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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-25-13077-2025</article-id><title-group><article-title>Impact of cirrus on extratropical tropopause structure</article-title><alt-title>Impact of cirrus on extratropical tropopause structure</alt-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Emig</surname><given-names>Nicolas</given-names></name>
          <email>niemig@uni-mainz.de</email>
        <ext-link>https://orcid.org/0009-0006-5609-591X</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Miltenberger</surname><given-names>Annette K.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-3320-4272</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Hoor</surname><given-names>Peter M.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-6582-6864</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2 aff3">
          <name><surname>Petzold</surname><given-names>Andreas</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-2504-1680</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Institute for Atmospheric Physics, Johannes Gutenberg University Mainz, Johann-Joachim-Becher-Weg 21, 55128 Mainz, Germany</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Institute of Climate and Energy Systems 3 – Troposphere, Forschungszentrum Jülich GmbH, 52428 Jülich, Germany</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Institute for Atmospheric and Environmental Research, University of Wuppertal, 42097 Wuppertal, Germany</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Nicolas Emig (niemig@uni-mainz.de)</corresp></author-notes><pub-date><day>21</day><month>October</month><year>2025</year></pub-date>
      
      <volume>25</volume>
      <issue>20</issue>
      <fpage>13077</fpage><lpage>13101</lpage>
      <history>
        <date date-type="received"><day>17</day><month>December</month><year>2024</year></date>
           <date date-type="rev-request"><day>28</day><month>January</month><year>2025</year></date>
           <date date-type="rev-recd"><day>14</day><month>May</month><year>2025</year></date>
           <date date-type="accepted"><day>24</day><month>June</month><year>2025</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2025 Nicolas Emig et al.</copyright-statement>
        <copyright-year>2025</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/25/13077/2025/acp-25-13077-2025.html">This article is available from https://acp.copernicus.org/articles/25/13077/2025/acp-25-13077-2025.html</self-uri><self-uri xlink:href="https://acp.copernicus.org/articles/25/13077/2025/acp-25-13077-2025.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/25/13077/2025/acp-25-13077-2025.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d2e124">Diabatic processes are essential in shaping the thermodynamic and chemical structure of the extratropical transition layer (ExTL). Cirrus may play a vital role due to associated latent heating and its influence on radiative and turbulent properties. Here we present for the first time a combination of in situ observations of the ExTL thermodynamic structure inside and outside cirrus using a dual-platform approach during the AIRTOSS-ICE campaign and a Lagrangian analysis based on high-resolution simulations. Earlier analysis by <xref ref-type="bibr" rid="bib1.bibx38" id="text.1"/> suggests cirrus formation in stratospherically influenced air based on measured N<sub>2</sub>O mixing ratios. The dual-platform approach reveals substantial disturbances in the vertical profile of potential temperature with a weakened stratification inside the cirrus and sharpening above.</p>

      <p id="d2e139">Lagrangian analysis based on high-resolution ICON simulations suggests that cirrus-related radiative cooling and latent heating are essential for the formation of the observed perturbed potential temperature profile. Radiative cooling and to a lesser degree turbulent heat and momentum transport result in substantial potential vorticity (PV) production in the upper part of the cirrus and a steepening of the vertical potential vorticity gradient. The simulation reproduces key aspects of the observations and the larger-scale evolution as evident from satellite and radiosonde data. Our analysis further indicates that the cirrus particles formed in an already moist ExTL air mass over southern Germany about 12 h before being sampled over the North Sea.</p>

      <p id="d2e142">Our findings underline the importance of diabatic cloud processes for the thermodynamic structure of the ExTL and potential cross-tropopause exchange.</p>
  </abstract>
    
<funding-group>
<award-group id="gs1">
<funding-source>Deutsche Forschungsgemeinschaft</funding-source>
<award-id>428312742</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="d2e154">The upper troposphere/lower stratosphere (UTLS) region plays an important role for the radiation budget of the atmosphere. <xref ref-type="bibr" rid="bib1.bibx50" id="text.2"/> and <xref ref-type="bibr" rid="bib1.bibx14" id="text.3"/> showed the high sensitivity of this region to changes in composition, especially in ozone and water vapor, which is affected by irreversible exchange processes between the troposphere and the stratosphere. Subject to these exchange processes is the formation of the extratropical transition layer (ExTL, <xref ref-type="bibr" rid="bib1.bibx62" id="altparen.4"/>) or “mixing layer” <xref ref-type="bibr" rid="bib1.bibx6 bib1.bibx23 bib1.bibx12" id="paren.5"/>. The ExTL constitutes a layer above the extratropical dynamical tropopause (typically identified as the 2 pvu isoline of potential vorticity), i.e., around the thermal tropopause, where the composition is directly influenced by the extratropical troposphere <xref ref-type="bibr" rid="bib1.bibx24 bib1.bibx45 bib1.bibx18 bib1.bibx63 bib1.bibx47" id="paren.6"/>. It is affected by transient and frequent mixing events leading to varying strengths of gradients in composition, connecting typical tropospheric and stratospheric values of various trace gases. Transport into this layer occurs mainly through three different pathways (e.g., <xref ref-type="bibr" rid="bib1.bibx20 bib1.bibx16" id="altparen.7"/>) with seasonally varying contributions <xref ref-type="bibr" rid="bib1.bibx25 bib1.bibx3" id="paren.8"/>: (i) quasi-isentropic exchange from the tropical upper troposphere across the subtropical jets (e.g., <xref ref-type="bibr" rid="bib1.bibx49 bib1.bibx17" id="altparen.9"/>), (ii) diabatic downward transport from the stratospheric overworld as part of the global stratospheric overturning circulation (Brewer–Dobson circulation, BDC, <xref ref-type="bibr" rid="bib1.bibx5" id="altparen.10"/>), and (iii) stratosphere–troposphere exchange (STE) across the extratropical tropopause (e.g., <xref ref-type="bibr" rid="bib1.bibx57 bib1.bibx53 bib1.bibx59 bib1.bibx11" id="altparen.11"/>). STE can be diagnosed by analysis of the chemical composition. Various trace gases with sources in either the troposphere or the stratosphere such as <inline-formula><mml:math id="M2" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">N</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M3" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M4" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">CO</mml:mi></mml:mrow></mml:math></inline-formula>, or <inline-formula><mml:math id="M5" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> exhibit sharp vertical gradients in the ExTL as do aerosol or cirrus particles, and therefore varying strength of the gradients potentially indicates STE <xref ref-type="bibr" rid="bib1.bibx26 bib1.bibx44" id="paren.12"/>.</p>
      <p id="d2e237">Notably, isentropic composition gradients potentially indicate the effect of irreversible transport and subsequent mixing <xref ref-type="bibr" rid="bib1.bibx31 bib1.bibx32" id="paren.13"/>. Since potential temperature and potential vorticity are conserved quantities under adiabatic conditions, the processes involved in the formation of the ExTL have to be of diabatic nature, i.e., related to turbulence, latent heating, or radiative processes. Turbulence at the dynamical tropopause can result in STE due to the associated irreversible mixing. Waves on planetary and synoptic scales, as well as the breaking of gravity waves, can lead to horizontal and vertical wind shear, thereby favoring the occurrence of turbulence in the tropopause region <xref ref-type="bibr" rid="bib1.bibx31 bib1.bibx27" id="paren.14"/>. Convection also may generate gravity-wave-induced shear, turbulence, and mixing across the tropopause (e.g., <xref ref-type="bibr" rid="bib1.bibx37 bib1.bibx21 bib1.bibx22" id="altparen.15"/>) and thereby transport of large amounts of water into the UTLS. Latent heating due to phase changes of water during cloud formation alters local temperatures, thermal stratification, and potential vorticity (PV). Radiative processes likewise alter the local temperature, and in regions with vertical gradients in optical properties of the atmosphere, e.g., through gradients in chemical composition or at cloud boundaries <xref ref-type="bibr" rid="bib1.bibx14" id="paren.16"/>, they impact the thermal stratification and PV. The alteration of thermal stratification and PV can result in the transfer of air between the stratosphere and the troposphere or vice versa. Furthermore, local temperature changes through latent or radiative heating can foster buoyancy-driven turbulence (e.g., <xref ref-type="bibr" rid="bib1.bibx55" id="altparen.17"/>) and promote mixing. The occurrence of turbulence and cirrus clouds in the region of the dynamical tropopause may therefore be key to quantifying STE <xref ref-type="bibr" rid="bib1.bibx56" id="paren.18"/> and to understanding the spatiotemporal variability of ExTL properties.</p>
      <p id="d2e259">The dynamical environment and microphysical properties of cirrus clouds impact cirrus latent and radiative heating profiles and therefore their role in STE and the ExTL structure. In particular, the microphysical properties of cirrus clouds have been suggested to depend on the cirrus formation mechanism, which can be divided into (at least) two categories <xref ref-type="bibr" rid="bib1.bibx30" id="paren.19"/>. (i) Liquid-origin cirrus forms by freezing of liquid cloud droplets transported to cold temperatures from the lower, much warmer troposphere. This type of cirrus tends to form in updrafts extending over a large fraction of the tropospheric depth (e.g., warm conveyor belts, <xref ref-type="bibr" rid="bib1.bibx61" id="altparen.20"/>, or deep convection). In contrast, (ii) in situ cirrus forms by ice nucleation at temperatures below 235 K without the air becoming saturated with respect to liquid water. Hence, in situ cirrus is typically encountered at very cold temperatures and slow to moderate updrafts. Thus, in situ cirrus is more likely to be found in close proximity to the dynamical tropopause than liquid-origin cirrus. The properties of in situ cirrus can further vary according to updraft speed <xref ref-type="bibr" rid="bib1.bibx30" id="paren.21"/>: slow updrafts associated with frontal systems lead to low ice water content and long lifetimes, while fast updraft causes higher ice water content and shorter lifetime.</p>
      <p id="d2e271">There have been few observations of ice particles above the dynamical or thermal tropopause (e.g., <xref ref-type="bibr" rid="bib1.bibx28 bib1.bibx44 bib1.bibx38 bib1.bibx51" id="altparen.22"/>). Cirrus particles in the ExTL could be the result of extratropical stratosphere–troposphere exchange. However, they could also form from previous water vapor injections and subsequent adiabatic cooling by further uplift or advection to colder regions. Long range transport from low latitudes is highly unlikely since temperatures at the tropical tropopause layer (TTL) are lower than in the midlatitudes, and saturated air passing the TTL would not be saturated anymore once it reaches the midlatitudes <xref ref-type="bibr" rid="bib1.bibx41 bib1.bibx7" id="paren.23"/>. Satellite-based observations of ExTL cirrus have been made <xref ref-type="bibr" rid="bib1.bibx66" id="paren.24"/>, for example, with Lidar (CALIOP; <xref ref-type="bibr" rid="bib1.bibx1" id="altparen.25"/>) or limb sounding measurements (MIPAS, <xref ref-type="bibr" rid="bib1.bibx13" id="altparen.26"/>; CRISTA, <xref ref-type="bibr" rid="bib1.bibx54" id="altparen.27"/>). Despite the fast spatiotemporal coverage of the observations, an essential disadvantage of these remote sensing methods is the low vertical resolution and the reliance on reanalysis models to determine the tropopause height, which makes it difficult to analyze STE associated with small-scale processes.</p>
      <p id="d2e294">In contrast, <xref ref-type="bibr" rid="bib1.bibx38" id="text.28"/> presented a case showing extratropical cirrus occurrence in (chemically) stratospheric air utilizing simultaneous aircraft-based in situ measurements of ice particles and <inline-formula><mml:math id="M6" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">N</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> mixing ratios. The measurements were taken during the AIRTOSS-ICE campaign in 2013 over northern Germany. For the localization of the observed ice particles in the ExTL, <xref ref-type="bibr" rid="bib1.bibx38" id="text.29"/> use <inline-formula><mml:math id="M7" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">N</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> measurements to determine a chemical tropopause. They argue that negative deviations from the tropospheric background mixing ratios in <inline-formula><mml:math id="M8" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">N</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> can only be explained by irreversible mixing with stratospheric air. On one occasion, measurements of ice particles coincided with <inline-formula><mml:math id="M9" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">N</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> levels below the tropospheric background values. Backward air mass trajectories calculated on the basis of ECMWF operational analysis data suggest an uplift across the 2 pvu isosurface in the 3 h before the measurements. The Lagrangian analysis further indicated that the ice particle formation occurred during slow ascent in the upper troposphere and subsequent transport into the lower stratosphere.</p>
      <p id="d2e356">In this study we extend the analysis of <xref ref-type="bibr" rid="bib1.bibx38" id="text.30"/> by newly available Lagrangian diagnostics with much higher temporal and especially vertical resolution based on ICON simulations <xref ref-type="bibr" rid="bib1.bibx35" id="paren.31"/>. The simulations include diabatic tendencies to gain insight into the formation of the observed stratospheric cirrus as well as its impact on the tropopause and ExTL structure.</p>
      <p id="d2e365">Corresponding to the higher model resolution we extended the measurement data presented in <xref ref-type="bibr" rid="bib1.bibx38" id="text.32"/> by simultaneous measurement data from a second platform (the TOSS, <xref ref-type="bibr" rid="bib1.bibx15 bib1.bibx29" id="altparen.33"/>). These additional data allow for the calculation of vertical gradients of temperature and potential temperature, i.e., static stability.</p>
      <p id="d2e374">The model-based hypothesis about cirrus formation and cirrus impact on ExTL structure are supported by comparison with the in situ measurements as well as additional observational data, i.e., satellite observations of cirrus evolution and radiosonde measurements of the thermodynamic structure at upstream locations.</p>
      <p id="d2e377">In particular, the research presented in this study addresses the following questions: <list list-type="custom"><list-item><label>1.</label>
      <p id="d2e382">What is the thermodynamic structure associated with ExTL cirrus occurrence?</p></list-item><list-item><label>2.</label>
      <p id="d2e386">Where and how do the observed stratospheric cirrus particles form?</p></list-item><list-item><label>3.</label>
      <p id="d2e390">Does the cirrus cloud modify the local ExTL (thermo)dynamical structure?</p></list-item></list> The paper is structured as follows. We will first give a short overview about the observations and model tools in Sect. <xref ref-type="sec" rid="Ch1.S2"/>. Section <xref ref-type="sec" rid="Ch1.S3"/> contains a short overview of the synoptic situation, presents observations of the thermodynamic structure and the cirrus occurrence with respect to the tropopause on the basis of the simultaneous observations from the TOSS and the aircraft, and compares the ICON model thermodynamic structure in the measurement region to the in situ data. In Sect. <xref ref-type="sec" rid="Ch1.S4"/> the model-based Lagrangian history of the measured air mass, the cirrus formation mechanism, and the cirrus impact on the ExTL thermodynamic structure are discussed. Section <xref ref-type="sec" rid="Ch1.S5"/> presents satellite observations and radiosonde data in locations upstream of the measurement region to provide evidence for the plausibility of the modeled air mass history. Finally, we close with a summary and brief discussion of our main findings in Sect. <xref ref-type="sec" rid="Ch1.S6"/>.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Methods</title>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>In situ measurements</title>
      <p id="d2e421">Measurements were carried out during the AIRTOSS-ICE campaign with a Learjet G35A of the Gesellschaft für Flugzieldarstellung (GFD) from Hohn, Germany. The aircraft was equipped with the University of Mainz Airborne QCL Spectrometer (UMAQS), an infrared absorption spectrometer which provided <inline-formula><mml:math id="M10" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">N</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M11" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">CO</mml:mi></mml:mrow></mml:math></inline-formula> data with a total uncertainty of 0.39 ppbv for <inline-formula><mml:math id="M12" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">N</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> and 1.40 ppbv for <inline-formula><mml:math id="M13" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">CO</mml:mi></mml:mrow></mml:math></inline-formula> at a measurement frequency of 1 Hz. Details regarding the UMAQS instrument can be found in <xref ref-type="bibr" rid="bib1.bibx38" id="text.34"/>.</p>
      <p id="d2e469">As a unique extension of the measurement setup the aircraft is equipped with the AIRcraft TOwed Sensor Shuttle (AIRTOSS, namesake of the campaign, in the following abbreviated as TOSS). The TOSS constitutes a second measurement platform towed by the Learjet with a vertical distance of typically between 70 and 180 m. The TOSS was released at the first level after takeoff and carries additional lightweight measurement devices, which are partly redundant to the instrumentation on the Learjet and therefore allow the calculation of vertical gradients of the measured quantities as schematically depicted in Fig. <xref ref-type="fig" rid="F1"/>. These redundant measurements include in particular temperatures and cloud particle number concentrations as well as size distributions. The particles at the TOSS were measured by the Cloud Combination Probe and Cloud Droplet Probe (CCP–CDP) instrument in a size range between 2 and 50 <inline-formula><mml:math id="M14" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> <xref ref-type="bibr" rid="bib1.bibx29" id="paren.35"/>. Particle measurements on board the Learjet were taken by a FSSP (Forward Scattering Spectrometer Probe) in a size range between 2 and 47 <inline-formula><mml:math id="M15" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> <xref ref-type="bibr" rid="bib1.bibx8" id="paren.36"/>. In this study both instruments will be used as cloud indicators. Temperature and humidity measurements were taken by two capacitive hygrometers on the Learjet and TOSS, respectively (ICH sensors) <xref ref-type="bibr" rid="bib1.bibx40" id="paren.37"/>. This sensor type is part of the IAGOS measurement instrumental packages and has been evaluated in <xref ref-type="bibr" rid="bib1.bibx39 bib1.bibx40" id="text.38"/>, with estimates of accuracy and precision for temperature and humidity of <inline-formula><mml:math id="M16" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:math></inline-formula> K and 5 % RH<sub>liquid</sub>.</p>

      <fig id="F1" specific-use="star"><label>Figure 1</label><caption><p id="d2e528">Schematic representation of the dual-platform approach for the simultaneous measurement at two levels and calculation of vertical gradients. Background colors represent an arbitrary air mass property changing from low to high values at the tropopause, which can be measured simultaneously by the two platforms.</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/25/13077/2025/acp-25-13077-2025-f01.png"/>

        </fig>

      <p id="d2e538">Potential temperature at the Learjet is calculated from the temperature measurements of the ICH sensor and the static pressure from the altimeter of the Learjet. The pressure at the TOSS was not measured directly and had to be calculated under the assumption of hydrostatic equilibrium from the pressure at the Learjet and the vertical distance between the two platforms derived from GPS data. Relative humidity was derived from the <inline-formula><mml:math id="M18" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> mixing ratios measured by the SEALDH-II instrument with an uncertainty of <inline-formula><mml:math id="M19" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> ppmv <inline-formula><mml:math id="M20" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> for the condition encountered in this study <xref ref-type="bibr" rid="bib1.bibx4" id="paren.39"/>. During flight level changes and turns, the airstream towards the TOSS inlets is perturbed and subject to turbulence. This leads to flow conditions outside the envelope of the normal flight operation and unknown effects on temperature and humidity measurements. In the following we therefore only use data from horizontal flight legs with well-defined flow around the sensors.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>Model simulations</title>
      <p id="d2e588">For a detailed analysis of the water vapor distribution, transport pathways, and cloud formation, simulations with the numerical weather prediction model ICON version 2.6.2 have been conducted <xref ref-type="bibr" rid="bib1.bibx64" id="paren.40"/>. Two model simulations have been conducted and were initialized from the ECMWF (IFS) operational analysis at 12:00 UTC on 6 May 2013 and 00:00 UTC on 7 May 2013, respectively. Integration stops at 00:00 UTC on 8 May 2013. A global simulation on a R3B7 grid (effective grid spacing <inline-formula><mml:math id="M21" display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> 13 km) is refined with two two-way interactive nested grids over central Europe <xref ref-type="bibr" rid="bib1.bibx65" id="paren.41"/>. The two nests use R3B8 and R3B9 grids with effective grid spacings of <inline-formula><mml:math id="M22" display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> 6.5 and <inline-formula><mml:math id="M23" display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> 3.25 km, respectively. In the vertical, 150 model levels between the surface and 23 km altitude are used, the spacing of which follows terrain-following smooth level vertical (SLEVE) coordinates <xref ref-type="bibr" rid="bib1.bibx33" id="paren.42"/>. This results in a vertical grid spacing of about 165 m (200 m) at 10 km (12 km) altitude. A time step of 12 s (6 s; 3 s) is used for the integration of the model on the three grids. Sub-grid-scale processes are described by the following parameterizations: the Tiedtke–Bechtold convection scheme (deep convection in the global domain only, <xref ref-type="bibr" rid="bib1.bibx60 bib1.bibx2 bib1.bibx9" id="altparen.43"/>), turbulence following <xref ref-type="bibr" rid="bib1.bibx48" id="text.44"/>, sub-grid-scale orographic drag following <xref ref-type="bibr" rid="bib1.bibx34" id="text.45"/>, non-orographic gravity wave drag following <xref ref-type="bibr" rid="bib1.bibx43" id="text.46"/>, cloud processes by the double-moment scheme from <xref ref-type="bibr" rid="bib1.bibx52" id="text.47"/>, and radiation by the ecRad scheme <xref ref-type="bibr" rid="bib1.bibx19" id="paren.48"/>.</p>
      <p id="d2e641">Lagrangian analysis is facilitated by the computation of online trajectories during the simulation <xref ref-type="bibr" rid="bib1.bibx35 bib1.bibx42" id="paren.49"/>. Online trajectories are calculated based on the resolved wind field on the native grid and time step of the ICON model in the best-resolved nest at a given geolocation. Trajectories are started at model initialization at all grid points and vertical levels between 500 m and 15 km in three sub-regions: <inline-formula><mml:math id="M24" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2 to 5° E and 47 to 52° N, 3 to 12° E and 43 to 48.5° N, and 10 to 18° E and 46 to 50° N. The regions have been selected on the basis of backward offline trajectories calculated from the ICON wind fields at 15 min resolution with LAGRANTO <xref ref-type="bibr" rid="bib1.bibx58" id="paren.50"/>. In total about 6.1 million online trajectories have been computed. Output of (thermo)dynamic variables as well as integrated potential vorticity (PV), potential temperature (<inline-formula><mml:math id="M25" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula>), and selected moisture tendencies are available every 10 min along the trajectories. For further analysis, we have selected trajectories that pass through the area of Learjet measurements (6.5 to 7.5° E and 54.2 to 55.2° N, 8 to 12 km altitude) between 14:00 and 16:00 UTC on 7 May 2013.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>UTLS structure in the measurement region</title>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Synoptic situation</title>
      <p id="d2e680">The synoptic situation on the day before the flight, i.e., 6 May 2013, is characterized by southerly flow over Germany associated with a ridge and weak trough at its western flank. Until the time of measurement the ridge shifted slightly towards the east, but southerly flow still prevailed over Germany. The trough developed into a filament accompanied by streamers of stratospheric air and filaments of dry air between an approaching weak cyclonic system from the west and the eastward-shifted ridge. An associated elongated PV filament extended southwards to central Italy. In connection with the southerly flow at the western flank of the ridge high humidity is transported to the north, just adjacent to the dry filament, leading to strong humidity gradients in the upper troposphere over western Germany. Satellite images suggest that optically thin cirrus clouds form in the humid southeasterly flow at the western edge of the ridge over southern Germany and are advected to the North Sea region (see Sect. <xref ref-type="sec" rid="Ch1.S5"/>). Convective activity in the afternoon of 6 May and the morning of 7 May over eastern Germany and eastern Europe extending northwards from the Baltics may have contributed to the moistening of the ridge, albeit likely with no direct contribution to the ExTL cirrus discussed here (see also Sect. <xref ref-type="sec" rid="Ch1.S4"/>). However, the optically thick upper-tropospheric cirrus below the ExTL is likely partly linked to this convection (see Fig. <xref ref-type="fig" rid="FA2"/>). Furthermore, in the early morning of 7 May some deep clouds formed over the Benelux region, likely influencing upper-tropospheric humidity westwards of the stratospheric filament.</p>
</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Observed temperature, humidity, and cloud structure of the UTLS</title>
      <p id="d2e697">The section of the flight path considered in this study is depicted in Fig. <xref ref-type="fig" rid="F2"/>, with the occurrence of cirrus particles marked in orange for the TOSS platform and yellow for the Learjet. The measurements show an extended cirrus deck, with its upper edge initially localized between the two measurement platforms until the Learjet also reaches the cloud top at around 55.0° N, 7.2° E. We focus on a short section from 15:08:00 UTC, when ice particles are first measured at the TOSS, to 15:16:00 UTC, before the Learjet changes altitude to the next, higher, flight leg. This section of the flight took place on a pressure level of 250 hPa and is considered to be in the stratosphere since <inline-formula><mml:math id="M26" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">N</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> mixing ratios never reached tropospheric values of 325.9 ppbv (Fig. <xref ref-type="fig" rid="F3"/>a, upper panel) as also discussed in <xref ref-type="bibr" rid="bib1.bibx38" id="text.51"/>. This is consistent with PV values of 2–4 pvu indicated by ERA5 analysis at the location of the aircraft (Fig. <xref ref-type="fig" rid="F3"/>a, second panel). The thermal tropopause, derived from the temperature profile during the descent of the Learjet as depicted in Fig. <xref ref-type="fig" rid="F3"/>b, left panel, had an altitude of 10.35 km, which is below the level of cirrus measurements at the Learjet with an altitude of 10.4 km. Note, however, that the temperature profile was recorded several minutes after the cirrus occurrence. The third panel in Fig. <xref ref-type="fig" rid="F3"/>a shows the potential temperature measured by the Learjet (blue) and TOSS (green) along the flight segment and an indication of observed ice particles by the gray and black circles. Over the entire considered time period, cirrus particles were measured at the TOSS at a potential temperature of up to <inline-formula><mml:math id="M27" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M28" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 320 K. At the beginning of this flight section the Learjet was located above the cirrus deck at a potential temperature of <inline-formula><mml:math id="M29" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M30" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 322 K. During the horizontal (i.e., isobaric) flight leg, the potential temperature at the position of the Learjet decreased slowly over time, while the potential temperature at the TOSS varied around <inline-formula><mml:math id="M31" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M32" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 320 K. At the time when cirrus particles were also measured at the Learjet, the potential temperature reached <inline-formula><mml:math id="M33" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M34" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 320 K as well.</p>

      <fig id="F2" specific-use="star"><label>Figure 2</label><caption><p id="d2e786"><bold>(a)</bold> Geographic location of the flight path (orange) on 7 May 2013. Measurement area (between 6.5–7.6° E and 54.3–55.1° N) marked in yellow. Colors: pressure on 2 pvu isosurface at time of measurement (ERA5). <bold>(b)</bold> Flight path for the analyzed flight limited to the measurement area. The flight section considered in this analysis is highlighted in purple. Cirrus occurrence measured at the Learjet (TOSS) is marked in yellow (orange).</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/25/13077/2025/acp-25-13077-2025-f02.png"/>

        </fig>

      <fig id="F3" specific-use="star"><label>Figure 3</label><caption><p id="d2e802"><bold>(a)</bold> Time series of <inline-formula><mml:math id="M35" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">N</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> at the Learjet (black) with the chemical <inline-formula><mml:math id="M36" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">N</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> tropopause indicated by the red line; PV at the Learjet, interpolated on the flight track from ERA5 reanalysis data (magenta); and potential temperature at the Learjet (blue) and TOSS (green) and gradient of potential temperature <inline-formula><mml:math id="M37" display="inline"><mml:mi mathvariant="normal">Θ</mml:mi></mml:math></inline-formula> (teal). Gray (black) underlay shows the encounter of ice particles at the TOSS (Learjet). <bold>(b)</bold> Vertical profiles of temperature (left) and potential temperature (right) for the Learjet (blue) and TOSS (green). Gray (black) underlay shows the encounter of ice particles at the TOSS (Learjet). The thermal tropopause, derived from the descent temperature profile, is marked in red.</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/25/13077/2025/acp-25-13077-2025-f03.png"/>

        </fig>

      <p id="d2e850">The combined TOSS and Learjet measurements allow for the derivation of the vertical temperature gradient above and in the cirrus, which is shown in the bottom panel of Fig. <xref ref-type="fig" rid="F3"/>a. Over the considered flight section, the vertical distance between the TOSS and the Learjet was constant. At 15:08:00 UTC a positive vertical gradient of potential temperature was measured, i.e., higher potential temperatures above the cirrus deck then within, as expected in the stratosphere and consistent with the vertical profile (Fig. <xref ref-type="fig" rid="F3"/>b, right panel). However, inside the cirrus (at <inline-formula><mml:math id="M38" display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> 15:14:00 UTC, where both platforms measured cirrus particles) the gradient of potential temperature vanishes. Hence, the measurements indicate different regimes of static stability: neutral stratification inside the cirrus and, starting at the cirrus top, high static stability above the cirrus.</p>
      <p id="d2e864">Correlations of <inline-formula><mml:math id="M39" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">CO</mml:mi></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M40" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">N</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> measurements are shown in Fig. <xref ref-type="fig" rid="F4"/>, colored with potential temperature (a) and relative humidity with respect to ice (b). The two species show compact mixing lines typical for the ExTL, connecting typical values of mixing ratios for the troposphere with such typical for a reservoir deeper in the stratosphere for both species, thereby indicating irreversible mixing. The mixing line with lower <inline-formula><mml:math id="M41" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">N</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> mixing ratios corresponds to the western part of the flight section at about 6.6° E, which is not influenced by the cirrus at the Learjet level, albeit showing cirrus occurrence at the TOSS (see Fig. <xref ref-type="fig" rid="F2"/>). Values of relative humidity with respect to ice based on measurements of <inline-formula><mml:math id="M42" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> mixing ratios, temperature, and pressure at the Learjet do not exceed 70 % in this segment of the flight (Fig. <xref ref-type="fig" rid="F4"/>b). However, on the mixing line with higher <inline-formula><mml:math id="M43" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">N</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> mixing ratios, corresponding to the flight segment with cirrus occurrence at the Learjet level, relative humidity exceeds saturation (RH<sub>ice</sub> <inline-formula><mml:math id="M45" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 100 %) inside the cirrus and reaches up to RH<sub>ice</sub> <inline-formula><mml:math id="M47" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 140 % in close vicinity to the cirrus in clear air. The highest values of relative humidity coincide with the lowest potential temperature (Fig. <xref ref-type="fig" rid="F4"/>a) during the entire flight leg. The presence of two distinct mixing lines suggests a different air mass history in terms of the occurrence of mixing events and contributing air masses for air above and in the cirrus layer.</p>

      <fig id="F4" specific-use="star"><label>Figure 4</label><caption><p id="d2e971">Scatterplots of <inline-formula><mml:math id="M48" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">N</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> versus <inline-formula><mml:math id="M49" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">CO</mml:mi></mml:mrow></mml:math></inline-formula> color coded with <bold>(a)</bold> potential temperature and <bold>(b)</bold> relative humidity with respect to ice. Brown circles indicate cirrus occurrence. Each quantity measured at the Learjet level. The <inline-formula><mml:math id="M50" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">N</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula>-defined tropopause at 325.9 ppbv is marked as a red line with lower <inline-formula><mml:math id="M51" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">N</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> mixing ratios implying stratospheric air.</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/25/13077/2025/acp-25-13077-2025-f04.png"/>

        </fig>

      <p id="d2e1034">In summary, during AIRTOSS-ICE, observations of a cirrus cloud located in an air mass with a distinct stratospheric chemical signature were obtained. The direct measurement of stratification inside the cirrus and in the surroundings with the dual-platform approach suggests reduced stability inside and strong stratification above the cirrus. The occurrence of cirrus particles in this air mass is accompanied by high relative humidity with respect to ice.</p>
</sec>
<sec id="Ch1.S3.SS3">
  <label>3.3</label><title>Modeled temperature, humidity, and cloud structure in the UTLS in the measurement region</title>
      <p id="d2e1045">We analyze the structure of the UTLS as represented in the ICON simulation in a 2 h window around the observations presented in Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/> and at the geographic location of the aircraft measurement (6.5–7.5 and 54.3–55.1° E; see also Fig. <xref ref-type="fig" rid="F2"/>), which we will refer to as “measurement area” in the following. Exact spatiotemporal matching of ICON and aircraft is not attempted, as the finite horizontal and vertical grid spacing as well as initial condition and model uncertainty make a  perfect forecast of features on the scale discussed in Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/> extremely unlikely. Nevertheless, as we will demonstrate in the following, the model is able to capture some key features of the observed UTLS and cirrus structure. This section focuses on the UTLS structure in the simulation started at 00:00 UTC on 7 May 2013; equivalent metrics for the simulation started 12 h earlier are shown in Appendix A. The latter simulation is also discussed in Sect. <xref ref-type="sec" rid="Ch1.S5"/>.</p>
      <p id="d2e1056">The modeled UTLS structure (potential temperature, potential vorticity, water content, and ice content) and its evolution in the area targeted by the flight is shown in Fig. <xref ref-type="fig" rid="F5"/>. At the altitude of the aircraft measurements (Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/>) the model locates the transition region between tropospheric, low-PV, and weakly stratified air and stratospheric, high-PV, and strongly stratified air (Fig. <xref ref-type="fig" rid="F5"/>a, b). The simulated vertical profile of potential temperature (Fig. <xref ref-type="fig" rid="F5"/>a) matches the transition from tropospheric to stratospheric stability at the aircraft location as observed (Fig. <xref ref-type="fig" rid="F3"/>). PV in the two model levels closest to the aircraft altitude increases rapidly from below 2 to 3 pvu on average, i.e., suggesting the location of the dynamical tropopause at around the altitude of the aircraft (Fig. <xref ref-type="fig" rid="F5"/>b). This is consistent with ICON data interpolated to the Learjet position, which shows PV values in the range of 2–3 pvu (not shown), which is slightly lower than in ERA5. However, it should be noted that a vertical displacement less than the distance between two successive model levels suffices to significantly improve the consistency of ICON and ERA5. A slightly higher position of the modeled tropopause than in observations is supported by potential temperature at the aircraft altitude being about 1.5 K colder in the model (not shown). Over the considered time period from 14:00 to 16:00 UTC the vertical PV and potential temperature gradient at around 10.5 km altitude slightly increases.</p>

      <fig id="F5" specific-use="star"><label>Figure 5</label><caption><p id="d2e1074">Height profiles of the average <bold>(a)</bold> potential temperature, <bold>(b)</bold> potential vorticity, <bold>(c)</bold> total water mass mixing ratio, and <bold>(d)</bold> ice mass mixing ratio from the ICON simulation. The different line colors represent profiles sampled at different times between 14:10:00 and 16:10:00 UTC on 7 May 2013. Averages are taken over all grid points within 6.5–7.5 and 54.3–55.1° E; spatial variability as represented by the maximum and minimum value at a particular altitude is shown by the horizontal bars. The average altitude of the Learjet leg discussed in Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/> is indicated by the dark-blue horizontal line and that of the TOSS by the green horizontal line. The simulation starting at 00:00 UTC on 7 May 2013 is shown.</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/25/13077/2025/acp-25-13077-2025-f05.png"/>

        </fig>

      <p id="d2e1098">The ice mass mixing ratio profiles suggest a cirrus cloud extending up to about 10.7 km in the model (Fig. <xref ref-type="fig" rid="F5"/>c). Near-constant mass mixing ratios are simulated between 9.0 and about 10.0 km, with an increasingly rapid drop in the four model levels above. Over the analyzed 2 h time window the mass mixing ratio of ice gradually increases (Fig. <xref ref-type="fig" rid="F5"/>c). Ice mass mixing ratios of around 0.1 mg kg<sup>−1</sup> are found up to PV values of about 4 pvu, which suggests the presence of ExTL cirrus consistent with observations (Fig. <xref ref-type="fig" rid="F6"/>a). Vertical profiles subsampled for model columns with and without cirrus indicate that the potential temperature gradient in upper part of the cirrus layer is smaller than in the surrounding air and above the cirrus (Fig. <xref ref-type="fig" rid="F6"/>b). Note, however, that the modeled stratification is substantially larger than the neutral stratification observed by the Learjet–TOSS platform. Consistent with the smaller vertical potential temperature gradient, PV values in the cirrus column are smaller than in the surrounding air (Fig. <xref ref-type="fig" rid="F6"/>c).</p>
      <p id="d2e1124">The total water content, i.e., the sum of specific humidity and cloud condensate, remains almost constant throughout the considered 2 h time period (Fig. <xref ref-type="fig" rid="F5"/>d). The humidity gradient changes rapidly at about 10.6 km altitude to larger values at higher altitudes. Hence, the tropospheric humidity gradient is continuing beyond the dynamical tropopause, consistent with the Learjet observations and the presence of a mixing-influenced ExTL.</p>

      <fig id="F6" specific-use="star"><label>Figure 6</label><caption><p id="d2e1131"><bold>(a)</bold> Ice mass mixing ratio as a function of the potential vorticity in the region 6.5–7.5 and 54.3–55.1° E and times between 14:10:00 and 16:10:00 UTC on 7 May 2013. The color coding indicates the potential temperature gradient at the respective grid points. Only grid points at altitudes above 10 km are considered. Composite profiles of <bold>(b)</bold> potential temperature gradient <inline-formula><mml:math id="M53" display="inline"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>∂</mml:mo><mml:mi mathvariant="italic">θ</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>z</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:math></inline-formula> and <bold>(c)</bold> potential vorticity PV in the measurement area for times and location with cloud tops above 10 km (blue), cloud tops below 10 km (green), and no clouds (gray) being present.</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/25/13077/2025/acp-25-13077-2025-f06.png"/>

        </fig>

      <p id="d2e1165">The simulation with the earlier start time has a much higher tropopause with less sharp gradients. Therefore, the cirrus layer is found predominantly at tropospheric PV values (Fig. <xref ref-type="fig" rid="FA1"/>). Hence, the match with observation is not as good as in the simulation with the later initialization date. Nonetheless, contrasting the two simulations provides insight into the processes leading to the cirrus formation and moisture content of the lower stratosphere as well as potential model deficiencies in the representation of diabatic PV production, as discussed in more detail in Sect. <xref ref-type="sec" rid="Ch1.S5"/>.</p>
      <p id="d2e1172">In summary, the model simulation contains an ExTL cirrus expanding to well above the local dynamical tropopause as well as reduced stratification in the cirrus. This structure of the UTLS is qualitatively consistent with the observations, although there are some small quantitative differences, e.g., concerning tropopause altitude.</p>
</sec>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Lagrangian perspective on the emergence of the modeled UTLS structure</title>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>Air mass origin</title>
      <p id="d2e1191">The UTLS structure as observed with the Learjet/TOSS framework and captured by the ICON model emerges due to advection and diabatic processes in the hours and days before arrival over the North Sea. To investigate these processes we analyze high-resolution air mass trajectories from the ICON model simulations.</p>
      <p id="d2e1194">The path as well as the temporal evolution of PV and ice mass mixing ratio for trajectories arriving in the measurement area is shown in Fig. <xref ref-type="fig" rid="F7"/>. The different rows show different subsets of trajectories: the first two rows show trajectories passing through areas with tropospheric (557 trajectories) and stratospheric (309 trajectories) air mass composition based on the Learjet/TOSS <inline-formula><mml:math id="M54" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">N</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> measurements, respectively. The last row shows trajectories arriving in the measurement area with PV values larger than 2 pvu and ice mass mixing ratios larger than 10<sup>−3</sup> mg kg<sup>−1</sup> (1511 trajectories). The PV values in tropospheric air are predominantly smaller than 2 pvu, with a few exceptions at the lowest pressures, which may be due to inconsistencies in the location of the local tropopause in the model and observations (fraction of trajectories with PV <inline-formula><mml:math id="M57" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 2 pvu <inline-formula><mml:math id="M58" display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> 7 %). The tropospheric air mass contains a thick cirrus layer consistent with the profiles shown in Sect. <xref ref-type="sec" rid="Ch1.S3.SS3"/>, which forms in slowly ascending air masses over southeastern Germany about 12 h before arrival in the measurement area (Fig. <xref ref-type="fig" rid="F7"/>a–c).  The ice mass mixing ratio displays strong temporal variability likely induced by gravity waves associated with the passage over the small mountain ranges in central Germany. These wave motions are superimposed on the general slow ascent as already discussed in <xref ref-type="bibr" rid="bib1.bibx38" id="text.52"/>. As will be discussed later, the cirrus evolution is consistent with the indication of cirrus presence from MSG satellite data (see Sect. <xref ref-type="sec" rid="Ch1.S5"/>).</p>

      <fig id="F7" specific-use="star"><label>Figure 7</label><caption><p id="d2e1262">Path of trajectories arriving in the measurement area between 13:40:00 and 16:00:00 UTC with <bold>(a–c)</bold> tropospheric marker (557 trajectories), <bold>(d–f)</bold> stratospheric marker (309 trajectories), and <bold>(g–i)</bold> PV <inline-formula><mml:math id="M59" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 2 pvu and <inline-formula><mml:math id="M60" display="inline"><mml:mrow><mml:msub><mml:mi>q</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M61" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 10<sup>−3</sup> mg kg<sup>−1</sup> (1511 trajectories). Panels <bold>(a)</bold>, <bold>(d)</bold>, and <bold>(g)</bold> show the geographic path of the trajectories and the color represents the pressure at which they are located. Panels <bold>(b, e, h)</bold> and <bold>(c, f, i)</bold> show the temporal evolution of the pressure of the air parcels, and the line color represents <bold>(b, e, h)</bold> potential vorticity and <bold>(c, f, i)</bold> ice mass mixing ratio, respectively.</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/25/13077/2025/acp-25-13077-2025-f07.png"/>

        </fig>

      <p id="d2e1353">The trajectories arriving in the area with stratospheric air mass characteristics according to the observations are located on average at slightly higher altitudes, slightly further west (Fig. <xref ref-type="fig" rid="F7"/>d–f), and arrive in the measurement area predominantly in the later half of the considered time interval (not shown). They also contain an extensive cirrus cloud, but PV values are predominantly around 2 pvu. Again some spatiotemporal inconsistency between model simulation and observed situation may explain the presence of some trajectories with PV values below 2 pvu. The cirrus structure and the general characteristics of the vertical motions are not systematically different from the trajectories traveling through the area with observed tropospheric characteristics. Importantly, this also holds when considering the subset of trajectories with stratospheric PV values and cirrus content in the model (Fig. <xref ref-type="fig" rid="F7"/>g–i). The major differences are a shift towards even lower pressures and the dismissal of the easternmost origin region. As the general characteristics of the evolution do not differ substantially for the last two trajectory subsets, we focus in the following analysis on the trajectories with PV <inline-formula><mml:math id="M64" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 2 pvu and <inline-formula><mml:math id="M65" display="inline"><mml:mrow><mml:msub><mml:mi>q</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M66" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 10<sup>−3</sup> mg kg<sup>−1</sup>. This offers a physically consistent picture on the emergence of the observed ExTL cirrus.</p>
</sec>
<sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Cirrus cloud formation mechanism</title>
      <p id="d2e1418">The extensive cirrus cloud seen in Fig. <xref ref-type="fig" rid="F7"/> emerges in the 12 h before the arrival of the trajectories in the measurement area and arises by a combination of moist ExTL air over southern Germany (see discussion of Fig. <xref ref-type="fig" rid="F8"/> and Sect. <xref ref-type="sec" rid="Ch1.S5"/>) and strong lifting of up to 25 hPa, which corresponds to a vertical displacement of about 1000 m (median: <inline-formula><mml:math id="M69" display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> 500 m) (not shown), during its northward propagation. Cirrus clouds are formed in the model by deposition nucleation as indicated by the process rates from the different ice formation parameterizations in ICON traced along the trajectories, which are zero for all processes except deposition nucleation (not shown). Deposition nucleation may be overestimated by the used parameterization as it was developed for dust outbreak cases over central Europe. Relative humidity over ice RH<sub>ice</sub> in the cirrus layer, which is completely below the homogeneous freezing temperature, peaks at around 120 %, consistent with deposition nucleation being the dominant mode of nucleation (Fig. <xref ref-type="fig" rid="F8"/>a). If only cirrus clouds along trajectories with substantial deposition nucleation rates are considered, the small RH<sub>ice</sub> values are not present anymore, because air parcels acquiring ice through sedimentation are excluded (compare filled and unfilled histograms in Fig. <xref ref-type="fig" rid="F8"/>a). This distribution of relative humidity is consistent with observed relative humidity in cirrus clouds from IAGOS measurements <xref ref-type="bibr" rid="bib1.bibx46" id="paren.53"/>.</p>

      <fig id="F8" specific-use="star"><label>Figure 8</label><caption><p id="d2e1462"><bold>(a)</bold> Distribution of RH<sub>ice</sub> values in cirrus clouds forming along the trajectories arriving in the measurement area. The dark-blue histogram shows the distribution if only parcels with substantial accumulated ice nucleation rates (<inline-formula><mml:math id="M73" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 10<sup>−8</sup> kg kg<sup>−1</sup>) are taken into account. <bold>(b)</bold> Change in parcel total water content <inline-formula><mml:math id="M76" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>q</mml:mi><mml:mi>t</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> from the start of the simulation, i.e., 00:00 UTC on 7 May 2013, until the parcel arrives in the measurement area. The black line shows the median <inline-formula><mml:math id="M77" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>q</mml:mi><mml:mi>t</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>; the gray shading shows the 25th–75th and 5th–95th percentile range. Similarly the change in total water from the turbulence parameterization is shown in blueish colors and that from sedimentation into the parcels by warm colors.</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/25/13077/2025/acp-25-13077-2025-f08.png"/>

        </fig>

      <p id="d2e1543">The Lagrangian diagnostics allow us to assess the change in humidity during the transport. Figure <xref ref-type="fig" rid="F8"/>b shows the Lagrangian change in total water content from 00:00 UTC on 7 May 2013 until the arrival of the trajectories in the measurement area. The dominant feature is a loss of total moisture of air parcels with less than 4 pvu, which coincides with the vertical extent of the cirrus deck. Hence, there is no indication that the ExTL air mass located between 2 and 6 pvu gained substantial moisture in the 12 h preceding its arrival in the measurement area. If considering the parcel's initial PV for constructing the vertical profile, the same structure emerges with small variations (not shown). This suggest that vertical scrambling of air parcels and non-uniformity of Lagrangian PV change does not affect our diagnostics of moisture change. The relatively high moisture content in the source region is consistent with evidence from MSG satellite data and radiosonde data over southern Germany (as discussed in detail later; see Sect. <xref ref-type="sec" rid="Ch1.S5"/>).</p>
</sec>
<sec id="Ch1.S4.SS3">
  <label>4.3</label><title>Cirrus impact on the PV structure and potential STE</title>
      <p id="d2e1558">The Lagrangian diagnostics further allow us to assess when the air parcels obtained their stratospheric characteristics at least in terms of their PV. Consistent with the visual perception of the data in Fig. <xref ref-type="fig" rid="F7"/> only a small fraction cirrus-forming trajectories passed the dynamical tropopause in the 12 h before the arrival in the measurement area (Fig. <xref ref-type="fig" rid="F9"/>a): of the fraction of trajectories that contain ExTL cirrus in the measurement areas, only 12.5 % transition from below to above 2 pvu values in the considered time period and only 7.7 % do so after the formation of cirrus. These trajectories that undergo troposphere-to-stratosphere exchange arrive in the measurement area with PV values only slightly larger than 2 pvu (mean: 2.24; maximum 2.89 pvu). This is consistent with the relatively small <inline-formula><mml:math id="M78" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mtext>PV</mml:mtext></mml:mrow></mml:math></inline-formula> for parcels located close to the dynamical tropopause in Fig. <xref ref-type="fig" rid="F9"/>a). Further, this implies that the majority of trajectories form cirrus in dynamically stratospheric air and cirrus is not “mixed in” from dynamically tropospheric air.</p>

      <fig id="F9" specific-use="star"><label>Figure 9</label><caption><p id="d2e1579"><bold>(a)</bold> Change in parcel potential vorticity <inline-formula><mml:math id="M79" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mtext>PV</mml:mtext></mml:mrow></mml:math></inline-formula> from the start of the simulation, i.e., 00:00 UTC on 7 May 2013, until its arrival in the measurement area. The black line shows the median <inline-formula><mml:math id="M80" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mtext>PV</mml:mtext></mml:mrow></mml:math></inline-formula>; the gray shading indicates the 25th–75th percentile range. <inline-formula><mml:math id="M81" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mtext>PV</mml:mtext></mml:mrow></mml:math></inline-formula> due to temperature changes from the radiation, microphysics, turbulence, and orographic drag parameterization are shown by the purple, blue, dark-green, and magenta lines (plus shading). The light-green line (plus shading) shows <inline-formula><mml:math id="M82" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mtext>PV</mml:mtext></mml:mrow></mml:math></inline-formula> from vertical momentum flux (turbulence and orographic drag parameterizations). <bold>(b–f)</bold> Composite profile along air parcels arriving in the measurement area with PV <inline-formula><mml:math id="M83" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 2 pvu and <inline-formula><mml:math id="M84" display="inline"><mml:mrow><mml:msub><mml:mi>q</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M85" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 10<sup>−3</sup> mg kg<sup>−1</sup>: variables shown are <bold>(b)</bold> PV, <bold>(c)</bold> PV tendency from radiation parameterization, <bold>(d)</bold> PV tendency from temperature changes by the turbulence parameterization, <bold>(e)</bold> PV tendency from microphysics parameterization, and <bold>(f)</bold> PV tendency from momentum transport by the turbulence parameterization. The thick solid black (white) line shows the position of the 2 pvu isoline in panels <bold>(c)</bold>–<bold>(f)</bold> <bold>(b)</bold> and the respective dashed lines the 6 pvu isoline. The red hatching illustrates the vertical position of trajectories containing an ExTL cirrus in the measurement region. The hatching with open (closed) dots in panel <bold>(b)</bold> illustrates the presence of ice mass mixing ratios larger than 10<sup>−9</sup> kg kg<sup>−1</sup> (10<sup>−6</sup> kg kg<sup>−1</sup>). Profiles have been retrieved from 10 min Eulerian output at the native ICON grid and have been interpolated to the horizontal location of the air parcels.</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/25/13077/2025/acp-25-13077-2025-f09.png"/>

        </fig>

      <p id="d2e1760">Diabatic PV modification becomes more important for parcels deeper into the ExTL: those arriving with PV values between 3 and 4 pvu gained about 1 pvu in the preceding 12 h (Fig. <xref ref-type="fig" rid="F9"/>a). However, due to their larger initial PV values, these trajectories did not pass the dynamical tropopause in the considered time period. Evaluation of the PV budget along trajectories indicates the strongest contribution from changes in thermal stratification by radiative processes (red line) followed by changes in thermal stratification and momentum by turbulent processes (light- and dark-green lines). Below 3 pvu some negative PV tendency due to latent heating from cloud microphysics is evident (blue line). Note that the Lagrangian PV budget is difficult to close likely due to the reconstruction of PV and vorticity gradients on the staggered vertical grid followed by interpolation to the parcel positions. In particular, the turbulent PV tendency field is relatively noisy on the native model grid spacing (<inline-formula><mml:math id="M92" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>x</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M93" display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> 3.25 km), as has been noted by previous studies <xref ref-type="bibr" rid="bib1.bibx42" id="paren.54"/>. Composite profiles of the PV and PV modification terms along the trajectories are therefore more useful in discerning the key physical mechanisms (note that the results are qualitatively consistent with the statistics along the trajectories). The compact nature of the trajectory bundle contributing to the ExTL cirrus and the limited vertical and horizontal shear allow a physical meaningful analysis of composite profiles, which are shown in Fig. <xref ref-type="fig" rid="F9"/>b–f. Composites are constructed for different times <inline-formula><mml:math id="M94" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> before the arrival of trajectories in the measurement area. The PV profile indicates a narrowing of the geometric vertical extent of the ExTL, if defined as the layer between the 2 and 6 pvu isoline (Fig. <xref ref-type="fig" rid="F9"/>b). The trajectories forming the cirrus cloud in the measurement area (red hatching) travel in the ExTL, and the ExTL coincides with the top of the extensive cirrus deck (dots). The composite analysis suggests that the narrowing of the ExTL is mainly driven by increasing PV in the upper part of the ExTL, i.e., the highest-altitude parcels. Radiative PV modification provides a consistent source of increasing PV values close to the top of the cirrus deck, consistent with the expected PV change above a cooling maximum (from longwave emission) (Fig. <xref ref-type="fig" rid="F9"/>c). Additionally, PV modification by turbulent processes is of similar amplitude but much more localized (Fig. <xref ref-type="fig" rid="F9"/>d, f). Therefore, the overall impact of turbulence on the PV of the considered trajectories is smaller than that of the radiative processes. The (partly) compensating negative PV tendency from turbulent mixing at <inline-formula><mml:math id="M95" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M96" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M97" display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M98" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>8 to <inline-formula><mml:math id="M99" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>4 h and positive PV tendency from turbulent mixing at <inline-formula><mml:math id="M100" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M101" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M102" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2 h contribute additionally to a reduction in the total impact of turbulence on the PV structure. In general, contributions from turbulent stratification changes are larger than but of similar sign to those from turbulent momentum transport. However, the momentum transport terms are still substantial and are an important, albeit often not quantified, contribution to the PV budget. PV modification from cloud microphysical processes, i.e., latent heating and cooling, in the ExTL is generally small and decreases PV (Fig. <xref ref-type="fig" rid="F9"/>e). This is consistent with the PV modification expected above a latent heating maximum associated with the cirrus formation and ice crystal growth. The largest contributions are found around <inline-formula><mml:math id="M103" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M104" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M105" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>6 h at the lower edge of the ExTL and appear to contribute to the narrowing of the ExTL by increasing PV on the tropospheric side. Note that this time period is also associated with the strongest radiative PV modification and is well aligned with the largest ice water content along the trajectories (Fig. <xref ref-type="fig" rid="F7"/>c, f, i).</p>
      <p id="d2e1885">Overall, the ICON model simulations suggest that the observed cirrus cloud formed by slantwise lifting and gravity wave activity (see Fig. <xref ref-type="fig" rid="F7"/>) in an already moist ExTL air mass originating over southern Germany (<inline-formula><mml:math id="M106" display="inline"><mml:mo lspace="0mm">≈</mml:mo></mml:math></inline-formula> 12 h before arrival in the measurement area). The model provides no indication of moisture transport into the ExTL from the troposphere or evidence for substantial STE. However, the model suggests that the extensive cirrus deck results in an enhanced PV gradient and therefore a narrowing of the ExTL in terms of its geometric depths. This results from cloud microphysical PV destruction at the bottom of the ExTL as well as radiative and turbulent PV production at the top of the ExTL. Note that the modeled PV structure is consistent with the observed vertical potential temperature gradients by the Learjet/TOSS, i.e., near zero <inline-formula><mml:math id="M107" display="inline"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>∂</mml:mo><mml:mi mathvariant="italic">θ</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>z</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:math></inline-formula> in the cirrus deck and much larger <inline-formula><mml:math id="M108" display="inline"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>∂</mml:mo><mml:mi mathvariant="italic">θ</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>z</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:math></inline-formula> across the cloud top. Further, note that the observations suggest a much sharper cloud top than can be represented on the model vertical grid. This likely makes the discussed processes even more efficient in the real atmosphere.</p>
</sec>
</sec>
<sec id="Ch1.S5">
  <label>5</label><title>Observational evidence for moisture structure in the source region and modeled Lagrangian evolution of the UTLS structure</title>
      <p id="d2e1941">The Lagrangian analysis of the ICON simulation provides insight into the history of the observed cirrus and its role in shaping the observed UTLS temperature and moisture structure. To corroborate these model hypotheses we here use MSG satellite data and radiosonde data from Switzerland and southern Germany, which provide observational evidence for the cloud evolution and UTLS humidity structure in the area of interest. Secondly, to further corroborate the impact of the cirrus on the UTLS thermodynamic structure from a model perspective, we discuss our second ICON simulation (initialized 12 h earlier than that discussed in Sect. <xref ref-type="sec" rid="Ch1.S4"/>) that fails to reproduce the ExTL thermodynamic structure and cirrus observed by the Learjet/TOSS measurements over the North Sea (Sect. <xref ref-type="sec" rid="Ch1.S3.SS3"/> and Appendix A).</p>
      <p id="d2e1948">Satellite data from MSG provide some information on the spatiotemporal evolution of upper-tropospheric humidity (proxy: channel at 6.2 <inline-formula><mml:math id="M109" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>), cloud extent and cloud top heights (proxy: channel at 10.8 <inline-formula><mml:math id="M110" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>), and the presence of thin cirrus clouds (proxy: difference between channels at 10.8 and 8.7 <inline-formula><mml:math id="M111" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>). In the latter, optically thin cirrus clouds are shown in whitish colors. MSG images for all these channel (combinations) are shown for 01:00, 07:00, and 13:00:00 UTC on 7 May 2013 in Fig. <xref ref-type="fig" rid="F10"/>. In addition, the position of trajectories arriving between 10.5 and 11.0 km altitude in the North Sea observation area is shown: orange contours indicate the position of trajectories calculated based on the simulation started at 00:00 UTC on 7 May 2013. In the early morning of 7 May 2013, trajectories are located along the western edge of a moist area extending from northern Italy to the English Channel (Fig. <xref ref-type="fig" rid="F10"/>a). To the west the moist region borders on a relatively dry filament. There is some indication of convection over the Netherlands (Fig. <xref ref-type="fig" rid="F10"/>b) and more tenuous cirrus further east (Fig. <xref ref-type="fig" rid="F10"/>c), which is included in the northernmost part of the trajectory source region. In the following hours the moist air mass propagates further north, and consistently the trajectories propagate on the moist side of the relatively strong gradient in upper-tropospheric humidity located over western Germany (Fig. <xref ref-type="fig" rid="F10"/>d, g). In this air mass the tenuous cirrus clouds present in the early morning persist and continue to coincide with the northern half of the trajectory bundle (Fig. <xref ref-type="fig" rid="F10"/>f, i). Increasingly the cirrus clouds cover the entire area in which trajectories are found. From about 10:00 UTC onward optically thick clouds appear in the area covered by the trajectories, likely at slightly lower altitudes (hourly MSG images: Fig. <xref ref-type="fig" rid="FA2"/>). Furthermore, the time at which the thicker cirrus appears roughly agrees with larger ice water content at altitudes below 10 km in the ICON cross-sections along the trajectory (Fig. <xref ref-type="fig" rid="F9"/>) and enhanced radiative cooling at the upper edge of the cirrus cloud. Albeit there is some indication of deep convection over eastern Germany and the Czech Republic, the optically thick cloud over western Germany is not influenced by this directly, and the optically thick cirrus rather seems to form in situ – again consistent with the ICON-based Lagrangian analysis. Hence, the available satellite data confirm the model simulation in the sense that (i) the observed cirrus formed many hours before it being sampled over the North Sea, (ii) the air mass in which it formed was already very humid about 15 h prior to the observation, and (iii) the presence of an optically thick cirrus from about 6–8 h prior to the observation likely resulted in strong cloud top cooling.</p>

      <fig id="F10" specific-use="star"><label>Figure 10</label><caption><p id="d2e2000">Meteosat Second Generation (MSG) satellite images at 6.2 <inline-formula><mml:math id="M112" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> <bold>(a, d, g)</bold> and 10.8 <inline-formula><mml:math id="M113" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> <bold>(b, e, h)</bold>, as well as the difference signal between the 10.8 and 8.7 <inline-formula><mml:math id="M114" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> channel <bold>(c, f, i)</bold>. The rows from top to bottom correspond to observations times of about 01:00, 07:00, and 13:00 UTC on 7 May 2013. The contours indicate the position of back trajectories from the measurement area based on the simulation initialized at 00:00 UTC on 7 May 2013 (purple) and 12:00 UTC on 6 May 2013 (green), respectively.</p></caption>
        <graphic xlink:href="https://acp.copernicus.org/articles/25/13077/2025/acp-25-13077-2025-f10.jpg"/>

      </fig>

      <p id="d2e2050">The model analysis suggests that a key aspect for the formation of the observed ExTL cirrus is relatively high moisture content in the UTLS over southern Germany in the early hours of 7 May 2013. Satellite analysis generally supports this idea, but for more quantitative insight we include radiosonde data from Payerne, Stuttgart, and Oberschleißheim, i.e., three operational stations in southern Germany and Switzerland (for location see Fig. <xref ref-type="fig" rid="F11"/>a). The temperature and humidity structure of the UTLS as observed by the operational radiosondes released at 00:00 UTC on 7 May 2013 is shown in Figs. <xref ref-type="fig" rid="F11"/>b and <xref ref-type="fig" rid="FA4"/>. The sounding data confirm a large horizontal gradient in specific humidity below and around the tropopause from west (Payerne) to east (Oberschleißheim). The Stuttgart sounding is closest to the diagnosed origin of the air mass later observed in the North Sea measurement area. The modeled specific humidity profile agrees well with the observed specific humidity data from the Stuttgart sounding, in particular with respect to the enhanced specific humidity values between 318 and 320 K. The moist layer is not as sharply capped at its upper boundary in the model as in the observations, which likely is due to coarser vertical grid resolution (also in the analysis data used for initializing the model simulation). The Oberschleißheim sounding suggests very humid conditions up to about 328 K, but the lapse-rate tropopause is also substantially higher at this more eastern location. The Payerne sounding shows less humid conditions in the upper troposphere, although there is some indication of a local increase in humidity above 330 K. It is unlikely that this structure influenced the observed ExTL cirrus due to it being at a much higher isentrope. It may arise due to the northeast advection of the radiosonde during its ascent and a weak moist filament ahead of the main gradient over central Switzerland visible in the MSG data. However, in general the vertical profile information confirms the modeled UTLS humidity and temperature structure in the air mass origin region, in particular a large east–west gradient in UTLS humidity and relatively moist conditions around the tropopause in the air mass origin region.</p>

      <fig id="F11" specific-use="star"><label>Figure 11</label><caption><p id="d2e2061"><bold>(a)</bold> Location of air parcels at 00:00 UTC on 7 May 2013. Only parcels arriving in the measurement area at altitudes between 10.5 and 11.0 km are considered between 14:00 and 16:00 UTC on 7 May 2013. The gray shading indicates the location of air parcels propagated using the ICON wind fields from the simulation initialized at 12:00 UTC on 6 May 2013 and the orange contours those using the ICON wind fields from the simulation initialized at 00:00 UTC on 7 May 2013. The blue triangles indicate the location of nearby radiosonde release locations. <bold>(b)</bold> Specific humidity as a function of potential temperature at 00:00 UTC on 7 May 2013 from three radio sounding sides (blue) and the ICON model simulations sampled over the origin region of the trajectories (shown in the left panel). Black and green colors correspond to ICON initialization dates of 12:00 UTC on 6 May 2013 and 00:00 UTC on 7 May 2013, respectively. Note that both simulations have been sampled in the trajectory origin region form the simulation initialized at 00:00 UTC on 7 May 2013. The figure with profiles sampled over the respective origin regions from each simulation is shown in  Fig. <xref ref-type="fig" rid="FA3"/>. The solid line shows the median profile, and the shading indicates the 5th to 95th percentile range.</p></caption>
        <graphic xlink:href="https://acp.copernicus.org/articles/25/13077/2025/acp-25-13077-2025-f11.png"/>

      </fig>

      <p id="d2e2077">Finally, we compare the two ICON simulations initialized at 12:00 UTC on 6 May 2013 and 00:00 UTC on 7 May 2013. As discussed in Sect. <xref ref-type="sec" rid="Ch1.S3.SS3"/>, the former fails to reproduce the observed ExTL cirrus and has a much higher tropopause in the measurement region than observed, analyzed in ERA5, and modeled by the other ICON simulation. Trajectories arriving in the North Sea measurement area have a broadly similar path in the preceding 14–16 h both in terms of horizontal and vertical propagation: both sets of trajectories originate over southern Germany and experience a slow lifting while traveling north (compare Figs. <xref ref-type="fig" rid="F7"/> and <xref ref-type="fig" rid="FA5"/>). However, the cirrus cloud forms much later, with lower ice water content and much smaller horizontal and vertical extent in the simulation initiated at 12:00 UTC on 6 May 2013. This is consistent with a slight westward shift in the air mass origin into the region of dry upper-tropospheric air (as seen, e.g., in the satellite data, Fig. <xref ref-type="fig" rid="F10"/>a). However, even if one assumes the same origin region in both data sets, the ICON simulation with the earlier start date has lower specific humidity values between 318 and 320 K compared to the second ICON simulation and also compared to the Stuttgart radio sounding (Fig. <xref ref-type="fig" rid="F11"/>b). As the ExTL cirrus forms in this altitude range, the delayed formation of more tenuous cirrus cloud is not surprising. Interestingly the evolution of the ExTL and diabatic PV tendencies differs strongly between the two simulations (compare Figs. <xref ref-type="fig" rid="F9"/> and <xref ref-type="fig" rid="FA6"/>): in both simulations the ExTL (2–6 pvu) is about 1 km deep about 15 h before the air mass arrives in the measurement area. While it becomes substantially less deep in the ICON simulation initialized at 00:00 UTC on 7 May 2013, the geometric ExTL depth decreases only slightly in the ICON simulation initialized at 12:00 UTC on 6 May 2013. The decomposition of the diabatic PV tendencies into contributions from different physical processes suggests that the main difference is a less vertically focused radiative PV production (at <inline-formula><mml:math id="M115" display="inline"><mml:mi>z</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M116" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M117" display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> 10.0 to 10.5 km and <inline-formula><mml:math id="M118" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M119" display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M120" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>10 to <inline-formula><mml:math id="M121" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>4 h) and simultaneously stronger turbulent PV destruction (at <inline-formula><mml:math id="M122" display="inline"><mml:mi>z</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M123" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M124" display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> 10.5 to 11.0 km and <inline-formula><mml:math id="M125" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M126" display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M127" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>10 to <inline-formula><mml:math id="M128" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>4 h). These changes are consistent with the absence of an ExTL cirrus. Note that the optically thick cirrus layer in the upper troposphere is present in both simulations, although the trajectories destined for the North Sea measurement region only move above this cirrus deck at later times (at <inline-formula><mml:math id="M129" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M130" display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M131" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>10 h compared to <inline-formula><mml:math id="M132" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M133" display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M134" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>12 h) and over a shorter time period (until about <inline-formula><mml:math id="M135" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M136" display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M137" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>7 h compared to <inline-formula><mml:math id="M138" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M139" display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M140" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>4 h) (Figs. <xref ref-type="fig" rid="F9"/>b and <xref ref-type="fig" rid="FA6"/>a). In Fig. <xref ref-type="fig" rid="F12"/> we compare the trajectory path for those air masses arriving between 10.5 and 11.0 km in the North Sea area, as well as the PV and wind difference field at 10.5 km between the two simulations. Interestingly, from about 07:00 UTC (<inline-formula><mml:math id="M141" display="inline"><mml:mo lspace="0mm">≈</mml:mo></mml:math></inline-formula> 7–9 h before arrival in the measurement area) a negative PV anomaly (i.e., difference) develops (in the area around 52° N, 7° E, at 07:00 UTC, propagating to <inline-formula><mml:math id="M142" display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> 53.5° N, 7° E, at 13:00 UTC), which goes along with a stronger eastwards wind component (anticyclonic rotation) in the simulation initialized at 12:00 UTC on 6 May 2013. While the two trajectory bundles propagate almost parallel to each other in the early part of the simulation, they converge into the North Sea measurement area in the final hours, consistent with the wind field difference (explaining the more westerly source area). Given the overall better agreement of the ICON simulation initialized at 00:00 UTC on 7 May 2013 with the Learjet/TOSS observations, MSG satellite data, and radiosonde profiles over southern Germany, one may speculate whether the difference between the simulations provides evidence for the (local) importance of radiative PV modification for the flow within the ExTL and the (thermo)dynamical vertical structure of the ExTL.</p>

      <fig id="F12" specific-use="star"><label>Figure 12</label><caption><p id="d2e2304">Difference in PV at 10.5 km altitude between the ICON simulations initialized at 12:00 UTC on 6 May 2013 and 00:00 UTC on 7 May 2013. The three panels correspond to valid times <bold>(a)</bold> 01:00 UTC, <bold>(b)</bold> 07:00 UTC, and <bold>(c)</bold> 13:00 UTC on 7 May 2013, respectively. The arrows indicate the difference wind field at the same altitude. The contours show the position of back trajectories from the measurement area calculated with the wind field data from 00:00 UTC on 7 May 2013 (gray) and 12:00 UTC on 6 May 2013 (blue), respectively.</p></caption>
        <graphic xlink:href="https://acp.copernicus.org/articles/25/13077/2025/acp-25-13077-2025-f12.png"/>

      </fig>

</sec>
<sec id="Ch1.S6" sec-type="conclusions">
  <label>6</label><title>Summary and conclusions</title>
      <p id="d2e2330">The extratropical UTLS is a transition region (ExTL) between the troposphere and the stratosphere, which are characterized by very different chemical composition as well as very different thermodynamic and dynamic properties. The ExTL structure, its spatiotemporal variability, and long-term changes therein are important for our understanding of exchange processes between the troposphere and stratosphere (STE) as well as the climate state in general. Due to large potential temperature and potential vorticity gradients, exchange between the stratosphere and the troposphere at the extratropical tropopause has to be facilitated by diabatic processes. Cirrus clouds frequently occur in the tropopause region and have even been reported to exist in the lowermost stratosphere. Due to the associated latent heating, modified radiative transfer, and turbulence characteristics, cirrus clouds may be one key component shaping the ExTL structure and STE. In this study, we combine observational data from various platforms with high-resolution model simulations and Lagrangian diagnostics to gain insight into the formation of a cirrus cloud observed over the North Sea in chemically and dynamically stratospheric air <xref ref-type="bibr" rid="bib1.bibx38" id="paren.55"/> and its impact on the ExTL structure. This specific case of an ExTL cirrus was observed by aircraft-based in situ measurements  during the AIRTOSS-ICE campaign in May 2013 and was described previously in <xref ref-type="bibr" rid="bib1.bibx38" id="text.56"/>.</p>
      <p id="d2e2339">The AIRTOSS-ICE measurements allow for a unique characterization of the thermodynamic structure of an ExTL cirrus due to the cloud being probed in situ with a dual-platform approach. The observations on a second platform below the aircraft allow us to derive the vertical gradient of potential temperature from measurements as well as its change at the tropopause and in the region of ExTL cirrus. Based on these observations we found a significant difference of gradients in potential temperature inside and outside the cirrus (Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/>). Inside the cirrus we found weaker (neutral) stability compared to the surrounding, which indicates an influence of the cirrus on the thermodynamical structure of the sampled air masses in the ExTL. This finding could be reproduced in the model simulations, although the simulated gradient of potential temperature inside the cirrus was slightly higher than in the measurements (Sect. <xref ref-type="sec" rid="Ch1.S3.SS3"/>).</p>
      <p id="d2e2346">High-resolution model simulations (<inline-formula><mml:math id="M143" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>x</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M144" display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> 3.2 km, <inline-formula><mml:math id="M145" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>z</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M146" display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> 150–200 m in the ExTL) suggest that the disturbed temperature profile can be explained by radiative cooling towards the cirrus top and weak latent heating within the cirrus. Further, the Lagrangian PV diagnostics show a strong contribution of radiative cooling to the ExTL PV structure in the upper part of the cirrus (Sect. <xref ref-type="sec" rid="Ch1.S4.SS3"/>). This contribution persists throughout the lifetime of the cirrus cloud and overall leads to a significant increase in potential vorticity for trajectories passing close to the cirrus top. Further inside the cirrus layer, however, microphysical (latent) heating causes a (small) decrease in PV consistent with a weakening stratification. Combined with smaller, but still substantial, PV modifications due to turbulent momentum and heat transfer, the radiative PV modification causes a sharpening of the PV gradient in the considered region of the ExTL (Sect. <xref ref-type="sec" rid="Ch1.S4.SS3"/>), diminishing the geometric distance between the 2 and 6 pvu isosurfaces. However, only a small fraction of trajectories transitioned from PV values smaller than to such larger than 2 pvu during the considered time period (<inline-formula><mml:math id="M147" display="inline"><mml:mo lspace="0mm">≈</mml:mo></mml:math></inline-formula> 15 h prior to in situ measurements, Sect. <xref ref-type="sec" rid="Ch1.S4.SS3"/>). There is no indication in the model that the ExTL air mass gained additional moisture during this transit through exchange with the troposphere. Most importantly there is no indication of substantial STE of ice particles during the transit. The model rather indicates already relatively humid ExTL conditions in the origin region over southern Germany. High observed relative humidity in close vicinity to the cirrus in chemically stratospheric air is consistent with the already moist ExTL air mass. Moistening through sublimation of the cirrus particles is therefore not required or even unlikely (Sects. <xref ref-type="sec" rid="Ch1.S3.SS2"/>, <xref ref-type="sec" rid="Ch1.S4.SS2"/>). Satellite measurements and radiosonde data confirm the presence of an already moist air mass in the formation region extending into the ExTL. Consistent with the satellite data, the model suggest a persistent existence of cirrus particles since their formation over southern Germany around 12 h before the observation, albeit with varying ice content. During the transit to the measurement area, the air mass was subject to gravity wave activity over central Germany and was steadily lifted by up to 1000 m (Sects. <xref ref-type="sec" rid="Ch1.S4.SS2"/>, <xref ref-type="sec" rid="Ch1.S5"/>). The formation conditions match the slow updraft type of in situ cirrus.</p>
      <p id="d2e2406">Note that these results slightly differ from the results by <xref ref-type="bibr" rid="bib1.bibx38" id="text.57"/>, where trajectory analysis indicated ice particle formation slightly before the measurements during slow ascent to the measurement region. However, these results were deduced from a coarser analysis data set. Satellite data are consistent with an earlier cirrus formation as seen in our model data, but there remains some uncertainty regarding the representation of ice nucleation via deposition nucleation and homogeneous nucleation in the ICON model. The model may have too active deposition nucleation, which is expected to favor cirrus formation at (slightly) earlier times in the thermodynamic evolution seen along the trajectories in our study. Furthermore, note that the in situ gradient information as measured by the TOSS is new in our study. The decrease in stratification inside the cirrus layer is less pronounced in the model than in the observations. Shallow cirrus convection as proposed by <xref ref-type="bibr" rid="bib1.bibx55" id="text.58"/> could be a plausible process responsible for the stronger redistribution of potential temperature since the vertical model resolution does not allow for the explicit representation of convection at these small scales. Neither does the vertical model resolution allow for the representation of the strong vertical temperature gradient at the cloud top as evident in the observation due to only two to three model levels in the relevant area.</p>
      <p id="d2e2416">Regarding the diabatic impact of the cirrus layer on the tropopause structure, we found a strong contribution from radiation on the PV change for our case – even higher than the impact from turbulence. These results differ from <xref ref-type="bibr" rid="bib1.bibx56" id="text.59"/>, who found a stronger contribution by turbulence. In our case, trajectories indicate very high values of humidity in the lower stratosphere 12 h prior to the measurements, with high values of relative humidity with respect to ice also outside the cirrus layer. It is noteworthy that the cirrus particles persisted during the transit in (over)saturated air, while only a few of the corresponding trajectories changed from tropospheric to stratospheric PV values. The model does not indicate cirrus particles in the ExTL at the start of the simulation, which implies the in situ formation of the ice particles in the ExTL during the transit time. The conditions permitting cirrus formation (i.e., sufficient humidity) were present in this particular region of the ExTL. The source process that transported the high amounts of humidity into the lower stratospheric layer where the cirrus particles were measured could not conclusively be identified. A model simulation with an earlier start date failed to reproduce the ExTL cirrus cloud and therefore did not allow us to trace the air mass history over a larger time horizon. In the shorter simulation, the origin of the comparatively high amounts of water vapor could be traced back to an already humid air mass around the transition layer prior to the measurements. Processes that can contribute to enhanced near-tropopause humidity in the extratropics have been suggested to include WCB outflow and convective activity. ERA5-based WCB diagnostics suggest some influence of (aged) WCB outflow in the source region, while satellite data show convective activity over eastern Germany in the 36 h preceding the observations. Hence, both meteorological features could have influenced the ExTL humidity in the source area over southern Germany; however, our analysis provides no definite proof of the influence and importance of either feature. This study might point towards a relevant process for cross-tropopause exchange and diabatic PV modification, which has been underestimated so far due to the limited capability of models and analysis data to resolve the underlying processes.</p>
</sec>

      
      </body>
    <back><app-group>

<app id="App1.Ch1.S1">
  <label>Appendix A</label><title/>

      <fig id="FA1"><label>Figure A1</label><caption><p id="d2e2435">Height profiles of the average <bold>(a)</bold> potential temperature, <bold>(b)</bold> potential vorticity, <bold>(c)</bold> total water mass mixing ratio, and <bold>(d)</bold> ice mass mixing ratio from the ICON simulation. The different line colors represent profiles sampled at different times between 14:10 and 16:10 UTC on 7 May 2013. Averages are taken over all grid points within 6.5–7.5 and 54.3–55.1° E; spatial variability as represented by the maximum and minimum value at a particular altitude is shown in the bars. The average altitude of the Learjet leg discussed in Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/> is indicated by the dark-blue horizontal line and that of the TOSS by the green horizontal line. The simulation starting at 12:00 UTC on 6 May 2013 is shown.</p></caption>
        
        <graphic xlink:href="https://acp.copernicus.org/articles/25/13077/2025/acp-25-13077-2025-f13.png"/>

      </fig>

<fig id="FA2"><label>Figure A2</label><caption><p id="d2e2463">Meteosat Second Generation (MSG) satellite images at 10.8 <inline-formula><mml:math id="M148" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>. The observation time increases from top left to bottom right from 00:00 to 13:00 UTC on 7 May 2013. The contours indicate the position of back trajectories from the measurement area based on the simulation initialized at 00:00 UTC on 7 May 2013 (purple) and 12:00 UTC on 6 May 2013 (green), respectively.</p></caption>
        
        <graphic xlink:href="https://acp.copernicus.org/articles/25/13077/2025/acp-25-13077-2025-f14.jpg"/>

      </fig>

<fig id="FA3"><label>Figure A3</label><caption><p id="d2e2488">Specific humidity profile as a function of potential temperature at 00:00 UTC on 7 May 2013 from three radio sounding sides (red) and the ICON model simulations sampled over the origin region of the trajectories (shown in the left panel). Black and green colors correspond to ICON initialization dates of 12:00 UTC on 6 May 2013 and 00:00 UTC on 7 May 2013, respectively. In contrast to Fig. <xref ref-type="fig" rid="F11"/> the simulations have been sampled in their respective trajectory source areas. The solid line shows the median profile, and the shading indicates the 5th to 95th percentile range.</p></caption>
        
        <graphic xlink:href="https://acp.copernicus.org/articles/25/13077/2025/acp-25-13077-2025-f15.png"/>

      </fig>

      <fig id="FA4"><label>Figure A4</label><caption><p id="d2e2503"><bold>(a)</bold> Temperature, <bold>(b)</bold> potential temperature, and <bold>(c)</bold> specific humidity as a function of pressure from three radio  sounding sides (red) and the ICON model simulations sampled over the origin region of the trajectories (shown in Fig. <xref ref-type="fig" rid="F11"/>). Black and green colors correspond to ICON initialization dates of 12:00 UTC on 6 May 2013 and 00:00 UTC on 7 May 2013, respectively. In contrast to Fig. <xref ref-type="fig" rid="F11"/> the simulations have been sampled in their respective trajectory source areas. The solid line shows the median profile, and the shading indicates the 5th to 95th percentile range.</p></caption>
        
        <graphic xlink:href="https://acp.copernicus.org/articles/25/13077/2025/acp-25-13077-2025-f16.png"/>

      </fig>

<fig id="FA5" specific-use="star"><label>Figure A5</label><caption><p id="d2e2529">Path of trajectories arriving in the measurement area between 13:40:00 and 16:00:00 UTC with <bold>(a, b, c)</bold> tropospheric marker, <bold>(d, e, f)</bold> stratospheric marker, and <bold>(g, h, i)</bold> PV <inline-formula><mml:math id="M149" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 2 pvu and <inline-formula><mml:math id="M150" display="inline"><mml:mrow><mml:msub><mml:mi>q</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M151" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 10<sup>−3</sup> mg kg<sup>−1</sup>. Simulation starts at 12:00 UTC on 6 May 2013.</p></caption>
        <graphic xlink:href="https://acp.copernicus.org/articles/25/13077/2025/acp-25-13077-2025-f17.png"/>

      </fig>

<fig id="FA6"><label>Figure A6</label><caption><p id="d2e2601">Composite profile along air parcels arriving in the measurement area with PV <inline-formula><mml:math id="M154" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 2 pvu and <inline-formula><mml:math id="M155" display="inline"><mml:mrow><mml:msub><mml:mi>q</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M156" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 10<sup>−3</sup> mg kg<sup>−1</sup> from the simulation started at 12:00 UTC on 6 May 2013: variables shown are <bold>(a)</bold> PV, <bold>(b)</bold> PV tendency from radiation parameterization, <bold>(c)</bold> PV tendency from latent heating by turbulence parameterization, <bold>(d)</bold> PV tendency from microphysics parameterization, and <bold>(e)</bold> PV tendency from momentum transport by turbulence parameterization. The columns have been retrieved from 10 min Eulerian output at the native ICON grid and have been interpolated to the horizontal location of the air parcels.</p></caption>
        
        <graphic xlink:href="https://acp.copernicus.org/articles/25/13077/2025/acp-25-13077-2025-f18.png"/>

      </fig>

</app>
  </app-group><notes notes-type="codedataavailability"><title>Code and data availability</title>

      <p id="d2e2681">The observational data from Learjet and TOSS as well as derived time series are published on Zenodo <uri>https://doi.org/10.5281/zenodo.14235063</uri>, <xref ref-type="bibr" rid="bib1.bibx10" id="text.60"/>. The main model data used in this paper as well as all programs used for postprocessing and visualizing model data are also published on Zenodo <uri>https://doi.org/10.5281/zenodo.15396795</uri>, <xref ref-type="bibr" rid="bib1.bibx36" id="text.61"/>. The ICON model code is not published, as the model version used here predates the open-source release of ICON. The radiosonde data from the German stations Oberschleißheim, Stuttgart, and Norderney were obtained from <uri>https://opendata.dwd.de/climate_environment/CDC/observations_germany/radiosondes/high_resolution/historical/</uri>, last access: 12 September 2025. The high-resolution radio sounding data from Payerne were kindly provided by Philipp Bättig from MeteoSwiss. MSG satellite data were accessed through EUMETSAT. IFS analysis data for model initialization were obtained from ECMWF.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d2e2701">The supplement related to this article is available online at <inline-supplementary-material xlink:href="https://doi.org/10.5194/acp-25-13077-2025-supplement" xlink:title="zip">https://doi.org/10.5194/acp-25-13077-2025-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d2e2710">NE analyzed the observational data. AM conducted and analyzed the ICON simulations. All authors contributed to the design and writing of the manuscript.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d2e2716">At least one of the (co-)authors is a member of the editorial board of <italic>Atmospheric Chemistry and Physics</italic>. The peer-review process was guided by an independent editor, and the authors also have no other competing interests to declare.</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <p id="d2e2726">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. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors.</p>
  </notes><notes notes-type="sistatement"><title>Special issue statement</title>

      <p id="d2e2732">This article is part of the special issue “The tropopause region in a changing atmosphere (TPChange) (ACP/AMT/GMD/WCD inter-journal SI)”. It is not associated with a conference.</p>
  </notes><ack><title>Acknowledgements</title><p id="d2e2738">Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), TRR 301, project ID 428312742, projects B01, B08, and Z01. The authors gratefully acknowledge the computing time granted on the supercomputer MOGON 2 at Johannes Gutenberg University Mainz (<uri>https://hpc.uni-mainz.de/</uri>, last access: 12 September 2025), which is a member of the AHRP (Alliance for High Performance Computing in Rhineland Palatinate, <uri>https://www.ahrp.info/</uri>, last access: 12 September 2025) and the Gauss Alliance e.V. Figures 10 and A2 contain modified EUMETSAT Meteosat Second Generation HRSEVIRI data. The native HRSEVIRI data have been download via EUMDAC in February 2024. Philipp Bättig from MeteoSwiss kindly provided the high-resolution sounding data from Payerne. Hans-Christoph Lachnitt provided the interpolated ERA5 PV data at the Learjet position.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d2e2749">This research has been supported by the Deutsche Forschungsgemeinschaft (grant no. 428312742).This open-access publication was funded  by Johannes Gutenberg University Mainz.</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d2e2760">This paper was edited by Aurélien Podglajen and reviewed by two anonymous referees.</p>
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