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  <front>
    <journal-meta><journal-id journal-id-type="publisher">TC</journal-id><journal-title-group>
    <journal-title>The Cryosphere</journal-title>
    <abbrev-journal-title abbrev-type="publisher">TC</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">The Cryosphere</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1994-0424</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/tc-20-4421-2026</article-id><title-group><article-title>Anatomy and impact of a high Arctic atmospheric river driving extreme winter rain and snowfall</article-title><alt-title>Anatomy and impact of a high Arctic atmospheric river</alt-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Bailey</surname><given-names>Hannah</given-names></name>
          <email>hannah.bailey@oulu.fi</email>
        <ext-link>https://orcid.org/0000-0002-8913-8473</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Box</surname><given-names>Jason E.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-0052-8705</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Kopec</surname><given-names>Ben G.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-6249-9156</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Hyöky</surname><given-names>Valtteri</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Marttila</surname><given-names>Hannu</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-9744-2483</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4 aff5">
          <name><surname>Welker</surname><given-names>Jeffrey M.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff6">
          <name><surname>Kohler</surname><given-names>Jack</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff6">
          <name><surname>Divine</surname><given-names>Dmitry V.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff7">
          <name><surname>Hubbard</surname><given-names>Alun</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Water, Energy, and Environmental Engineering Research Unit, University of Oulu, 90014 Oulu, Finland</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Department of Glaciology and Climate, Geological Survey of Denmark and Greenland, 1350 Copenhagen, Denmark</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Great Lakes Research Center, Michigan Technological University, Houghton, MI 49931, USA</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Ecology and Genetics Research Unit, University of Oulu, 90014 Oulu, Finland</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>Department of Biological Sciences, University of Alaska Anchorage, Anchorage, AK 99508, USA</institution>
        </aff>
        <aff id="aff6"><label>6</label><institution>Norwegian Polar Institute, 9296 Tromsø, Norway</institution>
        </aff>
        <aff id="aff7"><label>7</label><institution>Department of Geosciences, UiT – The Arctic University of Norway, 9037 Tromsø, Norway</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Hannah Bailey (hannah.bailey@oulu.fi)</corresp></author-notes><pub-date><day>14</day><month>August</month><year>2026</year></pub-date>
      
      <volume>20</volume>
      <issue>8</issue>
      <fpage>4421</fpage><lpage>4436</lpage>
      <history>
        <date date-type="received"><day>10</day><month>April</month><year>2026</year></date>
           <date date-type="rev-request"><day>19</day><month>May</month><year>2026</year></date>
           <date date-type="rev-recd"><day>12</day><month>July</month><year>2026</year></date>
           <date date-type="accepted"><day>8</day><month>August</month><year>2026</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2026 Hannah Bailey 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://tc.copernicus.org/articles/20/4421/2026/tc-20-4421-2026.html">This article is available from https://tc.copernicus.org/articles/20/4421/2026/tc-20-4421-2026.html</self-uri><self-uri xlink:href="https://tc.copernicus.org/articles/20/4421/2026/tc-20-4421-2026.pdf">The full text article is available as a PDF file from https://tc.copernicus.org/articles/20/4421/2026/tc-20-4421-2026.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d2e195">Atmospheric rivers (ARs) transport concentrated fluxes of heat and moisture poleward, driving temperature and precipitation extremes. Yet, their vertical structure in the High Arctic – where small thermodynamic perturbations govern rain-snow partitioning and cryospheric response – remains poorly constrained. Here we present atmospheric vapour isotope, radiosonde, and meteorological observations from Svalbard during a record-setting AR in March 2022. The AR developed in the northwest Atlantic when a deep “bomb” cyclone established a sustained conduit of poleward heat/moisture. Integrated vapour transport exceeded 450 kg m<sup>−1</sup> s<sup>−1</sup>, with warming and enhanced moisture emerging <inline-formula><mml:math id="M3" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2–6 km aloft before deepening through the lower-troposphere, tripling near-surface humidity. On 15 March, air temperatures rose to 5.6 °C accompanied by 43.9 mm rainfall – the highest daily March total on record. Concurrently, vapour <inline-formula><mml:math id="M4" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O (<inline-formula><mml:math id="M5" display="inline"><mml:mi>d</mml:mi></mml:math></inline-formula>-excess) attained its seasonal maximum (minimum) and marine aerosol (Na<sup>+</sup>) concentrations spiked, constraining the geochemical signature of Atlantic moisture advection. The two-day AR event delivered <inline-formula><mml:math id="M7" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.5 Gt snowfall across Svalbard, locally equivalent to over 8 % of net 2022 glacier accumulation and offsetting surface mass loss by <inline-formula><mml:math id="M8" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 7 %. Although rainfall comprised less than one-third of the total precipitation, it impacted 60 % of the glacierised terrain, driving winter rain-on-snow melt and densification across lower-elevation areas and altering snowpack structure. Our study underscores the vulnerability of Svalbard and other glacierised Arctic archipelagos to intensifying poleward moisture and heat transport by ARs, with substantial but nuanced impacts on glacier surface energy budget and mass balance through the delivery of anomalous winter rainfall, snowfall, and latent heat.</p>
  </abstract>
    
<funding-group>
<award-group id="gs1">
<funding-source>Research Council of Finland</funding-source>
<award-id>348536</award-id>
<award-id>363970</award-id>
</award-group>
<award-group id="gs2">
<funding-source>Norges Forskningsråd</funding-source>
<award-id>342265</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="d2e280">Atmospheric rivers (ARs) play a critical role in the global climate system, conveying high fluxes of heat, moisture, and momentum into higher latitudes (Wang et al., 2024). In polar regions, this advection can trigger pronounced temperature and precipitation anomalies (Payne et al., 2020; Scholz and Lora, 2024) including extreme rainfall (Box et al., 2023), snowfall (Bailey and Hubbard, 2025; Gorodetskaya et al., 2014), and rain-on-snow (ROS) events (Box et al., 2022; Sobota et al., 2020). These anomalies can modify snowpack structure (Salzano et al., 2023; Sobota et al., 2020) and modulate radiative and turbulent fluxes (Mattingly et al., 2020), with consequences for sea-ice growth (Hegyi and Taylor, 2018; Zhang et al., 2023) and ice-sheet mass balance (Bailey and Hubbard, 2025; Mattingly et al., 2018; Wedum et al., 2026).</p>
      <p id="d2e283">Recent work highlights contrasting impacts of ARs on the Antarctic and Greenland ice sheets, where large AR-fuelled snowfall events can substantially enhance surface mass balance at high elevations (Adusumilli et al., 2021; Bailey and Hubbard, 2025; Gorodetskaya et al., 2014; Wille et al., 2024a), whereas rainfall is increasingly linked to widespread surface melt and mass loss (Box et al., 2022; Gorodetskaya et al., 2023; Mattingly et al., 2020, 2023). Despite these insights, the vertical thermodynamic structure of polar ARs – and how it governs the partitioning of precipitation between rain and snow – remain poorly constrained by direct observations. This gap is particularly acute across mid- to high-latitude maritime glaciated regions with complex topography(NygÅrd et al., 2016; Payne et al., 2020), where warm air intrusions can raise winter surface air temperatures (SATs) above freezing. In such settings, small thermodynamic perturbations can critically modulate precipitation phase (Bintanja and Andry, 2017), with disproportionate consequences for seasonal snowpacks (Peeters et al., 2019), low-lying maritime glaciers (Noël et al., 2020), and the timing and magnitude of downstream hydrological and biogeochemical fluxes (Croghan et al., 2025; Kleber et al., 2025). Consequently, how AR-driven moisture transport translates into rain versus snowfall across short spatial scales remains poorly resolved, limiting process-level understanding of hydroclimatic impacts in polar maritime regions.</p>
      <p id="d2e287">The Svalbard archipelago is an Arctic hotspot where mean rates of warming have exceeded 1.25 °C per decade since 1979 (Rantanen et al., 2022). Situated directly in the path of poleward-advecting Atlantic air masses, it occupies a critical position for studying ARs which contribute disproportionately to over 40 % of annual precipitation (2017–2021) (Ebell et al., 2025). Approximately <inline-formula><mml:math id="M9" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 60 % of the archipelago is glacierised (<inline-formula><mml:math id="M10" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 36 500 km<sup>2</sup>), with an estimated volume of 6800 <inline-formula><mml:math id="M12" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 238 km<sup>3</sup> (van Pelt and Frank, 2025) distributed among its 1666 glaciers (RGI Consortium, 2023). Between 2002 and 2023, their mean mass deficit was 14.8 <inline-formula><mml:math id="M14" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.3 Gt yr<sup>−1</sup> (Sasgen et al., 2024), with a forecast doubling of ice loss by 2100 (Geyman et al., 2022). This combination of strong Atlantic influence, marginal winter thermal conditions, and ongoing mass loss makes Svalbard an ideal natural laboratory for examining how extreme AR moisture transport manifests in the High Arctic.</p>
      <p id="d2e349">Here, we present a detailed empirical analysis of a record-setting AR event that made landfall in Svalbard during mid-March 2022 (Fig. 1a). The event drove anomalously high SATs and precipitation across a large sector of the Arctic (Bailey and Hubbard, 2025; Walbröl et al., 2024), and was followed by an intense marine cold air outbreak (CAO) (Kirbus et al., 2024) (Fig. 1b). We captured this extreme AR-CAO sequence using continuous measurements of atmospheric water vapour isotopes (<inline-formula><mml:math id="M16" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O, <inline-formula><mml:math id="M17" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>H) at Ny-Ålesund, northwest Svalbard, together with upper-air radiosonde observations and meteorological data, providing rare observational constraints on the moisture provenance, thermodynamic structure, and surface coupling of the event.</p>

      <fig id="F1" specific-use="star"><label>Figure 1</label><caption><p id="d2e377">Satellite images during mid-March 2022. Aqua-MODIS satellite images on <bold>(a)</bold> 15 March 2022 showing the North Atlantic AR transiting between Iceland/Greenland and Scandinavia toward Ny-Ålesund, Svalbard (orange circle), and <bold>(b)</bold> on 26 March 2022 during the CAO showing “cloud streets” forming off the Arctic Ocean sea ice in the Fram Strait and Barents Sea. The <inline-formula><mml:math id="M18" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula>-<inline-formula><mml:math id="M19" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula> transect in <bold>(a)</bold>, passing through Ny-Ålesund, indicates the approximate location of the CARRA cross-section analysed in the Results and Discussion. Imagery from NASA Worldview.</p></caption>
        <graphic xlink:href="https://tc.copernicus.org/articles/20/4421/2026/tc-20-4421-2026-f01.jpg"/>

      </fig>

</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Methods</title>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Stable isotope measurements</title>
      <p id="d2e424">Atmospheric water vapour isotopes (<sup>18</sup>O <inline-formula><mml:math id="M21" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> <sup>16</sup>O and <sup>2</sup>H <inline-formula><mml:math id="M24" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> <sup>1</sup>H) and mixing ratios were measured continuously between 1  January and 31 May 2022 as part of a winter–spring 2022 measurement campaign at the NPI Zeppelin Observatory (78.91° N, 11.89° E; 475 m a.s.l.) in Ny-Ålesund, Svalbard. Ambient air was sampled through approximately 3 m of inlet tubing drawing air from above the roof of the laboratory building. To limit residence time the air was pumped through the line at a flow rate of 3 L min<sup>−1</sup>, giving a residence time of <inline-formula><mml:math id="M27" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 3 s from the inlet to the analyser. A low-energy heating cable was wrapped around the inlet to prevent freezing, and a shield was used to stop precipitation from entering the sampling line. Temperature inside the laboratory was maintained at 20 °C to ensure instrument stability and prevent condensation in the line.</p>
      <p id="d2e497">Vapour stable isotope ratios (<inline-formula><mml:math id="M28" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O and <inline-formula><mml:math id="M29" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>H) were measured approximately every second using a cavity ring-down spectrometer (Picarro L2130-i, Picarro Inc., USA). The analyser was connected to a Picarro Standards Delivery Module supplying two reference waters with known isotopic composition approximately every 24 h (Ala-Aho et al., 2021). Calibration standards USGS-45 (<inline-formula><mml:math id="M30" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O <inline-formula><mml:math id="M31" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2.238</mml:mn></mml:mrow></mml:math></inline-formula> ‰, <inline-formula><mml:math id="M32" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>2H <inline-formula><mml:math id="M33" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">10.3</mml:mn></mml:mrow></mml:math></inline-formula> ‰) and USGS-49 (<inline-formula><mml:math id="M34" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O <inline-formula><mml:math id="M35" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">50.55</mml:mn></mml:mrow></mml:math></inline-formula> ‰, <inline-formula><mml:math id="M36" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>2H <inline-formula><mml:math id="M37" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">394.7</mml:mn></mml:mrow></mml:math></inline-formula> ‰), which span the isotopic range of ambient measurements during the campaign, were used to correct measurements to the VSMOW-SLAP scale and monitor instrumental drift. Stable isotope data were calibrated and corrected for humidity using standard established protocols (Madsen et al., 2019). Standard waters were measured across a range of controlled water vapour concentrations to establish a humidity response function, which was subsequently applied to the dataset (Bailey et al., 2021; Pereira Freitas et al., 2024). Following calibration and quality control procedures, isotope measurements were aggregated to 5 min averages. Analytical uncertainty is estimated to be <inline-formula><mml:math id="M38" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.3 ‰ for <inline-formula><mml:math id="M39" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O and <inline-formula><mml:math id="M40" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 1.1 ‰ for <inline-formula><mml:math id="M41" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>2H – considerably smaller than the natural variability observed during the March 2022 AR-CAO sequence.</p>
      <p id="d2e640">Twenty-four snowfall samples were collected at the Ny-Ålesund Research Station–Sverdrup during the measurement campaign and analysed for <inline-formula><mml:math id="M42" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O and <inline-formula><mml:math id="M43" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>H at the FARLAB (University of Bergen, Norway). Samples were transferred to 1.5 mL septa-capped glass vials prior to analysis and measured using a Picarro L2140-i Cavity-Ring Down Spectrometer coupled to an autosampler (Picarro A0325) and high-precision vaporiser (Picarro A0211). For each sample, repeated injections of <inline-formula><mml:math id="M44" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2 <inline-formula><mml:math id="M45" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>L of liquid water were vaporised at <inline-formula><mml:math id="M46" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 110 °C and introduced into the spectrometer cavity with dry N<sub>2</sub> carrier gas, producing water vapour concentrations of <inline-formula><mml:math id="M48" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 20 000 ppm during analysis. Multiple injections (6–12) were performed for each sample to minimise memory effects, and the final isotope value was calculated from the mean of the final injections after equilibration (Mellat et al., 2021). Isotope ratios are reported in <inline-formula><mml:math id="M49" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>-notation relative to the VSMOW-SLAP scale following standard laboratory calibration procedures (Akers et al., 2024; Bailey et al., 2018). Mean analytical uncertainty is 0.05 ‰ for <inline-formula><mml:math id="M50" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O, 0.5 ‰ for <inline-formula><mml:math id="M51" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>H, and 0.6 ‰ for <inline-formula><mml:math id="M52" display="inline"><mml:mi>d</mml:mi></mml:math></inline-formula>-excess.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>Radiosonde observations</title>
      <p id="d2e748">Radiosonde profiles are derived from six-hourly launches from the French-German AWIPEV Research Base in Ny-Ålesund (78.92° N, 11.92° E, 17 m a.s.l) using a Vaisala RS41 radiosonde (Maturilli, 2022). For the event analysis we use the March 2022 soundings, while percentile and record-context statistics are calculated relative to the available March radiosonde record from 1993–2022. Specific humidity was derived from measurements of air temperature (<inline-formula><mml:math id="M53" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>), relative humidity (RH) and pressure (<inline-formula><mml:math id="M54" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula>). Integrated water vapour (IWV) was calculated by vertically integrating specific humidity in pressure coordinates over the full available radiosonde profile, and is reported in units of kg m<sup>−2</sup>, equivalent to millimetres of precipitable water.</p>
      <p id="d2e777">Wet-bulb temperature (<inline-formula><mml:math id="M56" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mi mathvariant="normal">W</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) was calculated from radiosonde measurements of <inline-formula><mml:math id="M57" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>, RH, and <inline-formula><mml:math id="M58" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> using a standard pressure-dependent psychrometric formulation (Davies-Jones, 2008). The melting level was defined as the height of the surface-connected <inline-formula><mml:math id="M59" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mi mathvariant="normal">W</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula> °C crossing, obtained by linear interpolation between adjacent levels. Uncertainty in <inline-formula><mml:math id="M60" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mi mathvariant="normal">W</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> was estimated through propagation of radiosonde measurement uncertainties (<inline-formula><mml:math id="M61" display="inline"><mml:mo lspace="0mm">±</mml:mo></mml:math></inline-formula>0.2–0.4 K in <inline-formula><mml:math id="M62" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>; <inline-formula><mml:math id="M63" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>3 %–4 % in RH) (Maturilli, 2022), yielding <inline-formula><mml:math id="M64" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mi mathvariant="normal">W</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> uncertainties of 0.27–0.46 °C. Given the observed vertical gradient of <inline-formula><mml:math id="M65" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mi mathvariant="normal">W</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> near the melting level (<inline-formula><mml:math id="M66" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 5.5 °C km<sup>−1</sup>), this corresponds to an uncertainty in melting-level height of approximately <inline-formula><mml:math id="M68" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>50–80 m. We note the reconstructed melting-level closely tracks observed precipitation phase at Ny-Ålesund.</p>
</sec>
<sec id="Ch1.S2.SS3">
  <label>2.3</label><title>Meteorological, reanalysis, and glacier data</title>
      <p id="d2e910">Hourly surface meteorological observations are utilised from Ny-Ålesund (SN99910; 78.9218° N, 11.9325° E, 8 m a.s.l), Svalbard Airport (No. SN99840; 78.2453° N, 15.5015° E, 28 m a.s.l), Adventdalen (SN99870; 78.2022° N, 15.831° E, 15 m a.s.l), and Hornsund (SN99754; 77.0002° N, 15.5353° E, 10 m a.s.l) meteorological stations (<uri>https://seklima.met.no/</uri>, last access: 17 February 2026). We also utilise daily sodium (Na<sup>+</sup>) aerosol concentrations measured at the Zeppelin Observatory in Ny-Ålesund (NILU, 2023).</p>
      <p id="d2e925">Synoptic meteorological and surface conditions are examined using ERA5 reanalysis fields produced by the European Centre for Medium‐Range Weather Forecasts (ECMWF) (Hersbach et al., 2020). Hourly and post-processed daily statistics on single levels (1940 to present) were retrieved from the Copernicus Climate Data Store. Variables include 2 m air temperature, mean sea level pressure, total precipitation, snowfall, snowmelt, total column water vapour (IWV), skin temperature, surface thermal radiation downwards (LWD), and surface latent heat flux (LHF) on a 0.25° <inline-formula><mml:math id="M70" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.25° regularly spaced grid. Hourly geopotential at 850 hPa was retrieved from the ERA5 hourly data on pressure levels dataset. ERA5 anomalies during the AR (15–16 March 2022) were calculated at each grid cell relative to the corresponding 15–16 March climatology for 1981–2010. Two-day means were used for IWV, LWD, skin temperature and LHF, while two-day accumulated totals were used for precipitation and snowmelt. To assess statistical significance, the 2022 value at each grid cell was compared with the corresponding historical values (1981–2010) using a two-sided 95 % Student's <inline-formula><mml:math id="M71" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> prediction interval. Grid cells where the 2022 value fell outside this interval were considered statistically significant. To examine the synoptic evolution linking the AR and subsequent CAO, the progression of the associated Atlantic cyclone was tracked using ERA5 hourly sea-level pressure fields sampled at 6 h intervals. The track was initialised from the CAO-associated SLP minimum near Svalbard on 21 March 2022 and reconstructed backward in time by identifying the nearest constrained SLP minimum at each preceding 6 h timestep. The resulting track was compared with ERA5 daily mean SLP fields from 14–21 March 2022. The vertical integrals of eastward and northward water vapour flux were used as the two vector components of integrated vapour transport (IVT) shown in Fig. 2 and obtained from EDARA: An ERA5-based Dataset for Atmospheric River Analysis (Mo, 2024a).</p>

      <fig id="F2" specific-use="star"><label>Figure 2</label><caption><p id="d2e944">Synoptic setting during the March 2022 AR.<bold> (a)</bold> Total integrated vapour transport (IVT) at 16:00 UTC on 15 March with corresponding 850 mb geopotential height contours; <bold>(b)</bold> mean 2 m air temperature (shading) and SLP anomalies (contours) on 15–16 March; and <bold>(c)</bold> total precipitation between 15–16 March (shading) with corresponding SLP anomalies (contours). All anomalies are relative to the 1981–2010 baseline. The white circle in <bold>(a)</bold> and <bold>(b)</bold> indicates Ny-Ålesund, Svalbard. High (H) and low (L) pressure centres are indicated. Data derive from ERA5 reanalysis (Hersbach et al., 2020). Base maps derive from the ETOPO5 gridded dataset (<uri>http://www.ngdc.noaa.gov/mgg/global/etopo5.HTML</uri>, last access: 3 December 2025).</p></caption>
          <graphic xlink:href="https://tc.copernicus.org/articles/20/4421/2026/tc-20-4421-2026-f02.png"/>

        </fig>

      <p id="d2e973">Vertical profiles of Copernicus Arctic Regional ReAnalysis (CARRA) data (single levels from 1991 to present, East domain) (Schyberg et al., 2020) were analysed along a horizontal transect from 72.47° N, 3.48° W to 81.61° N, 30.00° W, chosen to intersect Ny-Ålesund and the NW glacier region of Svalbard approximately along the southwest-northeast axis of the AR. Variables include 3-hourly averages of wind speed, temperature, pressure, and cloud liquid water content on pressure levels between 1000 and 400 hPa. We note that CARRA provides higher <inline-formula><mml:math id="M72" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2.5 km horizontal  resolution compared with ERA5 (<inline-formula><mml:math id="M73" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 31 km grid spacing), and is therefore used here to examine the dynamical structure of the AR in cross-section; ERA5 was retained for precipitation and surface energy analyses to ensure consistency with the 1981–2010 climatological baseline, which predates the start of the CARRA record.</p>
      <p id="d2e990">Glacier outlines from the Randolph Glacier Inventory v7.0 (RGI Region 07: Svalbard and Jan Mayen) are used to quantify ERA5 precipitation and snowmelt fields across glacier basins. Rainfall was estimated as the difference between total precipitation and snowfall at each grid cell. Water-equivalent depths were converted to total mass using the glacierised area of each basin. Precipitation and snowmelt volumes were calculated as <inline-formula><mml:math id="M74" display="inline"><mml:mrow><mml:mi>M</mml:mi><mml:mo>=</mml:mo><mml:mi>A</mml:mi><mml:mo>×</mml:mo><mml:mi>d</mml:mi></mml:mrow></mml:math></inline-formula>, where <inline-formula><mml:math id="M75" display="inline"><mml:mi>M</mml:mi></mml:math></inline-formula> is water mass, <inline-formula><mml:math id="M76" display="inline"><mml:mi>A</mml:mi></mml:math></inline-formula> is glacier area, and <inline-formula><mml:math id="M77" display="inline"><mml:mi>d</mml:mi></mml:math></inline-formula> is water-equivalent depth. Mass values were converted to gigatonnes (Gt), where 1 Gt <inline-formula><mml:math id="M78" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 10<sup>9</sup> m<sup>3</sup> of water equivalent.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Results</title>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Atlantic bomb cyclogenesis and AR-CAO evolution</title>
      <p id="d2e1072">The March 2022 AR developed in response to rapid cyclogenesis in the northwest Atlantic, culminating in an explosively deepening low-pressure system over southern Greenland. By 15 March, the cyclone had intensified to a core sea-level pressure (SLP) below 945 hPa near the Denmark Strait. Concurrently,  a persistent ridge of high pressure (<inline-formula><mml:math id="M81" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 1020 hPa) over Scandinavia established a strong meridional pressure gradient across the North Atlantic-Arctic sector (Fig. 2), consistent with a Scandinavian blocking pattern (Lapointe et al., 2024).</p>
      <p id="d2e1082">This synoptic configuration generated a <inline-formula><mml:math id="M82" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 400 km-wide corridor of enhanced integrated vapour transport (IVT) along the eastern flank of the cyclone, extending from the North Atlantic through the Greenland Sea and Fram Strait toward Svalbard (Fig. 1a and 2a). ERA5 data  indicate northward IVT exceeded <inline-formula><mml:math id="M83" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 400–500 kg m<sup>−1</sup> s<sup>−1</sup> as the AR propagated poleward, classifying the event as <italic>very strong</italic> for the Arctic (Walbröl et al., 2024). Tightly packed geopotential height contours along the AR core reflect strong low-level winds sustaining efficient horizontal moisture transport into the High Arctic (Fig. 2a).</p>
      <p id="d2e1126">Poleward advection of warm, mid-latitude air produced exceptional lower-tropospheric thermodynamic anomalies. Mean 2 m SAT anomalies on 15–16 March exceeded <inline-formula><mml:math id="M86" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>20 °C across a large swathe of the Central Arctic Ocean and the Greenland and Barents Seas relative to the 1981–2010 climatology (Fig. 2b). These anomalies coincided with widespread positive precipitation departures along the AR pathway, with cumulative totals exceeding 45 mm over parts of southeast Greenland, Iceland, and western Svalbard between 15 and 16 March (Fig. 2c). Cyclone back-tracking shows north-eastward progression of the system through the Greenland Sea-Fram Strait toward Svalbard and the northern Barents Sea over the subsequent four days (Fig. S3a in the Supplement). By 21 March, this migration had reorganised the pressure field around Svalbard, shifting the flow from warm, moist south-westerly advection during the AR to northerly/north-easterly cold air advection during the CAO (Fig. S3b).</p>
</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Anatomy of an Arctic AR</title>
      <p id="d2e1144">AR cross sections using  CARRA data reveal a low-level jet transporting a <inline-formula><mml:math id="M87" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2 km-deep, moisture-laden flow toward Svalbard (Fig. 3). Winds peaked near 925 hPa at  <inline-formula><mml:math id="M88" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 28 m s<sup>−1</sup> and were similarly strong above the complex terrain of NW Svalbard, where turbulent flow prompted extreme uplift and downdrafts (Fig. 3a). Turbulence was most pronounced in the lowest levels where the incident flow interacted with the mountainous terrain (Fig. 3a).</p>

      <fig id="F3"><label>Figure 3</label><caption><p id="d2e1175">Cross-section of the March 2022 AR. 15 March 2022 16:00 UTC CARRA <bold>(a)</bold> wind speed (shading) and streamlines (contours), with turbulence zones in green, <bold>(b)</bold> cloud liquid water content (w.c.; shading) with pseudo-adiabatic potential temperatures (<inline-formula><mml:math id="M90" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">pe</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>; magenta contours), and <bold>(c)</bold> air temperature, along the <inline-formula><mml:math id="M91" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula>-<inline-formula><mml:math id="M92" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula> transect highlighted in panel <bold>(a)</bold>. The brown and grey coloured areas indicate land and glaciated areas, respectively. The approximate location of Ny-Ålesund (NÅ) and the Holtedahlfonna (HD) ice cap are indicated in <bold>(b)</bold>.</p></caption>
          <graphic xlink:href="https://tc.copernicus.org/articles/20/4421/2026/tc-20-4421-2026-f03.png"/>

        </fig>

      <p id="d2e1225">Embedded within the AR was a <inline-formula><mml:math id="M93" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1.8 km-deep liquid-bearing moisture plume with cloud liquid water content (LWC) reaching 0.05 g kg<sup>−1</sup> (Fig. 3b). Pseudo-adiabatic potential temperature (<inline-formula><mml:math id="M95" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">pe</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) surfaces – indicating the tendency for inertial and buoyant motion – slope upward toward the terrain, indicating buoyant ascent from condensation associated with enhanced precipitation alongside terrain-forced uplift. The <inline-formula><mml:math id="M96" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">pe</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> contours exhibit repeated undulations with visually estimated horizontal wavelengths of <inline-formula><mml:math id="M97" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 10–50 km, based on the spacing between successive perturbations along the CARRA cross-section. Their occurrence downstream of the steep NW Svalbard topography is consistent with orographically forced gravity waves generated as stably stratified flow interacts with the mountainous terrain. Downstream of the Holtedahlfonna ice cap (<inline-formula><mml:math id="M98" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 1200 m a.s.l.), cloud LWC declines sharply (Fig. 3b), indicating moisture depletion in the lee-side flow. The temperature cross section reveals a pronounced warm lower troposphere during the AR, with near-surface temperatures exceeding 4 °C with sub-freezing temperatures largely confined above <inline-formula><mml:math id="M99" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 750 m a.s.l. (Fig. 3c).</p>
      <p id="d2e1293">Radiosondes launched every six hours from Ny-Ålesund (17 m a.s.l) capture this evolving upper-air thermodynamic structure during the AR and subsequent CAO (Fig. 4) (Maturilli, 2022). Prior to AR arrival, the atmospheric column was uniformly cold, with near-surface temperatures of <inline-formula><mml:math id="M100" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M101" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula> °C decreasing to below <inline-formula><mml:math id="M102" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> °C by <inline-formula><mml:math id="M103" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 10 km altitude (Fig. 4a). Integrated water vapour (IWV) remained low (<inline-formula><mml:math id="M104" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 3 kg m<sup>−2</sup>), consistent with the dry Arctic background state.</p>

      <fig id="F4" specific-use="star"><label>Figure 4</label><caption><p id="d2e1352">Vertical structure of the March 2022 AR and CAO at Ny-Ålesund. <bold>(a)</bold> Interpolated radiosonde air temperature (shading) with vapour <inline-formula><mml:math id="M106" display="inline"><mml:mi>d</mml:mi></mml:math></inline-formula>-excess (black line; axis reversed). The horizontal dotted line marks the Zeppelin Observatory altitude; <bold>(b)</bold> specific humidity (shading) with integrated water vapour (IWV; black line) and daily precipitation (circles; rain in red, snow in grey). Soundings were launched from Ny-Ålesund (Maturilli, 2022), and the altitude axes are limited to 10 km. Vertical dashed lines indicate AR and CAO periods.</p></caption>
          <graphic xlink:href="https://tc.copernicus.org/articles/20/4421/2026/tc-20-4421-2026-f04.png"/>

        </fig>

      <p id="d2e1374">The first signature of AR influence appeared aloft around midday on 11 March, when warming initiated between <inline-formula><mml:math id="M107" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2–6 km altitude (Fig. 4a), indicating the arrival of warm maritime air overrunning the cold Arctic boundary layer. Over the following 12 h this warm anomaly deepened downward, progressively displacing the near-surface cold layer. By late 12 March, near-surface temperatures exceeded 0 °C (Fig. 4a), with above-freezing temperatures extending to <inline-formula><mml:math id="M108" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.7 km altitude, substantially reducing the low-level lapse rate and effectively coupling warm maritime air to the surface.</p>
      <p id="d2e1391">Simultaneously, IWV increased rapidly and developed a double-peaked structure during 12–13 March, rising approximately four-fold from pre-AR values to maxima of 12.1 and 11.0 kg m<sup>−2</sup> (Fig. 4b). Specific humidity profiles indicate that this increase corresponded to the arrival of the moisture plume, initially confined above <inline-formula><mml:math id="M110" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 4.8 km before progressively descending into the lower troposphere. As the plume deepened, mean specific humidity within the lowest kilometre increased to <inline-formula><mml:math id="M111" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 3.6 g kg<sup>−1</sup>, with the two IWV pulses indicating episodic low-level moisture delivery during the early AR phase (Fig. 4b).</p>
      <p id="d2e1432">The AR intensified on 15 March, producing the strongest thermodynamic and moisture anomalies of the event (Fig. 4). Near-surface temperatures reached 5.6 °C, with above-freezing conditions extending to <inline-formula><mml:math id="M113" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.8 km altitude (Fig. 4a). IWV peaked at 14.6 kg m<sup>−2</sup>– the highest March value in the 1993–2022 radiosonde record (Maturilli, 2022) – while specific humidity exceeded <inline-formula><mml:math id="M115" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 4 g kg<sup>−1</sup> through the lowest kilometre for more than 24 h (Fig. 4b). Elevated moisture transport persisted until 16 March, coincident with extreme rainfall and low vapour <inline-formula><mml:math id="M117" display="inline"><mml:mi>d</mml:mi></mml:math></inline-formula>-excess measured in Ny-Ålesund (Fig. 5a–b).</p>

      <fig id="F5" specific-use="star"><label>Figure 5</label><caption><p id="d2e1483">Observations at Ny-Ålesund during winter–spring 2022. Water vapour <bold>(a)</bold> mixing ratio, <bold>(b)</bold> <inline-formula><mml:math id="M118" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O, <bold>(c)</bold> <inline-formula><mml:math id="M119" display="inline"><mml:mi>d</mml:mi></mml:math></inline-formula>-excess (5 min averages), and (<bold>d)</bold> daily sodium (Na<sup>+</sup>) aerosol concentration measured at the Zeppelin Observatory; (<bold>e</bold>) hourly 2 m air temperature, <bold>(f)</bold> daily snow depth (grey shading) and precipitation amount and phase (rain: red; snow: blue) (Champagne et al., 2024) from the Ny-Ålesund meteorological station (SN99910). Discrete snowfall isotope samples collected in Ny-Ålesund are shown as circles (<inline-formula><mml:math id="M121" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O) and crosses (<inline-formula><mml:math id="M122" display="inline"><mml:mi>d</mml:mi></mml:math></inline-formula>-excess) in <bold>(b)</bold> and <bold>(c)</bold>, respectively. The mid-March AR and subsequent CAO are indicated by grey vertical shading.</p></caption>
          <graphic xlink:href="https://tc.copernicus.org/articles/20/4421/2026/tc-20-4421-2026-f05.png"/>

        </fig>

      <p id="d2e1563">From 23 March onward, radiosoundings record the transition to markedly cooler and drier conditions. The lower and mid-troposphere cooled, with near-surface temperatures falling to approximately <inline-formula><mml:math id="M123" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>18 °C over the following week as the warm AR layer dissipated (Fig. 4a). IWV dropped below 1.2 kg m<sup>−2</sup> on 24 March – below the 3rd percentile of March values in the 1993–2022 record (Maturilli, 2022) – and remained below 4 kg m<sup>−2</sup> thereafter (Fig. 4b). This column drying coincided with rising vapour <inline-formula><mml:math id="M126" display="inline"><mml:mi>d</mml:mi></mml:math></inline-formula>-excess (Fig. 4a), consistent with establishment of a cold, dry Arctic air mass during the CAO.</p>
</sec>
<sec id="Ch1.S3.SS3">
  <label>3.3</label><title>Surface observations at Ny-Ålesund</title>
      <p id="d2e1613">The AR began influencing western Svalbard on 12 March 2022, triggering a sustained perturbation of near-surface atmospheric conditions (Fig. 5). Water vapour mixing ratios rose above winter baseline levels and remained elevated (<inline-formula><mml:math id="M127" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 4000 ppmv) for <inline-formula><mml:math id="M128" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 120 h (12 March 16:30 UTC to 17 March 15:00 UTC). As the AR made landfall on 15 March, mixing ratios tripled from a winter baseline of 2304 ppmv to a peak of 6690 ppmv, marking the arrival of the exceptionally humid air mass (Fig. 5a).</p>
      <p id="d2e1630">Water vapour isotopes responded simultaneously: <inline-formula><mml:math id="M129" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O increased by <inline-formula><mml:math id="M130" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>8.8 ‰ and <inline-formula><mml:math id="M131" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>H by <inline-formula><mml:math id="M132" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>56.1 ‰ relative to the winter baseline, reaching campaign maxima on 15 March (<inline-formula><mml:math id="M133" display="inline"><mml:mo lspace="0mm">-</mml:mo></mml:math></inline-formula>14.2 ‰ and <inline-formula><mml:math id="M134" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>113.4 ‰, respectively; Figs. 5b and S1). In contrast, <inline-formula><mml:math id="M135" display="inline"><mml:mi>d</mml:mi></mml:math></inline-formula>-excess decreased steadily from 12 March, reaching a campaign minimum of <inline-formula><mml:math id="M136" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>10.5 ‰ on 16 March (Fig. 5c). Snowfall isotope samples from Ny-Ålesund broadly track the water vapour variability, with snowfall <inline-formula><mml:math id="M137" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O and <inline-formula><mml:math id="M138" display="inline"><mml:mi>d</mml:mi></mml:math></inline-formula>-excess averaging <inline-formula><mml:math id="M139" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 11 ‰ higher than vapour, consistent with equilibrium condensation fractionation (Supplement Table S1). Sodium aerosol (Na<sup>+</sup>) concentrations also increased sharply as the AR made landfall, rising from background values (<inline-formula><mml:math id="M141" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 0.01 <inline-formula><mml:math id="M142" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g m<sup>−3</sup>)to 1.8 <inline-formula><mml:math id="M144" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g m<sup>−3</sup> on 15–16 March (Fig. 5d).</p>
      <p id="d2e1780">These atmospheric anomalies were accompanied by pronounced surface meteorological changes. Daily mean 2 m air temperatures rose rapidly above freezing, reaching a record March maximum of 5.6 °C on 15 March, coincident with intense rainfall (Fig. 5e, f). A total of 43.9 mm of rain fell that day – the highest daily March rainfall at Ny-Ålesund since observations began in 1975 (Champagne et al., 2024). Snow depth decreased by <inline-formula><mml:math id="M146" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 50 mm, consistent with rainfall-driven compaction and partial melt of the pre-existing snowpack (Fig. 5f).</p>
      <p id="d2e1791">Following the AR, conditions evolved toward a cold and dry regime characteristic of a CAO (Fig. 1b). From 21 March onward, mixing ratios declined below 1000 ppmv, while vapour <inline-formula><mml:math id="M147" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O and <inline-formula><mml:math id="M148" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>H reached campaign minima on 26 March (<inline-formula><mml:math id="M149" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M150" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>47.5 ‰ and <inline-formula><mml:math id="M151" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>380 ‰; Fig. 5a, b). Over the same period, <inline-formula><mml:math id="M152" display="inline"><mml:mi>d</mml:mi></mml:math></inline-formula>-excess increased by <inline-formula><mml:math id="M153" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 27 ‰ relative to AR conditions (Fig. 5a–c). This transition coincided with a reversal in large-scale flow associated with cyclonic activity east of Svalbard, enhancing northerly advection of cold Arctic air across the Fram Strait (Fig. 1b). SATs fell below <inline-formula><mml:math id="M154" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>18 °C and Na<sup>+</sup> concentrations returned to near-zero levels (Fig. 5d–f). Snowfall was confined to the period immediately following the AR, with none observed during the subsequent CAO (Fig. 5f). This snowfall increased measured snow depth above pre-AR levels; however, snow depth then decreased rapidly around 21 March despite air temperatures remaining below 0 °C. This decrease coincided with a sharp increase in local 2 and 10 m wind speeds to <inline-formula><mml:math id="M156" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 16 m s<sup>−1</sup> (not shown), indicating that the reduction in measured depth most likely reflects local wind redistribution or scouring of the fresh snowpack, potentially aided by settling/compaction, rather than melt.</p>
</sec>
<sec id="Ch1.S3.SS4">
  <label>3.4</label><title>Precipitation phase and surface energy response</title>
      <p id="d2e1895">Rain-snow partitioning during the AR was governed by rapid changes in the melting level – the height at which falling snow begins to melt – derived from radiosonde wet-bulb temperature profiles (Fig. S2). The melting level rose from <inline-formula><mml:math id="M158" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 100–350 m a.s.l. during the early AR phase to 585 m a.s.l. on 15 March, before collapsing to <inline-formula><mml:math id="M159" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 22 m a.s.l. on 16 March as the warm maritime column broke down. This evolution closely tracked the transition from mixed-phase precipitation to rainfall and back to snowfall at Ny-Ålesund (Champagne et al., 2024) (Fig. 5f). Meteorological station observations further document the AR's progression across Svalbard, with rainfall first recorded at Hornsund and Ny-Ålesund (Fig. 6a). Peak totals occurred at Ny-Ålesund on 15 March, exceeding those at other stations by more than fivefold (Fig. 6a).</p>

      <fig id="F6" specific-use="star"><label>Figure 6</label><caption><p id="d2e1914">March 2022 AR rain-snow partitioning. <bold>(a)</bold> Observed daily precipitation amount, phase (red: rain, blue: snow), and maximum air temperatures (<inline-formula><mml:math id="M160" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mi mathvariant="normal">max</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) for 11–19 March 2022 recorded at select meteorological stations (black circles) (Norwegian Centre for Climate Services, 2022). Grey vertical shading denotes peak AR conditions. Glacier regions on Spitsbergen are indicated (NW, NE, S), with the Holtedahlfonna-Kronebreen glacier system highlighted in yellow (RGI Consortium, 2023). Total ERA5 <bold>(b)</bold> rainfall and <bold>(c)</bold> snowfall between 15–16 March 2022. The grey 585 m contour in <bold>(b)</bold> marks the radiosonde-derived melting level during the AR. Black circles indicate meteorological stations in <bold>(a)</bold>. Basemaps from (Norwegian Polar Institute, 2014).</p></caption>
          <graphic xlink:href="https://tc.copernicus.org/articles/20/4421/2026/tc-20-4421-2026-f06.png"/>

        </fig>

      <p id="d2e1950">Across Svalbard, ERA5 fields for 15–16 March 2022 reveal pronounced spatial variability in precipitation magnitude and phase (Fig. 6). The AR delivered <inline-formula><mml:math id="M161" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.7 Gt of precipitation in total, comprising <inline-formula><mml:math id="M162" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.5 Gt snowfall and <inline-formula><mml:math id="M163" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.2 Gt rainfall (Fig. 6b–c). Although rainfall accounted for less than one-third of the total, it extended across nearly two-thirds of glacierised terrain, primarily along western coastal margins (Fig. 6b). Snowfall was concentrated over high terrain, with mean accumulations of 30.4, 6.7 and 5.2 mm w.e. across the NW, NE and S glacier regions, respectively, and peak totals exceeding 40 mm w.e. in the NW (Fig. 6c). Over the Holtedahlfonna–Kronebreen glacier system (385 km<sup>2</sup>; 0–1441 m a.s.l.), for which seasonal mass balance data are available(WGMS, 2025), the AR delivered 42.3 mm w.e. of snowfall – equivalent to 8.3 % of the 2022 winter accumulation, offsetting its annual net mass deficit (excluding calving) by <inline-formula><mml:math id="M165" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 5 %.</p>
      <p id="d2e1991">ERA5 data further show that the AR substantially perturbed atmospheric forcing and components of the surface energy budget across Svalbard (Figs. 7 and  S4). Relative to the corresponding 15–16 March 1981–2010 baseline, IWV increased by up to 8 mm along the west coast (Fig. 7a), reaching absolute values of <inline-formula><mml:math id="M166" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 13 mm on 15 March – approximately four-fold above the long-term March mean. The IWV anomalies were statistically significant (<inline-formula><mml:math id="M167" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M168" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05) across the entire archipelago. This anomalous moisture loading enhanced atmospheric emissivity, with downward longwave radiation exceeding baseline values by <inline-formula><mml:math id="M169" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 100 W m<sup>−2</sup> across northwestern Svalbard (Fig. 7b). Mean absolute LWD reached <inline-formula><mml:math id="M171" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 320 W m<sup>−2</sup> (Fig. S4b), with statistically significant anomalies concentrated across western and central Svalbard. Total precipitation anomalies reached up to 40 mm, concentrated over high terrain in the NW glacier region and around Ny-Ålesund (Fig. 7c).</p>

      <fig id="F7" specific-use="star"><label>Figure 7</label><caption><p id="d2e2056">Atmospheric and surface anomalies during the March 2022 AR. Spatial distribution of ERA5 <bold>(a)</bold> mean integrated water vapour (IWV), <bold>(b)</bold> mean downward longwave radiation (LWD), <bold>(c)</bold> total precipitation (TP), <bold>(d)</bold> mean skin temperature (<inline-formula><mml:math id="M173" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>), <bold>(e)</bold> mean latent heat flux (LHF; positive downward), and <bold>(f)</bold> total snowmelt anomalies on 15–16 March 2022, relative to the 1981–2010 climatology. Hatching indicates grid cells where the 15–16 March 2022 anomalies are statistically significant at the 95 % level.</p></caption>
          <graphic xlink:href="https://tc.copernicus.org/articles/20/4421/2026/tc-20-4421-2026-f07.png"/>

        </fig>

      <p id="d2e2091">Surface thermodynamic anomalies were strongly elevation-dependent. Skin temperature anomalies reached <inline-formula><mml:math id="M174" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>6 °C at Ny-Ålesund and up to <inline-formula><mml:math id="M175" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>20 °C over Holtedahlfonna and parts of the NE region (Fig. 7d). Mean absolute skin temperatures of 2 °C are evident across coastal regions of Svalbard (Fig. S4d), with the largest statistically significant anomalies mainly in NW Spitsbergen. Turbulent exchange intensified, with latent heat flux anomalies up to <inline-formula><mml:math id="M176" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 60 W m<sup>−2</sup> along the western coastal margin, decreasing with elevation (Fig. 7e). Despite these pronounced atmospheric and surface perturbations, statistically significant snowmelt was largely confined to low-elevation western coastal zones and across the south, where absolute two-day totals reached  <inline-formula><mml:math id="M178" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 30 mm w.e. in west-central Spitsbergen and <inline-formula><mml:math id="M179" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 6 mm w.e. around Ny-Ålesund. Snow surfaces above <inline-formula><mml:math id="M180" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 500 m a.s.l. exhibited no detectable snow melt response (Fig. 7f). In total, net snowmelt across Svalbard was <inline-formula><mml:math id="M181" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.04 Gt between 15–16 March, 62 % of which impacted glaciers, with the remainder affecting seasonally snow-covered but ice-free terrain.</p>
</sec>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Discussion</title>
      <p id="d2e2165">The March 2022 AR ranks among the most intense winter atmospheric intrusions observed in the High Arctic (Ebell et al., 2025). The 43.9 mm of liquid precipitation recorded at Ny-Ålesund in a single day represents a fourfold increase of the upper-decile AR-associated total (10 mm; 2017–2021) and is nearly an order of magnitude greater than the median winter AR rainfall (5 mm), placing this event at the extreme end of documented Svalbard ARs. Notably, this event occurred in the same month as an extraordinary AR-driven heatwave in East Antarctica (Wille et al., 2024a, b), highlighting the capacity of meridional moisture transport to generate polar extremes in both hemispheres.</p>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>Moisture transport and geochemical evidence</title>
      <p id="d2e2175">Such exceptional high-latitude winter rainfall requires not only anomalous moisture flux but sustained poleward transport that retains high column humidity. Our vapour isotope record captures distinct pulses of Atlantic moisture marked by elevated <inline-formula><mml:math id="M182" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O, negative <inline-formula><mml:math id="M183" display="inline"><mml:mi>d</mml:mi></mml:math></inline-formula>-excess, and a near-meteoric slope, indicating high-humidity marine evaporation and – crucially – limited progressive rainout during the poleward transport (Bailey et al., 2021; Bonne et al., 2015; Leroy-Dos Santos et al., 2020). The concurrent spike in marine Na<sup>+</sup> aerosol further supports sea-salt entrainment from marine boundary-layer sources along the North Atlantic–Greenland Sea AR corridor (Figs. 1 and 2), consistent with direct Atlantic influence and minimal upstream wet scavenging of sea-salt aerosols during transport (Yamagata et al., 2009). Because the March 2022 AR occurred in winter, its enriched isotope signal stands out against a depleted cold-season baseline; comparable summer AR signals may be harder to distinguish from the seasonal isotope maximum. Moreover, the systematic offset we observe between vapour and snowfall isotopes is in line with vapour-to-condensate fractionation, suggesting that the AR isotope anomaly was transferred into deposited snow and may therefore be captured by the snowpack/firn record. Similar AR-related winter <inline-formula><mml:math id="M185" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O enrichment has been observed in the firn record at a cold, high-elevation site with limited melt influence on the Greenland ice sheet (Bailey and Hubbard, 2025), demonstrating that such events can be preserved under favourable conditions. In Svalbard, however, meltwater percolation can modify firn <inline-formula><mml:math id="M186" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O signals  and may also redistribute soluble aerosol species (e.g., Na<sup>+</sup>), complicating preservation in lower-elevation glacier and ice-field records (Spolaor et al., 2024). Where preserved, enriched isotope layers accompanied by marine aerosol markers such as Na<sup>+</sup> may therefore archive extreme marine moisture transport and AR landfalls, rather than simply recording local paleotemperature.</p>
      <p id="d2e2246">The subsequent CAO provides the contrasting isotopic end-member of this coupled AR–CAO sequence (Fig. S3). As the cyclone migrated north-eastward, south-westerly advection was replaced by cold north-easterly flow. This produced depleted vapour isotopes with a shallower <inline-formula><mml:math id="M189" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O–<inline-formula><mml:math id="M190" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>H slope, consistent with stronger kinetic fractionation during air-mass transformation across the sea ice–open water boundary in the Fram Strait under cold, lower-humidity conditions (Brunello et al., 2023; Mix et al., 2019). Na<sup>+</sup> also returned to near-background concentrations (<inline-formula><mml:math id="M192" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 0–0.1 <inline-formula><mml:math id="M193" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g m<sup>−3</sup>), indicating replacement of the Atlantic marine aerosol plume by a distinct Arctic air mass. The low Na<sup>+</sup> values are consistent with transport over more sea-ice-covered regions and reduced open-ocean marine boundary-layer influence, limiting sea-salt aerosol entrainment during the CAO.</p>
      <p id="d2e2317">Cross sections show a low-level jet transporting a deep moisture plume toward Svalbard, with cloud liquid water concentrated below <inline-formula><mml:math id="M196" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2–3 km and depleted only in the lee of the NW glaciated region through orographic precipitation. This lower-tropospheric structure is comparable to radiosonde-observed Antarctic AR landfalls, where specific humidity reaches <inline-formula><mml:math id="M197" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 4 g kg<sup>−1</sup> and strong low-level jets drive enhanced moisture transport (Gorodetskaya et al., 2020). Yet in contrast to Antarctic coastal ARs where humidity maxima and low-level jets may be vertically decoupled, the Svalbard AR showed a more vertically coherent lower-tropospheric moisture-wind anomaly that was primarily modified by NW Svalbard's steep topography at landfall, producing uplift, local flow variability, turbulence, and lee-side cloud/moisture depletion (Fig. 3). Together, these observations indicate that the March 2022 AR delivered a moisture-rich Atlantic air mass to Svalbard with limited rainout and depletion during transport, maintaining high atmospheric humidity and priming the surface for strong radiative forcing.</p>
</sec>
<sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Surface energy balance and cryospheric response</title>
      <p id="d2e2354">This atmospheric perturbation reorganised Svalbard's winter surface energy balance through three reinforcing mechanisms. First, enhanced IWV increased atmospheric emissivity, driving a strong rise in downward longwave radiation that dominated net energy input while shortwave forcing remained minimal at this latitude in late winter. Second, near-saturated AR conditions generated positive latent heat flux anomalies, enhancing downward transfer of latent energy and augmenting longwave-driven warming. Third, rapid elevation of the melting level redistributed this energy vertically across the glacier system, exposing low-elevation snowpacks to rainfall while warming higher-elevation surfaces. Cross-sectional temperature structure confirms a shallow warm maritime layer confined to the lowest <inline-formula><mml:math id="M199" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 700–900 m, intersecting the peak of Svalbard's glacier hypsometry (<inline-formula><mml:math id="M200" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 450 m a.s.l.) while the highest ice caps remained below freezing. Skin temperature responded rapidly, with anomalies reaching up to <inline-formula><mml:math id="M201" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>20 °C over the NW glacierised region. Together, these coupled perturbations eroded the winter thermal deficit and drove significant snowmelt despite the event's winter timing (Fig. 7).</p>
      <p id="d2e2378">The AR generated a mean daily snowmelt of 0.45 mm d<sup>−1</sup> across Svalbard, exceeding the long-term March climatology (0.001 mm d<sup>−1</sup>) by more than two orders of magnitude. Simultaneously, <inline-formula><mml:math id="M204" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 60 % of Svalbard's glacierised area received <inline-formula><mml:math id="M205" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 1 mm of rainfall. Yet independent snow pit observations at Ny-Ålesund show that local snow water equivalent increased(Salzano et al., 2023), demonstrating that much of the liquid input was retained within the snowpack. Where water entered this cold late-winter snowpack, percolation and refreezing would densify near-surface layers and form internal ice horizons (Mikkelsen et al., 2016), releasing latent heat and modifying snowpack thermal structure, thereby contributing to firn densification (Möller and Kohler, 2018; Van Pelt et al., 2016; Van Pelt and Kohler, 2015). This interpretation is consistent with the observed <inline-formula><mml:math id="M206" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 50 mm reduction in snowpack depth (Fig. 5), indicative  of compaction, densification and internal refreezing rather than substantial meltwater runoff. Ice layers documented in the snow stratigraphy of nearby Austre Lovénbreen (<inline-formula><mml:math id="M207" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 8 km southwest of Ny-Ålesund) further support the occurrence of local melt and refreezing processes across low-elevation glacier surfaces (Bernard and Friedt, 2025). Notably, the same study reports earlier seasonal ice exposure relative to 2023, demonstrating that winter ROS episodes can precondition glacier surfaces for earlier ablation onset despite short-term liquid retention. Although much of this liquid input was temporarily retained within the snowpack, the <inline-formula><mml:math id="M208" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.2 Gt of rainfall and <inline-formula><mml:math id="M209" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.04 Gt of snowmelt nonetheless pre-loaded the hydrological system, storing freshwater with the potential to influence runoff timing and magnitude during the subsequent melt season (Kleber et al., 2025).</p>
      <p id="d2e2449">Across the archipelago, accumulation dominated the mass response: the 0.5 Gt of AR-fuelled snowfall represents <inline-formula><mml:math id="M210" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 3 %–4 % of Svalbard's mean annual total ice mass loss (Sasgen et al., 2024) and <inline-formula><mml:math id="M211" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 7 % of its surface mass balance deficit (Schuler et al., 2020). These results demonstrate that a single late-winter AR can deliver sufficient snowfall over a two-day period to offset a measurable fraction of the annual net mass loss, consistent with observations in Greenland and Antarctica (Bailey and Hubbard, 2025; Gorodetskaya et al., 2014). Together with the limited contemporaneous melt and observed retention of rainfall within the snowpack, this indicates that the event likely made a net positive contribution to Svalbard's 2022 surface mass balance. Yet this event was not merely exceptional in magnitude, but dynamically efficient with a strong but nuanced impact on glacier mass balance (Hubbard et al., 2000). The rapid elevation of the melting level by several hundred metres tipped <inline-formula><mml:math id="M212" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 60 % of Svalbard's glacierised area across the winter snow-rain threshold. Although the March 2022 AR demonstrates the capacity of seasonal snow and firn to buffer substantial liquid input through refreezing and internal storage – with refreezing contributing <inline-formula><mml:math id="M213" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 34 % of Svalbard's mass gain (Möller and Kohler, 2018) – the effectiveness of these processes depends critically on snowpack thickness, density profile, and thermal state, while the associated structural changes may reduce pore space and permeability and thereby limit future meltwater storage. The longer-term mass-balance effect is therefore less certain than the positive contribution inferred for 2022. Moreover, Svalbard's glacier hypsometry peaks at <inline-formula><mml:math id="M214" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 450 m a.s.l (Noël et al., 2020), just below the melting level reached during the AR, meaning that even modest thermodynamic shifts in melt-elevation will redistribute precipitation phase across a disproportionately large area of the glacierised surface.</p>
</sec>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <label>5</label><title>Conclusions</title>
      <p id="d2e2497">Since 1979, winter IVT into this Atlantic sector of the Arctic has increased (Rinke et al., 2019), and projections indicate continued intensification and increasing frequency of winter ARs (Nellikkattil et al., 2023; Thaker et al., 2025). In a sensitive maritime Arctic climate increasingly poised near 0 °C, stronger ARs will shift winter precipitation from snow to rainfall (Bintanja and Andry, 2017), reducing the buffering role of snow and firn (Möller and Kohler, 2018) and accelerating Svalbard's runoff and glacier mass loss to proglacial and marine systems (Kopec et al., 2024). These phase transitions also destabilise snowpack structure (Sobota et al., 2020; Vickers et al., 2025) and tundra ecosystems (Aalto et al., 2026; Hiltunen et al., 2022; Niittynen et al., 2020), amplifying ROS hazards (Eckerstorfer and Christiansen, 2012). Svalbard therefore provides a natural testbed for AR-driven winter climate transitions in a rapidly warming Arctic, with the March 2022 event offering a process-level analogue for how continued Arctic amplification is shifting high-latitude winters toward increasingly rain-dominated extremes – despite their capacity to episodically replenish glacier mass.</p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability"><title>Data availability</title>

      <p id="d2e2504">Atmospheric water vapour isotope data are available under a Creative Commons Attribution 4.0 International license at <ext-link xlink:href="https://doi.org/10.5281/zenodo.18888750" ext-link-type="DOI">10.5281/zenodo.18888750</ext-link> (Bailey et al., 2026). Ny-Ålesund radiosonde measurements are available at <ext-link xlink:href="https://doi.org/10.1594/PANGAEA.944406" ext-link-type="DOI">10.1594/PANGAEA.944406</ext-link> (Maturilli, 2022). Surface meteorological observations from Svalbard stations are available at <uri>https://seklima.met.no/</uri> (last access: 17 February 2026). Sodium aerosol data measured at the Zeppelin Observatory are provided by NILU at <uri>https://ebas.nilu.no/</uri> (last access: 12 February 2026). Integrated vapour transport (IVT) data are available at <ext-link xlink:href="https://doi.org/10.20383/103.0935" ext-link-type="DOI">10.20383/103.0935</ext-link> (Mo, 2024b). Glacier mass balance data are available through the World Glacier Monitoring Service at <uri>https://wgms.ch/latest-glacier-mass-balance-data/</uri> (last access: 28 November 2025).   Glacier outlines are provided by the Randolph Glacier Inventory at <uri>https://www.glims.org/RGI/</uri> (last access: 12 February 2026). ERA5 and CARRA data are available from the Copernicus Climate Data Store at <uri>https://cds.climate.copernicus.eu/</uri> (last access: 23 June 2026). MODIS Satellite images are available at <uri>https://www.earthdata.nasa.gov/</uri> (last access: 11 March 2026). Svalbard basemaps are available from the Norwegian Polar Institute at <ext-link xlink:href="https://doi.org/10.21334/NPOLAR.1990.44CA8C2A" ext-link-type="DOI">10.21334/NPOLAR.1990.44CA8C2A</ext-link> (Norwegian Polar Institute, 2017).  The base maps in Fig. 2 derive from the ETOPO5 gridded data set available at NOAA National Centers for Environmental Information here <ext-link xlink:href="https://doi.org/10.25921/fd45-gt74" ext-link-type="DOI">10.25921/fd45-gt74</ext-link> (NOAA National Centers for Environmental Information, 2022).</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d2e2541">The supplement related to this article is available online at <inline-supplementary-material xlink:href="https://doi.org/10.5194/tc-20-4421-2026-supplement" xlink:title="pdf">https://doi.org/10.5194/tc-20-4421-2026-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d2e2550">Conceptualisation: HB and AH. Methodology: HB, JEB, BGK, VH, JMW, DVD, and AH. Formal analysis: HB and JEB. Investigation: HB, JEB, and AH. Resources: HB, JMW, HM, DVD and AH. Data Curation: HB, BGK, VH, JK, and DVD. Writing – Original Draft: HB. Writing – Development, Review &amp; Revision: HB, AH, JEB, and HM. Visualisation: HB and JEB. Funding acquisition: HB, JMW, and AH. Project administration: HB.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d2e2556">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="d2e2562">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="d2e2568">This study was supported by the Water, Energy and Environmental Engineering Research Unit at the University of Oulu, and contributes to the Research Council of Finland-funded Digital Waters (DIWA) Flagship. Water vapour isotope measurements were supported by the UArctic Chair positions held by AH and JMW, and by the University of Oulu and UiT – The Arctic University of Norway. We thank personnel of Ny-Ålesund Research Station – Sverdrup for assistance with collecting fresh snow samples, and the FARLAB at the University of Bergen for their isotopic analysis. We also thank staff at the Zeppelin Observatory for maintaining the vapour isotope instrumentation and supporting long-term atmospheric observations.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d2e2573">This research has been supported by the Research Council of Finland (grant nos. 348536 and 363970) and the Norges Forskningsråd (grant no. 342265). AH gratefully acknowledges support through the Otto Malm Foundation (grant no. 13678).</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d2e2579">This paper was edited by Xavier Fettweis and reviewed by Jonathan Wille and one anonymous referee.</p>
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