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  <front>
    <journal-meta>
<journal-id journal-id-type="publisher">ACP</journal-id>
<journal-title-group>
<journal-title>Atmospheric Chemistry and Physics</journal-title>
<abbrev-journal-title abbrev-type="publisher">ACP</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Atmos. Chem. Phys.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1680-7324</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>

    <article-meta>
      <article-id pub-id-type="doi">10.5194/acp-16-8791-2016</article-id><title-group><article-title>How stratospheric are deep stratospheric intrusions? LUAMI 2008</article-title>
      </title-group><?xmltex \runningtitle{How stratospheric are deep stratospheric intrusions? LUAMI~2008}?><?xmltex \runningauthor{T.~Trickl et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Trickl</surname><given-names>Thomas</given-names></name>
          <email>thomas.trickl@kit.edu</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Vogelmann</surname><given-names>Hannes</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Fix</surname><given-names>Andreas</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-2818-9290</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Schäfler</surname><given-names>Andreas</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-6165-6623</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Wirth</surname><given-names>Martin</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Calpini</surname><given-names>Bertrand</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Levrat</surname><given-names>Gilbert</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Romanens</surname><given-names>Gonzague</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4 aff7">
          <name><surname>Apituley</surname><given-names>Arnoud</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-8821-6348</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4 aff8">
          <name><surname>Wilson</surname><given-names>Keith M.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Begbie</surname><given-names>Robert</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Reichardt</surname><given-names>Jens</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5 aff9">
          <name><surname>Vömel</surname><given-names>Holger</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-1223-3429</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff6">
          <name><surname>Sprenger</surname><given-names>Michael</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Karlsruher Institut für Technologie, Institut für Meteorologie und Klimaforschung, IMK-IFU,<?xmltex \hack{\newline}?> Kreuzeckbahnstr. 19, 82467 Garmisch-Partenkirchen, Germany</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Münchner Str. 20,<?xmltex \hack{\newline}?> 82234 Weßling, Germany</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Aerological Station, Federal Office of Meteorology and Climatology, MeteoSwiss, Chemin de l'Aérologie,<?xmltex \hack{\newline}?> P.O. Box 316, 1530 Payerne, Switzerland</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>RIVM, Antonie van Leeuwenhoeklaan 9, 3721 MA Bilthoven, the Netherlands</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>Richard-Aßmann-Observatorium, Deutscher Wetterdienst, Am Observatorium 12, 15848 Tauche,<?xmltex \hack{\newline}?> Ortsteil Lindenberg, Germany</institution>
        </aff>
        <aff id="aff6"><label>6</label><institution>Eidgenössische Technische Hochschule (ETH) Zürich, Institut für Atmosphäre und Klima,<?xmltex \hack{\newline}?> Universitätstraße 16, 8092 Zürich, Switzerland</institution>
        </aff>
        <aff id="aff7"><label>a</label><institution>now at: KNMI, Utrechtseweg 297, 3731 GA De Bilt, the Netherlands</institution>
        </aff>
        <aff id="aff8"><label>b</label><institution>now at: Kipp en Zonen, Delftechpark 36, 2628 XH Delft, the Netherlands</institution>
        </aff>
        <aff id="aff9"><label>c</label><institution>now at: NCAR EOL FL-1, 3090 Center Green Drive, Boulder, Colorado 80301, USA</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Thomas Trickl (thomas.trickl@kit.edu)</corresp></author-notes><pub-date><day>19</day><month>July</month><year>2016</year></pub-date>
      
      <volume>16</volume>
      <issue>14</issue>
      <fpage>8791</fpage><lpage>8815</lpage>
      <history>
        <date date-type="received"><day>26</day><month>March</month><year>2016</year></date>
           <date date-type="rev-request"><day>13</day><month>April</month><year>2016</year></date>
           <date date-type="rev-recd"><day>11</day><month>June</month><year>2016</year></date>
           <date date-type="accepted"><day>8</day><month>July</month><year>2016</year></date>
      </history>
      <permissions>
<license license-type="open-access">
<license-p>This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/3.0/">http://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions><self-uri xlink:href="https://acp.copernicus.org/articles/16/8791/2016/acp-16-8791-2016.html">This article is available from https://acp.copernicus.org/articles/16/8791/2016/acp-16-8791-2016.html</self-uri>
<self-uri xlink:href="https://acp.copernicus.org/articles/16/8791/2016/acp-16-8791-2016.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/16/8791/2016/acp-16-8791-2016.pdf</self-uri>


      <abstract>
    <p>A large-scale comparison of water-vapour vertical-sounding instruments took
place over central Europe on 17 October 2008, during a rather homogeneous
deep stratospheric intrusion event (LUAMI, Lindenberg Upper-Air Methods
Intercomparison). The measurements were carried out at four observational
sites: Payerne (Switzerland), Bilthoven (the Netherlands), Lindenberg
(north-eastern Germany), and the Zugspitze mountain (Garmisch-Partenkichen,
German Alps), and by an airborne water-vapour lidar system creating a
transect of humidity profiles between all four stations. A high data quality
was verified that strongly underlines the scientific findings. The intrusion
layer was very dry with a minimum mixing ratios of 0 to 35 ppm on its lower
west side, but did not drop below 120 ppm on the higher-lying east side
(Lindenberg). The dryness hardens the findings of a preceding study
(“Part 1”, Trickl et al., 2014) that, e.g., 73 % of deep intrusions
reaching the German Alps and travelling 6 days or less exhibit minimum mixing
ratios of 50 ppm and less. These low values reflect values found in the
lowermost stratosphere and indicate very slow mixing with tropospheric air
during the downward transport to the lower troposphere. The peak ozone values
were around 70 ppb, confirming the idea that intrusion layers depart from
the lowermost edge of the stratosphere. The data suggest an increase of ozone
from the lower to the higher edge of the intrusion layer. This behaviour is
also confirmed by stratospheric aerosol caught in the layer. Both
observations are in agreement with the idea that sections of the vertical
distributions of these constituents in the source region were transferred to
central Europe without major change. LAGRANTO trajectory calculations
demonstrated a rather shallow outflow from the stratosphere just above the
dynamical tropopause, for the first time confirming the conclusions in
“Part 1” from the Zugspitze CO observations. The trajectories qualitatively
explain the temporal evolution of the intrusion layers above the four
stations participating in the campaign.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>The complexity of stratospheric air intrusions into the troposphere has been
investigated with lidar systems in great detail. A lot of information was
obtained from airborne transects (e.g. Browell et al., 1987, 1996, 2001;
Flentje et al., 2005) and ground-based time series (e.g. Ancellet et al.,
1991, 1994; Lamarque et al., 1996; Langford et al., 1996; Langford and Reid,
1998; Eisele et al., 1999; Stohl and Trickl, 1999; Galani et al., 2003; Zanis
et al., 2003; Trickl et al., 2003, 2010; Di Girolamo et al., 2009; Kuang et
al., 2012). Ozone is an excellent tracer for mapping intrusion layers, but
does not allow for the erosion of these layers within the troposphere to be
quantified because one cannot easily resolve the mixing of tropospheric air
into the descending layer. Water vapour is a much better choice for such
investigations, because of the low stratospheric volume mixing ratio of about
5 ppm (e.g. Scherer et al., 2008) and only slightly higher values just above
the tropopause.</p>
      <p>Turbulent mixing has been identified as an important source of tropospheric
air in tropopause folds (Shapiro, 1976, 1978, 1980). About half of the air
mass in a fold has been estimated to be of tropospheric character (Shapiro,
1980; Vogel et al., 2011). Nevertheless, the tropospheric input had never
been quantified along the entire path of the air mass eventually reaching
the lower troposphere. An open question has been how much of the
tropospheric air originates already from the so-called “mixing layer” around
the thermal tropopause (e.g. Danielsen, 1968; Lelieveld et al., 1997;
Hintsa et al., 1998; Zahn et al., 1999, 2014; Fischer et al., 2000; Hoor et
al., 2002, 2004; Pan et al., 2004, 2007; Brioude et al., 2006, 2008; Sprung
and Zahn, 2010; Vogel et al., 2011) prior to the descent and how much of the
admixture occurs during the descent of an intrusion layer into the lower
troposphere. In some cases mixing of polluted or convectively lifted air
into intrusions within the free troposphere has been reported (e.g.
Parrish et al., 2000; Brioude al., 2007; Homeyer et al., 2011; Sullivan et
al., 2016).</p>
      <p>In contrast to the idea of strong tropospheric mixing Bithell et al. (2000)
found in a case study that an extremely dry layer of presumable
stratospheric origin survived in the troposphere without resolvable change
for at least 10 days. Trickl et al. (2014, 2015) verified this behaviour
based on water-vapour measurements during about 80 intrusion cases: in 59 %
of the deep intrusion cases with subsidence times up to 6 days the
minimum relative humidity (RH) was 1 % or less, 1 order of magnitude
smaller than the typical results from in situ measurements with the
dew-point-mirror instrument at the nearby Zugspitze summit (2962 m a.s.l.).
The corresponding mixing ratio of roughly 50 ppm or less is typical of
values found in the “mixing layer” that extends a few kilometres into the
stratosphere.</p>
      <p>Despite this evidence of low free-tropospheric mixing, the ozone number
densities in the same intrusion layers stay significantly below full
stratospheric values. Trickl et al. (2014) conclude that the ozone values
are mostly determined by how far the intrusion layer initially extends into
the stratosphere. They found that CO mixing ratios in deep intrusions rarely
strongly differ from tropospheric values. This implies that the descending
layers depart from the lowest few kilometres above the dynamical tropopause
since fully stratospheric CO values are substantially smaller.</p>
      <p>Trickl et al. (2014) discussed three cases with rather filamentary structure
in order to demonstrate that exceptionally low mixing prevails even for thin
layers. In the follow-up paper presented here, sharing the main part of the
title, we extend that study by analysing a much more homogenous intrusion
layer over a rather large area: The observations took place over a major
part of central Europe during LUAMI (Lindenberg Upper-Air Methods
Intercomparison, in the evening of 17 October 2008; Wirth et al., 2009b).
Quantitative three-dimensional mapping with the DLR (Deutsches Zentrum
für Luft und Raumfahrt) airborne lidar system WALES (Water Vapour Lidar
Experiment in Space) (Wirth et al.,
2009a) around a major part of central Europe is combined with measurements
of ground-based lidar systems, balloon-borne sensors at four stations
forming the four corners of the flight track. Atmospheric transport
modelling shows the development of the descending dry layer between the
stratospheric source region over northern Canada and the Alps and clearly
confirms the ideas of the previous investigation. The campaign constitutes
one of the largest-scale comparisons of water-vapour profiling
instrumentation and verifies a very high quality of all the instruments
contributing. In particular, the first comparison of an airborne and a
ground-based differential-absorption (DIAL) system in the entire free
troposphere was made. Detailed results are given in the Appendix.</p>
</sec>
<sec id="Ch1.S2">
  <title>Methods</title>
<sec id="Ch1.S2.SS1">
  <title>Measurements</title>
<sec id="Ch1.S2.SS1.SSS1">
  <title>DLR airborne lidar system WALES</title>
      <p>For the validation flight the DLR Falcon F20 aircraft was equipped with
WALES, a four-wavelength water-vapour DIAL. The name WALES was chosen in analogy to the core instrument proposed
by DLR for a satellite mission (ESA, 2004). The new instrument design, which
is described in more technical detail in Wirth et al. (2009a), features a
robust, highly compact, and efficient transmitter system, which fulfils all
spectral requirements for a water vapour DIAL. The instrument simultaneously
emits radiation at three wavelengths resonant with H<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O absorption lines
(“on” wavelengths) and at one non-resonant wavelength into the atmosphere
(“off” wavelength), Using this set of wavelengths, chosen in a spectral
interval between 935 and 936 nm, enables to deal with the large dynamic
range of water vapour from the planetary boundary layer to the lower
stratosphere. The final water-vapour profile is derived as a linear
combination of the three profiles weighted with their reciprocal quadratic
uncertainty. Time intervals of 30 s were chosen.</p>
      <p>The HITRAN 2008 data base (Rothman et al., 2009) was used as the source of
spectroscopic parameters. The high accuracy of the line parameters for the
lines selected for the LUAMI flight of 1 to 2 % is verified by the
comparisons presented here. A linear combination of the water-vapour
profiles retrieved for the three “on” wavelengths, weighted by the squared
reciprocal uncertainties is obtained from a statistical analysis of the
H<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O profiles.</p>
      <p>The density profiles along the flight path were obtained by interpolation of
meteorological analysis data (T799L91 resolution; Untch et al., 2006) of the
European Centre for Medium-Range Weather Forecasts (ECMWF) for the
respective location and time. The T799L91 horizontal grid spacing at
mid-latitudes is roughly 25 km, and a 91-level vertical grid up to 0.01 mbar
(about 50 levels up to 200 mbar) is used.</p>
      <p>WALES provided a transfer standard for comparing the performance of the
instruments at the four sites participating in that effort, particularly the
lidar systems. The lidar approach makes possible an improved volume matching
that is an important prerequisite due to the frequently extreme spatial
inhomogeneity of water vapour (Vogelmann et al., 2011, 2015).</p>
</sec>
<sec id="Ch1.S2.SS1.SSS2">
  <title>Payerne instrumentation</title>
      <p>The Swiss aerological station Payerne is located approximately 40 km west to
south-west of the Swiss capital Bern at 46.8130<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N,
6.9437<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E and an altitude of 491 m above mean sea level. It is the
only permanent Swiss upper-air radiosonde station operated by the Swiss
Weather Service, MeteoSwiss, and focuses on the physical processes and
composition of the atmosphere.</p>
      <p>Upper air profiles of pressure, temperature, humidity, wind speed, and
direction are operationally measured at Payerne twice a day, and include
3-hourly visual weather observations with 24 h staffed operation. Ozone
profiles are measured 3 times per week. In situ radiosonde profiling has been
expanded in recent years with ground-based remote sensing profiling
techniques, such as wind profilers, microwave radiometers, a Raman lidar
system, and a GNSS (Global Navigation Satellite System, using GPS, Global Positioning System) receiving antenna to measure
continuously the integrated water-vapour column. All surface and remote
sensing instruments are in close vicinity to the radiosonde station.</p>
      <p>The Raman Lidar for Meteorological Observations (RALMO) is a custom-designed
instrument and has been operated at MeteoSwiss Payerne since August 2008. It
was developed by the Swiss Federal Institute of Technology (EPFL) for
the needs of MeteoSwiss (for details see Dinoev et al., 2013; Brocard et
al., 2013). While other lidar groups (e.g. Leblanc et al., 2008, 2012;
Whiteman et al., 2010) have successfully taken the approach of using large
integration times during night-time (thus avoiding any daytime sunlight
interferences) in order to produce profiles up to the upper troposphere and
lower stratosphere, the aim in Payerne is to make continuous measurements of
tropospheric water vapour at a high temporal resolution during both day and
night. The lidar system uses a frequency-tripled Nd:YAG laser that emits
laser pulses (&lt; 8 ns duration) at a repetition rate of 30 Hz. The
typical energy per pulse at the (vacuum) wavelength of 354.8 nm is around
0.3 J, resulting an average power of approximately 9 W. Before being emitted
in the atmosphere the beam is expanded to a diameter of 140 mm. This ensures
an eye-safe laser beam and reduces beam divergence to 0.1 mrad. Four
telescopes with 0.3 m parabolic mirrors are arranged symmetrically around
the vertical outgoing beam to receive the backscattered photons. The
telescope system has a total aperture equivalent to a telescope of 0.6 m
diameter and a field of view of 0.2 mrad. The narrow field of view together
with narrowband spectral filtering in the receiver allows for daytime operation.
Optical fibres connect the telescope mirrors with a grating polychromator
used to isolate the rotational–vibrational Raman signals of nitrogen and
water vapour (wavelengths of 386.8 and 407.6 nm, respectively). The optical
signals are detected by photomultipliers and acquired by a transient
digitizer. The data are stored at half-hour intervals.</p>
      <p>An ECC ozone sonde was launched at 13:00 CET (12:00 UTC; Central European Time, i.e. UTC <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> 1 h) together with the
operational RS92 radiosonde (Vaisala). Another RS92 sonde was launched at
18:25 CET for the instrument comparison</p>
</sec>
<sec id="Ch1.S2.SS1.SSS3">
  <title>Bilthoven instrumentation</title>
      <p>CAELI (CESAR (Cabauw Experimental Site for Atmospheric Research;
<uri>www.cesar-observatory.nl</uri>) Water Vapour, Aerosol and Cloud Lidar;
Apituley et al., 2009) was set up by RIVM (Rijksinstituut voor Volksgezonheid
en Milieu: National Institute for Public Health and the Environment) as a
high-performance, multi-wavelength Raman lidar. The system is meanwhile
operated by KNMI (Koninklijk Nederlands Meteorologisch Instituut: Royal
Netherlands Meteorological Institute) at the Dutch atmospheric measurement
site CESAR at Cabauw (the Netherlands). During LUAMI, CAELI was placed at the
RIVM compound in Bilthoven (52.12<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 5.20<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E;
5 m a.s.l.). Routine radiosondes are launched from the KNMI station in De
Bilt (WMO code 06260; 52.10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 5.18<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E; 2 m a.s.l.),
less than 2 km away from the lidar.</p>
      <p>The instrument provides profiles of backscatter and extinction coefficients
(<inline-formula><mml:math display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="italic">α</mml:mi><mml:mo>,</mml:mo></mml:mrow></mml:math></inline-formula>respectively), depolarization and water vapour. Data
are collected, suitable as input for retrieving aerosol micro-physical
parameters based on so-called <inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mi mathvariant="italic">β</mml:mi><mml:mo>+</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="italic">α</mml:mi></mml:mrow></mml:math></inline-formula> schemes, i.e. based
on three backscatter and two extinction channels. Tropospheric coverage is
provided, including the boundary layer. Round-the-clock measurements are
possible, including a good daytime performance for the UV N<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> Raman
channel. A 0.57 m diameter far-field receiver doubles the six near-field
detection channels from the 0.15 m near-field telescope. A third telescope
with 2<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> (inch) diameter is used for polarization detection at 532 nm. For the water-vapour measurements presented in this paper, the relevant emission
wavelength of the laser is 355 nm. CAELI nominally emits 10 W at that
wavelength. The system is field deployed in a 20-ft sea container for making
it transportable. The instrument itself, including the electronics is
mounted in a single rugged aluminium frame that can be wheeled in and out of
the container in its entirety. Windows are mounted on the top of the frame,
above the receivers and in ports for the laser beams, to weatherproof the
system and to avoid beam steering problems due to turbulence above the exit.</p>
      <p>The lidar data are ingested at 10 s time resolution and 7.5 m vertical
sampling. The water-vapour profiles are averaged over 15 min, one of them
coinciding with the Falcon overpass on 17 October 2008. The water-vapour
mixing ratio is calculated from the ratio of the 407 and 387 nm signals and
calibrated against the noon radiosonde at De Bilt. Smoothing is applied to
the profile with a range-dependent smoothing length going from high
resolution at low altitudes and progressively lower resolution to the far
range.</p>
</sec>
<sec id="Ch1.S2.SS1.SSS4">
  <title>Lindenberg instrumentation</title>
      <p>The water-vapour Raman lidar RAMSES (Raman lidar for atmospheric moisture
sensing; Reichardt, 2012, 2014; Reichardt et al., 2012, 2014) was installed
at the Richard Aßmann Observatory of the German Meteorological Service in
Lindenberg (east of Berlin) in 2005 (52<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>12<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>31.9<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> N,
14<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>07<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>18.8<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> E). It is housed in a standard air-conditioned
20-foot container. An injection-seeded frequency-tripled Nd:YAG laser serves
as the radiation source. Only third-harmonic radiation at 354.84 nm is
emitted into the atmosphere. Output power is 15 W at 30 Hz pulse repetition
rate. RAMSES is operated with two receiver telescopes simultaneously. A
Cassegrain telescope with 800 mm diameter is non-fibre-coupled to the
far-field receiver, while a 200 mm Newtonian telescope is fibre-coupled to
the near-field receiver. During LUAMI, the detection sections of both
receivers were nearly identical. After the beam collimation, dichroic beam
splitters and interference filters separate the elastically backscattered
light (354.84 nm) and the rotational–vibrational Raman signals of water vapour
(407.6 nm) and of molecular nitrogen (386.8 nm). All optical signals are
recorded with selected photomultiplier tubes. Data acquisition is performed
with Licel analogue and photon-counting transient recorder system.
Measurements were performed only during night-time, measurement products were
water-vapour mixing ratio, and particle backscatter and extinction
coefficients (Engelbart et al., 2006). During the campaign data were prepared
as 10 and 30 min averages. Normally, we present the 30 min data here. For the
comparison with the airborne DIAL, both averaging times were taken.</p>
      <p>At Lindenberg water-vapour profiles are also measured using balloon-borne
in situ sensors. In all, 4 times daily balloon launches with Vaisala RS92
radiosonde take place as well as twice monthly additionally with cryogenic
frost-point hygrometers (CFH; Vömel et al., 2007a). Lindenberg is the
Lead Center for the GCOS Reference Upper-Air Network (GRUAN) of the World
Meteorological Organization. All radiosonde data are processed with special
GRUAN algorithms developed there (Immler et al., 2010; Dirksen et al.,
2014). In addition to the routine ascents a dedicated balloon with an RS92,
CFH, and an EnSci ECC ozone sonde was launched during the campaign to
coincide with the Falcon overflight and the horizontal flight path of the
aircraft was chosen to match the trajectory of the balloon (Fig. 2a).</p>
</sec>
<sec id="Ch1.S2.SS1.SSS5">
  <title>Zugspitze lidar system and in situ data</title>
      <p>The Zugspitze water-vapour DIAL is operated at the Schneefernerhaus
high-altitude research station (UFS; 47<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>25<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>00<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> N,
10<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>58<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>46<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> E) at 2675 m a.s.l., about 8.5 km to the
south-west of IMK-IFU (Karlsruher Institut für Technologie, Institut für Meteorologie und Klimaforschung, Garmisch-Partenkirchen, Germany), and 0.5 km to the
south-west of the Zugspitze summit (2962 m a.s.l.). The full details of this
lidar system were described by Vogelmann and Trickl (2008). It is based on a
powerful tunable narrow-band Ti:sapphire laser system with up to 250 mJ
energy per pulse operated at about 817 nm (here: about 150 mJ) and a
0.65 m diameter Newtonian receiver. Due to these specifications a vertical
range up to about 12 km is reached, almost independent on the time during
the day. A separation of near-field and far-field signals is achieved through a
combination of a beam splitter and a blade in the far-field channel. In this
way the operating range starts below the altitude of the summit station
(2962 m a.s.l.). The vertical resolution chosen in the data evaluation is
dynamically varied between 50 m in altitude regions with good
signal-to-noise ratio and roughly 350 m in the upper troposphere.
Free-tropospheric measurements during dry conditions clearly benefit from
the elevated site outside or just below the edge of the moist Alpine
boundary layer (e.g. Carnuth and Trickl, 2000; Carnuth et al., 2002). After
a few years of testing, validating, and optimizing the system routine
measurements were started in January 2007 with typically 2 measurement
days per week, provided that the weather conditions are favourable.</p>
      <p>On the basis of the comparison with the DLR DIAL a minor deficiency in the
calculation of the spectral line wings could be detected and was corrected.
The choice of spectral line parameters (Ponsardin and Browell, 1997) is
justified by the excellent results (Sect. 3.6). A more recent comparison with
the Zugspitze Fourier transform spectrometer confirmed this performance and
revealed slight discrepancies for some 817 nm lines taken from the HITRAN
(Rothman et al., 2009) data base (Vogelmann et al., 2011). Furthermore, in
that study, a very high importance of volume matching in comparisons of
water-vapour profiling instruments was found (see also Vogelmann et al.,
2015).</p>
      <p>In addition, in situ data from the monitoring station at the Zugspitze
summit are used, namely ozone, carbon monoxide, and relative humidity. Ozone
has been measured since 1978 (e.g. Reiter et al., 1987; Scheel et al.,
1997; Oltmans et al., 2006, 2012; Logan et al., 2012; Parrish et al., 2012).
Recently, ultraviolet absorption instruments have been employed (TE49
analysers, Thermoelectron, USA). Carbon monoxide was measured using
vacuum resonance fluorescence (AL5001, AeroLaser, Germany). RH was
registered with a dew-point mirror (Thygan VTP6, Meteolabor, Switzerland)
with a quoted uncertainty below 5 % RH. However, the instrument has a wet
bias of almost 10 % under very dry conditions (Trickl et al., 2014).</p>
      <p>The tropospheric ozone lidar at Garmisch-Partenkirchen, Germany (IMK-IFU;
47<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>28<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>37<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> N, 11<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>3<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula>52<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> E;
740 m a.s.l.; Kempfer et al., 1994; Carnuth et al., 2002; Eisele and Trickl,
1997, 2005) was out of operation because a computer failure occurred during
the warm-up for the campaign.</p>
</sec>
</sec>
<sec id="Ch1.S2.SS2">
  <title>LAGRANTO model</title>
      <p>In all, 5-day forward trajectories are calculated for the time period from 01:00 CET on 8 October 2008, until 19:00 CET
on 15 October 2010 every 6 h based on the Lagrangian Analysis Tool
(LAGRANTO; Wernli and Davies, 1997; Sprenger and Wernli, 2015). The
three-dimensional wind fields for the calculation of the trajectories were
taken from ERA-Interim data set (Dee et al., 2011) from the ECMWF, which was interpolated to a
longitude–latitude grid with 1<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 1<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> horizontal resolution and provides 6-hourly winds.</p>
      <p>The large set of 5-day trajectories was started in the entire region covering
the Atlantic Ocean and western Europe (20<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E to 120<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W and
40 to 80<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) between 200 and 600 hPa. More precisely, at each grid
point within this domain a forward trajectory was released, which amounts to
about 70 000 trajectories released every 6 h. Then, from this set of
trajectories those initially residing in the stratosphere (potential
vorticity (PV) larger than 2.0 pvu) and descending during the following 5
days by more than 300 hPa into the troposphere were selected as
“stratospheric intrusion trajectories”. Typically, 200–300 trajectories
were selected in this way every 6 h during the period 8 to 15 October 2008.
The same PV and pressure selection criteria were used in a previous case
study (Wernli and Davies, 1997) to study an intrusion associated with a major
North Atlantic cyclone, in daily operational intrusion forecasts for the
former STACCATO (Stohl et al., 2003) observational network (Zanis et al.,
2003; Trickl et al., 2010; maintained to the present day), and was also used
with in a recent study about stratospheric intrusions (Trickl et al., 2014).
The quality of the forecasts was verified by validating them over a period of
5 years (Trickl et al., 2010).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><caption><p>LAGRANTO 5-day forward trajectories from the full set calculated
that fulfil both the deep-STT criterion and a passage above the blue line
along the 65<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W meridian within <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>6 h of 15 October 2008,
00:00 UTC. The pressure level (in mbar) is colour coded. The blue contour
around a major part of central Europe visualizes the flight track of the DLR
Falcon jet from Oberpfaffenhofen (O, south-west of Munich) to the four
stations Payerne (P), Bilthoven (B), Lindenberg (L) and Zugspitze
(Z), and back.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/8791/2016/acp-16-8791-2016-f01.png"/>

        </fig>

<?xmltex \hack{\newpage}?>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Results</title>
<sec id="Ch1.S3.SS1">
  <?xmltex \opttitle{Characterization of the stratospheric air intrusion on 17~October 2008\,s}?><title>Characterization of the stratospheric air intrusion on 17 October 2008 s</title>
      <p>The intrusion was first detected in the routine forecast plot daily sent to
former STACCATO (Stohl et al., 2003) partner stations (Zanis et al., 2003).
Here, in Fig. 1 we give a revised version of that plot, now based on ECMWF
re-analysis meteorological data, and based on the all trajectories
calculated for the period between 8 October 2008, and 19:00 CET on 15 October 2008, fulfilling the criteria for deep stratosphere–troposphere
transport (STT) specified in Sect. 2.2. From these trajectories, Fig. 1 shows
those intersecting the 65<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> meridian between
60 and 75<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N within <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>6 h from 15 October, 01:00 CET. This time was chosen for a maximum horizontal extension
of the trajectory field towards Payerne that occurred during the second half
of 17 October when the measurements took place. The air pressure range of
the main layer over central Europe is roughly 650 to 750 mbar (about
2.5 to 3.7 km), the lower altitudes being found to the south-west, the
higher ones to the north-west of the trajectory bundle, in agreement with
the well-known fold structure transverse to the flow (e.g. Danielsen,
1968).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><caption><p><bold>(a)</bold> Slant view from the north-east of the WALES flight in
the late afternoon of 17 October 2008: P means Payerne (Switzerland), B
Bilthoven (the Netherlands), L Lindenberg (north-eastern Germany), and Z
Zugspitze (Garmisch-Partenkirchen, southern Germany). The flight track (red
line) is shown above the “curtain” of the water-vapour profiles from the
airborne DIAL measurements. The track of the Lindenberg sonde (S) is marked
by a black line. <bold>(b)</bold> Vertical distributions of water vapour (bottom)
and 1064 nm aerosol backscatter ratio (top) along the flight track; the times
of the overflights of the four stations are marked by red vertical lines.</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/8791/2016/acp-16-8791-2016-f02.jpg"/>

        </fig>

      <p>The intrusion arrived over central Europe following a frontal system with
rain that passed over the eastern Alps to the south-east during the
preceding night (not shown). A period of clear weather started, which was associated
with the arrival of a high-pressure zone. The water-vapour images of the
geostationary satellite METEOSAT show just moderate drying after the frontal
passage. A slightly drier, hook-shaped feature arrived over northern Germany in
the morning of October 16. It moved eastward to Poland until the following
day. No indication of the intrusion is seen further to the south. However,
these images are more representative for the upper troposphere. As will be
shown below, the dry intrusion layer proceeded well hidden in a rather moist
middle and lower troposphere.</p>
</sec>
<sec id="Ch1.S3.SS2">
  <title>DLR measurements</title>
      <p>The flight path of the DLR Falcon jet is marked in Fig. 1. Colour-coded
summary plots of the measurements during the flight on 17 October 2008 are
given in the panels of Fig. 2. The flight started at Oberpfaffenhofen (ICAO
(International Civil Aviation Organization) code EDMO) at 16:42 CET. The
aircraft turned to the west and climbed to about 11 km altitude. It first
reached Payerne at 17:18 CET, then Bilthoven at 18:15 CET, Lindenberg at
19:03 CET, and finally Garmisch-Partenkirchen (Zugspitze) at 19:52 CET The
data are most accurate in the upper troposphere, i.e. close to the
aircraft, but are remarkably reliable even in the lower troposphere, where
the lidar signal is much weaker and, thus, noisier. The relative noise level
within the dry layer additionally grew whenever the water-vapour density
above the intrusion was enhanced to an extent that much of the radiation was
absorbed. The lower-tropospheric performance was, thus, the best over
Lindenberg (see Fig. 2) and becomes evident from the comparisons that are
shown in the Appendix, with one exception.</p>
      <p>In the lower panel of Fig. 2 also the backscatter ratio for 1064 nm is
given, i.e. the ratio of the total backscatter coefficient and the Rayleigh
backscatter coefficient. Any value exceeding 1.0 means the presence of
aerosol, and high values around the upper end of the scale can be attributed
to clouds. The data gaps (white areas) are mostly associated with the
presence of clouds at the top of the boundary layer or cirrus clouds and the
corresponding light loss.</p>
      <p>Quite importantly, slightly enhanced aerosol was retrieved in the upper half
of the intrusion layer along the entire flight path. The most reasonable
explanation of this observation would be a downward transport of some of the
enhanced stratospheric aerosol after the violent eruptions of Okmok and
Kasatochi (to 15 and 13.7 km, respectively; Massie, 2015) starting on
12 July 2008 and on 7 August 2008, respectively, which was also registered
with the stratospheric aerosol lidar at Garmisch-Partenkirchen (Trickl et
al., 2013), up to about 19 km in October 2008. More information on this
remarkable observation can be found in some of the following
sections.</p>
</sec>
<sec id="Ch1.S3.SS3">
  <title>Payerne</title>
      <p>During the hours of the LUAMI campaign Payerne was located close to the
western edge of the intrusion layer (Fig. 1). Nevertheless, the time series
of the Raman lidar (Fig. 3a) verifies the presence of a very dry
layer between 2 and 3 km during the entire period displayed, starting at
13:45 CET. The driest period with mixing ratios of 35 to 65 ppm started at
about 17:30 CET (Fig. 3b); 50 ppm is a typical value as found in
the tropopause region (Trickl et al., 2014). The relative uncertainties of
the minimum mixing ratios specified for the period before 17:00 CET are 7 to
19 %, after 17:00 CET 5 to 9 %.</p>
      <p>The presence of stratospheric air is confirmed by the 13:00 CET ozone
profile (Fig. 4) that exhibits a 76.2 ppb maximum at 3.2 km, residing on a
background of roughly 50 ppb. It is interesting to note that the
corresponding RH minimum is downward shifted by about 0.3 km. The midnight
(00:00 UTC or 01:00 CET) RH minimum was 1 %, presumably a truncation value
(Trickl et al., 2014). This low value is in agreement with the drier
situation revealed by RALMO for the night.</p>
</sec>
<sec id="Ch1.S3.SS4">
  <title>Bilthoven</title>
      <p>The time series of the CAELI system is depicted in Fig. 5. The noise at
early times is due to clouds passing over the lidar. Two dry layers are
visible. However, the minimum mixing ratios are of the order of 500 ppm
(Fig. 6), which is beyond typical values in the lowermost stratosphere. By
contrast, the noon sonde measurement at De Bilt (KNMI) (Fig. 6), as in the
case of Payerne, shows the typical low-humidity cut-off at 1 % RH (about
70 ppm). Even 70 ppm are, again, within the range of values frequently found
just above the tropopause. It seems that at the time of the lidar
measurements in Fig. 5, the driest part of the intrusion was already over.
Around midnight, the intrusion layer had almost disappeared as can be
concluded from the 24:30 CET sonde measurement.</p>
      <p>The two lidar systems agree well in a range up to 8 km (Fig. 6). There are
just a few exceptions outside the specified uncertainties most likely due to
insufficient spatial matching, or far-field detection of the DLR lidar. The
agreement with the sonde data is not satisfactory due to the considerable
time differences, except for the range between 3.2 and 7 km in the midnight
profile.</p>
      <p>In addition, a profile from the ECMWF analysis is shown. Outside the dry
layers the agreement is reasonable, but just one of the two layers seen in
the measurements is indicated. Another example can be found in the Appendix
(Payerne, Fig. A1).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><caption><p><bold>(a)</bold> Water-vapour time series of RALMO on 17 October 2008;
the time of the aircraft overflight (17:18 CET) is marked by a red vertical
line. The figure is based on 0.5 h averages, the times being centred in the
respective measurement interval. Before 18:15 CET the residual daylight
background prevented measurements beyond the lower free troposphere.
<bold>(b)</bold> Time series of the water-vapour minimum in the stratospheric
intrusion layer on 17 October 2008, as recorded by RALMO, and the
corresponding altitude; the time of the aircraft overflight (17:18 CET) is
marked by a red vertical line. The figure is based on 0.5 h averages, the
times being centred in the respective measurement interval.</p></caption>
          <?xmltex \igopts{width=312.980315pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/8791/2016/acp-16-8791-2016-f03.png"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS5">
  <title>Lindenberg</title>
      <p>During the campaign the lidar data of RAMSES were prepared as 10 min and
30 min averages. The time series of the 30 min data are shown in the upper
panel of Fig. 7, also using some 10 min data next to the data gaps. The
measurements were continued until 06:00 CET on 18 October. During the period
displayed the intrusion layer became continually thinner. The data do not
exhibit a single minimum of the mixing. In the lower panel of Fig. 7, we,
therefore, show the minimum values for the two driest zones in the upper
panel separately. The minimum mixing ratios retrieved are 120 ppm, which is,
still, in some agreement with conditions inside the “mixing layer” of the
tropopause region (Trickl et al., 2014), but clearly higher than the minima
observed at the other sites. The relative uncertainties of the RAMSES mixing
ratios specified in the vertical range around the intrusion are just a few
per cent.</p>
      <p>The ozone profile measured by the balloon payload launched at 18:44 CET is
shown in Fig. 8. Quite interestingly, the highest ozone peak (75 ppb) was
observed at the upper end of the dry layer at an altitude of about 5.5 km,
although just 0.1 km above the RH minimum (5 %). This is in agreement
with the idea that the ozone rise in the lowermost stratosphere of the
Arctic source region was transferred to Lindenberg without major change,
assuming low interference by tropospheric air during the transport (Trickl
et al., 2014). A similar behaviour is indicated for Payerne in Fig. 4.</p>
      <p>The ozone structure above 6 km is not clear. There is an obvious
anti-correlation of ozone and RH indicating stratospheric influence.
However, the elevated RH values could indicate mixing with tropospheric air.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><caption><p>Sonde ozone and relative-humidity profiles above Payerne on
17 October 2008; the times are launch times.</p></caption>
          <?xmltex \igopts{width=213.395669pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/8791/2016/acp-16-8791-2016-f04.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><caption><p>Water-vapour time series of CAELI on 17 October 2008 (Bilthoven);
the time of the aircraft overflight (18:16 CET) is marked by a red vertical
line. In the graph, only the data from the far-field receiver are shown
(above 1.7 km). The profiles are shown at the full native resolution of
10 s and 7.5 m.</p></caption>
          <?xmltex \igopts{width=227.622047pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/8791/2016/acp-16-8791-2016-f05.png"/>

        </fig>

      <p>In Fig. 9a the colour-coded plot of the water-vapour mixing ratio, derived from
the radiosonde ascents at Lindenberg between 14 and 23 October, is shown. The
plot benefits from the 6 h intervals between the launches at
Lindenberg, shorter than the conventional 12 h. If one neglects
uncertainties due to the graphical procedure applied, there is a strong hint
on a direct connection of the dry layer to the stratosphere during the first
half of 17 October (Julian day 291) that is also indicated in the upper
panel of Fig. 7. The transverse drift of the fold away from Lindenberg is
confirmed by the model calculations (Sect. 3.7).</p>
      <p>The aerosol backscatter coefficients derived from the 354.84 nm RAMSES
measurements are rather noisy due to the very strong contribution from
Rayleigh backscattering at this short wavelength. Nevertheless, a small
spike (backscatter ratio 1.05) is seen in the profile next to the DLR
overflight at 5.08 km (not shown), residing on a broader pedestal between
3.8 and 5.2 km. This structure is in good agreement with the WALES results
(Fig. 2). The result of a 3-h average is shown further below (Sect. 3.6).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6"><caption><p>Comparison of the water-vapour mixing ratio from the CAELI Raman
lidar (18:23 CET, i.e. 15 min average between 18:15 and 18:30) and the
airborne lidar (18:15 CET) at Bilthoven; the mixing ratios from the routine
noon and midnight measurement at De Bilt (station code 6260) are given for
comparison. The noon profile reveals a much more pronounced stage of the
intrusion than the lidar data. In addition, the humidity result from a
high-resolution ECMWF analysis for the time of the aircraft arrival is shown,
again just indicating the intrusion layers (one of the two). The times for
the lidar systems refer to the middle of a measurement, for the sonde the
launch time (LT) was taken.</p></caption>
          <?xmltex \igopts{width=199.169291pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/8791/2016/acp-16-8791-2016-f06.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><caption><p><bold>(a)</bold> Water-vapour time series of RAMSES on 17 October 2008
(Lindenberg); the time of the aircraft overflight (19:03 CET) is marked by a
red vertical line. <bold>(b)</bold> Time series of the two water-vapour minima in
the stratospheric intrusion layer on 17 October 2008, as recorded by RAMSES,
and the corresponding altitude; the time of the aircraft overflight
(19:03 CET) is marked by a red vertical line. The figure is based on 0.5 h
averages, the times being centred in the respective measurement interval.</p></caption>
          <?xmltex \igopts{width=312.980315pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/8791/2016/acp-16-8791-2016-f07.png"/>

        </fig>

<?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S3.SS6">
  <title>Zugspitze</title>
      <p>On 17 October 2008 a total of five measurements with the water-vapour DIAL
at UFS were made between 16:55 and 20:55 CET. Figure 10 gives an overview of
the profiles. The data are given as number densities, which is the primary
quantity measured by DIAL systems (not requiring the additional use of sonde
data). During that time period the intrusion layer descended by about 0.6 km. The minimum densities ranged between <inline-formula><mml:math display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn>7.7</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mn>19</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math 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>
(the negative value being caused by data noise) and <inline-formula><mml:math display="inline"><mml:mrow><mml:mn>7.9</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mn>20</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math 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> m<inline-formula><mml:math 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>, with a standard
deviation of <inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">7</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mn>20</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math 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> (corresponding to a mixing ratio of roughly 37 ppm). The figure
suggests that the intrusion cut a descending dry hole into a triangular
humid distribution that was gradually restored, as indicated by the growing
peak density.</p>
      <p>The noon and midnight RH profiles of the Munich (Oberschleißheim, WMO
station 10868, 100 km roughly to the north) sonde type RS92 extend the
range of descent over southern Bavaria to 3.9 km (thick red arrow in Fig. 10) <inline-formula><mml:math display="inline"><mml:mo>→</mml:mo></mml:math></inline-formula> 2.78 km. Because of the complexity of Fig. 10 we do not include
the corresponding H<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O density profiles there. We used high-resolution
data received from the German Weather Service (DWD). In this data set, all
four minima for Munich and Stuttgart between noon and midnight reach the
cut-off value of 1 % RH. The situation seems to differ from that in
Lindenberg: the tropopause for the preceding ascent (01:00 CET on 17 October)
does not exhibit a strong lowering and the RH values are rather high
throughout the troposphere. However, the time difference of 12 h is too long
to be absolutely sure about excluding a direct connection of the dry layer
to the stratosphere over southern Germany.</p>
      <p>It is interesting to note that, despite uncertainties of the sonde results,
the value of 1 % RH has been found to be quite typical in the routine
analyses of STT events at Garmisch-Partenkirchen since 2007. This value is
clearly dominating for low to moderate travel times. For subsidence times
beyond 10 days, the RH minima may grow to 2–6 %. In the current study 1 % RH was consistently observed in the sonde data in the vicinity of all
sites involved but Lindenberg, where also the lidar minima are slightly
higher.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8"><caption><p>Ozone and RH profiles during the sonde ascent launched at Lindenberg
at 18:44 CET; for the RH of the RS92 sonde the final GRUAN data product was
taken.</p></caption>
          <?xmltex \igopts{width=221.931496pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/8791/2016/acp-16-8791-2016-f08.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9"><caption><p>Time series of the water-vapour mixing ratio over Lindenberg during
the period between 14 (Julian day 288) and 23 (Julian day 297) October 2008;
this figure was derived from radiosonde ascents at intervals of 6 h. The
mean flight times (in UTC) are marked by arrows. The thermal tropopause is
indicated by a black line. The intrusion examined in this study is visible on
Julian days 291 (17 October) and 292. The graphics indicate the passage of a
major part of the tropopause fold over Lindenberg.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/8791/2016/acp-16-8791-2016-f09.png"/>

        </fig>

      <p>The Zugspitze in situ measurements showed a drop in relative humidity right
after the end of the lidar comparison in agreement with further descent of
the dry layer (Fig. 11). The minimum half-hour average, 7.2 %, was not
reached before 01:00 CET, which indicates considerable slowing of the
subsidence. A pronounced ozone rise to more than 73.3 ppb was found that
started 4 h later than the beginning of the humidity drop. Both the
peak ozone value and the delay are in agreement with the findings for Payerne
and Lindenberg where, within the intrusion layer, an ozone rise towards
higher altitudes was found. This observation must be considered in future
data-filtering efforts of the half-hour averages for quantifying the
stratospheric fraction of the Zugspitze ozone as described by Trickl et
al. (2010). Carbon monoxide stayed above 110 ppb, which is rather typical
and, again, indicates that the air mass originates just in the tropopause
region (Trickl et al., 2014). Fully stratospheric CO values are substantially
lower.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10"><caption><p>Water-vapour profiles from the measurements of Zugspitze DIAL on
17 October 2008; the red arrow marks the vertical position of the RH minimum
(1 %) from the noon “Munich” radiosonde, observed during the ascent at
11:56 CET. The grey dashed line marks a mixing ratio of 100 ppm as
determined from the same sonde ascent. In addition, a density profile for
75 % RH is given for a crude comparison (Munich, 13:00 CET). The
corresponding profile for the following midnight shows significantly higher
RH below 4.5 km since the intrusion had subsided to 2.78 km and, therefore,
is not included here.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/8791/2016/acp-16-8791-2016-f10.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F11"><caption><p>Zugspitze in situ measurements of ozone, carbon monoxide and
relative humidity on 17–19 October 2008; the stratospheric layer is clearly
visible in the H<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O and O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> data, but there is no significant hint in
the CO curve.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/8791/2016/acp-16-8791-2016-f11.png"/>

        </fig>

      <p><?xmltex \hack{\newpage}?>As in the 1064 nm measurements of WALES aerosol the UFS measurements show
aerosol in the upper half of the intrusion layer, with a peak 817.2 nm
backscatter coefficient of about <inline-formula><mml:math display="inline"><mml:mrow><mml:mn>1.47</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math 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 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>
(Fig. 12; the corresponding backscatter ratio is 1.76). The aerosol
structure could be so clearly detected by both DIAL systems because of the
low noise of the rather small Rayleigh background at the long wavelengths
used. We show two examples, one profile in the late afternoon (16:55 CET)
that contains the entire aerosol peak centred at 3.57 km, but ending below a
cirrus layer, and another profile around the time of the comparison when the
aerosol peak was located at the lower edge of the useful range of the
backscatter profile. The second profile was also evaluated in the
stratosphere and shows two peaks of the volcanic eruptions (at about 12.7
and 16.2 km), in addition to the stratospheric background that extended from
the tropopause to about 25 km during the background phase preceding the
eruptions (Trickl et al., 2013). The stratospheric peaks are considerably
smaller than the peak inside the intrusion layer because of the much lower
atmospheric density. This explanation assumes that a comparable aerosol
density was also present over the source region, which looks reasonable many
months after the eruptions. However, full homogeneity was not reached as
seen in the figure and as was discernible in the aerosol profiles of the
DIAL that varied from hour to hour on that day. In the lower panel of Fig. 12 an expanded section of the profile for 17:02 CET is given, together with
the corresponding water-vapour profile rescaled to fit into the plot window.
As already concluded from Fig. 2, the aerosol peaks in the upper half of the
intrusion layer, where also the lowest humidity is found. This resembles the
behaviour of the ozone distribution at Payerne and Lindenberg.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F12"><caption><p><bold>(a)</bold> 817.2 nm aerosol backscatter coefficients for two of
the measurements at UFS on 17 October 2008; the two spikes between 3 and
4 km are located inside the intrusion layer at these times. For comparison,
a 354.84 nm profile from a 3 h average of RAMSES measurements around the
time of the DLR overflight of Lindenberg is shown, rescaled for 817.2 nm.
Here, the corresponding aerosol peak was detected at about 5 km. In the
stratosphere two volcanic aerosol layers related to the Okmok and Kasatochi
eruptions are seen. <bold>(b)</bold> Vertically zoomed 16:55 CET measurements at
UFS: 817.2 nm backscatter coefficients and water-vapour density, scaled to
fit horizontally into the frame.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/8791/2016/acp-16-8791-2016-f12.png"/>

        </fig>

      <p>In addition, the 3 h average for Lindenberg around the overflight time is
inserted into the upper panel in grey colour. The curve is rescaled by
multiplying the values with 354.84/817.2 according to a <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">λ</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn>1.4</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>
Ångström law guessed from the curves of Jäger and Deshler (2002)
for the wavelength dependence of the backscatter coefficients. The
Lindenberg aerosol peak inside the intrusion is located at 4.97 km
(<inline-formula><mml:math display="inline"><mml:mrow><mml:mn>2.3</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math 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 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>, backscatter ratio 1.05), i.e.
slightly downward shifted due to the long averaging. The tropopause above
Lindenberg was at just 10.1 km, which explains the lower position of the
lower volcanic layer just above this altitude.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F13" specific-use="star"><caption><p>Right panels: intrusion trajectories (black lines) intersecting a
vertical control surface (green line) above northern Canada at three
different times; left panels: intersection points of the trajectories on the
control surface (see text); the blue contour lines are isentropes (in K).</p></caption>
          <?xmltex \igopts{width=364.195276pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/8791/2016/acp-16-8791-2016-f13.png"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS7">
  <title>Transport modelling</title>
      <p>The 5-day trajectories were released and preselected for deep subsidence from
the lowermost stratosphere as described in Sect. 2.2. In the next step, cross
sections transverse to the flow were prepared at a number of locations
between Canada and the Alps. Examples for four of the locations are shown
here. The PV contours (in colour), isentropes (as blue contour lines), the
interpolation points of the individual trajectories closest in time (within
<inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>6 h) to the cross sections (yellow dots), and the points of
intersection of the trajectories (magenta dots) are displayed. The cross
sections allow the
position of the air parcel to be seen relative to the dynamic tropopause
(2 pvu isosurface) and highlight their way down from the stratosphere to the
lower troposphere. Note that all trajectories calculated, i.e. starting
between 8 and 15 October and fulfilling the deep-intrusion criteria in
Sect. 2.2, contribute to the cross sections.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F14" specific-use="star"><caption><p>Right panel: intrusion trajectories (black lines) intersecting a
vertical control surface (green line) above the west coast of Greenland at
three different times; left panel: intersection points of the trajectories on
the control surface (see text); the blue contour lines are isentropes (in
K).</p></caption>
          <?xmltex \igopts{width=364.195276pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/8791/2016/acp-16-8791-2016-f14.png"/>

        </fig>

      <p>The temporal development of the tropopause and positions of the trajectories
as they cross a first vertical surface (along 80<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W, green
line) north of Hudson's Bay are shown in Fig. 13. The figure
shows three examples selected from the full time period 14 October, 06:00 UTC,
to 15 October, 12:00 UTC, representing the phase of the highest trajectory
density at this cross section and the first indication of diminishing. The
trajectories (black lines) are shown in the right panels.</p>
      <p>At the location of the transverse surface of Fig. 13, the tropopause is only
slightly distorted toward lower altitudes, during the entire period covered.
The beginning of the trajectories selected by the deep-STT criterion stays
east of 100<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W, i.e. well inside the model domain. This
means that the chosen control surface is close to the true beginning of the
intrusion. The tropopause is located clearly below the minimum pressure
level of 200 mbar. Please, note that the trajectories concentrate not far
from the 2 pvu surface. This nicely confirms the conclusion of Trickl et al. (2014)
from the rather high Zugspitze CO values in intrusions (see also Fig. 11) that the intrusions emerge from a shallow layer just above the dynamical
tropopause.</p>
      <p>In the next cross section farther downstream (50<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W, Fig. 14), already a fully developed tropopause fold is seen. The highest
trajectory density in the vicinity of this cross section was found between
06:00 and 18:00 UTC on 15 October. Here, we select the situation for 12:00 UTC
as an example for which also the lowest position (about 520 mbar) of the
2 pvu contour and the most pronounced westward extension of the intrusion
over central Europe (corresponding to the most pronounced dryness over
Payerne) were obtained. It is interesting to note that for the entire 12 h
period of maximum stratospheric density, the trajectories intersect the
control surface above the centre of the fold. The lowest deviation from the
centre was found for 06:00 UTC.</p>
      <p>The best coincidence with the next transverse surface at 30<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W (western Iceland, not shown) was calculated for the period 18:00 to
24:00 UTC on 15 October, the lowest position of the dynamical tropopause (about
500 mbar) occurring at 06:00 UTC on 16 October. However, at this time the
trajectory dots were positioned even fully above the fold.</p>
      <p>The next surface was selected from 50<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 0<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E to 54<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 20<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, approximately
representing Bilthoven and Lindenberg (shifted less than 1<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> to the north). In Fig. 15 we
show the panels for 12:00 to 24:00 UTC on 17 October. The trajectories cover Bilthoven in the first two right panels, but
move eastward towards midnight. This is in qualitative agreement (though
slightly later) with the rising minimum humidity in the observations. Over
Lindenberg, the trajectories seem to confirm the extended vertical range
(roughly 800 to 600 mbar) seen in the lidar measurements. In addition, the
sequence of panels shows an eastward propagation of the fold along the
control surface, in agreement with the radiosonde measurements shown in Fig. 9.</p>
      <p>The trajectories in Fig. 15 pass east of Payerne. Those covering Payerne
reach the coastal area 6–18 h earlier (not shown).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F15" specific-use="star"><caption><p>Right panels: intrusion trajectories (black lines) intersecting a
vertical control surface (green line) along the coast of the Netherlands,
Germany, and Poland at three different times; left panels: intersection
points of the trajectories on the control surface (see text); the blue
contour lines are isentropes (in K).</p></caption>
          <?xmltex \igopts{width=364.195276pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/8791/2016/acp-16-8791-2016-f15.png"/>

        </fig>

      <p>Finally, a cross section slightly north of the Alps (44.5<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 2<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E to 51<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 18<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) was
prepared (Fig. 16), almost exactly hitting Payerne and passing
0.9<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>north of Garmisch-Partenkirchen/Zugspitze. We cut off
the cross section to the north-east, not reaching the end of the intrusion.
This decision was made because a number of stratospheric trajectories from
outside the trajectory field in Fig. 1 (not intersecting the first control
surface at 80<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W) are located there and adds complexity.
Thus, we cannot judge if the layer starts to detach from the fold. In any
case, the radiosonde measurements at Payerne and Munich do not indicate a
connection of the intrusion layer to the stratosphere as in the case of Fig. 9. However, the radiosonde ascents at these stations took place at longer
intervals of 12 h, perhaps too coarse to see more details.</p>
      <p>In Fig. 16 we give three examples of model calculations again for 12:00 to
24:00 UTC on 17 October. During this time the best overlap of the trajectories
with Payerne is found, in agreement with the growing dryness observed during
this period. Due to the cut-off towards the north-east (mentioned above) the
trajectory dots do not reach the high-PV contours, which is the case for a
longer control surface.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F16" specific-use="star"><caption><p>Right panels: intrusion trajectories (black lines) intersecting a
vertical control surface (green line) north of the Alps at three different
times; left panels: intersection points of the trajectories on the control
surface (see text); the blue contour lines are isentropes (in K).</p></caption>
          <?xmltex \igopts{width=364.195276pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/8791/2016/acp-16-8791-2016-f16.png"/>

        </fig>

      <p>It is obvious that the trajectory dots in the cross sections downstream the
intrusion exhibit a higher spread. To some extent this is ascribed to the
higher temporal jitter and to additional stratospheric contributions from
outside the main descending air stream. There is not a perfect matching of
the dots with the vertical contour of the fold for the earlier times. Later,
during the driest phase observed over Payerne (lower two panels), there is a
better agreement of the central axes. However, the trajectories for the
beginning of 18 October no longer horizontally overlap with the Swiss
station as can been judged by comparing the green bars in the right panels
of Fig. 16.</p>
</sec>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <title>Discussion and conclusions</title>
      <p>There is growing evidence that ozone injection from the stratosphere is very
likely a much stronger source of tropospheric ozone than frequently thought
(e.g. Roelofs and Lelieveld, 1997; Trickl et al., 2010, 2011, 2014).
However, a quantification of STT remains a difficult task. The results
presented in this paper, together with the findings of the preceding studies
(Trickl et al., 2014, 2015), are an important prerequisite on the way to
quantifying STT based on observational data alone, at least at a few
suitable stations: the low concentrations of water vapour found in most deep
stratospheric intrusions examined suggest that the intrusion layers reach
high-lying atmospheric observatories with rather little modification during
the transport. Thus, the long-term observations of ozone, RH and <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup></mml:math></inline-formula>Be at
these stations can, therefore, yield a reasonable estimate of the impact of
STT at these sites (Stohl et al., 2000). Based on data filtering Scheel (2005) estimated of the annual fraction of STT ozone and the 1978–2010 trend
in the Zugspitze ozone related to STT. A revision of this effort is now
planned, based on the methods derived by Trickl et al. (2010). Still, an
approach of treating the initial tropospheric component of the air mass in
the tropopause region must be developed (Trickl et al., 2014).</p>
      <p>As pointed out in the earlier paper (Trickl et al., 2014) the detection of
low free-tropospheric mixing means a considerable challenge for atmospheric
modelling, particularly for narrow layers. As demonstrated by Roelofs et
al. (2003), a very high spatial resolution is required for obtaining
reasonable trace-gas distributions. Limitations in Eulerian models are
imposed by numerical diffusion (Rastigejev et al., 2010).</p>
      <p>The LUAMI measurements on 17 October 2008 have made a thorough
comparison of different high-quality instruments for water-vapour sounding possible,
in particular the CFH sonde, differential-absorption, and Raman lidar
systems. The airborne lidar served as a transfer standard. With respect to
the intercomparison of the instruments, the following main conclusions can
be drawn:
<list list-type="bullet"><list-item>
      <p>Apart from a generally excellent mutual agreement of the systems a high
capability of determining very low humidity levels was verified such as
those needed in the current study. The RS92 radiosonde (e.g. Miloshevich et
al., 2006; Vömel et al., 2007b; Steinbrecht et al., 2008; Dirksen et
al., 2014) was verified to reproduce RH values around 1 % indicating a
capability of resolving even lower values. The ground-based lidar systems
were found to resolve significantly lower humidity in the deep stratospheric
air intrusions since these layers are measured at relatively short
distances.</p></list-item><list-item>
      <p>The campaign was to a major extent based on lidar measurements. Lidars are
ideal due to the important (Vogelmann et al., 2011, 2015) advantage of volume
matching and of producing dense time series. Since the airborne DIAL provided
information of the spatial structure of water vapour also the quality of the
balloon-borne instruments could be judged. At Lindenberg the spatial matching
of WALES and the balloon was particularly good since the aircraft flew along
the wind direction.</p></list-item><list-item>
      <p>The signal of Raman lidar systems (Payerne, Bilthoven, and Lindenberg) is
proportional to the H<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O density divided by the square of distance. As a
consequence, these systems are advantageous for measurements under very dry
conditions, at least during night-time. Without a noisy solar background the
humidity determined from Raman lidar systems is positive from its very
principle since each signal photon is caused by backscattering of the laser
radiation by H<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O. At least after 18:00 CET on 17 October the
measurements of the Raman lidar systems are invaluable for this study since
they yield very reliable values for the humidity minima in the intrusion
layer above the respective site (uncertainty: roughly 5 ppm H<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O).</p></list-item><list-item>
      <p>The water–vapour data of DIAL systems in dry layers are noisy at all times
since they are based on absorption measurements in a noisy backscatter
signal. Under very dry conditions the noise can lead to pointwise negative
humidity values. However, as concluded previously (Trickl et al., 2014), the
comparisons confirmed that also DIAL systems can rather reliably determine
low values: As found by Trickl et al. (2014), the minimum uncertainty of the
ground-based Zugspitze DIAL in dry layers in the lower free troposphere
under optimum conditions is of the order of 25 ppm (roughly <inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">5</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mn>20</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math 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> as to density, or 0.5 % RH).</p></list-item></list>
With respect to the dynamics of the intrusion some interesting findings
could be found based on the measurements and the modelling study. In
particular, the observations, carried out in a rather wide region, together
with the model calculations have led to a thorough characterization of the
intrusion. The cross sections prepared with LAGRANTO trajectories nicely
show the development of the main intrusion layer from the source region in
arctic Canada on its way to the Alps. The main conclusions are
<list list-type="bullet"><list-item>
      <p>The minimum water-vapour mixing ratios observed above most sites
participating were clearly below 100 ppm during the driest periods, the
lowest values having been about 35 ppm (Payerne) or less (Zugspitze). The
dryness above Payerne is a remarkable fact since this station was close to
westernmost edge of the intrusion. The low values harden the conclusions of
Trickl et al. (2014) that significant mixing of the stratospheric air during
the downward transport to 3–4 km takes only place if there is external
interference from nearby frontal systems or convection. Stratospheric air
layers can travel over very long distances without losing much of their
characteristics (Trickl et al., 2014, 2015). Sometimes they survive with
minor mixing even when travelling once around the globe (Trickl et al.,
2011).</p></list-item><list-item>
      <p>The formation of the tropopause fold has started significantly earlier and at
slightly higher altitudes than anticipated from the daily forecasts received
since autumn 2000 (Zanis et al., 2003). However, the success of the forecasts
(Trickl et al., 2010) could be due to the fact that a minimum start pressure
of 250 mbar (about 10.5 km) stays within the range of lowered tropopause
positions in the start region of the folding, even in summer.</p></list-item><list-item>
      <p>The trajectory bundles transversely propagating in the folds initially stay
rather narrow, narrower than the fold structure marked by the PV <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 2 pvu
contours. Later on, the bundle seems to expand, to some extent due to the
temporal spread at the control surfaces and due to additional STT
contributions entering the cross sections. Acute-angled fold structures have
repeatedly been observed with the ozone DIAL over Garmisch-Partenkirchen
(e.g. Trickl et al., 2010).</p></list-item><list-item>
      <p>Downward motion occurs all along the path, initially faster on the west
side.</p></list-item><list-item>
      <p>The changes in trajectory density and position shifts of the trajectory
bundle qualitatively confirm the time periods of the driest parts of the
layer in the observations at the different sites.</p></list-item></list>
The LUAMI measurements of water vapour, ozone, and aerosol have indicated
another behaviour of descending stratospheric layers. As hypothesized by
Trickl et al. (2014) the ozone and aerosol distributions in the intrusion
layer is in agreement with the idea of a rather unperturbed transfer of the
vertical distribution of these species in the source region to Europe: An
increase of ozone from tropospheric values at the bottom of the layer to
elevated values at near the top of the intrusion was documented at three
stations, the location of the aerosol peak in the upper part for the entire
DLR flight. The straight air flow out of the lowermost stratosphere revealed
by the model calculations (transverse to the fold) confirms this idea. More
cases must be analysed to harden these findings.</p>
      <p>As in the vast majority of the ozone observations with the lidar at
Garmisch-Partenkirchen the peak O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratio in the parts of the
intrusions reaching the lower troposphere are moderate (60–80 ppb). Most
intrusions originate in the lowest layer above the dynamical tropopause (or
just slightly below) as concluded by Trickl et al. (2014) from the very small
drop in Zugspitze CO that is reproduced in Fig. 11. This is now clearly
verified by the modelling results (Fig. 13). In the middle troposphere the
layers are wider and the ozone mixing ratio ranges between 80 and 150 ppb
(e.g. Stohl and Trickl, 1999; Trickl et al., 2010). This indicates that
farther to the north in the source region (Fig. 13) the exiting layer extends
deeper into the stratosphere. Exceptions are rare. For example, on 1 October
2015 a layer 6 km wide with up to 235 ppb of ozone was registered with the
ozone lidar, between 5 and 11 km a.s.l.<?xmltex \hack{\vadjust{\newpage}}?> However,
this is, still, far away from peak ozone mixing ratios of the order of 5 ppm
found in the stratosphere above 20 km.</p>
      <p>The aerosol seen in Figs. 2 and 12 in the upper half of the dry layer seems
to reflect the behaviour of ozone, which increased backscatter coefficients
towards the layer top. It is reasonable to assume that the lower volcanic
peak was located just above the tropopause in a major part of the Northern
Hemisphere. Stratospheric aerosol in intrusion layers has been rarely
reported (e.g. Browell et al., 1987; Langford and Reid, 1998). We have seen
indications in the ozone plus aerosol soundings at Garmisch-Partenkirchen in
2009 following the Sarychev eruption, or after a 1991 pyro-cumulonimbus in
the Québec province of Canada (Carnuth et al., 2002; Fromm et al., 2010).
STT has been seen as the most important removal mechanism in the
mid-latitudes, limiting the stratospheric dwell time of aerosol in the
mid-latitude stratosphere to 1 year and less (Trickl et al., 2013). As a
consequence, also the stratospheric impact of boreal smoke plumes (e.g. Fromm
et al., 2008, and Fig. 1 of Trickl et al., 2013) or particle formation from
aircraft emissions at high cruising altitudes strongly diminishes within less
than half a year.</p>
      <p>In Figs. 6 and A1 (see below) high-resolution ECMWF profiles are presented.
These profiles were calculated for the entire flight track (Wirth et al.,
2009b). The ECMWF analysis shows roughly the same H<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O distribution as
the measurements, but (as in Figs. 6 and A1) it is apparent from its much
smoother structure that the model is by no means able to resolve the fine
structure of the dry layer. The mean deviation between the WALES measurements
and the ECMWF analyses is <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>13 % (i.e. WALES is dryer). If the altitude
region of the dry layer is excluded, the mean difference is about <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>8 %.</p>
</sec>
<sec id="Ch1.S5">
  <title>Data availability</title>
      <p>The data can be obtained from the authors of this paper.</p><?xmltex \hack{\clearpage}?>
</sec>

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

<app id="App1.Ch1.S1">
  <title>Instrument comparisons</title>
      <p>We present in the following the results of the instrument comparisons that
are not primarily relevant to the scientific discussion of this paper.</p>
<sec id="App1.Ch1.S1.SS1">
  <title>Payerne</title>
      <p>The DLR Falcon passed over Payerne at 17:18 CET, i.e. during the transition
period towards the lowest water-vapour mixing ratios (Fig. 4). The
comparison of the two lidar systems and the profile obtained from an extra
RS92 ascent is shown in Fig. A1. The minimum mixing ratios from the DLR DIAL
and from the sonde agree well, whereas the minimum for the Raman lidar is
slightly higher. This deviation is outside the uncertainty specified for
RALMO (12 ppm), but inside that of the WALES data (as high as 200 ppm due to
the strong radiation loss in the moist layer above the intrusion). The RALMO
profiles are not shown beyond 5 km due to a deteriorating performance caused
by the background noise from residual daylight. For comparison, the
uncertainty at the humidity minimum during the dark phase was 3 ppm.</p>
      <p>In addition, a profile of the water-vapour mixing ratio from the ECWMF
T7699L91 analyses is given (see Sect. 2.1.1.). The agreement outside the
intrusion is rather good, but the intrusion is not only strongly
underestimated but also vertically shifted in the model output.</p>
</sec>
<sec id="App1.Ch1.S1.SS2">
  <title>Lindenberg</title>
      <p>In Fig. A2 the Lindenberg measurements around the time of the Falcon
overflight are shown together with a profile from WALES. Two separate panels
are given since the DLR profiles used for the comparison with RAMSES and the
sondes slightly differ, the balloon horizontally propagating along the
flight path. The comparisons are highly satisfactory. No systematic bias is
found, and deviation clearly exceeding 5 % exist just in a few altitude
ranges. In the intrusion layer the uncertainty of the WALES mixing ratio is
40 ppm (see lower panel of Fig. 7), i.e. much smaller than over Payerne due
to less absorption. The RAMSES data are displayed for measurement times of
10 and 30 min. An improvement by the longer averaging is seen only above 8 km where the noise of the 10 min data is high.</p>

      <?xmltex \floatpos{t}?><fig id="App1.Ch1.F1"><caption><p>Comparison of the water-vapour mixing ratio from the Raman and the
airborne lidar, and from a sonde ascent at Payerne; in addition, the
corresponding humidity result from an ECMWF analysis is given, which barely
shows the intrusion layer. The times for the lidar systems (DLR: top of
panel) refer to the middle of a measurement, for the sonde the launch time
(LT) was taken.</p></caption>
          <?xmltex \igopts{width=213.395669pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/8791/2016/acp-16-8791-2016-f17.png"/>

        </fig>

</sec>
<sec id="App1.Ch1.S1.SS3">
  <title>Zugspitze</title>
      <p>Figure A3 shows comparisons between the UFS 817 nm DIAL and the DLR 935 nm
DIAL WALES. For this comparison we kept the smoothing interval of the UFS
DIAL rather low, dynamically (nonlinearly) growing from about 25 m at 3 km
to about 125 m at 10 km (definition: VDI, 1999). Three WALES profiles are
given for time intervals before, around and after the overflight of the
mountain.</p>
      <p><?xmltex \hack{\newpage}?>As one would expect from the co-ordinates the best agreement is found for
the second WALES profile. In the altitudes ranges up to 4.5 km (e.g. moving
spike at the concentration maximum) and between 5.3 and 7.3 km there is a
considerable change in density along the flight path. At 6.6 km the H<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O
density is more than doubling between 19:49 and 19:54 CET (see also
colour change in Fig. 2), this time interval corresponding to a flight
distance of more than 70 km. The agreement of all three profiles is
excellent up to 7 km. Above 7 km, the uncertainty for the ground-based
system grows due to the considerable light absorption in the rather moist
lower free troposphere.</p>
      <p>The uncertainty of the Zugspitze DIAL in the dry layer is of the order of
<inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mn>21</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math 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>, whereas a higher uncertainty (about
<inline-formula><mml:math display="inline"><mml:mrow><mml:mn>3.5</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mn>21</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math 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>) is specified for the DLR system since 3 km a.s.l. means far-field
detection for the airborne DIAL. Between 3.4 and 7.0 km an average difference between WALES and the UFS DIAL was determined as
<inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">8</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mn>20</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math 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> (1.6 % of the peak mixing ratio), the
standard deviation of this value being <inline-formula><mml:math display="inline"><mml:mrow><mml:mn>1.1</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn>10</mml:mn><mml:mn>21</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> m<inline-formula><mml:math 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>. The
average difference is mainly determined by the offset in the range between
3.6 and 4.8 km, which is in the far field of the DLR DIAL.</p><?xmltex \hack{\newpage}?><?xmltex \floatpos{h!}?><fig id="App1.Ch1.F2"><caption><p><bold>(a)</bold> Comparison of WALES, a RS92 and a CFH sonde over
Lindenberg (Germany); the launch time of the balloon was 18:44 CET. The time
given above the panel is that of the passage of the aircraft above the
station. The WALES profile was evaluated slightly delayed for matching the
average balloon position. <bold>(b)</bold> Comparison of the WALES an RAMSES
lidar systems over Lindenberg (Germany); Lindenberg; for RAMSES two data
accumulation times were taken, 10 min (blue line, central time 18:57 CET)
and 30 min (broken blue line, central time 18:47 CET).</p></caption>
          <?xmltex \igopts{width=199.169291pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/8791/2016/acp-16-8791-2016-f18.png"/>

        </fig>

<?xmltex \hack{\newpage}?><?xmltex \floatpos{h!}?><fig id="App1.Ch1.F3"><caption><p>Comparison of Zugspitze (UFS) DIAL and WALES; three WALES density
profiles are shown around the time of the overflight. The best agreement was
found for the best matching of the co-ordinates. The UFS data were smoothed
less than in Fig. 10. The density profiles for 100 % RH is given in
dashed lines (Munich, 01:00 and 25:00 CET).</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/8791/2016/acp-16-8791-2016-f19.png"/>

        </fig>

<?xmltex \hack{\clearpage}?>
</sec>
</app>
  </app-group><ack><title>Acknowledgements</title><p>The authors thank H. P. Schmid for his interest and support. The Zugspitze
in situ data were generated by H. E. Scheel, who passed away in June 2013
after unfortunate surgery. W. Steinbrecht provided high-resolution
radiosonde data of the German Weather Service for Stuttgart and Munich. The
great support by the UFS team is acknowledged. The development of the
Zugspitze water-vapour DIAL has been funded by the Bavarian Ministry of
Economics and German Bundesministerium für Bildung und Forschung within
the programme Atmosphärenforschung 2000 (ATMOFAST project: Atmospheric
Long-range Transport and its Impact on the Trace-gas Composition in the Free
Troposphere over central Europe; ATMOFAST, 2005). The observations of
volcanic aerosol at Garmisch-Partenkirchen (UFS) contribute to NDACC
(Network of the Detection of Atmospheric Composition Change) and EARLINET
(European Aerosol Research Lidar Network, currently partly founded by ACTRIS 2).<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>The article processing charges for this open-access <?xmltex \hack{\newline}?>
publication  were covered by a Research <?xmltex \hack{\newline}?> Centre of the Helmholtz Association.
<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: E. Gerasopoulos<?xmltex \hack{\newline}?>
Reviewed by: two anonymous referees</p></ack><ref-list>
    <title>References</title>

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    <!--<article-title-html>How stratospheric are deep stratospheric intrusions? LUAMI 2008</article-title-html>
<abstract-html><p class="p">A large-scale comparison of water-vapour vertical-sounding instruments took
place over central Europe on 17 October 2008, during a rather homogeneous
deep stratospheric intrusion event (LUAMI, Lindenberg Upper-Air Methods
Intercomparison). The measurements were carried out at four observational
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(north-eastern Germany), and the Zugspitze mountain (Garmisch-Partenkichen,
German Alps), and by an airborne water-vapour lidar system creating a
transect of humidity profiles between all four stations. A high data quality
was verified that strongly underlines the scientific findings. The intrusion
layer was very dry with a minimum mixing ratios of 0 to 35 ppm on its lower
west side, but did not drop below 120 ppm on the higher-lying east side
(Lindenberg). The dryness hardens the findings of a preceding study
(“Part 1”, Trickl et al., 2014) that, e.g., 73 % of deep intrusions
reaching the German Alps and travelling 6 days or less exhibit minimum mixing
ratios of 50 ppm and less. These low values reflect values found in the
lowermost stratosphere and indicate very slow mixing with tropospheric air
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the lowermost edge of the stratosphere. The data suggest an increase of ozone
from the lower to the higher edge of the intrusion layer. This behaviour is
also confirmed by stratospheric aerosol caught in the layer. Both
observations are in agreement with the idea that sections of the vertical
distributions of these constituents in the source region were transferred to
central Europe without major change. LAGRANTO trajectory calculations
demonstrated a rather shallow outflow from the stratosphere just above the
dynamical tropopause, for the first time confirming the conclusions in
“Part 1” from the Zugspitze CO observations. The trajectories qualitatively
explain the temporal evolution of the intrusion layers above the four
stations participating in the campaign.</p></abstract-html>
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