preconditioning</title>
      <p id="d2e1533">As for MW2, we find similar “tongues” of WV and downward propagation of ozone in the SOCOLv4 simulations for MW3 (see Fig. <xref ref-type="fig" rid="F6"/>). Here, however, the excess of WV only yields up to 0.25 ppmv, and thus a much smaller magnitude compared to OW3 by MLS. This reduced WV forcing results only in a subtle cooling, which slightly strengthens the ZW, before they significantly weaken as a consequence of anomalously high EHF in December 2024 and the beginning of January 2025. This episode is followed by a recovery of SPV and collocated negative temperature anomaly propagating from the lower mesosphere to the lower stratosphere.</p>

      <fig id="F11"><label>Figure 11</label><caption><p id="d2e1540">Daily zonal-mean zonal wind at 10 hPa and 60° N based on the SOCOLv4 simulation with (ensemble mean (EM); red solid line) and without (black solid line) the HT forcing for the period 2024/2025 (MW3). The SOCOLv4 simulation with the HT forcing reveals two clusters: weak SPV (red dotted line) and strong SPV (red dashed line).</p></caption>
            <graphic xlink:href="https://acp.copernicus.org/articles/26/15479/2026/acp-26-15479-2026-f11.png"/>

          </fig>

      <fig id="F12"><label>Figure 12</label><caption><p id="d2e1551">Scatter plot of equatorial zonal wind at 10 hPa as a proxy for Quasi-biennial Oscillation (QBO) in SOCOLv4 and Southern Oscillation Index (SOI) in the simulation with the HT forcing averaged over SON. Individual dots correspond to each of the 10 ensemble members in the corresponding year and zonal wind (ZW) anomalies at 60° N averaged over DJF.</p></caption>
            <graphic xlink:href="https://acp.copernicus.org/articles/26/15479/2026/acp-26-15479-2026-f12.png"/>

          </fig>

      <fig id="F13"><label>Figure 13</label><caption><p id="d2e1563">Monthly anomaly of sea level pressure (SLP in hPa) in February 2025 (MW3). Anomalies are expressed as the difference between the SOCOLv4 simulation with and without the HT forcing. Dots … and hatching <inline-formula><mml:math id="M65" display="inline"><mml:mrow><mml:mo>\</mml:mo><mml:mo>\</mml:mo><mml:mo>\</mml:mo><mml:mo>\</mml:mo></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M66" display="inline"><mml:mrow><mml:mo>/</mml:mo><mml:mo>/</mml:mo><mml:mo>/</mml:mo><mml:mo>/</mml:mo></mml:mrow></mml:math></inline-formula> show where the <inline-formula><mml:math id="M67" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-values of the <inline-formula><mml:math id="M68" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula>-test are <inline-formula><mml:math id="M69" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M70" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M71" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula>, respectively.</p></caption>
            <graphic xlink:href="https://acp.copernicus.org/articles/26/15479/2026/acp-26-15479-2026-f13.png"/>

          </fig>

      <p id="d2e1645">The episode with the weakened ZW as a consequence of anomalously high EHF in December 2024 (MW3 in Fig. <xref ref-type="fig" rid="F6"/>) and the beginning of January 2025 can be traced back to two main clusters of ensemble members in the simulations with the HT forcing (see Fig. <xref ref-type="fig" rid="F11"/>). While one major cluster of 4 ensemble members (with mixed Southern Oscillation Index (SOI) preconditioning) strengthens SPV, the other cluster of 6 ensemble members  (with mostly positive SOI (see Fig. <xref ref-type="fig" rid="F12"/>) corresponding to La Niña preconditioning) weakens the stratospheric winds leading to the emergence of SSWs between December 2024 and January 2025. Considering the easterly phase of QBO at 10 hPa for MW3, we hypothesize that this may have preconditioned the latter cluster to a higher probability of weaker SPV or SSWs, respectively. Such interpretation is consistent with the observation that SSWs are more likely to occur during easterly QBO in tandem with either El Niño or La Niña conditions <xref ref-type="bibr" rid="bib1.bibx39" id="paren.59"/>.</p>
      <p id="d2e1657">That said, the simulated equatorial winds in the westerly QBO phase during the early stage of MW2 (see Fig. <xref ref-type="fig" rid="F12"/>) create conditions that favor a stronger SPV, consistent with the Holton–Tan mechanism <xref ref-type="bibr" rid="bib1.bibx24" id="paren.60"/>. A similar configuration occurred in OW3, when the QBO was also in its westerly phase (<uri>https://www.climate.gov/news-features/blogs/polar-vortex/predicting-chances-polar-vortex-disruption-winter</uri>, last access: 22 October 2026). Since the QBO preconditioning is identical in both simulations (with and without the HT forcing) and ENSO is uniformly sampled in SOCOLv4, encompassing both El Niño (<inline-formula><mml:math id="M72" display="inline"><mml:mrow><mml:mi mathvariant="normal">SOI</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula>) and La Niña (<inline-formula><mml:math id="M73" display="inline"><mml:mrow><mml:mi mathvariant="normal">SOI</mml:mi><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula>; as ultimately observed in OW3), we infer that the forced SPV response in MW2 arises from the HT-induced WV compared to OW3 where perhaps both QBO and the HT forcing contributed to the stronger SPV.</p>
      <p id="d2e1692">From the SOCOLv4 ensemble, yielding one cluster with easterly QBO and La Nina conditions in MW3, we hypothesize that the winter 2025/2026 (OW4)  bears an enhanced probability of SSW occurrence. As the associated wind pattern propagates downward, we consequently identify a SLP pattern characteristic of a weaker SPV, i.e., a positive SLP anomaly at the poles and a negative SLP anomaly at the mid-latitudes (see Fig. <xref ref-type="fig" rid="F13"/>).</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <label>5</label><title>Discussion and summary</title>
      <p id="d2e1708">Our study addresses the question of whether the anomalously strong Northern Hemisphere stratospheric polar vortex of the boreal winter 2024/2025 has been linked to lingering dynamical and radiative impacts of the HT eruption. For this time period, satellite data show a coherent descent of HT-related water-vapour anomalies into the high-latitude stratosphere, collocated with a marked reduction in ozone and pronounced cold anomalies in the upper stratosphere and lower mesosphere. We detail that an ensemble of SOCOLv4 simulations, with the HT forcing, is able to reproduce the main spatial patterns of this WV plume and associated ozone response. Furthermore, through offline radiative transfer calculations, we show that the WV and ozone anomalies are, in combination, sufficient to generate substantial radiative cooling, which sharpens the meridional temperature gradient (see Fig. <xref ref-type="fig" rid="F14"/>) and strengthens polar stratospheric westerly winds through thermal-wind balance.</p>

      <fig id="F14" specific-use="star"><label>Figure 14</label><caption><p id="d2e1715">As Fig. <xref ref-type="fig" rid="F5"/>,  but daily anomalies of the weighted meridional temperature gradient (K) between lower (0–20° N) and polar (60–90° N) latitude bands  for the extended winter 2023/2024 (MW2) from SOCOLv4. Anomalies are calculated as the difference between the SOCOLv4 simulation with and without the HT forcing. Hatching <inline-formula><mml:math id="M74" display="inline"><mml:mrow><mml:mo>\</mml:mo><mml:mo>\</mml:mo><mml:mo>\</mml:mo><mml:mo>\</mml:mo></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M75" display="inline"><mml:mrow><mml:mo>/</mml:mo><mml:mo>/</mml:mo><mml:mo>/</mml:mo><mml:mo>/</mml:mo></mml:mrow></mml:math></inline-formula> indicates where the <inline-formula><mml:math id="M76" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>-values of the <inline-formula><mml:math id="M77" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula>-test are <inline-formula><mml:math id="M78" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M79" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula>, respectively. Black contour line represents the zero anomaly.</p></caption>
        <graphic xlink:href="https://acp.copernicus.org/articles/26/15479/2026/acp-26-15479-2026-f14.png"/>

      </fig>

      <fig id="F15"><label>Figure 15</label><caption><p id="d2e1791">As Fig. <xref ref-type="fig" rid="F3"/>  but for the extended winter 2025/2026 (OW4).</p></caption>
        <graphic xlink:href="https://acp.copernicus.org/articles/26/15479/2026/acp-26-15479-2026-f15.jpg"/>

      </fig>

      <p id="d2e1803">The proposed mechanism, in which excess WV from HT and associated ozone changes drive radiative cooling that preconditions the polar vortex, is partly analogous to the well-documented Southern Hemisphere response to Antarctic ozone depletion in the lower stratosphere <xref ref-type="bibr" rid="bib1.bibx22" id="paren.61"/> and effects driven by energetic particle precipitation from mesospheric levels downward <xref ref-type="bibr" rid="bib1.bibx60" id="paren.62"/>. Here, however, excess stratospheric WV from HT is considered as a joint driver together with slow Brewer–Dobson descent of the HT WV anomaly, enhanced HO<sub><italic>x</italic></sub> and ClO<sub><italic>x</italic></sub> chemistry leading to upper-stratospheric/mesospheric ozone loss, and the resulting longwave and shortwave cooling where WV and ozone anomalies overlap. This cooling at the high latitudes steepens the meridional temperature gradient and, via the thermal-wind balance, favours a strong-vortex regime. At the same time, the response is strongly nonlinear: early-autumn wave activity can still transiently weaken the vortex, but once the radiatively strengthened westerlies have reached critical strength, additional wave forcing shows limited impact.</p>
      <p id="d2e1830">Taken together, the observations and paired SOCOLv4 simulations support a probabilistic interpretation: HT-related WV and ozone anomalies increased the likelihood of a stronger polar vortex while internal variability remains too large to attribute the full evolution of the observed and simulated winters to the HT forcing. Negative ozone and temperature anomalies can also arise dynamically in other strong-vortex winters; the distinctive feature of OW3 is the statistically significant HT-related WV tongue, partly overlapping with these anomalies. The weaker and more variability-dominated MW3 response further indicates that both composition forcing and dynamical preconditioning matter.</p>
      <p id="d2e1833">Several limitations temper the interpretation and generality of these findings. For one thing, the too-fast transport in SOCOLv4 causes the model to simulate the analogous 2024/2025 winter approximately one year earlier. SOCOLv4 also underestimates the amplitude of the HT-induced WV anomaly when compared with satellite records, implying that our simulated radiative cooling and dynamical response are likely conservative. However, SOCOLv4 agrees well with other models <xref ref-type="bibr" rid="bib1.bibx70" id="paren.63"/> in terms of the water vapor <inline-formula><mml:math id="M82" display="inline"><mml:mi>e</mml:mi></mml:math></inline-formula>-folding time <xref ref-type="bibr" rid="bib1.bibx36" id="paren.64"><named-content content-type="pre">cf.</named-content><named-content content-type="post">Appendix A1</named-content></xref>. Further, the radiative cooling and heating estimates rely on idealized offline calculations and thus cannot fully capture the coupling between radiation, atmospheric composition, and dynamics. In addition, our analysis is also based on a single model with a specific configuration <xref ref-type="bibr" rid="bib1.bibx64" id="paren.65"><named-content content-type="post">and references therein</named-content></xref>. Also, internal variability associated with ENSO and other tropospheric sources of internal variability may be only partially sampled by 10 ensemble members <xref ref-type="bibr" rid="bib1.bibx7 bib1.bibx5" id="paren.66"><named-content content-type="pre">e.g.</named-content></xref>. On the other hand, a sufficiently strong (volcanic) forcing can produce a robust, stronger-than-average NH polar vortex <xref ref-type="bibr" rid="bib1.bibx8" id="paren.67"/>.</p>
      <p id="d2e1867">Despite these caveats, our findings support the view that HT-induced WV and ozone anomalies have become an important multi-year driver of high-latitude winter variability. In fact, our current study and previous research detail a clear dichotomy: manifesting on the early-time scale as SPV weakening <xref ref-type="bibr" rid="bib1.bibx36" id="paren.68"/> and on the long-time scale as SPV strengthening. Furthermore, our ensemble simulations indicated that as the WV plume continues to descend and QBO/ENSO conditions evolve, the balance between strong-vortex winters and SSW-prone winters shifted once more in 2025/2026 because of the weaker WV forcing (see recent observed WV (less than 1 ppmv), ozone and temperature anomalies in Fig. <xref ref-type="fig" rid="F15"/>), with corresponding impacts on surface patterns. More generally, unprecedented eruptions like HT may act as intermittent “sources of predictability” also called “windows of forecast opportunity” for polar winter circulation <xref ref-type="bibr" rid="bib1.bibx54" id="paren.69"><named-content content-type="post">and references therein</named-content></xref>, albeit in a fundamentally probabilistic sense.</p>
      <p id="d2e1880">Future work should therefore (i) extend the analysis to coordinated multi-model HT experiments as in <xref ref-type="bibr" rid="bib1.bibx3" id="text.70"/>, (ii) investigate how volcanic moistening interacts with ongoing anthropogenic climate change to shape the statistics of SPV strength and SSW occurrence over the coming decades. Better constraining the structure and transport of the descending WV plume using MLS on NASA's Aura satellite may be problematic due to the “duty cycle” of the 190 GHz observations to conserve remaining life for these measurements. Its decommissioning will cause a substantial gap in the measurement of  critical atmospheric components such as WV and poses significant challenges for continuous monitoring  and assessment of the effects of future extreme events including volcanic eruptions <xref ref-type="bibr" rid="bib1.bibx55" id="paren.71"/>. However, other satellite <xref ref-type="bibr" rid="bib1.bibx31 bib1.bibx23" id="paren.72"/> and ground-based <xref ref-type="bibr" rid="bib1.bibx16" id="paren.73"/> instruments can continue to monitor WV after Aura MLS, respectively.</p>
</sec>

      
      </body>
    <back><notes notes-type="codedataavailability"><title>Code and data availability</title>

      <p id="d2e1899">SWOOSHv2.7 data can be downloaded from <uri>https://csl.noaa.gov/groups/csl8/swoosh/</uri> (last access:  22 October 2026). The MERRA2 reanalysis dataset postprocessed by the NASA Ozone Watch can be downloaded for zonal wind and eddy heat flux from <uri>https://ozonewatch.gsfc.nasa.gov/meteorology/figures/merra2/wind/u60n_10_2024_merra2.txt</uri>  (last access:  22 October 2026) and <uri>https://ozonewatch.gsfc.nasa.gov/meteorology/figures/merra2/heat_flux/vt45_75-45n_100_2024_merra2.txt</uri> (last access:  22 October 2026), respectively. Any direct access to full simulation data can be arranged by contacting the authors. The code that was used to produce all plots in this study is available via Zenodo <xref ref-type="bibr" rid="bib1.bibx37" id="paren.74"><named-content content-type="post"><ext-link xlink:href="https://doi.org/10.5281/zenodo.21514652" ext-link-type="DOI">10.5281/zenodo.21514652</ext-link></named-content></xref>.  All postprocessed data files for this study are provided via Mendeley Data <xref ref-type="bibr" rid="bib1.bibx35" id="paren.75"><named-content content-type="post"><ext-link xlink:href="https://doi.org/10.17632/hb3whw3nfr.2" ext-link-type="DOI">10.17632/hb3whw3nfr.2</ext-link></named-content></xref>.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d2e1923">The supplement related to this article is available online at <inline-supplementary-material xlink:href="https://doi.org/10.5194/acp-26-15479-2026-supplement" xlink:title="pdf">https://doi.org/10.5194/acp-26-15479-2026-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d2e1932">AK designed the study. TS set up and carried out the model simulations. AK analysed the data. AK, BL, JKH, TS, MS, and AB curated the data. AK compiled the manuscript with inputs from all other authors.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d2e1938">The contact author has declared that none of the authors has any competing interests.</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <p id="d2e1944">Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. The authors bear the ultimate responsibility for providing appropriate place names. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.</p>
  </notes><ack><title>Acknowledgements</title><p id="d2e1950">Ales Kuchar, Bruno Lehner, Jessica Kult-Herdin, and Harald Rieder acknowledge support by the BOKU University.  The simulations were performed at the ETH cluster EULER and the Swiss National Supercomputing Centre (CSCS) under project s1191.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d2e1955">ER has been supported by St. Petersburg State University under research grant 124032000025-1. MS was funded by the University of Graz, Graz, Austria. AB has been supported by the “Swiss H2O Hub for High-quality water vapor measurements from ground to space” project financed by GAW Switzerland. GC was funded by the European Union via the ERC Starting Grant (grant no. 101078127). TS acknowledges support from the Swiss National Science Foundation (grant no. 200020E_219166). GC acknowledges funding from the EU via the ERC Starting Grant 101078127. TS and GC acknowledge the Simons Foundation (grant no. SFI-MPS-SRM-00005208). Publisher's note: the article processing charges for this publication were not paid by a Russian or Belarusian institution.</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d2e1961">This paper was edited by Matthew Toohey and reviewed by three anonymous referees.</p>
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