<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing with OASIS Tables v3.0 20080202//EN" "journalpub-oasis3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" xml:lang="en" dtd-version="3.0">
  <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-19-11803-2019</article-id><title-group><article-title>Convective hydration in the tropical tropopause layer during the StratoClim
aircraft campaign: pathway of an observed<?xmltex \hack{\break}?> hydration patch</article-title><alt-title>Pathway of an observed hydration patch</alt-title>
      </title-group><?xmltex \runningtitle{Pathway of an observed hydration patch}?><?xmltex \runningauthor{K.-O. Lee et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Lee</surname><given-names>Keun-Ok</given-names></name>
          <email>keun-ok.lee@aero.obs-mip.fr</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Dauhut</surname><given-names>Thibaut</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-5468-3818</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Chaboureau</surname><given-names>Jean-Pierre</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-4365-8940</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Khaykin</surname><given-names>Sergey</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3 aff4">
          <name><surname>Krämer</surname><given-names>Martina</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-2888-1722</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Rolf</surname><given-names>Christian</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-5329-0054</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Laboratoire d'Aérologie, Université de Toulouse, CNRS, UPS,
Toulouse, France</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>LATMOS/IPSL, UVSQ, Sorbonne
Université, CNRS, Guyancourt, France</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Institute for Energy and Climate Research – Stratosphere (IEK-7),
Forschungzentrum Jülich, Jülich, Germany</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Institute für Atmospheric Physics, Johannes Gutenberg-Universität Mainz, Mainz, Germany</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Keun-Ok Lee (keun-ok.lee@aero.obs-mip.fr)</corresp></author-notes><pub-date><day>24</day><month>September</month><year>2019</year></pub-date>
      
      <volume>19</volume>
      <issue>18</issue>
      <fpage>11803</fpage><lpage>11820</lpage>
      <history>
        <date date-type="received"><day>19</day><month>October</month><year>2018</year></date>
           <date date-type="rev-request"><day>20</day><month>November</month><year>2018</year></date>
           <date date-type="rev-recd"><day>8</day><month>August</month><year>2019</year></date>
           <date date-type="accepted"><day>14</day><month>August</month><year>2019</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2019 Keun-Ok Lee et al.</copyright-statement>
        <copyright-year>2019</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/19/11803/2019/acp-19-11803-2019.html">This article is available from https://acp.copernicus.org/articles/19/11803/2019/acp-19-11803-2019.html</self-uri><self-uri xlink:href="https://acp.copernicus.org/articles/19/11803/2019/acp-19-11803-2019.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/19/11803/2019/acp-19-11803-2019.pdf</self-uri>
      <abstract><title>Abstract</title>
    <p id="d1e148">The source and pathway of the hydration patch in the TTL (tropical
tropopause layer) that was measured during the Stratospheric and upper tropospheric
processes for better climate predictions (StratoClim) field campaign
during the Asian summer monsoon in 2017 and its connection to convective
overshoots are investigated. During flight no. 7, two remarkable layers are
measured in the TTL, namely (1) the moist layer (ML) with a water vapour content
of 4.8–5.7 ppmv in altitudes of 18–19 km in the lower
stratosphere and (2) the ice layer (IL) with ice content up to 1.9 eq. ppmv (equivalent parts per million by volume) in
altitudes of 17–18 km in the upper troposphere at around 06:30 UTC on 8 August to the south of Kathmandu (Nepal). A Meso-NH convection-permitting
simulation succeeds in reproducing the characteristics of the ML and IL. Through
analysis, we show that the ML and IL are generated by convective overshoots that
occurred over the Sichuan Basin about 1.5 d before. Overshooting clouds
develop at altitudes up to 19 km, hydrating the lower stratosphere of up to 20 km with
6401 t of water vapour by a strong-to-moderate mixing of the updraughts with
the stratospheric air. A few hours after the initial overshooting phase, a
hydration patch is generated, and a large amount of water vapour (above 18 ppmv) remains at even higher altitudes up to 20.5 km while the anvil cloud
top descends to 18.5 km. At the same time, a great part of the hydrometeors
falls shortly, and the water vapour concentration in the ML and IL decreases due
to turbulent diffusion by mixing with the tropospheric air, ice nucleation,
and water vapour deposition. As the hydration patch continues to travel
toward the south of Kathmandu, tropospheric tracer concentration increases
up to <inline-formula><mml:math id="M1" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">30</mml:mn></mml:mrow></mml:math></inline-formula> % and 70 % in the ML and IL, respectively. The air
mass in the layers becomes gradually diffused, and it has less and less water
vapour and ice content by mixing with the dry tropospheric air.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e170">The Asian summer monsoon anticyclone is one of the most pronounced
circulation patterns in the Northern Hemisphere, and it is a dominant
climatological feature of the global circulation during boreal summer (Mason
and Anderson, 1963; Randel and Park, 2006). The monsoon circulation
horizontally covers large parts of southern Asia and the Middle East and is
located on the edge of the tropics and subtropics. It consists of cyclonic
flow and convergence in the lower troposphere together with strong
anticyclonic circulation and divergence in the upper troposphere. This
circulation is coupled with persistent deep convection over the southern Asia
region during summer (June to September; Hoskins and Rodwell, 1995). The
monsoon tropopause is relatively high at about 4.2 ppmv; the upper
tropospheric anticyclonic circulation extends into the lower stratosphere,
spanning from around 300 and 70 hPa, i.e. approximately the whole<?pagebreak page11804?> upper
troposphere and lower stratosphere (UTLS; Highwood and Hoskins, 1998;
Randel and Park, 2006).</p>
      <p id="d1e173">Due to the strong dynamical signature in the UTLS, the influence of the
monsoon is evident in chemical constituents; i.e. water vapour is relatively
high, at about 4.2 ppmv (Wright et al., 2011); ozone is relatively low
(Randel et al., 2001); and methane, nitrogen oxides, and carbon monoxide are
relatively high (Park et al., 2004; Liu and Zipser, 2005). Especially, the water
vapour in the UTLS is controlled by the troposphere-to-stratosphere
transport of moisture across the tropical tropopause layer (TTL), located
between <inline-formula><mml:math id="M2" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">150</mml:mn></mml:mrow></mml:math></inline-formula> hPa (355 K, 14 km) and <inline-formula><mml:math id="M3" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">70</mml:mn></mml:mrow></mml:math></inline-formula> hPa
(425 K, 18.5 km; Fueglistaler et al., 2009; Rolf et al., 2018). It is
mainly driven by the large-scale cold-point tropopause temperature field
but also processes involving convection, gravity waves, and cirrus cloud
microphysics that modulate TTL humidity.</p>
      <p id="d1e196">Convective overshoots that penetrate the tropopause directly inject air and
water into the stratosphere. Fundamentally, convection arises from the
temperature difference between a parcel of warm air and the cooler air
surrounding it. Warm air, which is less dense, i.e. more buoyant, rises
through the atmospheric column and adiabatically expands and cools. When the
temperature of the rising air parcel has cooled sufficiently, the water
vapour it contains will begin to condense and release latent heat. If air
parcels within the convective core have enough upward momentum, they
continue to rise beyond their equilibrium level of zero buoyancy and form
overshoots. They eventually form an overshoot that penetrates into the
lowermost stratosphere by crossing the cold-point tropopause. The convective
overshoots have the potential to increase the humidity in the stratosphere
via rapid sublimation of convectively lofted ice and mixing with dry
stratospheric air. This has been demonstrated in previous studies in both
modelling and measurement (Dessler and Sherwood, 2004; Chaboureau et al.,
2007; Jensen et al., 2007; Homeyer et al., 2014, 2017; Khaykin et al., 2016;
Rysman et al., 2016;  Smith et al., 2017; Dauhut et
al., 2018; Funatsu et al., 2018; among others). Even a small volume of
tropospheric air can carry a significant quantity of water in the condensed
phase. Mixing of tropospheric air with the surrounding stratosphere, which
is typically subsaturated, facilitates the rapid sublimation of lofted ice.
Also, the origin of the injected water to the TTL has been studied by
backward-trajectory analysis at global scale, and it was found that the
convective sources are generally higher over the continental part of the
Asian monsoon region in comparison to other tropical regions, with shorter
transit times (Tzella and Legras, 2011; Tissier and Legras, 2016). However,
the net contribution of convective overshoots to stratospheric water vapour
concentration is not well understood at the mesoscale and is not well
represented in global models because of the small spatial scales (less than
a few kilometres) and short timescales (less than few hours) over which
convection occurs.</p>
      <p id="d1e199">The tropical aircraft campaign of the Stratospheric and upper tropospheric
processes for better climate predictions (StratoClim; <uri>http://www.stratoclim.org/</uri>, last access: 19 September 2019) took place in summer 2017. It aimed to improve our
knowledge of the key processes, i.e. microphysical, chemical, and dynamical
processes, which determine the composition of the UTLS, such as the
formation, loss, and redistribution of chemical constituents (water vapour,
ozone, and aerosol). During the campaign, eight dedicated flights were
successfully operated with the objective of documenting the connection
between the moisture plumes in the UTLS and the convective sources from
south Kathmandu, Nepal, during the summer monsoon season.</p>
      <p id="d1e206">Our study focuses on part of flight no. 7 to the south of Kathmandu,
measuring the stratospheric hydration in the altitudes between 17 and 19 km.
The objective of our work is to investigate the source and pathway of the
localized moisture in the TTL that was measured by aircraft in connection to
a convective overshoot. This is done using a combination of airborne and
spaceborne observations as well as a convection-permitting simulation
performed with a fine resolution in the TTL.</p>
      <p id="d1e209">A detailed description of the dataset is given in Sect. 2. Section 3
presents the moistened TTL signature captured by airborne and spaceborne
observations and the numerical simulation. Section 4 demonstrates the
convective origin of the enhanced moisture and shows its evolution along its
path in the lower stratosphere. A summary and discussion of the findings of
the present study are given in Sect. 5.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Data and method</title>
      <p id="d1e220">M55-Geophysica aircraft deployment in Kathmandu during the Asian summer monsoon
in July–August 2017 provided unprecedented sampling of the UTLS region above
the southern slopes of Himalayas. More details concerning the observational
datasets used in this study together with the airborne and spaceborne
measurements and the convection-permitting simulation are provided in the
following.</p>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>StratoClim airborne observations</title>
      <p id="d1e230">During flight no. 7, the M55-Geophysica aircraft flew back and forth between
Kathmandu in Nepal and west Bengal in India (for the track, see the red line
in Fig. 1) from 04:30 to 06:50 UTC on 8 August 2017. The in situ sensor
aboard the aircraft measures the relative humidity with respect to ice
(hereafter called simply “relative humidity” or “RH<inline-formula><mml:math id="M4" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">ice</mml:mi></mml:msub></mml:math></inline-formula>”), temperature,
and wind speed and direction every 1 s. FLASH (Fluorescent Lyman-<inline-formula><mml:math id="M5" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula> Stratospheric Hygrometer for Aircraft) and FISH (Fast In situ Stratospheric Hygrometer) instruments aboard the Geophysica aircraft sampled the vertical water vapour and ice
content distribution every 1 s, respectively.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><?xmltex \currentcnt{1}?><label>Figure 1</label><caption><p id="d1e251">Topography and domain considered in the Meso-NH numerical
simulation with a resolution of 2.5 km. The trajectory of the Geophysica
flight no. 7 to the south of Kathmandu is shown by the red solid line, while
the pathway of moist patch (25–26.5<inline-formula><mml:math id="M6" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) is depicted by the blue
line. A black box “HYD” is a model domain considered in comparison with
aircraft measurement. Another box with dashed line is a model domain used to
calculate the background water vapour at 06:00 UTC on 8 August 2017. The
track of CALIOP at around 20:00 UTC on 7 August 2017 is shown by the black
solid line, while its track between 25 and 33<inline-formula><mml:math id="M7" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N is highlighted in
yellow.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/19/11803/2019/acp-19-11803-2019-f01.png"/>

        </fig>

      <?pagebreak page11805?><p id="d1e278"><?xmltex \hack{\newpage}?>FLASH-A is
an advanced version of the airborne FLASH instrument (Sitnikov et al., 2007;
Khaykin et al., 2013) previously flown aboard the M55-Geophysica aircraft.
FLASH-A has a rear-facing inlet allowing measurement of gas-phase water in
the altitude range between 12 and 21 km, with the latter being the aircraft
ceiling altitude. Total uncertainty of water vapour measurement amounts to 9 %, with a detection limit of 0.2 ppmv, whereas the measurement precision
at 1 Hz sampling is better than 6 %.</p>
      <p id="d1e283">FISH is a closed-path Lyman-<inline-formula><mml:math id="M8" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula> photo fragment fluorescence hygrometer that measures total water (sum of
gas phase and evaporated ice crystals) in the range of 1–1000 ppmv between
50 and 500 hPa levels, with an accuracy and precision of 6 %–8 % and 0.3 ppmv (Zöger et al., 1999; Meyer et al., 2015). The time resolution of
the measurements is 1 Hz. Inside of ice clouds, ice water content (IWC) is
calculated by subtracting the gas-phase water measured by FLASH from the
total water detected by FISH, as described by Afchine et al. (2018). The
minimum detectable IWC is <inline-formula><mml:math id="M9" display="inline"><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> ppmv (<inline-formula><mml:math id="M10" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">3</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> mg m<inline-formula><mml:math id="M11" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>).</p>
</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>Spaceborne observation</title>
      <p id="d1e351">Calibrated thermal infrared brightness temperature (BT) data at 10.8 <inline-formula><mml:math id="M12" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m wavelength, acquired every 15 min by the Spinning Enhanced Visible and
Infrared Imager (SEVIRI) aboard the geostationary Meteosat Second
Generation satellite (MSG), were employed to investigate the evolution of
deep convection. The spatial resolution of the MSG–SEVIRI data used is
0.05<inline-formula><mml:math id="M13" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> in both latitude and longitude. BT minima are generally
indicative of the cloud top overshoots associated with deep convection (e.g.
Kato, 2006; Lee et al., 2016).</p>
      <p id="d1e371">Vertical profiles of backscatter retrieved from the Cloud-Aerosol Lidar with
Orthogonal Polarization (CALIOP) aboard CALIPSO (Winker et al., 2009) with
a wavelength at 532 nm are used. CALIOP provides observations of particles,
including high clouds, with a very high sampling resolution of 30 and 335 m in
the vertical and horizontal directions, respectively.</p>
</sec>
<sec id="Ch1.S2.SS3">
  <label>2.3</label><title>Cloud-resolving numerical simulation</title>
      <p id="d1e382">The target convective overshoots and the moistened TTL were simulated using
the non-hydrostatic numerical research model, Meso-NH (Lac et al., 2018). For
a fine-scale analysis, the simulation uses about 400 million grid points
with horizontal grid spacing of 2.5 km. The vertical grid has 144 stretched
levels (Gal-Chen and Somerville, 1975), with a spacing of 250 m in the free
troposphere and the stratosphere and a finer resolution of 100 m close to
the surface and between 16 and 19.5 km inside the TTL. The simulation domain
covers northern India and China (Fig. 1; 5000 km <inline-formula><mml:math id="M14" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 3600 km),
encompassing the track of flight no. 7 and the overshooting clouds over the
Sichuan Basin. The simulation was initialized at 00:00 UTC on 6 August 2017,
and the initial and lateral boundary conditions are provided by the
operational European Centre for Medium-Range Weather Forecasts (ECMWF)
analyses every 6 h. It ran for 3 d, providing outputs every 1 h.</p>
      <p id="d1e392">The model employs a one-moment bulk microphysical scheme (Pinty and Jabouille,
1998), which governs the equations of six water categories (water vapour,
cloud water, rainwater, pristine ice, snow, and graupel). For each particle
type, the sizes follow a generalized gamma distribution, while power-law
relationships allow the mass and fall speed to be linked to the diameters.
Except for cloud droplets, each condensed water species has a nonzero fall
speed. The turbulence parametrization is based on a 1.5-order closure
(Cuxart et al., 2000) of the turbulent kinetic energy equation and uses the
Bougeault and Lacarrere (1989) mixing length. The transport scheme for
momentum variables is the weighted essentially non-oscillatory (WENO) scheme
of the 5th order (Shu and Osher, 1988), while other variables are
transported with the piecewise parabolic method (PPM) scheme (Colella and
Woodward, 1984), a scheme with excellent mass-conservation properties and
low numerical diffusion (Müller, 1992).</p>
      <p id="d1e395">To assess the simulation, airborne measurement data (along about
25–26.5<inline-formula><mml:math id="M15" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 85.2<inline-formula><mml:math id="M16" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E; blue line in Fig. 1) between
06:20 and 06:48 UTC on 8 August 2017 are compared to the simulation results
averaged in a box (25–26.5<inline-formula><mml:math id="M17" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 85–85.5<inline-formula><mml:math id="M18" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E; marked by
“HYD” in Fig. 1) at 06:00 UTC<?pagebreak page11806?> on the same day. The CALIOP backscatter
coefficients are compared to those simulated from the model outputs using
the Meso-NH lidar simulator, which takes into account all the predicted
scattering particles (Chaboureau et al., 2011). The MSG–SEVIRI BTs are
compared to synthetic BTs computed offline using the radiative transfer model for
the TIROS Operational Vertical Sounder (RTTOV) code version 11.3 (Saunders et
al., 2013) from the simulation outputs (Chaboureau et al., 2008).</p>
      <p id="d1e434">In this study, a “hydration patch” is defined as a region with a water
vapour amount larger than the background value at the 410 K isentropic level.
The background equals 5.2 ppmv, which corresponds to the water vapour
averaged in the box (15–25<inline-formula><mml:math id="M19" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N , 74–84<inline-formula><mml:math id="M20" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E; shown with
dashed line in Fig. 1). Such a hydration patch is located within the moist
layer (ML) of 18–19 km altitude (see Fig. 2), corresponding to an
enhanced value of water vapour observed during the last descent of flight
no. 7 (see Sect. 3.1). Below the hydration patch, the ice layer (IL) is
located between 17 and 18 km, where an increase in ice content is observed
during the same period. The hydration patch is chased visually back in time
every hour from 06:00 UTC on 8 August to 13:00 UTC on 6 August 2017 (for
more details, see Fig. S1 in the Supplement), considering the prevailing
wind direction and speed at the 410 K isentropic altitude. At 14:00 UTC, a large
amount of water vapour (<inline-formula><mml:math id="M21" display="inline"><mml:mrow><mml:mo>≥</mml:mo><mml:mn mathvariant="normal">6.6</mml:mn></mml:mrow></mml:math></inline-formula> ppmv), which is injected by the convective
overshoot in the Sichuan Basin, starts to appear at this altitude,
generating a hydration patch. With the dominant north-easterlies (15–20 m s<inline-formula><mml:math id="M22" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), it travels to the south of Kathmandu. The area of the hydration
patch is about 6000 km<inline-formula><mml:math id="M23" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>, but it is reduced by one-fourth to about
1500 km<inline-formula><mml:math id="M24" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> during the initial overshooting phase in the convective
region. This domain is used to calculate the average values of water vapour,
ice content, temperature, and relative humidity displayed in Figs. 9, 10,
and 11.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><label>Figure 2</label><caption><p id="d1e499">Vertical profiles of <bold>(a)</bold> water vapour (ppmv), <bold>(b)</bold> ice
(eq. ppmv), <bold>(c)</bold> temperature (<inline-formula><mml:math id="M25" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) and potential temperature (K),
<bold>(d)</bold> relative humidity respect to ice (RH<inline-formula><mml:math id="M26" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">ice</mml:mi></mml:msub></mml:math></inline-formula>; %), and <bold>(e)</bold> wind
direction (degree) and speed (m s<inline-formula><mml:math id="M27" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>. In <bold>(a)</bold>–<bold>(e)</bold>, the measured values
along the blue-coloured track between 25 and 26.5<inline-formula><mml:math id="M28" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N (shown in Fig. 1) from 06:20 to 06:48 UTC on 8 August 2017 are shown as solid line, while
the domain-averaged values in the region “HYD” (25–26.5<inline-formula><mml:math id="M29" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N,
85–85.5<inline-formula><mml:math id="M30" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E; shown in Fig. 1) from the Meso-NH simulation at
06:00 UTC on the same day are shown as crosses. In <bold>(a)</bold>–<bold>(e)</bold>, the level
of cold-point tropopause (CPT) is indicated by a red line. In <bold>(a)</bold> and <bold>(b)</bold>, all
the values from Meso-NH within the “HYD” are displayed as grey crosses.
The layers of the ML and IL are marked by arrows.</p></caption>
          <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://acp.copernicus.org/articles/19/11803/2019/acp-19-11803-2019-f02.png"/>

        </fig>

      <p id="d1e603">To understand the processes along the pathway of the hydration patch, four
analysis times are selected: (1) a few hours before the overshoot development
at 13:00 UTC on 6 August, (2) the overshoot development time at 21:00 UTC on
the same day, (3) a few hours after the overshoots at 12:00 UTC on 7 August,
and (4) the aircraft measurement time at 06:00 UTC on 8 August 2017. Several tropopause definitions exist, considering temperature lapse rate,
potential vorticity, and static stability (WMO, 1957; Maddox and Mullendore,
2018). In this study, the overshoots are defined as convective cloud tops
that reach the lowermost stratosphere above the 380 K level. This simple
definition is sufficient enough to study the impact of convective hydration
on the TTL as it quickly returns to its undisturbed state (Dauhut et al.,
2018). A tracer of tropospheric air is also calculated online during the
Meso-NH run. At the simulation initiation, the tropospheric and
stratospheric air masses are divided by a boundary at the 380 K level, and the
tracer values are set to 1 and 0 below and above the level, respectively. In other
words, pure concentration of tropospheric (stratospheric) air has a tracer
value equal to 100 % (0 %).</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Convective hydration in the TTL </title>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Moistened layers in the TTL</title>
      <p id="d1e622">FISH and FLASH instruments aboard flight no. 7 measure moisture and ice
content in the TTL to the south of Kathmandu along the track of
25–26.5<inline-formula><mml:math id="M31" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, <inline-formula><mml:math id="M32" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">85.2</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M33" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E (blue line in Fig. 1), from 06:20 to 06:48 UTC on 8 August 2017. The ML and IL were observed. The ML is
evident at altitudes of 18–19 km by the water vapour content of 4.8–5.7 ppmv (solid line in Fig. 2a), and the IL is apparent at altitudes of 17–18 km
with the ice content of up to 1.9 eq. ppmv (equivalent parts per million by volume; solid line in Fig. 2b) and water
vapour of 3.3–5.0 ppmv (solid line in Fig. 2a). The temperature minimum,
which defines the cold-point tropopause (CPT; red line in Fig. 2c), equals
<inline-formula><mml:math id="M34" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">83.5</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M35" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C at 17.8 km in between the ML and IL (black line in Fig. 2c). In the ML, the potential temperature ranges between 394 and 428 K, while in
the IL it ranges between 372 and 393 K (blue line in Fig. 2c). Figure 2d shows
that RH<inline-formula><mml:math id="M36" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">ice</mml:mi></mml:msub></mml:math></inline-formula> increases beyond 70 % in the ML and IL and that the IL is partly
supersaturated, with an RH<inline-formula><mml:math id="M37" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">ice</mml:mi></mml:msub></mml:math></inline-formula> of up to 118 %. In both the ML and IL, strong
easterly wind prevails (black line in Fig. 2e), with wind speed exceeding 20 m s<inline-formula><mml:math id="M38" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (blue line in Fig. 2e), while easterlies stronger than 30 m s<inline-formula><mml:math id="M39" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> are seen at 17 and 18.5 km altitudes.</p>
      <p id="d1e714">Figure 2 also shows that Meso-NH succeeds in reproducing most of the
measurements in the TTL. It reproduces the enhanced amount of water vapour
in both the ML and IL. In the ML, the simulated water vapour in the range between
4.9 and 6.0 ppmv with an average value (black crosses in Fig. 2a) of 5.5 ppmv reproduces the measured 4.2–5.6 ppmv well. In the IL, the appearance of
ice (black crosses in Fig. 2b) is simulated, but with a maximum value of
0.65 eq. ppmv, which is less by a factor of 3 compared to the measured concentrations.
The simulation captures the CPT well at 17.8 km altitude and
<inline-formula><mml:math id="M40" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">83.3</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M41" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C (crosses in Fig. 2c), RH<inline-formula><mml:math id="M42" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">ice</mml:mi></mml:msub></mml:math></inline-formula> values of 70 %–100 % between 16.5 and 18.5 km altitudes (crosses in Fig. 2d), and the
strong easterly wind (black and blue crosses in Fig. 2e). Despite small
vertical variations in water vapour and temperature that are missing around
the CPT, the simulation is good enough for being used to investigate the
source and the pathways of water in the ML and IL.</p>
      <p id="d1e745">A few hours before the Geophysica measurements and upstream, some clouds
were observed in the TTL by CALIOP at around 20:00 UTC on 7 August 2017. Figure 3a shows a V-shaped region of strong backscatter values of 0.001–0.008 km<inline-formula><mml:math id="M43" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> sr<inline-formula><mml:math id="M44" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> from 15 to 18.5 km altitudes over India along the track
of 25.5–31.5<inline-formula><mml:math id="M45" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N (yellow line in Fig. 1). The V-shaped strong
backscatter region is successfully<?pagebreak page11807?> reproduced by Meso-NH (Fig. 3b) at
15–18.5 km altitudes between 26.5 and 31<inline-formula><mml:math id="M46" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, but with backscatter
values lower than measured. The simulated V-shaped region is characterized
by low ice content (<inline-formula><mml:math id="M47" display="inline"><mml:mrow><mml:mo>≥</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula> eq. ppmv; Fig. 3c), while an above-background
amount of water vapour of 5–7 ppmv is layered at altitudes higher than 18 km (Fig. 3d), where ML is located. The V-shaped strong backscatter region
is possibly induced by waves propagating at these high altitudes, e.g.
gravity waves. Investigating the mechanism at its origin is however beyond
the scope of this article. It is worth noting that the above-background
water vapour concentration and the ice content are already upstream
(93–95<inline-formula><mml:math id="M48" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) about 10 h before flight no. 7 (<inline-formula><mml:math id="M49" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">85.2</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M50" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) and that Meso-NH is able to resolve clouds in the UTLS.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><?xmltex \currentcnt{3}?><label>Figure 3</label><caption><p id="d1e831">Backscatters at 532 nm <bold>(a)</bold> measured by CALIOP at around
20:00 UTC and <bold>(b)</bold> retrieved by the Meso-NH simulation, and <bold>(c)</bold> ice content
(eq. ppmv) and <bold>(d)</bold> water vapour (ppmv) produced by the Meso-NH simulation
along the CALIOP track (marked by solid line in Fig. 1) at 20:00 UTC on 7 August 2017.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/19/11803/2019/acp-19-11803-2019-f03.png"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Target convective overshoots</title>
      <p id="d1e860">In the region where the ML and IL are located, the simulated hydration patch
(water vapour <inline-formula><mml:math id="M51" display="inline"><mml:mrow><mml:mo>≥</mml:mo><mml:mn mathvariant="normal">5.2</mml:mn></mml:mrow></mml:math></inline-formula> ppmv) is seen at the 410 K level at 06:00 UTC on 8 August 2017 (Fig. 4a). It is positioned above high-level clouds, as
shown with BT values lower than <inline-formula><mml:math id="M52" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">47</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M53" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C in both the MSG–SEVIRI
imagery and the Meso-NH simulation in Fig. 5a and b (pointed by arrows),
respectively. This hydration patch is advected from the east by the
strong easterlies (about 25 m s<inline-formula><mml:math id="M54" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>; see Fig. 2e). At 12:00 UTC on 7 August, it is located around eastern India (Fig. 4c) and is associated with
low BT values (<inline-formula><mml:math id="M55" display="inline"><mml:mrow><mml:mo>≤</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">55</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M56" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) in both the MSG–SEVIRI imagery
(pointed by an arrow in Fig. 5c) and the Meso-NH simulation (Fig. 5d). This
suggests that the hydration patch is generated by the injection of water by
convective overshoots. The convective overshoots start to be seen from 14:00 UTC on 6 August over the Sichuan Basin (Fig. 4e), and they develop in this
region until 21:00 UTC. During the period between 14:00 and 21:00 UTC, the
developing overshoots collectively inject a large water vapour hourly budget
of 896 t above the CPT (as the result of integrating the water vapour
content between two isentropic altitudes of 380 and 530 K). The signature of
overshoots is seen over the Sichuan Basin at 21:00 UTC by the large
amount of water vapour in excess of 18 ppmv at the 410 K level (Fig. 4d) and by
BT values lower than <inline-formula><mml:math id="M57" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">80</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M58" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C (Fig. 5e and f). At 13:00 UTC,
before the overshoot development, neither the water vapour mixing ratio larger
than 5 ppmv nor BT values lower than <inline-formula><mml:math id="M59" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M60" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C are distinguishable
over the Sichuan Basin (box in Fig. 5g and h).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><?xmltex \currentcnt{4}?><label>Figure 4</label><caption><p id="d1e966">Target moist patch. Horizontal distribution of water
vapour mixing ratio at 410 K isentropic altitude at <bold>(a)</bold> 06:00 UTC, and <bold>(b)</bold> 00:00 UTC on 8 August, <bold>(c)</bold> 12:00 UTC on 7 August, and <bold>(d)</bold> 21:00 UTC and <bold>(e)</bold> 14:00 UTC on 6 August 2017. The horizontal wind at the altitude of 19 km
(about 410 K isentrope) at 06:00 UTC on 8 August is displayed by vectors.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/19/11803/2019/acp-19-11803-2019-f04.png"/>

        </fig>

      <?xmltex \floatpos{p}?><fig id="Ch1.F5" specific-use="star"><?xmltex \currentcnt{5}?><label>Figure 5</label><caption><p id="d1e992">BT at 10.8 <inline-formula><mml:math id="M61" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m obtained from MSG–SEVIRI (left) and
Meso-NH (right) at <bold>(a, b)</bold> 06:00 UTC on 8 August, <bold>(c, d)</bold> 12:00 UTC on 7 August, <bold>(e, f)</bold> 21:00 UTC, and <bold>(g, h)</bold> 13:00 UTC on 6 August 2017. The
domain used in Fig. 4 is marked by a box in each panel, while the location
of vertical cross sections used in Figs. 6–9 is marked by a black solid
line in the right panels. The location of the hydration patch is depicted by the
white arrows.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://acp.copernicus.org/articles/19/11803/2019/acp-19-11803-2019-f05.png"/>

        </fig>

      <p id="d1e1022">In summary, a good agreement is achieved between the measurements (airborne
and spaceborne) and the Meso-NH simulation. The analysis of the simulation
shows that the water-enhanced layers in the ML and IL observed to the south of
Kathmandu around 06:30 UTC on 8 August were generated by the injection of
water by the convective overshoots produced over the Sichuan Basin during
14:00–21:00 UTC on 6 August.</p>
</sec>
</sec>
<?pagebreak page11808?><sec id="Ch1.S4">
  <label>4</label><title>Pathway of the hydration patch and processes affecting it</title>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>Evolution of the hydration patch on its way to the south of Kathmandu</title>
      <p id="d1e1041">The hydration patch is described on its way from the Sichuan Basin to the
south of Kathmandu. In the following, vertical sections of water vapour, ice
content, and tropospheric tracer are shown across the hydration patch in the
west–east orientation every 2 to 6 h (Figs. 6, 7, and 8). The vertical
cross sections are centred over the hydration patch, all with the same size.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><?xmltex \currentcnt{6}?><label>Figure 6</label><caption><p id="d1e1046">Vertical cross sections of water vapour mixing ratio (wvmr)
(shading) and wind (vectors) at <bold>(a)</bold> 13:00 UTC, <bold>(b)</bold> 15:00 UTC, <bold>(c)</bold> 17:00 UTC,
<bold>(d)</bold> 19:00 UTC, <bold>(e)</bold> 21:00 UTC, and <bold>(f)</bold> 23:00 UTC on 6 August 2017; <bold>(g)</bold> 00:00 UTC,
<bold>(h)</bold> 06:00 UTC, <bold>(i)</bold> 12:00 UTC, and <bold>(j)</bold> 18:00 UTC on 7 August 2017; and <bold>(k)</bold> 00:00
UTC and <bold>(l)</bold> 06:00 UTC on 8 August 2017. The isentropic altitudes of 380 and
410 K are depicted by the red lines. The latitude (<inline-formula><mml:math id="M62" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) of
west–east-oriented cross-section line is indicated at the upper right of
each panel. The cloud boundary (mixing ratio of ice content of 10 mg kg<inline-formula><mml:math id="M63" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) is contoured by the white solid line.</p></caption>
          <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://acp.copernicus.org/articles/19/11803/2019/acp-19-11803-2019-f06.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><?xmltex \currentcnt{7}?><label>Figure 7</label><caption><p id="d1e1116">Same as Fig. 6 but for the ice content. The isentropic
altitudes of 380 and 410 K are depicted by the red lines.</p></caption>
          <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://acp.copernicus.org/articles/19/11803/2019/acp-19-11803-2019-f07.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><?xmltex \currentcnt{8}?><label>Figure 8</label><caption><p id="d1e1128">Same as Fig. 6 but for the tracer (%). The isentropic
altitude of 410 K is depicted by the red line. The changes of the
tropospheric tracer by convective overshoots is marked by downward arrows.</p></caption>
          <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://acp.copernicus.org/articles/19/11803/2019/acp-19-11803-2019-f08.png"/>

        </fig>

<sec id="Ch1.S4.SS1.SSS1">
  <label>4.1.1</label><title>Injection of water into the TTL by convective overshoots</title>
      <p id="d1e1144">The vertical cross sections of water vapour and ice content prove that
the large amounts of water vapour and ice are injected above the 380 K level by
the convective overshoots that occurred during 15:00–21:00 UTC on 6 August. At 13:00 UTC (Fig. 6a), just before the overshoot development, a
strong upward motion is seen at 16–18 km altitudes, while the cloud top
(black solid line) is located in the IL (about 17.5 km), just below the CPT. At
15:00 UTC (Fig. 6b), a large amount of water vapour (<inline-formula><mml:math id="M64" display="inline"><mml:mrow><mml:mo>≥</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula> ppmv) is seen in the ML above 410 K level, while a large ice content in excess of 120 eq. ppmv is found in the IL, between the 380 and 410 K levels (Fig. 7b). Figure 8a and b show that during 15:00–17:00 UTC the concentration of the
tropospheric tracer increases in both the ML and IL, with values of 4 % and 30 %, respectively.</p>
      <?pagebreak page11811?><p id="d1e1157">At 17:00 UTC an even higher cloud top is apparent at the <inline-formula><mml:math id="M65" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">19.5</mml:mn></mml:mrow></mml:math></inline-formula> km altitude (Fig. 6c), a large amount of water vapour (<inline-formula><mml:math id="M66" display="inline"><mml:mrow><mml:mo>≥</mml:mo><mml:mn mathvariant="normal">18</mml:mn></mml:mrow></mml:math></inline-formula> ppmv) rises
to <inline-formula><mml:math id="M67" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">20</mml:mn></mml:mrow></mml:math></inline-formula> km, at around 103<inline-formula><mml:math id="M68" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, and a large ice content
(<inline-formula><mml:math id="M69" display="inline"><mml:mrow><mml:mo>≥</mml:mo><mml:mn mathvariant="normal">120</mml:mn></mml:mrow></mml:math></inline-formula> eq. ppmv) stays below 18 km altitude (Fig. 7c). The large amount
of water is directly injected by convective overshoots mainly in the form of
ice, as the ice-laden air within the convective overshoots mixes with the
entrained stratospheric air during the collapse of the overshooting top. The
warm, subsaturated stratospheric air causes the ice to rapidly sublimate
into water vapour at the top of the overshoot, moistening the layer. It is
worth noting that the water injected by the convective overshoots at 15:00 UTC is
still apparent in the ML at 17:00 UTC at around 102<inline-formula><mml:math id="M70" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, with a water
vapour mixing ratio above 9 ppmv (Fig. 6c). In a similar way, the
convectively injected large moisture at 17:00 UTC at around 103<inline-formula><mml:math id="M71" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E
(Fig. 6c) is found in the ML at 19:00 UTC at around 102.5<inline-formula><mml:math id="M72" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, with a water
vapour mixing ratio larger than 15 ppmv (Fig. 6d). At 19:00 UTC (Fig. 6d),
the strong convective updraughts perturb the isentropic surfaces (red solid
lines), descending at the 410 K level largely from about 18.5 to 17.5 km. At
21:00 UTC a higher cloud top is found above ML in a wide area
(102.3–103.3<inline-formula><mml:math id="M73" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E). The injected water vapour (<inline-formula><mml:math id="M74" display="inline"><mml:mrow><mml:mo>≥</mml:mo><mml:mn mathvariant="normal">18</mml:mn></mml:mrow></mml:math></inline-formula> ppmv) is transported above 20.5 km (Fig. 6e), while the concentration of
0.1 %–0.5 % of the tropospheric tracer is seen in the water vapour
pocket. The large ice content exceeding 120 eq. ppmv is distributed mostly
in the IL (Fig. 7e). During 15:00–21:00 UTC (Fig. 8b–e), a concentration of
2 %–20 % of the tropospheric tracer is consistently seen in the ML, while
a higher concentration of 40 % is found in the IL. During 17:00–21:00 UTC (Fig. 9c–e), the large turbulent kinetic energy (TKE) of 0.2–0.9 m<inline-formula><mml:math id="M75" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M76" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> is apparent in a limited area of cloud top (<inline-formula><mml:math id="M77" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">103</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M78" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><?xmltex \currentcnt{9}?><label>Figure 9</label><caption><p id="d1e1299">Same as Fig. 6 but for the TKE. The isentropic altitude
of 410 K is depicted by the red line.</p></caption>
            <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://acp.copernicus.org/articles/19/11803/2019/acp-19-11803-2019-f09.png"/>

          </fig>

</sec>
<sec id="Ch1.S4.SS1.SSS2">
  <label>4.1.2</label><title>Evolution of the hydration patch along its pathway</title>
      <p id="d1e1316">From 23:00 UTC on 6 August to 06:00 UTC on 8 August 2017, the convective
overshoots gradually diminish in the region of <inline-formula><mml:math id="M79" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">28</mml:mn></mml:mrow></mml:math></inline-formula>–25<inline-formula><mml:math id="M80" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, <inline-formula><mml:math id="M81" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">98</mml:mn></mml:mrow></mml:math></inline-formula>–85<inline-formula><mml:math id="M82" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E (see
Fig. 4). At 23:00 and 00:00 UTC, the anvil-shaped cloud above the 16 km altitude
presents a rather flat cloud top around 19 km (Fig. 7f and g). The injected
large amount of water vapour <inline-formula><mml:math id="M83" display="inline"><mml:mrow><mml:mo>≥</mml:mo><mml:mn mathvariant="normal">18</mml:mn></mml:mrow></mml:math></inline-formula> ppmv is evident in the ML, even at higher
altitudes up to 20.5 km (Fig. 6f and g), whereas the large ice content <inline-formula><mml:math id="M84" display="inline"><mml:mrow><mml:mo>≥</mml:mo><mml:mn mathvariant="normal">120</mml:mn></mml:mrow></mml:math></inline-formula> eq. ppmv is no longer apparent in the IL (Fig. 7f and g). Within the
anvil cloud, a still-large TKE value of 0.2–0.9 m<inline-formula><mml:math id="M85" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M86" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> is seen (Fig. 9f and
g). During 06:00–18:00 UTC on 7 August, the water vapour mixing ratio in
the ML gradually decreases from 15 to <inline-formula><mml:math id="M87" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:math></inline-formula> ppmv; meanwhile the air
mass in the IL becomes dry, with a water vapour mixing ratio below 4 ppmv (Fig. 6h–j). During the same period, the increase in tropospheric tracer
concentration and TKE are evident in both the ML and IL. The air mass with
a concentration higher than 40 % is apparent in the IL, while the air mass with
a lower tropospheric concentration of around 2 %–30 % is seen in the IL (Fig. 8h–j).</p>
      <p id="d1e1409">The air mass with a high tropospheric tracer concentration of 2 %–40 %
consistently exists in the ML and IL from 00:00 to 06:00 UTC on 8 August 2017
(Fig. 8k and l), while the TKE of 0.2–0.9 m<inline-formula><mml:math id="M88" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M89" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> exists in a wide
area between the altitudes of 16 and 18 km (Fig. 9k and l). During this
period, the hydration patch is further narrowed and widened in the ML (Fig. 6k and l), and the air mass becomes drier in the IL (<inline-formula><mml:math id="M90" display="inline"><mml:mrow><mml:mo>≤</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula> ppmv). Note that
even the low numerical diffusion of the PPM scheme also contributes to the
dispersion of the hydration patch. At 00:00 UTC (Fig. 7k), new convection
tops are apparent in altitudes of 16–17 km, and an increase in ice content
above 3 eq. ppmv is seen in the IL. Then a decreased ice<?pagebreak page11812?> content of
0.1–1 eq. ppmv distributes in the IL at 06:00 UTC where a large ice content
of around 1–1.9 eq. ppmv was measured (see Fig. 2b).</p>
</sec>
</sec>
<sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Processes affecting the hydration patch</title>
      <p id="d1e1452">The processes that affect the moist and ice layers are further described. To
this objective, average quantities are calculated in the ML and IL. The hourly
evolution of water vapour, ice content, temperature, and RH<inline-formula><mml:math id="M91" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">ice</mml:mi></mml:msub></mml:math></inline-formula> shows
the lifetime of the injected water in the ML and IL along the pathway of the
hydration patch (Fig. 10). The profiles of tropospheric tracer, temperature,
RH<inline-formula><mml:math id="M92" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">ice</mml:mi></mml:msub></mml:math></inline-formula>, water vapour, ice content, and wind speed give a vertical view in
the column across the tropical tropopause layer (Fig. 11). A scatter plot
using tropospheric tracer and water vapour highlights the mixing processes
occurring in the hydration patch (Fig. 12).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10" specific-use="star"><?xmltex \currentcnt{10}?><label>Figure 10</label><caption><p id="d1e1475">Hourly evolution of <bold>(a)</bold> averaged water vapour (line),
<bold>(b)</bold> averaged ice content (solid line; sum of ice, graupel, and snow) and the
precipitating hydrometeor (dashed line; sum of graupel and snow), and <bold>(c)</bold> averaged temperature (line) and relative humidity (RH<inline-formula><mml:math id="M93" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">ice</mml:mi></mml:msub></mml:math></inline-formula>; thin line
with circle) in the altitudes of 17–18 km (yellow lines) and 18–19 km
(blue lines) from 13:00 UTC on 6 August to 06:00 UTC on 8 August 2017.
The four analysis times are marked by open circles on the <inline-formula><mml:math id="M94" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula> axis. Average
and maximum values are calculated in the ML and IL.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://acp.copernicus.org/articles/19/11803/2019/acp-19-11803-2019-f10.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F11" specific-use="star"><?xmltex \currentcnt{11}?><label>Figure 11</label><caption><p id="d1e1511">Vertical profiles of <bold>(a)</bold> tracer (%), <bold>(b)</bold> temperature
(<inline-formula><mml:math id="M95" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C), <bold>(c)</bold> relative humidity (%), mixing ratios of <bold>(d)</bold> water
vapour (ppmv), <bold>(e)</bold> ice content (eq. ppmv), and <bold>(f)</bold> wind speed (m s<inline-formula><mml:math id="M96" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)
across the hydration patch along the trajectory at 13:00 UTC (yellow line),
21:00 UTC (green line) on 6 August, 12:00 UTC on 7 August (blue line), and
06:00 UTC (red line) on 8 August 2017. The layers of the ML and IL are marked by
arrows. In <bold>(e)</bold>, the ice content is depicted by solid lines, while the cloud
ice is shown by dashed lines.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://acp.copernicus.org/articles/19/11803/2019/acp-19-11803-2019-f11.png"/>

        </fig>

<sec id="Ch1.S4.SS2.SSS1">
  <label>4.2.1</label><title>Mixing of the overshoots with the stratospheric air</title>
      <p id="d1e1571">The hourly evolution of the average water vapour and the ice content along
the pathway of the hydrated layer demonstrates the hydration in the TTL by
the convective overshoots (Fig. 10). During the development of the
convective overshoots between 14:00 and 21:00 UTC on 6 August 2017, the
average water vapour mixing ratio increases to 5.7 ppmv in the IL (yellow solid
line; Fig. 10a), while a large mixing ratio of 6.5 ppmv is seen in the ML (blue
solid line in Fig. 10a). The ice content reaches more than 200 eq. ppmv in
both layers and more than 300 eq. ppmv in the IL (Fig. 10b). Until 17:00 UTC,
the temperature increases in both layers (solid lines in Fig. 10c),
indicating the mixing with the warmer stratospheric air. Because of this
entrained stratospheric air, RH<inline-formula><mml:math id="M97" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">ice</mml:mi></mml:msub></mml:math></inline-formula> decreases largely below 60 % in
the ML (blue line with symbols in Fig. 10c) and down to 90 % in the IL (yellow
line with symbols). Due to the mixing with entrained warmer stratospheric
air, the enriched water vapour layer then remains at this higher isentropic
level after the overshoot collapses. The conditions and timescale of the
detailed process trapping the enriched water vapour in the TTL were
demonstrated by Dauhut et al. (2018). Thanks to a fine temporal resolution
of 1 min, they revealed that this process occurs on short timescales within
20 min. The active mixing of the convective overshoots with the
stratospheric air between 14:00 and 21:00 UTC is also evidenced by the
evolution of vertical profiles of tropospheric tracer (Fig. 11a). The
tropospheric tracer concentration increases from 0 % to 5 % in the ML (yellow
and green lines in Fig. 11a), while the stratospheric air concentration (1
minus tracer) increases by 5 % in the IL. The temperature increases in both
the ML and IL (yellow and green lines in Fig. 11b) where the relative humidity
decreases (yellow and green lines in Fig. 11c).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F12"><?xmltex \currentcnt{12}?><label>Figure 12</label><caption><p id="d1e1585">Mixing diagram using tropospheric tracer (%) and
water vapour (ppmv) across the hydration patch in the altitudes between 14
and 22 km a.s.l. along the trajectory at <bold>(a)</bold> 13:00 UTC on 6 August, <bold>(b)</bold> 21:00 UTC on 6 August, <bold>(c)</bold> 12:00 UTC on 7 August, and <bold>(d)</bold> 06:00 UTC on 8 August 2017. The potential temperature (K) is shown with colour shading.</p></caption>
            <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/19/11803/2019/acp-19-11803-2019-f12.png"/>

          </fig>

      <p id="d1e1606">The scatter plot of the tropospheric tracer and water vapour mixing ratio
(Fig. 12) evidences the large mixing of tropospheric and stratospheric air
masses in the TTL (14–22 km altitudes). A large evolution of the
tropospheric tracer–water<?pagebreak page11813?> vapour diagram is found from 13:00 to 21:00 UTC
on 6 August (Fig. 12a and b). At 13:00 UTC, before the development of the
convective overshoots, the air mass with a potential temperature (<inline-formula><mml:math id="M98" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula>)
of 410–420 K (yellow circles), corresponding to ML, is relatively dry with a
water vapour mixing ratio of 5–7.2 ppmv (Fig. 12a) and very small
compounds of tropospheric air (tracer <inline-formula><mml:math id="M99" display="inline"><mml:mo>≤</mml:mo></mml:math></inline-formula> 0.1 %). The air mass with
a <inline-formula><mml:math id="M100" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula> of 380–390 K (black circles), corresponding to the IL, has a low water
vapour mixing ratio of 3–7.5 ppmv. At 21:00 UTC (Fig. 12b), the air mass
with a <inline-formula><mml:math id="M101" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula> between 410 and 420 K becomes very humid (5.5–13.6 ppmv of
water vapour), and the concentration of tropospheric tracer increases to
0.2 %–8 %. Moreover the air mass with a very high <inline-formula><mml:math id="M102" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula> of 450–460 K
(purple circles) is moistened largely, as shown by a water vapour mixing ratio
above 15 ppmv. So does the air mass with a <inline-formula><mml:math id="M103" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula> between 390 and 410 K,
which is both moistened and enriched by the tropospheric tracer with a
concentration of 5 %–60 % (red and orange circles; Fig. 12b). The convective
overshoots also impact the air mass below the CPT by widening the range of
the water vapour mixing ratio with a <inline-formula><mml:math id="M104" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula> between 370 and 380 K (grey
circles in Fig. 12a and b) from 3.2–13.9 ppmv at 13:00 UTC (Fig. 12a) to
0–18.8 ppmv at 21:00 UTC (Fig. 12b).</p>
      <p id="d1e1660">From 17:00 UTC on 6 August to 02:00 UTC on 7 August, Fig. 9c shows that the
temperature decreases gradually (solid lines), while the relative humidity
increases (lines with<?pagebreak page11814?> symbols). In the ML and IL, a great part of ice contents,
especially snow and graupel, falls quickly (dashed line in Fig. 10b), and the
rest sublimates. Meanwhile, with the ice sediment out, still there is a low
concentration of cloud ice in both the ML and IL, and the water vapour
concentration slightly decreases (blue solid line in Fig. 10a). The
continued presence of cloud ice in the ML suggests that the ice may have formed
in situ in response to wave-driven temperature oscillations that locally
drive the RH to ice saturation. The ice microphysics might play a pivotal
role in controlling the eventual moisture content, since ice nucleation and
the subsequent ice-growth process deplete the ML slowly. In the ML, the
relative humidity increases (in range of 65 %–80 %) mainly due to the
temperature decrease (in range of <inline-formula><mml:math id="M105" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">78</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M106" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">82</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M107" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C; solid
lines; Fig. 10c). During this period, the easterly wind is nearly constant,
with the relatively weak speed of <inline-formula><mml:math id="M108" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math id="M109" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in the ML and
<inline-formula><mml:math id="M110" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">16.5</mml:mn></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math id="M111" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in the IL (yellow and green lines; Fig. 11f).
After 7 August, in the ML, the relative humidity of less than 80 % indicates
strong subsaturation where a very small amount (0.1–0.3 eq. ppmv) of
cloud ice still resides. This is probably induced by the domain-averaged
analysis.</p>
</sec>
<sec id="Ch1.S4.SS2.SSS2">
  <label>4.2.2</label><title>Processes occurring in the hydration patch during the advection</title>
      <p id="d1e1745">After the development of the convective overshoots, the hydration patch
travels westward across India and northern Bangladesh from 21:00 UTC on 6 August to 06:00 UTC on 8 August (Fig. 4). During its travel, the air mass in
the ML and IL has a smaller and smaller amount of water vapour and ice content (Fig. 10a and b).</p>
      <?pagebreak page11815?><p id="d1e1748">Between 21:00 UTC on 6 August and 12:00 UTC on 7 August, the concentration
of tropospheric tracer increases at high altitudes, with a <inline-formula><mml:math id="M112" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula> between
410 and 420 K up to 18 % (yellow circles; Fig. 12b and c). At the same time,
the water vapour decreases by a factor of 2, in the range of 5–9.6 ppmv.
This can be also seen in the vertical profiles for which the concentration
of tropospheric tracer increases at 12:00 UTC on 7 August in both the ML and IL
(green and blue lines; Fig. 11a) and the water vapour decreases (green and
blue lines; Fig. 11d). The two layers become colder by <inline-formula><mml:math id="M113" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M114" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C (green and blue lines in Fig. 11b) and dehydrated compared to
the initial state of 13:00 UTC on 6 August (yellow line in Fig. 11d and e). This
includes a much-reduced amount of ice content (green and blue solid lines in
Fig. 11e), but still ice content <inline-formula><mml:math id="M115" display="inline"><mml:mrow><mml:mo>≥</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> eq. ppmv and cloud ice
<inline-formula><mml:math id="M116" display="inline"><mml:mrow><mml:mo>≥</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:math></inline-formula> eq. ppmv exist at 12:00 UTC on 7 August (blue dashed line; Fig. 11e).
In the IL (Fig. 10c), RH<inline-formula><mml:math id="M117" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">ice</mml:mi></mml:msub></mml:math></inline-formula> oscillates, mostly driven by temperature
variation. Over time, the air mass in the ML and IL gets colder and less humid
by the lowered cloud top below the 17 km altitude. In both the ML and IL, the
easterly winds weaken below 15 m s<inline-formula><mml:math id="M118" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. Moreover, the TKE increases from 0.1–0.3 m<inline-formula><mml:math id="M119" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M120" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> at 21:00 UTC to
0.2–0.9 m<inline-formula><mml:math id="M121" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M122" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> at 12:00 UTC in the ML and IL (Fig. 9e and i). These
results suggest that the water vapour concentration in the ML and IL decreases
due to the turbulent diffusion in both the vertical and the horizontal
direction, consistent with the increase in tropospheric tracer. Also, the
vapour-scavenging effect by ice nucleation and particle growth within the IL
contributes to reducing the water vapour deriving the dehydration. The rapid
decrease in ice content in the IL due to both sublimation and sedimentation
(Fig. 7f–i) results in the lowering of the cloud top from 17 to below 16 km at 97–101<inline-formula><mml:math id="M123" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E at 06:00 UTC (Fig. 7h) and finally to 15 km at
around 95.5<inline-formula><mml:math id="M124" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E at 12:00 UTC (Fig. 7i).</p>
      <p id="d1e1880">Further increased tropospheric tracer concentration can be seen from
12:00 UTC on 7 August to 06:00 UTC on 8 August 2017 in the ML and IL (blue and
red lines; Fig. 11a). Moreover the tropospheric tracer concentration reaches
about 30 % and 70 % in the ML and IL, respectively, while the water vapour
decreases (Fig. 11a and d). During this time, the cloud top height of
convective cloud descends below 14 km (Fig. 6i–l), where RH<inline-formula><mml:math id="M125" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">ice</mml:mi></mml:msub></mml:math></inline-formula>
dramatically decreases (Figs. 2d and 11c). The entrained cold tropospheric air
(and/or colder background air) and the hydrostatic adjustment decrease the
temperature in the ML and IL (Fig. 11b). It is worth noting the shape of the
temperature profile that becomes straight upward in the altitudes of
17–18.5 km during the overshoot activity (green line; Fig. 11b). Also it
is worth noting the decrease in ice content of less than 0.3 eq. ppmv (blue and
red line; Fig. 11e) and the large decrease in relative humidity in
altitudes below 17.5 km.</p>
      <p id="d1e1892">The increased tropospheric tracer concentration in the ML and IL is seen as well
by the tracer–vapour diagram in Fig. 12c and d. The concentration of
tropospheric tracer increases at high altitudes with <inline-formula><mml:math id="M126" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula> between 410
and 420 K (yellow circles) up to 20 % at 06:00 UTC on 8 August 2017;
meanwhile the tropospheric air concentration increases up to 50 % at the
altitudes with <inline-formula><mml:math id="M127" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula> between 390 and 400 K (red circles in Fig. 12d).
During the period (12:00 UTC on 7 August to 06:00 UTC on 8 August), the
water vapour decreases in all altitudes with a <inline-formula><mml:math id="M128" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula> value above 380 K (Fig. 12c and d). It decreases from 9.6 to below 6.2 ppmv in the ML (<inline-formula><mml:math id="M129" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula> between
410 and 430 K; yellow and green circles), while dropping below 5 ppmv in the IL
(<inline-formula><mml:math id="M130" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula> between 380 and 400 K; red and black circles). The reduced ice content
in the ML and IL might be induced by sublimation due to the mixing with the dry
tropospheric air (RH<inline-formula><mml:math id="M131" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">ice</mml:mi></mml:msub></mml:math></inline-formula> <inline-formula><mml:math id="M132" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 50 %–70 %) of below the 16 km
level (red line in Fig. 11c and crosses in Fig. 2d). The air mixing of
tropospheric and stratospheric air masses might be induced by the vertical
wind shear, with the maxima wind speeds in excess of 30 m s<inline-formula><mml:math id="M133" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> at
<inline-formula><mml:math id="M134" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">17</mml:mn></mml:mrow></mml:math></inline-formula> and 18.5 km altitudes (see Fig. 2e; average value in
range of 18–25 m s<inline-formula><mml:math id="M135" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> of red line in Fig. 11f). With the
strengthened easterlies, the air mass in the IL is well-mixed rather than
conserved in this layer. Also, this wind shear layer with a large gradient
of wind speed (25–35 m s<inline-formula><mml:math id="M136" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) is located below and above the CPT (Fig. 2c and
e); thus it results in the straight upward temperature profile with the
constant value of about <inline-formula><mml:math id="M137" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">80</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M138" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C at 06:00 UTC on 8 August, as seen in
Fig. 11b (red line). The air mass in the ML and IL has large TKE values of 0.5 m<inline-formula><mml:math id="M139" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M140" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (Fig. 9l).</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F13"><?xmltex \currentcnt{13}?><label>Figure 13</label><caption><p id="d1e2037">Schematic illustration summarizing the hydration process
in the TTL during flight no. 7 of the StratoClim 2017 field campaign. <bold>(a)</bold> Mixing of the overshoots with the stratospheric air, <bold>(b)</bold> and <bold>(c)</bold> turbulent
mixing of the hydration patch with the tropospheric air by vertical wind
shear. The bottom and top of the TTL, at 14 and 22 km, and the moist layer (ML)
and ice layer (IL) are represented by the black solid line, and the 410 K
isentropic altitude is represented by the red solid line. The main force in
the TTL is marked by bold red arrows, while the turbulent eddies in and around
the developed and weakened overshoots are described by black arrows. The
overreaching water vapour above the cloud top level is indicated by a yellow
ellipse in <bold>(a)</bold>. The hydration patch is shaded in yellow in <bold>(a)</bold> and <bold>(b)</bold>,
and the layer of dehydration by turbulent diffusion and water vapour
deposition followed by ice sedimentation is hatched in <bold>(c)</bold>. The blue shading
illustrates the concentration of tropospheric air, showing the increased
tropospheric air in the TTL by the turbulent mixing in <bold>(b)</bold> and <bold>(c)</bold>.</p></caption>
            <?xmltex \igopts{width=207.705118pt}?><graphic xlink:href="https://acp.copernicus.org/articles/19/11803/2019/acp-19-11803-2019-f13.png"/>

          </fig>

</sec>
</sec>
</sec>
<?pagebreak page11816?><sec id="Ch1.S5" sec-type="conclusions">
  <label>5</label><title>Conclusions</title>
      <p id="d1e2085">The source and pathway of the hydration patch in the TTL (tropical
tropopause layer) that was measured during flight no. 7 of the StratoClim
2017 field campaign during the Asian summer monsoon and its connection to
overshooting convection are investigated. During the Geophysica flight no. 7
at around 06:30 UTC on 8 August 2017, two remarkable layers were observed to
the south of Kathmandu, above and below the CPT located at 17.8 km: a moist
layer (ML) with a large water vapour content of 4.2–5.6 ppmv in altitudes of
18–19 km in the lower stratosphere and an ice layer (IL) with a large ice
content up to 1.9 eq. ppmv at altitudes of 17–18 km in the upper
troposphere. The Meso-NH numerical simulation run with a 2.5 km horizontal
grid spacing succeeds in reproducing the ML and IL. Through analysis using
airborne and spaceborne measurements and the numerical simulation, we show
that the measured hydration patch in the ML found in the south of Kathmandu
(<inline-formula><mml:math id="M141" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">85</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M142" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) was produced by the convective overshoots
that occurred over the Sichuan Basin (<inline-formula><mml:math id="M143" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">103</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M144" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E)
between 14:00 and 21:00 UTC on 6 August 2017. The key hydration processes
are summarized schematically in Fig. 13.</p>
      <p id="d1e2124">The convective overshoots develop up to 19.5 km altitude in the Sichuan Basin and transport large amounts of water vapour of 6.5 ppmv to ML and ice
content in excess of 300 eq. ppmv to the IL. Between 15:00 and 21:00 UTC, the
overshooting clouds collectively hydrate the lower stratosphere, resulting in
the total amount of water vapour of 6088 t. It is also worth noting the
large concentration of water vapour of over 18 ppmv up to 20 km level, which
is above the convective cloud top of 19.5 km (a yellow ellipse in Fig. 13a). This feature is similarly seen during the development of Hector
the Convector in the Tiwi Islands (Dauhut et al., 2018); however, the
magnitude is <inline-formula><mml:math id="M145" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> ppmv higher in the present event. The
concentration of the tropospheric tracer reaches 8 % and <inline-formula><mml:math id="M146" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">60</mml:mn></mml:mrow></mml:math></inline-formula> % in the ML and IL, respectively, indicating the strong mixing of the
convective updraughts with the stratospheric air (black arrows in Fig. 13a).
The strong convective updraughts perturb the isentropic surfaces (red line
in Fig. 13a), descending to the 410 K level from 18.5 to 17.5 km. During these
convective events, the mixing of the tropospheric and stratospheric air
masses increases the temperature in the ML and IL. Moreover, the moderate – not
intense – easterly wind (<inline-formula><mml:math id="M147" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math id="M148" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> prevails constantly
in these levels, and it does not interrupt the convection developing
vigorously in altitude (19.5 km a.s.l.) and reaching the lower stratosphere.</p>
      <p id="d1e2172">The injected water by the convective overshoots generates the hydration
patch, i.e. large water vapour in the ML (ellipse in Fig. 13b). During its
westward travel, its altitude is kept constant by the moderate easterlies of
about 15 m s<inline-formula><mml:math id="M149" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in the ML and IL. The tropospheric tracer concentration is
continuously increased in these layers, where the above-background amount of
water vapour still remains and where the ice<?pagebreak page11817?> content gradually sediments
out and forms again along the pathway. It is highlighted that the large
transported amount of water vapour (<inline-formula><mml:math id="M150" display="inline"><mml:mrow><mml:mo>≥</mml:mo><mml:mn mathvariant="normal">18</mml:mn></mml:mrow></mml:math></inline-formula> ppmv) still remains at high
altitudes of up to 20.5 km even when the anvil cloud top descends to 18.5 km. Later on, the cloud top is still seen around 16–17 km level, keeping
the large RH<inline-formula><mml:math id="M151" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">ice</mml:mi></mml:msub></mml:math></inline-formula> (about 95 %) in these altitudes. A part of the water
vapour was lost due to ice formation and sedimentation and the
turbulent diffusion in both the vertical and the horizontal direction (black
arrows in Fig. 13b). The ice microphysics (e.g. nucleation, growth, and
sedimentation of ice particles) might play a pivotal role in controlling the
eventual moisture content, since ice nucleation and the subsequent growth
process would slowly deplete the water vapour. This falling of ice and a
reduced updraught are evident by the partly lowered cloud top height from 17
to <inline-formula><mml:math id="M152" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">15</mml:mn></mml:mrow></mml:math></inline-formula> km (Fig. 13c).</p>
      <p id="d1e2216">Then the hydration patch continues to travel to the south of Kathmandu, with
an even higher tropospheric tracer concentration of <inline-formula><mml:math id="M153" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">30</mml:mn></mml:mrow></mml:math></inline-formula> % and 70 % in the ML and IL, respectively (darker blue shades in Fig. 13c). During
the same period, the top of convective clouds further descends below 14 km;
thus the layer below the IL, i.e. 15–17 km, becomes dry, with the RH<inline-formula><mml:math id="M154" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">ice</mml:mi></mml:msub></mml:math></inline-formula> below
70 %. Due to mixing with the dry tropospheric air, the remaining water
vapour in the ML gradually diffused in the horizontal and vertical direction
(ellipse). It is also true that the ice content in the IL is locally influenced
by new convection with the cloud top in altitudes of 16–17 km about 6 h before
flight no. 7. The continuous air mixing might be induced by the vertical
wind shear in altitudes of 15–19 km, where the wind speed varies from
<inline-formula><mml:math id="M155" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">18</mml:mn></mml:mrow></mml:math></inline-formula> to 25 m s<inline-formula><mml:math id="M156" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (red bold arrows in Fig. 13c). The
vertical mixing due to wind shear modifies the temperature profile to the
straight–upward direction at 17–18 km rather than bending. Also, vertical motions
caused by gravity waves breaking might play an important role in the
transport of tropospheric air into the TTL. In addition, after the strong
updraughts of overshooting convection, the remaining horizontal divergence
in the lower stratosphere might allow the tropospheric air continue to
ascend.</p>
      <p id="d1e2261">Many previous Lagrangian studies (Tzella and Legras, 2011; Tissier and
Legras, 2016) demonstrated the link between the moistened TTL and remote
overshoots using large-scale numerical simulations. Thanks to the
combination of aircraft measurement and a convection-permitting
simulation, this study shed light on the processes along the pathway of a
hydration patch from overshooting clouds for 1.5 d, showing the 3-D
evolution of water vapour and ice content.</p>
      <p id="d1e2264">This study focuses on the hydration patch that was measured during the last
descending of flight no. 7 and the corresponding convective overshoots over
the Sichuan Basin. Here, the average water vapour amount in the lower
stratosphere is 6.5 ppmv during the convective event, while water vapour of
6 ppmv is found above western Africa during the monsoon season by Khaykin et al. (2009). By comparison, convection developing during the Asian monsoon
over the Sichuan Basin had a similar impact on the stratospheric water
budget to that above western Africa. From the hourly budget of 869 t, we can also
confirm that the local impact of overshoots developed during the Asian
summer monsoon is stronger than that over tropical Africa (300–500 t
according to Liu et al., 2010) and is weaker than Hector the Convector over
the Tiwi Islands (2776 t according to Dauhut et al., 2015). Because of a
large variety in the lifetime and horizontal scale of overshoots, an
accumulation of more event-scale analyses is important. In addition, note
that the amount of injected moisture is sensitive to the grid spacing of
simulation (up to a factor of 2, with horizontal grid spacing varying from
1600 to 100 m; Dauhut et al., 2015) and the convection duration of the target
system. The simple set-up of tropospheric tracer of this study, i.e.
tropospheric air below the 380 K isentropic altitude, allows the mixture of
tropospheric and stratospheric air parcels in the TTL by vigorous convective
overshoots to be understood. To estimate the detailed origin, i.e. defining
the lower, middle, and upper troposphere, of the air parcel, further analyses
using passive tracers (e.g. Mullendore et al., 2005; Hassim and Lane, 2010;
Homeyer, 2015; Dauhut et al., 2016) will be required. Also, additional
numerical simulation with a two-moment microphysical scheme that considers
mass and number concentration of hydrometeors and aerosol together with
options in the turbulent scheme (e.g. 1-D against 3-D formulation; Machado
and Chaboureau, 2015) will be worthwhile in studying the impact on the results.
The amount of water vapour and ice that is generally injected into the
TTL through convective overshoots during the Asian summer monsoon is
currently being investigated in a follow-up study. Further, it would be
interesting to investigate the transport of chemical constituents, e.g.
methane, nitrogen oxides, and carbon monoxide, via convective overshoots
during this season.</p>
</sec>

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

      <p id="d1e2271">After the StratoClim embargo period, the aircraft data will be available at
the DLR database <uri>https://halo-db.pa.op.dlr.de/mission/101</uri> (last access: 19 September 2019). Meso-NH output
data are available from Jean-Pierre Chaboureau upon request.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e2277">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/acp-19-11803-2019-supplement" xlink:title="pdf">https://doi.org/10.5194/acp-19-11803-2019-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e2286">KOL, TD, and JPC designed the numerical simulation, and JPC performed the
simulation. KOL, TD, and JPC designed the paper and analyses. SK
provided the FLASH instrument data, and MK and CR provided the FISH
instrument data. KOL prepared the paper, with contributions from all
co-authors.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e2292">The authors declare that they have no conflict of interest.</p>
  </notes><notes notes-type="sistatement"><title>Special issue statement</title>

      <?pagebreak page11818?><p id="d1e2298">This article is part of the special issue “StratoClim stratospheric and upper tropospheric processes for better climate predictions (ACP/AMT inter-journal SI)”. It is not associated with a conference.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e2304">This study is funded by the StratoClim project by the European Union Seventh
Framework Programme under grant agreement no. 603557 and the IDEX TEASAO
project. Computer resources were allocated by GENCI through project 90569.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e2309">This study is funded by the StratoClim project
by the European Union Seventh Framework Programme (grant no. 603557).</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e2315">This paper was edited by Rolf Müller and reviewed by three anonymous referees.</p>
  </notes><ref-list>
    <title>References</title>

      <ref id="bib1.bib1"><label>1</label><?label 1?><mixed-citation>Afchine, A., Rolf, C., Costa, A., Spelten, N., Riese, M., Buchholz, B., Ebert, V., Heller, R., Kaufmann, S., Minikin, A., Voigt, C., Zöger, M., Smith, J., Lawson, P., Lykov, A., Khaykin, S., and Krämer, M.: Ice particle sampling from aircraft – influence of the probing position on the ice water content, Atmos. Meas. Tech., 11, 4015–4031, <ext-link xlink:href="https://doi.org/10.5194/amt-11-4015-2018" ext-link-type="DOI">10.5194/amt-11-4015-2018</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib2"><label>2</label><?label 1?><mixed-citation>Bougeault, P. and Lacarrère, P.: Parameterization of orography-induced
turbulence in a meso-beta-scale model, Mon. Weather Rev., 117,
1872–1890, <ext-link xlink:href="https://doi.org/10.1175/1520-0493(1989)117&lt;1872:POOITI&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0493(1989)117&lt;1872:POOITI&gt;2.0.CO;2</ext-link>,
1989.</mixed-citation></ref>
      <ref id="bib1.bib3"><label>3</label><?label 1?><mixed-citation>Chaboureau, J.-P., Cammas, J.-P., Duron, J., Mascart, P. J., Sitnikov, N. M., and Voessing, H.-J.: A numerical study of tropical cross-tropopause transport by convective overshoots, Atmos. Chem. Phys., 7, 1731–1740, <ext-link xlink:href="https://doi.org/10.5194/acp-7-1731-2007" ext-link-type="DOI">10.5194/acp-7-1731-2007</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bib4"><label>4</label><?label 1?><mixed-citation>Chaboureau, J.-P. and Coauthors: A midlatitude precipitating cloud database
validated with satellite observations, J. Appl. Meteor. Climatol., 47,
1337–1353, <ext-link xlink:href="https://doi.org/10.1175/2007JAMC1731.1" ext-link-type="DOI">10.1175/2007JAMC1731.1</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib5"><label>5</label><?label 1?><mixed-citation>Chaboureau, J.-P., Richard, E., Pinty, J.-P., Flamant, C. Girolamo, P. Di, Kiemle, C., Behrendt, A., Chepfer, H., Chiriaco, M., and Wulfmeyer, V.: Long-range transport of Saharan dust and
its radiative impact on precipitation forecast: A case study during the
Convective and Orographically-induced Precipitation Study (COPS), Q. J.
Roy. Meteorol. Soc., 137, 236–251, <ext-link xlink:href="https://doi.org/10.1002/qj.719" ext-link-type="DOI">10.1002/qj.719</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib6"><label>6</label><?label 1?><mixed-citation>Colella, P. and Woodward, P. R.: The piecewise parabolic method (PPM) for
gas dynamical simulations, J. Comput. Phys., 54, 174–201,
<ext-link xlink:href="https://doi.org/10.1016/0021-9991(84)90143-8" ext-link-type="DOI">10.1016/0021-9991(84)90143-8</ext-link>, 1984.</mixed-citation></ref>
      <ref id="bib1.bib7"><label>7</label><?label 1?><mixed-citation>Cuxart, J., Bougeault, P., and Redelsperger, J. L.: A turbulence scheme
allowing for mesoscale and large-eddy simulations, Q. J. Roy. Meteorol. Soc.,
126, 1–30, <ext-link xlink:href="https://doi.org/10.1002/qj.49712656202" ext-link-type="DOI">10.1002/qj.49712656202</ext-link>, 2000.</mixed-citation></ref>
      <ref id="bib1.bib8"><label>8</label><?label 1?><mixed-citation>Dauhut, T., Chaboureau, J. P., Escobar, J., and Mascart, P.: Large-eddy
simulations of hector the convector making the stratosphere wetter, Atmos.
Sci. Lett., 16, 135–140, <ext-link xlink:href="https://doi.org/10.1002/asl2.534" ext-link-type="DOI">10.1002/asl2.534</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib9"><label>9</label><?label 1?><mixed-citation>Dauhut, T., Chaboureau, J. P., Escobar, J., and Mascart, P.: Giga-LES of
hector the convector and its two tallest updrafts up to the stratosphere, J.
Atmos. Sci., 73, 5041–5060, <ext-link xlink:href="https://doi.org/10.1175/JAS-D-16-0083.1" ext-link-type="DOI">10.1175/JAS-D-16-0083.1</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib10"><label>10</label><?label 1?><mixed-citation>Dauhut, T., Chaboureau, J. P., Haynes, P. H., and Lane, T. P: The mechanisms
leading to a stratospheric hydration by overshooting convection, J. Atmos.
Sci., 75, 4383–4398, <ext-link xlink:href="https://doi.org/10.1175/JAS-D-18-0176.1" ext-link-type="DOI">10.1175/JAS-D-18-0176.1</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib11"><label>11</label><?label 1?><mixed-citation>Dessler, A. E. and Sherwood, S. C.: Effect of convection on the summertime
extratropical lower stratosphere, J. Geophys. Res., 109, D23301,
<ext-link xlink:href="https://doi.org/10.1029/2004JD005209" ext-link-type="DOI">10.1029/2004JD005209</ext-link>, 2004.</mixed-citation></ref>
      <ref id="bib1.bib12"><label>12</label><?label 1?><mixed-citation>Fueglistaler, S., Dessler, A. E., Dunkerton, T. J., Folkins, I., Fu, Q., and
Mote, P. W.: Tropical tropopause layer, Rev. Geophys., 47, RG1004,
<ext-link xlink:href="https://doi.org/10.1029/2008RG000267" ext-link-type="DOI">10.1029/2008RG000267</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib13"><label>13</label><?label 1?><mixed-citation>Funatsu, B. M., Rysman, J. F., Claud, C., and Chaboureau, J. P.: Deep
convective clouds distribution over the Mediterranean region from AMSU-B/MHS
observations, Atmos. Res., 207, 122–135, <ext-link xlink:href="https://doi.org/10.1016/j.atmosres.2018.03.003" ext-link-type="DOI">10.1016/j.atmosres.2018.03.003</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib14"><label>14</label><?label 1?><mixed-citation>Gal-Chen, T. and Somerville, R. C. J.: On the use of a coordinate
transformation for the solution of the Navier-Stokes equations, J. Comput.
Phys., 17, 209–228, <ext-link xlink:href="https://doi.org/10.1016/0021-9991(75)90037-6" ext-link-type="DOI">10.1016/0021-9991(75)90037-6</ext-link>, 1975.</mixed-citation></ref>
      <ref id="bib1.bib15"><label>15</label><?label 1?><mixed-citation>Hassim, M. E. E. and Lane, T. P.: A model study on the influence of overshooting convection on TTL water vapour, Atmos. Chem. Phys., 10, 9833–9849, <ext-link xlink:href="https://doi.org/10.5194/acp-10-9833-2010" ext-link-type="DOI">10.5194/acp-10-9833-2010</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib16"><label>16</label><?label 1?><mixed-citation>Highwood, E. J. and Hoskins, B. J.: The tropical tropopause, Q. J. Roy.
Meteorol. Soc., 124, 1579–1604, <ext-link xlink:href="https://doi.org/10.1002/qj.49712454911" ext-link-type="DOI">10.1002/qj.49712454911</ext-link>, 1998.</mixed-citation></ref>
      <ref id="bib1.bib17"><label>17</label><?label 1?><mixed-citation>Homeyer, C. R.: Numerical simulations of extratropical tropopause
penetrating convection, J. Geophys. Res.-Atmos., 120, 7174–7188.
<ext-link xlink:href="https://doi.org/10.1002/2015JD023356" ext-link-type="DOI">10.1002/2015JD023356</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib18"><label>18</label><?label 1?><mixed-citation>Homeyer, C. R., Pan, L. L., Dorsi, S. W., Avallone, L. M., Weinheimer, A.
J., O'Brien, A. S., DiGangi, J. P., Zondlo, M. A., Ryerson, T. B., Diskin,
G. S., and Campos, T. L.: Convective transport of water vapor into the lower
stratosphere observed during double-tropopause events, J. Geophys. Res.-Atmos., 119, 10941–10958, <ext-link xlink:href="https://doi.org/10.1002/2014JD021485" ext-link-type="DOI">10.1002/2014JD021485</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib19"><label>19</label><?label 1?><mixed-citation>Homeyer, C. R., McAuliffe, J. D., and Bedka, K. M.: On the development of
above-anvil cirrus plumes in Extratropical convection, J. Atmos. Sci., 74,
1617–1633, <ext-link xlink:href="https://doi.org/10.1175/JAS-D-16-0269.1" ext-link-type="DOI">10.1175/JAS-D-16-0269.1</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bib20"><label>20</label><?label 1?><mixed-citation>Hoskins, B. J. and Rodwell, M. J.: A model of the Asian summer monsoon, I,
The global scale, J. Atmos. Sci, 52, 1329–1340, <ext-link xlink:href="https://doi.org/10.1175/1520-0469(1995)052&lt;1329:AMOTAS&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0469(1995)052&lt;1329:AMOTAS&gt;2.0.CO;2</ext-link>,
1995.</mixed-citation></ref>
      <ref id="bib1.bib21"><label>21</label><?label 1?><mixed-citation>Jensen, E., Ackerman, A. S., and Smith, J. A.: Can overshooting convection
dehydrate the tropical tropopause layer?, J. Geophys. Res., 112, D11209,
<ext-link xlink:href="https://doi.org/10.1029/2006JD007943" ext-link-type="DOI">10.1029/2006JD007943</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bib22"><label>22</label><?label 1?><mixed-citation>Kato, T.: Structure of the band-shaped precipitation system inducing the
heavy rainfall observed over northern Kyushu, Japan on 29 June 1999, J.
Meteor. Soc. Japan, 84, 129–153,
<ext-link xlink:href="https://doi.org/10.2151/jmsj.84.129" ext-link-type="DOI">10.2151/jmsj.84.129</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bib23"><label>23</label><?label 1?><mixed-citation>Khaykin, S., Pommereau, J.-P., Korshunov, L., Yushkov, V., Nielsen, J., Larsen, N., Christensen, T., Garnier, A., Lukyanov, A., and Williams, E.: Hydration of the lower stratosphere b<?pagebreak page11819?>y ice crystal geysers over land convective systems, Atmos. Chem. Phys., 9, 2275–2287, <ext-link xlink:href="https://doi.org/10.5194/acp-9-2275-2009" ext-link-type="DOI">10.5194/acp-9-2275-2009</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib24"><label>24</label><?label 1?><mixed-citation>Khaykin, S. M., Engel, I., Vömel, H., Formanyuk, I. M., Kivi, R., Korshunov, L. I., Krämer, M., Lykov, A. D., Meier, S., Naebert, T., Pitts, M. C., Santee, M. L., Spelten, N., Wienhold, F. G., Yushkov, V. A., and Peter, T.: Arctic stratospheric dehydration – Part 1: Unprecedented observation of vertical redistribution of water, Atmos. Chem. Phys., 13, 11503–11517, <ext-link xlink:href="https://doi.org/10.5194/acp-13-11503-2013" ext-link-type="DOI">10.5194/acp-13-11503-2013</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib25"><label>25</label><?label 1?><mixed-citation>Khaykin, S. M., Pommereau, J.-P., Riviere, E. D., Held, G., Ploeger, F., Ghysels, M., Amarouche, N., Vernier, J.-P., Wienhold, F. G., and Ionov, D.: Evidence of horizontal and vertical transport of water in the Southern Hemisphere tropical tropopause layer (TTL) from high-resolution balloon observations, Atmos. Chem. Phys., 16, 12273–12286, <ext-link xlink:href="https://doi.org/10.5194/acp-16-12273-2016" ext-link-type="DOI">10.5194/acp-16-12273-2016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib26"><label>26</label><?label 1?><mixed-citation>Lac, C., Chaboureau, J.-P., Masson, V., Pinty, J.-P., Tulet, P., Escobar, J., Leriche, M., Barthe, C., Aouizerats, B., Augros, C., Aumond, P., Auguste, F., Bechtold, P., Berthet, S., Bielli, S., Bosseur, F., Caumont, O., Cohard, J.-M., Colin, J., Couvreux, F., Cuxart, J., Delautier, G., Dauhut, T., Ducrocq, V., Filippi, J.-B., Gazen, D., Geoffroy, O., Gheusi, F., Honnert, R., Lafore, J.-P., Lebeaupin Brossier, C., Libois, Q., Lunet, T., Mari, C., Maric, T., Mascart, P., Mogé, M., Molinié, G., Nuissier, O., Pantillon, F., Peyrillé, P., Pergaud, J., Perraud, E., Pianezze, J., Redelsperger, J.-L., Ricard, D., Richard, E., Riette, S., Rodier, Q., Schoetter, R., Seyfried, L., Stein, J., Suhre, K., Taufour, M., Thouron, O., Turner, S., Verrelle, A., Vié, B., Visentin, F., Vionnet, V., and Wautelet, P.: Overview of the Meso-NH model version 5.4 and its applications, Geosci. Model Dev., 11, 1929–1969, <ext-link xlink:href="https://doi.org/10.5194/gmd-11-1929-2018" ext-link-type="DOI">10.5194/gmd-11-1929-2018</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib27"><label>27</label><?label 1?><mixed-citation>Lee, K. O., Flamant, C., Ducrocq, V., Duffourg, F., Fourrié, N., and
Davolio, S.: Convective initiation and maintenance processes of two
back-building mesoscale convective systems leading two heavy precipitation
events in South Italy during HyMeX IOP 13, Q. J. Roy. Meteorol. Soc., 142,
2623–2635, <ext-link xlink:href="https://doi.org/10.1002/qj.2851" ext-link-type="DOI">10.1002/qj.2851</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib28"><label>28</label><?label 1?><mixed-citation>Liu, C. and Zipser, E. J.: Global distribution of convection penetrating
the tropical tropopause, J. Geophys. Res., 110, D23104,
<ext-link xlink:href="https://doi.org/10.1029/2005JD006063" ext-link-type="DOI">10.1029/2005JD006063</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bib29"><label>29</label><?label 1?><mixed-citation>Liu, X. M., Rivière, E. D., Marécal, V., Durry, G., Hamdouni, A., Arteta, J., and Khaykin, S.: Stratospheric water vapour budget and convection overshooting the tropopause: modelling study from SCOUT-AMMA, Atmos. Chem. Phys., 10, 8267–8286, <ext-link xlink:href="https://doi.org/10.5194/acp-10-8267-2010" ext-link-type="DOI">10.5194/acp-10-8267-2010</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib30"><label>30</label><?label 1?><mixed-citation>Machado, L. A. and Chaboureau, J. P.: Effect of Turbulence Parameterization
on Assessment of Cloud Organization, Mon. Weather Rev., 143, 3246–3262,
<ext-link xlink:href="https://doi.org/10.1175/MWR-D-14-00393.1" ext-link-type="DOI">10.1175/MWR-D-14-00393.1</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib31"><label>31</label><?label 1?><mixed-citation>Maddox, E. M. and Mullendore, G. L.: Determination of best tropopause
definition for convective transportation studies, J. Atmos. Sci., 75,
3433–3446, <ext-link xlink:href="https://doi.org/10.1175/JAS-D-18-0032.1" ext-link-type="DOI">10.1175/JAS-D-18-0032.1</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib32"><label>32</label><?label 1?><mixed-citation>
Mason, R. and Anderson, C.: The development and decay of the 100-MB.
Summertime anticyclone over southern Asia, Mon. Weather Rev., 1, 3–12,
1963.</mixed-citation></ref>
      <ref id="bib1.bib33"><label>33</label><?label 1?><mixed-citation>Meyer, J., Rolf, C., Schiller, C., Rohs, S., Spelten, N., Afchine, A., Zöger, M., Sitnikov, N., Thornberry, T. D., Rollins, A. W., Bozóki, Z., Tátrai, D., Ebert, V., Kühnreich, B., Mackrodt, P., Möhler, O., Saathoff, H., Rosenlof, K. H., and Krämer, M.: Two decades of water vapor measurements with the FISH fluorescence hygrometer: a review, Atmos. Chem. Phys., 15, 8521–8538, <ext-link xlink:href="https://doi.org/10.5194/acp-15-8521-2015" ext-link-type="DOI">10.5194/acp-15-8521-2015</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib34"><label>34</label><?label 1?><mixed-citation>Mullendore, G. L., Durran, D. R., and Holton, J. R.: Cross-Tropopause tracer
transport in midlatitude convection, J. Geophys. Res., 110, D06113,
<ext-link xlink:href="https://doi.org/10.1029/2004JD005059" ext-link-type="DOI">10.1029/2004JD005059</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bib35"><label>35</label><?label 1?><mixed-citation>Müller, R.: The performance of classical versus modern finite-volume
advection schemes for atmospheric modelling in a one-dimensional test-bed,
Mon. Weather Rev., 120, 1407–1415, <ext-link xlink:href="https://doi.org/10.1175/1520-0493(1992)120&lt;1407:TPOCVM&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0493(1992)120&lt;1407:TPOCVM&gt;2.0.CO;2</ext-link>,
1992.</mixed-citation></ref>
      <ref id="bib1.bib36"><label>36</label><?label 1?><mixed-citation>Park, M., Randel, W. J., Kinnison, E. J., Garcia, R. R., and Choi, W.:
Seasonal variation of methane, water vapor and nitrogen oxides near the
tropopause: Satellite observations and model simulation, J. Geophys. Res.,
109, D03302, <ext-link xlink:href="https://doi.org/10.1029/2003JD003706" ext-link-type="DOI">10.1029/2003JD003706</ext-link>, 2004.</mixed-citation></ref>
      <ref id="bib1.bib37"><label>37</label><?label 1?><mixed-citation>
Pinty, J. P. and Jabouille, P.: A mixed-phased cloud parametrization for use
in a mesoscale non-hydrostatic model: Simulations of a squall line and of
orographic precipitation, in: Proc. Of the Conference on Cloud Physics,
Amer. Meteorol. Soc, Boston, Everett, WA, USA, 17–21 August,
217–220, 1998.</mixed-citation></ref>
      <ref id="bib1.bib38"><label>38</label><?label 1?><mixed-citation>Randel, W. J. and Park, M.: Deep convective influence on the Asian summer
monsoon anticyclone and associated tracer variability observed with
Atmospheric Infrared Sounder (AIRS), J. Geophys, Res., 111, D12314,
<ext-link xlink:href="https://doi.org/10.1029/2005JD006490" ext-link-type="DOI">10.1029/2005JD006490</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bib39"><label>39</label><?label 1?><mixed-citation>Randel, W. J., Wu, F., Gettelman, A., Russell, J. M., Zawodny, J. M., and
Oltmans, S. J.: Seasonal variation of water vapour in the lower stratosphere
observed in Halogen Occultation Experiment data, J. Geophys. Res., 106,
14313–14325, <ext-link xlink:href="https://doi.org/10.1029/2001JD900048" ext-link-type="DOI">10.1029/2001JD900048</ext-link>, 2001.</mixed-citation></ref>
      <ref id="bib1.bib40"><label>40</label><?label 1?><mixed-citation>Rysman, J. F., Claud, C., Chaboureau, J. P., Delanoë, J., and Funatsu,
B. M.: Severe convection in the Mediterranean from microwave observations
and a convection-permitting model, Q. J. Roy. Meteorol. Soc., 142, 43–55,
<ext-link xlink:href="https://doi.org/10.1002/qj.2611" ext-link-type="DOI">10.1002/qj.2611</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib41"><label>41</label><?label 1?><mixed-citation>Rolf, C., Vogel, B., Hoor, P., Afchine, A., Günther, G., Krämer, M., Müller, R., Müller, S., Spelten, N., and Riese, M.: Water vapor increase in the lower stratosphere of the Northern Hemisphere due to the Asian monsoon anticyclone observed during the TACTS/ESMVal campaigns, Atmos. Chem. Phys., 18, 2973–2983, <ext-link xlink:href="https://doi.org/10.5194/acp-18-2973-2018" ext-link-type="DOI">10.5194/acp-18-2973-2018</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib42"><label>42</label><?label 1?><mixed-citation>
Saunders, R., Hocking, J., Rundle, D., Rayer, P., Matricardi, M., Geer, A.,
Lupu, C., Brunel, P., and Vidot, J.: RTTOV-11 – Science and validation
report, NWP SAF Tech. Rep., 62 pp., 2013.</mixed-citation></ref>
      <ref id="bib1.bib43"><label>43</label><?label 1?><mixed-citation>Shu, C. W. and Osher, S.: Efficient implementation of essentially
non-oscillatory shock-capturing schemes, J. Comput. Phys.,
77, 439–471, <ext-link xlink:href="https://doi.org/10.1016/0021-9991(88)90177-5" ext-link-type="DOI">10.1016/0021-9991(88)90177-5</ext-link>,
1988.</mixed-citation></ref>
      <ref id="bib1.bib44"><label>44</label><?label 1?><mixed-citation>Sitnikov, N. M., Yushkov, V. A., Afchine, A. A., Korshunov, L. I., Astakhov,
V. I., Elanovskii, A. E., Kraemer, M., Mangold, A., Schiller, C., and
Ravegnani, F.: The FLASH instrument for water vapor measurements on board
the high-altitude airplane, Instrum. Exp. Tech., 50, 113–121, <ext-link xlink:href="https://doi.org/10.1134/S0020441207010174" ext-link-type="DOI">10.1134/S0020441207010174</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bib45"><label>45</label><?label 1?><mixed-citation>Smith, J. B., Wilmouth, D. M., Bedka, K. M., Bowman, K. P., Homeyer, C. R.,
Dykema, J. A., Sargent, M. R., Clapp<?pagebreak page11820?>, C. E., Leroy, S. S., Sayres, D. S.,
Dean-Day, J. M., Bui, T. P., and Anderson, J. G.: A case study of
convectively sourced water vapor observed in the overworld stratosphere over
the United States, J. Geophys. Res, 122, 9529–9554,
<ext-link xlink:href="https://doi.org/10.1002/2017JD026831" ext-link-type="DOI">10.1002/2017JD026831</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bib46"><label>46</label><?label 1?><mixed-citation>Tissier, A.-S. and Legras, B.: Convective sources of trajectories traversing the tropical tropopause layer, Atmos. Chem. Phys., 16, 3383–3398, <ext-link xlink:href="https://doi.org/10.5194/acp-16-3383-2016" ext-link-type="DOI">10.5194/acp-16-3383-2016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib47"><label>47</label><?label 1?><mixed-citation>Tzella, A. and Legras, B.: A Lagrangian view of convective sources for transport of air across the Tropical Tropopause Layer: distribution, times and the radiative influence of clouds. Atmos. Chem. Phys., 11, 12517–12534, <ext-link xlink:href="https://doi.org/10.5194/acp-11-12517-2011" ext-link-type="DOI">10.5194/acp-11-12517-2011</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib48"><label>48</label><?label 1?><mixed-citation>Winker, D. M., Vaughan, M. A., Omar, A., Hu, Y., Powell, K. A., Liu, Z.,
Hunt, W. H., and Young, S. A.: Overview of the CALIPSO mission and CALIOP
data processing algorithms, J. Atmos. Ocean. Tech., 26, 2310–2323,
<ext-link xlink:href="https://doi.org/10.1175/2009JTECHA1281.1" ext-link-type="DOI">10.1175/2009JTECHA1281.1</ext-link>, 2009.
</mixed-citation></ref><?xmltex \hack{\newpage}?>
      <ref id="bib1.bib49"><label>49</label><?label 1?><mixed-citation>
WMO: Definition of the tropopause, WMO Bull., 6, 136, 1957.</mixed-citation></ref>
      <ref id="bib1.bib50"><label>50</label><?label 1?><mixed-citation>Wright, J. S., Fu, R., Fueglistaler, S., Liu, Y. S., and Zhang, Y.: The
influence of summertime convection over Southeast Asia on water vapor in the
tropical stratosphere, J. Geophys. Res., 116, D12302,
<ext-link xlink:href="https://doi.org/10.1029/2010JD015416" ext-link-type="DOI">10.1029/2010JD015416</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib51"><label>51</label><?label 1?><mixed-citation>Zöger, M., Afchine, A., Eicke, N., Gerhards, M.-T., Klein, E., McKenna,
D., Mörschel, U., Schmidt, U., Tan, V., Tuitjer, F., Woyke, T., and
Schiller, C.: Fast in situ stratospheric hygrometers: A new family of
balloon-borne and airborne Lyman-photofragment fluorescence hygrometers, J.
Geophys. Res., 104, 1807–1816, <ext-link xlink:href="https://doi.org/10.1029/1998JD100025" ext-link-type="DOI">10.1029/1998JD100025</ext-link>, 1999.</mixed-citation></ref>

  </ref-list></back>
    <!--<article-title-html>Convective hydration in the tropical tropopause layer during the StratoClim aircraft campaign: pathway of an observed hydration patch</article-title-html>
<abstract-html><p>The source and pathway of the hydration patch in the TTL (tropical
tropopause layer) that was measured during the Stratospheric and upper tropospheric
processes for better climate predictions (StratoClim) field campaign
during the Asian summer monsoon in 2017 and its connection to convective
overshoots are investigated. During flight no. 7, two remarkable layers are
measured in the TTL, namely (1) the moist layer (ML) with a water vapour content
of 4.8–5.7&thinsp;ppmv in altitudes of 18–19&thinsp;km in the lower
stratosphere and (2) the ice layer (IL) with ice content up to 1.9&thinsp;eq.&thinsp;ppmv (equivalent parts per million by volume) in
altitudes of 17–18&thinsp;km in the upper troposphere at around 06:30&thinsp;UTC on 8 August to the south of Kathmandu (Nepal). A Meso-NH convection-permitting
simulation succeeds in reproducing the characteristics of the ML and IL. Through
analysis, we show that the ML and IL are generated by convective overshoots that
occurred over the Sichuan Basin about 1.5&thinsp;d before. Overshooting clouds
develop at altitudes up to 19&thinsp;km, hydrating the lower stratosphere of up to 20&thinsp;km with
6401&thinsp;t of water vapour by a strong-to-moderate mixing of the updraughts with
the stratospheric air. A few hours after the initial overshooting phase, a
hydration patch is generated, and a large amount of water vapour (above 18&thinsp;ppmv) remains at even higher altitudes up to 20.5&thinsp;km while the anvil cloud
top descends to 18.5&thinsp;km. At the same time, a great part of the hydrometeors
falls shortly, and the water vapour concentration in the ML and IL decreases due
to turbulent diffusion by mixing with the tropospheric air, ice nucleation,
and water vapour deposition. As the hydration patch continues to travel
toward the south of Kathmandu, tropospheric tracer concentration increases
up to  ∼ 30&thinsp;% and 70&thinsp;% in the ML and IL, respectively. The air
mass in the layers becomes gradually diffused, and it has less and less water
vapour and ice content by mixing with the dry tropospheric air.</p></abstract-html>
<ref-html id="bib1.bib1"><label>1</label><mixed-citation>
Afchine, A., Rolf, C., Costa, A., Spelten, N., Riese, M., Buchholz, B., Ebert, V., Heller, R., Kaufmann, S., Minikin, A., Voigt, C., Zöger, M., Smith, J., Lawson, P., Lykov, A., Khaykin, S., and Krämer, M.: Ice particle sampling from aircraft – influence of the probing position on the ice water content, Atmos. Meas. Tech., 11, 4015–4031, <a href="https://doi.org/10.5194/amt-11-4015-2018" target="_blank">https://doi.org/10.5194/amt-11-4015-2018</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>2</label><mixed-citation>
Bougeault, P. and Lacarrère, P.: Parameterization of orography-induced
turbulence in a meso-beta-scale model, Mon. Weather Rev., 117,
1872–1890, <a href="https://doi.org/10.1175/1520-0493(1989)117&lt;1872:POOITI&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0493(1989)117&lt;1872:POOITI&gt;2.0.CO;2</a>,
1989.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>3</label><mixed-citation>
Chaboureau, J.-P., Cammas, J.-P., Duron, J., Mascart, P. J., Sitnikov, N. M., and Voessing, H.-J.: A numerical study of tropical cross-tropopause transport by convective overshoots, Atmos. Chem. Phys., 7, 1731–1740, <a href="https://doi.org/10.5194/acp-7-1731-2007" target="_blank">https://doi.org/10.5194/acp-7-1731-2007</a>, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>4</label><mixed-citation>
Chaboureau, J.-P. and Coauthors: A midlatitude precipitating cloud database
validated with satellite observations, J. Appl. Meteor. Climatol., 47,
1337–1353, <a href="https://doi.org/10.1175/2007JAMC1731.1" target="_blank">https://doi.org/10.1175/2007JAMC1731.1</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>5</label><mixed-citation>
Chaboureau, J.-P., Richard, E., Pinty, J.-P., Flamant, C. Girolamo, P. Di, Kiemle, C., Behrendt, A., Chepfer, H., Chiriaco, M., and Wulfmeyer, V.: Long-range transport of Saharan dust and
its radiative impact on precipitation forecast: A case study during the
Convective and Orographically-induced Precipitation Study (COPS), Q. J.
Roy. Meteorol. Soc., 137, 236–251, <a href="https://doi.org/10.1002/qj.719" target="_blank">https://doi.org/10.1002/qj.719</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>6</label><mixed-citation>
Colella, P. and Woodward, P. R.: The piecewise parabolic method (PPM) for
gas dynamical simulations, J. Comput. Phys., 54, 174–201,
<a href="https://doi.org/10.1016/0021-9991(84)90143-8" target="_blank">https://doi.org/10.1016/0021-9991(84)90143-8</a>, 1984.
</mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>7</label><mixed-citation>
Cuxart, J., Bougeault, P., and Redelsperger, J. L.: A turbulence scheme
allowing for mesoscale and large-eddy simulations, Q. J. Roy. Meteorol. Soc.,
126, 1–30, <a href="https://doi.org/10.1002/qj.49712656202" target="_blank">https://doi.org/10.1002/qj.49712656202</a>, 2000.
</mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>8</label><mixed-citation>
Dauhut, T., Chaboureau, J. P., Escobar, J., and Mascart, P.: Large-eddy
simulations of hector the convector making the stratosphere wetter, Atmos.
Sci. Lett., 16, 135–140, <a href="https://doi.org/10.1002/asl2.534" target="_blank">https://doi.org/10.1002/asl2.534</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>9</label><mixed-citation>
Dauhut, T., Chaboureau, J. P., Escobar, J., and Mascart, P.: Giga-LES of
hector the convector and its two tallest updrafts up to the stratosphere, J.
Atmos. Sci., 73, 5041–5060, <a href="https://doi.org/10.1175/JAS-D-16-0083.1" target="_blank">https://doi.org/10.1175/JAS-D-16-0083.1</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>10</label><mixed-citation>
Dauhut, T., Chaboureau, J. P., Haynes, P. H., and Lane, T. P: The mechanisms
leading to a stratospheric hydration by overshooting convection, J. Atmos.
Sci., 75, 4383–4398, <a href="https://doi.org/10.1175/JAS-D-18-0176.1" target="_blank">https://doi.org/10.1175/JAS-D-18-0176.1</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>11</label><mixed-citation>
Dessler, A. E. and Sherwood, S. C.: Effect of convection on the summertime
extratropical lower stratosphere, J. Geophys. Res., 109, D23301,
<a href="https://doi.org/10.1029/2004JD005209" target="_blank">https://doi.org/10.1029/2004JD005209</a>, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>12</label><mixed-citation>
Fueglistaler, S., Dessler, A. E., Dunkerton, T. J., Folkins, I., Fu, Q., and
Mote, P. W.: Tropical tropopause layer, Rev. Geophys., 47, RG1004,
<a href="https://doi.org/10.1029/2008RG000267" target="_blank">https://doi.org/10.1029/2008RG000267</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>13</label><mixed-citation>
Funatsu, B. M., Rysman, J. F., Claud, C., and Chaboureau, J. P.: Deep
convective clouds distribution over the Mediterranean region from AMSU-B/MHS
observations, Atmos. Res., 207, 122–135, <a href="https://doi.org/10.1016/j.atmosres.2018.03.003" target="_blank">https://doi.org/10.1016/j.atmosres.2018.03.003</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>14</label><mixed-citation>
Gal-Chen, T. and Somerville, R. C. J.: On the use of a coordinate
transformation for the solution of the Navier-Stokes equations, J. Comput.
Phys., 17, 209–228, <a href="https://doi.org/10.1016/0021-9991(75)90037-6" target="_blank">https://doi.org/10.1016/0021-9991(75)90037-6</a>, 1975.
</mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>15</label><mixed-citation>
Hassim, M. E. E. and Lane, T. P.: A model study on the influence of overshooting convection on TTL water vapour, Atmos. Chem. Phys., 10, 9833–9849, <a href="https://doi.org/10.5194/acp-10-9833-2010" target="_blank">https://doi.org/10.5194/acp-10-9833-2010</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>16</label><mixed-citation>
Highwood, E. J. and Hoskins, B. J.: The tropical tropopause, Q. J. Roy.
Meteorol. Soc., 124, 1579–1604, <a href="https://doi.org/10.1002/qj.49712454911" target="_blank">https://doi.org/10.1002/qj.49712454911</a>, 1998.
</mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>17</label><mixed-citation>
Homeyer, C. R.: Numerical simulations of extratropical tropopause
penetrating convection, J. Geophys. Res.-Atmos., 120, 7174–7188.
<a href="https://doi.org/10.1002/2015JD023356" target="_blank">https://doi.org/10.1002/2015JD023356</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>18</label><mixed-citation>
Homeyer, C. R., Pan, L. L., Dorsi, S. W., Avallone, L. M., Weinheimer, A.
J., O'Brien, A. S., DiGangi, J. P., Zondlo, M. A., Ryerson, T. B., Diskin,
G. S., and Campos, T. L.: Convective transport of water vapor into the lower
stratosphere observed during double-tropopause events, J. Geophys. Res.-Atmos., 119, 10941–10958, <a href="https://doi.org/10.1002/2014JD021485" target="_blank">https://doi.org/10.1002/2014JD021485</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>19</label><mixed-citation>
Homeyer, C. R., McAuliffe, J. D., and Bedka, K. M.: On the development of
above-anvil cirrus plumes in Extratropical convection, J. Atmos. Sci., 74,
1617–1633, <a href="https://doi.org/10.1175/JAS-D-16-0269.1" target="_blank">https://doi.org/10.1175/JAS-D-16-0269.1</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib20"><label>20</label><mixed-citation>
Hoskins, B. J. and Rodwell, M. J.: A model of the Asian summer monsoon, I,
The global scale, J. Atmos. Sci, 52, 1329–1340, <a href="https://doi.org/10.1175/1520-0469(1995)052&lt;1329:AMOTAS&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0469(1995)052&lt;1329:AMOTAS&gt;2.0.CO;2</a>,
1995.
</mixed-citation></ref-html>
<ref-html id="bib1.bib21"><label>21</label><mixed-citation>
Jensen, E., Ackerman, A. S., and Smith, J. A.: Can overshooting convection
dehydrate the tropical tropopause layer?, J. Geophys. Res., 112, D11209,
<a href="https://doi.org/10.1029/2006JD007943" target="_blank">https://doi.org/10.1029/2006JD007943</a>, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib22"><label>22</label><mixed-citation>
Kato, T.: Structure of the band-shaped precipitation system inducing the
heavy rainfall observed over northern Kyushu, Japan on 29 June 1999, J.
Meteor. Soc. Japan, 84, 129–153,
<a href="https://doi.org/10.2151/jmsj.84.129" target="_blank">https://doi.org/10.2151/jmsj.84.129</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib23"><label>23</label><mixed-citation>
Khaykin, S., Pommereau, J.-P., Korshunov, L., Yushkov, V., Nielsen, J., Larsen, N., Christensen, T., Garnier, A., Lukyanov, A., and Williams, E.: Hydration of the lower stratosphere by ice crystal geysers over land convective systems, Atmos. Chem. Phys., 9, 2275–2287, <a href="https://doi.org/10.5194/acp-9-2275-2009" target="_blank">https://doi.org/10.5194/acp-9-2275-2009</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib24"><label>24</label><mixed-citation>
Khaykin, S. M., Engel, I., Vömel, H., Formanyuk, I. M., Kivi, R., Korshunov, L. I., Krämer, M., Lykov, A. D., Meier, S., Naebert, T., Pitts, M. C., Santee, M. L., Spelten, N., Wienhold, F. G., Yushkov, V. A., and Peter, T.: Arctic stratospheric dehydration – Part 1: Unprecedented observation of vertical redistribution of water, Atmos. Chem. Phys., 13, 11503–11517, <a href="https://doi.org/10.5194/acp-13-11503-2013" target="_blank">https://doi.org/10.5194/acp-13-11503-2013</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib25"><label>25</label><mixed-citation>
Khaykin, S. M., Pommereau, J.-P., Riviere, E. D., Held, G., Ploeger, F., Ghysels, M., Amarouche, N., Vernier, J.-P., Wienhold, F. G., and Ionov, D.: Evidence of horizontal and vertical transport of water in the Southern Hemisphere tropical tropopause layer (TTL) from high-resolution balloon observations, Atmos. Chem. Phys., 16, 12273–12286, <a href="https://doi.org/10.5194/acp-16-12273-2016" target="_blank">https://doi.org/10.5194/acp-16-12273-2016</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib26"><label>26</label><mixed-citation>
Lac, C., Chaboureau, J.-P., Masson, V., Pinty, J.-P., Tulet, P., Escobar, J., Leriche, M., Barthe, C., Aouizerats, B., Augros, C., Aumond, P., Auguste, F., Bechtold, P., Berthet, S., Bielli, S., Bosseur, F., Caumont, O., Cohard, J.-M., Colin, J., Couvreux, F., Cuxart, J., Delautier, G., Dauhut, T., Ducrocq, V., Filippi, J.-B., Gazen, D., Geoffroy, O., Gheusi, F., Honnert, R., Lafore, J.-P., Lebeaupin Brossier, C., Libois, Q., Lunet, T., Mari, C., Maric, T., Mascart, P., Mogé, M., Molinié, G., Nuissier, O., Pantillon, F., Peyrillé, P., Pergaud, J., Perraud, E., Pianezze, J., Redelsperger, J.-L., Ricard, D., Richard, E., Riette, S., Rodier, Q., Schoetter, R., Seyfried, L., Stein, J., Suhre, K., Taufour, M., Thouron, O., Turner, S., Verrelle, A., Vié, B., Visentin, F., Vionnet, V., and Wautelet, P.: Overview of the Meso-NH model version 5.4 and its applications, Geosci. Model Dev., 11, 1929–1969, <a href="https://doi.org/10.5194/gmd-11-1929-2018" target="_blank">https://doi.org/10.5194/gmd-11-1929-2018</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib27"><label>27</label><mixed-citation>
Lee, K. O., Flamant, C., Ducrocq, V., Duffourg, F., Fourrié, N., and
Davolio, S.: Convective initiation and maintenance processes of two
back-building mesoscale convective systems leading two heavy precipitation
events in South Italy during HyMeX IOP 13, Q. J. Roy. Meteorol. Soc., 142,
2623–2635, <a href="https://doi.org/10.1002/qj.2851" target="_blank">https://doi.org/10.1002/qj.2851</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib28"><label>28</label><mixed-citation>
Liu, C. and Zipser, E. J.: Global distribution of convection penetrating
the tropical tropopause, J. Geophys. Res., 110, D23104,
<a href="https://doi.org/10.1029/2005JD006063" target="_blank">https://doi.org/10.1029/2005JD006063</a>, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib29"><label>29</label><mixed-citation>
Liu, X. M., Rivière, E. D., Marécal, V., Durry, G., Hamdouni, A., Arteta, J., and Khaykin, S.: Stratospheric water vapour budget and convection overshooting the tropopause: modelling study from SCOUT-AMMA, Atmos. Chem. Phys., 10, 8267–8286, <a href="https://doi.org/10.5194/acp-10-8267-2010" target="_blank">https://doi.org/10.5194/acp-10-8267-2010</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib30"><label>30</label><mixed-citation>
Machado, L. A. and Chaboureau, J. P.: Effect of Turbulence Parameterization
on Assessment of Cloud Organization, Mon. Weather Rev., 143, 3246–3262,
<a href="https://doi.org/10.1175/MWR-D-14-00393.1" target="_blank">https://doi.org/10.1175/MWR-D-14-00393.1</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib31"><label>31</label><mixed-citation>
Maddox, E. M. and Mullendore, G. L.: Determination of best tropopause
definition for convective transportation studies, J. Atmos. Sci., 75,
3433–3446, <a href="https://doi.org/10.1175/JAS-D-18-0032.1" target="_blank">https://doi.org/10.1175/JAS-D-18-0032.1</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib32"><label>32</label><mixed-citation>
Mason, R. and Anderson, C.: The development and decay of the 100-MB.
Summertime anticyclone over southern Asia, Mon. Weather Rev., 1, 3–12,
1963.
</mixed-citation></ref-html>
<ref-html id="bib1.bib33"><label>33</label><mixed-citation>
Meyer, J., Rolf, C., Schiller, C., Rohs, S., Spelten, N., Afchine, A., Zöger, M., Sitnikov, N., Thornberry, T. D., Rollins, A. W., Bozóki, Z., Tátrai, D., Ebert, V., Kühnreich, B., Mackrodt, P., Möhler, O., Saathoff, H., Rosenlof, K. H., and Krämer, M.: Two decades of water vapor measurements with the FISH fluorescence hygrometer: a review, Atmos. Chem. Phys., 15, 8521–8538, <a href="https://doi.org/10.5194/acp-15-8521-2015" target="_blank">https://doi.org/10.5194/acp-15-8521-2015</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib34"><label>34</label><mixed-citation>
Mullendore, G. L., Durran, D. R., and Holton, J. R.: Cross-Tropopause tracer
transport in midlatitude convection, J. Geophys. Res., 110, D06113,
<a href="https://doi.org/10.1029/2004JD005059" target="_blank">https://doi.org/10.1029/2004JD005059</a>, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib35"><label>35</label><mixed-citation>
Müller, R.: The performance of classical versus modern finite-volume
advection schemes for atmospheric modelling in a one-dimensional test-bed,
Mon. Weather Rev., 120, 1407–1415, <a href="https://doi.org/10.1175/1520-0493(1992)120&lt;1407:TPOCVM&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0493(1992)120&lt;1407:TPOCVM&gt;2.0.CO;2</a>,
1992.
</mixed-citation></ref-html>
<ref-html id="bib1.bib36"><label>36</label><mixed-citation>
Park, M., Randel, W. J., Kinnison, E. J., Garcia, R. R., and Choi, W.:
Seasonal variation of methane, water vapor and nitrogen oxides near the
tropopause: Satellite observations and model simulation, J. Geophys. Res.,
109, D03302, <a href="https://doi.org/10.1029/2003JD003706" target="_blank">https://doi.org/10.1029/2003JD003706</a>, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib37"><label>37</label><mixed-citation>
Pinty, J. P. and Jabouille, P.: A mixed-phased cloud parametrization for use
in a mesoscale non-hydrostatic model: Simulations of a squall line and of
orographic precipitation, in: Proc. Of the Conference on Cloud Physics,
Amer. Meteorol. Soc, Boston, Everett, WA, USA, 17–21 August,
217–220, 1998.
</mixed-citation></ref-html>
<ref-html id="bib1.bib38"><label>38</label><mixed-citation>
Randel, W. J. and Park, M.: Deep convective influence on the Asian summer
monsoon anticyclone and associated tracer variability observed with
Atmospheric Infrared Sounder (AIRS), J. Geophys, Res., 111, D12314,
<a href="https://doi.org/10.1029/2005JD006490" target="_blank">https://doi.org/10.1029/2005JD006490</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib39"><label>39</label><mixed-citation>
Randel, W. J., Wu, F., Gettelman, A., Russell, J. M., Zawodny, J. M., and
Oltmans, S. J.: Seasonal variation of water vapour in the lower stratosphere
observed in Halogen Occultation Experiment data, J. Geophys. Res., 106,
14313–14325, <a href="https://doi.org/10.1029/2001JD900048" target="_blank">https://doi.org/10.1029/2001JD900048</a>, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib40"><label>40</label><mixed-citation>
Rysman, J. F., Claud, C., Chaboureau, J. P., Delanoë, J., and Funatsu,
B. M.: Severe convection in the Mediterranean from microwave observations
and a convection-permitting model, Q. J. Roy. Meteorol. Soc., 142, 43–55,
<a href="https://doi.org/10.1002/qj.2611" target="_blank">https://doi.org/10.1002/qj.2611</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib41"><label>41</label><mixed-citation>
Rolf, C., Vogel, B., Hoor, P., Afchine, A., Günther, G., Krämer, M., Müller, R., Müller, S., Spelten, N., and Riese, M.: Water vapor increase in the lower stratosphere of the Northern Hemisphere due to the Asian monsoon anticyclone observed during the TACTS/ESMVal campaigns, Atmos. Chem. Phys., 18, 2973–2983, <a href="https://doi.org/10.5194/acp-18-2973-2018" target="_blank">https://doi.org/10.5194/acp-18-2973-2018</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib42"><label>42</label><mixed-citation>
Saunders, R., Hocking, J., Rundle, D., Rayer, P., Matricardi, M., Geer, A.,
Lupu, C., Brunel, P., and Vidot, J.: RTTOV-11 – Science and validation
report, NWP SAF Tech. Rep., 62 pp., 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib43"><label>43</label><mixed-citation>
Shu, C. W. and Osher, S.: Efficient implementation of essentially
non-oscillatory shock-capturing schemes, J. Comput. Phys.,
77, 439–471, <a href="https://doi.org/10.1016/0021-9991(88)90177-5" target="_blank">https://doi.org/10.1016/0021-9991(88)90177-5</a>,
1988.
</mixed-citation></ref-html>
<ref-html id="bib1.bib44"><label>44</label><mixed-citation>
Sitnikov, N. M., Yushkov, V. A., Afchine, A. A., Korshunov, L. I., Astakhov,
V. I., Elanovskii, A. E., Kraemer, M., Mangold, A., Schiller, C., and
Ravegnani, F.: The FLASH instrument for water vapor measurements on board
the high-altitude airplane, Instrum. Exp. Tech., 50, 113–121, <a href="https://doi.org/10.1134/S0020441207010174" target="_blank">https://doi.org/10.1134/S0020441207010174</a>, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib45"><label>45</label><mixed-citation>
Smith, J. B., Wilmouth, D. M., Bedka,&thinsp;K. M., Bowman,&thinsp;K. P., Homeyer, C. R.,
Dykema, J. A., Sargent, M. R., Clapp, C. E., Leroy, S. S., Sayres, D. S.,
Dean-Day, J. M., Bui, T. P., and Anderson, J. G.: A case study of
convectively sourced water vapor observed in the overworld stratosphere over
the United States, J. Geophys. Res, 122, 9529–9554,
<a href="https://doi.org/10.1002/2017JD026831" target="_blank">https://doi.org/10.1002/2017JD026831</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib46"><label>46</label><mixed-citation>
Tissier, A.-S. and Legras, B.: Convective sources of trajectories traversing the tropical tropopause layer, Atmos. Chem. Phys., 16, 3383–3398, <a href="https://doi.org/10.5194/acp-16-3383-2016" target="_blank">https://doi.org/10.5194/acp-16-3383-2016</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib47"><label>47</label><mixed-citation>
Tzella, A. and Legras, B.: A Lagrangian view of convective sources for transport of air across the Tropical Tropopause Layer: distribution, times and the radiative influence of clouds. Atmos. Chem. Phys., 11, 12517–12534, <a href="https://doi.org/10.5194/acp-11-12517-2011" target="_blank">https://doi.org/10.5194/acp-11-12517-2011</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib48"><label>48</label><mixed-citation>
Winker, D. M., Vaughan, M. A., Omar, A., Hu, Y., Powell, K. A., Liu, Z.,
Hunt, W. H., and Young, S. A.: Overview of the CALIPSO mission and CALIOP
data processing algorithms, J. Atmos. Ocean. Tech., 26, 2310–2323,
<a href="https://doi.org/10.1175/2009JTECHA1281.1" target="_blank">https://doi.org/10.1175/2009JTECHA1281.1</a>, 2009.

</mixed-citation></ref-html>
<ref-html id="bib1.bib49"><label>49</label><mixed-citation>
WMO: Definition of the tropopause, WMO Bull., 6, 136, 1957.
</mixed-citation></ref-html>
<ref-html id="bib1.bib50"><label>50</label><mixed-citation>
Wright, J. S., Fu, R., Fueglistaler, S., Liu, Y. S., and Zhang, Y.: The
influence of summertime convection over Southeast Asia on water vapor in the
tropical stratosphere, J. Geophys. Res., 116, D12302,
<a href="https://doi.org/10.1029/2010JD015416" target="_blank">https://doi.org/10.1029/2010JD015416</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib51"><label>51</label><mixed-citation>
Zöger, M., Afchine, A., Eicke, N., Gerhards, M.-T., Klein, E., McKenna,
D., Mörschel, U., Schmidt, U., Tan, V., Tuitjer, F., Woyke, T., and
Schiller, C.: Fast in situ stratospheric hygrometers: A new family of
balloon-borne and airborne Lyman-photofragment fluorescence hygrometers, J.
Geophys. Res., 104, 1807–1816, <a href="https://doi.org/10.1029/1998JD100025" target="_blank">https://doi.org/10.1029/1998JD100025</a>, 1999.
</mixed-citation></ref-html>--></article>
