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  <front>
    <journal-meta><journal-id journal-id-type="publisher">ACP</journal-id><journal-title-group>
    <journal-title>Atmospheric Chemistry and Physics</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ACP</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Atmos. Chem. Phys.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1680-7324</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/acp-18-16553-2018</article-id><title-group><article-title>Establishing long-term measurements of halocarbons at<?xmltex \hack{\break}?> Taunus Observatory</article-title><alt-title>Halocarbons at Taunus Observatory</alt-title>
      </title-group><?xmltex \runningtitle{Halocarbons at Taunus Observatory}?><?xmltex \runningauthor{T.~J.~Schuck et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Schuck</surname><given-names>Tanja J.</given-names></name>
          <email>schuck@iau.uni-frankfurt.de</email>
        <ext-link>https://orcid.org/0000-0002-1380-3684</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Lefrancois</surname><given-names>Fides</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-6278-3317</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Gallmann</surname><given-names>Franziska</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Wang</surname><given-names>Danrong</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Jesswein</surname><given-names>Markus</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Hoker</surname><given-names>Jesica</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Bönisch</surname><given-names>Harald</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-1004-0861</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Engel</surname><given-names>Andreas</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-0557-3935</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Germany</institution>
        </aff>
        <aff id="aff2"><label>a</label><institution>now at: Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Germany</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Tanja J. Schuck (schuck@iau.uni-frankfurt.de)</corresp></author-notes><pub-date><day>22</day><month>November</month><year>2018</year></pub-date>
      
      <volume>18</volume>
      <issue>22</issue>
      <fpage>16553</fpage><lpage>16569</lpage>
      <history>
        <date date-type="received"><day>29</day><month>August</month><year>2018</year></date>
           <date date-type="rev-request"><day>3</day><month>September</month><year>2018</year></date>
           <date date-type="rev-recd"><day>31</day><month>October</month><year>2018</year></date>
           <date date-type="accepted"><day>6</day><month>November</month><year>2018</year></date>
      </history>
      <permissions>
        
        
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://acp.copernicus.org/articles/18/16553/2018/acp-18-16553-2018.html">This article is available from https://acp.copernicus.org/articles/18/16553/2018/acp-18-16553-2018.html</self-uri><self-uri xlink:href="https://acp.copernicus.org/articles/18/16553/2018/acp-18-16553-2018.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/18/16553/2018/acp-18-16553-2018.pdf</self-uri>
      <abstract>
    <p id="d1e152">In late 2013, a whole air flask collection programme was started at Taunus
Observatory (TO) in central Germany. Being a rural site in close proximity to
the Rhine–Main area, Taunus Observatory allows assessment of emissions from a densely populated region. Owing
to its altitude of 825 m, the site also regularly experiences background
conditions, especially when air masses approach from north-westerly
directions. With a large footprint area mainly covering central Europe north
of the Alps, halocarbon measurements at the site have the potential to
improve the database for estimation of regional and total European
halogenated greenhouse gas emissions. Flask samples are collected weekly for
offline analysis using a GC/MS system simultaneously employing a quadrupole
as well as a time-of-flight mass spectrometer. As background reference,
additional samples are collected approximately once every 2 weeks at the Mace
Head Atmospheric Research Station (MHD) when air masses approach from the
site's clean air sector. Thus the time series at TO can be linked to the in
situ AGAGE measurements and the NOAA flask sampling programme at MHD.
An iterative baseline identification procedure separates polluted samples
from baseline data. While there is good agreement of baseline mixing ratios
between TO and MHD, with a larger variability of mixing ratios at the
continental site, measurements at TO are regularly influenced by elevated
halocarbon mixing ratios. Here, first time series are presented for CFC-11,
CFC-12, HCFC-22, HFC-134a, HFC-227ea, HFC-245fa, and dichloromethane. While
atmospheric mixing ratios of the chlorofluorocarbons (CFCs) decrease, they
increase for the hydrochlorofluorocarbons (HCFCs) and the hydrofluorocarbons
(HFCs). Small unexpected differences between CFC-11 and CFC-12 are found with
regard to frequency and relative enhancement of high mixing ratio events and
seasonality, although production and use of both compounds are strictly
regulated by the Montreal Protocol, and therefore a similar decrease in
atmospheric mixing ratios should occur. Dichloromethane, a solvent about
which recently concerns have been raised regarding its growing influence on
stratospheric ozone depletion, does not show a significant trend with regard
to both baseline mixing ratios and the occurrence of pollution events at
Taunus Observatory for the time period covered, indicating stable emissions
in the regions that influence the site. An analysis of trajectories from the
Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model
reveals differences in halocarbon mixing ranges depending on air mass origin.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p id="d1e162">Halogenated trace gases play an important role in atmospheric chemistry: they
contribute to the depletion of stratospheric ozone and directly or indirectly
to the radiative forcing of the atmosphere <xref ref-type="bibr" rid="bib1.bibx3 bib1.bibx12" id="paren.1"/>. Many of
them do not have natural sources, but are purely anthropogenic. Their use
includes various applications such as refrigeration, air conditioning, fire
extinguishers or foam blowing. As a consequence of the regulation of their
production and use in the Montreal Protocol and its amendments, mixing ratios
of anthropogenic halocarbons in the atmosphere exhibit strong trends. Mixing
ratios of<?pagebreak page16554?> chlorofluorocarbons (CFCs) and compounds such as long-lived
chlorinated solvents (e.g. <inline-formula><mml:math id="M1" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CCl</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) have started to decrease since the
1990s. While mixing ratios still decrease, recently an increase in CFC-11
emissions was observed within the US National Oceanic and Atmospheric
Administration (NOAA) network, pointing to new production of this
compound <xref ref-type="bibr" rid="bib1.bibx20" id="paren.2"/> and showing the need for continued monitoring.</p>
      <p id="d1e182">The Montreal Protocol also regulates production and use of
hydrochlorofluorocarbons (HCFCs), the first-generation replacement substances
of CFCs, but phase-out is not yet fully accomplished. Owing to their long
lifetimes many HCFCs still accumulate in the atmosphere or are just about to
level off. Use of long-lived compounds from the next generation replacements,
hydrofluorocarbons (HFCs), has only recently been included in the Montreal
Protocol, and atmospheric mixing ratios of halocarbons from this group are
currently still increasing <xref ref-type="bibr" rid="bib1.bibx32 bib1.bibx19" id="paren.3"/>. As further
replacement substances new short-lived unsaturated HFCs (also called HFOs,
hydrofluoroolefins) have already reached detectable mixing ratios in the
atmosphere <xref ref-type="bibr" rid="bib1.bibx37" id="paren.4"/>.</p>
      <p id="d1e191">Dichloromethane has a minor contribution from natural sources such as oceanic
emissions and biomass burning, but originates mainly from anthropogenic
sources. It is used as a solvent and as a chemical feedstock. At present,
short-lived chlorinated compounds such as dichloromethane provide a small
source of chlorine to the stratosphere, and thus they represent a minor
contribution to the stratospheric halogen
load <xref ref-type="bibr" rid="bib1.bibx15 bib1.bibx10 bib1.bibx24" id="paren.5"/>. It was recently suggested that
the importance of short-lived chlorinated compounds, among them
dichloromethane, as a chlorine source to the stratosphere increases as
emissions in particular from Asia could rise while other contributions such
as from CFCs and HCFCs are decreasing <xref ref-type="bibr" rid="bib1.bibx10 bib1.bibx24" id="paren.6"/>.
Globally, after a period of decreasing surface mixing ratios dichloromethane
levelled off around the year 2000 but started to increase again soon after.
In 2013, a steep increase in surface mixing ratios occurred, followed again
by several years of little change <xref ref-type="bibr" rid="bib1.bibx30 bib1.bibx10" id="paren.7"/>. Upper
tropospheric measurements over Southeast Asia revealed high spatial
variability pointing to high regional emissions and rapid vertical
transport <xref ref-type="bibr" rid="bib1.bibx24" id="paren.8"/>.</p>
      <p id="d1e206">For many atmospheric trace gases, including halogenated compounds, regular
ground-based measurements at fixed sites provide the main database to study
changes in atmospheric composition. Measurements often take place at remote
sites such as mountain tops or coastal locations, far from emission sources
and representative of a large catchment area. This reduces the influence of local or regional
emissions.
Sites at which regular
measurements of halogenated trace gases are currently performed in Europe are
Jungfraujoch (3580 m a.s.l., Switzerland), Monte Cimone (2165 m a.s.l.,
Italy), Zeppelin Observatory (490 m a.s.l, Norway), and Mace Head
(25 m a.s.l., Ireland), all part of or affiliated with the network of the
Advanced Global Atmospheric Gases Experiment (AGAGE) <xref ref-type="bibr" rid="bib1.bibx25" id="paren.9"/>. Of
these, Jungfraujoch is characterised by mainly free tropospheric air masses,
but the site also experiences events of transport from the boundary layer.
Also, Monte Cimone does regularly experience regional pollution events. A
comparison of 34 European observation sites classified Mace Head and
Jungfraujoch as remote sites and Monte Cimone as a site weakly influenced by
emissions <xref ref-type="bibr" rid="bib1.bibx8" id="paren.10"/>. Data from the high-latitude Zeppelin Observatory
do not seem to strongly constrain European emissions <xref ref-type="bibr" rid="bib1.bibx18" id="paren.11"/>.</p>
      <p id="d1e219">Several recent studies have combined station measurements of halocarbons and
atmospheric transport models to inversely estimate emissions on different
geographical scales <xref ref-type="bibr" rid="bib1.bibx13 bib1.bibx18 bib1.bibx23 bib1.bibx31 bib1.bibx2 bib1.bibx11" id="paren.12"><named-content content-type="pre">e.g.</named-content></xref>. This approach has
the potential to improve existing emission inventories and can also serve for
the verification of emissions reported to the United Nations Framework
Convention on Climate Change (UNFCCC) on the European level. Comparing four
different model approaches for estimates of national emissions,
<xref ref-type="bibr" rid="bib1.bibx2" id="text.13"/> found large differences of a factor of 2.4 between
reported emissions of HFC-125a and the model median, suggesting that
bottom–up estimates for emissions from Germany of this compound and also for
HFC-134a are too low. This result agrees with a previous study which
suggested significantly underestimated emissions from Germany also for
HFC-143a <xref ref-type="bibr" rid="bib1.bibx17" id="paren.14"/>. These studies show the need for additional
observations in Germany.</p>
      <p id="d1e233">Inversion-based emission estimates rely on high-quality observations of trace
gas mixing ratios. Thus, they are currently limited by the sparse
distribution of long-term observational sites. For long-lived gases, such as
CFCs and HCFCs, the present network of a small number of representative
background stations is sufficient to estimate emissions on the global or
hemispheric scale. However, with more shorter-lived species coming into
scientific focus and emission estimates aiming at the national or regional
scale, a denser network is required <xref ref-type="bibr" rid="bib1.bibx2 bib1.bibx35" id="paren.15"/>. In
Europe, the surface sensitivity of the current observational network, and
thus the ability of the observations to constrain the modelled emission
estimates, decreases over the northern parts of Germany, the Benelux region,
and eastern Europe <xref ref-type="bibr" rid="bib1.bibx2 bib1.bibx18" id="paren.16"/>. An observation site in
central Germany could improve this situation by enhancing the sensitivity to
emissions from Germany and potentially also from the Benelux region and
France, as westerly winds commonly occur (cf. Fig. <xref ref-type="fig" rid="Ch1.F1"/>).</p>
      <p id="d1e244">To assess regional emissions of halocarbons, in particular emissions from
Germany, a flask sampling programme was started at Taunus Observatory in
Germany in late 2013. Here we report on the first years of data for selected
halogenated compounds. The measurements include a large suite<?pagebreak page16555?> of more than 40
known target species of chlorine-, bromine- and iodine-containing gases
measured at preselected mass windows with a quadrupole mass spectrometer. In
addition, non-target information of the full mass range is available from a
time-of-flight mass spectrometer. More than 50 compounds have been identified
in the mass spectra from this instrument. A full list of substances which
were identified in the chromatograms and for which calibration data are
available is included in the Supplement.</p>
      <p id="d1e247">Here, we focus on chlorinated gases, among them chlorofluorocarbons and
hydrochlorofluorocarbons, of which exemplary CFC-11 (<inline-formula><mml:math id="M2" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CFCl</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>), CFC-12
(<inline-formula><mml:math id="M3" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CF</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">Cl</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula>) and HCFC-22 (<inline-formula><mml:math id="M4" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CHClF</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) are shown, being the
most abundant CFCs and the most abundant HCFC in the atmosphere. As examples
of long-lived hydrofluorocarbons HFC-134a (<inline-formula><mml:math id="M5" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CH</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">FCF</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>), the most
abundant compound of this group, and HFC-245fa (<inline-formula><mml:math id="M6" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CF</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">CHCF</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">H</mml:mi></mml:mrow></mml:math></inline-formula>) and
HFC-227ea (<inline-formula><mml:math id="M7" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CF</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">CHFCF</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) are discussed. Atmospheric mixing ratios
of these compounds are still growing. In addition, measurement results for
dichloromethane (<inline-formula><mml:math id="M8" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CH</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">Cl</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) are shown. Atmospheric lifetimes and
global warming potential of all discussed substances are listed in
Table <xref ref-type="table" rid="Ch1.T1"/>.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1"><caption><p id="d1e362">Atmospheric lifetimes of CFCs, HCFCs, HFCs <xref ref-type="bibr" rid="bib1.bibx33" id="paren.17"/>, and
dichloromethane <xref ref-type="bibr" rid="bib1.bibx10" id="paren.18"/> and global warming potentials
(GWP) <xref ref-type="bibr" rid="bib1.bibx12" id="paren.19"/> of the discussed species.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="4">
     <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:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">compound</oasis:entry>
         <oasis:entry colname="col2">total lifetime <inline-formula><mml:math id="M9" display="inline"><mml:mi mathvariant="italic">τ</mml:mi></mml:math></inline-formula> (a)</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M10" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">τ</mml:mi><mml:mrow class="chem"><mml:mi mathvariant="normal">OH</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> (a)</oasis:entry>
         <oasis:entry colname="col4">GWP</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">CFC-11</oasis:entry>
         <oasis:entry colname="col2">52</oasis:entry>
         <oasis:entry colname="col3">–</oasis:entry>
         <oasis:entry colname="col4">6900</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">CFC-12</oasis:entry>
         <oasis:entry colname="col2">102</oasis:entry>
         <oasis:entry colname="col3">–</oasis:entry>
         <oasis:entry colname="col4">10800</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">HCFC-22</oasis:entry>
         <oasis:entry colname="col2">12</oasis:entry>
         <oasis:entry colname="col3">10.8</oasis:entry>
         <oasis:entry colname="col4">218</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">HFC-134a</oasis:entry>
         <oasis:entry colname="col2">14</oasis:entry>
         <oasis:entry colname="col3">14.5</oasis:entry>
         <oasis:entry colname="col4">3710</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">HFC-227ea</oasis:entry>
         <oasis:entry colname="col2">36</oasis:entry>
         <oasis:entry colname="col3">45.3</oasis:entry>
         <oasis:entry colname="col4">5360</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">HFC-245fa</oasis:entry>
         <oasis:entry colname="col2">7.9</oasis:entry>
         <oasis:entry colname="col3">7.8</oasis:entry>
         <oasis:entry colname="col4">2920</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Dichloromethane</oasis:entry>
         <oasis:entry colname="col2">0.43</oasis:entry>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">33</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</sec>
<sec id="Ch1.S2">
  <title>Measurements</title>
<sec id="Ch1.S2.SS1">
  <title>Sample collection at Taunus Observatory</title>
      <p id="d1e543">Taunus Observatory is located at 50.22<inline-formula><mml:math id="M11" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 8.44<inline-formula><mml:math id="M12" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E at
825 m altitude on top of Kleiner Feldberg in the Taunus mountain range.
Northward, the area is dominated by forest, which needs to be taken into
account for biogenic substances, and agriculture. Approx. 20 km south-east
of the site is the city of Frankfurt (Main) in the centre of the Rhine–Main
area with several industrial sources including chemical industry. The site is
used for different scientific and non-scientific activities, including air
quality monitoring and measurements by the German Weather Service. Wind
direction is predominantly from the west. Figure <xref ref-type="fig" rid="Ch1.F1"/> shows the
surface sensitivity of the site derived from dispersion model calculations
(FLEXPART) for the year 2007. Measurements at Taunus Observatory are expected
to provide additional constraints on emission estimates for south-western
Germany, France, and the Benelux region, but occasionally also air masses
from north-westerly or easterly directions are encountered. During nighttime
inversion, the site is usually located above the top of the planetary
boundary layer. This may also be the case during daytime, in particular in
winter, when inversions can persist over several days. This could be a
challenge for models trying to capture the observed variability because of
the limitations of the spatial resolution of modelled transport.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><caption><p id="d1e568">Contour plot of the source sensitivity of Taunus Observatory derived
from particle dispersion calculation for the year 2007. Taunus Observatory is
located at 50.22<inline-formula><mml:math id="M13" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 8.44<inline-formula><mml:math id="M14" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E. Data courtesy of Dominik
Brunner.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/16553/2018/acp-18-16553-2018-f01.png"/>

        </fig>

      <p id="d1e595">Regular sample collection at Taunus Observatory started in October 2013 and
is ongoing. Data shown here cover the time period October 2013 through
April 2018. Samples are collected during daytime on a weekly basis, usually
on working days, at random times and irrespective of meteorological
parameters such as wind direction or wind speed. Sampling happens through
stainless steel tubing at an intake height of approx. 8 m above ground. For
quality assurance, two stainless steel canisters are pressurised in parallel
up to 2.5 bar after flushing with ambient air for 15 min using a metal
bellows pump (Metal Bellows 29992). Measurements usually take place no later
than 5 weeks after sample collection.</p>
      <p id="d1e598">To assess European background mixing ratios and also to link the time series
at Taunus Observatory to existing long-term international programmes, flask
sampling is also performed regularly at the Mace Head Research Station (MHD)
in Ireland. Here regular in situ measurements of the AGAGE programme and
sample collection for the NOAA network take place. Since March 2014
additional samples have been collected approximately every 2 weeks during
periods when air masses approach from the clean air sector (wind direction
180–300<inline-formula><mml:math id="M15" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>, wind speed <inline-formula><mml:math id="M16" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math id="M17" 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>). The data thus<?pagebreak page16556?> represent the
expected baseline for atmospheric mixing ratios at Taunus Observatory. To
facilitate comparison with data from the NOAA network, sample collection
usually takes place directly after sample collection for NOAA, using the same
equipment (KNF diaphragm pump). Samples are analysed after shipment to
Frankfurt after an average storage time of approximately 2 months. Mace Head
data shown here cover the time period March 2014 through February 2018.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <title>Instrumentation</title>
      <p id="d1e638">Measurements of halocarbons at Taunus Observatory are based on gas
chromatograph mass spectrometry (GC/MS) following cryogenic enrichment of
samples. Technical details of the employed setup are given in
<xref ref-type="bibr" rid="bib1.bibx9" id="text.20"/> and will only briefly be reviewed here. Halocarbon mixing
ratios in the atmosphere range from a few ppt up to a few hundred ppt (parts
per trillion). Therefore measurements require pre-concentration of the sample
air prior to gas chromatographic separation and detection. Pre-concentration
is achieved by passing the sample flow of 150 mL min<inline-formula><mml:math id="M18" 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> through an
adsorption material (HayeSep D) at <inline-formula><mml:math id="M19" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">80</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M20" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C. For cooling, the
<inline-formula><mml:math id="M21" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">16</mml:mn><mml:mi mathvariant="normal">"</mml:mi></mml:mrow></mml:math></inline-formula> stainless steel sample loop is placed inside an aluminium block which
is kept at <inline-formula><mml:math id="M22" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">80</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M23" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C by a Stirling cooler (Global Cooling, M150). The
enriched sample volume is determined by monitoring the pressure inside a <inline-formula><mml:math id="M24" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>×</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula> L reference volume which gets evacuated prior to sample
enrichment. After enrichment of 1 L of sample volume, the sample loop is
heated to approx. 200 <inline-formula><mml:math id="M25" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C for 4 min while the carrier gas flow is
directed through it (purified Helium 6.0, Purification System: Vici Valco
HP2). Prior to enrichment, the sample air is dried by passing a heated
(80 <inline-formula><mml:math id="M26" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) tube filled with magnesium perchlorate
<inline-formula><mml:math id="M27" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">Mg</mml:mi><mml:mo>(</mml:mo><mml:msub><mml:mi mathvariant="normal">ClO</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub><mml:msub><mml:mo>)</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>. Mixing ratios are therefore reported as dry mole
fractions.</p>
      <p id="d1e759">A gas chromatograph (Agilent 7890A) is used with a 7.5 m pre-column and a
22.5 m main column (both GasPro PLOT, inner diameter 0.32 mm). The
temperature programme of the GC starts at 50 <inline-formula><mml:math id="M28" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C kept for 2 min,
after which the oven is heated to 95 <inline-formula><mml:math id="M29" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C at a rate of
15 <inline-formula><mml:math id="M30" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C min<inline-formula><mml:math id="M31" 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>. Then it is heated to 135 <inline-formula><mml:math id="M32" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C at
10 <inline-formula><mml:math id="M33" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C min<inline-formula><mml:math id="M34" 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 finally to 200 <inline-formula><mml:math id="M35" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C at a rate of
22 <inline-formula><mml:math id="M36" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C min<inline-formula><mml:math id="M37" 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>. This temperature is kept for another 2.95 min.
The complete runtime adds up to 17.95 min. Backward flushing of the
pre-column is started after 12.6 min to avoid contamination of the
subsequent chromatographic run with high-boiling substances.</p>
      <p id="d1e862">Behind the main column the gas flow is split (ratio approx. <inline-formula><mml:math id="M38" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.6</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">0.4</mml:mn></mml:mrow></mml:math></inline-formula>
(<inline-formula><mml:math id="M39" display="inline"><mml:mrow><mml:mi mathvariant="normal">QP</mml:mi><mml:mo>:</mml:mo><mml:mi mathvariant="normal">TOF</mml:mi></mml:mrow></mml:math></inline-formula>)) into two fused silica transfer lines connected
to a quadrupole (QP) mass spectrometer (Agilent 5975C) and a time-of-flight
(TOF) mass spectrometer (Markes Bench TOF-dx E-24). The quadrupole MS is
operated in selected ion monitoring (SIM) mode, scanning pre-selected masses
at a given retention time. The time-of-flight MS scans the mass range from 45
to 500 amu. Ionisation for both instruments is via electron impact at
70 eV.</p>
      <p id="d1e889">Extending the setup described by <xref ref-type="bibr" rid="bib1.bibx9" id="text.21"/>, the system has been
automated for unattended operation of up to ten individual sample canisters
in one sequence. This has been achieved with pressure-operated on/off valves
(Vici Valco ASFVO2HT3) for stream selection (helium, sample, standard) and a
10-port multi-position valve (Vici Valco EMT2SD10MWE) for sample selection.
All valves are heated and kept at temperatures around 80 <inline-formula><mml:math id="M40" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C.</p>
      <p id="d1e905">Each air sample is analysed twice, each double measurement being bracketed by
a single measurement of a whole air standard which was cryogenically filled
in December 2007 at Jungfraujoch, Switzerland. Mixing ratios of this working
standard have been calibrated against an AGAGE gas standard. All data are
reported on Scripps Institution of Oceanography (SIO) scales as listed in
Table <xref ref-type="table" rid="Ch1.T2"/>. A full measurement series also includes a blank
measurement of the purified helium used as carrier gas, a vacuum blank and a
measurement of a target standard, the latter being used to assess long-term
stability of the setup (cf. Sect. <xref ref-type="sec" rid="Ch1.S2.SS3"/>).</p>
      <p id="d1e912">Chromatographic peaks are integrated with a custom designed software written
in the programming language IDL. The peak fitting algorithm applies Gaussian
fits with a constant or linear baseline. Noise calculation is performed on
baseline sections close to peak retention times by determining the threefold
standard deviation of the residuals between baseline data points and a second
order polynomial fit. Peaks with a signal-to-noise ratio below 1.5 are
rejected. The integrated detector signal is normalised to the exact enriched
sample volume, determined by a pressure measurement. To account for detector
drift during measurement series, the calibration measurements bracketing the
sample pairs are interpolated linearly. The relative response for each sample
is calculated as the ratio between sample and corresponding interpolated
calibration point.</p>
</sec>
<sec id="Ch1.S2.SS3">
  <title>Data quality and long-term stability of measurements</title>
      <?pagebreak page16557?><p id="d1e921">To ensure a high-quality dataset, automated procedures filter the data based
on instrumental precision. The precision was determined for each substance
and individually for the two mass spectrometers based on two sequences of 20
measurements of the Jungfraujoch working standard as described in
<xref ref-type="bibr" rid="bib1.bibx9" id="text.22"/>. After changes were made to the enrichment unit in 2016,
the reproducibility experiment was repeated with no significant difference
from the previous results. In a second assessment of reproducibility the
instrument precision was determined using another working standard
pressurised at Taunus Observatory in 2015. In this experiment, the working
standard was analysed 13 times in a measurement sequence following the same
procedure as regular air samples, and this was repeated on three different
days. Instrument precision was calculated as the standard deviation of these
measurements after application of the drift correction. Instrumental
precisions derived from the second working standard in this way agreed with
values from <xref ref-type="bibr" rid="bib1.bibx9" id="text.23"/>; thus, for consistency the latter are used in
the following. Table <xref ref-type="table" rid="Ch1.T2"/> lists precisions of the substances
presented here.</p>
      <p id="d1e932">Precision values (<inline-formula><mml:math id="M41" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mi mathvariant="italic">σ</mml:mi></mml:mrow></mml:math></inline-formula>) range for the quadrupole MS from 0.14 %
(CFC-11) to 9.2 % (HFC-245fa). For the time-of-flight MS relative
precisions range from 0.20 %(CFC-11) to 9.4 % (HCFC-225cb). For most
substances the quadrupole MS yields a slightly better precision, which may
partly be due to the split ratio of the gas flow. Therefore, and because data
from the time-of-flight MS do not cover the time after September 2017,
quadrupole data are shown if not mentioned otherwise.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><caption><p id="d1e948">System precision (prc, <inline-formula><mml:math id="M42" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mi mathvariant="italic">σ</mml:mi></mml:mrow></mml:math></inline-formula>) in % for selected substances for
detection with the quadrupole (QP) and the time-of-flight mass spectrometer
(TOF). The value of the system precision represents the best repeatability
for the system as deduced from dedicated measurements. Precision for a
particular measurement day can be different. Mixing ratios are reported as
dry mixing ratios on SIO scales as listed in the first column. Columns
labelled standard-1 and standard-2 contain long-term stability deduced from
measurements of two primary standards used as targets. Numbers in brackets
give the number of measurements available for the respective instrument.
Listed are standard deviations of all precision filtered data.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="8">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right" colsep="1"/>
     <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:thead>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry rowsep="1" namest="col3" nameend="col5" align="center">QP </oasis:entry>
         <oasis:entry rowsep="1" namest="col6" nameend="col8" align="center">TOF </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">compound</oasis:entry>
         <oasis:entry colname="col2">scale</oasis:entry>
         <oasis:entry colname="col3">prc</oasis:entry>
         <oasis:entry colname="col4">standard-1 (25)</oasis:entry>
         <oasis:entry colname="col5">standard-2 (56)</oasis:entry>
         <oasis:entry colname="col6">prc</oasis:entry>
         <oasis:entry colname="col7">standard-1 (22)</oasis:entry>
         <oasis:entry colname="col8">standard-2 (42)</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">CFC-11</oasis:entry>
         <oasis:entry colname="col2">SIO-05</oasis:entry>
         <oasis:entry colname="col3">0.14 %</oasis:entry>
         <oasis:entry colname="col4">0.37 %</oasis:entry>
         <oasis:entry colname="col5">0.26 %</oasis:entry>
         <oasis:entry colname="col6">0.20 %</oasis:entry>
         <oasis:entry colname="col7">0.28 %</oasis:entry>
         <oasis:entry colname="col8">0.61 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">CFC-12</oasis:entry>
         <oasis:entry colname="col2">SIO-05</oasis:entry>
         <oasis:entry colname="col3">0.32 %</oasis:entry>
         <oasis:entry colname="col4">0.37 %</oasis:entry>
         <oasis:entry colname="col5">0.32 %</oasis:entry>
         <oasis:entry colname="col6">0.29 %</oasis:entry>
         <oasis:entry colname="col7">0.53 %</oasis:entry>
         <oasis:entry colname="col8">0.48 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">HCFC-22</oasis:entry>
         <oasis:entry colname="col2">SIO-05</oasis:entry>
         <oasis:entry colname="col3">0.36 %</oasis:entry>
         <oasis:entry colname="col4">0.56 %</oasis:entry>
         <oasis:entry colname="col5">0.90 %</oasis:entry>
         <oasis:entry colname="col6">0.82 %</oasis:entry>
         <oasis:entry colname="col7">0.40 %</oasis:entry>
         <oasis:entry colname="col8">0.96 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">HFC-134a</oasis:entry>
         <oasis:entry colname="col2">SIO-05</oasis:entry>
         <oasis:entry colname="col3">0.47 %</oasis:entry>
         <oasis:entry colname="col4">1.7 %</oasis:entry>
         <oasis:entry colname="col5">0.51 %</oasis:entry>
         <oasis:entry colname="col6">0.41 %</oasis:entry>
         <oasis:entry colname="col7">0.78 %</oasis:entry>
         <oasis:entry colname="col8">1.4 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">HFC-227ea</oasis:entry>
         <oasis:entry colname="col2">SIO-14</oasis:entry>
         <oasis:entry colname="col3">0.22 %</oasis:entry>
         <oasis:entry colname="col4">–</oasis:entry>
         <oasis:entry colname="col5">12 %</oasis:entry>
         <oasis:entry colname="col6">7.1 %</oasis:entry>
         <oasis:entry colname="col7">–</oasis:entry>
         <oasis:entry colname="col8">6.9 %</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">HFC-245fa</oasis:entry>
         <oasis:entry colname="col2">SIO-14</oasis:entry>
         <oasis:entry colname="col3">9.2 %</oasis:entry>
         <oasis:entry colname="col4">–</oasis:entry>
         <oasis:entry colname="col5">4.2 %</oasis:entry>
         <oasis:entry colname="col6">1.6 %</oasis:entry>
         <oasis:entry colname="col7">–</oasis:entry>
         <oasis:entry colname="col8">6.7 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Dichloromethane</oasis:entry>
         <oasis:entry colname="col2">SIO-14</oasis:entry>
         <oasis:entry colname="col3">0.48 %</oasis:entry>
         <oasis:entry colname="col4">1.8    %</oasis:entry>
         <oasis:entry colname="col5">2.5  %</oasis:entry>
         <oasis:entry colname="col6">1.2 %</oasis:entry>
         <oasis:entry colname="col7">0.64 %</oasis:entry>
         <oasis:entry colname="col8">3.7 %</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e1227">Based on the instrumental precision, two types of filter routines are applied
after integration of the chromatograms and calculation of drift-corrected
relative responses.</p>
      <p id="d1e1231">(i) Precision criterion: for the two analyses performed for each sample
canister, the standard deviation of the two resulting values of the relative
response are calculated and compared with the instrumental precision for each
substance. If the standard deviation of the double analysis exceeds three
times the system precision, the sample analysis is rejected.</p>
      <p id="d1e1234">(ii) Overlap criterion: in addition to double analysis of each sample,
canisters are collected in pairs. For each pair, results are checked for
agreement within <inline-formula><mml:math id="M43" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="italic">σ</mml:mi></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M44" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> being the standard deviation of the
double analysis of each canister.</p>
      <p id="d1e1254">Only if both criteria are fulfilled are the data included in the final time
series. The mixing ratio is then calculated from the mean relative response
of the detector for the sample pair. If for a pair sufficient overlap was
diagnosed but only one canister meets the precision criterion, the
precision rejected sample is excluded and the mixing ratio is calculated
for the remaining canister only. Data which do not meet both the criterion of
3-fold precision and the <inline-formula><mml:math id="M45" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="italic">σ</mml:mi></mml:mrow></mml:math></inline-formula> overlap criterion for double samples are
excluded from further analysis.</p>
      <p id="d1e1267">For each sample measurement day, an average daily value of the system
precision is calculated from the standard deviation of the double analyses
that have met the precision limit. The relative error of each final mixing
ratio is reported as either the daily precision of the day when the canisters
were analysed or the instrumental precision derived from the dedicated
experiment, whichever is larger.</p>
      <p id="d1e1270">To monitor long-term stability of the GC/MS system, a primary standard is
measured as target at least once per month. This is usually done as part of a
regular sample measurement routine, measuring the target standard relative to
the working standard. Since the working standard has been calibrated versus
the two primary standards, this procedure checks for relative drifts of the
standards. The target standard is treated as an air sample in this procedure,
and data are filtered for data precision as described above for air samples.
Two different target standards were used for this, standard-1 being measured
regularly from October 2013 through October 2014, standard-2 since then.
Individual measurements of standard-1 were also performed in 2017. Fitting a
linear function to the obtained target time series, slopes agree with 0
confirming no relative drift of the primary and the working standards.
Table <xref ref-type="table" rid="Ch1.T2"/> lists the corresponding standard deviations for
both mass spectrometers and both standards.</p>
      <p id="d1e1275">While the system precisions in Table <xref ref-type="table" rid="Ch1.T2"/> reflect the
repeatability of measurements on short timescales (i.e. hours), these target
measurements assess long-term stability of the GC/MS system and the
calibration standard. Ideally, both standard deviations should be comparable,
but system precision represents a lower limit to the variability of standard
measurements on the timescales of years. Standard deviations of the target
measurements in Table <xref ref-type="table" rid="Ch1.T2"/> are comparable with system
precisions for most substances but deviate for the three HFCs and for
dichloromethane. In standard-2, mixing ratios of HFC-134a, HFC-245fa and
dichloromethane are markedly below current atmospheric mixing ratios and
below the mixing ratios of the working standard which was used for
calibration and to determine the system precisions given in
Table <xref ref-type="table" rid="Ch1.T2"/>. Thus, the signal-to-noise ratio of peaks gets
smaller, which can worsen repeatability (cf. e.g. Fig. 5 of
<xref ref-type="bibr" rid="bib1.bibx21" id="altparen.24"/>). This could explain the higher variability in
comparison to system precision. For standard-1 the number of high-precision
measurements of HFC-227ea and HFC-245fa was too small for statistical
analysis.</p>
      <p id="d1e1288">The filter procedures outlined before yield a high-quality dataset. The
filtering is only based on precision and data consistency but does not
interpret measured mixing ratios. In a further step this dataset is evaluated
to distinguish between background measurements, i.e. baseline data, and
outlier data points potentially influenced by regional emissions.</p>
      <p id="d1e1291">The  baseline data are identified by fitting the following function:
            <disp-formula id="Ch1.E1" content-type="numbered"><mml:math id="M46" display="block"><mml:mrow><mml:mi mathvariant="italic">χ</mml:mi><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo><mml:mo>=</mml:mo><mml:mi>a</mml:mi><mml:mo>+</mml:mo><mml:mi>b</mml:mi><mml:mo>⋅</mml:mo><mml:mi>t</mml:mi><mml:mo>+</mml:mo><mml:mi>c</mml:mi><mml:mo>⋅</mml:mo><mml:msup><mml:mi>t</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>+</mml:mo><mml:mi>d</mml:mi><mml:mo>⋅</mml:mo><mml:mi>sin⁡</mml:mi><mml:mo>(</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="italic">π</mml:mi><mml:mi>t</mml:mi><mml:mo>)</mml:mo><mml:mo>+</mml:mo><mml:mi>e</mml:mi><mml:mo>⋅</mml:mo><mml:mi>cos⁡</mml:mi><mml:mo>(</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="italic">π</mml:mi><mml:mi>t</mml:mi><mml:mo>)</mml:mo><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula></p>
      <p id="d1e1370">Data outside a <inline-formula><mml:math id="M47" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="italic">σ</mml:mi></mml:mrow></mml:math></inline-formula>-band around the residual mean are flagged as
outliers. The remaining data are fitted again and data points which fall
outside <inline-formula><mml:math id="M48" display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="italic">σ</mml:mi></mml:mrow></mml:math></inline-formula> of the new residual are again flagged as outliers. This is
iterated until the mean of the residual does not change by more than 10 %
in the subsequent iteration. If in one step the standard deviation of the
residual is smaller than the mean error of mixing ratios for a specific
substance, the latter is used instead. This procedure was adopted similar to
the AGAGE pollution identification algorithm (cf. <xref ref-type="bibr" rid="bib1.bibx22" id="altparen.25"/>, and
references therein). While it is expected that outliers are mostly caused by
pollution with mixing ratios above the baseline, outliers below the baseline
can for example be due to a stratospheric influence when the aged
stratospheric air contains lower mixing ratios or due to transport from lower
latitudes for substances which exhibit a latitudinal gradient.</p>
      <p id="d1e1396">Application of the data quality filters and the outlier filter yield a
quality assessed dataset separated into baseline data and outlier events. As
an example Fig. <xref ref-type="fig" rid="Ch1.F2"/> compares mixing ratios of CFC-12
and CFC-11 at Taunus Observatory and at<?pagebreak page16558?> Mace Head Station at the west coast
of Ireland. The Mace Head data serve as a reference for the data acquired at
Taunus Observatory. Mace Head data are also quality filtered as explained
above, including the outlier selection procedure. Because samples at Mace
Head are collected when air is approaching from the clean wind sector of the
site, the dataset is biased towards lower mixing ratios and the number of
outliers is very small.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><caption><p id="d1e1403">Time series of CFC-11 <bold>(a)</bold> and CFC-12 <bold>(b)</bold> at Taunus
Observatory (coloured symbols) and Mace Head (black symbols). The solid line
represents a second-order polynomial harmonic fit to the Taunus Observatory
baseline dataset, the dashed line the corresponding fit to the Mace Head
data. Open symbols denote samples flagged as outliers.</p></caption>
          <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/16553/2018/acp-18-16553-2018-f02.png"/>

        </fig>

<sec id="Ch1.S2.SS3.SSS1">
  <title>Comparison with results from the NOAA network</title>
      <p id="d1e1424">The Frankfurt GC-QP-MS system was characterised and used before for studies
by e.g. <xref ref-type="bibr" rid="bib1.bibx14 bib1.bibx1" id="text.26"/> and <xref ref-type="bibr" rid="bib1.bibx9" id="text.27"/>, and good
agreement with the NOAA and AGAGE networks was achieved in the IHALACE
international comparison (International Halocarbons in Air Comparison
Experiment) <xref ref-type="bibr" rid="bib1.bibx7" id="paren.28"/>. As mentioned before, sample collection at Mace
Head is synchronised with sample collection for the NOAA network. Of the
selected substances discussed here, NOAA GC/MS data are available from
<uri>ftp://ftp.cmdl.noaa.gov/hats/</uri> (last access: 7 August 2018) for CFC-11, CFC-12, HCFC-22, HFC-134a, HFC-227ea, and
dichloromethane. NOAA data are updates to data included
in <xref ref-type="bibr" rid="bib1.bibx19" id="text.29"/>, <xref ref-type="bibr" rid="bib1.bibx10" id="text.30"/>, and <xref ref-type="bibr" rid="bib1.bibx20" id="text.31"/>.
Results from the Frankfurt GC/MS system are reported on SIO scales and data
have not been corrected for scale differences. These are, for the substances
discussed here, less than 3 %, with the exception of
dichloromethane <xref ref-type="bibr" rid="bib1.bibx7 bib1.bibx3" id="paren.32"/>; therefore, this does not have a
major impact on the correlations which are shown in
Fig. <xref ref-type="fig" rid="Ch1.F3"/> for CFC-11, CFC-12, HCFC-22, HFC-134a, HFC-227ea,
and dichloromethane.</p>
      <p id="d1e1454"><?xmltex \hack{\newpage}?>Sampling for the NOAA network and for the dataset presented here is done
sequentially. Mechanical connection of the samples and canister flushing
amount to a time lag of typically 30–60 min. Although sampling is from the
clean air sector, both datasets still contain some outliers with elevated
mixing ratios. However, because sampling is not simultaneous but sequential,
outliers in one dataset that arise from atmospheric variability are in
general not apparent in the other.</p>
      <p id="d1e1458">Correlation coefficients <inline-formula><mml:math id="M49" display="inline"><mml:mrow><mml:msup><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> above 0.9 are obtained for all substances
discussed here, except for CFC-11 (<inline-formula><mml:math id="M50" 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 mathvariant="normal">0.81</mml:mn></mml:mrow></mml:math></inline-formula>) and CFC-12 (<inline-formula><mml:math id="M51" 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 mathvariant="normal">0.88</mml:mn></mml:mrow></mml:math></inline-formula>). A
special case is HFC-134a, for which good agreement with NOAA data is obtained
with the quadrupole instrument, but data from the time-of-flight mass
spectrometer deviate for mixing ratios above 90 ppt. A similar result is
obtained when correlating data from both instruments at Taunus Observatory,
pointing to a non-linearity of the time-of-flight mass spectrometer for
HFC-134a. This is apparent from Fig. <xref ref-type="fig" rid="Ch1.F4"/> showing mixing
ratios of HFC-134a from the TOF MS to deviate from the <inline-formula><mml:math id="M52" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> line. The
working standard used contains a HFC-134a mixing ratio of 53.25 ppt,
significantly below current atmospheric values. Non-linear behaviour of the
instrument was already determined for some substances by <xref ref-type="bibr" rid="bib1.bibx9" id="text.33"/>.
Because of this known issue, only quadrupole data are shown for HFC-134a.
Figure <xref ref-type="fig" rid="Ch1.F4"/> also shows the correlation of data from both
instruments for HFC-245fa, for which a correlation slope of 0.97 <inline-formula><mml:math id="M53" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.04
is obtained.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><caption><p id="d1e1531">Correlation of CFC-11, CFC-12, HCFC-22, HFC-134a, HFC-227ea, and
dichloromethane in Frankfurt flask samples (IAU) with canister samples of the
NOAA network analysed by GC/MS (data available at
<uri>ftp://ftp.cmdl.noaa.gov/hats/</uri>, last access: 7 August 2018) at Mace Head. Results from the Frankfurt GC/MS system are reported
on SIO scales resulting in a constant offset for some substances. Because of
the known non-linearity of the TOF instrument, for HFC-134a the correlation
parameters are derived for the QP mass spectrometer only.</p></caption>
            <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/16553/2018/acp-18-16553-2018-f03.png"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><caption><p id="d1e1546">Correlation at Taunus Observatory of HFC-134a and HFC-245 for the
mass spectrometers employed, a quadrupole (QP), and a time-of-flight (TOF)
mass spectrometer. The solid line represents an orthogonal fit to the data
points; the dotted line indicates the <inline-formula><mml:math id="M54" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> line. For HFC-134a a
non-linearity is observed for the TOF MS but not for HFC-245fa. Error bars of
HFC-134a mixing ratios are smaller than symbol size.</p></caption>
            <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/16553/2018/acp-18-16553-2018-f04.png"/>

          </fig>

</sec>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Results</title>
<sec id="Ch1.S3.SS1">
  <title>Trends and seasonality</title>
      <p id="d1e1580">Air sample collection at Mace Head is restricted to times when air masses
approach from the clean air sector and the data therefore represent a
baseline case for the time series of halogenated compounds. In contrast,
weekly air sample<?pagebreak page16559?> collection at Taunus Observatory is performed irrespective
of wind direction. Therefore mixing ratios at Taunus Observatory are supposed
to be higher than at the coastal site except for substances which are
strongly influenced by marine emissions, such as for example carbonyl sulfide
or iodomethane (not shown here). Because Taunus Observatory is located closer
to sources, not only higher absolute mixing ratios of most halocarbons are
expected to be measured, but also a higher atmospheric variability for
substances with ongoing emissions.</p>
<sec id="Ch1.S3.SS1.SSS1">
  <title>(Hydro)chlorofluorocarbons: CFC-11, CFC-12, and HCFC-22</title>
      <p id="d1e1588">The Montreal Protocol strictly regulates production and use of CFC-11 and
CFC-12. Due to their long total atmospheric lifetimes of 52 years (CFC-11)
and 102 years  (CFC-12) <xref ref-type="bibr" rid="bib1.bibx33" id="paren.34"/>, tropospheric mixing ratios
decrease slowly but continuously, which is evident at Taunus Observatory and
at Mace Head as shown in Fig. <xref ref-type="fig" rid="Ch1.F2"/>. Remarkable in the time series is
an
episode in the time series in September 2016 with exceptionally
low mixing ratios occurring at both Taunus Observatory and Mace Head, which
is apparent for CFC-11 and CFC-12 but is more pronounced for CFC-12. A CFC-12
mixing ratio of only 509.7 ppt was measured on 16 September 2016. Flasks
from the two sites for this period were analysed on different days, making a
measurement artefact unlikely.</p>
      <p id="d1e1596">Comparing the means of the detrended time series, baseline data from the two
sites for CFC-11 and CFC-12 agree within their respective standard deviation,
although mixing ratios at Taunus Observatory are on average higher by 1 ppt
(0.5 %) for CFC-11 but only 0.4 ppt (<inline-formula><mml:math id="M55" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula> %) higher for CFC-12.
Applying a linear fit function to the time series, baseline mixing ratios of
CFC-11 at Taunus Observatory decrease at a rate of
<inline-formula><mml:math id="M56" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1.2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula> ppt year<inline-formula><mml:math id="M57" 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 MHD with a rate of <inline-formula><mml:math id="M58" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1.0</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula> ppt year<inline-formula><mml:math id="M59" 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>.
This result agrees with the global decrease rate of
<inline-formula><mml:math id="M60" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1.0</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.2</mml:mn></mml:mrow></mml:math></inline-formula> ppt year<inline-formula><mml:math id="M61" 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> determined for the period 2015–2017 at NOAA
background measurement sites <xref ref-type="bibr" rid="bib1.bibx20" id="paren.35"/>.</p>
      <p id="d1e1691">In addition to the expected overall similar behaviour of CFC-11 and CFC-12,
also differences become apparent in the two gases' time series at Taunus
Observatory. For CFC-11, the outlier filter routine identifies four samples
in the time series at MHD as outliers, two below and two above the baseline
variability, the latter two occurring in winter 2017/2018. For CFC-12 no
outliers above the baseline occur at MHD. At Taunus Observatory, CFC-11 also
has a larger number of polluted outliers with exceptionally high mixing
ratios (18 %, 28 of 156 datapoints) than CFC-12 (4 %, 7 of 174
datapoints). Outliers in one of the two compounds are only in one case an
outlier in the other one. CFC-11 outliers above the baseline at Taunus
Observatory are more likely to correspond to outliers in HCFC-22 (11 pairs),
HFC-134a (19 pairs) or dichloromethane (16 pairs). This is similar to
observations of correlations between CFC-11 and HCFC-22 and dichloromethane
at Mauna Loa after 2012 by <xref ref-type="bibr" rid="bib1.bibx20" id="normal.36"/>.</p>
      <p id="d1e1697">Another difference between CFC-11 and CFC-12 becomes apparent in the slope of
the resulting function when applying Eq. (<xref ref-type="disp-formula" rid="Ch1.E1"/>) to the
baseline time series. For CFC-12, mixing ratios steadily decrease. In
mathematical terms, the first derivative of the fit curve is negative at all
times. This is not the case for CFC-11, for which the first derivative of the
fit function periodically becomes positive, indicating short periods of
increasing mixing ratios. This occurs during summer months when mixing ratios
slightly increase after a spring minimum, and this behaviour points to
ongoing emissions of CFC-11.</p>
      <p id="d1e1703">Production and use of both CFCs are regulated, and their emissions should
slowly approach zero. Their seasonality should therefore be driven mainly by
transport patterns, in particular the intrusion of aged air with lower mixing
ratios from the lower stratosphere <xref ref-type="bibr" rid="bib1.bibx27 bib1.bibx29" id="paren.37"/>. To
assess the seasonality of mixing ratios, baseline time series were detrended
relative to January 2013 by subtracting the linear and quadratic term of
Eq. (<xref ref-type="disp-formula" rid="Ch1.E1"/>). Figure <xref ref-type="fig" rid="Ch1.F5"/> shows the
resulting seasonal cycles for the two CFCs as<?pagebreak page16560?> differences to their respective
annual mean for Taunus Observatory and Mace Head.
Shown are monthly means and error bars indicate the error of the mean.</p>
      <p id="d1e1713">In Fig. <xref ref-type="fig" rid="Ch1.F5"/>, both CFCs show elevated mixing ratios in
winter with regard to the annual mean and reach minimum mixing ratios in
spring/summer. Commonly, such behaviour occurs for gases which are
predominantly removed from the atmosphere by reaction with OH or/and have
increased wintertime emissions, which in Europe is typically the case for
combustion products. CFC-11 and CFC-12 do not have an OH sink and their
emissions are not related to combustion processes. The seasonal cycle of CFCs
is driven by the seasonality of stratosphere–troposphere exchange, which in
the Northern Hemisphere maximises in late winter and
spring <xref ref-type="bibr" rid="bib1.bibx29" id="paren.38"/>, and potential seasonal variation in emissions. If
remaining emission sources were regionally co-located,<?pagebreak page16561?> seasonality of
large-scale transport patterns should affect CFC-11 and CFC-12 similarly. In
Fig. <xref ref-type="fig" rid="Ch1.F5"/>, the cycle of CFC-11 is shifted forward by about 2
months in comparison to that of CFC-12. Another difference between the two
compounds with regard to seasonality is that, as mentioned above, the fit
curve of CFC-11 has a positive curvature in summer pointing to a small
periodic increase in mixing ratios, whereas for CFC-12 curvature is negative
at all times, which means that mixing ratios continuously decrease. This
holds for Mace Head and Taunus Observatory.</p>
      <p id="d1e1723">These observational differences between CFC-11 and CFC-12 are in agreement
with higher estimates of ongoing European emissions for CFC-11 than for
CFC-12 <xref ref-type="bibr" rid="bib1.bibx13" id="paren.39"/>. Although this was derived for the year 2009, it is
likely that remaining emissions from banks still show this behaviour. In
particular, the high number of outliers is indicative of ongoing emissions of
CFC-11 in regions that influence trace gas mixing ratios at Taunus
Observatory. New significant sources of CFC-11 were only recently reported
for Asia by <xref ref-type="bibr" rid="bib1.bibx20" id="text.40"/>.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><caption><p id="d1e1734">Seasonality of CFC-11 <bold>(a)</bold> and CFC-12 <bold>(b)</bold> at Taunus
Observatory (coloured symbols, baseline data only) and Mace Head (black
symbols). Plotted are monthly mean values as difference to the mean of the
total detrended data.</p></caption>
            <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/16553/2018/acp-18-16553-2018-f05.png"/>

          </fig>

      <p id="d1e1749">As an example of the first-generation replacement substances,
Fig. <xref ref-type="fig" rid="Ch1.F6"/> shows time series and seasonal cycle of HCFC-22.
HCFC-22 is widely used as a cooling agent for refrigeration and air
conditioning as well as for foam blowing and for production of synthetic
polymers. Production and use of HCFC-22 have been regulated globally and are
projected to be almost completely phased out worldwide by 2030. EU regulation
has banned the use of fluorinated greenhouse gases with global warming
potentials higher than 150 even earlier, depending on the type of
application. Globally, HCFC-22 mixing ratios are still increasing, as evident
from ground-based measurements <xref ref-type="bibr" rid="bib1.bibx3" id="paren.41"/> and also from MIPAS satellite
data <xref ref-type="bibr" rid="bib1.bibx4" id="paren.42"/>. Already for the period 2005–2009 emissions had
been diagnosed to at best stagnate in some regions such as parts of North
America and Europe with no significant emissions changes, while still
increasing globally mainly due to rising emissions from Asia and
Africa <xref ref-type="bibr" rid="bib1.bibx28" id="paren.43"/>. <xref ref-type="bibr" rid="bib1.bibx6" id="text.44"/> found European emissions to
decrease for the period 2002–2012. In this Bayesian inversion study using
data from Monte Cimone and from Mace Head, European emissions were estimated
on the national level, with emissions occurring all over Europe but
predominantly in western Europe.</p>
      <p id="d1e1767">The main removing process of HCFC-22 from the atmosphere is via reaction with
OH with a lifetime of 10.8 years <xref ref-type="bibr" rid="bib1.bibx33" id="paren.45"/>. Thus, a seasonality of
atmospheric mixing ratios with a summer minimum and a winter maximum is
expected. However, for both observational sites, Taunus Observatory and Mace
Head, a semi-annual cycle adding higher harmonic terms to the fit equation
yields a better fit to the seasonal cycle derived from the detrended data as
shown in Fig. <xref ref-type="fig" rid="Ch1.F6"/>b (cf. Eq. <xref ref-type="disp-formula" rid="Ch1.E2"/>).

                  <disp-formula specific-use="align" content-type="numbered"><mml:math id="M62" display="block"><mml:mtable displaystyle="true"><mml:mtr><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:mi mathvariant="italic">χ</mml:mi><mml:mo>(</mml:mo><mml:mi>t</mml:mi><mml:mo>)</mml:mo><mml:mo>=</mml:mo></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:mi>a</mml:mi><mml:mo>+</mml:mo><mml:mi>b</mml:mi><mml:mo>⋅</mml:mo><mml:mi>t</mml:mi><mml:mo>+</mml:mo><mml:mi>c</mml:mi><mml:mo>⋅</mml:mo><mml:msup><mml:mi>t</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>+</mml:mo><mml:mi>d</mml:mi><mml:mo>⋅</mml:mo><mml:mi>sin⁡</mml:mi><mml:mo>(</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="italic">π</mml:mi><mml:mi>t</mml:mi><mml:mo>)</mml:mo><mml:mo>+</mml:mo><mml:mi>e</mml:mi><mml:mo>⋅</mml:mo><mml:mi>cos⁡</mml:mi><mml:mo>(</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="italic">π</mml:mi><mml:mi>t</mml:mi><mml:mo>)</mml:mo><mml:mo>+</mml:mo><mml:mi>f</mml:mi></mml:mrow></mml:mtd></mml:mtr><mml:mlabeledtr id="Ch1.E2"><mml:mtd/><mml:mtd><mml:mstyle displaystyle="true" class="stylechange"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:mo>⋅</mml:mo><mml:mi>sin⁡</mml:mi><mml:mo>(</mml:mo><mml:mn mathvariant="normal">4</mml:mn><mml:mi mathvariant="italic">π</mml:mi><mml:mi>t</mml:mi><mml:mo>)</mml:mo><mml:mo>+</mml:mo><mml:mi>g</mml:mi><mml:mo>⋅</mml:mo><mml:mi>cos⁡</mml:mi><mml:mo>(</mml:mo><mml:mn mathvariant="normal">4</mml:mn><mml:mi mathvariant="italic">π</mml:mi><mml:mi>t</mml:mi><mml:mo>)</mml:mo><mml:mo>.</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr></mml:mtable></mml:math></disp-formula></p>
      <p id="d1e1904">This has been taken into account for flagging individual samples as outliers.
Of 168 valid data points, 27 are identified as outliers above the baseline
which, keeping in mind the limited statistics, occur most frequently and with
highest enhancements during the summer months. The outlier frequency of the
still used compound HCFC-22 is thus comparable to that of CFC-11 which should
have been phased out globally and therefore should exhibit fewer outliers.
HCFC-22 enhancements of up to approx. 20 ppt were measured (average 5.9 ppt
(2.3 %)), CFC-11 enhancements even reached 22 ppt (average 3.9 ppt
(1.6 %)). 11 outliers occurred simultaneously in HCFC-22 and in CFC-11,
while only one outlier<?pagebreak page16562?> sample was found to be enhanced in CFC-11 and CFC-12
and only four in CFC-12 and HCFC-22.</p>
      <p id="d1e1907"><xref ref-type="bibr" rid="bib1.bibx6" id="text.46"/> derived average annual growth rates of 6.9 and
7.0 ppt year<inline-formula><mml:math id="M63" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> from high frequency measurements of HCFC-22 at Monte Cimone and
at Mace Head for the time period 2002–2012. Growth rates increased until
2008 and started to decline afterwards with values around 3 ppt year<inline-formula><mml:math id="M64" 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
2012. At Taunus Observatory, where measurements started in late 2013,
atmospheric mixing ratios steadily increase over the measurement period, with
the increase rate at Taunus Observatory slowing down from around
5 ppt year<inline-formula><mml:math id="M65" 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 2014 to around 3 ppt year<inline-formula><mml:math id="M66" 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 2017.</p>
      <p id="d1e1960">In a global inversion study using ground station data,
<xref ref-type="bibr" rid="bib1.bibx5" id="text.47"/> derived a seasonality of regional emissions of
HCFC-22 possibly arising from a seasonality in the use of air conditioning
and refrigeration devices. This was most pronounced in eastern Asia, the US,
and the Middle East.</p>
      <p id="d1e1966">In an inversion study based on data from NOAA and AGAGE station networks and
additionally constrained by data from airborne measurements from the
HIaper-Pole-to-Pole Observations (HIPPO) missions, <xref ref-type="bibr" rid="bib1.bibx38" id="text.48"/> could
reproduce the observed seasonalities in HCFC-22 mixing ratios only with a
seasonal adjustment to emissions with higher summertime emissions.
Observations at Taunus Observatory are consistent with the assumption of
seasonally varying emissions.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><caption><p id="d1e1975">Time series <bold>(a)</bold> and seasonality <bold>(b)</bold> of HCFC-22 at
Taunus Observatory (blue) and at Mace Head (black). Open symbols in the time
series indicate samples flagged as outliers. Seasonality is shown as the
difference of the monthly mean to the mean of the full detrended baseline
time series.</p></caption>
            <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/16553/2018/acp-18-16553-2018-f06.png"/>

          </fig>

</sec>
<sec id="Ch1.S3.SS1.SSS2">
  <title>Long-lived hydrofluorocarbons: HFC-134a, HFC-245fa, and HFC-227ea</title>
      <p id="d1e1996">As replacement for the ozone-depleting CFCs and HCFCs, hydrofluorocarbons are
now commonly used. Not containing chlorine or bromine atoms, they are not
ozone depleting substances. However, long-lived HFCs are strong greenhouse
gases contributing to global warming (cf. Table <xref ref-type="table" rid="Ch1.T1"/>). To
reduce the adverse contribution of HFCs to future global warming, regulation
of their use and production has been added to the Montreal Protocol in 2016
in the Kigali amendment. Several HFCs are measured regularly at AGAGE and
NOAA sites and also at Taunus Observatory.</p>
      <?pagebreak page16563?><p id="d1e2001"><?xmltex \hack{\newpage}?>Figure <xref ref-type="fig" rid="Ch1.F7"/>a shows the time series of HFC-245fa measured with
the QP mass spectrometer. The QP dataset is used because of better data
coverage, although the TOF instrument yields a better precision (cf.
Table <xref ref-type="table" rid="Ch1.T2"/>). For the time period covered by the QP as well as
the TOF mass spectrometer, the correlation of the two datasets yields a slope
of <inline-formula><mml:math id="M67" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.97</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.04</mml:mn></mml:mrow></mml:math></inline-formula> ppt ppt<inline-formula><mml:math id="M68" 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> (axis offset of <inline-formula><mml:math id="M69" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.14</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.14</mml:mn></mml:mrow></mml:math></inline-formula> ppt),
taking into account the precision of both instruments in an orthogonal
data-fitting routine (cf. Fig <xref ref-type="fig" rid="Ch1.F4"/>).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><caption><p id="d1e2050">Time series of HFC-245fa <bold>(a)</bold> and of HFC-227ea
<bold>(b)</bold> at Taunus Observatory (coloured symbols) and Mace Head (black
symbols). HFC-227ea measurements were performed with the time-of-flight mass
spectrometer (coloured diamonds); for comparison, data from the quadrupole
mass spectrometer (coloured triangles) are shown in addition. Solid lines
represent a second-order polynomial harmonic fit to the Taunus Observatory
baseline dataset. Open symbols denote samples flagged as outliers at Taunus
Observatory.</p></caption>
            <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/16553/2018/acp-18-16553-2018-f07.png"/>

          </fig>

      <p id="d1e2065"><xref ref-type="bibr" rid="bib1.bibx36" id="text.49"/> reported first measurements of HFC-245fa
(<inline-formula><mml:math id="M70" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CHF</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">CH</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">CF</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) in the atmosphere from Jungfraujoch (Switzerland) where
mixing ratios reached 0.68 ppt at the end of 2005. At Taunus Observatory,
baseline mixing ratios had climbed up to values above 4 ppt by the end of
2017. Mace Head data overall agree with the Taunus Observatory baseline.
Outliers at Taunus Observatory were few in 2014 but their number increases
through 2017. HFC-245fa exhibits a seasonal cycle with minimum mixing ratios
in summer, consistent with an OH sink, and a second, less pronounced minimum
in January, possibly related to transport of stratospheric air containing
lower amounts of HFC-245fa. Its total lifetime is estimated to 7.9 years,
dominated by loss through reaction with OH <xref ref-type="bibr" rid="bib1.bibx33" id="paren.50"/>. Although its
stratospheric lifetime is much longer, aged stratospheric air contains lower
HFC-245fa mixing ratios due to its tropospheric trend.</p>
      <p id="d1e2095">Emissions of HFC-227ea started in the early 1990s from a range of
applications, such as from fire extinguishers replacing bromine-containing
halons. <xref ref-type="bibr" rid="bib1.bibx16" id="text.51"/> first reported HFC-227ea (<inline-formula><mml:math id="M71" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CF</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">CHFCF</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>)
in atmospheric air samples and firn air samples. In 2009, atmospheric mixing
ratios were about 0.5–0.6 ppt, with higher values in the Northern
Hemisphere. Panel (b) of Fig. <xref ref-type="fig" rid="Ch1.F7"/> displays the time series
of HFC-227ea mixing ratios at Taunus Observatory and at Mace Head. HFC-227ea
was only added to the quadrupole measurements in 2016. For the time period
covered by both instruments, the two datasets agree with a linear correlation
coefficient of <inline-formula><mml:math id="M72" 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 mathvariant="normal">0.96</mml:mn></mml:mrow></mml:math></inline-formula>, and the orthogonal fitting procedure yields a
slope of <inline-formula><mml:math id="M73" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.06</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.04</mml:mn></mml:mrow></mml:math></inline-formula> ppt ppt<inline-formula><mml:math id="M74" 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> (axis offset of
<inline-formula><mml:math id="M75" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.13</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.06</mml:mn></mml:mrow></mml:math></inline-formula> ppt). This example highlights the potential of the TOF mass
spectrometer for retrospective analysis of non-target compounds.</p>
      <p id="d1e2173">In early 2014, background mixing ratios of HFC-227ea reached approx. 1 ppt
and atmospheric mixing ratios continue to increase at both sites, showing
almost no seasonality as expected from its long lifetime <inline-formula><mml:math id="M76" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">τ</mml:mi><mml:mrow class="chem"><mml:mi mathvariant="normal">OH</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">45.3</mml:mn></mml:mrow></mml:math></inline-formula> a <xref ref-type="bibr" rid="bib1.bibx33" id="paren.52"/>. With the exception of a few outliers in early
2014, baseline mixing ratios at Mace Head are below those at Taunus
Observatory, which also exhibits a larger scatter. Both aspects are expected
for a widely used compound. HFC-227ea sticks out with a large frequency of
outliers: up to one-third of samples contain mixing ratios significantly
above the baseline variability. Outliers were particularly frequent and
strong in 2014 and in 2017.</p>
      <p id="d1e2195">While global regulation of production and use of long-lived HFCs according to
the Kigali amendment to the Montreal Protocol does not foresee a reduction
prior to 2029, the states of the European Union have adopted the so-called
F-gas directive (Regulation (EU) No 517/2014 on fluorinated greenhouse gases)
aiming at a reduction of European emissions of fluorinated greenhouse gases
by regulating their use after 2015. It is unclear whether these measures
already cause the observed slow-down of HFC-245fa, but considering its
lifetime with respect to reaction with OH of 7.8 years, it is a compound
expected to respond to regulation rather quickly. HFC-227ea with
<inline-formula><mml:math id="M77" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">τ</mml:mi><mml:mrow class="chem"><mml:mi mathvariant="normal">OH</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">45.3</mml:mn></mml:mrow></mml:math></inline-formula> a does not show a significant slow-down of the
increase rate.</p>
      <p id="d1e2214">Additional European regulation was implemented in the mobile air conditioning
directive (Directive 2006/40/EC relating to emissions from air-conditioning
systems in motor vehicles). This directive restricts type approvals of
vehicles fitted with an air conditioning system operating with fluorinated
greenhouse gases with a global warming potential higher than 150 after 2011.
Figure <xref ref-type="fig" rid="Ch1.F8"/> shows data for HFC-134a, a widely used compound
affected by this. The short-lived compound HFC-1234yf, which is already used
as a replacement for HFC-134a, was successfully identified among the
non-target species measured by our time-of-flight mass spectrometer.</p>
      <?pagebreak page16564?><p id="d1e2219">Currently HFC-134a is the most prevalent HFC in the atmosphere, with baseline
mixing ratios at Taunus Observatory varying around 120 ppt in 2018 and a
lifetime of <inline-formula><mml:math id="M78" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">τ</mml:mi><mml:mrow class="chem"><mml:mi mathvariant="normal">OH</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">14.5</mml:mn></mml:mrow></mml:math></inline-formula> a. Mixing ratios at Taunus Observatory
are consistently approx. 10 ppt (<inline-formula><mml:math id="M79" display="inline"><mml:mrow><mml:mo>≈</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> %) above those at Mace Head
and exhibit a large variability and a large number of outliers above the
baseline. Baseline mixing ratios increase at a slightly accelerating rate of
around 6–7 ppt year<inline-formula><mml:math id="M80" 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>. Inversion-based top–down estimates of
emissions yielded increasing global emissions for the period 2004–2012 with
a large discrepancy from emissions reported to the UNFCCC <xref ref-type="bibr" rid="bib1.bibx26 bib1.bibx38" id="paren.53"/>.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8"><caption><p id="d1e2266">Time series <bold>(a)</bold> of HFC-134a at Taunus Observatory (blue)
and at Mace Head (black). Open symbols in the time series indicate samples
flagged as outliers. </p></caption>
            <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/16553/2018/acp-18-16553-2018-f08.png"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><caption><p id="d1e2280">Time series <bold>(a)</bold> and seasonality <bold>(b)</bold> of
dichloromethane at Taunus Observatory (blue) and at Mace Head (black). Open
symbols in the time series indicate samples flagged as outliers. Seasonality
is shown as the difference of the monthly mean to the mean of the full
detrended baseline time series.</p></caption>
            <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/16553/2018/acp-18-16553-2018-f09.png"/>

          </fig>

      <p id="d1e2295"><xref ref-type="bibr" rid="bib1.bibx38" id="text.54"/> found a similar result for HFC-134a as for HCFC-22, namely that
summertime emissions exceed emissions during winter. While this was reflected
in the seasonal cycle of HCFC-22 mixing ratios at Taunus Observatory,
HFC-134a baseline data at the site show only a weak seasonality due to the
large variability. Because of its use in mobile air conditioning, sources of
HFC-134a are ubiquitous in central Europe. Taunus Observatory therefore is
very close to emissions and the high variability in the dataset masks the
baseline. Mixing ratios at Mace Head are below those measured at Taunus
Observatory throughout the observation period and show a weak seasonality
similar to that of HCFC-22 (not shown). The subset of data identified by the
baseline detection algorithm therefore does not represent the European
background. Still, outliers can be statistically evaluated the same way as
for the other substances. The frequency of outliers above the baseline is
lowest during winter months (DJF) and has a maximum in summer (JJA).
Enhancement relative to the baseline also maximises during summer. This
behaviour is consistent with HFC-134a being predominantly used for air
conditioning and an enhanced leakage rate of air conditioning devices during
that time of the year.</p>
</sec>
<sec id="Ch1.S3.SS1.SSS3">
  <title>Dichloromethane</title>
      <p id="d1e2306">As an exemplary substance with strong seasonality, Fig. <xref ref-type="fig" rid="Ch1.F9"/>a
shows mixing ratios of dichloromethane. Data have been fitted using
Eq. (<xref ref-type="disp-formula" rid="Ch1.E1"/>), as including higher-order harmonics did not
improve the quality of the fit. Mace Head data represent a lower envelope to
the Taunus Observatory baseline time series, with the exception of one
outlier at Mace Head in September 2014. The seasonal cycle is mainly driven
by the reaction of dichloromethane with the OH radical with a lifetime of
approximately 5 months <xref ref-type="bibr" rid="bib1.bibx30 bib1.bibx10" id="paren.55"/>. At both observation
sites, seasonality shown in Fig. <xref ref-type="fig" rid="Ch1.F9"/>b exhibits an annual
minimum in September and maximum mixing ratios in early spring.</p>
      <p id="d1e2318">Outliers in the time series from Taunus Observatory occur mainly during
spring, but the highest enhancements in individual samples are observed in
summer and autumn, reaching values more than twice the respective baseline
averages. On average, enhancement of outliers at Taunus Observatory is
approx. 30 % above the baseline mixing ratio. Outliers with high mixing
ratios of dichloromethane were also outliers with regard to their CFC-11
mixing ratio in 16 cases; thus, in more than half of all observed CFC-11
outliers, also elevated mixing ratios of dichloromethane were also found.</p>
      <?pagebreak page16565?><p id="d1e2321">In the time series shown in Fig. <xref ref-type="fig" rid="Ch1.F9"/>, mixing ratios were
relatively stable at both sites over the period 2014–2016. From 2016 to 2017
an increase of approximately 3.5 ppt is registered at Mace Head; at Taunus
Observatory, the baseline mixing ratios (annual means) increased by 2 ppt
from 2016 to 2017, which is less than the annual variability of the baseline
data (ca. 8.0–8.5 ppt).</p>
</sec>
</sec>
<sec id="Ch1.S3.SS2">
  <title>Trajectory analysis for Taunus Observatory</title>
      <p id="d1e2333">For a first assessment of air mass origin, back trajectories were calculated
with the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT)
model over 5 days (120 h) for each individual sample collected at Taunus
Observatory using the <inline-formula><mml:math id="M81" display="inline"><mml:mrow><mml:msup><mml:mn mathvariant="normal">1</mml:mn><mml:mo>∘</mml:mo></mml:msup><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">1</mml:mn><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> GDAS meteorological
dataset <xref ref-type="bibr" rid="bib1.bibx34" id="paren.56"/>. The trajectories were attributed geometrically to
one of four sectors, depending on their angle of approach to the site, as
illustrated in Fig. <xref ref-type="fig" rid="Ch1.F10"/>, not taking into account altitude. A
specific trajectory is counted in one sector if more than 50 % of the
5-day period is spent in it. Trajectories crossing
several sectors with no sector containing more than 50 % of the trajectory
points remain undefined. Trajectories of this type occur most frequently in
winter (DJF). Trajectories from the west have their highest prevalence in
summer (JJA) when this wind direction clearly dominates with 57 % of
trajectories from that sector; in other seasons, this direction contributes
approx. 30 %. The number of trajectories from the easterly sector peaks
with a contribution of approx. 33 % in autumn (SON) at about the same
frequency as westerly air mass origin at that time of year. Winter and spring
are not dominated by a particular wind direction. In all seasons,
trajectories from the north-west approach Taunus Observatory least often.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10"><caption><p id="d1e2361">Sectoral classification of air mass trajectories. Black lines
indicate sector boundaries; trajectories are attributed to a sector if more
than 50 % of travel time is spent within.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/16553/2018/acp-18-16553-2018-f10.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F11"><caption><p id="d1e2372"><bold>(a)</bold> Distribution of samples with enhanced mixing ratios
across trajectory origin sectors. Except for CFC-12 outliers occur most
frequently when trajectories originate from the south-west.
<bold>(b)</bold> Box–whisker plots of relative enhancement of outlier mixing
ratios. Whiskers indicate minimum and maximum enhancements of mixing ratios
of samples identified as outliers relative to the baseline fit. Boxes
represent the 25th and 75th percentiles, and bars indicate the median for
each sector. Remarkable features are the high relative enhancements of CFC-12
and HCFC-22 when trajectories originate from the north-western sector and
high outlier enhancements of dichloromethane under easterly influence.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/16553/2018/acp-18-16553-2018-f11.png"/>

        </fig>

      <p id="d1e2387">Figure <xref ref-type="fig" rid="Ch1.F11"/> shows the frequency with which outliers above the
baseline occur in a specific sector of trajectory origin. Here, the frequency
of outlier occurrence is the ratio of the number of outliers to the total
number of valid samples with trajectories from a sector.
Figure <xref ref-type="fig" rid="Ch1.F11"/> also shows relative mixing ratios enhancements of
the samples identified as outliers relative to the baseline data. The
relative enhancement of an outlier is defined as the ratio of the absolute
difference between a sample's mixing ratio and the fit to the baseline
evaluated at the sample collection date and the baseline fit. Taking into
account the low number of samples in each sector and the uncertainties
associated with the trajectory calculation, conclusions drawn from the
geometric trajectory analysis should be handled with care.</p>
      <p id="d1e2394">Outliers in all substances except CFC-12 and HFC-245fa most frequently occur
when air masses approach Taunus Observatory from the south-west. Overall, air
masses approaching from south-westerly directions often indicate slow-moving
air masses which are more likely to experience surface influence. Evaluating
the most distant point of each 5-day trajectory, trajectories from the
south-west travel the shortest distances. They are thus likely related to the
regional influence of the nearby Rhine–Main region. Individual trajectories
in this sector may also carry emission signals from regions further
south-west, as they can reach as far as 3000 km from Taunus Observatory
within the calculation period of 5 days. Irrespective of trajectory sector,
outliers<?pagebreak page16566?> occur most frequently with trajectories which spent the 5-day period
closer to Taunus Observatory, again for all substances presented here except
CFC-12 and HFC-245fa. For these two compounds no dependency of outlier
frequency with trajectory extension is apparent.</p>
      <p id="d1e2397"><?xmltex \hack{\newpage}?>Trajectories of samples with elevated CFC-12 mixing ratios most frequently
point to an air mass origin from the north-western sector, which for CFC-11,
HFC-134a, HFC-245fa, HFC-227ea, and for dichloromethane is the wind sector with
the least occurrence of outliers. The north-western sector comprises two
types of trajectories, namely slowly moving ones which approach predominantly
at lower altitudes and fast moving ones at higher altitudes with a higher
probability of both stratospheric and maritime impact, depending on altitude.
Of these, fast moving trajectories approaching over the northern Atlantic at
higher altitudes dominate; air masses are thus less likely to have been
influenced by boundary layer pollution. Air masses associated with a slow
approach at lower altitudes might bear characteristics similar to those
approaching at a low pace from the western sector, with a higher probability
of polluted air being transported from industrial regions in western Germany
and the Benelux countries. Outlier occurrence did not correlate with any
other trajectory parameters such as altitude or absolute length.</p>
</sec>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <title>Conclusions</title>
      <p id="d1e2408">After now more than 4 years of regular sample collection, we presented the
first results of halocarbon measurements at Taunus Observatory for CFC-11,
CFC-12, HCFC-22, HFC-134a, HFC-227ea, HFC-245fa, and dichloromethane.
Measurements are performed offline using an automated GC/MS system employing
two mass spectrometers. Data are shown predominantly from the quadrupole mass
spectrometer as it yields higher data precision and has better data coverage.
However, owing to the full mass scan of the time-of-flight mass spectrometer
operated in parallel, the number of compounds detected with this instrument
is larger than for the QP instrument which is operated in SIM mode, currently
detecting a pre-defined suite of 47 substances. For the time-of-flight mass
spectrometer, almost 60 compounds have been identified up to now, among them
for example three unsaturated HFCs which are increasingly used to replace
long-lived HFCs in applications such as mobile air conditioning.</p>
      <p id="d1e2411">To characterise European background mixing ratios and to link the Taunus
Observatory time series to established measurements of the AGAGE and NOAA
networks, canisters collected at Mace Head Station in the site's clean wind
sector are analysed with the same setup. Mixing ratios of mainly
anthropogenically influenced substances are overall lower at Mace Head than
at Taunus Observatory, with lower variability, which reflects the vicinity to
emission sources for the continental site Taunus Observatory. In addition,
sampling at Taunus Observatory is irrespective of wind direction, while at
Mace Head samples are collected when air masses approach from the clean air
sector.</p>
      <p id="d1e2414">All data are quality filtered based on instrument precisions, and the final
datasets for both sites are divided into baseline<?pagebreak page16567?> data and outliers, using an
iterative outlier identification algorithm. While outliers related to
pollution events with mixing ratios above the baseline variability dominate
the outlier statistics, occasionally also very low mixing ratios occur.</p>
      <p id="d1e2417">CFC-11 and CFC-12, for which production and use has been regulated longest,
mixing ratios decrease overall, but more episodic high mixing ratio events
are observed for CFC-11 than for CFC-12. Exceptionally high mixing ratios of
CFC-11 most often correlate with enhancements of HCFC-22, HFC-134a and of
dichloromethane but not with enhancements of CFC-12. In addition, during
summer CFC-11 mixing ratios behave different from CFC-12 mixing ratios. While
the latter monotonically decrease, CFC-11 mixing ratios show a very small
increase in summer following a springtime minimum.</p>
      <p id="d1e2421">As an example of first-generation replacement compounds, HCFC-22 is shown.
The substance does not show the typical seasonal cycle expected for a
compound, which is predominantly removed from the atmosphere via the reaction
with OH, but exhibits a second maximum in summer. This is consistent with
inversion-based model results predicting emissions of this compound widely
used for cooling applications to maximise in summer. While this is also
predicted for HFC-134a, almost no seasonality of this compound is observed at
Taunus Observatory. A possible explanation is that emissions in summer dampen
the seasonality imposed by reaction with OH, and in addition high variability
of mixing ratios masks seasonal variation. Mixing ratios of both compounds
increase. This is also the case for the two other HFCs presented here,
HFC-245fa and HFC-227ea, mixing ratios of which still increase continuously
at Taunus Observatory. However, the mixing ratio increase in the
shorter-lived HFC-245fa has recently slowed down, while this is not observed
for the longer-lived HFC-227ea.</p>
      <p id="d1e2424">Based on a HYSPLIT trajectory analysis, most outliers are detected in air
masses approaching Taunus Observatory from the south-westerly direction. The
north-western sector is mostly associated with clean air containing
background mixing ratios. An exception to this is observed for CFC-12, for
which the north-western sector has the highest occurrence of outliers above
the baseline. Also, HCFC-22 outlier occurrence in this sector is very high.
Maximum mixing ratio enhancements of outliers are observed when air masses
arrive at the site from westerly or south-westerly directions, with the
exception of HFC-227ea. Mixing ratio enhancements of dichloromethane can also
be very high when air masses approach from the eastern sector. Due to the
limited statistics, the trajectory analysis does not allow conclusions about
specific sources of the discussed compounds.</p>
      <p id="d1e2427">Halocarbon mixing ratios at Taunus Observatory are found to be variable with
polluted outliers occurring regularly. This confirms the site's sensitivity
to European emissions. Measurements of halocarbons at Taunus Observatory
therefore provide an extension of current surface data with the potential to
further constrain regional European emissions, in particular as the site
regularly experiences polluted conditions with air masses approaching over
densely populated regions with industrial activity. Measurements will be
continued and potentially extended, thus increasing the current database.</p>
</sec>

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

      <p id="d1e2435">Trace gas mixing ratio data are available from the
corresponding author upon individual request.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e2438">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/acp-18-16553-2018-supplement" xlink:title="pdf">https://doi.org/10.5194/acp-18-16553-2018-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution">

      <p id="d1e2447">TS, FL, and JH conducted the laboratory
measurements. TS, FG, JH and MJ performed data analysis, as part of which TS
and FG developed the quality assessment procedures. The outlier
identification algorithm was developed and implemented by TS and DW. FL
performed the HYSPLIT trajectory calculations. JH, HB, and AE set up the
GC/MS system and characterised it. TS and AE wrote the
manuscript.</p>
  </notes><notes notes-type="competinginterests">

      <p id="d1e2453">The authors declare that they have no conflict of
interest.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e2459">The authors acknowledge the contribution of technical staff performing
regular sample collection at Mace Head (Gerard Spain) and at Taunus
Observatory (Frank Engel, Timo Keber, Robert Sitals). In addition, we would
like to thank Dominik Brunner for providing calculations for
Fig. <xref ref-type="fig" rid="Ch1.F1"/> and Steve Montzka for helpful discussion and for
supplying NOAA GC/MS data.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?> Edited by: Anita
Ganesan<?xmltex \hack{\newline}?>
Reviewed by: two anonymous referees</p></ack><ref-list>
    <title>References</title>

      <ref id="bib1.bibx1"><label>Brinckmann et al.(2012)</label><mixed-citation>Brinckmann, S., Engel, A., Bönisch, H., Quack, B., and Atlas, E.:
Short-lived brominated hydrocarbons – observations in the source regions and
the tropical tropopause layer, Atmos. Chem. Phys., 12, 1213–1228,
<ext-link xlink:href="https://doi.org/10.5194/acp-12-1213-2012" ext-link-type="DOI">10.5194/acp-12-1213-2012</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bibx2"><label>Brunner et al.(2017)</label><mixed-citation>Brunner, D., Arnold, T., Henne, S., Manning, A., Thompson, R. L., Maione, M.,
O'Doherty, S., and Reimann, S.: Comparison of four inverse modelling systems
applied to the estimation of HFC-125, HFC-134a, and <inline-formula><mml:math id="M82" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">SF</mml:mi><mml:mn mathvariant="normal">6</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> emissions
over Europe, Atmos. Chem. Phys., 17, 10651–10674,
<ext-link xlink:href="https://doi.org/10.5194/acp-17-10651-2017" ext-link-type="DOI">10.5194/acp-17-10651-2017</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx3"><label>Carpenter et al.(2014)</label><mixed-citation>
Carpenter, L., Reimann, S. L. A., Burkholder, J., Clerbaux, C., Hall,
B. D., Hossaini, R., Laube, J., and Yvon-Lewis, S.: Ozone-Depleting
Substances
(ODSs) and Other Gases of Interest to the Montreal Protocol, in: Scientific
Assessment of Ozone Depletion: 2014, Global Ozone Research and Monitoring,
Chapter 1, World Meteorological Organization, Geneva, Switzerland, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx4"><label>Chirkov et al.(2016)</label><mixed-citation>Chirkov, M., Stiller, G. P., Laeng, A., Kellmann, S., von Clarmann, T.,
Boone, C. D., Elkins, J. W., Engel, A., Glatthor, N., Grabowski, U., Harth,
C. M., Kiefer, M., Kolonjari, F., Krummel, P. B., Linden, A., Lunder, C. R.,
Miller, B. R., Montzka, S. A., Mühle, J., O'Doherty, S., Orphal, J.,
Prinn, R. G., Toon, G., Vollmer, M. K., Walker, K. A., Weiss, R. F., Wiegele,
A., and Young, D.: Global HCFC-22 measurements with MIPAS: retrieval,
validation, global distribution and its evolution over 2005–2012, Atmos.
Chem. Phys., 16, 3345–3368, <ext-link xlink:href="https://doi.org/10.5194/acp-16-3345-2016" ext-link-type="DOI">10.5194/acp-16-3345-2016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx5"><label>Fortems-Cheiney et al.(2013)</label><mixed-citation>Fortems-Cheiney, A., Chevallier, F., Saunois, M., Pison, I., Bousquet, P.,
Cressot, C., Wang, H. J., Yokouchi, Y., and Artuso, F.: HCFC-22 emissions at
global and regional scales between 1995 and 2010: Trends and variability, J.
Geophys. Res.-Atmos., 118, 7379–7388, <ext-link xlink:href="https://doi.org/10.1002/jgrd.50544" ext-link-type="DOI">10.1002/jgrd.50544</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx6"><label>Graziosi et al.(2015)</label><mixed-citation>Graziosi, F., Arduini, J., Furlani, F., Giostra, U., Kuijpers, L., Montzka,
S.,
Miller, B., O'Doherty, S., Stohl, A., Bonasoni, P., and Maione, M.: European
emissions of HCFC-22 based on eleven years of high frequency atmospheric
measurements and a Bayesian inversion method, Atmos. Environ., 112, 196–207,
<ext-link xlink:href="https://doi.org/10.1016/j.atmosenv.2015.04.042" ext-link-type="DOI">10.1016/j.atmosenv.2015.04.042</ext-link>,
2015.</mixed-citation></ref>
      <ref id="bib1.bibx7"><label>Hall et al.(2014)</label><mixed-citation>Hall, B. D., Engel, A., Mühle, J., Elkins, J. W., Artuso, F., Atlas, E.,
Aydin, M., Blake, D., Brunke, E.-G., Chiavarini, S., Fraser, P. J., Happell,
J., Krummel, P. B., Levin, I., Loewenstein, M., Maione, M., Montzka, S. A.,
O'Doherty, S., Reimann, S., Rhoderick, G., Saltzman, E. S., Scheel, H. E.,
Steele, L. P., Vollmer, M. K., Weiss, R. F., Worthy, D., and Yokouchi, Y.:
Results from the International Halocarbons in Air Comparison Experiment
(IHALACE), Atmos. Meas. Tech., 7, 469–490,
<ext-link xlink:href="https://doi.org/10.5194/amt-7-469-2014" ext-link-type="DOI">10.5194/amt-7-469-2014</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx8"><label>Henne et al.(2010)</label><mixed-citation>Henne, S., Brunner, D., Folini, D., Solberg, S., Klausen, J., and Buchmann,
B.: Assessment of parameters describing representativeness of air quality
in-situ measurement sites, Atmos. Chem. Phys., 10, 3561–3581,
<ext-link xlink:href="https://doi.org/10.5194/acp-10-3561-2010" ext-link-type="DOI">10.5194/acp-10-3561-2010</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bibx9"><label>Hoker et al.(2015)</label><mixed-citation>Hoker, J., Obersteiner, F., Bönisch, H., and Engel, A.: Comparison of
GC/time-of-flight MS with GC/quadrupole MS for halocarbon trace gas analysis,
Atmos. Meas. Tech., 8, 2195–2206, <ext-link xlink:href="https://doi.org/10.5194/amt-8-2195-2015" ext-link-type="DOI">10.5194/amt-8-2195-2015</ext-link>,
2015.</mixed-citation></ref>
      <ref id="bib1.bibx10"><label>Hossaini et al.(2017)</label><mixed-citation>Hossaini, R., Chipperfield, M., Montzka, S., Leeson, A., Dhomse, S., and
Pyle,
J.: The increasing threat to stratospheric ozone from dichloromethane, Nat.
Commun., 15962, <ext-link xlink:href="https://doi.org/10.1038/ncomms15962" ext-link-type="DOI">10.1038/ncomms15962</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx11"><label>Hu et al.(2017)</label><mixed-citation>Hu, L., Montzka, S. A., Lehman, S. J., Godwin, D. S., Miller, B. R., Andrews,
A. E., Thoning, K., Miller, J. B., Sweeney, C., Siso, C., Elkins, J. W.,
Hall, B. D., Mondeel, D. J., Nance, D., Nehrkorn, T., Mountain, M., Fischer,
M. L., Biraud, S. C., Chen, H., and Tans, P. P.: Considerable contribution of
the Montreal Protocol to declining greenhouse gas emissions from the United
States, Geophys. Res. Lett., 44, 8075–8083, <ext-link xlink:href="https://doi.org/10.1002/2017GL074388" ext-link-type="DOI">10.1002/2017GL074388</ext-link>,
2017.</mixed-citation></ref>
      <ref id="bib1.bibx12"><label>IPCC(2013)</label><mixed-citation>IPCC: Climate Change 2013: The Physical Science Basis, Contribution of
Working
Group I to the Fifth Assessment Report of the Intergovernmental Panel on
Climate Change, Cambridge University Press, Cambridge, United Kingdom and New
York, NY, USA, <ext-link xlink:href="https://doi.org/10.1017/CBO9781107415324" ext-link-type="DOI">10.1017/CBO9781107415324</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx13"><label>Keller et al.(2012)</label><mixed-citation>Keller, C. A., Hill, M., Vollmer, M. K., Henne, S., Brunner, D., Reimann, S.,
O'Doherty, S., Arduini, J., Maione, M., Ferenczi, Z., Haszpra, L., Manning,
A. J., and Peter, T.: European Emissions of Halogenated Greenhouse Gases
Inferred from Atmospheric Measurements, Environ. Sci. Technol., 46, 217–225,
<ext-link xlink:href="https://doi.org/10.1021/es202453j" ext-link-type="DOI">10.1021/es202453j</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bibx14"><label>Laube and Engel(2008)</label><mixed-citation>Laube, J. C. and Engel, A.: First atmospheric observations of three
chlorofluorocarbons, Atmos. Chem. Phys., 8, 5143–5149,
<ext-link xlink:href="https://doi.org/10.5194/acp-8-5143-2008" ext-link-type="DOI">10.5194/acp-8-5143-2008</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bibx15"><label>Laube et al.(2008)</label><mixed-citation>Laube, J. C., Engel, A., Bönisch, H., Möbius, T., Worton, D. R.,
Sturges, W. T., Grunow, K., and Schmidt, U.: Contribution of very short-lived
organic substances to stratospheric chlorine and bromine in the tropics – a
case study, Atmos. Chem. Phys., 8, 7325–7334,
<ext-link xlink:href="https://doi.org/10.5194/acp-8-7325-2008" ext-link-type="DOI">10.5194/acp-8-7325-2008</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bibx16"><label>Laube et al.(2010)</label><mixed-citation>Laube, J. C., Martinerie, P., Witrant, E., Blunier, T., Schwander, J.,
Brenninkmeijer, C. A. M., Schuck, T. J., Bolder, M., Röckmann, T., van
der Veen, C., Bönisch, H., Engel, A., Mills, G. P., Newland, M. J., Oram,
D. E., Reeves, C. E., and Sturges, W. T.: Accelerating growth of HFC-227ea
(1,1,1,2,3,3,3-heptafluoropropane) in the atmosphere, Atmos. Chem. Phys., 10,
5903–5910, <ext-link xlink:href="https://doi.org/10.5194/acp-10-5903-2010" ext-link-type="DOI">10.5194/acp-10-5903-2010</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bibx17"><label>Lunt et al.(2015)</label><mixed-citation>Lunt, M. F., Rigby, M., Ganesan, A. L., Manning, A. J., Prinn, R. G.,
O'Doherty, S., Mühle, J., Harth, C. M., Salameh, P. K., Arnold, T., Weiss,
R. F., Saito, T., Yokouchi, Y., Krummel, P. B., Steele, L. P., Fraser, P. J.,
Li, S., Park, S., Reimann, S., Vollmer, M. K., Lunder, C., Hermansen, O.,
Schmidbauer, N., Maione, M., Arduini, J., Young, D., and Simmonds, P. G.:
Reconciling reported and unreported HFC emissions with atmospheric
observations, P. Natl. Acad.  Sci. USA, 112, 5927–5931,
<ext-link xlink:href="https://doi.org/10.1073/pnas.1420247112" ext-link-type="DOI">10.1073/pnas.1420247112</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx18"><label>Maione et al.(2014)</label><mixed-citation>Maione, M., Graziosi, F., Arduini, J., Furlani, F., Giostra, U., Blake, D.
R., Bonasoni, P., Fang, X., Montzka, S. A., O'Doherty, S. J., Reimann, S.,
Stohl, A., and Vollmer, M. K.: Estimates of European emissions of methyl
chloroform using a Bayesian inversion method, Atmos. Chem. Phys., 14,
9755–9770, <ext-link xlink:href="https://doi.org/10.5194/acp-14-9755-2014" ext-link-type="DOI">10.5194/acp-14-9755-2014</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx19"><label>Montzka et al.(2015)</label><mixed-citation>Montzka, S. A., McFarland, M., Andersen, S. O., Miller, B. R., Fahey, D. W.,
Hall, B. D., Hu, L., Siso, C., and Elkins, J. W.: Recent Trends in Global
Emissions of Hydrochlorofluorocarbons and Hydrofluorocarbons: Reflecting on
the 2007 Adjustments to the Montreal Protocol, J. Phys. Chem. A, 119,
4439–4449, <ext-link xlink:href="https://doi.org/10.1021/jp5097376" ext-link-type="DOI">10.1021/jp5097376</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx20"><label>Montzka et al.(2018)</label><mixed-citation>Montzka, S. A., Dutton, G. S., Yu, P., Ray, E., Portmann, R. W., Daniel,
J. S.,
Kuijpers, L., Hall, B. D., Mondeel, D., Siso, C., Nance, J. D., Rigby, M.,
Manning, A. J., Hu, L., Moore, F., Miller, B. R., and Elkins, J. W.: An
unexpected and persistent increase in global emissions of ozone-depleting
CFC-11, Nature, 557, 413–417, <ext-link xlink:href="https://doi.org/10.1038/s41586-018-0106-2" ext-link-type="DOI">10.1038/s41586-018-0106-2</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bibx21"><label>Obersteiner et al.(2016)</label><mixed-citation>Obersteiner, F., Bönisch, H., and Engel, A.: An automated gas
chromatography time-of-flight mass spectrometry instrument for the
quantitative analysis of halocarbons in air, Atmos. Meas. Tech., 9, 179–194,
<ext-link xlink:href="https://doi.org/10.5194/amt-9-179-2016" ext-link-type="DOI">10.5194/amt-9-179-2016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx22"><label>O'Doherty et al.(2009)</label><mixed-citation>O'Doherty, S., Cunnold, D. M., Miller, B. R., Mühle, J., McCulloch, A.,
Simmonds, P. G., Manning, A. J., Reimann, S., Vollmer, M. K., Greally, B. R.,
Prinn, R. G., Fraser, P. J., Steele, L. P., Krummel, P. B., Dunse, B. L.,
Porter, L. W., Lunder, C. R., Schmidbauer, N., Hermansen, O., Salameh, P. K.,
Harth, C. M., Wang, R. H. J., and Weiss, R. F.: Global and regional emissions
of HFC-125 (<inline-formula><mml:math id="M83" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CHF</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">CF</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) from in situ and air archive atmospheric
observations at AGAGE and<?pagebreak page16569?> SOGE observatories, J. Geophys. Res.-Atmos., 114, d23304,
<ext-link xlink:href="https://doi.org/10.1029/2009JD012184" ext-link-type="DOI">10.1029/2009JD012184</ext-link>,  2009.</mixed-citation></ref>
      <ref id="bib1.bibx23"><label>O'Doherty et al.(2014)</label><mixed-citation>O'Doherty, S., Rigby, M., Mühle, J., Ivy, D. J., Miller, B. R., Young,
D., Simmonds, P. G., Reimann, S., Vollmer, M. K., Krummel, P. B., Fraser, P.
J., Steele, L. P., Dunse, B., Salameh, P. K., Harth, C. M., Arnold, T.,
Weiss, R. F., Kim, J., Park, S., Li, S., Lunder, C., Hermansen, O.,
Schmidbauer, N., Zhou, L. X., Yao, B., Wang, R. H. J., Manning, A. J., and
Prinn, R. G.: Global emissions of HFC-143a (<inline-formula><mml:math id="M84" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CH</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">CF</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) and HFC-32
(<inline-formula><mml:math id="M85" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CH</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">F</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) from in situ and air archive atmospheric observations,
Atmos. Chem. Phys., 14, 9249–9258, <ext-link xlink:href="https://doi.org/10.5194/acp-14-9249-2014" ext-link-type="DOI">10.5194/acp-14-9249-2014</ext-link>,
2014.</mixed-citation></ref>
      <ref id="bib1.bibx24"><label>Oram et al.(2017)</label><mixed-citation>Oram, D. E., Ashfold, M. J., Laube, J. C., Gooch, L. J., Humphrey, S.,
Sturges, W. T., Leedham-Elvidge, E., Forster, G. L., Harris, N. R. P., Mead,
M. I., Samah, A. A., Phang, S. M., Ou-Yang, C.-F., Lin, N.-H., Wang, J.-L.,
Baker, A. K., Brenninkmeijer, C. A. M., and Sherry, D.: A growing threat to
the ozone layer from short-lived anthropogenic chlorocarbons, Atmos. Chem.
Phys., 17, 11929–11941, <ext-link xlink:href="https://doi.org/10.5194/acp-17-11929-2017" ext-link-type="DOI">10.5194/acp-17-11929-2017</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx25"><label>Prinn et al.(2018)</label><mixed-citation>Prinn, R. G., Weiss, R. F., Arduini, J., Arnold, T., DeWitt, H. L., Fraser,
P. J., Ganesan, A. L., Gasore, J., Harth, C. M., Hermansen, O., Kim, J.,
Krummel, P. B., Li, S., Loh, Z. M., Lunder, C. R., Maione, M., Manning, A.
J., Miller, B. R., Mitrevski, B., Mühle, J., O'Doherty, S., Park, S.,
Reimann, S., Rigby, M., Saito, T., Salameh, P. K., Schmidt, R., Simmonds, P.
G., Steele, L. P., Vollmer, M. K., Wang, R. H., Yao, B., Yokouchi, Y., Young,
D., and Zhou, L.: History of chemically and radiatively important atmospheric
gases from the Advanced Global Atmospheric Gases Experiment (AGAGE), Earth
Syst. Sci. Data, 10, 985–1018, <ext-link xlink:href="https://doi.org/10.5194/essd-10-985-2018" ext-link-type="DOI">10.5194/essd-10-985-2018</ext-link>,
2018.</mixed-citation></ref>
      <ref id="bib1.bibx26"><label>Rigby et al.(2014)</label><mixed-citation>Rigby, M., Prinn, R. G., O'Doherty, S., Miller, B. R., Ivy, D., Mühle,
J.,
Harth, C. M., Salameh, P. K., Arnold, T., Weiss, R. F., Krummel, P. B.,
Steele, L. P., Fraser, P. J., Young, D., and Simmonds, P. G.: Recent and
future trends in synthetic greenhouse gas radiative forcing, Geophys. Res.
Lett., 41, 2623–2630, <ext-link xlink:href="https://doi.org/10.1002/2013GL059099" ext-link-type="DOI">10.1002/2013GL059099</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx27"><label>Rosenlof(1995)</label><mixed-citation>Rosenlof, K. H.: Seasonal cycle of the residual mean meridional circulation
in
the stratosphere, J. Geophys. Res.-Atmos., 100, 5173–5191,
<ext-link xlink:href="https://doi.org/10.1029/94JD03122" ext-link-type="DOI">10.1029/94JD03122</ext-link>, 1995.</mixed-citation></ref>
      <ref id="bib1.bibx28"><label>Saikawa et al.(2012)</label><mixed-citation>Saikawa, E., Rigby, M., Prinn, R. G., Montzka, S. A., Miller, B. R.,
Kuijpers, L. J. M., Fraser, P. J. B., Vollmer, M. K., Saito, T., Yokouchi,
Y., Harth, C. M., Mühle, J., Weiss, R. F., Salameh, P. K., Kim, J., Li,
S., Park, S., Kim, K.-R., Young, D., O'Doherty, S., Simmonds, P. G.,
McCulloch, A., Krummel, P. B., Steele, L. P., Lunder, C., Hermansen, O.,
Maione, M., Arduini, J., Yao, B., Zhou, L. X., Wang, H. J., Elkins, J. W.,
and Hall, B.: Global and regional emission estimates for HCFC-22, Atmos.
Chem. Phys., 12, 10033–10050, <ext-link xlink:href="https://doi.org/10.5194/acp-12-10033-2012" ext-link-type="DOI">10.5194/acp-12-10033-2012</ext-link>,
2012.</mixed-citation></ref>
      <ref id="bib1.bibx29"><label>Škerlak et al.(2014)</label><mixed-citation>Škerlak, B., Sprenger, M., and Wernli, H.: A global climatology of
stratosphere-troposphere exchange using the ERA-Interim data set from 1979 to
2011, Atmos. Chem. Phys., 14, 913–937,
<ext-link xlink:href="https://doi.org/10.5194/acp-14-913-2014" ext-link-type="DOI">10.5194/acp-14-913-2014</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx30"><label>Simmonds et al.(2006)</label><mixed-citation>Simmonds, P. G., Manning, A. J., Cunnold, D. M., McCulloch, A., O'Doherty,
S.,
Derwent, R. G., Krummel, P. B., Fraser, P. J., Dunse, B., Porter, L. W.,
Wang, R. H. J., Greally, B. R., Miller, B. R., Salameh, P., Weiss, R. F., and
Prinn, R. G.: Global trends, seasonal cycles, and European emissions of
dichloromethane, trichloroethene, and tetrachloroethene from the AGAGE
observations at Mace Head, Ireland, and Cape Grim, Tasmania, J. Geophys. Res.-Atmos., 111, D18304, <ext-link xlink:href="https://doi.org/10.1029/2006JD007082" ext-link-type="DOI">10.1029/2006JD007082</ext-link>,
2006.</mixed-citation></ref>
      <ref id="bib1.bibx31"><label>Simmonds et al.(2016)</label><mixed-citation>Simmonds, P. G., Rigby, M., Manning, A. J., Lunt, M. F., O'Doherty, S.,
McCulloch, A., Fraser, P. J., Henne, S., Vollmer, M. K., Mühle, J.,
Weiss, R. F., Salameh, P. K., Young, D., Reimann, S., Wenger, A., Arnold, T.,
Harth, C. M., Krummel, P. B., Steele, L. P., Dunse, B. L., Miller, B. R.,
Lunder, C. R., Hermansen, O., Schmidbauer, N., Saito, T., Yokouchi, Y., Park,
S., Li, S., Yao, B., Zhou, L. X., Arduini, J., Maione, M., Wang, R. H. J.,
Ivy, D., and Prinn, R. G.: Global and regional emissions estimates of
1,1-difluoroethane (HFC-152a, <inline-formula><mml:math id="M86" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CH</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">CHF</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) from in situ and air
archive observations, Atmos. Chem. Phys., 16, 365–382,
<ext-link xlink:href="https://doi.org/10.5194/acp-16-365-2016" ext-link-type="DOI">10.5194/acp-16-365-2016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx32"><label>Simmonds et al.(2017)</label><mixed-citation>Simmonds, P. G., Rigby, M., McCulloch, A., O'Doherty, S., Young, D.,
Mühle, J., Krummel, P. B., Steele, P., Fraser, P. J., Manning, A. J.,
Weiss, R. F., Salameh, P. K., Harth, C. M., Wang, R. H. J., and Prinn, R. G.:
Changing trends and emissions of hydrochlorofluorocarbons (HCFCs) and their
hydrofluorocarbon (HFCs) replacements, Atmos. Chem. Phys., 17, 4641–4655,
<ext-link xlink:href="https://doi.org/10.5194/acp-17-4641-2017" ext-link-type="DOI">10.5194/acp-17-4641-2017</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx33"><label>SPARC(2013)</label><mixed-citation>SPARC: SPARC Report on Lifetimes of Stratospheric Ozone-Depleting Substances,
Their Replacements, and Related Species, vol. No. 6, SPARC Office,
available at: <uri>http://www.sparc-climate.org/publications/sparc-reports/</uri> (last access: 20 August 2018),
2013.
</mixed-citation></ref><?xmltex \hack{\newpage}?>
      <ref id="bib1.bibx34"><label>Stein et al.(2015)</label><mixed-citation>Stein, A. F., Draxler, R. R., Rolph, G. D., Stunder, B. J. B., Cohen, M. D.,
and Ngan, F.: NOAA's HYSPLIT Atmospheric Transport and Dispersion Modeling
System, B. Am. Meteorol. Soc., 96, 2059–2077,
<ext-link xlink:href="https://doi.org/10.1175/BAMS-D-14-00110.1" ext-link-type="DOI">10.1175/BAMS-D-14-00110.1</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx35"><label>Villani et al.(2010)</label><mixed-citation>Villani, M. G., Bergamaschi, P., Krol, M., Meirink, J. F., and Dentener, F.:
Inverse modeling of European <inline-formula><mml:math id="M87" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CH</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> emissions: sensitivity to the
observational network, Atmos. Chem. Phys., 10, 1249–1267,
<ext-link xlink:href="https://doi.org/10.5194/acp-10-1249-2010" ext-link-type="DOI">10.5194/acp-10-1249-2010</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bibx36"><label>Vollmer et al.(2006)</label><mixed-citation>Vollmer, M. K., Reimann, S., Folini, D., Porter, L. W., and Steele, L. P.:
First appearance and rapid growth of anthropogenic HFC-245fa
(<inline-formula><mml:math id="M88" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CHF</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">CH</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">CF</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) in the atmosphere, Geophys. Res. Lett., 33, l20806,
<ext-link xlink:href="https://doi.org/10.1029/2006GL026763" ext-link-type="DOI">10.1029/2006GL026763</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bibx37"><label>Vollmer et al.(2015)</label><mixed-citation>Vollmer, M. K., Reimann, S., Hill, M., and Brunner, D.: First Observations of
the Fourth Generation Synthetic Halocarbons HFC-1234yf, HFC-1234ze(E), and
HCFC-1233zd(E) in the Atmosphere, Environ. Sci. Technol., 49, 2703–2708,
<ext-link xlink:href="https://doi.org/10.1021/es505123x" ext-link-type="DOI">10.1021/es505123x</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx38"><label>Xiang et al.(2014)</label><mixed-citation>Xiang, B., Patra, P. K., Montzka, S. A., Miller, S. M., Elkins, J. W., Moore,
F. L., Atlas, E. L., Miller, B. R., Weiss, R. F., Prinn, R. G., and Wofsy,
S. C.: Global emissions of refrigerants HCFC-22 and HFC-134a: Unforeseen
seasonal contributions, P. Natl. Acad. Sci. USA, 111, 17379–17384, <ext-link xlink:href="https://doi.org/10.1073/pnas.1417372111" ext-link-type="DOI">10.1073/pnas.1417372111</ext-link>,
2014.</mixed-citation></ref>

  </ref-list></back>
    <!--<article-title-html>Establishing long-term measurements of halocarbons at Taunus Observatory</article-title-html>
<abstract-html><p>In late 2013, a whole air flask collection programme was started at Taunus
Observatory (TO) in central Germany. Being a rural site in close proximity to
the Rhine–Main area, Taunus Observatory allows assessment of emissions from a densely populated region. Owing
to its altitude of 825&thinsp;m, the site also regularly experiences background
conditions, especially when air masses approach from north-westerly
directions. With a large footprint area mainly covering central Europe north
of the Alps, halocarbon measurements at the site have the potential to
improve the database for estimation of regional and total European
halogenated greenhouse gas emissions. Flask samples are collected weekly for
offline analysis using a GC/MS system simultaneously employing a quadrupole
as well as a time-of-flight mass spectrometer. As background reference,
additional samples are collected approximately once every 2 weeks at the Mace
Head Atmospheric Research Station (MHD) when air masses approach from the
site's clean air sector. Thus the time series at TO can be linked to the in
situ AGAGE measurements and the NOAA flask sampling programme at MHD.
An iterative baseline identification procedure separates polluted samples
from baseline data. While there is good agreement of baseline mixing ratios
between TO and MHD, with a larger variability of mixing ratios at the
continental site, measurements at TO are regularly influenced by elevated
halocarbon mixing ratios. Here, first time series are presented for CFC-11,
CFC-12, HCFC-22, HFC-134a, HFC-227ea, HFC-245fa, and dichloromethane. While
atmospheric mixing ratios of the chlorofluorocarbons (CFCs) decrease, they
increase for the hydrochlorofluorocarbons (HCFCs) and the hydrofluorocarbons
(HFCs). Small unexpected differences between CFC-11 and CFC-12 are found with
regard to frequency and relative enhancement of high mixing ratio events and
seasonality, although production and use of both compounds are strictly
regulated by the Montreal Protocol, and therefore a similar decrease in
atmospheric mixing ratios should occur. Dichloromethane, a solvent about
which recently concerns have been raised regarding its growing influence on
stratospheric ozone depletion, does not show a significant trend with regard
to both baseline mixing ratios and the occurrence of pollution events at
Taunus Observatory for the time period covered, indicating stable emissions
in the regions that influence the site. An analysis of trajectories from the
Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model
reveals differences in halocarbon mixing ranges depending on air mass origin.</p></abstract-html>
<ref-html id="bib1.bib1"><label>Brinckmann et al.(2012)</label><mixed-citation>
Brinckmann, S., Engel, A., Bönisch, H., Quack, B., and Atlas, E.:
Short-lived brominated hydrocarbons – observations in the source regions and
the tropical tropopause layer, Atmos. Chem. Phys., 12, 1213–1228,
<a href="https://doi.org/10.5194/acp-12-1213-2012" target="_blank">https://doi.org/10.5194/acp-12-1213-2012</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>Brunner et al.(2017)</label><mixed-citation>
Brunner, D., Arnold, T., Henne, S., Manning, A., Thompson, R. L., Maione, M.,
O'Doherty, S., and Reimann, S.: Comparison of four inverse modelling systems
applied to the estimation of HFC-125, HFC-134a, and SF<sub>6</sub> emissions
over Europe, Atmos. Chem. Phys., 17, 10651–10674,
<a href="https://doi.org/10.5194/acp-17-10651-2017" target="_blank">https://doi.org/10.5194/acp-17-10651-2017</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>Carpenter et al.(2014)</label><mixed-citation>
Carpenter, L., Reimann, S. L. A., Burkholder, J., Clerbaux, C., Hall,
B. D., Hossaini, R., Laube, J., and Yvon-Lewis, S.: Ozone-Depleting
Substances
(ODSs) and Other Gases of Interest to the Montreal Protocol, in: Scientific
Assessment of Ozone Depletion: 2014, Global Ozone Research and Monitoring,
Chapter 1, World Meteorological Organization, Geneva, Switzerland, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>Chirkov et al.(2016)</label><mixed-citation>
Chirkov, M., Stiller, G. P., Laeng, A., Kellmann, S., von Clarmann, T.,
Boone, C. D., Elkins, J. W., Engel, A., Glatthor, N., Grabowski, U., Harth,
C. M., Kiefer, M., Kolonjari, F., Krummel, P. B., Linden, A., Lunder, C. R.,
Miller, B. R., Montzka, S. A., Mühle, J., O'Doherty, S., Orphal, J.,
Prinn, R. G., Toon, G., Vollmer, M. K., Walker, K. A., Weiss, R. F., Wiegele,
A., and Young, D.: Global HCFC-22 measurements with MIPAS: retrieval,
validation, global distribution and its evolution over 2005–2012, Atmos.
Chem. Phys., 16, 3345–3368, <a href="https://doi.org/10.5194/acp-16-3345-2016" target="_blank">https://doi.org/10.5194/acp-16-3345-2016</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>Fortems-Cheiney et al.(2013)</label><mixed-citation>
Fortems-Cheiney, A., Chevallier, F., Saunois, M., Pison, I., Bousquet, P.,
Cressot, C., Wang, H. J., Yokouchi, Y., and Artuso, F.: HCFC-22 emissions at
global and regional scales between 1995 and 2010: Trends and variability, J.
Geophys. Res.-Atmos., 118, 7379–7388, <a href="https://doi.org/10.1002/jgrd.50544" target="_blank">https://doi.org/10.1002/jgrd.50544</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>Graziosi et al.(2015)</label><mixed-citation>
Graziosi, F., Arduini, J., Furlani, F., Giostra, U., Kuijpers, L., Montzka,
S.,
Miller, B., O'Doherty, S., Stohl, A., Bonasoni, P., and Maione, M.: European
emissions of HCFC-22 based on eleven years of high frequency atmospheric
measurements and a Bayesian inversion method, Atmos. Environ., 112, 196–207,
<a href="https://doi.org/10.1016/j.atmosenv.2015.04.042" target="_blank">https://doi.org/10.1016/j.atmosenv.2015.04.042</a>,
2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>Hall et al.(2014)</label><mixed-citation>
Hall, B. D., Engel, A., Mühle, J., Elkins, J. W., Artuso, F., Atlas, E.,
Aydin, M., Blake, D., Brunke, E.-G., Chiavarini, S., Fraser, P. J., Happell,
J., Krummel, P. B., Levin, I., Loewenstein, M., Maione, M., Montzka, S. A.,
O'Doherty, S., Reimann, S., Rhoderick, G., Saltzman, E. S., Scheel, H. E.,
Steele, L. P., Vollmer, M. K., Weiss, R. F., Worthy, D., and Yokouchi, Y.:
Results from the International Halocarbons in Air Comparison Experiment
(IHALACE), Atmos. Meas. Tech., 7, 469–490,
<a href="https://doi.org/10.5194/amt-7-469-2014" target="_blank">https://doi.org/10.5194/amt-7-469-2014</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>Henne et al.(2010)</label><mixed-citation>
Henne, S., Brunner, D., Folini, D., Solberg, S., Klausen, J., and Buchmann,
B.: Assessment of parameters describing representativeness of air quality
in-situ measurement sites, Atmos. Chem. Phys., 10, 3561–3581,
<a href="https://doi.org/10.5194/acp-10-3561-2010" target="_blank">https://doi.org/10.5194/acp-10-3561-2010</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>Hoker et al.(2015)</label><mixed-citation>
Hoker, J., Obersteiner, F., Bönisch, H., and Engel, A.: Comparison of
GC/time-of-flight MS with GC/quadrupole MS for halocarbon trace gas analysis,
Atmos. Meas. Tech., 8, 2195–2206, <a href="https://doi.org/10.5194/amt-8-2195-2015" target="_blank">https://doi.org/10.5194/amt-8-2195-2015</a>,
2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>Hossaini et al.(2017)</label><mixed-citation>
Hossaini, R., Chipperfield, M., Montzka, S., Leeson, A., Dhomse, S., and
Pyle,
J.: The increasing threat to stratospheric ozone from dichloromethane, Nat.
Commun., 15962, <a href="https://doi.org/10.1038/ncomms15962" target="_blank">https://doi.org/10.1038/ncomms15962</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>Hu et al.(2017)</label><mixed-citation>
Hu, L., Montzka, S. A., Lehman, S. J., Godwin, D. S., Miller, B. R., Andrews,
A. E., Thoning, K., Miller, J. B., Sweeney, C., Siso, C., Elkins, J. W.,
Hall, B. D., Mondeel, D. J., Nance, D., Nehrkorn, T., Mountain, M., Fischer,
M. L., Biraud, S. C., Chen, H., and Tans, P. P.: Considerable contribution of
the Montreal Protocol to declining greenhouse gas emissions from the United
States, Geophys. Res. Lett., 44, 8075–8083, <a href="https://doi.org/10.1002/2017GL074388" target="_blank">https://doi.org/10.1002/2017GL074388</a>,
2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>IPCC(2013)</label><mixed-citation>
IPCC: Climate Change 2013: The Physical Science Basis, Contribution of
Working
Group I to the Fifth Assessment Report of the Intergovernmental Panel on
Climate Change, Cambridge University Press, Cambridge, United Kingdom and New
York, NY, USA, <a href="https://doi.org/10.1017/CBO9781107415324" target="_blank">https://doi.org/10.1017/CBO9781107415324</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>Keller et al.(2012)</label><mixed-citation>
Keller, C. A., Hill, M., Vollmer, M. K., Henne, S., Brunner, D., Reimann, S.,
O'Doherty, S., Arduini, J., Maione, M., Ferenczi, Z., Haszpra, L., Manning,
A. J., and Peter, T.: European Emissions of Halogenated Greenhouse Gases
Inferred from Atmospheric Measurements, Environ. Sci. Technol., 46, 217–225,
<a href="https://doi.org/10.1021/es202453j" target="_blank">https://doi.org/10.1021/es202453j</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>Laube and Engel(2008)</label><mixed-citation>
Laube, J. C. and Engel, A.: First atmospheric observations of three
chlorofluorocarbons, Atmos. Chem. Phys., 8, 5143–5149,
<a href="https://doi.org/10.5194/acp-8-5143-2008" target="_blank">https://doi.org/10.5194/acp-8-5143-2008</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>Laube et al.(2008)</label><mixed-citation>
Laube, J. C., Engel, A., Bönisch, H., Möbius, T., Worton, D. R.,
Sturges, W. T., Grunow, K., and Schmidt, U.: Contribution of very short-lived
organic substances to stratospheric chlorine and bromine in the tropics – a
case study, Atmos. Chem. Phys., 8, 7325–7334,
<a href="https://doi.org/10.5194/acp-8-7325-2008" target="_blank">https://doi.org/10.5194/acp-8-7325-2008</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>Laube et al.(2010)</label><mixed-citation>
Laube, J. C., Martinerie, P., Witrant, E., Blunier, T., Schwander, J.,
Brenninkmeijer, C. A. M., Schuck, T. J., Bolder, M., Röckmann, T., van
der Veen, C., Bönisch, H., Engel, A., Mills, G. P., Newland, M. J., Oram,
D. E., Reeves, C. E., and Sturges, W. T.: Accelerating growth of HFC-227ea
(1,1,1,2,3,3,3-heptafluoropropane) in the atmosphere, Atmos. Chem. Phys., 10,
5903–5910, <a href="https://doi.org/10.5194/acp-10-5903-2010" target="_blank">https://doi.org/10.5194/acp-10-5903-2010</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>Lunt et al.(2015)</label><mixed-citation>
Lunt, M. F., Rigby, M., Ganesan, A. L., Manning, A. J., Prinn, R. G.,
O'Doherty, S., Mühle, J., Harth, C. M., Salameh, P. K., Arnold, T., Weiss,
R. F., Saito, T., Yokouchi, Y., Krummel, P. B., Steele, L. P., Fraser, P. J.,
Li, S., Park, S., Reimann, S., Vollmer, M. K., Lunder, C., Hermansen, O.,
Schmidbauer, N., Maione, M., Arduini, J., Young, D., and Simmonds, P. G.:
Reconciling reported and unreported HFC emissions with atmospheric
observations, P. Natl. Acad.  Sci. USA, 112, 5927–5931,
<a href="https://doi.org/10.1073/pnas.1420247112" target="_blank">https://doi.org/10.1073/pnas.1420247112</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>Maione et al.(2014)</label><mixed-citation>
Maione, M., Graziosi, F., Arduini, J., Furlani, F., Giostra, U., Blake, D.
R., Bonasoni, P., Fang, X., Montzka, S. A., O'Doherty, S. J., Reimann, S.,
Stohl, A., and Vollmer, M. K.: Estimates of European emissions of methyl
chloroform using a Bayesian inversion method, Atmos. Chem. Phys., 14,
9755–9770, <a href="https://doi.org/10.5194/acp-14-9755-2014" target="_blank">https://doi.org/10.5194/acp-14-9755-2014</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>Montzka et al.(2015)</label><mixed-citation>
Montzka, S. A., McFarland, M., Andersen, S. O., Miller, B. R., Fahey, D. W.,
Hall, B. D., Hu, L., Siso, C., and Elkins, J. W.: Recent Trends in Global
Emissions of Hydrochlorofluorocarbons and Hydrofluorocarbons: Reflecting on
the 2007 Adjustments to the Montreal Protocol, J. Phys. Chem. A, 119,
4439–4449, <a href="https://doi.org/10.1021/jp5097376" target="_blank">https://doi.org/10.1021/jp5097376</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib20"><label>Montzka et al.(2018)</label><mixed-citation>
Montzka, S. A., Dutton, G. S., Yu, P., Ray, E., Portmann, R. W., Daniel,
J. S.,
Kuijpers, L., Hall, B. D., Mondeel, D., Siso, C., Nance, J. D., Rigby, M.,
Manning, A. J., Hu, L., Moore, F., Miller, B. R., and Elkins, J. W.: An
unexpected and persistent increase in global emissions of ozone-depleting
CFC-11, Nature, 557, 413–417, <a href="https://doi.org/10.1038/s41586-018-0106-2" target="_blank">https://doi.org/10.1038/s41586-018-0106-2</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib21"><label>Obersteiner et al.(2016)</label><mixed-citation>
Obersteiner, F., Bönisch, H., and Engel, A.: An automated gas
chromatography time-of-flight mass spectrometry instrument for the
quantitative analysis of halocarbons in air, Atmos. Meas. Tech., 9, 179–194,
<a href="https://doi.org/10.5194/amt-9-179-2016" target="_blank">https://doi.org/10.5194/amt-9-179-2016</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib22"><label>O'Doherty et al.(2009)</label><mixed-citation>
O'Doherty, S., Cunnold, D. M., Miller, B. R., Mühle, J., McCulloch, A.,
Simmonds, P. G., Manning, A. J., Reimann, S., Vollmer, M. K., Greally, B. R.,
Prinn, R. G., Fraser, P. J., Steele, L. P., Krummel, P. B., Dunse, B. L.,
Porter, L. W., Lunder, C. R., Schmidbauer, N., Hermansen, O., Salameh, P. K.,
Harth, C. M., Wang, R. H. J., and Weiss, R. F.: Global and regional emissions
of HFC-125 (CHF<sub>2</sub>CF<sub>3</sub>) from in situ and air archive atmospheric
observations at AGAGE and SOGE observatories, J. Geophys. Res.-Atmos., 114, d23304,
<a href="https://doi.org/10.1029/2009JD012184" target="_blank">https://doi.org/10.1029/2009JD012184</a>,  2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib23"><label>O'Doherty et al.(2014)</label><mixed-citation>
O'Doherty, S., Rigby, M., Mühle, J., Ivy, D. J., Miller, B. R., Young,
D., Simmonds, P. G., Reimann, S., Vollmer, M. K., Krummel, P. B., Fraser, P.
J., Steele, L. P., Dunse, B., Salameh, P. K., Harth, C. M., Arnold, T.,
Weiss, R. F., Kim, J., Park, S., Li, S., Lunder, C., Hermansen, O.,
Schmidbauer, N., Zhou, L. X., Yao, B., Wang, R. H. J., Manning, A. J., and
Prinn, R. G.: Global emissions of HFC-143a (CH<sub>3</sub>CF<sub>3</sub>) and HFC-32
(CH<sub>2</sub>F<sub>2</sub>) from in situ and air archive atmospheric observations,
Atmos. Chem. Phys., 14, 9249–9258, <a href="https://doi.org/10.5194/acp-14-9249-2014" target="_blank">https://doi.org/10.5194/acp-14-9249-2014</a>,
2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib24"><label>Oram et al.(2017)</label><mixed-citation>
Oram, D. E., Ashfold, M. J., Laube, J. C., Gooch, L. J., Humphrey, S.,
Sturges, W. T., Leedham-Elvidge, E., Forster, G. L., Harris, N. R. P., Mead,
M. I., Samah, A. A., Phang, S. M., Ou-Yang, C.-F., Lin, N.-H., Wang, J.-L.,
Baker, A. K., Brenninkmeijer, C. A. M., and Sherry, D.: A growing threat to
the ozone layer from short-lived anthropogenic chlorocarbons, Atmos. Chem.
Phys., 17, 11929–11941, <a href="https://doi.org/10.5194/acp-17-11929-2017" target="_blank">https://doi.org/10.5194/acp-17-11929-2017</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib25"><label>Prinn et al.(2018)</label><mixed-citation>
Prinn, R. G., Weiss, R. F., Arduini, J., Arnold, T., DeWitt, H. L., Fraser,
P. J., Ganesan, A. L., Gasore, J., Harth, C. M., Hermansen, O., Kim, J.,
Krummel, P. B., Li, S., Loh, Z. M., Lunder, C. R., Maione, M., Manning, A.
J., Miller, B. R., Mitrevski, B., Mühle, J., O'Doherty, S., Park, S.,
Reimann, S., Rigby, M., Saito, T., Salameh, P. K., Schmidt, R., Simmonds, P.
G., Steele, L. P., Vollmer, M. K., Wang, R. H., Yao, B., Yokouchi, Y., Young,
D., and Zhou, L.: History of chemically and radiatively important atmospheric
gases from the Advanced Global Atmospheric Gases Experiment (AGAGE), Earth
Syst. Sci. Data, 10, 985–1018, <a href="https://doi.org/10.5194/essd-10-985-2018" target="_blank">https://doi.org/10.5194/essd-10-985-2018</a>,
2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib26"><label>Rigby et al.(2014)</label><mixed-citation>
Rigby, M., Prinn, R. G., O'Doherty, S., Miller, B. R., Ivy, D., Mühle,
J.,
Harth, C. M., Salameh, P. K., Arnold, T., Weiss, R. F., Krummel, P. B.,
Steele, L. P., Fraser, P. J., Young, D., and Simmonds, P. G.: Recent and
future trends in synthetic greenhouse gas radiative forcing, Geophys. Res.
Lett., 41, 2623–2630, <a href="https://doi.org/10.1002/2013GL059099" target="_blank">https://doi.org/10.1002/2013GL059099</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib27"><label>Rosenlof(1995)</label><mixed-citation>
Rosenlof, K. H.: Seasonal cycle of the residual mean meridional circulation
in
the stratosphere, J. Geophys. Res.-Atmos., 100, 5173–5191,
<a href="https://doi.org/10.1029/94JD03122" target="_blank">https://doi.org/10.1029/94JD03122</a>, 1995.
</mixed-citation></ref-html>
<ref-html id="bib1.bib28"><label>Saikawa et al.(2012)</label><mixed-citation>
Saikawa, E., Rigby, M., Prinn, R. G., Montzka, S. A., Miller, B. R.,
Kuijpers, L. J. M., Fraser, P. J. B., Vollmer, M. K., Saito, T., Yokouchi,
Y., Harth, C. M., Mühle, J., Weiss, R. F., Salameh, P. K., Kim, J., Li,
S., Park, S., Kim, K.-R., Young, D., O'Doherty, S., Simmonds, P. G.,
McCulloch, A., Krummel, P. B., Steele, L. P., Lunder, C., Hermansen, O.,
Maione, M., Arduini, J., Yao, B., Zhou, L. X., Wang, H. J., Elkins, J. W.,
and Hall, B.: Global and regional emission estimates for HCFC-22, Atmos.
Chem. Phys., 12, 10033–10050, <a href="https://doi.org/10.5194/acp-12-10033-2012" target="_blank">https://doi.org/10.5194/acp-12-10033-2012</a>,
2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib29"><label>Škerlak et al.(2014)</label><mixed-citation>
Škerlak, B., Sprenger, M., and Wernli, H.: A global climatology of
stratosphere-troposphere exchange using the ERA-Interim data set from 1979 to
2011, Atmos. Chem. Phys., 14, 913–937,
<a href="https://doi.org/10.5194/acp-14-913-2014" target="_blank">https://doi.org/10.5194/acp-14-913-2014</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib30"><label>Simmonds et al.(2006)</label><mixed-citation>
Simmonds, P. G., Manning, A. J., Cunnold, D. M., McCulloch, A., O'Doherty,
S.,
Derwent, R. G., Krummel, P. B., Fraser, P. J., Dunse, B., Porter, L. W.,
Wang, R. H. J., Greally, B. R., Miller, B. R., Salameh, P., Weiss, R. F., and
Prinn, R. G.: Global trends, seasonal cycles, and European emissions of
dichloromethane, trichloroethene, and tetrachloroethene from the AGAGE
observations at Mace Head, Ireland, and Cape Grim, Tasmania, J. Geophys. Res.-Atmos., 111, D18304, <a href="https://doi.org/10.1029/2006JD007082" target="_blank">https://doi.org/10.1029/2006JD007082</a>,
2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib31"><label>Simmonds et al.(2016)</label><mixed-citation>
Simmonds, P. G., Rigby, M., Manning, A. J., Lunt, M. F., O'Doherty, S.,
McCulloch, A., Fraser, P. J., Henne, S., Vollmer, M. K., Mühle, J.,
Weiss, R. F., Salameh, P. K., Young, D., Reimann, S., Wenger, A., Arnold, T.,
Harth, C. M., Krummel, P. B., Steele, L. P., Dunse, B. L., Miller, B. R.,
Lunder, C. R., Hermansen, O., Schmidbauer, N., Saito, T., Yokouchi, Y., Park,
S., Li, S., Yao, B., Zhou, L. X., Arduini, J., Maione, M., Wang, R. H. J.,
Ivy, D., and Prinn, R. G.: Global and regional emissions estimates of
1,1-difluoroethane (HFC-152a, CH<sub>3</sub>CHF<sub>2</sub>) from in situ and air
archive observations, Atmos. Chem. Phys., 16, 365–382,
<a href="https://doi.org/10.5194/acp-16-365-2016" target="_blank">https://doi.org/10.5194/acp-16-365-2016</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib32"><label>Simmonds et al.(2017)</label><mixed-citation>
Simmonds, P. G., Rigby, M., McCulloch, A., O'Doherty, S., Young, D.,
Mühle, J., Krummel, P. B., Steele, P., Fraser, P. J., Manning, A. J.,
Weiss, R. F., Salameh, P. K., Harth, C. M., Wang, R. H. J., and Prinn, R. G.:
Changing trends and emissions of hydrochlorofluorocarbons (HCFCs) and their
hydrofluorocarbon (HFCs) replacements, Atmos. Chem. Phys., 17, 4641–4655,
<a href="https://doi.org/10.5194/acp-17-4641-2017" target="_blank">https://doi.org/10.5194/acp-17-4641-2017</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib33"><label>SPARC(2013)</label><mixed-citation>
SPARC: SPARC Report on Lifetimes of Stratospheric Ozone-Depleting Substances,
Their Replacements, and Related Species, vol. No. 6, SPARC Office,
available at: <a href="http://www.sparc-climate.org/publications/sparc-reports/" target="_blank">http://www.sparc-climate.org/publications/sparc-reports/</a> (last access: 20 August 2018),
2013.

</mixed-citation></ref-html>
<ref-html id="bib1.bib34"><label>Stein et al.(2015)</label><mixed-citation>
Stein, A. F., Draxler, R. R., Rolph, G. D., Stunder, B. J. B., Cohen, M. D.,
and Ngan, F.: NOAA's HYSPLIT Atmospheric Transport and Dispersion Modeling
System, B. Am. Meteorol. Soc., 96, 2059–2077,
<a href="https://doi.org/10.1175/BAMS-D-14-00110.1" target="_blank">https://doi.org/10.1175/BAMS-D-14-00110.1</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib35"><label>Villani et al.(2010)</label><mixed-citation>
Villani, M. G., Bergamaschi, P., Krol, M., Meirink, J. F., and Dentener, F.:
Inverse modeling of European CH<sub>4</sub> emissions: sensitivity to the
observational network, Atmos. Chem. Phys., 10, 1249–1267,
<a href="https://doi.org/10.5194/acp-10-1249-2010" target="_blank">https://doi.org/10.5194/acp-10-1249-2010</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib36"><label>Vollmer et al.(2006)</label><mixed-citation>
Vollmer, M. K., Reimann, S., Folini, D., Porter, L. W., and Steele, L. P.:
First appearance and rapid growth of anthropogenic HFC-245fa
(CHF<sub>2</sub>CH<sub>2</sub>CF<sub>3</sub>) in the atmosphere, Geophys. Res. Lett., 33, l20806,
<a href="https://doi.org/10.1029/2006GL026763" target="_blank">https://doi.org/10.1029/2006GL026763</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib37"><label>Vollmer et al.(2015)</label><mixed-citation>
Vollmer, M. K., Reimann, S., Hill, M., and Brunner, D.: First Observations of
the Fourth Generation Synthetic Halocarbons HFC-1234yf, HFC-1234ze(E), and
HCFC-1233zd(E) in the Atmosphere, Environ. Sci. Technol., 49, 2703–2708,
<a href="https://doi.org/10.1021/es505123x" target="_blank">https://doi.org/10.1021/es505123x</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib38"><label>Xiang et al.(2014)</label><mixed-citation>
Xiang, B., Patra, P. K., Montzka, S. A., Miller, S. M., Elkins, J. W., Moore,
F. L., Atlas, E. L., Miller, B. R., Weiss, R. F., Prinn, R. G., and Wofsy,
S. C.: Global emissions of refrigerants HCFC-22 and HFC-134a: Unforeseen
seasonal contributions, P. Natl. Acad. Sci. USA, 111, 17379–17384, <a href="https://doi.org/10.1073/pnas.1417372111" target="_blank">https://doi.org/10.1073/pnas.1417372111</a>,
2014.
</mixed-citation></ref-html>--></article>
