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

    <article-meta>
      <article-id pub-id-type="doi">10.5194/acp-16-14909-2016</article-id><title-group><article-title>A top-down approach of surface carbonyl sulfide exchange by a Mediterranean
oak forest ecosystem in southern France</article-title>
      </title-group><?xmltex \runningtitle{A top-down approach of surface carbonyl sulfide exchange}?><?xmltex \runningauthor{S. Belviso et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Belviso</surname><given-names>Sauveur</given-names></name>
          <email>sauveur.belviso@lsce.ipsl.fr</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2 aff3">
          <name><surname>Reiter</surname><given-names>Ilja Marco</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-3203-1103</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Loubet</surname><given-names>Benjamin</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Gros</surname><given-names>Valérie</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Lathière</surname><given-names>Juliette</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Montagne</surname><given-names>David</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Delmotte</surname><given-names>Marc</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Ramonet</surname><given-names>Michel</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Kalogridis</surname><given-names>Cerise</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-3754-520X</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Lebegue</surname><given-names>Benjamin</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Bonnaire</surname><given-names>Nicolas</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Kazan</surname><given-names>Victor</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Gauquelin</surname><given-names>Thierry</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Fernandez</surname><given-names>Catherine</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-6868-4774</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Genty</surname><given-names>Bernard</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay,<?xmltex \hack{\newline}?> 91191 Gif-sur-Yvette, France</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>CNRS, FR 3098 ECCOREV, Europôle de l'Arbois, 13545 Aix-en-Provence, France</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>CEA, CNRS, Aix-Marseille University, UMR 7265 Biologie Végétale et Microbiologie Environnementales,<?xmltex \hack{\newline}?> 13115 Saint Paul-lez-Durance, France</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>AgroParisTech, INRA, Université Paris-Saclay, UMR 1402 Ecosys, 78 850 Thiverval-Grignon, France</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>Aix Marseille Univ, Avignon Université, CNRS, IRD, IMBE Institut Méditerranéen de Biodiversité et<?xmltex \hack{\newline}?> d'Ecologie marine et continentale, Marseille, France</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Sauveur Belviso (sauveur.belviso@lsce.ipsl.fr)</corresp></author-notes><pub-date><day>2</day><month>December</month><year>2016</year></pub-date>
      
      <volume>16</volume>
      <issue>23</issue>
      <fpage>14909</fpage><lpage>14923</lpage>
      <history>
        <date date-type="received"><day>16</day><month>June</month><year>2016</year></date>
           <date date-type="rev-request"><day>5</day><month>July</month><year>2016</year></date>
           <date date-type="rev-recd"><day>26</day><month>October</month><year>2016</year></date>
           <date date-type="accepted"><day>13</day><month>November</month><year>2016</year></date>
      </history>
      <permissions>
<license license-type="open-access">
<license-p>This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/3.0/">http://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions><self-uri xlink:href="https://acp.copernicus.org/articles/16/14909/2016/acp-16-14909-2016.html">This article is available from https://acp.copernicus.org/articles/16/14909/2016/acp-16-14909-2016.html</self-uri>
<self-uri xlink:href="https://acp.copernicus.org/articles/16/14909/2016/acp-16-14909-2016.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/16/14909/2016/acp-16-14909-2016.pdf</self-uri>


      <abstract>
    <p>The role that soil, foliage, and atmospheric dynamics have on surface
carbonyl sulfide (OCS) exchange in a Mediterranean forest ecosystem in
southern France (the Oak Observatory at the Observatoire de Haute Provence,
O3HP) was investigated in June of 2012 and 2013 with essentially a top-down
approach. Atmospheric data suggest that the site is appropriate for
estimating gross primary production (GPP) directly from eddy covariance
measurements of OCS fluxes, but it is less adequate for scaling net ecosystem
exchange (NEE) to GPP from observations of vertical gradients of OCS relative
to CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> during the daytime. Firstly, OCS and carbon dioxide (CO<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>
diurnal variations and vertical gradients show no net exchange of OCS at
night when the carbon fluxes are dominated by ecosystem respiration. This
contrasts with other oak woodland ecosystems of a Mediterranean climate,
where nocturnal uptake of OCS by soil and/or vegetation has been observed.
Since temperature, water, and organic carbon content of soil at the O3HP
should favor the uptake of OCS, the lack of nocturnal net uptake would
indicate that its gross consumption in soil is compensated for by emission
processes that remain to be characterized. Secondly, the uptake of OCS during
the photosynthetic period was characterized in two different ways. We
measured ozone (O<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> deposition velocities and estimated the partitioning
of O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> deposition between stomatal and non-stomatal pathways before the
start of a joint survey of OCS and O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> surface concentrations. We
observed an increasing trend in the relative importance of the stomatal
pathway during the morning hours and synchronous steep drops of mixing ratios
of OCS (amplitude in the range of 60–100 ppt) and O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> (amplitude in the
range of 15–30 ppb) after sunrise and before the break up of the nocturnal
boundary layer. The uptake of OCS by plants was also characterized from
vertical profiles. However, the time window for calculation of the ecosystem
relative uptake (ERU) of OCS, which is a useful tool for partitioning
measured NEE, was limited in June 2012 to a few hours after midday. This was
due to the disruption of the vertical distribution of OCS by entrainment of
OCS rich tropospheric air in the morning and because the vertical gradient of
CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> reverses when it is still light. Moreover, polluted air masses (up
to 700 ppt of OCS) produced dramatic variation in atmospheric
OCS <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> ratios during the daytime in June 2013, further reducing
the time window for ERU calculation.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

      <?xmltex \hack{\newpage}?>
<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>Terrestrial ecosystems modulate the water balance over land and fix carbon
dioxide (CO<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> from the atmosphere in the form of carbon-rich materials.
Experimental and modeling studies have shown that changes in atmospheric
CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> concentration and changes in climate, induced by increasing
anthropogenic emissions of greenhouse gases, impact the fixation of
atmospheric CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> by plants (gross primary production, GPP) and the
release of CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> by terrestrial ecosystems (respiration,
Reco) as modulated by temperature
and water availability and the effects of fertilization (e.g., Arora and Boer,
2014). Large uncertainties in the determination in GPP and Reco fluxes at the
continental scale and in the magnitude of effects induced by climate and
fertilization remain. Furthermore, experimental and modeling studies should help
to better constrain those fluxes.</p>
      <p>In the late 1980s, vegetation was proposed to be the missing sink in the
global cycle of atmospheric carbonyl sulfide (OCS; Brown and Bell, 1986;
Goldan et al., 1988) and the first evidence from field observations of the
uptake of OCS near the ground was provided by Mihalopoulos et al. (1989).
Today, the mechanistic link between leaf CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and OCS exchange is well
understood (Stimler et al., 2010; Seibt et al., 2010; Wohlfahrt et al., 2012)
and the scientific community has reached consensus on the potential of
atmospheric OCS measurements to provide independent constraints on GPP at
canopy (Blonquist et al., 2011; Asaf et al., 2013), regional (Campbell et
al., 2008), and global (Montzka et al., 2007; Berry et al., 2013; Launois et
al., 2015) scales. However, recent studies also demonstrated limitations to
the use of OCS as a GPP proxy at canopy and ecosystem scales because
(1) consumption and/or production of OCS occur in soil and litter (Van Diest
and Kesselmeier, 2008; Sun et al., 2015; Ogée et al., 2016; Whelan et
al., 2016 and references therein), (2) in agricultural fields and midlatitude
forests OCS can also be taken up by plants at night (Maseyk et al., 2014;
White et al., 2010; Commane et al., 2015), and (3) the leaf relative uptake
of OCS and of CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (LRU), which is of central importance in the
calculation of GPP from eddy covariance measurements of OCS exchange
(<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>L</mml:mi><mml:mi mathvariant="normal">OCS</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> following Eq. (1), exhibit daily and seasonal variations
of variable amplitudes (Berkelhammer et al., 2014; Maseyk et al., 2014;
Commane et al., 2015).
          <disp-formula id="Ch1.E1" content-type="numbered"><mml:math display="block"><mml:mrow><mml:mi mathvariant="normal">GPP</mml:mi><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi>L</mml:mi><mml:mi mathvariant="normal">OCS</mml:mi></mml:msub></mml:mrow><mml:mi mathvariant="normal">LRU</mml:mi></mml:mfrac></mml:mstyle><mml:mo>×</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>[</mml:mo><mml:msub><mml:mrow class="chem"><mml:mi mathvariant="normal">CO</mml:mi></mml:mrow><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>]</mml:mo></mml:mrow><mml:mrow><mml:mo>[</mml:mo><mml:mi mathvariant="normal">OCS</mml:mi><mml:mo>]</mml:mo></mml:mrow></mml:mfrac></mml:mstyle></mml:mrow></mml:math></disp-formula>
        The character <inline-formula><mml:math display="inline"><mml:mi>L</mml:mi></mml:math></inline-formula> in <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>L</mml:mi><mml:mi mathvariant="normal">OCS</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> stands for leaf because OCS exchange
equals <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>L</mml:mi><mml:mi mathvariant="normal">OCS</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> when other ecosystem fluxes are negligible. To
address the diel LRU variations and the role of soil and litter for canopy
scale analysis, some research groups are now combining canopy flux, leaf, and
soil chamber measurements in the field (L. Kooijmans personal communication,
September 2016).</p>
      <p><?xmltex \hack{\newpage}?>Equation (1) can also be used for regional scale analysis (Campbell et al., 2008).
At this scale, LRU also varies as a function of plant type (i.e., C3 vs. C4
plants, Stimler et al., 2011). However, Hilton et al. (2015) demonstrated
that the effect of LRU variability was less significant at regional than at
canopy scale because the regional spatial uncertainty in GPP is much larger
than the LRU uncertainty.</p>
      <p>The use of leaf and soil chambers offers a means of investigating in
laboratory and field conditions the ability of plants and soils to degrade
ambient OCS (e.g., Stimler et al., 2010; Sun et al., 2015). Approaches that
avoid manipulation of biological material, such as the eddy flux, gradient,
or radon-tracer methods (e.g., Maseyk et al., 2014; Commane et al., 2015;
Belviso et al., 2013), can document over short and long time spans the
direction and the magnitude of surface OCS exchange at the ecosystem level.
At continental or global scales, biosphere–atmosphere fluxes can be assessed
from dynamic global vegetation models, and all flux components can be
optimized using satellite or global network data (e.g., Berry et al., 2013;
Launois et al., 2015; Kuai et al., 2015). The global network NOAA ESRL for
measurements of greenhouse gases in the atmosphere has been monitoring OCS mixing
ratios on a weekly basis since 2000 (Montzka et al., 2007). It is in
this framework that the major role of vegetation in the global budget of OCS
was again emphasized. A second network (AGAGE) exists where air samples are
analyzed every 60 min, but OCS data are not yet available for public
access. Other sites have recently been instrumented for long-term monitoring
of atmospheric OCS concentrations and/or fluxes. They include a mixed
temperate forest in North America (Harvard forest; Commane et al., 2015), a
boreal pine forest in southern Finland (Hyytiälä; A. Praplan, personal
communication, 2015), and a station located on the northern coast of the
Netherlands (Lutjewad; H. Chen, personal communication, 2014; Kooijmans et
al., 2016). Although rural and suburban areas have also been instrumented
for shorter periods (Berkelhammer et al., 2014; Belviso et al., 2013 and
references therein), many biomes remain unexplored. In summer 2012 and
2013, we used the facilities of the experimental field site Oak Observatory
at the Observatory of the Haute Provence (O3HP), Saint Michel
l'Observatoire, France, to study the biosphere–atmosphere exchanges of three
atmospheric compounds (OCS, CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, and ozone, O<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, which share
stomatal uptake as a common pathway. O3HP is a Mediterranean forest
ecosystem with low canopy height dominated by deciduous downy oak,
<italic>Quercus pubescens</italic>, and Montpellier Maple, <italic>Acer monspessulanum</italic>. Often occurring in the transition of climate zones from
Mediterranean to sub-Mediterranean, and thus potentially rather sensitive
and responsive to climate change, <italic>Q. pubescens</italic> is an interesting
model to monitor changes affecting the Mediterranean forest ecosystems.</p>
      <p>Our top-down approach, similar to the approach by Blonquist et al. (2011),
aims to determine the role of soil, foliage, atmospheric dynamics, and air
pollution in surface OCS exchange at the O3HP, finding consistencies and
differences with other oak woodland ecosystems characterized by a
Mediterranean climate, and assessing the desirability of using OCS to
partition O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> deposition between stomatal and non-stomatal pathways.
Since direct LRU and OCS flux measurements were not performed during the
campaigns, we used the ecosystem relative uptake (ERU) approach of Campbell
et al. (2008) to provide a rough estimation of LRU variations using the
following equation:
          <disp-formula id="Ch1.E2" content-type="numbered"><mml:math display="block"><mml:mrow><mml:mi mathvariant="normal">LRU</mml:mi><mml:mo>=</mml:mo><mml:mo>[</mml:mo><mml:mi mathvariant="normal">ERU</mml:mi><mml:mo>]</mml:mo><mml:mo>×</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mo>[</mml:mo><mml:mi mathvariant="normal">NEE</mml:mi><mml:mo>]</mml:mo></mml:mrow><mml:mrow><mml:mo>[</mml:mo><mml:mi mathvariant="normal">GPP</mml:mi><mml:mo>]</mml:mo></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
        where ERU is the relative gradient of OCS (m<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> divided by the relative
gradient of CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (m<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and NEE is the net ecosystem exchange of
CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> from eddy covariance measurements carried out at the site.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><caption><p>Soil physicochemical characteristics at O3HP.</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="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:colspec colnum="8" colname="col8" align="right"/>
     <oasis:colspec colnum="9" colname="col9" align="right"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1">Horizon</oasis:entry>  
         <oasis:entry colname="col2">Depth</oasis:entry>  
         <oasis:entry colname="col3">&lt; 2 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m</oasis:entry>  
         <oasis:entry colname="col4">2–50 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m</oasis:entry>  
         <oasis:entry colname="col5">50–2000 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m</oasis:entry>  
         <oasis:entry colname="col6">TOC<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7">N</oasis:entry>  
         <oasis:entry colname="col8">pH</oasis:entry>  
         <oasis:entry colname="col9">CaCO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">(cm)</oasis:entry>  
         <oasis:entry colname="col3">(g kg<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">(g kg<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5">(g kg<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6">(g kg<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7">(g kg<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col8"/>  
         <oasis:entry colname="col9">(g kg<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1"><italic>Leptosol</italic></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:entry colname="col8"/>  
         <oasis:entry colname="col9"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">A<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">0–5</oasis:entry>  
         <oasis:entry colname="col3">560</oasis:entry>  
         <oasis:entry colname="col4">340</oasis:entry>  
         <oasis:entry colname="col5">96</oasis:entry>  
         <oasis:entry colname="col6">167</oasis:entry>  
         <oasis:entry colname="col7">8.9</oasis:entry>  
         <oasis:entry colname="col8">7.1</oasis:entry>  
         <oasis:entry colname="col9">6</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">A<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">5–20</oasis:entry>  
         <oasis:entry colname="col3">536</oasis:entry>  
         <oasis:entry colname="col4">338</oasis:entry>  
         <oasis:entry colname="col5">118</oasis:entry>  
         <oasis:entry colname="col6">43.1</oasis:entry>  
         <oasis:entry colname="col7">2.7</oasis:entry>  
         <oasis:entry colname="col8">7.6</oasis:entry>  
         <oasis:entry colname="col9">10.7</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">A/C</oasis:entry>  
         <oasis:entry colname="col2">20–50</oasis:entry>  
         <oasis:entry colname="col3">515</oasis:entry>  
         <oasis:entry colname="col4">324</oasis:entry>  
         <oasis:entry colname="col5">133</oasis:entry>  
         <oasis:entry colname="col6">23.3</oasis:entry>  
         <oasis:entry colname="col7">1.7</oasis:entry>  
         <oasis:entry colname="col8">8.0</oasis:entry>  
         <oasis:entry colname="col9">27.2</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula> Total Organic Carbon.</p></table-wrap-foot></table-wrap>

</sec>
<sec id="Ch1.S2">
  <title>Material and methods</title>
<sec id="Ch1.S2.SS1">
  <title>Description of the site and of air circulation</title>
      <p>The two campaigns took place in June of 2012 and 2013. Both were of short
duration (i.e., about 2 weeks). A description of the O3HP site is
available in Kalogridis et al. (2014) and Santonja et al. (2015). In short,
the site (43.93<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 5.71<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) is located on the premises of Observatoire de
Haute Provence, about 60 km north of Marseille, France, at an elevation of
680 m above mean sea level. It is implemented in a forest area that has
remained untouched since at least 1945. The climate is sub-Mediterranean
with dry, warm-to-hot summers.</p>
      <p>The O3HP observatory is characterized by a highly heterogeneous karstic
limestone with soil pockets developing between compact and hard limestone
bedrock. The soils, which never exceed 1 m depth, range from shallow
calcaric Leptosol to deeper calcaric Cambisols (IUSS Working Group WRB,
2014). The litter overlying the A horizons (O horizons) is 1–7 cm strong.
The A horizons of 2–10 cm depth are clayey, calcareous, and show high
organic carbon content (Table 1). These horizons have a strong,
crumbly-to-fine subangular blocky structure likely due to high earthworm
burrowing activity and numerous fine roots. The humus is an “active
oligomull or dysmull type” (Brêthes et al., 1995). The A/C horizon
consists of thin layers of a clayey and fine blocky soil material between
limestone rocks of a decametric size. Roots are observed inside the thin soil
layers.</p>
      <p>Downy oak (<italic>Quercus pubescens</italic>) and Montpellier maple (<italic>Acer monspessulanum</italic> L.) represent 75 and 25 %, respectively, of the foliar
biomass of the dominant tree species (Kalogridis et al., 2014). The coppice,
typically constituted by multiple stems sprouting from the same rooting
system, is about 70 years old. Mean tree height is 5 m, and mean diameter at
breast height is 10 cm, ranging from 0.9 to 18.6 cm. European smoke bush
(<italic>Cotinus coggygria</italic> Scop.) and many thermophilic and xerophilic
herbaceous and grass species compose the understorey vegetation (Kalogridis
et al., 2014). A network of soil sensors beneath and above the canopy
continuously record environmental parameters, including global radiation, air
and soil temperature profiles, air and soil moisture, wind speed, and
rainfall, which are made accessible through the COOPERATE database
(<uri>http://cooperate.obs-hp.fr/db</uri>).</p>
      <p>Our understanding of the atmospheric dynamics over the O3HP sampling site
does not rely solely on meteorological parameters recorded at ground level by
basic weather stations. The transport and dispersion of air pollutants in the
southeastern part of France was extensively investigated during the
“Expérience sur Site pour Contraindre les Modèles de Pollution
atmosphérique et de Transport d'Emissions” (ESCOMPTE) experiment, which
took place in June–July 2001 (Cros et al., 2004; Kalthoff et al., 2005). As
shown by these authors for June 2001 and in Fig. S1 in the Supplement for
June of 2012, 2013, and 2015, the sea breeze is a general characteristic of
the atmospheric dynamics at the site in June. It flows from the W-SW in the
afternoon and carries with it the photosmog of the city of Marseille. During
the night and early morning hours the wind is oriented from other directions
with a strong N-NE component (Fig. S1). However, one fundamental aspect of
air circulation over the area is the existence of a nocturnal jet flowing at
800–1000 m of altitude, also with a strong N-NE component, observed in the
sodar (vertical wind profiler) measurements performed by Kalthoff et
al. (2005). This is of crucial importance for the interpretation of our
results.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <title>Air sampling and analytical methods</title>
<sec id="Ch1.S2.SS2.SSS1">
  <?xmltex \opttitle{Momentum, energy, and CO${}_{{2}}$ and isoprene fluxes}?><title>Momentum, energy, and CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and isoprene fluxes</title>
      <p>In June 2012, momentum, energy, and CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> fluxes were measured at the O3HP
site by the eddy covariance method using a Gill-R3-HS ultrasonic anemometer
placed above the forest on a 10 m mast and a close-path infrared CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
and H<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O gas analyzer (IRGA, Licor 7000) placed in a truck at about 35 m
from the base of the mast (Kalogridis et al., 2014). Air was drawn from an
inlet located <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 20 cm away from the anemometer, with a 45 m long
heated PFA Teflon tubing (1/2<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> OD, 3/8<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> ID, heated
<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C above ambient air temperature) at a flow rate of
<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 64 L min<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in order to maintain a turbulent flow. Air was then
subsampled in a tube (1/4<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> OD, 1/8<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> ID) to the close-path IRGA. Data
were sampled at 20 Hz. Essentially, the turbulent flux of CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> was
estimated as the covariance <inline-formula><mml:math display="inline"><mml:mover accent="true"><mml:mrow><mml:msup><mml:mi>w</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:msup><mml:mi>c</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow><mml:mo mathvariant="normal">‾</mml:mo></mml:mover></mml:math></inline-formula> of the vertical component of
the wind velocity (<inline-formula><mml:math display="inline"><mml:mi>w</mml:mi></mml:math></inline-formula>) and the dry mole fraction of CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (<inline-formula><mml:math display="inline"><mml:mi>c</mml:mi></mml:math></inline-formula>),
multiplied by the dry air molar volume. Here the primes denote a deviation
from the mean. The friction velocity <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi>u</mml:mi><mml:mo>∗</mml:mo></mml:msup><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:msqrt><mml:mover accent="true"><mml:mrow><mml:msup><mml:mi>w</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:msup><mml:mi>u</mml:mi><mml:mo>′</mml:mo></mml:msup></mml:mrow><mml:mo mathvariant="normal">‾</mml:mo></mml:mover></mml:msqrt></mml:mrow></mml:math></inline-formula>,
where <inline-formula><mml:math display="inline"><mml:mi>u</mml:mi></mml:math></inline-formula> is the along-wind air velocity component. High-frequency loss
corrections were estimated with the method of Ammann et al. (2006) and
averaged 10 % (median). The fluxes (NEE, GPP, and Reco) were calculated
using the eddy covariance method as explained in Aubinet et al. (2000) and
Loubet et al. (2011). In short, GPP and Reco were estimated with the method
described by Kowalski et al. (2004). Briefly, the net flux of CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (NEE)
was modeled as the sum of the ecosystem respiration (Reco) and the GPP (or
assimilation) was modeled as a hyperbolic function of the incoming solar
radiation (Rs).
              <disp-formula id="Ch1.E3" content-type="numbered"><mml:math display="block"><mml:mrow><mml:mi mathvariant="normal">NEE</mml:mi><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mi mathvariant="normal">Reco</mml:mi><mml:mo>+</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi>a</mml:mi><mml:mn mathvariant="normal">1</mml:mn><mml:mo>×</mml:mo><mml:mi mathvariant="normal">Rs</mml:mi></mml:mrow><mml:mrow><mml:mi>a</mml:mi><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo><mml:mi mathvariant="normal">Rs</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mi mathvariant="normal">Reco</mml:mi><mml:mo>+</mml:mo><mml:mi mathvariant="normal">GPP</mml:mi></mml:mrow></mml:math></disp-formula>
            By convention here Reco and GPP are positive, and NEE is counted positive
when carbon is fixed by the canopy. The parameters Reco, <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>a</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>, and <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>a</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula> were
estimated by minimizing the difference between the modeled and measured
CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> flux from 16 May to 17 June 2012 using the nonlinear solver in Excel
and the objective function ln (mean square error between model and
measurements). The comparison was only performed for well-established
turbulence (<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi>u</mml:mi><mml:mo>∗</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> &gt; 0.1 m s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> and
<inline-formula><mml:math display="inline"><mml:mrow><mml:mo>|</mml:mo><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mi>z</mml:mi><mml:mi>L</mml:mi></mml:mfrac></mml:mstyle><mml:mo>|</mml:mo></mml:mrow></mml:math></inline-formula> &lt; 0.2, where <inline-formula><mml:math display="inline"><mml:mi>L</mml:mi></mml:math></inline-formula> is the Obukhov length) during dry
periods without rain and during the daytime
(Rs &gt; 5 W m<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>. The GPP was then calculated as
<inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">GPP</mml:mi><mml:mo>=</mml:mo><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mi>a</mml:mi><mml:mn mathvariant="normal">1</mml:mn><mml:mo>×</mml:mo><mml:mi mathvariant="normal">Rs</mml:mi></mml:mrow><mml:mrow><mml:mi>a</mml:mi><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo><mml:mi mathvariant="normal">Rs</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mrow></mml:math></inline-formula> for all
conditions.</p>
      <p><italic>Q. pubescens</italic> is a high-isoprene emitter and studies at the O3HP
have shown that it is the main volatile organic compound (VOC) released by
this species at the branch (Genard-Zielinski et al., 2015) and canopy scale
(Kalogridis et al., 2014). Isoprene is synthesized within the leaf through
metabolic processes and its emission in the atmosphere is mainly controlled
by temperature and radiation (Laothawornkitkul et al., 2009 and references
therein). Although it does not share a common source and sink with OCS, it was
used here as additional information to understand biological processes
occurring at the O3HP forest.</p>
</sec>
<sec id="Ch1.S2.SS2.SSS2">
  <title>Carbonyl sulfide (OCS)</title>
      <p>At the O3HP site, in June 2012, air was drawn either from an inlet located
at 10 m height <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 20 cm away from the anemometer or from a
second inlet located at 2 m height on the same mast with 70–80 m long
Synflex tubing (3/8<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> OD) flushed permanently at a flow rate of
<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 6 L min<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. In June 2013, air was drawn solely from an
inlet located at 2 m height, with 20 m long Synflex tubing (3/8<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>′</mml:mo><mml:mo>′</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> OD). The
analytical instruments were run in laboratory-like conditions (air
conditioning at 25 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) in a small building away from the sampling
plot. How the air was analyzed for OCS was described extensively in Belviso
et al. (2013). However, the mass spectrometer detector was replaced in April
2012 by a pulsed flame photometric detector (PFPD). In general, air
measurements (500 mL STP of air trapped cryogenically at 100 mL min<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
flow rate with an ENTECH preconcentrator) were carried out on an hourly
basis. Peak integration was done using SRI's PeakSimple Chromatography
Data System. Calibration was performed as in Belviso et al. (2013), but the
primary standard, drawn with a gas-tight syringe, was injected in a line
flushed with OCS-free helium (He was passed through an empty stainless-steel
trap immersed in liquid nitrogen) connected to the preconcentrator inlet.
Although the calibration gas commercialized by Air Products has a tolerance
of 2.5 %, we found an agreement better than 0.2 % between the
certificate of analysis (1.013 ppm of OCS in helium) and our own
measurements of that standard (1.014 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.011 ppm, <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">6</mml:mn></mml:mrow></mml:math></inline-formula>)
using a second calibration gas provided by U. Seibt and K. Maseyk, who
purchased it from Air Liquide (0.517 ppm in nitrogen). Since the PFPD
response is quadratic, the calibration equation is obtained by plotting the
natural logarithm of the peak area against the natural logarithm of OCS
(picolitre or pL). Mixing ratios are calculated by dividing pL of OCS by
volumes of air dried at <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>25 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, corrected to room temperature and
pressure. Semicontinuous measurement repeatability is 1 % (1 SD, <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>38</mml:mn></mml:mrow></mml:math></inline-formula> consecutive hourly analyses of atmospheric air from a compressed cylinder
(target gas) containing 573 ppt of OCS). Accuracy and long-term
repeatability (LTR) were better than 2.5 % as evaluated from periodic
analyses of an atmospheric air standard prepared and calibrated by NOAA ESRL
containing 448.6 ppt of OCS.</p>
      <p>In June 2013, air was analyzed continuously for OCS using a commercially
available OCS, CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, H<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O, and CO off-axis integrated cavity output
spectroscopy analyzer (Los Gatos Research, Enhanced Performance Model,
California, USA). In early 2013 at the O3HP, the instrument was tested for
the first time in the field. We calibrated the instrument with OCS measured
by the GC (over a range of atmospheric concentrations of 439 to 699 ppt
inherent to the period of interest for this study). OCS data collected with
a one-half Hz frequency by the spectroscopy analyzer were subsequently
reduced to 5 min averages that corresponded to the sampling time of the
GC. The OCS signal varied by less than <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>2 ppt (standard error) in the
5 min time window. GC and LGR data showed a linear and strong positive
correlation (OCS<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mi mathvariant="normal">GC</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mn>1.14</mml:mn><mml:msub><mml:mi mathvariant="normal">OCS</mml:mi><mml:mi mathvariant="normal">LGR</mml:mi></mml:msub><mml:mo>+</mml:mo><mml:mn>12.3</mml:mn></mml:mrow></mml:math></inline-formula> ppt, <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi>R</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>=</mml:mo><mml:mn>0.95</mml:mn></mml:mrow></mml:math></inline-formula>,
<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>128</mml:mn></mml:mrow></mml:math></inline-formula>). Absolute readings were regularly cross-checked with a NOAA ESRL
standard showing good stability throughout the campaign. OCS<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mi mathvariant="normal">LGR</mml:mi></mml:msub></mml:math></inline-formula> data
were essentially used to document OCS variations in between GC measurements,
and they were scaled to GC data using the relationship above.</p>
</sec>
<sec id="Ch1.S2.SS2.SSS3">
  <?xmltex \opttitle{Carbon dioxide (CO${}_{{2}})$}?><title>Carbon dioxide (CO<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></title>
      <p>At the O3HP site in June 2012, air was analyzed for CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> from two
sampling lines (10 and 2 m height), alternately (measurement interval
duration was 30 min and data collected during the first 10 min were
discarded) using a commercially available PICARRO cavity ring-down
spectroscopy (CRDS) analyzer (Model G2401) placed next to the OCS gas
chromatograph. In addition to CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, this instrument analyzes CH<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> and
CO mixing ratios and applies corrections for water vapor levels. Precision
and stability of the measurements performed with this instrument were
investigated using the rigorous testing procedures described by Yver Kwok et
al. (2015) and reported in Table 1 of that paper (see instrument G2401 with
serial number CFKADS2022 and ICOS ID 108). For CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, similar or better
results in terms of continuous measurement repeatability (CMR) and LTR were
obtained in the field as compared to the factory or the test laboratory
(i.e., 0.027 and 0.020 ppm), respectively (Yver Kwok et al., 2015). The CRDS
analyzer was calibrated in the test laboratory following ICOS standard
procedures, once before shipping and right after the 1-month deployment in
the field.</p>
      <p>In June 2013, air was analyzed continuously for CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> using the LGR
Enhanced Performance instrument (see above). CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> measurements were
not reported on a calibration scale.</p>
</sec>
<sec id="Ch1.S2.SS2.SSS4">
  <title>Carbon monoxide (CO)</title>
      <p>At the O3HP site in June 2012, air was analyzed for CO using the PICARRO CRDS
analyzer described above. Precision in terms of CMR and LTR measured in the
field was not as good as in the factory or the test laboratory (i.e., 6.8 and
2.2 ppb, respectively) (Yver Kwok et al., 2015). Data were calibrated as for
CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> measurements. In June 2013, air was analyzed continuously for CO
using the LGR instrument. CO measurements were not reported on a calibration
scale. CO was used as a semiquantitative tracer of combustion processes
(biomass or fossil fuel burning).</p><?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S2.SS2.SSS5">
  <?xmltex \opttitle{Ozone (O${}_{{3}})$, O${}_{{3}}$ deposition velocity ($V_{\mathrm{d}}$O${}_{{3}})$ and its
partitioning}?><title>Ozone (O<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> deposition velocity (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and its
partitioning</title>
      <p>Ozone was measured at O3HP in June 2012 with an instrument based on
ultraviolet absorption (model T-400 from API-Teledyne, San Diego, USA).
This instrument, calibrated with an internal ozone generator (IZS, API), is
operated with a flow rate of about 700 mL min<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> and delivers data every
minute. In June 2013, ozone concentrations measured at a few hundred meters
from the main O3HP site were downloaded from the regional air quality
network Air-Paca, France, (<uri>http://www.airpaca.org/</uri>). Ozone
deposition velocity (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> was measured at the O3HP in June 2012
with a fast O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> chemiluminescent analyzer (ATDD, NOAA, USA). The ratio
method described in Muller et al. (2010) was applied to evaluate
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>. Detailed description of the methodology is given in Stella
et al. (2011). The canopy conductance (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>g</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and non-stomatal
conductance for ozone (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>g</mml:mi><mml:mi mathvariant="normal">ns</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> were estimated following Lamaud et
al. (2009) as
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>g</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>/</mml:mo><mml:mo>(</mml:mo><mml:mn mathvariant="normal">1</mml:mn><mml:mo>-</mml:mo><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>/</mml:mo><mml:msub><mml:mi>V</mml:mi><mml:mo>max⁡</mml:mo></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>,
and <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>g</mml:mi><mml:mi mathvariant="normal">ns</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mi>g</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>-</mml:mo><mml:msub><mml:mi>g</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, where the
stomatal conductance for O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>g</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> is equal
to <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>g</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>H<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O <inline-formula><mml:math display="inline"><mml:mrow><mml:mo>×</mml:mo><mml:mn>0.653</mml:mn></mml:mrow></mml:math></inline-formula>, this factor being the ratio of molecular
diffusivities of O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> to H<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O. <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mo>max⁡</mml:mo></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> is the maximum
deposition velocity for ozone, which corresponds to a perfect sink of ozone
at the leaf level. This is the inverse of the sum of aerodynamic
(<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>R</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and canopy boundary layer resistances
(<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>R</mml:mi><mml:mi mathvariant="normal">bl</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> as <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mo>max⁡</mml:mo></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mo>(</mml:mo><mml:msub><mml:mi>R</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub><mml:mo>+</mml:mo><mml:msub><mml:mi>R</mml:mi><mml:mi mathvariant="normal">bl</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, those being estimated as in Lamaud et al. (2009), taken from Bassin et al. (2004).</p>
</sec>
<sec id="Ch1.S2.SS2.SSS6">
  <title>Stomatal conductance</title>
      <p>Canopy stomatal conductance for water vapor (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>g</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>H<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O) was estimated
in 2012 from the latent (LE) and sensible (H) heat flux from the Penman–Monteith method for relative humidity <inline-formula><mml:math display="inline"><mml:mo>≤</mml:mo></mml:math></inline-formula> 70 %. Under
wet conditions the stomatal conductance was estimated following Lamaud et al. (2009) based on the proportionality between the assimilation of CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and
the conductance.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><caption><p>Monthly variations <bold>(a)</bold> in air temperature and cumulated
precipitations and <bold>(b)</bold> in soil temperature and moisture (<inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>10 cm)
at an oak forest ecosystem in southern France (O3HP). <bold>(c, d)</bold> Same as
panel <bold>(b)</bold> but for June 2012 and June 2013. The yellow vertical bands
correspond to the sampling periods.</p></caption>
            <?xmltex \igopts{width=312.980315pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/14909/2016/acp-16-14909-2016-f01.png"/>

          </fig>

      <p>Leaf stomatal conductance was measured in June 2013 with a porometer (AP4,
Delta-T Devices, Burwell, UK). Due to the unilateral distribution of stomata
(hypostomatous leaf) only the abaxial sides of the leaf were measured using
the “slotted” configuration of the chamber. Five leaves were sampled per
tree and cycle. Light was measured holding the sensor horizontally above the
leaf.</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Results</title>
<sec id="Ch1.S3.SS1">
  <title>Meteorological conditions and soil climate</title>
      <p>The cumulated precipitations before the campaigns were about 400 and 500 mm since the beginning of the year (Fig. 1a). As few
precipitation events of small intensity took place during the campaigns, the
volumetric soil water content (measured at 5 cm depth) was in a decreasing
phase from about 0.3 m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> during the wet season to about 0.1 m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> during the dry season (Fig. 1b). Soil temperatures went the
opposite way (Fig. 1b) and were in the range of 14–19 and
14–17 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C during the 2012 and 2013 campaigns, respectively (Fig. 1c, d).</p>
</sec>
<sec id="Ch1.S3.SS2">
  <?xmltex \opttitle{Diel variations in the canopy (2\,m)}?><title>Diel variations in the canopy (2 m)</title>
      <p>In June of 2012, CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> presented a clear and reproducible diurnal cycle
with a maximum during the night (Fig. 2c). This maximum, an increase of
10–20 ppm, correlates to the decrease of global radiation (Fig. 2a). This
increase occurred between the period of maximum atmospheric turbulence
(<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi>u</mml:mi><mml:mo>∗</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> &gt; 0.4 m s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, Fig. 2b), a few hours after the
maximum solar radiation (Fig. 2a), and the nocturnal period when atmospheric
turbulence is reduced (<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi>u</mml:mi><mml:mo>∗</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> &lt; 0.2 m s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, Fig. 2b) and
strong temperature gradients above ground level form
(<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.5 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, Fig. 2a). The temperature gradient is
a proxy of low atmospheric mixing and boundary layer stability. During this
period, the variability in OCS was relatively low as compared to CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
(10 ppt at the most). The strongest temperature gradients above ground level
(<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1 <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, Fig. 2a) were observed after sunrise
(04:00 UTC), for about 2 h. The diel cycle in the atmospheric boundary
layer exhibited a much steeper decline in OCS after sunrise than at night
(Fig. 2c); the same holds for ozone (Fig. 2d). The amplitude of the early
morning drop of OCS was in the 60–100 ppt range. That of O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> was in the
range of 15–30 ppb. It is worth noting that the large nocturnal maximum of
CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> was followed by a secondary one in the early morning but of shorter
duration and smaller amplitude (10 ppm at the most, Fig. 2c). Hence,
important variations in CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> were observed during the period of lowest
OCS concentrations. In general, OCS and O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> diel variations were in phase
except in the late afternoon when we never observed a peak of OCS associated
with the peaks of O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and CO (Figs. 3a and 2d).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2"><caption><p>Time series of ambient mixing ratios of OCS, CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, CO, and
O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> at an oak forest ecosystem in southern France (O3HP, June 2012;
<bold>c, d</bold>) at 2 m above ground level, with incoming global radiation and
thermal stratification above ground level (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>T</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>H</mml:mi></mml:mrow></mml:math></inline-formula> in
<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>; <bold>a</bold>) and wind speed <bold>(b)</bold>. Periods of low
atmospheric turbulence were evaluated using friction velocities
(<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi>u</mml:mi><mml:mo>∗</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> &lt; 0.15 m s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, <bold>b</bold>).The timescale is UTC
time and the grey vertical bands correspond to nighttime.</p></caption>
          <?xmltex \igopts{width=170.716535pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/14909/2016/acp-16-14909-2016-f02.pdf"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><caption><p>Diel variations in OCS and O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios at O3HP in June
2012 <bold>(a)</bold> and June 2013 <bold>(b)</bold>. In June 2013, two OCS analyzers
were run in parallel and O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> was measured a few hundred meters from
the main O3HP site. The LGR analyzer was calibrated against the GC,
OCS<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mrow><mml:mi mathvariant="normal">LGRcal</mml:mi><mml:mo>.</mml:mo></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mn>1.14</mml:mn><mml:mo>×</mml:mo><mml:msub><mml:mi mathvariant="normal">OCS</mml:mi><mml:mi mathvariant="normal">LGRraw</mml:mi></mml:msub><mml:mo>+</mml:mo><mml:mn>12.3</mml:mn></mml:mrow></mml:math></inline-formula> ppt. O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> data were downloaded from the regional air quality
network Air-Paca, France (<uri>http://www.airpaca.org/</uri>).</p></caption>
          <?xmltex \igopts{width=170.716535pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/14909/2016/acp-16-14909-2016-f03.pdf"/>

        </fig>

      <p>Figure 4 compares the mean diel patterns in ambient OCS mixing ratios at 2 m
height in June 2012 and June 2013, constructed from data presented in Figs. 2c and 3b, respectively. Data show that the OCS concentrations were
more stable at night than during the day since a drop of
<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 50 ppt was observed in the early morning hours, down to
<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 450 ppt, followed by a rise up to <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 520 ppt in
June 2012 and <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 650 ppt in June 2013. These huge diurnal
variations, with amplitudes in the range of 150–250 ppt (Fig. 3b), were
confirmed by independent measurements carried out with the LGR
CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>–OCS–CO–H<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O analyzer, which was running in parallel (Fig. 3b).
The concomitant decrease of OCS and O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> in the early morning hours was
confirmed in the 2013 records (Fig. 3b). Furthermore, the air masses richest in
O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, which were transported over O3HP by strong winds in the late
afternoon, were not the richest in OCS throughout the campaign (Fig. 3b).
Our ground-based meteorological and ozone observations from June 2012
and June 2013 (650 MSL), presented in Figs. 2 and 3, are highly consistent with
data reported by Kalthoff et al. (2005).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><caption><p>Mean diel patterns in ambient OCS mixing ratios at the O3HP site in
June of 2012 and 2013 (displayed with dots and circles, respectively). The
timescale is UTC time and the grey vertical bands correspond to nighttime. Error bars represent one standard deviation of hourly mean OCS mixing
ratios recorded consecutively by the gas chromatograph for several days. Full
records are displayed in Figs. 2c and 3b, respectively.</p></caption>
          <?xmltex \igopts{width=156.490157pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/14909/2016/acp-16-14909-2016-f04.pdf"/>

        </fig>

<?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S3.SS3">
  <title>Vertical gradients</title>
      <p>Diel variations in near-surface OCS and CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> vertical gradients were
documented twice in June 2012 from data collected alternatingly at 2 and
10 m (Fig. 5). Both time series show no apparent OCS gradient at
night, whereas CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> data showed strong vertical gradients with CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
at 2 m being higher by approximately 5 ppm than at 10 m. During the day, the
CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> gradient reversed, with CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios that are lower at 2 m than
at 10 m and a back-reversal of the CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> gradient occurring in the late
afternoon at 17:00–18:00 UTC. During the day, OCS mixing ratios were
systematically lower at 2 m than at 10 m by a few ppt in the morning and up
to 10–20 ppt in the afternoon. Hence, CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and OCS were consistently
lower at 2 m than at 10 m during the day. At night however, CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
had a gradient in line with the respiratory production of CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, whereas
OCS showed no measurable gradient.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><caption><p>Time series plots showing diurnal variations in ambient OCS and
CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios (displayed in red and black, respectively) within and
above the canopy (2 and 10 m heights, circles and dots, respectively) at the
O3HP site during two measurement periods in June 2012 <bold>(a, b)</bold>. The
grey vertical band corresponds to nighttime. Error bars represent one
standard deviation of mean CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios recorded by the PICARRO
instrument, which alternated measurements between 2 and 10 m heights on a
half-hourly basis. OCS measurement repeatability is 1 %.</p></caption>
          <?xmltex \igopts{width=213.395669pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/14909/2016/acp-16-14909-2016-f05.pdf"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS4">
  <title>Diel variations of fluxes and deposition velocities</title>
      <p>It should be noted here that the CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and water fluxes are not strictly
linked at the ecosystem level because the non-foliar contribution is
different for CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (non-green plant biomass, and soil respiration) and
H<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O (evaporation from soil and tree surfaces). Furthermore, the
gas exchange between the substomatal cavity and the atmosphere has drivers
that impact biological and physical processes differently (e.g., the
temperature effect on photosynthesis and respiration for CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and
transpiration for water). However, it is known that soil water content will
impact litter decomposition processes and other microbial and
rooting activity that determine soil respiration. The presence of a
non-stomatal water flux is an indication of the wetness of upper soil
layers; hence, it is a proxy of increased respiration rate. Negative water
fluxes at dew point temperature indicate dew formation that may cause
non-stomatal fluxes due to the dissolution of gases. The latent heat and
CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> fluxes (GPP and NEE) followed a clear diurnal cycle well correlated
with global radiation, indicating that there was no significant water stress
that would tend to lower the flux in the afternoon (Fig. 6a, b). However,
the latent heat flux was significantly higher on 13 June than for later days
(Fig. 6a). Higher water fluxes were also measured on 11 and 12 June, which were
likely due to the evaporation of precipitation of low intensity (2 mm at
the most) that occurred on 10, 11, and 12 June as well as the water that was
deposited as dew the nights of 11 and 12 June, which was clearly shown by the
air temperature reaching the dew point temperature and the sensible heat
flux being highly negative at night (data not shown). The stomatal
conductance for water vapor also followed a clear diurnal cycle (Fig. S2).
Significant positive isoprene fluxes were only observed during the daytime,
following diel cycles with midday maxima ranging from 10 to 35 nmol m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (Fig. 6c redrawn from Kalogridis et al., 2014).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6"><caption><p>A 4-day time series of <bold>(a)</bold> global radiation (Rg), sensible
and latent heat (<inline-formula><mml:math display="inline"><mml:mi>H</mml:mi></mml:math></inline-formula> and LE), and of CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> hourly fluxes from eddy
covariance data measured at the O3HP site (<bold>b</bold>, June 2012). Reco, GPP,
and NEE fluxes stand for ecosystem respiration, gross primary production, and
net ecosystem exchange, respectively. We use the convention that negative
values of fluxes indicate carbon uptake by the forest ecosystem.
Panel <bold>(c)</bold> displays the isoprene fluxes measured concomitantly by the
disjunct eddy covariance technique (Kalogridis et al., 2014).</p></caption>
          <?xmltex \igopts{width=199.169291pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/14909/2016/acp-16-14909-2016-f06.pdf"/>

        </fig>

      <p>Unfortunately, the fast-O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> sensor that was used to assess the O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
deposition velocity had some sporadic down times that occurred frequently
during the 12 to 18 June sampling period. During that period, the analyzer
only performed well during one night. Good-quality data, however, were
recorded continuously from 29 May to 3 June and from 7 to 9 June (Fig. 7).
Stomatal conductance for O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>g</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> assessed with the
method of Lamaud et al. (2009) followed diel cycles with midday maxima
throughout the whole month of June 2012 in the range 6 to 8 mm s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
(data not shown but Fig. 7 provides an illustration of the typical diel
pattern of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>g</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> for late May and the first week of
June 2012. The shape of these diel cycles provides another indication that
the canopy was never under water stress and the <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>g</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> is
mostly light driven. The ozone deposition velocity (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>
exhibited diurnal variations with generally larger deposition before midday
(Fig. 7a). Since the stomatal conductance showed a much more symmetrical
feature during daytime (Fig. 7b), it indicates that non-stomatal ozone
deposition occurred preferentially during the morning. However, estimates of
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>g</mml:mi><mml:mi mathvariant="normal">ns</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> were less numerous in the afternoon than in the
morning because of inconsistencies between <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>g</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>g</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> values noticed during the afternoons of 29–31 May and
9 June, where <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>g</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> was higher than <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>g</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
(Fig. 7b). Nevertheless, in five cases out of six, a peak in
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>g</mml:mi><mml:mi mathvariant="normal">ns</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> was observed during the period between 29 May and
3 June. Data show a shift in the relative importance of both pathways since
from 7 June the ozone deposition in the morning in all cases was
predominantly through the stomatal pathway. Unfortunately, we have no
indication about ozone deposition pathways during the periods where OCS was
monitored in the atmosphere. However, the shift towards higher O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
deposition through the stomatal pathway during the second week of June
(Fig. 7b) and the strong similarities between OCS and O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> diurnal
patterns in June 2012 (Fig. 3a) suggest that the non-stomatal pathway lost
importance throughout the month of June.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7"><caption><p>Diel variations in <bold>(a)</bold> ozone deposition velocity
(<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mi mathvariant="normal">d</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, <bold>(b)</bold> canopy conductance
(<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>g</mml:mi><mml:mi mathvariant="normal">c</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, stomatal conductance (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>g</mml:mi><mml:mi mathvariant="normal">s</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, and
non-stomatal conductance (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>g</mml:mi><mml:mi mathvariant="normal">ns</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>O<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> from 29 May to 9 June in 2012. The partitioning was obtained with the Lamaud et al. (2009)
approach (see text for details).</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/14909/2016/acp-16-14909-2016-f07.pdf"/>

        </fig>

</sec>
</sec>
<sec id="Ch1.S4">
  <title>Discussion</title>
<sec id="Ch1.S4.SS1">
  <title>Role of atmospheric dynamics in OCS exchange</title>
      <p>OCS diel variations presented here (Fig. 3) resemble those reported by
Berkelhammer et al. (2014) at two sites in central North America where steep
rises in OCS also occurred after sunrise (see their Figs. 7b and
S11). The authors suggested that
this morning rise was related to boundary layer dynamics when air from above,
richer in OCS than the air from the nocturnal boundary layer, was entrained
downwards. This is also the case at O3HP as shown in the vertical profiles of
water vapor (Fig. S3). Entrainment of dry air from the nocturnal boundary
layer is evidenced by the decrease in water vapor concentrations about 2 h
after sunrise. This decrease is generally more important at 10 m than at
2 m. However, diurnal variations with amplitudes over 200 ppt as observed
at the O3HP in June 2013 were never reported before. This raises the question
of the origin of air masses rich in OCS advected over O3HP in mid-June 2013.
It is highly unlikely that long-range transport of biomass burning gases and
aerosols between North America and the Mediterranean region was responsible
for OCS contamination because the transport of biomass burning material
occurred in late June 2013 after the end of our OCS surveys (see Fig. 4 in
Ancellet et al., 2016). Since the O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>-rich air masses that reach the O3HP
in the late afternoon lag behind those rich in OCS by <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 4 h (Fig. 3b),
it is clear that the OCS and O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> peaks have distinct origins. Backward
trajectories at 300 m above ground level ending at 12:00 UTC (Stein et al.,
2015), when OCS levels at the O3HP in June 2013 were over 600 ppt (Fig. 3b),
show that the circulation of the air masses during the 2012 and 2013 periods
was at low altitude (below about 500 m a.g.l., i.e., below
1100 m a.s.l.); thus, they were generally in the boundary layer. The back
trajectories show that the air masses were in closer contact with the
continent in June 2013 than in June 2012 and that the transport in June 2013
was from the N–NW along the Rhône Valley (Fig. S4). South of the city of
Lyon, the Rhône Valley is highly industrialized, and it is therefore
likely that the O3HP site is impacted by anthropogenic direct or indirect
emissions of OCS (i.e., from the oxidation of CS<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> since the largest
production of CS<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> in western Europe is located in the Rhône Valley;
Campbell et al., 2015). Polluted air very likely propagates southwards in the
upper layers within the nocturnal jet, which was observed in the sodar
measurements performed nearby at Cadarache (Kalthoff et al., 2005), and is
entrained downwards in the morning when turbulence recovers. Moreover, we can
also demonstrate that the source of OCS pollution is persistently from the
same direction using data gathered in Fig. S5, which show the full June 2013
OCS record, starting from 8 June, and the corresponding back trajectories. It
is clear that there is no sign of pollution in OCS when air masses, advected
from the Mediterranean Sea, reach the OHP site at noon, 300 m a.g.l.
Finally, Fig. S6 demonstrates that advection of pollutants from the
combustion of fossil fuels (and from biomass burning, see above) is unlikely
in the OHP area except for on the night of 15 June when CO levels went up to
250 ppb. A CO pollution event was also recorded the next morning but data
show no impact on OCS levels. In the afternoon, polluted air from the
metropolitan area of Marseille is transported by the sea breeze thus leading
to an increase of ozone at elevated layers above the convective boundary
layer as demonstrated in the air circulation study of Kalthoff et al. (2005).
The highest ozone concentrations above 100 ppb can be found about 50 km
further downwind north and northeast of Marseille both in the mountainous
areas of Luberon and above (Kalthoff et al., 2005; see Fig. 6 of that paper).
We can therefore conclude that the photosmog of the city of Marseille is not
a source of OCS.</p>
</sec>
<sec id="Ch1.S4.SS2">
  <title>Ecosystem relative uptake (ERU)</title>
      <p>At the O3HP, OCS concentration gradients showing lower concentrations at 2 m
than at 10 m were observed during the daytime (Fig. 5), especially during
the afternoon so when turbulent mixing was strongest (Fig. 1b). Gradients
were nonexistent at night. This implies that the forest ecosystem was
essentially a net sink of OCS. Measured CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> vertical gradients indicate
that the forest ecosystem was a net sink of CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> during the daytime and a
net source at night, features that were confirmed by the eddy covariance data
showing NEE to range between <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>15 and
<inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>20 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula> mol m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> around midday and
0–5 <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula> mol m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> at night (Fig. 6). However, the
sharp rise in OCS concentrations between 06:00 and 12:00 UTC (Fig. 2) and
the reversal of the CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> gradients at 17:00–18:00 UTC (Fig. 5) reduce
the time window to a few hours in the afternoon where the ecosystem relative
uptake of OCS (ERU), which is the ratio of the relative vertical gradients of
OCS and CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, can be assessed. ERU is an important parameter since it is
proportional to GPP and NEE scaled by the ratio of relative leaf exchange
rates (LRU) following Eq. (2). Therefore, we anticipate that this approach to
partition measured NEE will hardly be applicable at O3HP, not only because
the amplitude of the diurnal variations in LRU is unknown at O3HP but also
because vertical gradients of OCS cannot be calculated from measurements
carried out throughout the whole period of illumination. In 2012, only data
collected in the afternoon were exploitable and the mean OCS <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
ratio at 2 m height was 1.33 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.02 ppt ppm<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>27</mml:mn></mml:mrow></mml:math></inline-formula>. In June
2013, polluted air masses produced dramatic variation in atmospheric
OCS <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> ratios in the morning and the afternoon, leaving no time
window for ERU calculation. These air masses were not related to urban
photosmog episodes since there was a gap of <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 4 h between the peaks of
OCS (up to 700 ppt) and O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> (up to 85 ppb). With these caveats in mind,
the ratio of the mean relative vertical gradients of OCS and CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
(calculated from linear OCS profiles) was equal to 4.7 and 4.3 for the
afternoons of 6 and 17 June, respectively. However, it had a large relative
error (<inline-formula><mml:math display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 50 %) and was consistent with ERUs reported by Blonquist
et al. (2011) at the Harvard Forest AmeriFlux site in summer–autumn 2006
(5.7 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.2 (1 SD) for short-term ERU values calculated from linear OCS
profiles as we did at the O3HP).</p>
      <p>Only when the plant uptake is the dominant flux, is the ERU proportional to
the ratio of GPP <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> NEE, with a proportionality constant that is the LRU
(Campbell et al., 2008). As discussed above, this is only the case at the
O3HP site for a few hours in the afternoon (because at other moments the
ecosystem is not the main driver but rather part of the boundary layer
dynamics) and that ERU could only be calculated using the OCS and CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
gradients for these few hours. When ERUs and the mean NEE <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> GPP ratio
calculated for the period 12:00–17:00 UTC (0.78 <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.05, <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn>20</mml:mn></mml:mrow></mml:math></inline-formula>) are
used in Eq. (2), LRUs at the O3HP are equal to 3.7 and 3.4. These values fall
in the upper range of LRUs obtained from leaf chamber studies over a large
range of light conditions and tree species (1–4, Stimler et al., 2010;
1.3–2.3, Berkelhammer et al., 2014).</p>
</sec>
<sec id="Ch1.S4.SS3">
  <title>Relative role of plants and soil in OCS exchange</title>
      <p>Our OCS measurements were carried out during the period of maximum gross
primary productivity of Mediterranean oak forests (Allard et al., 2008;
Maselli et al., 2014). At the O3HP, the maximum of <italic>Q. pubescens</italic> net
photosynthetic assimilation also occurs in June (Genard-Zielinski et al.,
2015). The O3HP site appears to be ideal for the use of OCS uptake by plants
as a tracer for GPP in a Mediterranean oak forest because the soil is neither
a source nor a sink of OCS when GPP fluxes culminate. The lack of net uptake
of OCS at night is a specific feature of the O3HP site that is not shared by
other open oak woodlands characterized by a Mediterranean climate (Kuhn et
al., 1999; Sun et al., 2015). The study of Kuhn et al. (1999) was performed
in June 1994 at the Hastings Natural History Reservation in Monterey County,
central coastal California (490 m a.s.l.), which is located in a side
valley of the Carmel Valley, approximately 40 km from the coast. These
authors reported a nocturnal drop in the OCS ambient mixing ratio by about
150 ppt corresponding to a nocturnal OCS deposition rate of up to
<inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>7.6 pmol m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, which was estimated by a nocturnal boundary
layer depletion model. The range of fluxes reported by Kuhn et al. (1999) is
consistent with those measured using soil chambers at Stunt Ranch in southern
California in April 2013 (0.1 to <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>6.5 pmol m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>; Sun et
al., 2015). OCS fluxes at Stunt Ranch exhibited clear diurnal variations with
higher uptakes during the night than during the day (Sun et al., 2015).
Unfortunately, the signature of these fluxes in the nocturnal boundary layer
in terms of nocturnal drop in OCS mixing ratio was not reported in that
paper. To give an illustration of what might be the atmospheric signature
during stable nocturnal conditions of OCS uptake events of such intensity, we
extracted data from a set of observations where the role that soil, leaf, and
atmospheric dynamics have on surface OCS exchange is investigated from OCS
diurnal cycles (as at O3HP) and nocturnal fluxes calculated using the
radon-tracer method (Belviso et al., 2013). Figure S7 shows an 8-day time
series of ambient mixing ratios of OCS, CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, CO, and O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> carried out
in mid-April 2015 (after bud break and almost complete leaf expansion) in a
suburban area of the Saclay Plateau (Paris region) in relation to incoming
global radiation, thermal stratification, and wind speed (as at the O3HP).
Periods of low atmospheric turbulence over the Saclay Plateau were evaluated
using <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>222</mml:mn></mml:msup></mml:math></inline-formula>Rn accumulations. In April 2015, hourly variations show
nighttime and early morning decreases of OCS mixing ratios (Fig. S7c) and
corresponding <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn>222</mml:mn></mml:msup></mml:math></inline-formula>Rn increases (Fig. S7b). The amplitude of OCS diurnal
variations is in the 40–80 ppt range. OCS minima coincide with calm
meteorological conditions with wind velocities lower than 6 km h<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
(Fig. S7b), which are favorable to thermal stratification (Fig. S7a), with
CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> maxima sometime up to <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 480 ppm (Fig. S7c) and with O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
minima down to a few ppb (Fig. S7d). However, it is worth noting here that
the amplitude of CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> nocturnal variations over the Saclay
Plateau in early spring are higher than those at O3HP due to anthropogenic
emissions of CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, which can be traced using CO mixing ratios (Fig. S7d),
and to NO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> emissions, which accelerate the chemical removal of O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
(O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> reacts with NO, data not shown). OCS fluxes calculated using the
radon-tracer method during stable nocturnal conditions ranged from
<inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>4.8 pmol m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (night of 14 April) to
<inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>14.2 pmol m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (night of 11 April, Fig. S7c). They fall in
the upper range of fluxes reported by Kuhn et al. (1999) and Sun et
al. (2015), but the comparison should be made with caution because three
different methods were used to estimate the OCS fluxes (i.e., a boundary
layer model, soil chambers, and the radon-tracer method). Qualitatively, it
is clear that uptake rates of several pmol m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> lead to drops
in the OCS ambient mixing ratio by several tens of ppt during periods of low
atmospheric turbulence. Hence, a major difference between these woodlands and
the O3HP site during springtime is that soil of the Mediterranean forest
ecosystem of southern France is not a net sink of OCS. Soil OCS uptake has
been shown to be dependent on soil physical properties like soil structure,
water content, water-filled pore space, and temperature (Van Diest and
Kesselmeier, 2008; Ogée et al., 2016) but also on soil biological
properties like microbial activity (Kato et al., 2008; Ogawa et al., 2013),
active root density (Maseyk et al., 2014), or the presence of a litter layer
(Berkelhammer et al., 2014; Sun et al., 2015). Away from a range of optimum
uptake, which varies between soils, changes in soil water content and
temperature can markedly reduce OCS uptake by soils (Van Diest and
Kesselmeier, 2008). However, the soil temperature and water content at the
O3HP (Fig. 1c, d) are typically in the range of optimum uptake published by
Van Diest and Kesselmeier (2008). A limitation of OCS uptake by soils due to
a poor OCS diffusion is also unlikely considering that the soils from the
O3HP are strongly structured and are far from being water saturated. Finally,
the only physical property of soil differing among the three open oak
woodlands is the soil texture, with a fine clayey texture at the O3HP but a
coarse sandy loam texture at Hastings Reservation (Kuhn et al., 1999) and at
stunt Ranch (Sun et al., 2015). OCS uptake by fine-textured soils has already
been reported (Maseyk et al., 2014), this result pointed out the need for
measurements of OCS uptake for a greater diversity of soils. Concerning the
biological soil properties, the soil at the O3HP is covered by a relatively
thick litter layer that may induce a change from OCS uptake to OCS emission
(Berkelhammer et al., 2014). However, at Stunt Ranch Sun et al. (2015)
measured that the litter was responsible for OCS uptake. The surface horizons
at the O3HP showed organic carbon content ranging from 167 to
43 g kg<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in the surface soil horizons (Table 1) but only
24 g kg<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> at Hastings Reservation (no data on soil organic carbon are
available for Stunt Ranch). Being richer in organic carbon, soils at the O3HP
show very likely higher microbial activity, a factor that should stimulate
uptake of OCS by soils but apparently does not. If the capacity of soils to
consume OCS is more related to specific enzymatic activities (carbonic
anhydrase (CA) and OCS hydrolase) than to the general variables presented
above, our observations would highlight deficiencies in these enzymatic
activities in the calcium-carbonate-rich soils of O3HP. However, this
hypothesis is not consistent with the suggestion that CA performs an
essential role in microbial organisms surviving periods of osmotic stress
such as drought at the surface of Mediterranean soils (Wingate et al., 2008).
Finally, as roots and associated rhizosphere have been found to produce OCS,
a greater abundance of roots in the surface soils at O3HP by comparison with
the two other oak woodlands may explain why the soils at O3HP are not a sink
of OCS. In other words, the lack of nocturnal net uptake of OCS would
indicate that gross consumption of this gas in soil is compensated for by
emission processes that remain to be characterized. However, no data on root
abundance are available at Hastings Reservation or Stunt Ranch to confirm
such a hypothesis.</p>
</sec>
<sec id="Ch1.S4.SS4">
  <title>Potential use of OCS to partition ozone decay near the ground</title>
      <p>Data show strong similarities during the night and early morning hours
between OCS and O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> diel variations at the O3HP suggesting a similar sink
during that period (Fig. 3). At the O3HP, volatile organic compounds (VOCs)
produced by the vegetation are essentially in the form of isoprene
(Kalogridis et al., 2014; Genard-Zielinski et al., 2015). Isoprene is
oxidized in the atmosphere by the hydroxyl radical (OH), O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, and the
nitrate radical (NO<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, but in-canopy chemical oxidation of isoprene at
the O3HP was found to be weak and did not seem to have a significant impact
on isoprene concentrations and fluxes above the canopy (Kalogridis et al.,
2014). Hence, ozone deposition at the O3HP was essentially through leaf
uptake via stomata and surface deposition, without a strong contribution from
chemical reactions. In late May and early June 2012, the non-stomatal
contribution to the ozone flux was in general markedly higher than the
stomatal one in the morning hours (before 10:00 UTC), but it became much
less significant in the afternoon (Fig. 7b). Conversely, during the second
week of June, although there were still signs of non-stomatal loss of ozone
in the morning, the major contribution to ozone deposition was through the
stomatal pathway (Fig. 7b). The analogy with OCS at nighttime and in the
early morning suggests that soil did not contribute much to the O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> flux
and that the deposition flux of O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> in mid-June was essentially the
result of leaf uptake. However, it is difficult to evaluate the soil ozone
pathways without turbulence measurements inside the canopy. It would be worth
looking further into how OCS could be used to partition ozone fluxes near the
ground between soil and leaf deposition processes. The applicability of OCS
to characterize the strength of ozone sinks would be reduced in situations
where NO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> would significantly impact the chemical production or
destruction of ozone in the canopy or when background air is contaminated by
primary or secondary anthropogenic sources of OCS (Fig. 3b).</p>
</sec>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <title>Conclusions and perspectives</title>
      <p>Diel changes in the OCS mixing ratio and in its vertical distribution show that
net soil exchange of OCS is negligible compared to the uptake of the gas
through the stomata, a feature that is not shared by other oak woodland
ecosystems characterized by a Mediterranean climate. Hence, O3HP would be
the adequate place to support the installation
of a monitoring station of OCS uptake by plants from eddy covariance
measurements in the Mediterranean region. However, the assessment of GPP from measured OCS fluxes at the
ecosystem scale remains a tributary of our poor knowledge of LRU diel
variations at the O3HP, which requires further examination using new
experimental facilities (branch chambers or bags and/or coupled NEE–ERU
measurements). In the framework of the European infrastructure Integrated
Carbon Observation System (ICOS), an atmospheric measurement station (100 m
high tower) was set up at OHP in 2014 to determine multiyear
records of greenhouse gases. Future research on the ERU is encouraged by the
site being suitable to perform continuous and high-precision vertical
profiles of OCS using quantum cascade laser spectrometry. Unfortunately, our
preliminary surveys suggest that the site is less adequate for scaling NEE
to GPP from observations of vertical gradients of OCS relative to CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
during the daytime than for estimating GPP directly from eddy covariance
measurements; the time window for calculation of the ecosystem relative
uptake of OCS was found to be restricted to a few hours after
midday at the O3HP (1) because in the morning the vertical distribution of OCS is disrupted by
entrainment of OCS-rich tropospheric air sometimes
contaminated by anthropogenic emissions and (2) because the CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
vertical gradient reverses when it is still light.</p>
</sec>
<sec id="Ch1.S6">
  <title>Data availability</title>
      <p>The data have been deposited in the CNRS Archives as a zip file and can be
downloaded from:
<uri>https://mycore.core-cloud.net/public.php?service=files&amp;t=04c569376fa8ca82e5ebdf09cd18630d</uri>
(Belviso et al., 2016).</p>
</sec>

      
      </body>
    <back><app-group>
        <supplementary-material position="anchor"><p><bold>The Supplement related to this article is available online at <inline-supplementary-material xlink:href="http://dx.doi.org/10.5194/acp-16-14909-2016-supplement" xlink:title="pdf">doi:10.5194/acp-16-14909-2016-supplement</inline-supplementary-material>.</bold></p></supplementary-material>
        </app-group><ack><title>Acknowledgements</title><p>We are grateful for the support of the administrative and technical staff of
the “Observatoire de Haute-Provence” and the “Institut Mediterranéen
de Biodiversité et Ecologie terrestre et marine” and support from the
OHP infrastructure. We are also grateful to Eric Lamaud and Jean-Marc Bonnefond from INRA for lending the NOAA ozone analyzer and the Li7500
CO2/H2O IRGA. The authors express their thanks to the staff of the SIRTA
observatory, which provided access to meteorological data. The authors
gratefully acknowledge the NOAA Air Resources Laboratory (ARL) for the
provision of the HYSPLIT transport and dispersion model and/or READY website
(<uri>http://www.ready.noaa.gov</uri>) used in this publication. This work was
supported by the French National Agency for Research (ANR 2010 JCJC 603 01
CANOPÉE). We also thank the EU FP7 ECLAIRE project for funding. The purchase
of the LGR OCS, CO<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, H<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O, and CO analyzer used during the 2013
field campaign was co-funded by PACA region, GIS IBiSA, CEA, CNRS, and FR
3098 ECCOREV (IMAPLANT project to B.G.).<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: M. Kanakidou<?xmltex \hack{\newline}?>
Reviewed by: three anonymous referees</p></ack><ref-list>
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    <!--<article-title-html>A top-down approach of surface carbonyl sulfide exchange by a Mediterranean oak forest ecosystem in southern France</article-title-html>
<abstract-html><p class="p">The role that soil, foliage, and atmospheric dynamics have on surface
carbonyl sulfide (OCS) exchange in a Mediterranean forest ecosystem in
southern France (the Oak Observatory at the Observatoire de Haute Provence,
O3HP) was investigated in June of 2012 and 2013 with essentially a top-down
approach. Atmospheric data suggest that the site is appropriate for
estimating gross primary production (GPP) directly from eddy covariance
measurements of OCS fluxes, but it is less adequate for scaling net ecosystem
exchange (NEE) to GPP from observations of vertical gradients of OCS relative
to CO<sub>2</sub> during the daytime. Firstly, OCS and carbon dioxide (CO<sub>2</sub>)
diurnal variations and vertical gradients show no net exchange of OCS at
night when the carbon fluxes are dominated by ecosystem respiration. This
contrasts with other oak woodland ecosystems of a Mediterranean climate,
where nocturnal uptake of OCS by soil and/or vegetation has been observed.
Since temperature, water, and organic carbon content of soil at the O3HP
should favor the uptake of OCS, the lack of nocturnal net uptake would
indicate that its gross consumption in soil is compensated for by emission
processes that remain to be characterized. Secondly, the uptake of OCS during
the photosynthetic period was characterized in two different ways. We
measured ozone (O<sub>3</sub>) deposition velocities and estimated the partitioning
of O<sub>3</sub> deposition between stomatal and non-stomatal pathways before the
start of a joint survey of OCS and O<sub>3</sub> surface concentrations. We
observed an increasing trend in the relative importance of the stomatal
pathway during the morning hours and synchronous steep drops of mixing ratios
of OCS (amplitude in the range of 60–100 ppt) and O<sub>3</sub> (amplitude in the
range of 15–30 ppb) after sunrise and before the break up of the nocturnal
boundary layer. The uptake of OCS by plants was also characterized from
vertical profiles. However, the time window for calculation of the ecosystem
relative uptake (ERU) of OCS, which is a useful tool for partitioning
measured NEE, was limited in June 2012 to a few hours after midday. This was
due to the disruption of the vertical distribution of OCS by entrainment of
OCS rich tropospheric air in the morning and because the vertical gradient of
CO<sub>2</sub> reverses when it is still light. Moreover, polluted air masses (up
to 700 ppt of OCS) produced dramatic variation in atmospheric
OCS ∕ CO<sub>2</sub> ratios during the daytime in June 2013, further reducing
the time window for ERU calculation.</p></abstract-html>
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