<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing with OASIS Tables v3.0 20080202//EN" "journalpub-oasis3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" dtd-version="3.0">
  <front>
    <journal-meta>
<journal-id journal-id-type="publisher">ACP</journal-id>
<journal-title-group>
<journal-title>Atmospheric Chemistry and Physics</journal-title>
<abbrev-journal-title abbrev-type="publisher">ACP</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Atmos. Chem. Phys.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1680-7324</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>

    <article-meta>
      <article-id pub-id-type="doi">10.5194/acp-17-6125-2017</article-id><title-group><article-title>The stable isotopic composition of water vapour above Corsica during the HyMeX SOP1 campaign:
insight into vertical mixing processes from lower-tropospheric survey
flights</article-title>
      </title-group><?xmltex \runningtitle{Stable isotopic compositon of water vapour above Corsica}?><?xmltex \runningauthor{H.~Sodemann et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2 aff3">
          <name><surname>Sodemann</surname><given-names>Harald</given-names></name>
          <email>harald.sodemann@uib.no</email>
        <ext-link>https://orcid.org/0000-0002-8167-0860</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Aemisegger</surname><given-names>Franziska</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Pfahl</surname><given-names>Stephan</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-9872-6090</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Bitter</surname><given-names>Mark</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Corsmeier</surname><given-names>Ulrich</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Feuerle</surname><given-names>Thomas</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Graf</surname><given-names>Pascal</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Hankers</surname><given-names>Rolf</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff6 aff7">
          <name><surname>Hsiao</surname><given-names>Gregor</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Schulz</surname><given-names>Helmut</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Wieser</surname><given-names>Andreas</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-1266-5432</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Wernli</surname><given-names>Heini</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-9674-4837</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Geophysical Institute, University of Bergen, Bergen, Norway</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Bjerknes Centre for Climate Research, Bergen, Norway</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Institute for Atmospheric and Climate Science, ETH Zürich, Zürich, Switzerland</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Institute for Flight Guidance, Technical University Braunschweig, Braunschweig, Germany</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany</institution>
        </aff>
        <aff id="aff6"><label>6</label><institution>Picarro Inc., Santa Clara, California, USA</institution>
        </aff>
        <aff id="aff7"><label>a</label><institution>now at: Freeslate Inc., Sunnyvale, California, USA</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Harald Sodemann (harald.sodemann@uib.no)</corresp></author-notes><pub-date><day>17</day><month>May</month><year>2017</year></pub-date>
      
      <volume>17</volume>
      <issue>9</issue>
      <fpage>6125</fpage><lpage>6151</lpage>
      <history>
        <date date-type="received"><day>12</day><month>August</month><year>2016</year></date>
           <date date-type="rev-request"><day>4</day><month>October</month><year>2016</year></date>
           <date date-type="rev-recd"><day>17</day><month>March</month><year>2017</year></date>
           <date date-type="accepted"><day>29</day><month>March</month><year>2017</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/.html">This article is available from https://acp.copernicus.org/articles/.html</self-uri>
<self-uri xlink:href="https://acp.copernicus.org/articles/.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/.pdf</self-uri>


      <abstract>
    <p>Stable isotopes of water vapour are powerful indicators of meteorological
processes on a broad range of scales, reflecting evaporation, condensation,
and air mass mixing processes. With the recent advent of fast laser-based
spectroscopic methods, it has become possible to measure the stable isotopic
composition of atmospheric water vapour in situ at a high temporal
resolution. Here we present results from such comprehensive airborne
spectroscopic isotope measurements in water vapour over the western
Mediterranean at a high spatial and temporal resolution. Measurements have
been acquired by a customized Picarro L2130-i cavity-ring down spectrometer
deployed onboard the Dornier 128 D-IBUF aircraft together with a
meteorological flux measurement package during the HyMeX SOP1 (Hydrological
cycle in Mediterranean Experiment special observation period 1) field
campaign in Corsica, France, during September and October 2012. Taking into
account memory effects of the air inlet pipe, the typical time resolution of
the measurements was about 15–30 <inline-formula><mml:math id="M1" display="inline"><mml:mi mathvariant="normal">s</mml:mi></mml:math></inline-formula>, resulting in an average
horizontal resolution of about 1–2 <inline-formula><mml:math id="M2" display="inline"><mml:mi mathvariant="normal">km</mml:mi></mml:math></inline-formula>. Cross-calibration of the
water vapour measurements from all humidity sensors showed good agreement
under most flight conditions but the most turbulent ones. In total 21
successful stable isotope flights with 59 flight hours have been performed.
Our data provide quasi-climatological autumn average conditions and vertical
profiles of the stable isotope parameters <inline-formula><mml:math id="M3" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D, <inline-formula><mml:math id="M4" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O, and
d-excess during the study period. A d-excess minimum in the overall average
profile is reached in the region of the boundary-layer top, possibly caused
by precipitation evaporation. This minimum is bracketed by higher d-excess
values near the surface caused by non-equilibrium fractionation, and a
maximum above the boundary layer related to the increasing d-excess in very
depleted and dry high-altitude air masses. Repeated flights along the same
pattern reveal pronounced day-to-day variability due to changes in the
large-scale circulation. During a period marked by a strong inversion at the
top of the marine boundary layer, vertical gradients in stable isotopes
reached up to 25.4 <inline-formula><mml:math id="M5" display="inline"><mml:mrow><mml:mi mathvariant="normal">‰</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mn mathvariant="normal">100</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> for <inline-formula><mml:math id="M6" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D and
24.0 <inline-formula><mml:math id="M7" display="inline"><mml:mrow><mml:mi mathvariant="normal">‰</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mn mathvariant="normal">100</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> for the d-excess.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>The vertical distribution of water vapour in the atmosphere is
highly variable. It is shaped by source, transport, and sink processes, such
as evaporation and condensation, horizontal and vertical advection, and
mixing as determined by the atmospheric stability. The water vapour
concentration itself does not provide information on the role different
processes may play in its variability. The measurement of passive trace gases,
such as carbon monoxide and methane, can provide insight into atmospheric
mixing processes if significant sources are present at the surface but are not
specific to water vapour. Considering the stable isotopic composition of
atmospheric waters can support the interpretation of the phase change history
of water vapour in an air mass. The isotopic composition in water vapour is
here quantified by ratios between the concentration of the heavy stable
isotopologues <inline-formula><mml:math id="M8" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn><mml:mn mathvariant="normal">18</mml:mn></mml:msubsup><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> and HDO and the most common isotopologue,
<inline-formula><mml:math id="M9" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn><mml:mn mathvariant="normal">16</mml:mn></mml:msubsup><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula>, reported in <inline-formula><mml:math id="M10" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>-notation as <inline-formula><mml:math id="M11" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D and
<inline-formula><mml:math id="M12" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O in the water vapour <xref ref-type="bibr" rid="bib1.bibx12" id="paren.1"/>. It should be noted
that the isotope ratios determined by laser spectroscopy are molecular
isotope ratios. In practical cases it can be shown that the difference
between the molecular ratios and the more commonly used atomic ratios derived
from isotope-ratio mass spectrometry is much smaller than the measurement
precision <xref ref-type="bibr" rid="bib1.bibx34" id="paren.2"/>.</p>
      <p>The temperature at which phase changes occur is the main driver of isotope
fractionation that alters <inline-formula><mml:math id="M13" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D and <inline-formula><mml:math id="M14" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O due to the heavier
isotopes preferring the more tightly bound phase. As more and more water
vapour condenses and rains out from a cooling air mass, the remaining vapour
thus becomes increasingly depleted of heavy isotopes, as described by the
Rayleigh model <xref ref-type="bibr" rid="bib1.bibx24" id="paren.3"><named-content content-type="pre">e.g.</named-content></xref>. The isotopic composition of water
vapour is also closely related to atmospheric transport as well as source
(evaporation) and sink (condensation) processes <xref ref-type="bibr" rid="bib1.bibx32" id="paren.4"/> and can
be seen as an integrating tracer of the water's Lagrangian transport history
<xref ref-type="bibr" rid="bib1.bibx49" id="paren.5"/>. In the past, some of the most prominent uses of the
stable isotope composition of water have been in a palaeoclimate context to
infer past temperatures and moisture sources from natural archives
<xref ref-type="bibr" rid="bib1.bibx32" id="paren.6"><named-content content-type="pre">e.g.</named-content></xref>, for ground water studies
<xref ref-type="bibr" rid="bib1.bibx50" id="paren.7"><named-content content-type="pre">e.g.</named-content></xref>, and in studies investigating the stratospheric
water budget <xref ref-type="bibr" rid="bib1.bibx57" id="paren.8"><named-content content-type="pre">e.g.</named-content></xref>. The process-based insight provided
by the isotope composition, however, also extends to synoptic and sub-diurnal
timescales, and to the lower troposphere, where most atmospheric water
vapour resides. In light of the key role of atmospheric moisture for the
uncertainties in weather forecasts and climate predictions, understanding
processes affecting isotopes on these timescales promises to serve as an
additional constraint for future model improvements
<xref ref-type="bibr" rid="bib1.bibx42" id="paren.9"><named-content content-type="pre">e.g.</named-content></xref>.</p>
      <p>Historically, the isotopic composition of atmospheric water vapour has mainly
been observed at the surface using cold traps or inferred indirectly from
precipitation samples <xref ref-type="bibr" rid="bib1.bibx6" id="paren.10"><named-content content-type="pre">e.g.</named-content></xref>. Due to the
difficult sampling procedures, the vertical distribution of stable isotopes
in atmospheric water vapour has in the past been sampled only on very few
occasions. <xref ref-type="bibr" rid="bib1.bibx20" id="text.11"/> were the first to report <inline-formula><mml:math id="M15" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D from
airborne samples made inside Hurricane Faith in 1966. Their measurements of
water vapour and ice crystals collected in several vertical layers allowed
developing a hypothesis on the horizontal separation of updraft and downdraft
shafts in tropical storms. Shortly thereafter, <xref ref-type="bibr" rid="bib1.bibx52" id="text.12"/> published a
key data set of the isotopic composition in atmospheric water vapour from 20
flights made during 1967/68 over southern Germany. These profiles showed
substantial vertical and temporal (daily to seasonal) variation. Atmospheric
layers with remarkably different isotopic composition were interpreted as
resulting from the combined influence of turbulent mixing within the boundary
layer, as well as advection and subsidence above an inversion-capped boundary
layer. <xref ref-type="bibr" rid="bib1.bibx43" id="text.13"/> used a Rayleigh-type condensation model to
interpret an average profile of Taylor's (1972) data. Their approach was
disputed by <xref ref-type="bibr" rid="bib1.bibx53" id="text.14"/>, noting that a model fit to averaged profiles
will be meaningless unless the variability of each individual weather
situation is taken into account. This controversy emphasized both the
importance of the meteorological conditions during individual flights as
well as the potential explanatory power of reliable climatological mean
isotope profiles <xref ref-type="bibr" rid="bib1.bibx44" id="paren.15"/>. <xref ref-type="bibr" rid="bib1.bibx26" id="text.16"/> devised a
sophisticated multi-level adiabatic trajectory model to interpret the
<xref ref-type="bibr" rid="bib1.bibx52" id="text.17"/> data by taking into account the pseudo-adiabatic ascent and
dry adiabatic descent of the measured air masses. His study provided important
insight into the control of cloud processing and vertical motion on the
observed isotope profiles.</p>
      <p>A second major stable isotope data set was obtained by <xref ref-type="bibr" rid="bib1.bibx19" id="text.18"/>
(revised by <xref ref-type="bibr" rid="bib1.bibx21" id="altparen.19"/>) from repeated sampling flights during
1966–1967 and 1971–1973 over different parts of the US. The averaged
profiles, obtained during different seasons and reaching up to 13 km
altitude, revealed a general decrease in the heavy stable isotopes with
height throughout the troposphere. Both season and location were significant
for the variability of the mean profiles. Data points in and above the
upper-troposphere–lower-stratosphere (UT/LS) region were less depleted than
in the troposphere below, which was confirmed from balloon-based isotope
sampling up to 20 km altitude <xref ref-type="bibr" rid="bib1.bibx41" id="paren.20"/>. Much of the further
research was then focused on the UT/LS region, such as the collection of ice
crystals in midlatitude storm tops <xref ref-type="bibr" rid="bib1.bibx47" id="paren.21"/>, and airborne transects
in the European Arctic at 400 <inline-formula><mml:math id="M16" display="inline"><mml:mi mathvariant="normal">hPa</mml:mi></mml:math></inline-formula> to investigate the moisture budget
of the stratosphere <xref ref-type="bibr" rid="bib1.bibx61" id="paren.22"/>. The isotope distribution in the
atmospheric boundary layer and lower troposphere has received less attention
from airborne measurement campaigns. <xref ref-type="bibr" rid="bib1.bibx28" id="text.23"/> obtained vertical
profiles from three flights in the boundary layer and the lower troposphere
20 years after the Taylor and Ehhalt flights. Albeit limited to a few data
points, their results allowed deriving a first estimate of the stable isotope
flux from the surface to the atmosphere. A similar analysis was done by
<xref ref-type="bibr" rid="bib1.bibx55" id="text.24"/> for a number of flights in the boundary layer and lower
troposphere over Mongolia.</p>
      <p><?xmltex \hack{\newpage}?>All of the above flights suffered from the low temporal and spatial
resolution available from a discrete sampling procedure. Samples were
collected in cold traps, yielding only few samples per flight with a low
temporal and spatial resolution. After the flight, stable isotope
concentration was then determined in a laboratory from the collected water
vapour with isotope-ratio mass spectrometry. Airborne in situ isotope
measurements have only become possible with the advent of laser spectrometry.
Since the first airborne deployment of a laser spectrometer by
<xref ref-type="bibr" rid="bib1.bibx57" id="text.25"/> in the tropical UT/LS, a number of studies have
investigated the isotopic composition in stratospheric water vapour and the
tropical tropopause layer
<xref ref-type="bibr" rid="bib1.bibx27 bib1.bibx31 bib1.bibx46 bib1.bibx17" id="paren.26"/>. In the context of
validating remote-sensing products of the isotopic composition of water
vapour, Dyroff's instrument has recently been deployed in the troposphere
during seven flights in 2013 in the vicinity of the Canary Islands. The
<inline-formula><mml:math id="M17" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D profiles acquired during these flights reveal very sharp vertical
gradients related to air mass origin all the way through the troposphere
<xref ref-type="bibr" rid="bib1.bibx18" id="paren.27"/>. Similar features were apparent in <inline-formula><mml:math id="M18" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D measured
during several airborne profiles up to <inline-formula><mml:math id="M19" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 4500 m a.s.l. with a
commercial laser spectrometer over interior Alaska <xref ref-type="bibr" rid="bib1.bibx29" id="paren.28"/>.
However, the isotopic composition in the lower troposphere and boundary layer
themselves has so far not been interpreted with respect to the unprecedented
information it can provide about the atmospheric transport history of water
vapour.</p>
      <p>The deuterium excess (d-excess <inline-formula><mml:math id="M20" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="italic">δ</mml:mi></mml:mrow></mml:math></inline-formula>D<inline-formula><mml:math id="M21" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">8</mml:mn><mml:mo>⋅</mml:mo><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O), a
second-order isotope parameter, is a widely used measure of the degree of
non-equilibrium conditions during stable isotope fractionation. The parameter
quantifies the deviation of the isotopic composition from the empirical
global meteoric water line (GMWL) which relates <inline-formula><mml:math id="M22" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O and <inline-formula><mml:math id="M23" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D
in global precipitation to one another with a ratio of <inline-formula><mml:math id="M24" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula>
<xref ref-type="bibr" rid="bib1.bibx14 bib1.bibx24" id="paren.29"/>. During phase changes under non-equilibrium
conditions, the different advection speeds of the HDO and <inline-formula><mml:math id="M25" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn><mml:mn mathvariant="normal">18</mml:mn></mml:msubsup><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula>
molecules lead to deviations from this empirical relationship. One example
of this is evaporation into an unsaturated air mass, where strong winds
prevent the system from reaching equilibrium. In such a case, there would be
relatively more of the light and fast HDO molecules in the vapour phase than
one would expect from the GMWL, hence the name deuterium excess. On a global
average, the precipitation has a d-excess of about 10 ‰, indicating
that evaporation and precipitation generally take place under non-equilibrium
conditions. Under strong evaporation conditions characterized by atmospheres
with low relative humidity, high d-excess of up to 40 ‰ has been
observed in the vapour, in line with theoretical considerations
<xref ref-type="bibr" rid="bib1.bibx37 bib1.bibx39" id="paren.30"/>, for example in the Mediterranean
<xref ref-type="bibr" rid="bib1.bibx25" id="paren.31"/> or close to the sea-ice edge <xref ref-type="bibr" rid="bib1.bibx35" id="paren.32"/>. Note,
however, that in highly depleted conditions with respect to HDO and <inline-formula><mml:math id="M26" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn><mml:mn mathvariant="normal">18</mml:mn></mml:msubsup><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula>,
as encountered at higher tropospheric levels, the d-excess can take high
values because of the non-linearity of the scale it is defined on
<xref ref-type="bibr" rid="bib1.bibx56" id="paren.33"/>, even in the absence of kinetic fractionation (the d-excess
becomes 7000 ‰ in the limiting case of <inline-formula><mml:math id="M27" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1000 ‰ for both
HDO and <inline-formula><mml:math id="M28" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn><mml:mn mathvariant="normal">18</mml:mn></mml:msubsup><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula>). Therefore, careful interpretation of this
parameter is required.</p>
      <p>Under the first-order approximation that these properties remain unaffected
by the condensation history, the d-excess can serve as a tracer of moisture
origin and source conditions <xref ref-type="bibr" rid="bib1.bibx37 bib1.bibx4 bib1.bibx39" id="paren.34"/>.
Moisture over the Mediterranean Sea is known to have relatively high values
of d-excess. During a cruise in January 1995, <xref ref-type="bibr" rid="bib1.bibx25" id="text.35"/> acquired
samples with a d-excess ranging from 10 to 34 ‰, which they related
to intense evaporation into dry continental air along the coast. Based on
measurements of d-excess at Re<inline-formula><mml:math id="M29" display="inline"><mml:munder><mml:mtext>h</mml:mtext><mml:mo mathvariant="normal">¯</mml:mo></mml:munder></mml:math></inline-formula>ovot, Israel,
<xref ref-type="bibr" rid="bib1.bibx40" id="text.36"/> modelled the range of d-excess over Mediterranean moisture
sources as 15–40 ‰ for individual cases. <xref ref-type="bibr" rid="bib1.bibx52" id="text.37"/>
concluded from his early airborne data that the d-excess would not provide
any additional value. <xref ref-type="bibr" rid="bib1.bibx28" id="text.38"/> reported both <inline-formula><mml:math id="M30" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D and
<inline-formula><mml:math id="M31" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O but did not interpret the d-excess in their data. From
airborne sampling of hydrometeors in Hurricane Olivia, <xref ref-type="bibr" rid="bib1.bibx36" id="text.39"/>
found a pronounced day-to-day change in the d-excess, which was hypothesized
to be due to evaporation condition changes. Current in situ instrumentation
is in principle capable of providing d-excess measurements, yet this has not
been exploited for interpreting the d-excess of lower-tropospheric water
vapour.</p>
      <p>In this study, we report on airborne measurements of <inline-formula><mml:math id="M32" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D,
<inline-formula><mml:math id="M33" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O, and the d-excess obtained from a custom-modified commercial
cavity-ring down spectrometer (CRDS) with an enhanced laser setup.
Measurements were performed during a 30-day period in the boundary layer and
the lower troposphere around Corsica, France, in the western Mediterranean,
yielding 21 successful flights with about 59 flight hours. The aircraft was
based at Solenzara, Corsica, during the first HyMeX <xref ref-type="bibr" rid="bib1.bibx15" id="paren.40"><named-content content-type="pre">Hydrological cycle
in the Mediterranean experiment,</named-content></xref> special observations
period (SOP1) in September–October 2012, providing many additional
observations from different platforms in the region <xref ref-type="bibr" rid="bib1.bibx16" id="paren.41"/>.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><caption><p>Instrumentation onboard the Do 128-6 during HyMeX
SOP1.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.98}[.98]?><oasis:tgroup cols="4">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Parameter</oasis:entry>  
         <oasis:entry colname="col2">Measurement principle</oasis:entry>  
         <oasis:entry colname="col3">Type and manufacturer</oasis:entry>  
         <oasis:entry colname="col4">Measurement frequency</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">Specific humidity</oasis:entry>  
         <oasis:entry colname="col2">Dew point mirror</oasis:entry>  
         <oasis:entry colname="col3">TP3, Meteolabor</oasis:entry>  
         <oasis:entry colname="col4">Variable</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Lyman-<inline-formula><mml:math id="M34" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">Buck Research</oasis:entry>  
         <oasis:entry colname="col4">100 <inline-formula><mml:math id="M35" display="inline"><mml:mi mathvariant="normal">Hz</mml:mi></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Humicap hygrometer</oasis:entry>  
         <oasis:entry colname="col3">HMP 233, Humicap</oasis:entry>  
         <oasis:entry colname="col4">100 <inline-formula><mml:math id="M36" display="inline"><mml:mi mathvariant="normal">Hz</mml:mi></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">CRDS laser spectrometer</oasis:entry>  
         <oasis:entry colname="col3">L2130-i, Picarro Inc.</oasis:entry>  
         <oasis:entry colname="col4">1 <inline-formula><mml:math id="M37" display="inline"><mml:mi mathvariant="normal">Hz</mml:mi></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M38" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D, <inline-formula><mml:math id="M39" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O</oasis:entry>  
         <oasis:entry colname="col2">CRDS laser spectrometer</oasis:entry>  
         <oasis:entry colname="col3">L2130-i, Picarro Inc.</oasis:entry>  
         <oasis:entry colname="col4">1 <inline-formula><mml:math id="M40" display="inline"><mml:mi mathvariant="normal">Hz</mml:mi></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Temperature</oasis:entry>  
         <oasis:entry colname="col2">PT100 open wire</oasis:entry>  
         <oasis:entry colname="col3">Rosemount</oasis:entry>  
         <oasis:entry colname="col4">100 <inline-formula><mml:math id="M41" display="inline"><mml:mi mathvariant="normal">Hz</mml:mi></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Pressure</oasis:entry>  
         <oasis:entry colname="col2">Five-hole probe and pressure transducers</oasis:entry>  
         <oasis:entry colname="col3">Rosemount</oasis:entry>  
         <oasis:entry colname="col4">100 <inline-formula><mml:math id="M42" display="inline"><mml:mi mathvariant="normal">Hz</mml:mi></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Surface temperature</oasis:entry>  
         <oasis:entry colname="col2">Infrared radiometer</oasis:entry>  
         <oasis:entry colname="col3">Heiman KT15</oasis:entry>  
         <oasis:entry colname="col4">1 <inline-formula><mml:math id="M43" display="inline"><mml:mi mathvariant="normal">Hz</mml:mi></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Wind speed</oasis:entry>  
         <oasis:entry colname="col2">Calculated from flight parameters</oasis:entry>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4">100 <inline-formula><mml:math id="M44" display="inline"><mml:mi mathvariant="normal">Hz</mml:mi></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

      <p>After describing the measurement campaign, data acquisition system, and data
processing (Sect. <xref ref-type="sec" rid="Ch1.S2"/>), we present and interpret a
quasi-climatological autumn vertical isotope profile of water vapour over the
western Mediterranean from all available isotope flight data
(Sects. <xref ref-type="sec" rid="Ch1.S3"/> and <xref ref-type="sec" rid="Ch1.S4"/>). Then, we examine
the temporal evolution of the isotope profiles on several days along a
repeated flight track, exemplifying the tight coupling of the isotopic
composition to synoptic processes (Sect. <xref ref-type="sec" rid="Ch1.S5"/>). For a single
flight, detailed back-trajectory analysis shows that the isotopic
composition, including d-excess, provides additional insight into moisture
origin and evaporation processes (Sects. <xref ref-type="sec" rid="Ch1.S6"/>
and <xref ref-type="sec" rid="Ch1.S7"/>). Finally, we provide a summary and conclude with
the main results of the study (Sect. <xref ref-type="sec" rid="Ch1.S8"/>).</p>
</sec>
<sec id="Ch1.S2">
  <title>Data</title>
<sec id="Ch1.S2.SS1">
  <title>Airborne measurements during the HyMeX campaign</title>
      <p>In autumn 2012 (5 September–6 November 2012), HyMeX SOP1 took place in the
western Mediterranean. In addition to the implementation of extensive
ground-based field measurements on Corsica
<xref ref-type="bibr" rid="bib1.bibx33 bib1.bibx8" id="paren.42"/>, airborne measurements were carried out in
the vicinity and above the island from 11 September to 11 October 2012, using
the Dornier 128-6 (D-IBUF) research aircraft of the Institute of Flight
Guidance, TU Braunschweig <xref ref-type="bibr" rid="bib1.bibx13" id="paren.43"/>. The dual-engine propeller
aircraft has a typical cruising speed of 65 <inline-formula><mml:math id="M45" display="inline"><mml:mrow><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> and can reach
altitudes of up to 24 500 <inline-formula><mml:math id="M46" display="inline"><mml:mi mathvariant="normal">ft</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M47" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 7300 <inline-formula><mml:math id="M48" display="inline"><mml:mi mathvariant="normal">m</mml:mi></mml:math></inline-formula>) with oxygen
masks in the non-pressurized cabin, even though flight altitude did not
exceed 4500 <inline-formula><mml:math id="M49" display="inline"><mml:mi mathvariant="normal">m</mml:mi></mml:math></inline-formula> during this campaign. The aircraft instrumentation
provided a unique setup to simultaneously gather information on evaporation
fluxes and the corresponding isotopic composition in the marine boundary
layer. Onboard instrumentation consisted of a comprehensive package for
airborne meteorological flux measurements in the nose boom – acquiring
humidity, wind vectors, temperature, and pressure at a 100 Hz sampling rate
– and short-wave and long-wave radiation sensors for the upper and lower
half-space and radiative surface temperature as well as additional humidity
sensors with lower sampling frequency (Table <xref ref-type="table" rid="Ch1.T1"/>). The
isotopic composition of ambient water vapour was measured using a commercial
CRDS instrument (L2130-i, Picarro Inc.). The instrument was customized,
resulting in a data acquisition rate of up to 2 <inline-formula><mml:math id="M50" display="inline"><mml:mi mathvariant="normal">Hz</mml:mi></mml:math></inline-formula> by a triple-laser
setup allowing faster measurement of the different wavelengths for HDO and
<inline-formula><mml:math id="M51" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn><mml:mn mathvariant="normal">18</mml:mn></mml:msubsup><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> molecules. During the HyMeX campaign, the instrument was
used in a scheme with two ring-downs per data point, resulting in a 1 Hz
data acquisition rate. Outside air was guided into the system through a
backward-facing cabin-mounted stainless-steel inlet connected to a bypass
pump (see Appendix <xref ref-type="sec" rid="App1.Ch1.S1.SS1"/>). No additional trace gas measurements
were available during the aircraft campaign.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><caption><p>Flight patterns during the HyMeX IBUF campaign. Grey shading shows
elevation in metres above sea level (m a.s.l.). Table <xref ref-type="table" rid="Ch1.T1"/> lists
the dates when the different patterns were flown.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/6125/2017/acp-17-6125-2017-f01.pdf"/>

        </fig>

      <p>In total 32 flights were performed (Table <xref ref-type="table" rid="Ch1.T2"/>). During 11
flights (flights 17–27) the bypass pump was not working, thus a mixture of
cabin and outside air was sampled by the laser spectrometer in those cases.
Here, only the 21 flights are reported during which all pumps were working.
Figure <xref ref-type="fig" rid="Ch1.F1"/> summarizes the flight patterns for these 21 flights. The
different flight patterns were primarily designed to provide information of
the thermodynamic environment above and around Corsica leading to moist
convection, including surface evaporation and boundary-layer processes over
the island and the surrounding ocean. Thereby, flight patterns did both
provide statistically robust sampling of the atmosphere at levels of constant
altitude in the boundary layer and free troposphere, and profiles of the
vertical structure of the atmosphere above land and water. Flight operations
were focused on altitudes below 2000 m a.s.l. but reached above
4500 m a.s.l. for a few vertical profiles. The flight patterns were often
repeated after several hours or on the next day to investigate the changes in
the atmosphere with the diurnal cycle or during a specific weather situation
(Table <xref ref-type="table" rid="Ch1.T2"/>).</p>
</sec>
<sec id="Ch1.S2.SS2">
  <title>Correction and calibration of humidity measurements</title>
      <p>Reliable measurements of humidity are an important basis for the
interpretation of the isotope data. Four independent humidity measurements
were available on the aircraft: a dew point mirror hygrometer (TP), a Humicap
capacitive sensor hygrometer (HC), a Lyman-<inline-formula><mml:math id="M52" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula> hygrometer (LY), and the
CRDS <inline-formula><mml:math id="M53" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn><mml:mn mathvariant="normal">16</mml:mn></mml:msubsup><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> concentration (Table <xref ref-type="table" rid="Ch1.T1"/>). The
Lyman-<inline-formula><mml:math id="M54" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula> measures at a very high frequency (100 <inline-formula><mml:math id="M55" display="inline"><mml:mi mathvariant="normal">Hz</mml:mi></mml:math></inline-formula>) but needs to
be combined with slower accurate measurements from either the Humicap or the
dew point mirror for bias correction. The combination of the Lyman-<inline-formula><mml:math id="M56" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula>
with the dew point mirror (TPLY) provides a fast response to changing ambient
conditions and generally stable measurements, even if sometimes after
encountering very dry conditions it delivered bad data. In this study, the
combined Lyman-<inline-formula><mml:math id="M57" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula>–Humicap humidity product (HCLY) was used as a reference
for calibrating the CRDS humidity measurements because it had a response time
similar to the CRDS measurements. The correspondence between the CRDS and the
HCLY humidity allowed compensating for time shifts of the stable isotope
measurements due to the inlet, piping, position in the aircraft, and computer
clock differences. Humidity measurements from the CRDS were then calibrated
with the HCLY humidity data using a linear fit determined from each
individual flight at a 1 Hz time resolution. The slope and offset of this
linear fit were mostly stable between flights but changed after the
installation of a replacement pump after the first bypass pump failed (see
Appendix <xref ref-type="sec" rid="App1.Ch1.S1.SS2"/>). The Humicap was calibrated repeatedly during
the campaign and showed very stable calibration curves.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><caption><p><bold>(a)</bold> Correlation between calibrated specific humidity from
the CRDS (<inline-formula><mml:math id="M58" display="inline"><mml:mrow><mml:msub><mml:mi>q</mml:mi><mml:mi mathvariant="normal">CRDS</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>), the Humicap–Lyman-<inline-formula><mml:math id="M59" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M60" display="inline"><mml:mrow><mml:msub><mml:mi>q</mml:mi><mml:mi mathvariant="normal">HCLY</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>,
blue dots, <inline-formula><mml:math id="M61" display="inline"><mml:mrow><mml:mi mathvariant="italic">ρ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.994</mml:mn></mml:mrow></mml:math></inline-formula>), and the dew point hygrometer–Lyman-<inline-formula><mml:math id="M62" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula>
product (<inline-formula><mml:math id="M63" display="inline"><mml:mrow><mml:msub><mml:mi>q</mml:mi><mml:mi mathvariant="normal">TPLY</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>; grey dots; <inline-formula><mml:math id="M64" display="inline"><mml:mrow><mml:mi mathvariant="italic">ρ</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.989</mml:mn></mml:mrow></mml:math></inline-formula>) at 1 s time interval
for flight 01 on 11 September 2012. Red dashed line shows a linear
least-squares fit to the <inline-formula><mml:math id="M65" display="inline"><mml:mrow><mml:msub><mml:mi>q</mml:mi><mml:mi mathvariant="normal">HCLY</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M66" display="inline"><mml:mrow><mml:msub><mml:mi>q</mml:mi><mml:mi mathvariant="normal">CRDS</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> data; black
line is a <inline-formula><mml:math id="M67" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> relation. <bold>(b)</bold> Comparison of calibrated humidity
measurements from the three products for a representative vertical profile
during flight 01 ascending from 1500 m to 3700 m a.s.l.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/6125/2017/acp-17-6125-2017-f02.pdf"/>

        </fig>

      <p>An example of the uncalibrated 1 Hz humidity data from flight 01 is shown in
Fig. <xref ref-type="fig" rid="Ch1.F2"/>a. Flights with strong turbulence showed slightly lower
correlations. From the generally high correlation between the two humidity
measurements at 1 Hz, it is apparent that for <inline-formula><mml:math id="M68" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn><mml:mn mathvariant="normal">16</mml:mn></mml:msubsup><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> only very
limited memory effects were introduced by the inlet system. During many
flight periods the CRDS humidity measurement was more similar to the HCLY
than to the humidity derived from the dew-point mirror–Lyman-<inline-formula><mml:math id="M69" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula>
combination, as exemplified in Fig. <xref ref-type="fig" rid="Ch1.F2"/>b. Both aspects support the fact that
the CRDS instrument provided reliable measurements during most flight
conditions and was generally able to compensate for ambient pressure and
temperature changes during the flight (see Appendix <xref ref-type="sec" rid="App1.Ch1.S1.SS5"/>).</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2"><caption><p>Flight dates and corresponding pattern during the HyMeX D-IBUF
deployment. During flights 17–26 printed in italic the bypass pump of the
stable isotope measurements was not working. TES: Tropospheric Emission Spectrometer; IASI: Infrared Atmospheric Sounding Interferometer.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.9}[.9]?><oasis:tgroup cols="6">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="center"/>
     <oasis:colspec colnum="4" colname="col4" align="center"/>
     <oasis:colspec colnum="5" colname="col5" align="center"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1">Flight</oasis:entry>  
         <oasis:entry colname="col2">Date</oasis:entry>  
         <oasis:entry colname="col3">Takeoff</oasis:entry>  
         <oasis:entry colname="col4">Landing</oasis:entry>  
         <oasis:entry colname="col5">Duration</oasis:entry>  
         <oasis:entry colname="col6">Pattern</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">number</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3">(UTC)</oasis:entry>  
         <oasis:entry colname="col4">(UTC)</oasis:entry>  
         <oasis:entry colname="col5">(h)</oasis:entry>  
         <oasis:entry colname="col6"/>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">01</oasis:entry>  
         <oasis:entry colname="col2">11 Sept 2012</oasis:entry>  
         <oasis:entry colname="col3">11:01</oasis:entry>  
         <oasis:entry colname="col4">14:00</oasis:entry>  
         <oasis:entry colname="col5">2:59</oasis:entry>  
         <oasis:entry colname="col6">1</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">02</oasis:entry>  
         <oasis:entry colname="col2">12 Sept 2012</oasis:entry>  
         <oasis:entry colname="col3">07:59</oasis:entry>  
         <oasis:entry colname="col4">11:05</oasis:entry>  
         <oasis:entry colname="col5">3:06</oasis:entry>  
         <oasis:entry colname="col6">5</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">03</oasis:entry>  
         <oasis:entry colname="col2">12 Sept 2012</oasis:entry>  
         <oasis:entry colname="col3">14:07</oasis:entry>  
         <oasis:entry colname="col4">17:19</oasis:entry>  
         <oasis:entry colname="col5">3:12</oasis:entry>  
         <oasis:entry colname="col6">5</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">04</oasis:entry>  
         <oasis:entry colname="col2">13 Sept 2012</oasis:entry>  
         <oasis:entry colname="col3">07:56</oasis:entry>  
         <oasis:entry colname="col4">10:45</oasis:entry>  
         <oasis:entry colname="col5">2:49</oasis:entry>  
         <oasis:entry colname="col6">5</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">05</oasis:entry>  
         <oasis:entry colname="col2">13 Sept 2012</oasis:entry>  
         <oasis:entry colname="col3">13:07</oasis:entry>  
         <oasis:entry colname="col4">13:47</oasis:entry>  
         <oasis:entry colname="col5">0:40</oasis:entry>  
         <oasis:entry colname="col6">2</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">06</oasis:entry>  
         <oasis:entry colname="col2">14 Sept 2012</oasis:entry>  
         <oasis:entry colname="col3">08:00</oasis:entry>  
         <oasis:entry colname="col4">11:06</oasis:entry>  
         <oasis:entry colname="col5">3:06</oasis:entry>  
         <oasis:entry colname="col6">5</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">07</oasis:entry>  
         <oasis:entry colname="col2">17 Sept 2012</oasis:entry>  
         <oasis:entry colname="col3">10:54</oasis:entry>  
         <oasis:entry colname="col4">12:41</oasis:entry>  
         <oasis:entry colname="col5">1:47</oasis:entry>  
         <oasis:entry colname="col6">1</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">08</oasis:entry>  
         <oasis:entry colname="col2">18 Sept 2012</oasis:entry>  
         <oasis:entry colname="col3">08:59</oasis:entry>  
         <oasis:entry colname="col4">12:01</oasis:entry>  
         <oasis:entry colname="col5">3:02</oasis:entry>  
         <oasis:entry colname="col6">1</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">09</oasis:entry>  
         <oasis:entry colname="col2">20 Sept 2012</oasis:entry>  
         <oasis:entry colname="col3">07:53</oasis:entry>  
         <oasis:entry colname="col4">10:53</oasis:entry>  
         <oasis:entry colname="col5">3:00</oasis:entry>  
         <oasis:entry colname="col6">3</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">10</oasis:entry>  
         <oasis:entry colname="col2">21 Sept 2012</oasis:entry>  
         <oasis:entry colname="col3">06:56</oasis:entry>  
         <oasis:entry colname="col4">09:58</oasis:entry>  
         <oasis:entry colname="col5">3:02</oasis:entry>  
         <oasis:entry colname="col6">3</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">11</oasis:entry>  
         <oasis:entry colname="col2">21 Sept 2012</oasis:entry>  
         <oasis:entry colname="col3">11:23</oasis:entry>  
         <oasis:entry colname="col4">14:26</oasis:entry>  
         <oasis:entry colname="col5">3:03</oasis:entry>  
         <oasis:entry colname="col6">3</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">12</oasis:entry>  
         <oasis:entry colname="col2">23 Sept 2012</oasis:entry>  
         <oasis:entry colname="col3">06:55</oasis:entry>  
         <oasis:entry colname="col4">10:03</oasis:entry>  
         <oasis:entry colname="col5">3:08</oasis:entry>  
         <oasis:entry colname="col6">1</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">13</oasis:entry>  
         <oasis:entry colname="col2">23 Sept 2012</oasis:entry>  
         <oasis:entry colname="col3">11:00</oasis:entry>  
         <oasis:entry colname="col4">14:07</oasis:entry>  
         <oasis:entry colname="col5">3:07</oasis:entry>  
         <oasis:entry colname="col6">1</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">14</oasis:entry>  
         <oasis:entry colname="col2">24 Sept 2012</oasis:entry>  
         <oasis:entry colname="col3">11:56</oasis:entry>  
         <oasis:entry colname="col4">15:14</oasis:entry>  
         <oasis:entry colname="col5">3:18</oasis:entry>  
         <oasis:entry colname="col6">9</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">15</oasis:entry>  
         <oasis:entry colname="col2">25 Sept 2012</oasis:entry>  
         <oasis:entry colname="col3">07:01</oasis:entry>  
         <oasis:entry colname="col4">10:09</oasis:entry>  
         <oasis:entry colname="col5">3:08</oasis:entry>  
         <oasis:entry colname="col6">1</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">16</oasis:entry>  
         <oasis:entry colname="col2">25 Sept 2012</oasis:entry>  
         <oasis:entry colname="col3">11:09</oasis:entry>  
         <oasis:entry colname="col4">14:11</oasis:entry>  
         <oasis:entry colname="col5">3:02</oasis:entry>  
         <oasis:entry colname="col6">1</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>17</italic></oasis:entry>  
         <oasis:entry colname="col2"><italic>27 Sept 2012</italic></oasis:entry>  
         <oasis:entry colname="col3"><italic>12:54</italic></oasis:entry>  
         <oasis:entry colname="col4"><italic>16:20</italic></oasis:entry>  
         <oasis:entry colname="col5"><italic>3:26</italic></oasis:entry>  
         <oasis:entry colname="col6"><italic>9</italic></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>18</italic></oasis:entry>  
         <oasis:entry colname="col2"><italic>28 Sept 2012</italic></oasis:entry>  
         <oasis:entry colname="col3"><italic>10:00</italic></oasis:entry>  
         <oasis:entry colname="col4"><italic>13:18</italic></oasis:entry>  
         <oasis:entry colname="col5"><italic>3:18</italic></oasis:entry>  
         <oasis:entry colname="col6"><italic>TES</italic></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>19</italic></oasis:entry>  
         <oasis:entry colname="col2"><italic>28 Sept 2012</italic></oasis:entry>  
         <oasis:entry colname="col3"><italic>14:05</italic></oasis:entry>  
         <oasis:entry colname="col4"><italic>15:35</italic></oasis:entry>  
         <oasis:entry colname="col5"><italic>1:30</italic></oasis:entry>  
         <oasis:entry colname="col6"><italic>1</italic></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>20</italic></oasis:entry>  
         <oasis:entry colname="col2"><italic>1 Oct 2012</italic></oasis:entry>  
         <oasis:entry colname="col3"><italic>08:55</italic></oasis:entry>  
         <oasis:entry colname="col4"><italic>11:30</italic></oasis:entry>  
         <oasis:entry colname="col5"><italic>2:35</italic></oasis:entry>  
         <oasis:entry colname="col6"><italic>2</italic></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>21</italic></oasis:entry>  
         <oasis:entry colname="col2"><italic>1 Oct 2012</italic></oasis:entry>  
         <oasis:entry colname="col3"><italic>13:04</italic></oasis:entry>  
         <oasis:entry colname="col4"><italic>16:07</italic></oasis:entry>  
         <oasis:entry colname="col5"><italic>3:03</italic></oasis:entry>  
         <oasis:entry colname="col6"><italic>2</italic></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>22</italic></oasis:entry>  
         <oasis:entry colname="col2"><italic>2 Oct 2012</italic></oasis:entry>  
         <oasis:entry colname="col3"><italic>08:58</italic></oasis:entry>  
         <oasis:entry colname="col4"><italic>12:09</italic></oasis:entry>  
         <oasis:entry colname="col5"><italic>3:11</italic></oasis:entry>  
         <oasis:entry colname="col6"><italic>1</italic></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>23</italic></oasis:entry>  
         <oasis:entry colname="col2"><italic>2 Oct 2012</italic></oasis:entry>  
         <oasis:entry colname="col3"><italic>13:39</italic></oasis:entry>  
         <oasis:entry colname="col4"><italic>16:32</italic></oasis:entry>  
         <oasis:entry colname="col5"><italic>2:53</italic></oasis:entry>  
         <oasis:entry colname="col6"><italic>1</italic></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>24</italic></oasis:entry>  
         <oasis:entry colname="col2"><italic>3 Oct 2012</italic></oasis:entry>  
         <oasis:entry colname="col3"><italic>08:50</italic></oasis:entry>  
         <oasis:entry colname="col4"><italic>12:01</italic></oasis:entry>  
         <oasis:entry colname="col5"><italic>3:11</italic></oasis:entry>  
         <oasis:entry colname="col6"><italic>3</italic></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>25</italic></oasis:entry>  
         <oasis:entry colname="col2"><italic>3 Oct 2012</italic></oasis:entry>  
         <oasis:entry colname="col3"><italic>13:09</italic></oasis:entry>  
         <oasis:entry colname="col4"><italic>16:33</italic></oasis:entry>  
         <oasis:entry colname="col5"><italic>3:24</italic></oasis:entry>  
         <oasis:entry colname="col6"><italic>3</italic></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>26</italic></oasis:entry>  
         <oasis:entry colname="col2"><italic>4 Oct 2012</italic></oasis:entry>  
         <oasis:entry colname="col3"><italic>08:42</italic></oasis:entry>  
         <oasis:entry colname="col4"><italic>12:10</italic></oasis:entry>  
         <oasis:entry colname="col5"><italic>3:28</italic></oasis:entry>  
         <oasis:entry colname="col6"><italic>5</italic></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">27</oasis:entry>  
         <oasis:entry colname="col2">4 Oct 2012</oasis:entry>  
         <oasis:entry colname="col3">12:59</oasis:entry>  
         <oasis:entry colname="col4">15:53</oasis:entry>  
         <oasis:entry colname="col5">2:54</oasis:entry>  
         <oasis:entry colname="col6">7</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">28</oasis:entry>  
         <oasis:entry colname="col2">5 Oct 2012</oasis:entry>  
         <oasis:entry colname="col3">07:31</oasis:entry>  
         <oasis:entry colname="col4">10:36</oasis:entry>  
         <oasis:entry colname="col5">3:05</oasis:entry>  
         <oasis:entry colname="col6">IASI</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">29</oasis:entry>  
         <oasis:entry colname="col2">5 Oct 2012</oasis:entry>  
         <oasis:entry colname="col3">13:09</oasis:entry>  
         <oasis:entry colname="col4">14:38</oasis:entry>  
         <oasis:entry colname="col5">1:29</oasis:entry>  
         <oasis:entry colname="col6">3</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">30</oasis:entry>  
         <oasis:entry colname="col2">9 Oct 2012</oasis:entry>  
         <oasis:entry colname="col3">08:57</oasis:entry>  
         <oasis:entry colname="col4">11:37</oasis:entry>  
         <oasis:entry colname="col5">2:40</oasis:entry>  
         <oasis:entry colname="col6">1</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">31</oasis:entry>  
         <oasis:entry colname="col2">10 Oct 2012</oasis:entry>  
         <oasis:entry colname="col3">11:35</oasis:entry>  
         <oasis:entry colname="col4">13:55</oasis:entry>  
         <oasis:entry colname="col5">2:20</oasis:entry>  
         <oasis:entry colname="col6">3</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">32</oasis:entry>  
         <oasis:entry colname="col2">11 Oct 2012</oasis:entry>  
         <oasis:entry colname="col3">06:36</oasis:entry>  
         <oasis:entry colname="col4">10:03</oasis:entry>  
         <oasis:entry colname="col5">3:27</oasis:entry>  
         <oasis:entry colname="col6">Falcon</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

</sec>
<sec id="Ch1.S2.SS3">
  <title>Water vapour dependency correction of the stable isotope measurements</title>
      <p>The CRDS measurements of the isotopic composition of water vapour are
affected by a mixing-ratio-dependent bias and therefore require a water
vapour dependency correction, sometimes also referred to as a humidity–isotope
response calibration, prior to or during the calibration of the isotopes
themselves <xref ref-type="bibr" rid="bib1.bibx51 bib1.bibx3 bib1.bibx9 bib1.bibx7" id="paren.44"/>. A first
humidity–isotope response calibration was performed in the laboratory in
October 2012 (immediately after the field deployment) using a WVISS (water vapour isotopic standard source) unit (Los
Gatos Inc.) for standard vapour generation and a stable isotope working
standard also used for the calibration of the measurements
(Sect. <xref ref-type="sec" rid="Ch1.S2.SS4"/>). In autumn 2014 this was extended to lower
humidities with the same CRDS and an improved setup using a dew point
generator (Li-610, Licor Inc.). We measured the humidity–isotope response
during stepwise increases in water concentration from 500 to
10 000 <inline-formula><mml:math id="M70" display="inline"><mml:mi mathvariant="normal">ppmv</mml:mi></mml:math></inline-formula> and fitted a power law function forced to 0 at and
above the reference level of 10 000 <inline-formula><mml:math id="M71" display="inline"><mml:mi mathvariant="normal">ppmv</mml:mi></mml:math></inline-formula> for each isotopologue:

                <disp-formula specific-use="align" content-type="numbered"><mml:math id="M72" display="block"><mml:mtable displaystyle="true"><mml:mlabeledtr id="Ch1.E1"><mml:mtd/><mml:mtd><mml:mstyle class="stylechange" displaystyle="true"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:mi mathvariant="normal">Δ</mml:mi><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup><mml:mrow class="chem"><mml:mi mathvariant="normal">O</mml:mi></mml:mrow><mml:mo>=</mml:mo><mml:mi>a</mml:mi><mml:mfenced close=")" open="("><mml:msubsup><mml:mi>w</mml:mi><mml:mi mathvariant="normal">raw</mml:mi><mml:mi>b</mml:mi></mml:msubsup><mml:mo>-</mml:mo><mml:mn mathvariant="normal">10</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mn mathvariant="normal">000</mml:mn><mml:mi>b</mml:mi></mml:msup></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr><mml:mlabeledtr id="Ch1.E2"><mml:mtd/><mml:mtd><mml:mstyle class="stylechange" displaystyle="true"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi mathvariant="italic">δ</mml:mi><mml:mrow class="chem"><mml:mi mathvariant="normal">D</mml:mi></mml:mrow><mml:mo>=</mml:mo><mml:mi>c</mml:mi><mml:mfenced open="(" close=")"><mml:msubsup><mml:mi>w</mml:mi><mml:mi mathvariant="normal">raw</mml:mi><mml:mi>d</mml:mi></mml:msubsup><mml:mo>-</mml:mo><mml:mn mathvariant="normal">10</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mn mathvariant="normal">000</mml:mn><mml:mi>d</mml:mi></mml:msup></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr></mml:mtable></mml:math></disp-formula>

            where <inline-formula><mml:math id="M73" display="inline"><mml:mrow><mml:msub><mml:mi>w</mml:mi><mml:mi mathvariant="normal">raw</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the uncalibrated volume mixing ratio of water
vapour from the CRDS in units of parts per million by volume, and the coefficients are
<inline-formula><mml:math id="M74" display="inline"><mml:mrow><mml:mi>a</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1.0856</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">4</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M75" display="inline"><mml:mrow><mml:mi>b</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M76" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1.1068, <inline-formula><mml:math id="M77" display="inline"><mml:mrow><mml:mi>c</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">2.0578</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">4</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>, and
<inline-formula><mml:math id="M78" display="inline"><mml:mrow><mml:mi>d</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M79" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1.0774. The calibration functions increase strongly for mixing
ratios below 3000 <inline-formula><mml:math id="M80" display="inline"><mml:mi mathvariant="normal">ppmv</mml:mi></mml:math></inline-formula> (up to 2.7 ‰ for <inline-formula><mml:math id="M81" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D,
1.9 ‰ for <inline-formula><mml:math id="M82" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O). For d-excess, the correction reaches
<inline-formula><mml:math id="M83" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>12.8 ‰ at 3000 <inline-formula><mml:math id="M84" display="inline"><mml:mi mathvariant="normal">ppmv</mml:mi></mml:math></inline-formula> (Appendix <xref ref-type="sec" rid="App1.Ch1.S1.SS3"/>),
underlining the particular importance of humidity–isotope response
calibration for this parameter. In the current generation of the L2130-i
Picarro instrument, the response is less pronounced than in earlier instrument
generations <xref ref-type="bibr" rid="bib1.bibx3" id="paren.45"/>, but it is different for each individual
instrument <xref ref-type="bibr" rid="bib1.bibx9" id="paren.46"><named-content content-type="pre">compare, e.g.,</named-content></xref>. We consider the humidity
dependency of the stable isotope measurements as an instrument characteristic
that remained constant during the campaign, as confirmed by repeated
measurements during and after the campaign in 2012
(Appendix <xref ref-type="sec" rid="App1.Ch1.S1.SS3"/>).</p>
</sec>
<sec id="Ch1.S2.SS4">
  <title>Stable isotope measurements calibration</title>
      <p>The calibration of the CRDS instrument was routinely performed with the WVISS
calibration unit using two working standards WS6 and WS9 (WS6; <inline-formula><mml:math id="M85" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D:
<inline-formula><mml:math id="M86" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>78.7 <inline-formula><mml:math id="M87" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2 ‰; <inline-formula><mml:math id="M88" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O:
<inline-formula><mml:math id="M89" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>11.0 <inline-formula><mml:math id="M90" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1 ‰; WS9; <inline-formula><mml:math id="M91" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D:
<inline-formula><mml:math id="M92" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>166.7 <inline-formula><mml:math id="M93" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.4 ‰; <inline-formula><mml:math id="M94" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O:
<inline-formula><mml:math id="M95" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>70.2 <inline-formula><mml:math id="M96" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.7 ‰, determined from isotope-ratio mass
spectrometry; <xref ref-type="bibr" rid="bib1.bibx2" id="altparen.47"/>), which approximately span the range
of the field measurements (albeit lower <inline-formula><mml:math id="M97" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D conditions were
encountered). On every day with flight activity at least six calibration runs
were performed with a duration of 10 <inline-formula><mml:math id="M98" display="inline"><mml:mi mathvariant="normal">min</mml:mi></mml:math></inline-formula> each. Before the flight, one
calibration run at a water vapour mixing ratio of
<inline-formula><mml:math id="M99" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 20 000 <inline-formula><mml:math id="M100" display="inline"><mml:mi mathvariant="normal">ppmv</mml:mi></mml:math></inline-formula> was done with both standards. After the flight
two runs per standard at water vapour mixing ratios of <inline-formula><mml:math id="M101" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 4000 and
<inline-formula><mml:math id="M102" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 20 000 <inline-formula><mml:math id="M103" display="inline"><mml:mi mathvariant="normal">ppmv</mml:mi></mml:math></inline-formula> were performed. Ambient air dried with the WVISS
unit was used as carrier gas for the calibrations. Most of the calibration
runs before the flights had to be discarded because it was later established that the laser spectrometer and the WVISS had not yet sufficiently stabilized
after start-up. Thus, with very few exceptions only the calibration runs
carried out after the daily flight operations were used for the calibration of
the isotope measurements, using the constant part of each 10 min calibration
period for averaging. As empirical stability criteria, the 1<inline-formula><mml:math id="M104" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula>
standard deviation during this period had to be below 3 ‰ for
<inline-formula><mml:math id="M105" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D (2 ‰ for <inline-formula><mml:math id="M106" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O) for taking an individual
calibration run into consideration. Calibrations were then done following the
procedure recommended by <xref ref-type="bibr" rid="bib1.bibx30" id="text.48"/>.</p>
      <p>No isotope calibrations were performed during the flight due to lack of an
onboard calibration system. In principle, instability can occur due to
temperature and pressure fluctuations in the measurement cavity. Cavity
pressure and temperatures inside the instrument are continuously stabilized,
and records of these parameters indicate that no adjustment problems were
encountered during most flight conditions (Appendix <xref ref-type="sec" rid="App1.Ch1.S1.SS5"/>).
Furthermore, the humidity measurement of the L2130-i is based on the spectral
absorption of the <inline-formula><mml:math id="M107" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> molecule and uses the same measurement
principle as for the other isotopologues. Therefore, if the stable isotope
measurements were affected by strong drifts during the flights we expect that
this would also be detectable in the humidity measurements. This was not
observed; the high correlation between the HCLY and CRDS humidity
(Fig. <xref ref-type="fig" rid="Ch1.F2"/>) is therefore also considered to be a first-order indication
for the stability of the isotope measurements during the flight. At least for our
study with a relatively short flight time, regular calibration during the flight
would not necessarily improve the data quality but substantially reduce the
available measurement time. It therefore seems that precise temperature and
pressure regulation of the cavity and the other instrument parts is the most
important requirement to limit the uncertainty of our airborne stable
isotope data.</p>
</sec>
<sec id="Ch1.S2.SS5">
  <title>Data quality and resolution</title>
      <p>Memory effects due to interaction with the piping walls are larger and
species dependent for <inline-formula><mml:math id="M108" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn><mml:mn mathvariant="normal">18</mml:mn></mml:msubsup><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> and HDO compared to <inline-formula><mml:math id="M109" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn><mml:mn mathvariant="normal">16</mml:mn></mml:msubsup><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula>.
The influence of these effects on the inlet system were tested in a
laboratory setup after the field campaign. To this end, the inlet system from
the aircraft (Fig. <xref ref-type="fig" rid="App1.Ch1.F1"/>) was reassembled in the laboratory and extended by a set of switching valves that allowed the application of an airstream
at either <inline-formula><mml:math id="M110" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 3000 ppmv or <inline-formula><mml:math id="M111" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 10 000 ppmv humidity from two
different calibration units to the stainless steel end of the inlet system.
These switching experiments yielded a time constant of 2.3 <inline-formula><mml:math id="M112" display="inline"><mml:mi mathvariant="normal">s</mml:mi></mml:math></inline-formula> for
<inline-formula><mml:math id="M113" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D (1.7 <inline-formula><mml:math id="M114" display="inline"><mml:mi mathvariant="normal">s</mml:mi></mml:math></inline-formula> for <inline-formula><mml:math id="M115" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O) for switches from lower to
higher isotope concentrations and vice versa <xref ref-type="bibr" rid="bib1.bibx2" id="paren.49"/>. This
causes smoothing over <inline-formula><mml:math id="M116" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2–3 data points at a 1 Hz time resolution at
standard pressure and moderate humidity ranges. At lower humidity levels and
lower air pressure, it is likely that these time constants increase and also
lead to an increased memory effect during vertical (upward) profiles from
moist into dry air layers (see below).</p>
      <p>Stability tests of the CRDS isotope measurements were performed before,
during and after the HyMeX campaign using the WVISS as a standard vapour
source <xref ref-type="bibr" rid="bib1.bibx2" id="paren.50"/>. For these tests, calibration standard WS6 was
measured for several hours at a water vapour mixing ratio of
<inline-formula><mml:math id="M117" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 9000 <inline-formula><mml:math id="M118" display="inline"><mml:mi mathvariant="normal">ppmv</mml:mi></mml:math></inline-formula>. Stability was assessed using the Allan deviation.
The stability of the measurements degraded during the campaign, possibly
because of modifications to the mounting of the optical fibers inside the
CRDS, which had to be done for the flight certification of the instrument.
These issues also affected instrument stabilization and increased warm-up
time (up to 2 <inline-formula><mml:math id="M119" display="inline"><mml:mi mathvariant="normal">h</mml:mi></mml:math></inline-formula>). While any resulting drifts were removed by
calibration, precision generally decreased. At the averaging times considered
here, this mainly affected the d-excess during the later flights of the
campaign.</p>
      <p>From long-term stability tests, the standard deviation of the measurements
during the campaign for an averaging time of 60 <inline-formula><mml:math id="M120" display="inline"><mml:mi mathvariant="normal">s</mml:mi></mml:math></inline-formula> was 2.3 ‰
for <inline-formula><mml:math id="M121" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D, 0.36 ‰ for <inline-formula><mml:math id="M122" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O, and 1.18 ‰ for
d-excess (Table <xref ref-type="table" rid="Ch1.T3"/>). The dependency between averaging
times, horizontal and vertical resolution, and standard deviation for all
isotopic parameters is summarized in Table <xref ref-type="table" rid="Ch1.T3"/>. The
1<inline-formula><mml:math id="M123" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> standard deviation increased considerably at lower water
concentrations (Appendix <xref ref-type="sec" rid="App1.Ch1.S1.SS4"/>). Generally, the practical
meaning of the standard deviations is somewhat limited, as the atmospheric
isotope composition exhibited substantial variability on timescales of
seconds to minutes, in particular in the free troposphere (see below). As
changing evaporation conditions are expected to create signals in the
d-excess on the order of 10 ‰ and more, significant differences are
detectable at a 30–60 s averaging time, providing a d-excess with a spatial
resolution of up to 2–4 <inline-formula><mml:math id="M124" display="inline"><mml:mi mathvariant="normal">km</mml:mi></mml:math></inline-formula> horizontally and 150–300 <inline-formula><mml:math id="M125" display="inline"><mml:mi mathvariant="normal">m</mml:mi></mml:math></inline-formula>
vertically when descending at 5 <inline-formula><mml:math id="M126" display="inline"><mml:mrow><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>
(Table <xref ref-type="table" rid="Ch1.T3"/>). For the analysis presented here, we report
15 s averages for <inline-formula><mml:math id="M127" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D and <inline-formula><mml:math id="M128" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O and 30 s averages for the
d-excess unless stated otherwise. Since the d-excess measures how
<inline-formula><mml:math id="M129" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O deviates from the behaviour expected at equilibrium
conditions, we do not report the <inline-formula><mml:math id="M130" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O in detail here. Thus, we focus the discussion of
our own measurements mostly on the complementary parameters <inline-formula><mml:math id="M131" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D
and d-excess.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T3"><caption><p>Relation between averaging times and standard deviations, and the
resulting vertical and horizontal resolution at typical true air speed of
65 <inline-formula><mml:math id="M132" display="inline"><mml:mrow><mml:mi mathvariant="normal">m</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> horizontally and 5 <inline-formula><mml:math id="M133" display="inline"><mml:mrow><mml:mi mathvariant="normal">m</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> vertically at a
volume mixing ratio of 9000 ppmv.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.95}[.95]?><oasis:tgroup cols="7">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1">Averaging</oasis:entry>  
         <oasis:entry colname="col2">5</oasis:entry>  
         <oasis:entry colname="col3">10</oasis:entry>  
         <oasis:entry colname="col4">15</oasis:entry>  
         <oasis:entry colname="col5">30</oasis:entry>  
         <oasis:entry colname="col6">60</oasis:entry>  
         <oasis:entry colname="col7">180</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">time (s)</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>  
         <oasis:entry colname="col6"/>  
         <oasis:entry colname="col7"/>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M134" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D (‰)</oasis:entry>  
         <oasis:entry colname="col2">2.47</oasis:entry>  
         <oasis:entry colname="col3">2.39</oasis:entry>  
         <oasis:entry colname="col4">2.36</oasis:entry>  
         <oasis:entry colname="col5">2.33</oasis:entry>  
         <oasis:entry colname="col6">2.32</oasis:entry>  
         <oasis:entry colname="col7">2.33</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M135" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O (‰)</oasis:entry>  
         <oasis:entry colname="col2">0.50</oasis:entry>  
         <oasis:entry colname="col3">0.43</oasis:entry>  
         <oasis:entry colname="col4">0.40</oasis:entry>  
         <oasis:entry colname="col5">0.38</oasis:entry>  
         <oasis:entry colname="col6">0.36</oasis:entry>  
         <oasis:entry colname="col7">0.35</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">D-excess (‰)</oasis:entry>  
         <oasis:entry colname="col2">3.17</oasis:entry>  
         <oasis:entry colname="col3">2.29</oasis:entry>  
         <oasis:entry colname="col4">1.91</oasis:entry>  
         <oasis:entry colname="col5">1.47</oasis:entry>  
         <oasis:entry colname="col6">1.18</oasis:entry>  
         <oasis:entry colname="col7">0.93</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Horizontal</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>  
         <oasis:entry colname="col6"/>  
         <oasis:entry colname="col7"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">resolution (m)</oasis:entry>  
         <oasis:entry colname="col2">325</oasis:entry>  
         <oasis:entry colname="col3">650</oasis:entry>  
         <oasis:entry colname="col4">975</oasis:entry>  
         <oasis:entry colname="col5">1950</oasis:entry>  
         <oasis:entry colname="col6">3900</oasis:entry>  
         <oasis:entry colname="col7">11 700</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Vertical</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>  
         <oasis:entry colname="col6"/>  
         <oasis:entry colname="col7"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">resolution (m)</oasis:entry>  
         <oasis:entry colname="col2">25</oasis:entry>  
         <oasis:entry colname="col3">50</oasis:entry>  
         <oasis:entry colname="col4">75</oasis:entry>  
         <oasis:entry colname="col5">150</oasis:entry>  
         <oasis:entry colname="col6">300</oasis:entry>  
         <oasis:entry colname="col7">900</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

</sec>
<sec id="Ch1.S2.SS6">
  <title>Meteorological background conditions</title>
      <p>The climate of Corsica in autumn is characterized by warm sea waters and the
progressively increasing influence of cold air masses from northern
directions. Climatological rainfall totals in Bastia (42<inline-formula><mml:math id="M136" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>33<inline-formula><mml:math id="M137" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N, 9<inline-formula><mml:math id="M138" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>29<inline-formula><mml:math id="M139" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> E) increase from 65 <inline-formula><mml:math id="M140" display="inline"><mml:mi mathvariant="normal">mm</mml:mi></mml:math></inline-formula> in September to
110 <inline-formula><mml:math id="M141" display="inline"><mml:mi mathvariant="normal">mm</mml:mi></mml:math></inline-formula> in October (the wettest month of the year), albeit with large
inter-annual variability. Isolated deep convection frequently develops over
the mountainous island in autumn, favoured by an inland transport of water
vapour via thermally driven circulations <xref ref-type="bibr" rid="bib1.bibx8 bib1.bibx1" id="paren.51"/>. On the east coast north of Solenzara, 2 m air temperatures measured at the
energy balance station San Giuliano ranged between about 20 and 27 <inline-formula><mml:math id="M142" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C
during the day and 15–20 <inline-formula><mml:math id="M143" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C at night during the campaign period,
with a rainfall total of 222 <inline-formula><mml:math id="M144" display="inline"><mml:mi mathvariant="normal">mm</mml:mi></mml:math></inline-formula> for the 2-month period from
25 August 2016 to 25 October 2016.</p>
      <p>The climatological isotopic composition of atmospheric moisture and sea water
in this region is not known. Non-representative river runoff samples taken at
two elevations in the eastern part of the island during the campaign suggest
weakly depleted precipitation and enhanced non-equilibrium fractionation at
the moisture source prior to atmospheric transport
(<inline-formula><mml:math id="M145" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>41.7 <inline-formula><mml:math id="M146" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.8 ‰ in <inline-formula><mml:math id="M147" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D and <inline-formula><mml:math id="M148" display="inline"><mml:mrow><mml:mn mathvariant="normal">13.9</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.6</mml:mn></mml:mrow></mml:math></inline-formula> ‰ in
d-excess at 1000 m a.s.l.). The signal was similar but slightly weaker
further downstream, possibly due to evaporation of ground water and river
runoff (<inline-formula><mml:math id="M149" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>39.5 <inline-formula><mml:math id="M150" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.8 ‰ in <inline-formula><mml:math id="M151" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D and <inline-formula><mml:math id="M152" display="inline"><mml:mrow><mml:mn mathvariant="normal">9.7</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.6</mml:mn></mml:mrow></mml:math></inline-formula> ‰ in d-excess at 15 m a.s.l.). Coastal sea water from
Solenzara in contrast was enriched, and showed indications of non-equilibrium
fractionation due to ocean evaporation (<inline-formula><mml:math id="M153" display="inline"><mml:mrow><mml:mn mathvariant="normal">9.3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.8</mml:mn></mml:mrow></mml:math></inline-formula> ‰ in <inline-formula><mml:math id="M154" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D
and <inline-formula><mml:math id="M155" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>4.0 <inline-formula><mml:math id="M156" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.8 ‰ in d-excess from two samples). Due to the small
sample size, these values only provide approximate differences.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><caption><p>Vertical profiles of the mean thermodynamic and kinematic state of
the atmosphere observed during the campaign. <bold>(a)</bold> Specific humidity
from HCLY in gram per kilogram; <bold>(b)</bold> air temperature in kelvin;
<bold>(c)</bold> horizontal wind speed in metres per second. Overlaid are the
200 m binned averages as red lines. Horizontal red bars denote the bin
1<inline-formula><mml:math id="M157" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> standard deviation.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/6125/2017/acp-17-6125-2017-f03.pdf"/>

        </fig>

      <p>Vertical profiles of average humidity, temperature, and wind speed from all
flights with valid isotope measurements (Table <xref ref-type="table" rid="Ch1.T2"/>) are shown
in Fig. <xref ref-type="fig" rid="Ch1.F3"/>. Humidity decreases fairly linearly with height, and
has largest variations at low levels, ranging between 5 and
17 <inline-formula><mml:math id="M158" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="Ch1.F3"/>a). Above 1500 m a.s.l., very
low-humidity conditions were encountered, while variability remained
substantial up to the highest flight altitudes. Temperatures ranged between
18 and 32 <inline-formula><mml:math id="M159" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C at the ground and decreased with an average lapse rate
of 5.1 <inline-formula><mml:math id="M160" display="inline"><mml:mrow><mml:mi mathvariant="normal">K</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">km</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="Ch1.F3"/>b). Between elevations of 1500
and 3000 m a.s.l., some excursions to colder than average conditions can be
noted, which were associated with the advection of cold air from northerly
directions during flights 04 and 05 (not shown). Horizontal wind speeds were
generally weak during the flights, mostly below 10 <inline-formula><mml:math id="M161" display="inline"><mml:mrow><mml:mi mathvariant="normal">m</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> near the
ground, with some excursions of above 20 <inline-formula><mml:math id="M162" display="inline"><mml:mrow><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>
(Fig. <xref ref-type="fig" rid="Ch1.F3"/>c). Average wind was increased above 2000 m a.s.l. in
the free troposphere, but remained at a moderate 10–15 <inline-formula><mml:math id="M163" display="inline"><mml:mrow><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>.
Thus, the typical advection speed was below 400 <inline-formula><mml:math id="M164" display="inline"><mml:mrow><mml:mi mathvariant="normal">km</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">day</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in the
boundary layer and on the order of 800–1200 <inline-formula><mml:math id="M165" display="inline"><mml:mrow><mml:mi mathvariant="normal">km</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">day</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in the
free troposphere.</p>
      <p>The aircraft operated outside of clouds (visible flight rules, VFRs)
throughout the campaign. Therefore, relative humidity with respect to liquid
(RH) remained below saturation at the aircraft location for <inline-formula><mml:math id="M166" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 99 % of
all data points (not shown). Average cloudiness during the campaign was also
low, as subsidence dominated on the large scale. The exception were several
days with strong thunderstorms at the beginning of the campaign period
(2–5 September 2012).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><caption><p>Vertical profiles of the isotopic composition of ambient water
vapour for all valid flight data acquired during the campaign. Overlaid are
200 m binned mean (red solid line) and 200 m binned minimum and maximum
values (dashed red lines) of <bold>(a)</bold> <inline-formula><mml:math id="M167" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D,
<bold>(b)</bold> <inline-formula><mml:math id="M168" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O, and <bold>(c)</bold> d-excess. Data points with a
specific humidity below 2 <inline-formula><mml:math id="M169" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> are shown in blue. Bin averages
do not extend above 3700 m because of low data coverage.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/6125/2017/acp-17-6125-2017-f04.pdf"/>

        </fig>

</sec>
</sec>
<sec id="Ch1.S3">
  <title>Mean vertical stable isotope profiles</title>
      <p>Figure <xref ref-type="fig" rid="Ch1.F4"/> displays the averaged isotopic composition in the
western Mediterranean from all corrected and calibrated data from the 21
flights. The measurements reveal an unprecedented level of detail of the
isotope distribution in the western Mediterranean lower troposphere. The
200 m binned vertical profiles of the main isotopes <inline-formula><mml:math id="M170" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D and
<inline-formula><mml:math id="M171" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O have distinct, coherent shapes, showing an overall decrease
from close to the surface (<inline-formula><mml:math id="M172" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D <inline-formula><mml:math id="M173" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M174" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>96.7 ‰ and
<inline-formula><mml:math id="M175" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O <inline-formula><mml:math id="M176" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M177" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>14.1 ‰ between 0 and 200 m a.s.l.) to the
free troposphere (<inline-formula><mml:math id="M178" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D <inline-formula><mml:math id="M179" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M180" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>225.1 ‰ and
<inline-formula><mml:math id="M181" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O <inline-formula><mml:math id="M182" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M183" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>30.2 ‰ between 3400 and 3600 m a.s.l.;
Fig. <xref ref-type="fig" rid="Ch1.F4"/>a and b, thick red lines). The vertical gradients were
<inline-formula><mml:math id="M184" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>36.7 <inline-formula><mml:math id="M185" display="inline"><mml:mrow><mml:mi mathvariant="normal">‰</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">km</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> for <inline-formula><mml:math id="M186" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D and
<inline-formula><mml:math id="M187" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>4.2 <inline-formula><mml:math id="M188" display="inline"><mml:mrow><mml:mi mathvariant="normal">‰</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">km</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> for <inline-formula><mml:math id="M189" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O. At all
elevations, the distribution is skewed towards the minimum values, as is
apparent from the horizontal stripes of data points acquired during longer
horizontal transects. For this reason, the bin minimum and maximum values are
discussed, rather than the standard deviation. The bin maximum values
decrease less strongly than the bin means with vertical gradients of
<inline-formula><mml:math id="M190" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>16.7 <inline-formula><mml:math id="M191" display="inline"><mml:mrow><mml:mi mathvariant="normal">‰</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">km</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> for <inline-formula><mml:math id="M192" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D and
<inline-formula><mml:math id="M193" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2.1 <inline-formula><mml:math id="M194" display="inline"><mml:mrow><mml:mi mathvariant="normal">‰</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">km</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> for <inline-formula><mml:math id="M195" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O (Fig. <xref ref-type="fig" rid="Ch1.F4"/>a and
b, red dashed lines). The bin minimum values show a distinct decrease between
1700 and 2300 m a.s.l., which is to some extent reflected in the mean and
also leads to stronger vertical gradients of the minimum values
(<inline-formula><mml:math id="M196" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>51.9 <inline-formula><mml:math id="M197" display="inline"><mml:mrow><mml:mi mathvariant="normal">‰</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">km</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> for <inline-formula><mml:math id="M198" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D,
<inline-formula><mml:math id="M199" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>6.0 <inline-formula><mml:math id="M200" display="inline"><mml:mrow><mml:mi mathvariant="normal">‰</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">km</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> for <inline-formula><mml:math id="M201" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O). While there are
indications for further decreasing mean values above 3700 m a.s.l., data
are only available from one flight and are thus not sufficient to extend the
bin averaging to these elevations.</p>
      <p>The shape of the composite vertical profile of the d-excess is different from
that of the primary stable isotope parameters (Fig. <xref ref-type="fig" rid="Ch1.F4"/>c). Mean
values show a maximum close to the surface (16.0 ‰ between 0 and
200 m a.s.l.), decrease to an overall minimum bin mean of 4.9 ‰
between 1200 and 1400 m a.s.l., and then increase again to bin mean values
of 8–9 ‰ above 2800 m a.s.l. The bin minimum values are negative
throughout the profile (overall minimum <inline-formula><mml:math id="M202" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">15.7</mml:mn></mml:mrow></mml:math></inline-formula> ‰ at
1300 m a.s.l.). The d-excess maximum values show a marked linear decrease
from 60.2 ‰ close to the surface (between 0 and 200 m a.s.l.) to
about 21.2 ‰ at 1500 m a.s.l. and again a marked increase above
1700 m a.s.l. to relatively uniform maximum values around 60 ‰
above 2000 m a.s.l. Many of the high d-excess values aloft have been
sampled during relatively dry conditions (<inline-formula><mml:math id="M203" display="inline"><mml:mrow><mml:mi>q</mml:mi><mml:mo>&lt;</mml:mo></mml:mrow></mml:math></inline-formula> 2 <inline-formula><mml:math id="M204" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>,
indicated by the blue dots). The overall minimum in d-excess at
1300 m a.s.l. is an interesting finding, which is further investigated in
Sect. <xref ref-type="sec" rid="Ch1.S4.SS2"/>.</p>
      <p>It is known from several other studies that upper-tropospheric water vapour
can have high d-excess values <xref ref-type="bibr" rid="bib1.bibx22 bib1.bibx45" id="paren.52"/>. They are
partly due to the definition of the d-excess as a function of <inline-formula><mml:math id="M205" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D and
<inline-formula><mml:math id="M206" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O with a constant slope and to the non-linearity of the delta
scale. This provides further evidence that the high d-excess encountered
above the marine boundary layer is not an indication of insufficient data
quality but a real feature of the isotopic composition in the atmosphere.
That said, the precision of the d-excess measurements from the CRDS
instrument (in terms of signal-to-noise ratio) decreased substantially at
very low humidity during the flight (see Appendix <xref ref-type="sec" rid="App1.Ch1.S1.SS4"/>). This is
also where the humidity dependency response is most influential (see
Appendix <xref ref-type="sec" rid="App1.Ch1.S1.SS2"/>).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><caption><p><bold>(a)</bold> Comparison of HyMeX measurements of <inline-formula><mml:math id="M207" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D (mean and
range, black lines) to airborne <inline-formula><mml:math id="M208" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D data by <xref ref-type="bibr" rid="bib1.bibx19" id="text.53"/> and
<xref ref-type="bibr" rid="bib1.bibx21" id="text.54"/> from repeated flights over Death Valley, California (green
crosses), the Pacific Ocean off the coast of California (blue circles), and
Scottsbluff, Nebraska (red dots). <bold>(b)</bold> Comparison of HyMeX
measurements of <inline-formula><mml:math id="M209" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D and <bold>(c)</bold> d-excess (mean and range, black
lines) to flight measurements by <xref ref-type="bibr" rid="bib1.bibx28" id="text.55"/> over New England forests on
15 June 1996 (green), 17 July 1996 (blue), and 12 October 1996 (red). Red
circles and dashed lines denote data points for which <xref ref-type="bibr" rid="bib1.bibx28" id="text.56"/>
estimated the d-excess from all other measurements due to low-humidity
conditions.</p></caption>
        <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/6125/2017/acp-17-6125-2017-f05.pdf"/>

      </fig>

<sec id="Ch1.S3.SS1">
  <title>Comparison to previous airborne isotope measurements</title>
      <p>We now compare our western Mediterranean measurements to previous airborne
isotope measurements in other regions. A comprehensive sampling of stable
isotopes in tropospheric water vapour was carried out by <xref ref-type="bibr" rid="bib1.bibx19" id="text.57"/>
during 1965–67 and 1971–1973 over three marine and continental sites in the
US. These <inline-formula><mml:math id="M210" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D data are from water vapour collected in cold traps during
flight legs at constant altitude for 10–60 <inline-formula><mml:math id="M211" display="inline"><mml:mi mathvariant="normal">min</mml:mi></mml:math></inline-formula>. The data cover a
large variety of weather conditions from all seasons and different climatic
regimes (Fig. <xref ref-type="fig" rid="Ch1.F5"/>a). There is a clear correspondence between
the envelope of the HyMeX data (Fig. <xref ref-type="fig" rid="Ch1.F5"/>a, black dashed
lines) and the Ehhalt data for the samples above Scottsbluff, Nebraska
(Fig. <xref ref-type="fig" rid="Ch1.F5"/>a, red dots; no data below 1500 m a.s.l.). The
HyMeX data are more depleted above 2000 m a.s.l. than their measurements
over the Pacific Ocean but agree well at lower altitudes
(Fig. <xref ref-type="fig" rid="Ch1.F5"/>a, blue circles). In comparison to Death Valley,
California, the HyMeX data were generally more enriched near the surface and
showed a lesser gradient with height, reflecting more well-mixed conditions
above the desert (Fig. <xref ref-type="fig" rid="Ch1.F5"/>a, green crosses).</p>
      <p><xref ref-type="bibr" rid="bib1.bibx28" id="text.58"/> reported the isotopic composition of trap-collected water
vapour from three flights over the forests of New England
(Fig. <xref ref-type="fig" rid="Ch1.F5"/>b and c). For the <inline-formula><mml:math id="M212" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D, there is generally
good correspondence between their data points from the two summer flights
(Fig. <xref ref-type="fig" rid="Ch1.F5"/>b, blue and green lines) and the average HyMeX
profile (thick black line). The d-excess data fit within the envelope of the
HyMeX data (Fig. <xref ref-type="fig" rid="Ch1.F5"/>c). Note, however, that because of the low
humidity, <xref ref-type="bibr" rid="bib1.bibx28" id="text.59"/> estimated the upper part of the red profile from all
other measurements during their flights. Overall, the HyMeX data are thus in
good correspondence with previously acquired tropospheric aircraft data, both
in terms of the range and vertical variability, while adding a large amount
of information on the shorter timescales and smaller spatial scales. In the
next section, we attempt an interpretation of the HyMeX stable isotope data
in terms of processes shaping the observed vertical structures.</p>
</sec>
</sec>
<sec id="Ch1.S4">
  <title>Processes shaping the observed mean profiles</title>
      <p>We now explore two hypotheses on how the observed mean isotope profiles could
have been caused. The composite profiles (Fig. <xref ref-type="fig" rid="Ch1.F4"/>) likely reflect
the substantially different isotopic composition of water vapour in the
(mostly marine) boundary layer and the depleted free troposphere above. An
earlier interpretation of the vertical gradient of the stable isotopes is
based on the increasing depletion due to a Rayleigh fractionation process
<xref ref-type="bibr" rid="bib1.bibx26 bib1.bibx43" id="paren.60"/>. Thereby, fractionation during a moist
adiabatic ascent leads to progressive depletion higher up in the atmosphere,
as can be described in terms of a simple model. The mean values in the free
troposphere (blue values above 1700 m a.s.l.) decrease in line with what
can be expected from Rayleigh fractionation (see below). Alternatively,
adopting an air mass mixing perspective, the maximum values of the primary
isotope parameters could reflect the end member of water vapour from the sea
surface, close to equilibrium conditions, which due to typically well-mixed
conditions is almost constant up to 1200 m a.s.l. The slowly decreasing
maximum values above are then a result of the (increasingly less likely)
detrainment of such end-member boundary-layer air to the free troposphere and
vice versa. The minimum values of <inline-formula><mml:math id="M213" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D and <inline-formula><mml:math id="M214" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O above
1700 m a.s.l. would then reflect air masses of a different, higher-elevation
origin, for instance due to descending air masses. Then, the low values below
1700 m a.s.l. might reflect entrainment and mixing of such depleted water
vapour into the boundary layer. As descending air masses are typically dry,
the impact on the isotope composition will be lower during downward mixing
than upward mixing. This is in agreement with the larger vertical gradient of
the minimum values in the boundary layer compared to the maximum values. The
plausibility of these two hypotheses is further investigated in the following
sections.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><caption><p>Scatter diagrams of <bold>(a)</bold> <inline-formula><mml:math id="M215" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D (‰) and
<bold>(b)</bold> d-excess (‰) versus specific humidity <inline-formula><mml:math id="M216" display="inline"><mml:mi>q</mml:mi></mml:math></inline-formula>
(<inline-formula><mml:math id="M217" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>). Shown are 30 s averaged data from all valid flights.
Data points acquired below 500 (1700) m a.s.l. are marked in red (blue).
Coloured curves in <bold>(a)</bold> represent idealized mixing (solid lines) and
Rayleigh fractionation processes (dashed lines) as described in the main
text. Upper <inline-formula><mml:math id="M218" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula> axis gives water concentration in units of parts per million by volume for easier
comparison with other published studies. Green line in <bold>(b)</bold>
represents d-excess from a Rayleigh fractionation process. Black line in
<bold>(b)</bold> is a bin average. Purple points with error bars show the
uncertainty resulting from the isotope–humidity response correction at
different humidity levels. Note that the d-excess axis in <bold>(b)</bold> is
inverted for display purposes.</p></caption>
        <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/6125/2017/acp-17-6125-2017-f06.pdf"/>

      </fig>

<sec id="Ch1.S4.SS1">
  <?xmltex \opttitle{Specific-humidity dependence of $\delta$D}?><title>Specific-humidity dependence of <inline-formula><mml:math id="M219" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D</title>
      <p>One way to display the additional information contained in the stable
isotopes is the <inline-formula><mml:math id="M220" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D–<inline-formula><mml:math id="M221" display="inline"><mml:mi>q</mml:mi></mml:math></inline-formula> diagram <xref ref-type="bibr" rid="bib1.bibx38" id="paren.61"><named-content content-type="pre">e.g.</named-content></xref>. The data
cloud in the <inline-formula><mml:math id="M222" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D–<inline-formula><mml:math id="M223" display="inline"><mml:mi>q</mml:mi></mml:math></inline-formula> diagram using all valid HyMeX data
(Fig. <xref ref-type="fig" rid="Ch1.F6"/>a) can be interpreted as the range of different Rayleigh
fractionation regimes the moist air experienced
<xref ref-type="bibr" rid="bib1.bibx43 bib1.bibx60" id="paren.62"><named-content content-type="pre">e.g.</named-content></xref>. Initially, the boundary-layer air
below 1700 m a.s.l. (blue and red data points) is quite moist
(<inline-formula><mml:math id="M224" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 10–20 <inline-formula><mml:math id="M225" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) and ranges mostly between <inline-formula><mml:math id="M226" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>100 and
<inline-formula><mml:math id="M227" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>70 ‰ for <inline-formula><mml:math id="M228" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D and is in isotopic equilibrium with a source
<inline-formula><mml:math id="M229" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D of 0 ‰ at sea surface temperatures
(SSTs) between 8 and 33 <inline-formula><mml:math id="M230" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, with an average of 21 <inline-formula><mml:math id="M231" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C. This matches
with typical SST observations around Corsica obtained from the IR surface
thermometer (e.g. <inline-formula><mml:math id="M232" display="inline"><mml:mrow><mml:mn mathvariant="normal">23.0</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">4.7</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M233" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C during flight 09). The increasing depletion
of the data with decreasing specific humidity could then reflect a typical
equilibrium fractionation pathway expected from a moist adiabatic
condensation process <xref ref-type="bibr" rid="bib1.bibx23" id="paren.63"><named-content content-type="pre">the canonic Rayleigh fractionation;
e.g.</named-content></xref>. The dashed lines in Fig. <xref ref-type="fig" rid="Ch1.F6"/>a show some Rayleigh
processes starting at different initial conditions. The Rayleigh process,
however, requires saturated moist adiabatic ascent, without exchange with the
surroundings, a condition hardly observed during the mostly cloud-free HyMeX
campaign period. Furthermore, the Rayleigh fractionation lines seem to follow
too steep a depletion pathway compared to apparent lines in the data set that
connect the more and less depleted data points in Fig. <xref ref-type="fig" rid="Ch1.F6"/>a.</p>
      <p>An alternative interpretation of the <inline-formula><mml:math id="M234" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D–<inline-formula><mml:math id="M235" display="inline"><mml:mi>q</mml:mi></mml:math></inline-formula> diagram is to consider
these apparent curves as mixing lines between two end members of different
isotopic composition <xref ref-type="bibr" rid="bib1.bibx38" id="paren.64"/>. Then, one end member is the free-troposphere air with low specific humidity and strong depletion and the
other is boundary-layer air with high specific humidity and weak depletion.
Different blends due to vertical mixing processes then produce bent mixing
lines in the <inline-formula><mml:math id="M236" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D–<inline-formula><mml:math id="M237" display="inline"><mml:mi>q</mml:mi></mml:math></inline-formula> diagram. Such mixing lines are shown by the solid
curves in Fig. <xref ref-type="fig" rid="Ch1.F6"/>a. As an example, the detrainment of isolated
plumes of moist air with a typical specific humidity of
12 <inline-formula><mml:math id="M238" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, forced upward by ascent over the steep topography of
Corsica, and subsequent mixing at a ratio of <inline-formula><mml:math id="M239" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:math></inline-formula> with a dry and depleted
end member (for example, <inline-formula><mml:math id="M240" display="inline"><mml:mrow><mml:mi>q</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M241" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>;
<inline-formula><mml:math id="M242" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D <inline-formula><mml:math id="M243" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M244" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>250 ‰) will provide an air mass with
3.4 <inline-formula><mml:math id="M245" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> specific humidity and <inline-formula><mml:math id="M246" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>168 ‰ <inline-formula><mml:math id="M247" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D.</p>
      <p>Three arbitrary mixing scenarios are shown as solid coloured curves in
Fig. <xref ref-type="fig" rid="Ch1.F6"/>a that could explain a large share of the data. When a
relatively dry and moderately depleted air mass (5.0 <inline-formula><mml:math id="M248" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>;
<inline-formula><mml:math id="M249" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>200 ‰) is repeatedly mixed with an equal volume of moister and
less depleted boundary-layer air (16 <inline-formula><mml:math id="M250" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>; <inline-formula><mml:math id="M251" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>90 %), the
solid black mixing line results. This mixing line is a lower-right (depleted
<inline-formula><mml:math id="M252" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D and high humidity) bound to most of the blue and red data points and represents shallow mixing within the lowermost 1700 m a.s.l. The solid
orange line has a boundary-layer end member with <inline-formula><mml:math id="M253" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>80 ‰ <inline-formula><mml:math id="M254" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D
and 15.0 <inline-formula><mml:math id="M255" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> specific humidity and a free-troposphere end
member at <inline-formula><mml:math id="M256" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>300 ‰ and 1.0 <inline-formula><mml:math id="M257" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. This mixing line
provides an upper-right bound (enriched <inline-formula><mml:math id="M258" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D and high humidity) to the
low-elevation data (blue and red data points), which would result from mixing
with free-troposphere air.</p>
      <p>The black data points measured above 1700 m a.s.l. generally cover drier
conditions and stronger isotopic depletion. The solid green curve shows an
exemplary mixing line resulting from a moist and less depleted end member in
the upper boundary layer (8.0 <inline-formula><mml:math id="M259" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>; <inline-formula><mml:math id="M260" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>100 ‰) and a
very dry and depleted free-tropospheric air mass (0.5 <inline-formula><mml:math id="M261" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>;
<inline-formula><mml:math id="M262" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>220 ‰). The depleted end member of the green mixing line cannot
be explained by a Rayleigh model for surface conditions encountered within
our data set (specific humidity at the surface <inline-formula><mml:math id="M263" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 5 <inline-formula><mml:math id="M264" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math id="M265" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D <inline-formula><mml:math id="M266" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M267" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>140 ‰).While this curve explains some of the most
enriched low-humidity values, many other combinations are possible. In
general, this analysis shows that a substantial part of the data can be
explained by two kinds of mixing processes: one taking place between moisture
originating from surface evaporation and the boundary layer and one between
moderately depleted and moist air from the upper boundary layer which is
entrained into the dry free troposphere.</p>
      <p>While our measurements were done almost exclusively in unsaturated
conditions, fractionation during Rayleigh-type condensation processes is
obviously required to obtain depleted end members in the first place.
However, this depletion process during a moist adiabatic ascent can have
taken place far away, for example in tropical deep convection or ascent in a
warm conveyor belt related to an extratropical cyclone, before being advected
to the Mediterranean free troposphere (see Sect. <xref ref-type="sec" rid="Ch1.S7"/>).</p>
</sec>
<sec id="Ch1.S4.SS2">
  <title>Specific-humidity dependence of the d-excess</title>
      <p>A similar analysis can be done for the non-equilibrium fractionation
indicator d-excess. The cloud of all valid HyMeX measurement data can be
separated into three regions with different characteristics
(Fig. <xref ref-type="fig" rid="Ch1.F6"/>b). The d-excess measurements acquired between 500 and
1700 m a.s.l. are located in a regime of high specific humidity with a mean
of about 6 <inline-formula><mml:math id="M268" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (blue data points). In this range, d-excess
averages at about 0–10 ‰, but with distinct excursions into much
higher values as shown by the bin average (black line). The red points show
d-excess measurements acquired below 500 m a.s.l. Here, d-excess ranges
between 0 and 40 ‰. Many of the high d-excess values were acquired
at low-elevation transects over the ocean, thus likely representing the
imprint of the non-equilibrium fractionation conditions due to the low
relative humidity with respect to SST during evaporation.</p>
      <p>The branch of free-troposphere measurements (<inline-formula><mml:math id="M269" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 1700 m a.s.l.;
Fig. <xref ref-type="fig" rid="Ch1.F6"/>b, black dots) extends from a d-excess of about
0 ‰ at <inline-formula><mml:math id="M270" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 5 <inline-formula><mml:math id="M271" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> to progressively higher, values
of up to 60 ‰ as the specific humidity decreases to below
0.5 <inline-formula><mml:math id="M272" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. As noted in Sect. <xref ref-type="sec" rid="Ch1.S2"/>, the uncertainty of
the d-excess data beyond this value is strongly enhanced by the correction
for the humidity dependence of the CRDS isotope measurements
(Fig. <xref ref-type="fig" rid="Ch1.F6"/>b, purple bars). It is noteworthy that almost all
measurements at low humidity have high d-excess values and that there is an
apparently seamless transition from high d-excess at below
2 <inline-formula><mml:math id="M273" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> to lower d-excess at 2–4 <inline-formula><mml:math id="M274" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. In
addition to the arguments brought forward in Sect. <xref ref-type="sec" rid="Ch1.S3"/>,
this further supports our interpretation of the high and increasing d-excess
as an actual geophysical signal.</p>
      <p>The solid green line in Fig. <xref ref-type="fig" rid="Ch1.F6"/>a shows the d-excess expected from
a Rayleigh fractionation process starting at 10 <inline-formula><mml:math id="M275" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C surface air
temperature and an isotopic composition of <inline-formula><mml:math id="M276" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D <inline-formula><mml:math id="M277" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M278" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>86 ‰
and <inline-formula><mml:math id="M279" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O <inline-formula><mml:math id="M280" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M281" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>12 ‰ (d-excess <inline-formula><mml:math id="M282" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 10 ‰). The
shape of the curve illustrates that equilibrium fractionation can strongly
impact the d-excess due to the different temperature dependency of the
fractionation factors <xref ref-type="bibr" rid="bib1.bibx48" id="paren.65"><named-content content-type="pre">e.g. Duetsch et al., 2017</named-content></xref>.
Note that the displayed green line provides an upper bound to the increase in
d-excess with decreasing humidity. Mixing processes generally seem to act
towards lowering the d-excess relative to that upper bound.</p>
      <p>The combination of the high d-excess in the free troposphere and the data
points influenced by surface evaporation produce an apparent minimum of the
d-excess at <inline-formula><mml:math id="M283" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 4 <inline-formula><mml:math id="M284" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, in correspondence with the vertical
profile (Fig. <xref ref-type="fig" rid="Ch1.F4"/>c). In addition, there are many data points with
d-excess below 0 ‰, mostly at specific humidity between 2 and
8 <inline-formula><mml:math id="M285" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. Negative d-excess in water vapour can be due to the
evaporation of rainfall or from continental moisture sources due to strong
soil evaporation. During evaporation, the d-excess of raindrops is reduced
<xref ref-type="bibr" rid="bib1.bibx5" id="paren.66"/>, while a relatively enhanced d-excess is transferred
to the surrounding vapour. When these droplets evaporate completely, however,
they cause a negative imprint on the surrounding
vapour<xref ref-type="bibr" rid="bib1.bibx23" id="paren.67"><named-content content-type="pre">e.g.</named-content></xref>. Evaporating rainfall or dissolving
(evaporating) clouds could thus create a vertical gradient of d-excess in
vapour under certain conditions. Thereby, vapour with decreasing d-excess is
contributed to the environment as more of the raindrops evaporate during
their fall. We speculate that near the boundary-layer top, the contribution
of rainfall and cloud evaporation to the vapour is largest. One could, for
example, conceive of a situation where boundary-layer top cumuli locally
produce rainfall in a saturated environment, whereas evaporation occurs in
the immediate vicinity and below the cloud in regions influenced by dry-air
entrainment from the free troposphere above. Being relatively far away from
the high d-excess created during surface evaporation, this combination of
processes could potentially shape an overall d-excess minimum in the vertical
profiles. The predominance of d-excess values close to 10 ‰ as in
the global meteoric water line, rather than the occasional high values
representing enhanced non-equilibrium fractionation during evaporation,
suggests that overall evaporation conditions at the moisture sources were not
characterized by strong non-equilibrium conditions or that newly evaporated
water contributed comparatively little to the available moisture in the
boundary layer. In our data set, the high d-excess signal from local,
short-lived intense evaporation events thus seems to disperse with altitude.
<xref ref-type="bibr" rid="bib1.bibx10 bib1.bibx11" id="text.68"/> highlight the importance of mixing processes
between surface vapour and the free troposphere in the marine boundary layer.
From analysing ship-based isotope measurements in the subtropical east
Atlantic with an idealized model, <xref ref-type="bibr" rid="bib1.bibx11" id="text.69"/> conclude that mixing
with free-troposphere air is more important for the primary isotope
parameters than for d-excess, which is mainly controlled by non-equilibrium
effects during evaporation, a finding that may be specific to
evaporation-dominated situations. In this comparison, it is important to note
that the lowest measurement altitude of the aircraft was at 150 m a.s.l.,
making direct comparison to ship-based measurements difficult.
<xref ref-type="bibr" rid="bib1.bibx25" id="text.70"/> even noted a vertical isotope gradient for different
measurement altitudes on a ship. Thus, the influence of the free troposphere
at our lowest measurement altitude may already be higher than for ship-based
measurements. This also points to deviations from the well-mixed conditions
of the isotopic composition in the marine boundary layer assumed above.</p>
</sec>
</sec>
<sec id="Ch1.S5">
  <title>Evolution of the vertical stable isotope structure on several days in sequence</title>
      <p>The contrast between weakly depleted water vapour in the boundary layer and
moderately to strongly depleted water vapour in the free troposphere is
further explored now by considering the atmospheric environment and airborne
measurements during specific flights. As will be exemplified below, diurnal
variability and larger-scale processes jointly shape the vertical
stratification reflected in the isotope profiles.</p>
      <p>A sequence of three flights was executed following pattern 3
(Fig. <xref ref-type="fig" rid="Ch1.F1"/>) between 20 and 21 September 2012 (flights 09–11). The
pattern consisted of several east–west transects across the island, a
low-level leg over the sea to the west, and vertical profiles over the island
and to the east and west of it (Fig. <xref ref-type="fig" rid="Ch1.F8"/>a, white line;
Fig. <xref ref-type="fig" rid="Ch1.F1"/>, green line). The vertical profile northwest of Corsica
was also included in pattern 1, which was flown after the sequence, on
23 September 2012 (flight 12). This sequence of flights allows for
investigating the development of the vertical isotope profiles for four
flights and on 4 days. The period from 20 to 23 September 2012 was marked by
pronounced differences in the vertical stratification of the lower and middle
troposphere. On 20 September, ex-Hurricane Nadine was located at the upstream
side of an upper-level ridge near 30<inline-formula><mml:math id="M286" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W and 35<inline-formula><mml:math id="M287" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, in close
proximity to an equatorward extending potential
vorticity streamer (Fig. <xref ref-type="fig" rid="Ch1.F7"/>, thick black contour).
Interaction between these two dynamical features determined the synoptic
evolution over the western Mediterranean during the following days.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7"><caption><p>Weather situation at 12:00 UTC, 21 September 2012 (flights 09–11).
Shown are sea level pressure (black lines, 3 hPa contour interval),
equivalent potential temperature at 850 <inline-formula><mml:math id="M288" display="inline"><mml:mi mathvariant="normal">hPa</mml:mi></mml:math></inline-formula> (colour shading, 1 K
interval), and the tropopause structure depicted by a contour of two potential
vorticity units on the 315 K isentrope (thick black line) from ECMWF
analysis data.</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/6125/2017/acp-17-6125-2017-f07.png"/>

      </fig>

      <p>Initially, the eastern flank of a large upper-level ridge was located over
Corsica, leading to the advection of air masses from the northwest with wind
speeds of <inline-formula><mml:math id="M289" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 16 <inline-formula><mml:math id="M290" display="inline"><mml:mrow><mml:mi mathvariant="normal">m</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> on 500 <inline-formula><mml:math id="M291" display="inline"><mml:mi mathvariant="normal">hPa</mml:mi></mml:math></inline-formula>
(Fig. <xref ref-type="fig" rid="Ch1.F8"/>a, white arrows; Fig. <xref ref-type="fig" rid="Ch1.F7"/>, black
contour). Central Europe was under the influence of a high-pressure system,
and the Mediterranean experienced intermediate temperatures, with
282–286 <inline-formula><mml:math id="M292" display="inline"><mml:mi mathvariant="normal">K</mml:mi></mml:math></inline-formula> on 850 <inline-formula><mml:math id="M293" display="inline"><mml:mi mathvariant="normal">hPa</mml:mi></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="Ch1.F7"/>, colour
shading). The region of interest was almost cloud-free
(Fig. <xref ref-type="fig" rid="Ch1.F8"/>a, shading). Winds were from northerly directions with
speeds of about 7 <inline-formula><mml:math id="M294" display="inline"><mml:mrow><mml:mi mathvariant="normal">m</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> on 700 <inline-formula><mml:math id="M295" display="inline"><mml:mi mathvariant="normal">hPa</mml:mi></mml:math></inline-formula> and associated with
cold-air advection throughout the lower troposphere (Fig. <xref ref-type="fig" rid="Ch1.F8"/>a,
red arrows). During the first flight of this sequence (flight 09) at
20 September 2012, a vertical profile was flown at the northwest end of
flight pattern 3, west of Corsica over the Mediterranean Sea
(Fig. <xref ref-type="fig" rid="Ch1.F8"/>a, cyan line).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><caption><p>Cloudiness and winds at <bold>(a)</bold> 09:00 UTC, 20 September 2012, during flight 09, <bold>(b)</bold> 09:00 UTC, 21 September 2012, during flights 10
and 11, and <bold>(c)</bold> 09:00 UTC, 23 September 2012, during flight 12. Shown
is Meteosat 9 infrared imagery with flight track (white line) and aircraft
position during the profiles (cyan line) with ECMWF analysis winds at
500 <inline-formula><mml:math id="M296" display="inline"><mml:mi mathvariant="normal">hPa</mml:mi></mml:math></inline-formula> (white arrows) and 925 <inline-formula><mml:math id="M297" display="inline"><mml:mi mathvariant="normal">hPa</mml:mi></mml:math></inline-formula> (red arrows)
overlayed.</p></caption>
        <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/6125/2017/acp-17-6125-2017-f08.pdf"/>

      </fig>

      <p>Figure <xref ref-type="fig" rid="Ch1.F9"/>a–d displays the temperature, specific humidity,
and the stable isotope parameters at the vertical profile during flight 09.
The temperature profile depicts two pronounced inversions between 900–1000
and 2300–2500 m a.s.l., which are well reproduced during ascent and
descent (Fig. <xref ref-type="fig" rid="Ch1.F9"/>a, black and grey lines). The boundary layer
below 900 m a.s.l. and the layer above 2500 m a.s.l. are both well-mixed, with uniform lapse rates of 7.3 and 6.0 <inline-formula><mml:math id="M298" display="inline"><mml:mrow><mml:mi mathvariant="normal">K</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">km</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, respectively. The
intermediate layer has a lapse rate of <inline-formula><mml:math id="M299" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>7.6 <inline-formula><mml:math id="M300" display="inline"><mml:mrow><mml:mi mathvariant="normal">K</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">km</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> and an
approximately isothermal lower end that shows enhanced temperature
variability. The profile of specific humidity shows changes corresponding to
the observed thermal structure (Fig. <xref ref-type="fig" rid="Ch1.F9"/>b). The boundary layer
has a specific humidity of <inline-formula><mml:math id="M301" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 9–11 <inline-formula><mml:math id="M302" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, which drops to
substantially lower values (3–5 <inline-formula><mml:math id="M303" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) at and above the capping
inversion. As for temperature, humidity variations are enhanced between 1000
and 1700 m a.s.l., possibly related to the partial cloud cover observed in
the satellite image (relative humidity reached 90 % between 600 and
900 m a.s.l.). Specific humidity drops to uniformly very low values
(1–2 <inline-formula><mml:math id="M304" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) at the upper inversion. Some difference between the
upward and downward profile is apparent for humidity
(Fig. <xref ref-type="fig" rid="Ch1.F9"/>b, black and grey lines).</p>
      <p>The vertical profile of <inline-formula><mml:math id="M305" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D (Fig. <xref ref-type="fig" rid="Ch1.F9"/>c) in turn
corresponds to the humidity profile. In the boundary layer, values of weak
depletion (<inline-formula><mml:math id="M306" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>90 to <inline-formula><mml:math id="M307" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>100 ‰ <inline-formula><mml:math id="M308" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D) reflect proximity to the
evaporation source. At the capping inversion (900 m a.s.l.) <inline-formula><mml:math id="M309" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D drops
to <inline-formula><mml:math id="M310" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>150 ‰, with increased variability. Above 1700 m a.s.l.
<inline-formula><mml:math id="M311" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D increases again to <inline-formula><mml:math id="M312" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>120 ‰. This isotopic inversion
together with the specific humidity information confirms that the layer
between 1000 and 2300 <inline-formula><mml:math id="M313" display="inline"><mml:mi mathvariant="normal">m</mml:mi></mml:math></inline-formula> actually consists of two layers of different
origin or air mass history. Without the isotope measurements this distinction
could hardly be made. Repeatability is lower for the upward and downward profiles
for <inline-formula><mml:math id="M314" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D, in particular above 2300 m a.s.l. The downward profile
(black line) is expected to be more reliable, as memory effects are smaller
when moving from dry to moister conditions during descent
(Appendix <xref ref-type="sec" rid="App1.Ch1.S1.SS4"/>). Note that the coherent variability across the
three available specific-humidity measurements point to at least a partial
contribution from spatial variability (not shown). A further influence may
come from the pressure dependency of the CRDS measurements during upward and
downward motion of the aircraft (Appendix <xref ref-type="sec" rid="App1.Ch1.S1.SS5"/>).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><caption><p>Vertical profiles of air temperature (<inline-formula><mml:math id="M315" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M316" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C; first
column), specific humidity (<inline-formula><mml:math id="M317" display="inline"><mml:mi>q</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M318" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>; second column), <inline-formula><mml:math id="M319" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D
(‰; third column), and the d-excess (‰; fourth column) for
flights 09–12 conducted during 21–23 September 2012. Only downward profiles
are shown as they are less affected by memory than upward profiles. Red lines
in panels <bold>(i)</bold> to <bold>(l)</bold> show the downward profile acquired
during flight 12.</p></caption>
        <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/6125/2017/acp-17-6125-2017-f09.pdf"/>

      </fig>

      <p>The shape of the d-excess profile (Fig. <xref ref-type="fig" rid="Ch1.F9"/>d) does not reflect
the thermodynamic structure observed in temperature and humidity. In the
lowermost 300 m a.s.l. values of up to 40 ‰ are measured for the
d-excess. This likely reflects non-equilibrium fractionation during intense
evaporation in the marine surface layer at the aircraft location or upstream.
As a proxy for the d-excess during evaporation, relative humidity with
respect to SST (RH<inline-formula><mml:math id="M320" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">SST</mml:mi></mml:msub></mml:math></inline-formula>) has been calculated from <inline-formula><mml:math id="M321" display="inline"><mml:mrow><mml:msub><mml:mi>q</mml:mi><mml:mi mathvariant="normal">HCLY</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>
at flight altitude and the skin temperature measured from the infrared
radiometer (Table <xref ref-type="table" rid="Ch1.T1"/>). The observed d-excess of
<inline-formula><mml:math id="M322" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 30 ‰ corresponds to an RH<inline-formula><mml:math id="M323" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">SST</mml:mi></mml:msub></mml:math></inline-formula> of <inline-formula><mml:math id="M324" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 40 %
(Pfahl and Sodemann, 2014), slightly lower than the measurements along a
low-level transect immediately following the profile (RH<inline-formula><mml:math id="M325" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">SST</mml:mi></mml:msub></mml:math></inline-formula> of
<inline-formula><mml:math id="M326" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 48 % at 150 m a.s.l.; Table <xref ref-type="table" rid="Ch1.T4"/>, second row).
It is noteworthy that the SST is more than 5 <inline-formula><mml:math id="M327" display="inline"><mml:mi mathvariant="normal">K</mml:mi></mml:math></inline-formula> warmer than the air
temperature at 150 m a.s.l., which suggests that the at the elevation of
the aircraft measurements, the atmosphere may not yet be fully coupled to the
surface conditions at this time of day. Nonetheless, the d-excess indicates
strong non-equilibrium fractionation conditions at the underlying sea surface
during intense evaporation. The d-excess decreases to <inline-formula><mml:math id="M328" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 15 ‰
in the layer between 300 and 1500 m a.s.l. and shows values near 10 ‰
between 1500 and 2300 m a.s.l., before increasing to more than
60 ‰ at the highest part of the profile. The d-excess is fairly well
reproduced for the upward and downward profile, with most pronounced
differences in the very dry part of the profile above 2300 m a.s.l.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T4" specific-use="star"><caption><p>Mean and standard deviation of meteorological and isotopic
parameters measured during the low-level transects over open water during
flights 09–11 as part of flight pattern 3. <bold>(a)</bold> Values are mean and
standard deviation of 15 s mean data of the parameters WD (wind direction),
WS (wind speed), and RH (relative humidity). <bold>(b)</bold> As <bold>(a)</bold>,
but for the parameters RH<inline-formula><mml:math id="M329" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">SST</mml:mi></mml:msub></mml:math></inline-formula> (relative humidity with respect to
SST), SST, and the isotopic parameters <inline-formula><mml:math id="M330" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O, <inline-formula><mml:math id="M331" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D, and
d-excess.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="9">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="center"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:colspec colnum="9" colname="col9" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry namest="col1" nameend="col9"><bold>(a)</bold></oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">Flight</oasis:entry>  
         <oasis:entry colname="col2">Time</oasis:entry>  
         <oasis:entry colname="col3">Segment</oasis:entry>  
         <oasis:entry colname="col4">GPS altitude</oasis:entry>  
         <oasis:entry colname="col5">WD</oasis:entry>  
         <oasis:entry colname="col6">WS</oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M332" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mi mathvariant="normal">air</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math id="M333" display="inline"><mml:mi>q</mml:mi></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col9">RH</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">(UTC)</oasis:entry>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4">(m a.s.l.)</oasis:entry>  
         <oasis:entry colname="col5">(<inline-formula><mml:math id="M334" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col6">(<inline-formula><mml:math id="M335" display="inline"><mml:mrow><mml:mi mathvariant="normal">m</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>)</oasis:entry>  
         <oasis:entry colname="col7">(<inline-formula><mml:math id="M336" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C)</oasis:entry>  
         <oasis:entry colname="col8"/>  
         <oasis:entry colname="col9">(%)</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">9</oasis:entry>  
         <oasis:entry colname="col2">08:08:50–08:19:20</oasis:entry>  
         <oasis:entry colname="col3">B</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M337" display="inline"><mml:mrow><mml:mn mathvariant="normal">154.3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">4.1</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M338" display="inline"><mml:mrow><mml:mn mathvariant="normal">39.1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">48.0</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math id="M339" display="inline"><mml:mrow><mml:mn mathvariant="normal">6.4</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M340" display="inline"><mml:mrow><mml:mn mathvariant="normal">20.7</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math id="M341" display="inline"><mml:mrow><mml:mn mathvariant="normal">12.0</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math id="M342" display="inline"><mml:mrow><mml:mn mathvariant="normal">77.1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.5</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">9</oasis:entry>  
         <oasis:entry colname="col2">09:00:40–09:17:35</oasis:entry>  
         <oasis:entry colname="col3">E</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M343" display="inline"><mml:mrow><mml:mn mathvariant="normal">156.3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3.6</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M344" display="inline"><mml:mrow><mml:mn mathvariant="normal">225.9</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">14.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math id="M345" display="inline"><mml:mrow><mml:mn mathvariant="normal">4.0</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.0</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M346" display="inline"><mml:mrow><mml:mn mathvariant="normal">19.3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math id="M347" display="inline"><mml:mrow><mml:mn mathvariant="normal">9.6</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math id="M348" display="inline"><mml:mrow><mml:mn mathvariant="normal">67.0</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2.8</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">10</oasis:entry>  
         <oasis:entry colname="col2">07:15:35–07:24:35</oasis:entry>  
         <oasis:entry colname="col3">B</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M349" display="inline"><mml:mrow><mml:mn mathvariant="normal">155.0</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2.6</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M350" display="inline"><mml:mrow><mml:mn mathvariant="normal">103.5</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">21.5</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math id="M351" display="inline"><mml:mrow><mml:mn mathvariant="normal">4.1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.0</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M352" display="inline"><mml:mrow><mml:mn mathvariant="normal">19.2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math id="M353" display="inline"><mml:mrow><mml:mn mathvariant="normal">8.0</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math id="M354" display="inline"><mml:mrow><mml:mn mathvariant="normal">56.7</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">10</oasis:entry>  
         <oasis:entry colname="col2">08:06:10–08:23:25</oasis:entry>  
         <oasis:entry colname="col3">E</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M355" display="inline"><mml:mrow><mml:mn mathvariant="normal">155.0</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M356" display="inline"><mml:mrow><mml:mn mathvariant="normal">320.0</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">8.7</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math id="M357" display="inline"><mml:mrow><mml:mn mathvariant="normal">5.2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M358" display="inline"><mml:mrow><mml:mn mathvariant="normal">20.6</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math id="M359" display="inline"><mml:mrow><mml:mn mathvariant="normal">10.0</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.6</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math id="M360" display="inline"><mml:mrow><mml:mn mathvariant="normal">65.4</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">4.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">11</oasis:entry>  
         <oasis:entry colname="col2">11:42:50–11:51:35</oasis:entry>  
         <oasis:entry colname="col3">B</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M361" display="inline"><mml:mrow><mml:mn mathvariant="normal">156.5</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.9</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M362" display="inline"><mml:mrow><mml:mn mathvariant="normal">121.1</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">7.9</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math id="M363" display="inline"><mml:mrow><mml:mn mathvariant="normal">3.9</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M364" display="inline"><mml:mrow><mml:mn mathvariant="normal">19.5</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math id="M365" display="inline"><mml:mrow><mml:mn mathvariant="normal">9.6</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math id="M366" display="inline"><mml:mrow><mml:mn mathvariant="normal">66.7</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3.0</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">11</oasis:entry>  
         <oasis:entry colname="col2">12:34:10–12:51:25</oasis:entry>  
         <oasis:entry colname="col3">E</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M367" display="inline"><mml:mrow><mml:mn mathvariant="normal">156.9</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3.5</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M368" display="inline"><mml:mrow><mml:mn mathvariant="normal">269.5</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">41.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math id="M369" display="inline"><mml:mrow><mml:mn mathvariant="normal">4.0</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.4</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M370" display="inline"><mml:mrow><mml:mn mathvariant="normal">21.3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math id="M371" display="inline"><mml:mrow><mml:mn mathvariant="normal">9.4</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.7</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math id="M372" display="inline"><mml:mrow><mml:mn mathvariant="normal">58.3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">5.5</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry namest="col1" nameend="col9"><bold>(b)</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Flight</oasis:entry>  
         <oasis:entry colname="col2">Time</oasis:entry>  
         <oasis:entry colname="col3">Segment</oasis:entry>  
         <oasis:entry colname="col4">GPS altitude</oasis:entry>  
         <oasis:entry colname="col5">RH<inline-formula><mml:math id="M373" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">SST</mml:mi></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6">SST</oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M374" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math id="M375" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D</oasis:entry>  
         <oasis:entry colname="col9">d-excess</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">(UTC)</oasis:entry>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4">(m a.s.l.)</oasis:entry>  
         <oasis:entry colname="col5">(%)</oasis:entry>  
         <oasis:entry colname="col6">(<inline-formula><mml:math id="M376" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C)</oasis:entry>  
         <oasis:entry colname="col7">(‰)</oasis:entry>  
         <oasis:entry colname="col8">(‰)</oasis:entry>  
         <oasis:entry colname="col9">(‰)</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">9</oasis:entry>  
         <oasis:entry colname="col2">08:08:50–08:19:20</oasis:entry>  
         <oasis:entry colname="col3">B</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M377" display="inline"><mml:mrow><mml:mn mathvariant="normal">154.3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">4.1</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M378" display="inline"><mml:mrow><mml:mn mathvariant="normal">56.8</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math id="M379" display="inline"><mml:mrow><mml:mn mathvariant="normal">26.4</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.6</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M380" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>12.2 <inline-formula><mml:math id="M381" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.5</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math id="M382" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>82.4 <inline-formula><mml:math id="M383" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.8</oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math id="M384" display="inline"><mml:mrow><mml:mn mathvariant="normal">15.0</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">4.5</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">9</oasis:entry>  
         <oasis:entry colname="col2">09:00:40–09:17:35</oasis:entry>  
         <oasis:entry colname="col3">E</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M385" display="inline"><mml:mrow><mml:mn mathvariant="normal">156.3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3.6</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M386" display="inline"><mml:mrow><mml:mn mathvariant="normal">48.4</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2.7</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math id="M387" display="inline"><mml:mrow><mml:mn mathvariant="normal">25.2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.9</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M388" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>14.7 <inline-formula><mml:math id="M389" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.9</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math id="M390" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>90.5 <inline-formula><mml:math id="M391" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4.1</oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math id="M392" display="inline"><mml:mrow><mml:mn mathvariant="normal">27.3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">6.1</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">10</oasis:entry>  
         <oasis:entry colname="col2">07:15:35–07:24:35</oasis:entry>  
         <oasis:entry colname="col3">B</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M393" display="inline"><mml:mrow><mml:mn mathvariant="normal">155.0</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2.6</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M394" display="inline"><mml:mrow><mml:mn mathvariant="normal">56.6</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3.7</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math id="M395" display="inline"><mml:mrow><mml:mn mathvariant="normal">19.7</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M396" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>16.5 <inline-formula><mml:math id="M397" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.3</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math id="M398" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>95.1 <inline-formula><mml:math id="M399" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 8.1</oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math id="M400" display="inline"><mml:mrow><mml:mn mathvariant="normal">36.5</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">7.7</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">10</oasis:entry>  
         <oasis:entry colname="col2">08:06:10–08:23:25</oasis:entry>  
         <oasis:entry colname="col3">E</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M401" display="inline"><mml:mrow><mml:mn mathvariant="normal">155.0</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3.2</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M402" display="inline"><mml:mrow><mml:mn mathvariant="normal">72.2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">5.6</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math id="M403" display="inline"><mml:mrow><mml:mn mathvariant="normal">19.5</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.0</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M404" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>13.6 <inline-formula><mml:math id="M405" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.5</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math id="M406" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>90.1 <inline-formula><mml:math id="M407" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.6</oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math id="M408" display="inline"><mml:mrow><mml:mn mathvariant="normal">19.0</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3.6</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">11</oasis:entry>  
         <oasis:entry colname="col2">11:42:50–11:51:35</oasis:entry>  
         <oasis:entry colname="col3">B</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M409" display="inline"><mml:mrow><mml:mn mathvariant="normal">156.5</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.9</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M410" display="inline"><mml:mrow><mml:mn mathvariant="normal">65.6</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3.3</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math id="M411" display="inline"><mml:mrow><mml:mn mathvariant="normal">20.3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M412" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>13.1 <inline-formula><mml:math id="M413" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.5</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math id="M414" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>84.8 <inline-formula><mml:math id="M415" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.5</oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math id="M416" display="inline"><mml:mrow><mml:mn mathvariant="normal">19.7</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3.6</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">11</oasis:entry>  
         <oasis:entry colname="col2">12:34:10–12:51:25</oasis:entry>  
         <oasis:entry colname="col3">E</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M417" display="inline"><mml:mrow><mml:mn mathvariant="normal">156.9</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3.5</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M418" display="inline"><mml:mrow><mml:mn mathvariant="normal">63.6</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">7.6</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math id="M419" display="inline"><mml:mrow><mml:mn mathvariant="normal">20.5</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.7</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M420" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>13.0 <inline-formula><mml:math id="M421" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.5</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math id="M422" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>89.1 <inline-formula><mml:math id="M423" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.6</oasis:entry>  
         <oasis:entry colname="col9"><inline-formula><mml:math id="M424" display="inline"><mml:mrow><mml:mn mathvariant="normal">14.6</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3.8</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p>The same flight pattern was repeated 23 <inline-formula><mml:math id="M425" display="inline"><mml:mi mathvariant="normal">h</mml:mi></mml:math></inline-formula> later during flight 10 on
21 September 2012 (Fig. <xref ref-type="fig" rid="Ch1.F8"/>b). The large-scale circulation
remained very similar to the previous flight (Fig. <xref ref-type="fig" rid="Ch1.F7"/>).
Around Corsica, a weak southeasterly flow advected drier air towards the
island at lower-troposphere levels and reduced cloudiness
(Fig. <xref ref-type="fig" rid="Ch1.F8"/>b). Upper-level winds had strengthened and turned to
westerly directions. The vertical profile of temperature had changed
considerably, now showing an inversion between 1700 and 2200 m a.s.l.
(Fig. <xref ref-type="fig" rid="Ch1.F9"/>e). The upper layer had warmed by about 3 <inline-formula><mml:math id="M426" display="inline"><mml:mi mathvariant="normal">K</mml:mi></mml:math></inline-formula>
and dried uniformly to a specific humidity of 1–2 <inline-formula><mml:math id="M427" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>
(Fig. <xref ref-type="fig" rid="Ch1.F9"/>f). The vertical contrasts in the isotopic
composition had increased markedly. Below the inversion <inline-formula><mml:math id="M428" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D was
slightly more depleted compared to 23 h before (<inline-formula><mml:math id="M429" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>110 to <inline-formula><mml:math id="M430" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>120 ‰; Fig. <xref ref-type="fig" rid="Ch1.F9"/>g). This is rather different from equilibrium with the
given SST (<inline-formula><mml:math id="M431" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D <inline-formula><mml:math id="M432" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M433" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>80 ‰ for an SST of
<inline-formula><mml:math id="M434" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 20 <inline-formula><mml:math id="M435" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C), even though the sea surface had cooled by
<inline-formula><mml:math id="M436" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 6 <inline-formula><mml:math id="M437" display="inline"><mml:mi mathvariant="normal">K</mml:mi></mml:math></inline-formula> (Table <xref ref-type="table" rid="Ch1.T4"/>). Across the inversion, the
<inline-formula><mml:math id="M438" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D decreased to <inline-formula><mml:math id="M439" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>380 ‰ within only 300 <inline-formula><mml:math id="M440" display="inline"><mml:mi mathvariant="normal">m</mml:mi></mml:math></inline-formula> vertically
during the downward profile (Fig. <xref ref-type="fig" rid="Ch1.F9"/>g, solid line). At the
highest elevations (3700–3300 m a.s.l.) the <inline-formula><mml:math id="M441" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D profile showed very
good reproducibility of the upward and downward profiles with about
<inline-formula><mml:math id="M442" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>250 ‰ depletion. The d-excess profile had a similar shape as
during the previous flight, albeit at lower elevation, and agreed very well
for both profiles (Fig. <xref ref-type="fig" rid="Ch1.F9"/>h). A minimum d-excess of about
10 ‰ was measured just below the temperature inversion at
<inline-formula><mml:math id="M443" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1700 <inline-formula><mml:math id="M444" display="inline"><mml:mi mathvariant="normal">m</mml:mi></mml:math></inline-formula>.</p>
      <p>The flight pattern was repeated a third time another 3.5 <inline-formula><mml:math id="M445" display="inline"><mml:mi mathvariant="normal">h</mml:mi></mml:math></inline-formula> later
during flight 11 (11:00–15:00 UTC, 21 September 2012) with largely unchanged
large-scale circulation and winds around Corsica (not shown). The temperature
inversion had descended to 1400 m a.s.l. (Fig. <xref ref-type="fig" rid="Ch1.F9"/>i).
Contrasts in specific humidity were very pronounced
(Fig. <xref ref-type="fig" rid="Ch1.F9"/>k), with a moister boundary layer than during
flight 10 (<inline-formula><mml:math id="M446" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 9 <inline-formula><mml:math id="M447" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>; compare Fig. <xref ref-type="fig" rid="Ch1.F9"/>f), a
very dry intermediate layer (1 <inline-formula><mml:math id="M448" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>), and a moderately moist
upper layer (3–4 <inline-formula><mml:math id="M449" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>). The drastic humidity difference
between the two lowermost layers was also apparent in the <inline-formula><mml:math id="M450" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D profile,
with a jump from <inline-formula><mml:math id="M451" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>100 to <inline-formula><mml:math id="M452" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>200 ‰ within about 200 m vertical
distance (Fig. <xref ref-type="fig" rid="Ch1.F9"/>k). Reproducibility was very good for this
<inline-formula><mml:math id="M453" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D profile, except for the dry intermediate layer, which indicates
possible memory effects in the inlet system when entering from humid into dry
air layers. The d-excess showed quite a different profile for this flight
with values of up to 30 ‰ in the dry layer
(Fig. <xref ref-type="fig" rid="Ch1.F9"/>l). Possibly, low d-excess water vapour from the
surrounding may have reduced the d-excess by entrainment. The absence of a
clear maximum near the bottom indicates that high RH conditions
(70–80 %) and weak evaporation prevailed in this situation (d-excess of
<inline-formula><mml:math id="M454" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 14 ‰).</p>
      <p>Another 36 h later, during the final flight in this sequence (flight 12 at
09:00 UTC, 23 September 2012), the potential vorticity streamer in the large-scale circulation
had evolved into a cut-off with rapid cyclogenesis near the Bay of Biscay,
leading to the advection of air with high equivalent potential temperature
from the Sahara to the western Mediterranean (not shown). Southwesterly flow
dominated throughout the troposphere, associated with widespread broken cloud
cover (Fig. <xref ref-type="fig" rid="Ch1.F8"/>c). The single downward vertical profile
available on 23 September 2012 shows that the vertical structure of the
boundary layer had changed significantly in all variables (red profiles in
Fig. <xref ref-type="fig" rid="Ch1.F9"/>i–l). Temperature had increased by about
2–3 <inline-formula><mml:math id="M455" display="inline"><mml:mi mathvariant="normal">K</mml:mi></mml:math></inline-formula> and the layer above 1500 m a.s.l. had moistened significantly,
leading to the observed cloudiness. The <inline-formula><mml:math id="M456" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D profile had shifted to
uniformly less depleted conditions of around <inline-formula><mml:math id="M457" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>140 ‰ above
1400 m a.s.l, while the d-excess gradually decreased from values around
20–30 ‰ below 500 m a.s.l. towards about 0 ‰ at the top
of the profile.</p>
      <p>The temporal variability of the vertical structure of the isotopic
composition observed above has implications for the relative importance of
vertical mixing and large-scale advection for understanding the vertical
profiles. It appears that the two processes go hand in hand: the inversions
delineate layers that are internally well-mixed but evidently have weak
mixing across the inversion. Inversions thus also separate layers with a very
different origin and transport history. The combination of the two can lead
to strongly variable and well-structured vertical profiles as observed during
the HyMeX flights, which show surprisingly strong day-to-day variability also
in a situation where the large-scale conditions are seemingly rather similar.
One implication of this is that a single vertical profile in a high-pressure
situation might not be representative of this weather situation. The
presence of the complex topography around Corsica with various influences in
upstream and downstream regions further complicates the situation. The
strongest isotope gradient and temperature inversion were encountered during flight 10; the following sections discuss in more detail how
stable isotopes allow interpreting the transport history of an air mass.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10" specific-use="star"><caption><p>Segments A to H of flight 10 on 21 September 2012,
07:00–09:25 UTC. <bold>(a)</bold> Flight altitude (black line) and topography
(grey shading), <bold>(b)</bold> potential temperature (<inline-formula><mml:math id="M458" display="inline"><mml:mi mathvariant="normal">K</mml:mi></mml:math></inline-formula>; black) and air
temperature (<inline-formula><mml:math id="M459" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C; red), <bold>(c)</bold> specific humidity from CRDS
(<inline-formula><mml:math id="M460" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>; black), <bold>(d)</bold> relative humidity from HCLY
temperature and humidity (%; black), <bold>(e)</bold> wind speed
(<inline-formula><mml:math id="M461" display="inline"><mml:mrow><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>; black) and wind direction (<inline-formula><mml:math id="M462" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>; red),
<bold>(f)</bold> <inline-formula><mml:math id="M463" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D (‰; black) at 15 s averaging time,
<bold>(g)</bold> <inline-formula><mml:math id="M464" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O (‰; black) at 15 s averaging time,
<bold>(h)</bold> d-excess (‰) at 15 s averaging time (grey) and 30 s
averaging time (black). Sections highlighted in red are for specific humidity
below 2 <inline-formula><mml:math id="M465" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. Labels A–H denote different sections of the
flight pattern.</p></caption>
        <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/6125/2017/acp-17-6125-2017-f10.pdf"/>

      </fig>

</sec>
<sec id="Ch1.S6">
  <title>High-resolution stable isotope measurements during flight 10 (21 September 2012)</title>
      <p>We now present the high-resolution horizontal and vertical variability
obtained during flight 10 on 21 September 2012 (the second flight discussed
in Sect. <xref ref-type="sec" rid="Ch1.S5"/>). During this flight clouds were almost absent,
and a strong vertical wind shear prevailed, with southeasterly winds in the
boundary layer and westerly winds in the free troposphere
(Fig. <xref ref-type="fig" rid="Ch1.F8"/>b). A deep inversion of <inline-formula><mml:math id="M466" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 3 <inline-formula><mml:math id="M467" display="inline"><mml:mi mathvariant="normal">K</mml:mi></mml:math></inline-formula> between
1700 and 2200 m a.s.l. characterized the atmospheric stratification during
this flight, both at locations west (Fig. <xref ref-type="fig" rid="Ch1.F9"/>e) and east (not
shown) of Corsica, separating a moist marine boundary layer from a very dry
free troposphere (Fig. <xref ref-type="fig" rid="Ch1.F9"/>).</p>
      <p>Figure <xref ref-type="fig" rid="Ch1.F10"/> shows the flight altitude and meteorological and
isotope parameters during the first 2.5 <inline-formula><mml:math id="M468" display="inline"><mml:mi mathvariant="normal">h</mml:mi></mml:math></inline-formula> of flight 10 (flown along
pattern 3; compare Fig. <xref ref-type="fig" rid="Ch1.F1"/>). The flight period has been
subdivided into segments A–H in Fig. <xref ref-type="fig" rid="Ch1.F10"/>. During the vertical
profile in segment A, the aircraft encountered a dramatically different
meteorological and stable isotope composition between flight altitudes of
1500 and 2500 m a.s.l. At 07:00 UTC, during ascent from about 1700 to
2000 m a.s.l., specific humidity decreased abruptly from 8 to about
1 <inline-formula><mml:math id="M469" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="Ch1.F10"/>c, red and black lines).
Humidity was in fact below the detection limit for the dew point mirror
hygrometer. Associated with the drop in specific humidity were an increase in
potential temperature from 299 to 305 <inline-formula><mml:math id="M470" display="inline"><mml:mi mathvariant="normal">K</mml:mi></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="Ch1.F10"/>b,
black line), an increase in air temperature from 10 to 12 <inline-formula><mml:math id="M471" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C
(panel b, red line), and a drop in relative humidity (Fig. <xref ref-type="fig" rid="Ch1.F10"/>d) from 80 to <inline-formula><mml:math id="M472" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 15 %. Winds gradually
changed from southerly to northwesterly directions and back during
segment A (Fig. <xref ref-type="fig" rid="Ch1.F10"/>e).</p>
      <p>The stable isotope composition shows similar strong changes across the
inversion at the boundary-layer top. <inline-formula><mml:math id="M473" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D (<inline-formula><mml:math id="M474" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O) shows an
initial drop from <inline-formula><mml:math id="M475" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>100 to <inline-formula><mml:math id="M476" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>225 ‰ (<inline-formula><mml:math id="M477" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>13 to <inline-formula><mml:math id="M478" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>35 ‰) and then a further depletion before the re-entry into the boundary layer at
07:11 UTC with a minimum of <inline-formula><mml:math id="M479" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>275 ‰ (<inline-formula><mml:math id="M480" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>41 ‰ for
<inline-formula><mml:math id="M481" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O) at the end of segment A (Fig. <xref ref-type="fig" rid="Ch1.F10"/>f and g). The
d-excess mirrors the jump of the primary isotope parameters, increasing from
12 to 65 ‰ across the inversion at 07:02 UTC (the d-excess is drawn
in red for <inline-formula><mml:math id="M482" display="inline"><mml:mrow><mml:mi>q</mml:mi><mml:mo>&lt;</mml:mo></mml:mrow></mml:math></inline-formula> 2 <inline-formula><mml:math id="M483" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>). It then decreases to about
40 ‰ for 5 <inline-formula><mml:math id="M484" display="inline"><mml:mi mathvariant="normal">min</mml:mi></mml:math></inline-formula> when the aircraft is above 3000 m a.s.l.,
before increasing again to about 55 ‰ (the period when the primary
isotope parameters are lowest), before finally returning to about
15 ‰. The d-excess thus hints at a different air mass above
3000 m a.s.l. at this location, which is supported by close inspection of
the wind speed, relative humidity, and specific humidity. This could have been
overlooked easily without considering the d-excess.</p>
      <p>Throughout the flight, the aircraft returned four times into this dry air
layer above 1700 m a.s.l. (Fig. <xref ref-type="fig" rid="Ch1.F10"/>, segments C, D, F, H).
Very similar behaviour was observed for the meteorological and stable isotope
parameters at the same altitudes. The profile at segment D is shown in
Fig. <xref ref-type="fig" rid="Ch1.F9"/>e–h, and underlines the sharpness of the transition
at the inversion. From the downward profiles the vertical gradient of the
isotopic composition across the inversion is estimated as
<inline-formula><mml:math id="M485" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>25.4 <inline-formula><mml:math id="M486" display="inline"><mml:mrow><mml:mi mathvariant="normal">‰</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mn mathvariant="normal">100</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> for <inline-formula><mml:math id="M487" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D and
24.0 <inline-formula><mml:math id="M488" display="inline"><mml:mrow><mml:mi mathvariant="normal">‰</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mn mathvariant="normal">100</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> for the d-excess.</p>
      <p>After completion of the vertical profile at Segment A, the aircraft performed
a low-level leg at the minimum safe altitude (ca. 155 m above the surface) over
open water (07:12–07:25 UTC, segment B). Specific humidity and relative
humidity remained narrowly at about 8 <inline-formula><mml:math id="M489" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> and 57 %,
respectively, during this transect (Table <xref ref-type="table" rid="Ch1.T4"/>).
RH<inline-formula><mml:math id="M490" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">SST</mml:mi></mml:msub></mml:math></inline-formula> was about 57 %. The expected non-equilibrium
fractionation conditions during evaporation do not fully correspond to the
high measured d-excess of <inline-formula><mml:math id="M491" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 37 ‰ (depending on the
non-equilibrium fractionation factor, one would expect here RH<inline-formula><mml:math id="M492" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">SST</mml:mi></mml:msub></mml:math></inline-formula>
to be about 18–25 % according to the Craig–Gordon model) and point
towards evaporation sources of at least part of the sampled water vapour
elsewhere. With average wind speeds of 4 <inline-formula><mml:math id="M493" display="inline"><mml:mrow><mml:mi mathvariant="normal">m</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> from southeasterly
directions, only weak evaporation would be expected.</p>
      <p>A second low-level transect performed west of Corsica over the open ocean
(08:05–08:25 UTC, segment E) is marked by lower d-excess of 19 ‰
compared to segment B, which was performed east of Corsica
(Table <xref ref-type="table" rid="Ch1.T4"/> and Fig. <xref ref-type="fig" rid="Ch1.F10"/>). Specific and
relative humidity are slightly higher (10 <inline-formula><mml:math id="M494" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> and 65 %,
respectively), while RH<inline-formula><mml:math id="M495" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">SST</mml:mi></mml:msub></mml:math></inline-formula> was on average 72 %, matching the SST (19.5 <inline-formula><mml:math id="M496" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C), which was lower than air temperature (20.6 <inline-formula><mml:math id="M497" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C).
Again, the RH<inline-formula><mml:math id="M498" display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">SST</mml:mi></mml:msub></mml:math></inline-formula> does not explain the d-excess, and thus the main
sources of the moisture measured by the aircraft may be located elsewhere (in a northwesterly direction, as indicated by the mean wind direction of
320<inline-formula><mml:math id="M499" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>). Throughout the flight, the lowest values of the d-excess occur
consistently at high RH conditions, at elevations where the BL (boundary-layer) top is
expected, such as during segments A, C, D, and F. This points again to the
role of cloud and precipitation evaporation processes in shaping the d-excess
minimum observed in the overall profile.</p>
</sec>
<sec id="Ch1.S7">
  <title>Air mass origin and transport history</title>
      <p>Air mass origin and the transport history for a part of the air sampled during
flight 10 are now investigated with a backward trajectory analysis using the
LAGRANTO (Lagrangian Analysis Tool) model <xref ref-type="bibr" rid="bib1.bibx58" id="paren.71"/> based on ECMWF operational analysis data
at a <inline-formula><mml:math id="M500" display="inline"><mml:mrow><mml:msup><mml:mn mathvariant="normal">0.5</mml:mn><mml:mo>∘</mml:mo></mml:msup><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">0.5</mml:mn><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> horizontal grid spacing. Trajectories
were calculated 5 days backward in time every 10 s along the flight track
for the time interval 07:54–08:06 UTC, i.e. during the transition from the
free troposphere into the boundary layer (second part of segment D;
Fig. <xref ref-type="fig" rid="Ch1.F10"/>a). The trajectory analysis confirms a very different
origin of the air masses in the two vertical layers. In the lower troposphere
(700–800 <inline-formula><mml:math id="M501" display="inline"><mml:mi mathvariant="normal">hPa</mml:mi></mml:math></inline-formula>), the aircraft encountered air masses that 4–5 days
back in time had been located over southern Greenland (Fig. <xref ref-type="fig" rid="Ch1.F11"/>a,
red trajectory segments) in the upper troposphere at pressure altitudes of
<inline-formula><mml:math id="M502" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 400 <inline-formula><mml:math id="M503" display="inline"><mml:mi mathvariant="normal">hPa</mml:mi></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="Ch1.F11"/>b, black lines). These air masses
descended gradually by <inline-formula><mml:math id="M504" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 100 <inline-formula><mml:math id="M505" display="inline"><mml:mrow><mml:mi mathvariant="normal">hPa</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">day</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> before being
encountered by the aircraft. Large-scale descent of upper-tropospheric air
due to its southward displacement along sloping isentropes with adiabatic
warming is thus the most plausible cause for the low relative humidity
observed during flight 10. This is also supported by a trajectory analysis
for flight segments A, C, and F, which show consistent source regions and
descent from similar altitudes (not shown).</p>
      <p>The trajectories descending from high elevation were very dry (<inline-formula><mml:math id="M506" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.3</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M507" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) 4 days before encounter and hardly moistened
according to the ECMWF analysis data at <inline-formula><mml:math id="M508" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>12 <inline-formula><mml:math id="M509" display="inline"><mml:mi mathvariant="normal">h</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M510" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.5</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M511" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>). These values agree well with the humidity observed
by the aircraft (0.4–0.7 <inline-formula><mml:math id="M512" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> during the downward profile in
segment D; Fig. <xref ref-type="fig" rid="Ch1.F10"/>c). The potential temperature of the air
masses from the upper troposphere decreased due to radiative cooling by about
5 <inline-formula><mml:math id="M513" display="inline"><mml:mi mathvariant="normal">K</mml:mi></mml:math></inline-formula> during the 5 days of descent and was 303–309 <inline-formula><mml:math id="M514" display="inline"><mml:mi mathvariant="normal">K</mml:mi></mml:math></inline-formula> during
encounter (Fig. <xref ref-type="fig" rid="Ch1.F11"/>c), in very good agreement with the
observations (Fig. <xref ref-type="fig" rid="Ch1.F10"/>b). In contrast, the air mass encountered
during the lower parts of segment D was much more humid
(6 <inline-formula><mml:math id="M515" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>; Fig. <xref ref-type="fig" rid="Ch1.F11"/>a), lower than the range of the
observations (7–10 <inline-formula><mml:math id="M516" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>). Trajectory analysis shows an origin
of these moist air masses over Italy, France, Corsica, and nearby areas of the
western Mediterranean. The air masses gradually warmed (Fig. <xref ref-type="fig" rid="Ch1.F11"/>c,
grey trajectories) and moistened (not shown) while being advected in the
lower troposphere from the northwest during the 5 days before encounter
(Fig. <xref ref-type="fig" rid="Ch1.F11"/>a, blue trajectory segments). This underlines that the
isotope composition is related to the transport history of air masses in this
situation.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F11" specific-use="star"><caption><p>Backward trajectories for the downward leg of the second profile in
segment D during flight 10 (21 September 2012, 07:54–08:06 UTC).
<bold>(a)</bold> Five-day trajectories coloured with specific humidity
(<inline-formula><mml:math id="M517" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>), with small inset showing a zoom around Corsica. Black
dots indicate trajectory locations 48<inline-formula><mml:math id="M518" display="inline"><mml:mi mathvariant="normal">h</mml:mi></mml:math></inline-formula> before measurement time.
<bold>(b)</bold> Pressure in hectopascal and <bold>(c)</bold> potential temperature
in kelvin along 5-day trajectories vs. time before measurement. Trajectories
arriving with a humidity of less than 2 <inline-formula><mml:math id="M519" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> are shown in
black, all others in grey. Time of aircraft encounter in panel <bold>(b)</bold>
and <bold>(c)</bold> is marked by red dots.</p></caption>
        <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/6125/2017/acp-17-6125-2017-f11.pdf"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F12" specific-use="star"><caption><p>Vertical sections across Corsica during flight 10 (06:00 UTC,
21 September 2012): <bold>(a)</bold> from 0 to 15<inline-formula><mml:math id="M520" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E at 42<inline-formula><mml:math id="M521" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N
and <bold>(b)</bold> from 35 to 45<inline-formula><mml:math id="M522" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N at 9<inline-formula><mml:math id="M523" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E. Panels show
specific humidity (<inline-formula><mml:math id="M524" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, shading), and potential temperature
(<inline-formula><mml:math id="M525" display="inline"><mml:mi mathvariant="normal">K</mml:mi></mml:math></inline-formula>, black contours) from ECMWF operational analyses. The flight track
for flight 10 is overlaid as a black line, with segments of specific humidity
below 2 <inline-formula><mml:math id="M526" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> plotted in red. A and D correspond to the segments
in Fig. <xref ref-type="fig" rid="Ch1.F10"/>.</p></caption>
        <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/6125/2017/acp-17-6125-2017-f12.pdf"/>

      </fig>

      <p>Vertical cross sections using ECMWF analyses centred at Corsica approximately
at the time of flight 10 (06:00 UTC, 21 September 2012) provide insight into
the spatial extent of different air masses and the sharpness of the
transition between the free troposphere and the boundary layer in the ECMWF
model (Fig. <xref ref-type="fig" rid="Ch1.F12"/>). Dry air reached from the upper troposphere down
to 750–850 <inline-formula><mml:math id="M527" display="inline"><mml:mi mathvariant="normal">hPa</mml:mi></mml:math></inline-formula> directly over Corsica (upper white areas in
Fig. <xref ref-type="fig" rid="Ch1.F12"/>a and b), corresponding to the downward sloping
isentropic flow from the northwest along the 300 and 305 K isentropes.
Further south, a fairly moist (<inline-formula><mml:math id="M528" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 5–7 <inline-formula><mml:math id="M529" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) air mass with
potential temperatures between 305 and 315 <inline-formula><mml:math id="M530" display="inline"><mml:mi mathvariant="normal">K</mml:mi></mml:math></inline-formula> was located above the
dry air, and east of 6<inline-formula><mml:math id="M531" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E at higher elevations (above
850 <inline-formula><mml:math id="M532" display="inline"><mml:mi mathvariant="normal">hPa</mml:mi></mml:math></inline-formula>; Fig. <xref ref-type="fig" rid="Ch1.F12"/>a). This subtropical air mass associated
with ex-Hurricane Nadine and the cut-off low displaced the dry
upper-tropospheric air during the next 2 days, apparent also as increased
cloudiness (Fig. <xref ref-type="fig" rid="Ch1.F8"/>c).</p>
      <p>Red segments of the flight path during flight 10 mark where the aircraft
encountered the very dry upper-tropospheric air, in very good correspondence
with the operational analysis. The highest branches of the flight track
correspond to the measurements during segments A and D. The less dry
conditions, but in particular also the lower depletion of the <inline-formula><mml:math id="M533" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D and
<inline-formula><mml:math id="M534" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O, indicate that the front of the advancing tropical air mass had
been encountered during segment D (Fig. <xref ref-type="fig" rid="Ch1.F12"/>a), explaining the
marked isotopic inversion between 2300 and 3500 m a.s.l.
(Fig. <xref ref-type="fig" rid="Ch1.F9"/>g) as the result of the complex layering of air masses
with very different water vapour transport histories.</p><?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S8" sec-type="conclusions">
  <title>Summary and conclusions</title>
      <p>In summary, we present here results from an extensive airborne survey of the
isotopic composition of water vapour above the western Mediterranean during
HyMeX SOP1. The data set represents one of the first extensive,
well-documented airborne measurement campaigns of the isotopic composition
lower troposphere since the 1970s with a high spatial and temporal resolution.
During the 21 successful flights with 59 flight hours in total, several
distinct weather situations were probed, yielding high day-to-day
variability and often strong vertical and horizontal gradients in the stable
isotope signals and confirming similar findings from another recent airborne
study <xref ref-type="bibr" rid="bib1.bibx18" id="paren.72"/>. In general, the spatial variability was much larger
than anticipated from earlier low-resolution data, which causes challenges
for remote-sensing observations of stable isotopes that have a low vertical
resolution and for the comparison with model simulations that average over
larger spatial regions than the aircraft measurements are representative of.</p>
      <p>A sequence of flights performed in a situation of subsidence of upper- and
middle-troposphere air over Corsica showed strong vertical gradients in the
isotopic composition of water vapour, reaching up to
<inline-formula><mml:math id="M535" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>25.4 <inline-formula><mml:math id="M536" display="inline"><mml:mrow><mml:mi mathvariant="normal">‰</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mn mathvariant="normal">100</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> for <inline-formula><mml:math id="M537" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D across an inversion
layer about 700 m thick. Mixing between the descending air mass and
boundary-layer air influenced by evaporation appears as the dominant process
responsible for the observed variability. Immediate, local stable isotope
fractionation that could be described by a Rayleigh fractionation model, for
example in dense, precipitating clouds, was not observed during the flights
and must thus have taken place elsewhere in regions with saturated conditions
beforehand. Obtaining this kind of information would not be possible from
water vapour concentration measurements alone, which emphasizes the
additional use of stable isotopes in studies of the atmospheric water cycle.</p>
      <p>Our high-resolution measurements of d-excess clearly show that this
second-order parameter adds information on the origin and processing of
atmospheric water vapour. A careful design of the measurement installation
and calibration routines is required to obtain interpretable data at a
temporal resolution of 30–60 <inline-formula><mml:math id="M538" display="inline"><mml:mi mathvariant="normal">s</mml:mi></mml:math></inline-formula> and a spatial resolution of
2–4 <inline-formula><mml:math id="M539" display="inline"><mml:mi mathvariant="normal">km</mml:mi></mml:math></inline-formula> horizontally and 150–300 <inline-formula><mml:math id="M540" display="inline"><mml:mi mathvariant="normal">m</mml:mi></mml:math></inline-formula> vertically. High d-excess
near the sea surface and above the boundary-layer inversion are contrasted
with relatively low d-excess near the top of the boundary layer. These
characteristics are consistent with the prevalence of non-equilibrium
evaporation conditions near the sea surface and during evaporation of rain in
unsaturated regions and cloud dissolution near the boundary-layer top. At
high elevations, non-linearities in the delta scale may have contributed to
high values of d-excess in highly depleted isotope conditions. Because of
limitations of the instrumentation in low-humidity conditions, the remaining
uncertainties call for further studies to confirm these findings.
Nonetheless, the data reported here do demonstrate that the d-excess is a
valuable, high-resolution process and source tracer for the meteorological
situations encountered during the aircraft campaign.</p>
      <p><?xmltex \hack{\newpage}?>The comprehensive data set of the stable isotope composition of atmospheric
water vapour acquired together with many other observations during the HyMeX
SOP1 <xref ref-type="bibr" rid="bib1.bibx16" id="paren.73"/> can be further exploited for process studies using
both the primary isotopes and the d-excess as well as for model evaluation.
In the future, more extensive data sets for other regions on the atmospheric
isotopic composition will be highly valuable in constraining the atmospheric
water cycle in numerical weather and climate prediction models. Future
campaigns would benefit in particular from complementary sampling, either
ship-based or land-based, of the near-surface water vapour in the evaporation
region, providing further insight into the mixing between boundary layer and
free troposphere.</p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability">

      <p>The data set of the water vapour stable isotope composition
from this study is available from the HyMeX data base at
<uri>http://mistrals.sedoo.fr/HyMeX/</uri>. The archived data set “Water vapour
isotopes” (<ext-link xlink:href="http://dx.doi.org/10.6096/MISTRALS-HyMeX.1475" ext-link-type="DOI">10.6096/MISTRALS-HyMeX.1475</ext-link>) includes the calibrated
isotope measurements and several basic flight parameters, all averaged at a
30 s time interval. Higher-resolution data can be obtained from the
corresponding author on request.</p>
  </notes><?xmltex \hack{\clearpage}?><app-group>

<app id="App1.Ch1.S1">
  <title>Data and measurement details</title>
<sec id="App1.Ch1.S1.SS1">
  <title>Measurement setup</title>
      <p>The high-frequency meteorological measurements (temperature, winds, pressure,
humidity) onboard the D-IBUF were located inside the nose boom. The inlet for
measuring stable isotopes in ambient water vapour was located at the top of
the aircraft at 8.6 m distance (Fig. <xref ref-type="fig" rid="App1.Ch1.F1"/>). A backward-facing
short stainless steel pipe (<inline-formula><mml:math id="M541" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula>” O.D.) inside an aerodynamic housing was
connected to PTFE tubing (<inline-formula><mml:math id="M542" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula>” O.D.) inside the aircraft
(Fig. <xref ref-type="fig" rid="App1.Ch1.F2"/>). Air was drawn through a 0.2 <inline-formula><mml:math id="M543" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> PTFE
membrane filter with 50 mm diameter (SLFG05010, Merck Millipore) and an
inlet at 30 <inline-formula><mml:math id="M544" display="inline"><mml:mrow><mml:mi mathvariant="normal">L</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">min</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> under standard conditions using a bypass pump
(ASF Thomas TF2). At a T-fitting connected to this inlet, the Picarro L2130-i
extracted sample air from this air stream at 0.1 <inline-formula><mml:math id="M545" display="inline"><mml:mrow><mml:mi mathvariant="normal">L</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">min</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> using another pump (S2003, Picarro Inc.).
Temperature in the non-pressurized cabin was not stabilized and the tubing
inside the aircraft was not heated. Condensation was, however, unlikely as
the cabin of the aircraft was generally warmer than air temperature outside
the aircraft.</p>
</sec>
<sec id="App1.Ch1.S1.SS2">
  <title>CRDS humidity calibration</title>
      <p>The correspondence between the CRDS humidity and the reference humidity
allowed compensating for time shifts between the two measurements due to the
inlet, piping, position in the aircraft, and computer clock differences. For
each flight, the time shift (typically 4–7 <inline-formula><mml:math id="M546" display="inline"><mml:mi mathvariant="normal">s</mml:mi></mml:math></inline-formula>) was determined from
the highest correlation between the two humidity measurements, shifted in
1 s intervals within moving 60 s windows. The correlation coefficient
between both humidity measurements after time shift correction was <inline-formula><mml:math id="M547" display="inline"><mml:mrow><mml:mi mathvariant="italic">ρ</mml:mi><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">0.97</mml:mn></mml:mrow></mml:math></inline-formula> at a 1 Hz averaging for all 21 flights. Humidity measurements from
the CRDS were then calibrated with the HCLY humidity data using a linear fit
determined from each individual flight at a 1 Hz time resolution. The offset
of this linear fit was mostly stable between flights. The original bypass
pump failed from flight 17 onward and was replaced with an identical pump
before flight 28. The offset of this linear fit was mostly stable between
flights, whereas the slope changed slightly from 1.0 to about 1.1 after the
installation of the replacement pump (not shown). This could affect the
pressure in the inlet system, resulting in a different regulatory behaviour
and pressure hysteresis of the measurement setup but not a change in flow
rate. This may suggest that calibration procedures should ideally cover the
entire inlet system, including the bypass pump.</p>

      <?xmltex \floatpos{t}?><fig id="App1.Ch1.F1"><caption><p>Location of the nose boom instrumentation (N) and the inlet for the
ambient air measurements (A) onboard the Dornier-128 D-IBUF aircraft
for the HyMeX measurement campaign. All dimensions in millimetres. Modified from
<xref ref-type="bibr" rid="bib1.bibx59" id="text.74"/>.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/6125/2017/acp-17-6125-2017-f13.pdf"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="App1.Ch1.F2"><caption><p>Setup of the Picarro L2130-i instrument onboard the Dornier-128
D-IBUF. The pipe connected to the inlet in the top right is not part of the
inlet system. From <xref ref-type="bibr" rid="bib1.bibx2" id="text.75"/>.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/6125/2017/acp-17-6125-2017-f14.jpg"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="App1.Ch1.F3" specific-use="star"><caption><p>Correction functions of the isotopic composition as a function of
the water concentration (volume mixing ratio in <inline-formula><mml:math id="M548" display="inline"><mml:mi mathvariant="normal">ppmv</mml:mi></mml:math></inline-formula> at bottom;
specific humidity in <inline-formula><mml:math id="M549" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> at top) determined during laboratory
experiments after the field campaign for <bold>(a)</bold> <inline-formula><mml:math id="M550" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O and
<bold>(b)</bold> <inline-formula><mml:math id="M551" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D. <bold>(c)</bold> Effect on the d-excess when applying the
correction to the primary stable isotope parameters. Blue and red preliminary
data points were obtained in 2012 during and after the HyMeX field campaign;
black data points are from an optimized laboratory setup in 2015. Vertical
black bars show the standard deviation of each calibration point with
measurements lasting for approximately 6–10 <inline-formula><mml:math id="M552" display="inline"><mml:mi mathvariant="normal">min</mml:mi></mml:math></inline-formula>. Correction function
has been determined from a fit to the black data points
only.</p></caption>
          <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/6125/2017/acp-17-6125-2017-f15.pdf"/>

        </fig>

</sec>
<sec id="App1.Ch1.S1.SS3">
  <title>Humidity dependency correction of the stable isotope parameters</title>
      <p>The humidity–isotope response correction that is required for all commercial
water isotope spectrometers is known as a key element for reliable d-excess
measurements <xref ref-type="bibr" rid="bib1.bibx54 bib1.bibx3" id="paren.76"/>. Airborne humidity
measurements can have a large range, and instruments need to be calibrated
for the humidity dependency across the entire range of measurement data
points. Correction functions for the dependency of the isotope parameters
were determined at different times during and after the field campaign. These
functions are different for each particular analyser. For the instrument used
during the HyMeX SOP1, the <inline-formula><mml:math id="M553" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O and <inline-formula><mml:math id="M554" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D increased strongly
for lower mixing ratios, resulting in a strong negative deviation of the
d-excess. This calibration function was determined in the field on
26 September 2012 and immediately after the field campaign in a laboratory
setup on 25 October 2012 and in a final optimized setup in the laboratory in
August 2015. The correction functions and their impact on the d-excess are
presented in Fig. <xref ref-type="fig" rid="App1.Ch1.F3"/>. The humidity–isotope response
correction varied only marginally within the range of measurement
uncertainties, as shown by the data points from the two earlier calibration
periods (red and blue circles). This suggests that mechanical stress during
the flight did not have a strong influence on the humidity–isotope response
correction function. All <inline-formula><mml:math id="M555" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O and <inline-formula><mml:math id="M556" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D data were corrected
with Eqs. (<xref ref-type="disp-formula" rid="Ch1.E1"/>) and (<xref ref-type="disp-formula" rid="Ch1.E2"/>) at the highest time
resolution before averaging according to the uncalibrated volume mixing ratio
reported by the CRDS instrument.</p>

      <?xmltex \floatpos{t}?><fig id="App1.Ch1.F4"><caption><p>Standard deviation of calibration standard measurements in the field
during the HyMeX campaign and in the laboratory after the campaign at
different water vapour mixing ratios (experiments from 26 September and
25 October 2012).</p></caption>
          <?xmltex \igopts{width=199.169291pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/6125/2017/acp-17-6125-2017-f16.pdf"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="App1.Ch1.F5" specific-use="star"><caption><p><bold>(a)</bold> Distributions of cavity pressure for flights 01–14 and
28–32 in purple for vertical velocities <inline-formula><mml:math id="M557" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M558" display="inline"><mml:mrow><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (downward),
in green for vertical velocities <inline-formula><mml:math id="M559" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M560" display="inline"><mml:mrow><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (upward), and in
black for horizontal legs with vertical velocities <inline-formula><mml:math id="M561" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>≤</mml:mo><mml:mi>v</mml:mi><mml:mo>≤</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M562" display="inline"><mml:mrow><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. The distribution of the cavity pressure during a
stability experiment (Allan test) in the hangar during the campaign (6 Oct
2012, 10:00–14:00 UTC) is shown in grey as a reference for stable
measurement conditions. <bold>(b)</bold> Vertical profile of specific humidity
during flight 10. Upward (dashed lines) and downward (solid lines) from three
humidity products CRDS (black), HCLY (blue), and TPLY (red) are
shown.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/6125/2017/acp-17-6125-2017-f17.pdf"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="App1.Ch1.F6" specific-use="star"><caption><p>Instrument control parameters during segments A–H of flight 10 on
21 September 2012, 07:00–09:25 UTC. <bold>(a)</bold> Flight altitude
(<inline-formula><mml:math id="M563" display="inline"><mml:mi mathvariant="normal">m</mml:mi></mml:math></inline-formula> a.s.l.; black), cabin pressure (<inline-formula><mml:math id="M564" display="inline"><mml:mi mathvariant="normal">hPa</mml:mi></mml:math></inline-formula>; red) and topography
(<inline-formula><mml:math id="M565" display="inline"><mml:mi mathvariant="normal">m</mml:mi></mml:math></inline-formula>; grey shading); <bold>(b)</bold> vertical wind (<inline-formula><mml:math id="M566" display="inline"><mml:mrow><mml:mi mathvariant="normal">m</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>);
<bold>(c)</bold> CRDS cavity pressure (<inline-formula><mml:math id="M567" display="inline"><mml:mi mathvariant="normal">Torr</mml:mi></mml:math></inline-formula>; black) and vertical aircraft
velocity (<inline-formula><mml:math id="M568" display="inline"><mml:mrow><mml:mi mathvariant="normal">m</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>; red); <bold>(d)</bold> CRDS cavity temperature
(<inline-formula><mml:math id="M569" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C; black) and CRDS warm-box temperature (<inline-formula><mml:math id="M570" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C; red);
<bold>(e)</bold> <inline-formula><mml:math id="M571" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D (black line; ‰) at 15 s averaging time;
<bold>(f)</bold> d-excess (‰) at 15 s averaging time (grey line) and
30 s averaging time (black line). Sections highlighted in red are for
specific humidity below 2 <inline-formula><mml:math id="M572" display="inline"><mml:mrow><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">kg</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/6125/2017/acp-17-6125-2017-f18.pdf"/>

        </fig>

</sec>
<sec id="App1.Ch1.S1.SS4">
  <title>Dependence of data quality on different factors</title>
      <p>As the number of absorbing water molecules decreases in the CRDS cavity with
decreasing humidity, the precision of measurements decreases. The uncertainty
of the measured sample depends on the ambient water vapour mixing ratio and
can be estimated using calibration runs at different water vapour mixing
ratios (Fig. <xref ref-type="fig" rid="App1.Ch1.F4"/>). Depending on the flight and the water
vapour mixing ratios the total uncertainty in <inline-formula><mml:math id="M573" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D is
<inline-formula><mml:math id="M574" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1.8 ‰, <inline-formula><mml:math id="M575" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1.0 ‰ for <inline-formula><mml:math id="M576" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O, and <inline-formula><mml:math id="M577" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 10 ‰ for d. The precision of <inline-formula><mml:math id="M578" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O is approximately 5–6
times better than the precision of <inline-formula><mml:math id="M579" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D. Temporal averaging then allows
the retrieval of information at a better precision (Table <xref ref-type="table" rid="Ch1.T3"/>).</p>
      <p>Further influences on the data quality come from (i) uncertainty of the
isotope–humidity response calibration, (ii) larger drift of the measurement
system due to mechanical stress during the flight, and (iii) memory effects of the
inlet system. While the first aspect is covered in
Sect. <xref ref-type="sec" rid="App1.Ch1.S1.SS3"/>, the other two are briefly discussed here. The
effect of enhanced mechanical stress during the flight can be approximately
quantified from 4 days when calibrations at the same water concentrations
and with the same standards were available before and after the flight. Six
bracketing calibrations were available at a volume mixing ratio of about
20 000 <inline-formula><mml:math id="M580" display="inline"><mml:mi mathvariant="normal">ppmv</mml:mi></mml:math></inline-formula> and two at about 4000 <inline-formula><mml:math id="M581" display="inline"><mml:mi mathvariant="normal">ppmv</mml:mi></mml:math></inline-formula>. Assuming linear
drift between the calibrations, the overall drift was about
0.2 <inline-formula><mml:math id="M582" display="inline"><mml:mrow><mml:mi mathvariant="normal">‰</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">h</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> for <inline-formula><mml:math id="M583" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O and
0.5 <inline-formula><mml:math id="M584" display="inline"><mml:mrow><mml:mi mathvariant="normal">‰</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">h</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> for <inline-formula><mml:math id="M585" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D. These numbers were independent
of the stable isotope concentration. Drift was about 3 times stronger at
4000 <inline-formula><mml:math id="M586" display="inline"><mml:mi mathvariant="normal">ppmv</mml:mi></mml:math></inline-formula> based one set of bracketing calibrations only. Memory
effects from the inlet system can become substantial during specific flight
patterns, such as during vertical profiles across large humidity gradients
(e.g. over 100 <inline-formula><mml:math id="M587" display="inline"><mml:mi mathvariant="normal">s</mml:mi></mml:math></inline-formula> when the humidity signal was spread out over
<inline-formula><mml:math id="M588" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 500 <inline-formula><mml:math id="M589" display="inline"><mml:mi mathvariant="normal">m</mml:mi></mml:math></inline-formula> during an upward profile; see Fig. <xref ref-type="fig" rid="Ch1.F9"/>).
Wall effects of the PTFE tubing in the piping connecting the isotope analyser
to the bypass inlet line at low humidity can disturb the isotope measurements
for several minutes, instead of a response on the order of a few seconds
when flying horizontal transects or profiles from low to high humidity
layers. This is an aspect that is difficult to quantify in terms of data
quality and affects only specific parts of the data set. Upward profiles in
the data set should therefore be interpreted with particular care.</p>
</sec>
<sec id="App1.Ch1.S1.SS5">
  <title>Pressure effects and hysteresis</title>
      <p>Aircraft data reported here were collected up to a pressure altitude of
580 <inline-formula><mml:math id="M590" display="inline"><mml:mi mathvariant="normal">hPa</mml:mi></mml:math></inline-formula>. Cavity pressure and temperatures inside the instrument are
continuously stabilized, and records of these parameters indicate that no
adjustment problems were encountered during most flight conditions. The
instrument did, however, respond with a time lag to pressure changes inflicted
by spiral descent, steep ascent, and turbulent vertical motions. The cavity
pressure then deviates up to 0.02 <inline-formula><mml:math id="M591" display="inline"><mml:mi mathvariant="normal">Torr</mml:mi></mml:math></inline-formula> from its set value of
50 <inline-formula><mml:math id="M592" display="inline"><mml:mi mathvariant="normal">Torr</mml:mi></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="App1.Ch1.F5"/>a). This offset is a result of the
time delay of the regulating system when stabilizing the measurement
conditions in the cavity during a pressure change. It could explain a part of
the hysteresis seen in Fig. <xref ref-type="fig" rid="Ch1.F9"/> in terms of both water vapour
and isotopic composition. Interestingly, the d-excess profiles do not show a
strong hysteresis effect, which could point towards compensation for the
pressure changes when the d-excess is calculated. After an ascent or descent,
the cavity almost immediately returns to the predefined measurement
conditions. <xref ref-type="bibr" rid="bib1.bibx29" id="text.77"/> also observed a hysteresis of <inline-formula><mml:math id="M593" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D in
their measurements and therefore only used downward profiles for satellite
validation.</p>
      <p>A shift in the linear fit between the water vapour mixing ratio from L2130-i
and the D-IBUF fast response measurements (TPLY) can be observed for an
upward flight when compared to a downward flight (Fig. <xref ref-type="fig" rid="App1.Ch1.F5"/>b).
Besides memory effects in the inlet system when moving from humid to dry air,
possible causes of this hysteresis are slight shifts in the wavelength
monitor or a widening of the absorption lines due to observed changes in the
cavity pressure (Fig. <xref ref-type="fig" rid="App1.Ch1.F5"/>a), which could also affect the
isotope measurements. The shifts are small and the effect might be of a
1–2 ‰ magnitude. Nevertheless, this aspect should be kept in mind,
when examining these profiles. It is not a priori clear how this affects the
d-excess, but the good correspondence of upward and downward profiles of the
d-excess indicate a small effect.</p>
      <p>To exemplify the CRDS instrument performance during the flight, the cavity
temperature, cavity pressure, and warm-box temperature are shown during the
same transect as shown in Fig. <xref ref-type="fig" rid="Ch1.F10"/>, along with meteorological,
stable isotope and flight track parameters in
Fig. <xref ref-type="fig" rid="App1.Ch1.F6"/>. After a warm-up phase
following the power break before the start, the cavity temperature and
warm-box temperature stabilize during segment A and remain narrowly within
the required specifications throughout the flight. Cavity pressure, on the
other hand, responds immediately to aircraft vertical velocity as expected
from Fig. <xref ref-type="fig" rid="App1.Ch1.F6"/>b. During a period of
increased turbulence in segment G, vertical winds increase but do not show a
visible impact on the instrument parameters. The isotope parameters <inline-formula><mml:math id="M594" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>D
and d-excess do not show clear indications of the cavity pressure changes, as
the environmental signals are exceeding the effect of pressure changes
substantially.</p>
      <p>The calibration of the stable isotope measurements was routinely carried out
before and after flights to test the stability of the instrument and to
correct for a continuous drift of the wavelength monitor during the campaign.
While calibration during the flight may be desirable to check that the
instrument does not perform random jumps during the 3–4 <inline-formula><mml:math id="M595" display="inline"><mml:mi mathvariant="normal">h</mml:mi></mml:math></inline-formula> of flight
time, the parallel measurement of water vapour (<inline-formula><mml:math id="M596" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn><mml:mn mathvariant="normal">16</mml:mn></mml:msubsup><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula>) with other
onboard instrumentation provides a valid control that the instrument did in
fact remain stable during normal flight situations, while the calibrations
bracketing several flights ensured the same for the isotope measurements.
Calibration during the flight reduces the available measurement time and
would be more relevant during long-term flights where instrument drift
becomes substantial. In our case the improvement of the data quality due to
in-flight calibration would have been relatively small (see
Appendix <xref ref-type="sec" rid="App1.Ch1.S1.SS4"/>).</p><?xmltex \hack{\clearpage}?>
</sec>
</app>
  </app-group><notes notes-type="competinginterests">

      <p>The authors declare that they have no conflict of
interest.</p>
  </notes><ack><title>Acknowledgements</title><p>We thank Kate Dennis (Picarro Inc.) for helpful support in operating the
custom-modified water vapour stable isotope analyser. B. Adler (IMG-TRO)
kindly helped extract the data from the energy balance station at San
Giuliano, Corsica. Franziska Aemisegger was partly supported by a Swiss
National Science Foundation (SNSF) grant (P2EZP2_155603). MeteoSwiss is
gratefully acknowledged for access to the ECMWF analysis data. We thank the
two anonymous reviewers for their detailed and constructive comments which
helped to improve the paper.  <?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: R. Holzinger   <?xmltex \hack{\newline}?>
Reviewed by: three anonymous referees</p></ack><ref-list>
    <title>References</title>

      <ref id="bib1.bibx1"><label>Adler et al.(2015)</label><mixed-citation>Adler, B., Kalthoff, N., Kohler, M., Handwerker, J., Wieser, A., Corsmeier,
U., Kottmeier, C., Lambert, D., and Bock, O.: The variability of water vapour
and pre-convective conditions over the mountainous island of Corsica, Q. J.
Roy. Meteor. Soc., 142, 335–346, <ext-link xlink:href="http://dx.doi.org/10.1002/qj.2545" ext-link-type="DOI">10.1002/qj.2545</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx2"><label>Aemisegger(2013)</label><mixed-citation>
Aemisegger, F.: Atmospheric stable water isotope measurements at the
timescale of extratropical weather systems, PhD thesis, ETH Zürich,
Switzerland, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx3"><label>Aemisegger et al.(2012)</label><mixed-citation>Aemisegger, F., Sturm, P., Graf, P., Sodemann, H., Pfahl, S., Knohl, A., and
Wernli, H.: Measuring variations of <inline-formula><mml:math id="M597" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O and <inline-formula><mml:math id="M598" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>H in
atmospheric water vapour using two commercial laser-based spectrometers: an
instrument characterisation study, Atmos. Meas. Tech., 5, 1491–1511,
<ext-link xlink:href="http://dx.doi.org/10.5194/amt-5-1491-2012" ext-link-type="DOI">10.5194/amt-5-1491-2012</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bibx4"><label>Aemisegger et al.(2014)</label><mixed-citation>Aemisegger, F., Pfahl, S., Sodemann, H., Lehner, I., Seneviratne, S. I., and
Wernli, H.: Deuterium excess as a proxy for continental moisture recycling
and plant transpiration, Atmos. Chem. Phys., 14, 4029–4054,
<ext-link xlink:href="http://dx.doi.org/10.5194/acp-14-4029-2014" ext-link-type="DOI">10.5194/acp-14-4029-2014</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx5"><label>Aemisegger et al.(2015)</label><mixed-citation>
Aemisegger, F., Spiegel, J. K., Pfahl, S., Sodemann, H., Eugster, W., and
Wernli, H.: Isotope meteorology of cold front passages: A case study
combining observations and modeling, Geophys. Res. Lett., 42, 5652–5660,
2015.</mixed-citation></ref>
      <ref id="bib1.bibx6"><label>Araguàs-Araguàs et al.(2000)</label><mixed-citation>
Araguàs-Araguàs, L., Fröhlich, K., and Rozanski, K.: Deuterium
and oxygen-18 isotope composition of precipitation and atmospheric moisture,
Hydrol. Process., 14, 1341–1355, 2000.</mixed-citation></ref>
      <ref id="bib1.bibx7"><label>Bailey et al.(2015)</label><mixed-citation>Bailey, A., Noone, D., Berkelhammer, M., Steen-Larsen, H. C., and Sato, P.:
The stability and calibration of water vapor isotope ratio measurements
during long-term deployments, Atmos. Meas. Tech., 8, 4521–4538,
<ext-link xlink:href="http://dx.doi.org/10.5194/amt-8-4521-2015" ext-link-type="DOI">10.5194/amt-8-4521-2015</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx8"><label>Barthlott et al.(2014)</label><mixed-citation>Barthlott, C., Adler, B., Kalthoff, N., Handwerker, J., Kohler, M., and
Wieser, A.: The role of Corsica in initiating nocturnal offshore convection,
Q. J. Roy. Meteor. Soc., 142, 222–237, <ext-link xlink:href="http://dx.doi.org/10.1002/qj.2415" ext-link-type="DOI">10.1002/qj.2415</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx9"><label>Bastrikov et al.(2014)</label><mixed-citation>Bastrikov, V., Steen-Larsen, H. C., Masson-Delmotte, V., Gribanov, K.,
Cattani, O., Jouzel, J., and Zakharov, V.: Continuous measurements of
atmospheric water vapour isotopes in western Siberia (Kourovka), Atmos. Meas.
Tech., 7, 1763–1776, <ext-link xlink:href="http://dx.doi.org/10.5194/amt-7-1763-2014" ext-link-type="DOI">10.5194/amt-7-1763-2014</ext-link>, 2014.
</mixed-citation></ref><?xmltex \hack{\newpage}?>
      <ref id="bib1.bibx10"><label>Benetti et al.(2014)</label><mixed-citation>
Benetti, M., Reverdin, G., Pierre, C., Merlivat, L., Risi, C., Steen-Larsen,
H. C., and Vimeux, F.: Deuterium excess in marine water vapor: Dependency on
relative humidity and surface wind speed during evaporation, J. Geophys.
Res.-Atmos., 119, 584–593, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx11"><label>Benetti et al.(2015)</label><mixed-citation>
Benetti, M., Aloisi, G., Reverdin, G., Risi, C., and Sèze, G.: Importance
of boundary layermixing for the isotopic composition of surface vapor over
the subtropical North Atlantic Ocean, J. Geophys. Res.-Atmos., 120,
2190–2209, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx12"><label>Coplen(2011)</label><mixed-citation>
Coplen, T. B.: Guidelines and recommended terms for expression of
stable-isotope-ratio and gas-ratio measurement results, Rapid Commun. Mass
Sp., 25, 2538–2560, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx13"><label>Corsmeier et al.(2001)</label><mixed-citation>
Corsmeier, U., Hankers, R., and Wieser, A.: Airborne turbulence measurements
in the lower troposphere onboard the research aircraft Dornier 128-6, D-IBUF,
Meteorol. Z., 10, 315–329, 2001.</mixed-citation></ref>
      <ref id="bib1.bibx14"><label>Dansgaard(1964)</label><mixed-citation>
Dansgaard, W.: Stable isotopes in precipitation, Tellus, 16, 436–468, 1964.</mixed-citation></ref>
      <ref id="bib1.bibx15"><label>Drobinski et al.(2014)</label><mixed-citation>
Drobinski, P., Ducrocq, V., Alpert, P., Anagnostou, E., Béranger, K.,
Borga, M., Braud, I., Chanzy, A., Davolio, S., Delrieu, G., Estournel, C.,
Boubrahmi, N. F., Font, J., Grubišić, V., Gualdi, S., Homar, V.,
Ivančan-Picek, B., Kottmeier, C., Kotroni, V., Lagouvardos, K.,
Lionello, P., Llasat, M. C., Ludwig, W., Lutoff, C., Mariotti, A., Richard,
E., Romero, R., Rotunno, R., Roussot, O., Ruin, I., Somot, S.,
Taupier-Letage, I., Tintore, J., Uijlenhoet, R., and Wernli, H.: HyMeX:
A 10-Year Multidisciplinary Program on the Mediterranean Water Cycle, B. Am.
Meteorol. Soc., 95, 1063–1082, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx16"><label>Ducrocq et al.(2014)</label><mixed-citation>Ducrocq, V., Braud, I., Davolio, S., Ferretti, R., Flamant, C., Jansa, A.,
Kalthoff, N., Richard, E., Taupier-Letage, I., Ayral, P.-A., Belamari, S.,
Berne, A., Borga, M., Boudevillain, B., Bock, O., Boichard, J.-L., Bouin,
M.-N., Bousquet, O., Bouvier, C., Chiggiato, J., Cimini, D., Corsmeier, U.,
Coppola, L., Cocquerez, P., Defer, E., Delanoë, J., Di Girolamo, P.,
Doerenbecher, A., Drobinski, P., Dufournet, Y., Fourrié, N., Gourley,
J. J., Labatut, L., Lambert, D., Le Coz, J., Marzano, F. S., Molinié, G.,
Montani, A., Nord, G., Nuret, M., Ramage, K., Rison, W., Roussot, O., Said,
F., Schwarzenboeck, A., Testor, P., Van Baelen, J., Vincendon, B., Aran, M.,
Tamayo, J., Ducrocq, V., Braud, I., Davolio, S., Ferretti, R., Jansa, A.,
Richard, E., Taupier-Letage, I., Ayral, P.-A., Belamari, S., Berne, A.,
Borga, M., Boudevillain, B., Bock, O., Boichard, J.-L., Bouin, M.-N.,
Bousquet, O., Bouvier, C., Chiggiato, J., Cimini, D., Corsmeier, U., Coppola,
L., Cocquerez, P., Defer, E., Delanoë, J., Di Girolamo, P., Doerenbecher,
A., Drobinski, P., Dufournet, Y., Fourrié, N., Gourley, J. J., Labatut,
L., Lambert, D., Le Coz, J., Marzano, F. S., Molinié, G., Montani, A.,
Nord, G., Nuret, M., Ramage, K., Rison, W., Roussot, O., Said, F.,
Schwarzenboeck, A., Testor, P., Van Baelen, J., Vincendon, B., Aran, M., and
Tamayo, J.: HyMeX-SOP1: The Field Campaign Dedicated to Heavy Precipitation
and Flash Flooding in the Northwestern Mediterranean, B. Am. Meteorol. Soc.,
95, 1083–1100, <ext-link xlink:href="http://dx.doi.org/10.1175/BAMS-D-12-00244.1" ext-link-type="DOI">10.1175/BAMS-D-12-00244.1</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx17"><label>Dyroff et al.(2010)</label><mixed-citation>
Dyroff, C., Fütterer, D., and Zahn, A.: Compact diode-laser spectrometer
ISOWAT for highly sensitive airborne measurements of water-isotope ratios,
Appl. Phys. B-Lasers O., 98, 537–548, 2010.</mixed-citation></ref>
      <ref id="bib1.bibx18"><label>Dyroff et al.(2015)</label><mixed-citation>Dyroff, C., Sanati, S., Christner, E., Zahn, A., Balzer, M., Bouquet, H.,
McManus, J. B., González-Ramos, Y., and Schneider, M.: Airborne in situ
vertical profiling of HDO <inline-formula><mml:math id="M599" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M600" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn><mml:mn mathvariant="normal">16</mml:mn></mml:msubsup><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> in the subtropical
troposphere during the MUSICA remote sensing validation campaign, Atmos.
Meas. Tech., 8, 2037–2049, <ext-link xlink:href="http://dx.doi.org/10.5194/amt-8-2037-2015" ext-link-type="DOI">10.5194/amt-8-2037-2015</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx19"><label>Ehhalt(1974)</label><mixed-citation>
Ehhalt, D. H.: Vertical profiles of HTO, HDO, and H2O in the troposphere,
National Center for Atmospheric Research, Boulder, Colorado, 1974.</mixed-citation></ref>
      <ref id="bib1.bibx20"><label>Ehhalt and Östlund(1970)</label><mixed-citation>Ehhalt, D. H. and Östlund, H. G.: Deuterium in Hurricane Faith 1966:
Preliminary results, J. Geophys. Res., 75, 2323–2327,
<ext-link xlink:href="http://dx.doi.org/10.1029/JC075i012p02323" ext-link-type="DOI">10.1029/JC075i012p02323</ext-link>, 1970.</mixed-citation></ref>
      <ref id="bib1.bibx21"><label>Ehhalt et al.(2005)</label><mixed-citation>Ehhalt, D. H., Rohrer, F., and Fried, A.: Vertical profiles of
HDO/<inline-formula><mml:math id="M601" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> in the troposphere, J. Geophys. Res., 110, D13301,
<ext-link xlink:href="http://dx.doi.org/10.1029/2004JD005569" ext-link-type="DOI">10.1029/2004JD005569</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bibx22"><label>Galewsky et al.(2011)</label><mixed-citation>Galewsky, J., Rella, C., Sharp, Z., Samuels, K., and Ward, D.: Surface
measurements of upper tropospheric water vapor isotopic composition on the
Chajnantor Plateau, Chile, Geophys. Res. Lett., L17803,
<ext-link xlink:href="http://dx.doi.org/10.1029/2011GL048557" ext-link-type="DOI">10.1029/2011GL048557</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx23"><label>Gat(1996)</label><mixed-citation>
Gat, J. R.: Oxygen and hydrogen isotopes in the hydrologic cycle, Annu. Rev.
Earth Pl. Sc., 24, 225–262, 1996.</mixed-citation></ref>
      <ref id="bib1.bibx24"><label>Gat(2000)</label><mixed-citation>
Gat, J. R.: Atmospheric water balance – the isotopic perspective, Hydrol.
Process., 14, 1357–1369, 2000.</mixed-citation></ref>
      <ref id="bib1.bibx25"><label>Gat et al.(2003)</label><mixed-citation>
Gat, J. R., Klein, B., Kushnir, Y., Roether, W., Wernli, H., Yam, R., and
Shemesh, A.: Isotope composition of air moisture over the Mediterranean Sea:
an index of air-sea interaction pattern, Tellus B, 55, 953–965, 2003.</mixed-citation></ref>
      <ref id="bib1.bibx26"><label>Gedzelman(1988)</label><mixed-citation>
Gedzelman, S. D.: Deuterium in water vapour above the atmospheric boundary
layer, Tellus B, 40, 134–147, 1988.</mixed-citation></ref>
      <ref id="bib1.bibx27"><label>Hanisco et al.(2007)</label><mixed-citation>Hanisco, T. F., Moyer, E. J., Weinstock, E. M., St Clair, J. M., Sayres,
D. S., Smith, J. B., Lockwood, R., Anderson, J. G., Dessler, A. E., Keutsch,
F. N., Spackman, J. R., Read, W. G., and Bui, T. P.: Observations of deep
convective influence on stratospheric water vapor and its isotopic
composition, Geophys. Res. Lett., 34, L04814, <ext-link xlink:href="http://dx.doi.org/10.1029/2006GL027899" ext-link-type="DOI">10.1029/2006GL027899</ext-link>,
2007.</mixed-citation></ref>
      <ref id="bib1.bibx28"><label>He and Smith(1999)</label><mixed-citation>
He, H. and Smith, R.: Stable isotope composition of water vapor in the
atmospheric boundary layer above the forests of New England, J. Geophys.
Res., 104, 11657–11673, 1999.</mixed-citation></ref>
      <ref id="bib1.bibx29"><label>Herman et al.(2014)</label><mixed-citation>Herman, R. L., Cherry, J. E., Young, J., Welker, J. M., Noone, D., Kulawik,
S. S., and Worden, J.: Aircraft validation of Aura Tropospheric Emission
Spectrometer retrievals of HDO <inline-formula><mml:math id="M602" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M603" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula>, Atmos. Meas. Tech., 7,
3127–3138, <ext-link xlink:href="http://dx.doi.org/10.5194/amt-7-3127-2014" ext-link-type="DOI">10.5194/amt-7-3127-2014</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx30"><label>IAEA(2009)</label><mixed-citation>
IAEA: Reference Sheet for VSMOW2 and SLAP2 International Measurement
Standards, International Atomic Energy Agency, Vienna, 5 pp., 2009.</mixed-citation></ref>
      <ref id="bib1.bibx31"><label>Iannone et al.(2009)</label><mixed-citation>
Iannone, R. Q., Kassi, S., Jost, H.-J., Chenevier, M., Romanini, D., Meijer,
H. A. J., Dhaniyala, S., Snels, M., and Kerstel, E. R. T.: Development and
airborne operation of a compact water isotope ratio infrared spectrometer,
Isot. Environ. Health S., 45, 303–320, 2009.</mixed-citation></ref>
      <ref id="bib1.bibx32"><label>Jouzel et al.(1997)</label><mixed-citation>
Jouzel, J., Alley, R. B., Cuffey, K. M., Dansgaard, W., Grootes, P.,
Hoffmann, G., Johnsen, S. J., Koster, R. D., Peel, D., Shuman, C. A.,
Stievenard, M., Stuiver, M., and White, J.: Validity of the temperature
reconstruction from water isotopes in ice cores, J. Geophys. Res., 102,
26471–26487, 1997.</mixed-citation></ref>
      <ref id="bib1.bibx33"><label>Kalthoff et al.(2013)</label><mixed-citation>
Kalthoff, N., Adler, B., Wieser, A., Kohler, M., Träumner, K.,
Handwerker, J., Corsmeier, U., Khodayar, S., Lambert, D., Kopmann, A., Kunka,
N., Dick, G., Ramatschi, M., Wickert, J., and Kottmeier, C.: KITcube –
a mobile observation platform for convection studies deployed during HyMeX,
Meteorol. Z., 22, 633–647, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx34"><label>Kerstel(2004)</label><mixed-citation>
Kerstel, E. R. T.: Isotope ratio infrared spectrometry, in: Handbook of
Stable Isotope Analytical Techniques, edited by: de Groot, P. A., 759–787,
Elsevier, Amsterdam, 2004.</mixed-citation></ref>
      <ref id="bib1.bibx35"><label>Kurita(2011)</label><mixed-citation>Kurita, N.: Origin of Arctic water vapor during the ice-growth season,
Geophys. Res. Lett., 38, L02709, <ext-link xlink:href="http://dx.doi.org/10.1029/2010GL046064" ext-link-type="DOI">10.1029/2010GL046064</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx36"><label>Lawrence et al.(2002)</label><mixed-citation>
Lawrence, J. R., Gedzelman, S. D., Gamache, J., and Black, M.: Stable isotope
ratios: Hurrican Olivia, J. Atmos. Chem., 41, 67–82, 2002.</mixed-citation></ref>
      <ref id="bib1.bibx37"><label>Merlivat and Jouzel(1979)</label><mixed-citation>
Merlivat, L. and Jouzel, J.: Global climatic interpretation of the
Deuterium-Oxygen 18 relationship for precipitation, J. Geophys. Res., 84,
5029–5033, 1979.</mixed-citation></ref>
      <ref id="bib1.bibx38"><label>Noone(2012)</label><mixed-citation>
Noone, D.: Pairing measurements of the water vapor isotope ratio with
humidity to deduce atmospheric moistening and dehydration in the Tropical
Midtroposphere, J. Climate, 25, 4476–4494, 2012.</mixed-citation></ref>
      <ref id="bib1.bibx39"><label>Pfahl and Sodemann(2014)</label><mixed-citation>Pfahl, S. and Sodemann, H.: What controls deuterium excess in global
precipitation?, Clim. Past, 10, 771–781, <ext-link xlink:href="http://dx.doi.org/10.5194/cp-10-771-2014" ext-link-type="DOI">10.5194/cp-10-771-2014</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx40"><label>Pfahl and Wernli(2008)</label><mixed-citation>Pfahl, S. and Wernli, H.: Air parcel trajectory analysis of stable isotopes
in water vapor in the eastern Mediterranean, J. Geophys. Res., 113, D20104,
<ext-link xlink:href="http://dx.doi.org/10.1029/2008JD009839" ext-link-type="DOI">10.1029/2008JD009839</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bibx41"><label>Pollock et al.(1980)</label><mixed-citation>
Pollock, W., Heidt, L. E., Lueb, R., and Ehhalt, D. H.: Measurement of
Stratospheric Water-Vapor by Cryogenic Collection, J. Geophys. Res., 85,
5555–5568, 1980.</mixed-citation></ref>
      <ref id="bib1.bibx42"><label>Risi et al.(2012)</label><mixed-citation>Risi, C., Noone, D., Worden, J., Frankenberg, C., Stiller, G., Kiefer, M.,
Funke, B., Walker, K., Bernath, P., Schneider, M., Wunch, D., Sherlock, V.,
Deutscher, N., Griffith, D., Wennberg, P. O., Strong, K., Smale, D., Mahieu,
E., Barthlott, S., Hase, F., García, O., Notholt, J., Warneke, T., Toon,
G., Sayres, D., Bony, S., Lee, J., Brown, D., Uemura, R., and Sturm, C.:
Process-evaluation of tropospheric humidity simulated by general circulation
models using water vapor isotopologues: 1. Comparison between models and
observations, J. Geophys. Res., 117, D05303, <ext-link xlink:href="http://dx.doi.org/10.1029/2011jd016621" ext-link-type="DOI">10.1029/2011jd016621</ext-link>,
2012.</mixed-citation></ref>
      <ref id="bib1.bibx43"><label>Rozanski and Sonntag(1982)</label><mixed-citation>
Rozanski, K. and Sonntag, C.: Vertical distribution of deuterium in
atmospheric water vapour, Tellus, 34, 135–141, 1982.</mixed-citation></ref>
      <ref id="bib1.bibx44"><label>Rozanski and Sonntag(1984)</label><mixed-citation>Rozanski, K. and Sonntag, C.: Reply to C. B. Taylor, Tellus B, 36, 71–72,
<ext-link xlink:href="http://dx.doi.org/10.1111/j.1600-0889.1984.tb00054.x" ext-link-type="DOI">10.1111/j.1600-0889.1984.tb00054.x</ext-link>, 1984.</mixed-citation></ref>
      <ref id="bib1.bibx45"><label>Samuels-Crow et al.(2014)</label><mixed-citation>Samuels-Crow, K. E., Galewsky, J., Sharp, Z. D., and Dennis, K. J.: Deuterium
excess in subtropical free troposphere water vapor: Continuous measurements
from the Chajnantor Plateau, northern Chile, Geophys. Res. Lett., 41,
8652–8659, <ext-link xlink:href="http://dx.doi.org/10.1002/2014GL062302" ext-link-type="DOI">10.1002/2014GL062302</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx46"><label>Sayres et al.(2009)</label><mixed-citation>Sayres, D. S., Moyer, E. J., Hanisco, T. F., Clair, J. M. S., Keutsch, F. N.,
O'Brien, A., Allen, N. T., Lapson, L., Demusz, J. N., Rivero, M., Martin, T.,
Greenberg, M., Tuozzolo, C., Engel, G. S., Kroll, J. H., Paul, J. B., and
Anderson, J. G.: A new cavity based absorption instrument for detection of
water isotopologues in the upper troposphere and lower stratosphere, Rev.
Sci. Instrum., 80, 044102, <ext-link xlink:href="http://dx.doi.org/10.1063/1.3117349" ext-link-type="DOI">10.1063/1.3117349</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bibx47"><label>Smith(1992)</label><mixed-citation>
Smith, R. B.: Deuterium in North Atlantic storm tops, J. Atmos. Sci., 49,
2041–2057, 1992.</mixed-citation></ref>
      <ref id="bib1.bibx48"><label>Sodemann et al.(2008a)</label><mixed-citation>Sodemann, H., Masson-Delmotte, V., Schwierz, C., Vinther, B., and Wernli, H.:
Interannual variability of Greenland winter precipitation sources. 2. Effects
of North Atlantic Oscillation variability on stable isotopes in
precipitation, J. Geophys. Res., 113, D12111, <ext-link xlink:href="http://dx.doi.org/10.1029/2007JD009416" ext-link-type="DOI">10.1029/2007JD009416</ext-link>,
2008a.</mixed-citation></ref>
      <ref id="bib1.bibx49"><label>Sodemann et al.(2008b)</label><mixed-citation>Sodemann, H., Schwierz, C., and Wernli, H.: Interannual variability of
Greenland winter precipitation sources: Lagrangian moisture diagnostic and
North Atlantic Oscillation influence, J. Geophys. Res., 113, D03107,
<ext-link xlink:href="http://dx.doi.org/10.1029/2007JD008503" ext-link-type="DOI">10.1029/2007JD008503</ext-link> 2008b.</mixed-citation></ref>
      <ref id="bib1.bibx50"><label>Sonntag et al.(1983)</label><mixed-citation>Sonntag, C., Münnich, K. O., Jacob, H., and Rozanski, K.: Variations of
deuterium and oxygen-18 in continental precipitation and groundwater, and
their causes, in: Variations in the Global Water Budget, edited by:
Street-Perrott, A., Beran, M., and Ratcliffe, R., Springer Netherlands,
107–124, <ext-link xlink:href="http://dx.doi.org/10.1007/978-94-009-6954-4_7" ext-link-type="DOI">10.1007/978-94-009-6954-4_7</ext-link>, 1983.</mixed-citation></ref>
      <ref id="bib1.bibx51"><label>Sturm and Knohl(2010)</label><mixed-citation>Sturm, P. and Knohl, A.: Water vapor <inline-formula><mml:math id="M604" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>H and <inline-formula><mml:math id="M605" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O
measurements using off-axis integrated cavity output spectroscopy, Atmos.
Meas. Tech., 3, 67–77, <ext-link xlink:href="http://dx.doi.org/10.5194/amt-3-67-2010" ext-link-type="DOI">10.5194/amt-3-67-2010</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bibx52"><label>Taylor(1972)</label><mixed-citation>
Taylor, C. B.: The vertical variations of isotopic concentrations of
tropospheric water vapour over continental Europe, and their relationship to
tropospheric structure, PhD thesis, Institute of Nuclear Sciences, Lower
Hutt, New Zealand, 1972.</mixed-citation></ref>
      <ref id="bib1.bibx53"><label>Taylor(1984)</label><mixed-citation>
Taylor, C. B.: Vertical-distribution of deuterium in atmospheric water-vapor:
problems in application to assess atmospheric condensation models, Tellus B,
36, 67–70, 1984.</mixed-citation></ref>
      <ref id="bib1.bibx54"><label>Tremoy et al.(2012)</label><mixed-citation>Tremoy, G., Vimeux, F., Mayaki, S., Souley, I., Cattani, O., Risi, C.,
Favreau, G., and Oi, M.: A 1-year long <inline-formula><mml:math id="M606" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>O record of water vapor
in Niamey (Niger) reveals insightful atmospheric processes at different
timescales, Geophys. Res. Lett., 39, L08805, <ext-link xlink:href="http://dx.doi.org/10.1029/2012GL051298" ext-link-type="DOI">10.1029/2012GL051298</ext-link>,
2012.
</mixed-citation></ref><?xmltex \hack{\newpage}?>
      <ref id="bib1.bibx55"><label>Tsujimura et al.(2007)</label><mixed-citation>
Tsujimura, M., Sasaki, L., Yamanaka, T., Sugimoto, A., Li, S.-G., Matsushima,
D., Kotani, A., and Saandar, M.: Vertical distribution of stable isotopic
composition in atmospheric water vapor and subsurface water in grassland and
forest sites, eastern Mongolia, J. Hydrol., 333, 35–46, 2007.</mixed-citation></ref>
      <ref id="bib1.bibx56"><label>Uemura et al.(2012)</label><mixed-citation>Uemura, R., Masson-Delmotte, V., Jouzel, J., Landais, A., Motoyama, H., and
Stenni, B.: Ranges of moisture-source temperature estimated from Antarctic
ice cores stable isotope records over glacial–interglacial cycles, Clim.
Past, 8, 1109–1125, <ext-link xlink:href="http://dx.doi.org/10.5194/cp-8-1109-2012" ext-link-type="DOI">10.5194/cp-8-1109-2012</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bibx57"><label>Webster and Heymsfield(2003)</label><mixed-citation>Webster, C. R. and Heymsfield, A. J.: Water isotope ratios D/H,
<inline-formula><mml:math id="M607" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">18</mml:mn></mml:msup></mml:math></inline-formula>O/<inline-formula><mml:math id="M608" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">16</mml:mn></mml:msup></mml:math></inline-formula>O, <inline-formula><mml:math id="M609" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">17</mml:mn></mml:msup></mml:math></inline-formula>O/<inline-formula><mml:math id="M610" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">16</mml:mn></mml:msup></mml:math></inline-formula>O in and out of clouds map dehydration
pathways, Science, 302, 1742–1745, 2003.</mixed-citation></ref>
      <ref id="bib1.bibx58"><label>Wernli and Davies(1997)</label><mixed-citation>
Wernli, H. and Davies, H. C.: A Lagrangian-based analysis of extratropical
cyclones. I: The method and some applications, Q. J. Roy. Meteor. Soc., 123,
467–489, 1997.</mixed-citation></ref>
      <ref id="bib1.bibx59"><label>Wieser(2005)</label><mixed-citation>
Wieser, A.: Messung turbulenter Spurengasflüsse vom Flugzeug aus, PhD
thesis, University of Karlsruhe, Germany, Wissenschaftliche Berichte des
Instituts für Meteorologie und Klimaforschung, Nr. 34, 2005.</mixed-citation></ref>
      <ref id="bib1.bibx60"><label>Worden et al.(2007)</label><mixed-citation>
Worden, J., Noone, D., Bowman, K., and the TES team: Importance of rain
evaporation and continental convection in the tropical water cycle, Nature,
445, 528–532, 2007.</mixed-citation></ref>
      <ref id="bib1.bibx61"><label>Zahn et al.(1998)</label><mixed-citation>
Zahn, A., Barth, V., Pfeilsticker, K., and Platt, U.: Deuterium, oxygen-18,
and tritium as tracers for water vapour transport in the lower stratosphere
and tropopause region, J. Atmos. Chem., 30, 25–47, 1998.</mixed-citation></ref>

  </ref-list><app-group content-type="float"><app><title/>

    </app></app-group></back>
    <!--<article-title-html>The stable isotopic composition of water vapour above Corsica during the HyMeX SOP1 campaign: insight into vertical mixing processes from lower-tropospheric survey flights</article-title-html>
<abstract-html><p class="p">Stable isotopes of water vapour are powerful indicators of meteorological
processes on a broad range of scales, reflecting evaporation, condensation,
and air mass mixing processes. With the recent advent of fast laser-based
spectroscopic methods, it has become possible to measure the stable isotopic
composition of atmospheric water vapour in situ at a high temporal
resolution. Here we present results from such comprehensive airborne
spectroscopic isotope measurements in water vapour over the western
Mediterranean at a high spatial and temporal resolution. Measurements have
been acquired by a customized Picarro L2130-i cavity-ring down spectrometer
deployed onboard the Dornier 128 D-IBUF aircraft together with a
meteorological flux measurement package during the HyMeX SOP1 (Hydrological
cycle in Mediterranean Experiment special observation period 1) field
campaign in Corsica, France, during September and October 2012. Taking into
account memory effects of the air inlet pipe, the typical time resolution of
the measurements was about 15–30 s, resulting in an average
horizontal resolution of about 1–2 km. Cross-calibration of the
water vapour measurements from all humidity sensors showed good agreement
under most flight conditions but the most turbulent ones. In total 21
successful stable isotope flights with 59 flight hours have been performed.
Our data provide quasi-climatological autumn average conditions and vertical
profiles of the stable isotope parameters <i>δ</i>D, <i>δ</i><sup>18</sup>O, and
d-excess during the study period. A d-excess minimum in the overall average
profile is reached in the region of the boundary-layer top, possibly caused
by precipitation evaporation. This minimum is bracketed by higher d-excess
values near the surface caused by non-equilibrium fractionation, and a
maximum above the boundary layer related to the increasing d-excess in very
depleted and dry high-altitude air masses. Repeated flights along the same
pattern reveal pronounced day-to-day variability due to changes in the
large-scale circulation. During a period marked by a strong inversion at the
top of the marine boundary layer, vertical gradients in stable isotopes
reached up to 25.4 ‰ 100 m<sup>−1</sup> for <i>δ</i>D and
24.0 ‰ 100 m<sup>−1</sup> for the d-excess.</p></abstract-html>
<ref-html id="bib1.bib1"><label>Adler et al.(2015)</label><mixed-citation>
Adler, B., Kalthoff, N., Kohler, M., Handwerker, J., Wieser, A., Corsmeier,
U., Kottmeier, C., Lambert, D., and Bock, O.: The variability of water vapour
and pre-convective conditions over the mountainous island of Corsica, Q. J.
Roy. Meteor. Soc., 142, 335–346, <a href="http://dx.doi.org/10.1002/qj.2545" target="_blank">doi:10.1002/qj.2545</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>Aemisegger(2013)</label><mixed-citation>
Aemisegger, F.: Atmospheric stable water isotope measurements at the
timescale of extratropical weather systems, PhD thesis, ETH Zürich,
Switzerland, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>Aemisegger et al.(2012)</label><mixed-citation>
Aemisegger, F., Sturm, P., Graf, P., Sodemann, H., Pfahl, S., Knohl, A., and
Wernli, H.: Measuring variations of <i>δ</i><sup>18</sup>O and <i>δ</i><sup>2</sup>H in
atmospheric water vapour using two commercial laser-based spectrometers: an
instrument characterisation study, Atmos. Meas. Tech., 5, 1491–1511,
<a href="http://dx.doi.org/10.5194/amt-5-1491-2012" target="_blank">doi:10.5194/amt-5-1491-2012</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>Aemisegger et al.(2014)</label><mixed-citation>
Aemisegger, F., Pfahl, S., Sodemann, H., Lehner, I., Seneviratne, S. I., and
Wernli, H.: Deuterium excess as a proxy for continental moisture recycling
and plant transpiration, Atmos. Chem. Phys., 14, 4029–4054,
<a href="http://dx.doi.org/10.5194/acp-14-4029-2014" target="_blank">doi:10.5194/acp-14-4029-2014</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>Aemisegger et al.(2015)</label><mixed-citation>
Aemisegger, F., Spiegel, J. K., Pfahl, S., Sodemann, H., Eugster, W., and
Wernli, H.: Isotope meteorology of cold front passages: A case study
combining observations and modeling, Geophys. Res. Lett., 42, 5652–5660,
2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>Araguàs-Araguàs et al.(2000)</label><mixed-citation>
Araguàs-Araguàs, L., Fröhlich, K., and Rozanski, K.: Deuterium
and oxygen-18 isotope composition of precipitation and atmospheric moisture,
Hydrol. Process., 14, 1341–1355, 2000.
</mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>Bailey et al.(2015)</label><mixed-citation>
Bailey, A., Noone, D., Berkelhammer, M., Steen-Larsen, H. C., and Sato, P.:
The stability and calibration of water vapor isotope ratio measurements
during long-term deployments, Atmos. Meas. Tech., 8, 4521–4538,
<a href="http://dx.doi.org/10.5194/amt-8-4521-2015" target="_blank">doi:10.5194/amt-8-4521-2015</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>Barthlott et al.(2014)</label><mixed-citation>
Barthlott, C., Adler, B., Kalthoff, N., Handwerker, J., Kohler, M., and
Wieser, A.: The role of Corsica in initiating nocturnal offshore convection,
Q. J. Roy. Meteor. Soc., 142, 222–237, <a href="http://dx.doi.org/10.1002/qj.2415" target="_blank">doi:10.1002/qj.2415</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>Bastrikov et al.(2014)</label><mixed-citation>
Bastrikov, V., Steen-Larsen, H. C., Masson-Delmotte, V., Gribanov, K.,
Cattani, O., Jouzel, J., and Zakharov, V.: Continuous measurements of
atmospheric water vapour isotopes in western Siberia (Kourovka), Atmos. Meas.
Tech., 7, 1763–1776, <a href="http://dx.doi.org/10.5194/amt-7-1763-2014" target="_blank">doi:10.5194/amt-7-1763-2014</a>, 2014.

</mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>Benetti et al.(2014)</label><mixed-citation>
Benetti, M., Reverdin, G., Pierre, C., Merlivat, L., Risi, C., Steen-Larsen,
H. C., and Vimeux, F.: Deuterium excess in marine water vapor: Dependency on
relative humidity and surface wind speed during evaporation, J. Geophys.
Res.-Atmos., 119, 584–593, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>Benetti et al.(2015)</label><mixed-citation>
Benetti, M., Aloisi, G., Reverdin, G., Risi, C., and Sèze, G.: Importance
of boundary layermixing for the isotopic composition of surface vapor over
the subtropical North Atlantic Ocean, J. Geophys. Res.-Atmos., 120,
2190–2209, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>Coplen(2011)</label><mixed-citation>
Coplen, T. B.: Guidelines and recommended terms for expression of
stable-isotope-ratio and gas-ratio measurement results, Rapid Commun. Mass
Sp., 25, 2538–2560, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>Corsmeier et al.(2001)</label><mixed-citation>
Corsmeier, U., Hankers, R., and Wieser, A.: Airborne turbulence measurements
in the lower troposphere onboard the research aircraft Dornier 128-6, D-IBUF,
Meteorol. Z., 10, 315–329, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>Dansgaard(1964)</label><mixed-citation>
Dansgaard, W.: Stable isotopes in precipitation, Tellus, 16, 436–468, 1964.
</mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>Drobinski et al.(2014)</label><mixed-citation>
Drobinski, P., Ducrocq, V., Alpert, P., Anagnostou, E., Béranger, K.,
Borga, M., Braud, I., Chanzy, A., Davolio, S., Delrieu, G., Estournel, C.,
Boubrahmi, N. F., Font, J., Grubišić, V., Gualdi, S., Homar, V.,
Ivančan-Picek, B., Kottmeier, C., Kotroni, V., Lagouvardos, K.,
Lionello, P., Llasat, M. C., Ludwig, W., Lutoff, C., Mariotti, A., Richard,
E., Romero, R., Rotunno, R., Roussot, O., Ruin, I., Somot, S.,
Taupier-Letage, I., Tintore, J., Uijlenhoet, R., and Wernli, H.: HyMeX:
A 10-Year Multidisciplinary Program on the Mediterranean Water Cycle, B. Am.
Meteorol. Soc., 95, 1063–1082, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>Ducrocq et al.(2014)</label><mixed-citation>
Ducrocq, V., Braud, I., Davolio, S., Ferretti, R., Flamant, C., Jansa, A.,
Kalthoff, N., Richard, E., Taupier-Letage, I., Ayral, P.-A., Belamari, S.,
Berne, A., Borga, M., Boudevillain, B., Bock, O., Boichard, J.-L., Bouin,
M.-N., Bousquet, O., Bouvier, C., Chiggiato, J., Cimini, D., Corsmeier, U.,
Coppola, L., Cocquerez, P., Defer, E., Delanoë, J., Di Girolamo, P.,
Doerenbecher, A., Drobinski, P., Dufournet, Y., Fourrié, N., Gourley,
J. J., Labatut, L., Lambert, D., Le Coz, J., Marzano, F. S., Molinié, G.,
Montani, A., Nord, G., Nuret, M., Ramage, K., Rison, W., Roussot, O., Said,
F., Schwarzenboeck, A., Testor, P., Van Baelen, J., Vincendon, B., Aran, M.,
Tamayo, J., Ducrocq, V., Braud, I., Davolio, S., Ferretti, R., Jansa, A.,
Richard, E., Taupier-Letage, I., Ayral, P.-A., Belamari, S., Berne, A.,
Borga, M., Boudevillain, B., Bock, O., Boichard, J.-L., Bouin, M.-N.,
Bousquet, O., Bouvier, C., Chiggiato, J., Cimini, D., Corsmeier, U., Coppola,
L., Cocquerez, P., Defer, E., Delanoë, J., Di Girolamo, P., Doerenbecher,
A., Drobinski, P., Dufournet, Y., Fourrié, N., Gourley, J. J., Labatut,
L., Lambert, D., Le Coz, J., Marzano, F. S., Molinié, G., Montani, A.,
Nord, G., Nuret, M., Ramage, K., Rison, W., Roussot, O., Said, F.,
Schwarzenboeck, A., Testor, P., Van Baelen, J., Vincendon, B., Aran, M., and
Tamayo, J.: HyMeX-SOP1: The Field Campaign Dedicated to Heavy Precipitation
and Flash Flooding in the Northwestern Mediterranean, B. Am. Meteorol. Soc.,
95, 1083–1100, <a href="http://dx.doi.org/10.1175/BAMS-D-12-00244.1" target="_blank">doi:10.1175/BAMS-D-12-00244.1</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>Dyroff et al.(2010)</label><mixed-citation>
Dyroff, C., Fütterer, D., and Zahn, A.: Compact diode-laser spectrometer
ISOWAT for highly sensitive airborne measurements of water-isotope ratios,
Appl. Phys. B-Lasers O., 98, 537–548, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>Dyroff et al.(2015)</label><mixed-citation>
Dyroff, C., Sanati, S., Christner, E., Zahn, A., Balzer, M., Bouquet, H.,
McManus, J. B., González-Ramos, Y., and Schneider, M.: Airborne in situ
vertical profiling of HDO ∕ H<sub>2</sub><sup>16</sup>O in the subtropical
troposphere during the MUSICA remote sensing validation campaign, Atmos.
Meas. Tech., 8, 2037–2049, <a href="http://dx.doi.org/10.5194/amt-8-2037-2015" target="_blank">doi:10.5194/amt-8-2037-2015</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>Ehhalt(1974)</label><mixed-citation>
Ehhalt, D. H.: Vertical profiles of HTO, HDO, and H2O in the troposphere,
National Center for Atmospheric Research, Boulder, Colorado, 1974.
</mixed-citation></ref-html>
<ref-html id="bib1.bib20"><label>Ehhalt and Östlund(1970)</label><mixed-citation>
Ehhalt, D. H. and Östlund, H. G.: Deuterium in Hurricane Faith 1966:
Preliminary results, J. Geophys. Res., 75, 2323–2327,
<a href="http://dx.doi.org/10.1029/JC075i012p02323" target="_blank">doi:10.1029/JC075i012p02323</a>, 1970.
</mixed-citation></ref-html>
<ref-html id="bib1.bib21"><label>Ehhalt et al.(2005)</label><mixed-citation>
Ehhalt, D. H., Rohrer, F., and Fried, A.: Vertical profiles of
HDO/H<sub>2</sub>O in the troposphere, J. Geophys. Res., 110, D13301,
<a href="http://dx.doi.org/10.1029/2004JD005569" target="_blank">doi:10.1029/2004JD005569</a>, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib22"><label>Galewsky et al.(2011)</label><mixed-citation>
Galewsky, J., Rella, C., Sharp, Z., Samuels, K., and Ward, D.: Surface
measurements of upper tropospheric water vapor isotopic composition on the
Chajnantor Plateau, Chile, Geophys. Res. Lett., L17803,
<a href="http://dx.doi.org/10.1029/2011GL048557" target="_blank">doi:10.1029/2011GL048557</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib23"><label>Gat(1996)</label><mixed-citation>
Gat, J. R.: Oxygen and hydrogen isotopes in the hydrologic cycle, Annu. Rev.
Earth Pl. Sc., 24, 225–262, 1996.
</mixed-citation></ref-html>
<ref-html id="bib1.bib24"><label>Gat(2000)</label><mixed-citation>
Gat, J. R.: Atmospheric water balance – the isotopic perspective, Hydrol.
Process., 14, 1357–1369, 2000.
</mixed-citation></ref-html>
<ref-html id="bib1.bib25"><label>Gat et al.(2003)</label><mixed-citation>
Gat, J. R., Klein, B., Kushnir, Y., Roether, W., Wernli, H., Yam, R., and
Shemesh, A.: Isotope composition of air moisture over the Mediterranean Sea:
an index of air-sea interaction pattern, Tellus B, 55, 953–965, 2003.
</mixed-citation></ref-html>
<ref-html id="bib1.bib26"><label>Gedzelman(1988)</label><mixed-citation>
Gedzelman, S. D.: Deuterium in water vapour above the atmospheric boundary
layer, Tellus B, 40, 134–147, 1988.
</mixed-citation></ref-html>
<ref-html id="bib1.bib27"><label>Hanisco et al.(2007)</label><mixed-citation>
Hanisco, T. F., Moyer, E. J., Weinstock, E. M., St Clair, J. M., Sayres,
D. S., Smith, J. B., Lockwood, R., Anderson, J. G., Dessler, A. E., Keutsch,
F. N., Spackman, J. R., Read, W. G., and Bui, T. P.: Observations of deep
convective influence on stratospheric water vapor and its isotopic
composition, Geophys. Res. Lett., 34, L04814, <a href="http://dx.doi.org/10.1029/2006GL027899" target="_blank">doi:10.1029/2006GL027899</a>,
2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib28"><label>He and Smith(1999)</label><mixed-citation>
He, H. and Smith, R.: Stable isotope composition of water vapor in the
atmospheric boundary layer above the forests of New England, J. Geophys.
Res., 104, 11657–11673, 1999.
</mixed-citation></ref-html>
<ref-html id="bib1.bib29"><label>Herman et al.(2014)</label><mixed-citation>
Herman, R. L., Cherry, J. E., Young, J., Welker, J. M., Noone, D., Kulawik,
S. S., and Worden, J.: Aircraft validation of Aura Tropospheric Emission
Spectrometer retrievals of HDO ∕ H<sub>2</sub>O, Atmos. Meas. Tech., 7,
3127–3138, <a href="http://dx.doi.org/10.5194/amt-7-3127-2014" target="_blank">doi:10.5194/amt-7-3127-2014</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib30"><label>IAEA(2009)</label><mixed-citation>
IAEA: Reference Sheet for VSMOW2 and SLAP2 International Measurement
Standards, International Atomic Energy Agency, Vienna, 5 pp., 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib31"><label>Iannone et al.(2009)</label><mixed-citation>
Iannone, R. Q., Kassi, S., Jost, H.-J., Chenevier, M., Romanini, D., Meijer,
H. A. J., Dhaniyala, S., Snels, M., and Kerstel, E. R. T.: Development and
airborne operation of a compact water isotope ratio infrared spectrometer,
Isot. Environ. Health S., 45, 303–320, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib32"><label>Jouzel et al.(1997)</label><mixed-citation>
Jouzel, J., Alley, R. B., Cuffey, K. M., Dansgaard, W., Grootes, P.,
Hoffmann, G., Johnsen, S. J., Koster, R. D., Peel, D., Shuman, C. A.,
Stievenard, M., Stuiver, M., and White, J.: Validity of the temperature
reconstruction from water isotopes in ice cores, J. Geophys. Res., 102,
26471–26487, 1997.
</mixed-citation></ref-html>
<ref-html id="bib1.bib33"><label>Kalthoff et al.(2013)</label><mixed-citation>
Kalthoff, N., Adler, B., Wieser, A., Kohler, M., Träumner, K.,
Handwerker, J., Corsmeier, U., Khodayar, S., Lambert, D., Kopmann, A., Kunka,
N., Dick, G., Ramatschi, M., Wickert, J., and Kottmeier, C.: KITcube –
a mobile observation platform for convection studies deployed during HyMeX,
Meteorol. Z., 22, 633–647, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib34"><label>Kerstel(2004)</label><mixed-citation>
Kerstel, E. R. T.: Isotope ratio infrared spectrometry, in: Handbook of
Stable Isotope Analytical Techniques, edited by: de Groot, P. A., 759–787,
Elsevier, Amsterdam, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib35"><label>Kurita(2011)</label><mixed-citation>
Kurita, N.: Origin of Arctic water vapor during the ice-growth season,
Geophys. Res. Lett., 38, L02709, <a href="http://dx.doi.org/10.1029/2010GL046064" target="_blank">doi:10.1029/2010GL046064</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib36"><label>Lawrence et al.(2002)</label><mixed-citation>
Lawrence, J. R., Gedzelman, S. D., Gamache, J., and Black, M.: Stable isotope
ratios: Hurrican Olivia, J. Atmos. Chem., 41, 67–82, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib37"><label>Merlivat and Jouzel(1979)</label><mixed-citation>
Merlivat, L. and Jouzel, J.: Global climatic interpretation of the
Deuterium-Oxygen 18 relationship for precipitation, J. Geophys. Res., 84,
5029–5033, 1979.
</mixed-citation></ref-html>
<ref-html id="bib1.bib38"><label>Noone(2012)</label><mixed-citation>
Noone, D.: Pairing measurements of the water vapor isotope ratio with
humidity to deduce atmospheric moistening and dehydration in the Tropical
Midtroposphere, J. Climate, 25, 4476–4494, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib39"><label>Pfahl and Sodemann(2014)</label><mixed-citation>
Pfahl, S. and Sodemann, H.: What controls deuterium excess in global
precipitation?, Clim. Past, 10, 771–781, <a href="http://dx.doi.org/10.5194/cp-10-771-2014" target="_blank">doi:10.5194/cp-10-771-2014</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib40"><label>Pfahl and Wernli(2008)</label><mixed-citation>
Pfahl, S. and Wernli, H.: Air parcel trajectory analysis of stable isotopes
in water vapor in the eastern Mediterranean, J. Geophys. Res., 113, D20104,
<a href="http://dx.doi.org/10.1029/2008JD009839" target="_blank">doi:10.1029/2008JD009839</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib41"><label>Pollock et al.(1980)</label><mixed-citation>
Pollock, W., Heidt, L. E., Lueb, R., and Ehhalt, D. H.: Measurement of
Stratospheric Water-Vapor by Cryogenic Collection, J. Geophys. Res., 85,
5555–5568, 1980.
</mixed-citation></ref-html>
<ref-html id="bib1.bib42"><label>Risi et al.(2012)</label><mixed-citation>
Risi, C., Noone, D., Worden, J., Frankenberg, C., Stiller, G., Kiefer, M.,
Funke, B., Walker, K., Bernath, P., Schneider, M., Wunch, D., Sherlock, V.,
Deutscher, N., Griffith, D., Wennberg, P. O., Strong, K., Smale, D., Mahieu,
E., Barthlott, S., Hase, F., García, O., Notholt, J., Warneke, T., Toon,
G., Sayres, D., Bony, S., Lee, J., Brown, D., Uemura, R., and Sturm, C.:
Process-evaluation of tropospheric humidity simulated by general circulation
models using water vapor isotopologues: 1. Comparison between models and
observations, J. Geophys. Res., 117, D05303, <a href="http://dx.doi.org/10.1029/2011jd016621" target="_blank">doi:10.1029/2011jd016621</a>,
2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib43"><label>Rozanski and Sonntag(1982)</label><mixed-citation>
Rozanski, K. and Sonntag, C.: Vertical distribution of deuterium in
atmospheric water vapour, Tellus, 34, 135–141, 1982.
</mixed-citation></ref-html>
<ref-html id="bib1.bib44"><label>Rozanski and Sonntag(1984)</label><mixed-citation>
Rozanski, K. and Sonntag, C.: Reply to C. B. Taylor, Tellus B, 36, 71–72,
<a href="http://dx.doi.org/10.1111/j.1600-0889.1984.tb00054.x" target="_blank">doi:10.1111/j.1600-0889.1984.tb00054.x</a>, 1984.
</mixed-citation></ref-html>
<ref-html id="bib1.bib45"><label>Samuels-Crow et al.(2014)</label><mixed-citation>
Samuels-Crow, K. E., Galewsky, J., Sharp, Z. D., and Dennis, K. J.: Deuterium
excess in subtropical free troposphere water vapor: Continuous measurements
from the Chajnantor Plateau, northern Chile, Geophys. Res. Lett., 41,
8652–8659, <a href="http://dx.doi.org/10.1002/2014GL062302" target="_blank">doi:10.1002/2014GL062302</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib46"><label>Sayres et al.(2009)</label><mixed-citation>
Sayres, D. S., Moyer, E. J., Hanisco, T. F., Clair, J. M. S., Keutsch, F. N.,
O'Brien, A., Allen, N. T., Lapson, L., Demusz, J. N., Rivero, M., Martin, T.,
Greenberg, M., Tuozzolo, C., Engel, G. S., Kroll, J. H., Paul, J. B., and
Anderson, J. G.: A new cavity based absorption instrument for detection of
water isotopologues in the upper troposphere and lower stratosphere, Rev.
Sci. Instrum., 80, 044102, <a href="http://dx.doi.org/10.1063/1.3117349" target="_blank">doi:10.1063/1.3117349</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib47"><label>Smith(1992)</label><mixed-citation>
Smith, R. B.: Deuterium in North Atlantic storm tops, J. Atmos. Sci., 49,
2041–2057, 1992.
</mixed-citation></ref-html>
<ref-html id="bib1.bib48"><label>Sodemann et al.(2008a)</label><mixed-citation>
Sodemann, H., Masson-Delmotte, V., Schwierz, C., Vinther, B., and Wernli, H.:
Interannual variability of Greenland winter precipitation sources. 2. Effects
of North Atlantic Oscillation variability on stable isotopes in
precipitation, J. Geophys. Res., 113, D12111, <a href="http://dx.doi.org/10.1029/2007JD009416" target="_blank">doi:10.1029/2007JD009416</a>,
2008a.
</mixed-citation></ref-html>
<ref-html id="bib1.bib49"><label>Sodemann et al.(2008b)</label><mixed-citation>
Sodemann, H., Schwierz, C., and Wernli, H.: Interannual variability of
Greenland winter precipitation sources: Lagrangian moisture diagnostic and
North Atlantic Oscillation influence, J. Geophys. Res., 113, D03107,
<a href="http://dx.doi.org/10.1029/2007JD008503" target="_blank">doi:10.1029/2007JD008503</a> 2008b.
</mixed-citation></ref-html>
<ref-html id="bib1.bib50"><label>Sonntag et al.(1983)</label><mixed-citation>
Sonntag, C., Münnich, K. O., Jacob, H., and Rozanski, K.: Variations of
deuterium and oxygen-18 in continental precipitation and groundwater, and
their causes, in: Variations in the Global Water Budget, edited by:
Street-Perrott, A., Beran, M., and Ratcliffe, R., Springer Netherlands,
107–124, <a href="http://dx.doi.org/10.1007/978-94-009-6954-4_7" target="_blank">doi:10.1007/978-94-009-6954-4_7</a>, 1983.
</mixed-citation></ref-html>
<ref-html id="bib1.bib51"><label>Sturm and Knohl(2010)</label><mixed-citation>
Sturm, P. and Knohl, A.: Water vapor <i>δ</i><sup>2</sup>H and <i>δ</i><sup>18</sup>O
measurements using off-axis integrated cavity output spectroscopy, Atmos.
Meas. Tech., 3, 67–77, <a href="http://dx.doi.org/10.5194/amt-3-67-2010" target="_blank">doi:10.5194/amt-3-67-2010</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib52"><label>Taylor(1972)</label><mixed-citation>
Taylor, C. B.: The vertical variations of isotopic concentrations of
tropospheric water vapour over continental Europe, and their relationship to
tropospheric structure, PhD thesis, Institute of Nuclear Sciences, Lower
Hutt, New Zealand, 1972.
</mixed-citation></ref-html>
<ref-html id="bib1.bib53"><label>Taylor(1984)</label><mixed-citation>
Taylor, C. B.: Vertical-distribution of deuterium in atmospheric water-vapor:
problems in application to assess atmospheric condensation models, Tellus B,
36, 67–70, 1984.
</mixed-citation></ref-html>
<ref-html id="bib1.bib54"><label>Tremoy et al.(2012)</label><mixed-citation>
Tremoy, G., Vimeux, F., Mayaki, S., Souley, I., Cattani, O., Risi, C.,
Favreau, G., and Oi, M.: A 1-year long <i>δ</i><sup>18</sup>O record of water vapor
in Niamey (Niger) reveals insightful atmospheric processes at different
timescales, Geophys. Res. Lett., 39, L08805, <a href="http://dx.doi.org/10.1029/2012GL051298" target="_blank">doi:10.1029/2012GL051298</a>,
2012.

</mixed-citation></ref-html>
<ref-html id="bib1.bib55"><label>Tsujimura et al.(2007)</label><mixed-citation>
Tsujimura, M., Sasaki, L., Yamanaka, T., Sugimoto, A., Li, S.-G., Matsushima,
D., Kotani, A., and Saandar, M.: Vertical distribution of stable isotopic
composition in atmospheric water vapor and subsurface water in grassland and
forest sites, eastern Mongolia, J. Hydrol., 333, 35–46, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib56"><label>Uemura et al.(2012)</label><mixed-citation>
Uemura, R., Masson-Delmotte, V., Jouzel, J., Landais, A., Motoyama, H., and
Stenni, B.: Ranges of moisture-source temperature estimated from Antarctic
ice cores stable isotope records over glacial–interglacial cycles, Clim.
Past, 8, 1109–1125, <a href="http://dx.doi.org/10.5194/cp-8-1109-2012" target="_blank">doi:10.5194/cp-8-1109-2012</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib57"><label>Webster and Heymsfield(2003)</label><mixed-citation>
Webster, C. R. and Heymsfield, A. J.: Water isotope ratios D/H,
<sup>18</sup>O/<sup>16</sup>O, <sup>17</sup>O/<sup>16</sup>O in and out of clouds map dehydration
pathways, Science, 302, 1742–1745, 2003.
</mixed-citation></ref-html>
<ref-html id="bib1.bib58"><label>Wernli and Davies(1997)</label><mixed-citation>
Wernli, H. and Davies, H. C.: A Lagrangian-based analysis of extratropical
cyclones. I: The method and some applications, Q. J. Roy. Meteor. Soc., 123,
467–489, 1997.
</mixed-citation></ref-html>
<ref-html id="bib1.bib59"><label>Wieser(2005)</label><mixed-citation>
Wieser, A.: Messung turbulenter Spurengasflüsse vom Flugzeug aus, PhD
thesis, University of Karlsruhe, Germany, Wissenschaftliche Berichte des
Instituts für Meteorologie und Klimaforschung, Nr. 34, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib60"><label>Worden et al.(2007)</label><mixed-citation>
Worden, J., Noone, D., Bowman, K., and the TES team: Importance of rain
evaporation and continental convection in the tropical water cycle, Nature,
445, 528–532, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib61"><label>Zahn et al.(1998)</label><mixed-citation>
Zahn, A., Barth, V., Pfeilsticker, K., and Platt, U.: Deuterium, oxygen-18,
and tritium as tracers for water vapour transport in the lower stratosphere
and tropopause region, J. Atmos. Chem., 30, 25–47, 1998.
</mixed-citation></ref-html>--></article>
