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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-18-8389-2018</article-id><title-group><article-title>Influence of the wintertime North Atlantic Oscillation on European tropospheric composition: an observational and modelling study</article-title><alt-title>North Atlantic Oscillation influences on European tropospheric composition</alt-title>
      </title-group><?xmltex \runningtitle{North Atlantic Oscillation influences on European tropospheric composition}?><?xmltex \runningauthor{R.~J.~Pope et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Pope</surname><given-names>Richard J.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Chipperfield</surname><given-names>Martyn P.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-6803-4149</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Arnold</surname><given-names>Stephen R.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Glatthor</surname><given-names>Norbert</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff4">
          <name><surname>Feng</surname><given-names>Wuhu</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-9907-9120</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Dhomse</surname><given-names>Sandip S.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-3854-5383</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Kerridge</surname><given-names>Brian J.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Latter</surname><given-names>Barry G.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-5101-9316</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Siddans</surname><given-names>Richard</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>School of Earth and Environment, University of Leeds, Leeds, UK</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>National Centre for Earth Observation, University of Leeds, Leeds, UK</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Karlsruhe, Germany</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>National Centre for Atmospheric Science, University of Leeds, Leeds, UK</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>Remote Sensing Group, STFC Rutherford Appleton Laboratory, Harwell Oxford, UK</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Richard Pope (r.j.pope@leeds.ac.uk)</corresp></author-notes><pub-date><day>15</day><month>June</month><year>2018</year></pub-date>
      
      <volume>18</volume>
      <issue>11</issue>
      <fpage>8389</fpage><lpage>8408</lpage>
      <history>
        <date date-type="received"><day>2</day><month>December</month><year>2017</year></date>
           <date date-type="rev-request"><day>18</day><month>December</month><year>2017</year></date>
           <date date-type="rev-recd"><day>5</day><month>May</month><year>2018</year></date>
           <date date-type="accepted"><day>23</day><month>May</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/.html">This article is available from https://acp.copernicus.org/articles/.html</self-uri><self-uri xlink:href="https://acp.copernicus.org/articles/.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/.pdf</self-uri>
      <abstract>
    <p id="d1e182">We have used satellite observations and a simulation from the TOMCAT
chemistry transport model (CTM) to investigate the influence of the
well-known wintertime North Atlantic Oscillation (NAO) on European
tropospheric composition. Under the positive phase of the NAO (NAO-high),
strong westerlies tend to enhance transport of European pollution (e.g.
nitrogen oxides, <inline-formula><mml:math id="M1" display="inline"><mml:mrow><mml:msub><mml:mrow class="chem"><mml:mi mathvariant="normal">NO</mml:mi></mml:mrow><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>; carbon monoxide, CO) away from anthropogenic
source regions. In contrast, during the negative phase of the NAO (NAO-low), more stable meteorological conditions lead to a build-up of
pollutants over these regions relative to the wintertime average pollution
levels. However, the secondary pollutant ozone shows the opposite signal of
larger values during NAO-high. NAO-high introduces Atlantic ozone-enriched
air into Europe, while under NAO-low westerly transport of ozone is reduced,
yielding lower values over Europe. Furthermore, ozone concentrations are also
decreased by chemical loss through the reaction with accumulated primary
pollutants such as nitric oxide (NO) in NAO-low. Peroxyacetyl nitrate (PAN)
in the upper troposphere–lower stratosphere (UTLS) peaks over Iceland and
southern Greenland in NAO-low, between 200 and 100 hPa, consistent with the
trapping by an anticyclone at this altitude. Model simulations show that
enhanced PAN over Iceland and southern Greenland in NAO-low is associated
with vertical transport of polluted air from the mid-troposphere into the
UTLS. Overall, this work shows that NAO circulation patterns are an important
governing factor for European wintertime composition and air pollution.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p id="d1e204">Atmospheric circulation can play an important role in the transport and
accumulation of air pollutants from and over source regions (e.g.
<xref ref-type="bibr" rid="bib1.bibx28 bib1.bibx38 bib1.bibx32" id="altparen.1"/>). This is most evident in the Northern
Hemisphere winter–spring when emissions of anthropogenic pollutants (e.g.
nitrogen oxides, <inline-formula><mml:math id="M2" display="inline"><mml:mrow><mml:msub><mml:mrow class="chem"><mml:mi mathvariant="normal">NO</mml:mi></mml:mrow><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, and carbon monoxide, CO) are largest
<xref ref-type="bibr" rid="bib1.bibx13 bib1.bibx43" id="paren.2"/>, slower chemical loss mechanisms (i.e.
photochemistry and reaction with OH) remove less pollution and wintertime
dynamics are enhanced (more intense midlatitude depressions and blocking
systems, <xref ref-type="bibr" rid="bib1.bibx40 bib1.bibx20" id="altparen.3"/>). Over North America, the North
Atlantic and Europe, the wintertime North Atlantic Oscillation (NAO) is one
of the most prominent and frequent modes of atmospheric variability. It
represents the redistribution of atmospheric mass between the Arctic and
subtropical North Atlantic <xref ref-type="bibr" rid="bib1.bibx20" id="paren.4"/> controlling pressure
gradients, wind flows, storm tracks and moisture budgets
<xref ref-type="bibr" rid="bib1.bibx19 bib1.bibx25" id="paren.5"/>. During the NAO positive phase (NAO-high), the
climatological Icelandic low and Azores high-pressure systems both intensify,
leading to enhanced westerly circulation (storm tracks) across the Atlantic
and into north-western Europe. The NAO negative phase (NAO-low) results in a
weakening of this meridional pressure gradient leading to reduced westerly
winds and a reorientation of the storm tracks over southern continental
Europe.</p>
      <?pagebreak page8390?><p id="d1e235"><?xmltex \hack{\newpage}?>Previous studies have used a range of satellite observations and modelling
tools to investigate the impact of NAO circulation patterns on tropospheric
composition. <xref ref-type="bibr" rid="bib1.bibx12" id="text.6"/> composited Global Ozone Monitoring
Experiment (GOME) tropospheric column nitrogen dioxide (<inline-formula><mml:math id="M3" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TCNO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>)
under the wintertime NAO, finding an increase (decrease) of 3–5
(3–7) <inline-formula><mml:math id="M4" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M5" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula> molecules cm<inline-formula><mml:math id="M6" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in the NAO-low (NAO-high)
phase over Scandinavia and eastern Europe (UK and France).
<xref ref-type="bibr" rid="bib1.bibx39" id="text.7"/>, using Atmospheric Infrared Sounder (AIRS) CO at 500 hPa,
found that NAO-high and NAO-low significantly increased (2.5 %) and
decreased (4 %) <inline-formula><mml:math id="M7" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">CO</mml:mi></mml:mrow></mml:math></inline-formula> concentrations over the Nordic countries,
respectively. <xref ref-type="bibr" rid="bib1.bibx9" id="text.8"/> investigated the links between the NAO and
tropospheric ozone from the Total Ozone Mapping Spectrometer – Solar
Backscattered Ultraviolet tropospheric ozone residual (TOR) product
(1979–2000). They found the largest correlations between the NAO and TOR in
spring, where tropospheric ozone is larger by 3–5 DU (0–2 DU) over central and western Europe (Mediterranean)
during the springtime NAO-high (NAO-low). <xref ref-type="bibr" rid="bib1.bibx26" id="text.9"/> found that in
December–January–February (DJF) NAO-high significantly increases (90 %
confidence level) surface ozone by 6–10 ppbv over the UK and northern
Europe, while NAO-low leads to a decrease of 4–10 ppbv. This is indicative
of Atlantic ozone-rich air being transported into Europe under a strong
westerly flow during NAO-high. Under NAO-low, the weaker winds are reoriented
over southern continental Europe aiding the accumulation of primary
pollutants (e.g. nitric oxide, <inline-formula><mml:math id="M8" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">NO</mml:mi></mml:mrow></mml:math></inline-formula>), which acts as a substantial sink
of ozone in winter. <xref ref-type="bibr" rid="bib1.bibx1" id="text.10"/> and <xref ref-type="bibr" rid="bib1.bibx7" id="text.11"/> used
modelled artificial CO and aerosol tracers to find significant negative
(positive) correlations between the NAO meteorological fields and composition
over Europe (Canada). This highlighted the replacement of European pollution
under NAO-high with clean Atlantic air while pollution accumulated over
continental Europe during NAO-low.</p>
      <p id="d1e314">In this study, we aim to better constrain previously investigated
relationships (e.g. NAO–<inline-formula><mml:math id="M9" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TCNO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, <xref ref-type="bibr" rid="bib1.bibx12" id="altparen.12"/>) and quantify
unexplored relationships (e.g. vertical ozone profiles and upper troposphere–lower stratosphere, UTLS; peroxyacetyl nitrate, PAN) between the NAO and
atmospheric composition by utilising recent satellite observations with
higher spatial resolutions, more frequent sampling and smaller uncertainties
(e.g. Ozone Monitoring Instrument (OMI) <inline-formula><mml:math id="M10" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TCNO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) and simulations from the
TOMCAT chemistry transport model (CTM). These tools allow for a more
comprehensive assessment of recent interactions between the NAO and
tropospheric composition, the correlation response between trace gases, the
extent to which the NAO can influence UTLS composition and an understanding
of the key processes governing pollution levels over source regions. Section 2 discusses the observations and model set-up, Sect. 3 describes the links
between satellite-observed or model composition and the NAO, and our discussion
and conclusions are presented in Sects. 4 and 5.</p>
</sec>
<sec id="Ch1.S2">
  <title>Observations and model</title>
<sec id="Ch1.S2.SS1">
  <title>North Atlantic Oscillation Index</title>
      <p id="d1e353"><xref ref-type="bibr" rid="bib1.bibx21" id="text.13"/> define the North Atlantic Oscillation Index (NAOI) as “the
normalised pressure at the southern location (i.e. Gibraltar) minus the
normalised pressure at the Icelandic site (i.e. Reykjavik)”. The 2006–2015
wintertime (November–December–January–February, NDJF) NAOI time series
(normalised by the time-series standard deviation), obtained from the
Climatic Research Unit (CRU), University of East Anglia, is plotted in
Fig. <xref ref-type="fig" rid="Ch1.F1"/>a. Here, significant NAO-high and NAO-low phases occur
when the time series is greater or less than 1.0 and <inline-formula><mml:math id="M11" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1.0 standard
deviations (blue dotted lines), respectively. However, the multiple satellite
records used in this study to assess the composition–circulation
relationships all cover different time periods, so the NAO phases are
determined based on their corresponding NAOI time series. We then compare the
satellite composition–circulation relationships with the model relationships
for the 2006–2015 period. Satellite data also have periods of missing data,
especially in winter, so the season is extended (i.e. includes November) to build up a sizeable
satellite composite for more robust signals.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><caption><p id="d1e369"><bold>(a)</bold> The Climate Research Unit (CRU), University of East
Anglia, wintertime (November–December–January–February, NDJF) normalised
North Atlantic Oscillation Index (NAOI) from 2006 to 2015. Red and blue lines
show the 0 and 1 standard deviation thresholds, where NAOI values outside
this range (<inline-formula><mml:math id="M12" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1.0 to 1.0 SD) are classed as significant phases. Panels
<bold>(b)</bold> and <bold>(c)</bold> show the NAO positive and negative-phase
surface pressure anomalies (ERA-Interim data) relative to the wintertime
average. Panels <bold>(d)</bold> and <bold>(e)</bold> show the same as
<bold>(b)</bold> and <bold>(c)</bold> but for 10 km altitude. Wind vectors are
overplotted for the respective NAO phases and altitudes. Green
polygon-outlined regions highlight significant differences at the 99 %
confidence level based on the Wilcoxon rank test (WRT).</p></caption>
          <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/8389/2018/acp-18-8389-2018-f01.pdf"/>

        </fig>

      <p id="d1e406">Figure <xref ref-type="fig" rid="Ch1.F1"/>b–e show the pressure anomalies relative to the NDJF
2006–2015 average and winds under both NAO phases at the surface and 10 km
derived from European Centre for Medium-Range Weather Forecasts (ECMWF)
ERA-Interim data. Under NAO-high (Fig. <xref ref-type="fig" rid="Ch1.F1"/>b), the Icelandic low
pressure system intensifies by 5–10 hPa at the surface. Over the
subtropical North Atlantic, surface pressure increases by 3–5 hPa, yielding
a stronger meridional Atlantic pressure gradient. Therefore, enhanced
westerly winds (i.e. storm tracks) peaking over 10 m s<inline-formula><mml:math id="M13" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> are
orientated over north-western Europe. Green polygon-outlined regions show
significant differences (99 % confidence level) between NAO composite
pressure and the NDJF average using the Wilcoxon rank test (WRT,
<xref ref-type="bibr" rid="bib1.bibx27" id="altparen.14"/>). NAO-low (Fig. <xref ref-type="fig" rid="Ch1.F1"/>c) shows the opposite
pattern, with significant positive (negative) pressure anomalies of
5–15 hPa over southern Greenland and Iceland (subtropical North Atlantic).
The pressure anomaly reversal yields a weaker meridional pressure gradient,
slower easterly winds (below 10 m s<inline-formula><mml:math id="M14" 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>) between 50 and 60<inline-formula><mml:math id="M15" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and
a southwards shift in the storm tracks. At 10 km, the spatial structure and
significance of the pressure anomalies are similar to the surface but with
smaller absolute differences (i.e. as pressure decreases with altitude). The
more uniform westerly flow (Fig. <xref ref-type="fig" rid="Ch1.F1"/>d) peaks at approximately
40 m s<inline-formula><mml:math id="M16" 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>. Under NAO-low (Fig. <xref ref-type="fig" rid="Ch1.F1"/>e) the 10 km
westerlies are over the subtropical North Atlantic with weakened flow
(approximately 10 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>) over the mid-North Atlantic.</p>
</sec>
<?pagebreak page8391?><sec id="Ch1.S2.SS2">
  <title>Satellite observations</title>
      <p id="d1e486">To investigate the links between tropospheric composition and the NAO, we
have used satellite measurements of <inline-formula><mml:math id="M18" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TCNO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, tropospheric ozone profiles
(and subcolumns, 0–6 km) and UTLS PAN. <inline-formula><mml:math id="M19" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TCNO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> (DOMINO product v2.0;
<xref ref-type="bibr" rid="bib1.bibx2" id="altparen.15"/>) from 2005 to 2015 comes from OMI, on board NASA's
AURA satellite (2004–present), with a sun-synchronous overpass of
approximately 13.30 local time (LT). OMI is nadir viewing with a spectral
range of 270–500 nm and pixel footprint sizes of 16–23 and 24–135 km along
and across track, respectively <xref ref-type="bibr" rid="bib1.bibx4" id="paren.16"/>. A full description of the
OMI <inline-formula><mml:math id="M20" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> retrieval is discussed by <xref ref-type="bibr" rid="bib1.bibx15" id="text.17"/>. Individual
retrievals were screened for poor-data-quality flags, geometric cloud
fraction greater than 0.2 and the OMI row anomalies <xref ref-type="bibr" rid="bib1.bibx5" id="paren.18"/>. We
primarily use OMI <inline-formula><mml:math id="M21" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TCNO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> data as the instrument has a much higher spatial
resolution and sampling than the GOME <inline-formula><mml:math id="M22" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TCNO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> data used by
<xref ref-type="bibr" rid="bib1.bibx12" id="text.19"/>. The OMI <inline-formula><mml:math id="M23" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TCNO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> data are also mapped onto a high-resolution 0.05<inline-formula><mml:math id="M24" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M25" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.05<inline-formula><mml:math id="M26" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>grid using the pixel-slicing
methodology of <xref ref-type="bibr" rid="bib1.bibx31" id="text.20"/>. Therefore, we use OMI to build on the work
of <xref ref-type="bibr" rid="bib1.bibx12" id="text.21"/> and explore whether we can detect a more robust
<inline-formula><mml:math id="M27" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TCNO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>–NAO signal, which is challenging given the short lifetime of
<inline-formula><mml:math id="M28" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>.</p>
      <p id="d1e626">Tropospheric ozone measurements used here are from the Tropospheric Emission
Spectrometer (TES) on board NASA's AURA satellite. TES is an infrared
Fourier transform spectrometer that measures thermal emissions over the
spectral range of 650–2250 cm<inline-formula><mml:math id="M29" 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 has a nadir-viewing footprint of
45 km<inline-formula><mml:math id="M30" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> <xref ref-type="bibr" rid="bib1.bibx35" id="paren.22"/>. TES has peak sensitivity to lower-tropospheric ozone at approximately 850 hPa <xref ref-type="bibr" rid="bib1.bibx42" id="paren.23"/>. The TES data
have also been<?pagebreak page8392?> screened for poor-data-quality flags. Previous studies of the
NAO impacts on ozone have only used satellite tropospheric column data, either
directly or to evaluate model simulations. Therefore, the vertical ozone
profiles retrieved by TES provide the opportunity to better understand the
vertical response of ozone from NAO circulation patterns.</p>
      <p id="d1e656">The Michelson Interferometer for Passive Atmospheric Sounding (MIPAS)
operated on board ESA's ENVISAT satellite between 2002 and 2012, and measured many
trace gases including PAN in the UTLS. ENVISAT was a sun-synchronous
polar-orbiting satellite, which performed 14.4 orbits per day, crossing the
equator at about 10:00 and 22:00 LT. MIPAS was a limb-viewing emission
spectrometer covering the spectral region between 685 and 2410 cm<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>
<xref ref-type="bibr" rid="bib1.bibx16" id="paren.24"/>, which produced up to 1400 profiles each day. The
measurements, in reduced-resolution nominal mode, had 27 tangent altitudes
per limb scan. The lowermost (uppermost) tangent altitudes ranged
approximately from 5 km (70 km) near the poles to 12 km (77 km) at the
equator <xref ref-type="bibr" rid="bib1.bibx41" id="paren.25"/>. Few studies have directly used satellite
measurements of composition to investigate the influence of the NAO on UTLS
trace-gas distributions. This is the first study to use satellite-retrieved
UTLS PAN (from the Karlsruhe Institute for Technology (KIT) – see Supplement), which
has a lifetime of several months <xref ref-type="bibr" rid="bib1.bibx37" id="paren.26"/>, to investigate the impact
of NAO tropospheric circulation patterns on UTLS composition.</p>
      <p id="d1e680">In terms of satellite errors and uncertainties, the random errors are
primarily assessed when compositing different chemical species under the two
NAO phases. When each chemical species is sampled under the NAO phases and
then compared with the seasonal (wintertime) average, the anomalies (i.e.
NAO composite – seasonal average) will be dominated by random errors as the
systematic errors will cancel out considerably. The averaging of daily data will
reduce the random error component by a factor of 1.0 <inline-formula><mml:math id="M32" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M33" display="inline"><mml:msqrt><mml:mi>n</mml:mi></mml:msqrt></mml:math></inline-formula>, where <inline-formula><mml:math id="M34" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>
represents the number of days with high-quality satellite data. For example,
OMI <inline-formula><mml:math id="M35" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TCNO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M36" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula> is typically greater than 20–30 observations per grid cell
southwards of 60<inline-formula><mml:math id="M37" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, while <inline-formula><mml:math id="M38" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula> ranges between 0 and 10 observations
between 60 and 70<inline-formula><mml:math id="M39" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. Therefore, the <inline-formula><mml:math id="M40" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TCNO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> signal is less robust
northwards of 60<inline-formula><mml:math id="M41" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. The random errors in the different species under
both NAO phases is discussed further in the Supplement.
However, over the North Atlantic and western Europe, OMI <inline-formula><mml:math id="M42" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TCNO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> random
errors range between approximately 10 and 40 %. For MIPAS PAN at 150 hPa the
random errors peak at 15–20 % while ranging between 10 and 20 % for TES lower-tropospheric ozone. <xref ref-type="bibr" rid="bib1.bibx3" id="text.27"/>, <xref ref-type="bibr" rid="bib1.bibx17" id="text.28"/> and
<xref ref-type="bibr" rid="bib1.bibx34" id="text.29"/> provided detailed discussion on these product
uncertainties.</p>
</sec>
<sec id="Ch1.S2.SS3">
  <title>TOMCAT 3-D model</title>
      <p id="d1e796">TOMCAT is a three-dimensional (3-D) off-line CTM
(<xref ref-type="bibr" rid="bib1.bibx6" id="altparen.30"/>). ECMWF ERA-Interim meteorological analyses are used
to force the model winds, temperature and humidity <xref ref-type="bibr" rid="bib1.bibx10" id="paren.31"/>. The
standard TOMCAT tropospheric chemistry version uses 82 advected tracers and
229 gas-phase reactions <xref ref-type="bibr" rid="bib1.bibx14" id="paren.32"/>, which includes the extended
tropospheric chemistry (ExTC) scheme <xref ref-type="bibr" rid="bib1.bibx24" id="paren.33"/>. TOMCAT also includes
heterogeneous <inline-formula><mml:math id="M43" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">N</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">5</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> hydrolysis using on-line size-resolved aerosol
from the Global Model of Aerosol Processes (GLOMAP) model <xref ref-type="bibr" rid="bib1.bibx22" id="paren.34"/>.
The model anthropogenic emissions come from the Streets v1.2 inventory, which
is a composite of several regional emissions inventories <xref ref-type="bibr" rid="bib1.bibx14" id="paren.35"/>.
The MACCity inventory <xref ref-type="bibr" rid="bib1.bibx18" id="paren.36"/> is used for the natural emissions
and biomass burning emissions come from the Global Fire Emissions Database
(GFED) v3.1 inventory <xref ref-type="bibr" rid="bib1.bibx33" id="paren.37"/>. The model was initialised in
December 2005, using a restart (initialisation) file from previous
simulations, and run for 2006 to 2015 at the 2.8<inline-formula><mml:math id="M44" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M45" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 2.8<inline-formula><mml:math id="M46" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> spatial resolution <xref ref-type="bibr" rid="bib1.bibx24" id="paren.38"/>. Here, the TOMCAT
simulations help to diagnose the key processes governing the satellite-derived
NAO–composition relationships by providing information (e.g. the
surface) where the satellite instruments cannot detect trace gases and offers
full spatial and temporal data coverage.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><caption><p id="d1e871">Mean Ozone Monitoring Instrument (OMI) tropospheric column <inline-formula><mml:math id="M47" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>
(10<inline-formula><mml:math id="M48" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">15</mml:mn></mml:msup></mml:math></inline-formula> molecules cm<inline-formula><mml:math id="M49" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) averaged between 2005 and 2015 under the
wintertime (NDJF) NAOI. Panel <bold>(a)</bold> is column <inline-formula><mml:math id="M50" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> sampled under the
positive NAO phase, <bold>(b)</bold> is column <inline-formula><mml:math id="M51" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> sampled under the negative NAO
phase, <bold>(c)</bold> shows the column <inline-formula><mml:math id="M52" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> positive NAO phase anomaly relative to
the wintertime average and <bold>(d)</bold> is the column <inline-formula><mml:math id="M53" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> negative NAO phase
anomaly relative to the wintertime average. Green polygon-outlined regions
highlight significant differences at the 95 % confidence level based on the
WRT.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/8389/2018/acp-18-8389-2018-f02.jpg"/>

        </fig>

      <?xmltex \floatpos{p}?><fig id="Ch1.F3" specific-use="star"><caption><p id="d1e971">Michelson Interferometer for Passive Atmospheric Sounding (MIPAS)
peroxyacetyl nitrate (PAN; pptv) averaged between 200 to 100 hPa for
2002–2012. Panel <bold>(a)</bold> shows PAN sampled under the wintertime (NDJF) NAO
positive phase, <bold>(b)</bold> shows PAN sampled under the wintertime NAO negative
phase, <bold>(c)</bold> shows the positive NAO phase anomaly relative to the wintertime
average and <bold>(d)</bold> shows the negative NAO phase anomaly relative to the
wintertime average. Green polygon-outlined regions highlight significant
differences at the 95 % confidence level based on the WRT.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/8389/2018/acp-18-8389-2018-f03.pdf"/>

        </fig>

      <?xmltex \floatpos{p}?><fig id="Ch1.F4" specific-use="star"><caption><p id="d1e995">MIPAS PAN (pptv), 2002–2012, zonally averaged (90<inline-formula><mml:math id="M54" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W to
20<inline-formula><mml:math id="M55" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) for <bold>(a)</bold> the wintertime (NDJF) NAO positive phase, <bold>(b)</bold> the
wintertime NAO negative phase, <bold>(c)</bold> the positive NAO phase anomaly relative to
the wintertime average and <bold>(d)</bold> the negative NAO phase anomaly relative to the
wintertime average. Black hatched regions highlight insignificant
differences at the 95 % confidence level based on the WRT.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/8389/2018/acp-18-8389-2018-f04.pdf"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><caption><p id="d1e1037">Tropospheric Emission Spectrometer (TES) ozone profiles, averaged
over four regions (Zone 1: 48–62<inline-formula><mml:math id="M56" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 12<inline-formula><mml:math id="M57" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W–6<inline-formula><mml:math id="M58" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E; Zone 2: 45–65<inline-formula><mml:math id="M59" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N,
45–65<inline-formula><mml:math id="M60" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W; Zone 3: 40–50<inline-formula><mml:math id="M61" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 10–40<inline-formula><mml:math id="M62" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W; Zone 4:
55–65<inline-formula><mml:math id="M63" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 10–40<inline-formula><mml:math id="M64" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W,), between 2005 and 2011, sampled
under the wintertime (NDJF) NAO positive (red line) and negative (blue line)
phases. Horizontal lines show the satellite uncertainty range, the yellow box
highlights the region of peak TES sensitivity to lower-tropospheric ozone and
the dotted lines show the profile averages are plus or minus their respective
standard deviations. Squares and diamonds show where the ozone profiles
sampled under each NAO phase are significantly different from each other at
the 90 and 95 % confidence levels based on the WRT.</p></caption>
          <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/8389/2018/acp-18-8389-2018-f05.pdf"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><caption><p id="d1e1130">TOMCAT troposphere column <inline-formula><mml:math id="M65" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>
(10<inline-formula><mml:math id="M66" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">15</mml:mn></mml:msup></mml:math></inline-formula> molecules cm<inline-formula><mml:math id="M67" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) averaged between 2006 and 2015 sampled
under the wintertime (NDJF) NAO. Panel <bold>(a)</bold> NAO positive phase,
<bold>(b)</bold> NAO negative phase, <bold>(c)</bold> shows the NAO positive phase
anomaly relative to the wintertime average and <bold>(d)</bold> shows the
negative NAO phase anomaly relative to the wintertime average. Wind vectors
show the horizontal 10 m winds and the red, green and blue contours represent
980, 1000 and 1020 hPa surface pressure. Green polygon-outlined regions
in <bold>(c)</bold> and <bold>(d)</bold> highlight significant differences at the
95 % confidence level based on the WRT.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/8389/2018/acp-18-8389-2018-f06.pdf"/>

        </fig>

</sec>
</sec>
<sec id="Ch1.S3">
  <title>Results</title>
<sec id="Ch1.S3.SS1">
  <title>Observations of tropospheric composition</title>
<sec id="Ch1.S3.SS1.SSS1">
  <title>Nitrogen dioxide</title>
      <?pagebreak page8393?><p id="d1e1207">OMI <inline-formula><mml:math id="M68" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TCNO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> was sampled under the wintertime (November–February) NAO-high (Fig. <xref ref-type="fig" rid="Ch1.F2"/>a) and NAO-low (Fig. <xref ref-type="fig" rid="Ch1.F2"/>b) for
2005–2015. Peak <inline-formula><mml:math id="M69" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TCNO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> concentrations (over
15 <inline-formula><mml:math id="M70" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M71" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">15</mml:mn></mml:msup></mml:math></inline-formula> molecules cm<inline-formula><mml:math id="M72" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) in both phases are over the Po
Valley and the Benelux region. Over the UK, source-region <inline-formula><mml:math id="M73" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TCNO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>
ranges between 7–13 and 6–10 <inline-formula><mml:math id="M74" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M75" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">15</mml:mn></mml:msup></mml:math></inline-formula> molecules cm<inline-formula><mml:math id="M76" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in
NAO-low and NAO-high. We hypothesise that NAO-high-enhanced westerly flow transports
<inline-formula><mml:math id="M77" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> off the UK mainland, as seen by <xref ref-type="bibr" rid="bib1.bibx28" id="text.39"/>, who
investigated the impacts of cyclonic conditions on UK <inline-formula><mml:math id="M78" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TCNO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>.
Figure <xref ref-type="fig" rid="Ch1.F2"/>c supports this, highlighting significant negative
anomalies of <inline-formula><mml:math id="M79" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>4 to <inline-formula><mml:math id="M80" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2 <inline-formula><mml:math id="M81" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M82" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">15</mml:mn></mml:msup></mml:math></inline-formula> molecules cm<inline-formula><mml:math id="M83" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> between
the <inline-formula><mml:math id="M84" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TCNO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> NAO-high composite and 11-year wintertime average.
Significant anomalies, shown in the green polygon-outlined regions, are based
on the WRT at the 95 % confidence level and where composite and
wintertime averages <inline-formula><mml:math id="M85" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> their respective random errors <xref ref-type="bibr" rid="bib1.bibx29" id="paren.40"/> do
not overlap. Systematic errors will cancel when differencing the two
<inline-formula><mml:math id="M86" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TCNO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> composites. NAO-low reduces westerly flow across Europe and
might be expected to aid <inline-formula><mml:math id="M87" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TCNO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> accumulation, but there is actually
little change in the anomaly field (Fig. <xref ref-type="fig" rid="Ch1.F2"/>d). Only the Benelux
region (3–5 <inline-formula><mml:math id="M88" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M89" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">15</mml:mn></mml:msup></mml:math></inline-formula> molecules cm<inline-formula><mml:math id="M90" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) and North Sea
(<inline-formula><mml:math id="M91" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2.0 to <inline-formula><mml:math id="M92" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1.0 <inline-formula><mml:math id="M93" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M94" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">15</mml:mn></mml:msup></mml:math></inline-formula> molecules cm<inline-formula><mml:math id="M95" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) show
significant anomalies linked to <inline-formula><mml:math id="M96" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> accumulation and reduced
transport off the UK mainland.</p>
</sec>
<sec id="Ch1.S3.SS1.SSS2">
  <title>Peroxyacetyl nitrate</title>
      <p id="d1e1509">The MIPAS PAN 200–100 hPa average volume mixing ratio, sampled under NAO-high
(NDJF) between 2002 and 2012 (Fig. <xref ref-type="fig" rid="Ch1.F3"/>a), shows peak (minimum) PAN
concentrations of 50–55 (10–20) pptv in the subtropical North Atlantic (over
Newfoundland and the Canadian Arctic). During NAO-low (Fig. <xref ref-type="fig" rid="Ch1.F3"/>b), PAN concentrations are lower over the subtropical
Atlantic but slightly larger over Newfoundland and the Canadian Arctic between
25 and 40 pptv. PAN concentrations are also larger (approximately 40 pptv) over
Iceland, southern Greenland and the Denmark Strait, leaving a spatially prominent
feature. MIPAS-derived tropopause height (see Supplement) peaks at 11 km in this
region, while it is only 9–10 km in the surrounding area (excluding the
subtropical North Atlantic). There is also an increase in pressure and
convergence of winds over this region (Fig. <xref ref-type="fig" rid="Ch1.F1"/>d), potentially
highlighting the impact of NAO-low vertical transport of PAN into the UTLS;
this is investigated further using TOMCAT (see Sect. <xref ref-type="sec" rid="Ch1.S3.SS2.SSS2"/>). In Fig. <xref ref-type="fig" rid="Ch1.F3"/>c under NAO-high, peak
significant anomalies of 5–15 pptv occur over the subtropical Atlantic and
north-eastern Arctic region (top right of the domain). There are also
significant negative anomalies (<inline-formula><mml:math id="M97" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>15 to <inline-formula><mml:math id="M98" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>5 pptv) over the Québec region.
Significant anomalies are based on the WRT (95 % confidence level) and where
the NAO composite and the wintertime averages plus or minus their uncertainty ranges
do not overlap. Over Iceland and Greenland (subtropical North Atlantic and
Europe), there are positive (negative) anomalies of 5–15 (<inline-formula><mml:math id="M99" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>5 to <inline-formula><mml:math id="M100" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1) pptv in
NAO-low.</p>
      <?pagebreak page8395?><p id="d1e1551">Figure <xref ref-type="fig" rid="Ch1.F4"/> shows the zonally averaged (90–20<inline-formula><mml:math id="M101" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E)
vertical profiles of MIPAS PAN under the two NAO phases. Peak PAN
concentrations at 300–250 hPa range between 100 and 130 pptv in both phases
but are larger in NAO-low between 30 and 50<inline-formula><mml:math id="M102" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N by 10–20 pptv. However,
northwards of 70<inline-formula><mml:math id="M103" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, PAN concentrations between 225 and 100 hPa tend
to be larger under NAO-high conditions. Figure <xref ref-type="fig" rid="Ch1.F4"/>c shows the
NAO-high zonal anomalies relative to the wintertime average (hatched
anomalies are insignificant based on the WRT – 95 % confidence level).
Northwards of 50<inline-formula><mml:math id="M104" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, significant positive anomalies (5–15 pptv) exist
between 300 and 125 hPa. MIPAS-derived tropopause height under NAO-high (see Supplement)
is typically higher than in NAO-low over the North Atlantic and Europe by 1–2 km. The higher tropopause signifies enhanced vertical transport, which in
this case is the propagation of polluted air masses (i.e. large PAN content)
from further down in the troposphere into the UTLS. Southwards of
50<inline-formula><mml:math id="M105" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, positive anomalies occur between 200 and 100 hPa, while negative
anomalies are found between 300 and 250 hPa. Under NAO-low conditions (Fig. <xref ref-type="fig" rid="Ch1.F4"/>d), there are significant positive anomalies (5–15 pptv) at
300–275 hPa between 30 and 90<inline-formula><mml:math id="M106" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, and they reach up to 125 hPa at
60–80<inline-formula><mml:math id="M107" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N coinciding with peak PAN concentrations over Iceland in
Fig. <xref ref-type="fig" rid="Ch1.F3"/>b. Significant negative anomalies (<inline-formula><mml:math id="M108" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>5 to <inline-formula><mml:math id="M109" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1 pptv) exist
at 225–50 hPa, which coincides with the negative anomalies in Fig. <xref ref-type="fig" rid="Ch1.F3"/>d over the subtropical Atlantic. Between 30 and 50<inline-formula><mml:math id="M110" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N,
there is an altitude anomaly dipole reversal with NAO-high showing
significant positive (negative) anomalies at 200–100 hPa (300–250 hPa) and
NAO-low highlighting significant positive (negative) anomalies at 300–275 hPa
(225–50 hPa). These patterns are linked to changes to regional circulation
patterns under the different NAO phases and will be explored further using
TOMCAT in Sect. <xref ref-type="sec" rid="Ch1.S3.SS2.SSS2"/>.</p>
</sec>
<sec id="Ch1.S3.SS1.SSS3">
  <title>Ozone</title>
      <p id="d1e1660">Figure <xref ref-type="fig" rid="Ch1.F5"/> shows TES vertical profiles averaged over four regions
(Zones 1–4) covering the North Atlantic between 2005 and 2011, which were sampled
during significant wintertime (November–February) NAO events. These four
domains are selected because TES has infrequent spatial sampling
<xref ref-type="bibr" rid="bib1.bibx34" id="paren.41"/> meaning spatial ozone distributions are often
noisy or unclear. In Zone 1 (UK), TES ozone sampled under NAO-high (red line) is
significantly larger (90 % – squares and 95 % – diamonds) than in NAO-low
(blue line) by 3–4 ppbv throughout the region of peak sensitivity (900–650 hPa – yellow box). Similar patterns exist in surface ozone measurements from
the UK Automatic Urban and Rural Network (AURN, <xref ref-type="bibr" rid="bib1.bibx11" id="altparen.42"/>). Under
NAO-high, surface ozone concentrations were significantly higher than in
NAO-low by 5–10 <inline-formula><mml:math id="M111" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math id="M112" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> across the UK (see Supplement). The opposite is true
for AURN surface <inline-formula><mml:math id="M113" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> where concentrations across the UK are lower by
5–10 <inline-formula><mml:math id="M114" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math id="M115" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in NAO-high. This supports the hypothesis that NAO-high
increases (decreases) ozone concentrations over western Europe<?pagebreak page8396?> (western
Atlantic) through enhanced westerly transport of ozone and dispersion of
other species involved in its removal (e.g. NO) over Europe. Zone 2
(Newfoundland) has the opposite signal whereby the NAO-low ozone profile is
significantly (95 %) larger than the NAO-high profile by 2–4 ppbv. Again,
this is potentially linked to enhanced westerly ozone transport across the
Atlantic towards Europe during NAO-high. In Zone 3 (North Atlantic), there
are insignificant differences at approximately 900 hPa. However, ozone is
significantly greater under NAO-low between 875 and 350 hPa. There are
insignificant differences in Zone 4 ozone up to 600 hPa, but NAO-high ozone
is significantly larger above this altitude.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><caption><p id="d1e1723">TOMCAT surface <inline-formula><mml:math id="M116" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> (ppbv) averaged between 2006 and 2015
sampled under the wintertime (NDJF) NAO. Panel <bold>(a)</bold> NAO positive phase, <bold>(b)</bold> NAO
negative phase, <bold>(c)</bold> shows the NAO positive phase anomaly relative to the
wintertime average and <bold>(d)</bold> shows the negative NAO phase anomaly relative to
the wintertime average. Wind vectors show the horizontal 10m winds and the
red, green and blue contours represent 980, 1000 and 1020 hPa. Green
polygon-outlined regions in <bold>(c)</bold> and <bold>(d)</bold> highlight significant differences at the 95 %
confidence level based on the WRT.</p></caption>
            <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/8389/2018/acp-18-8389-2018-f07.pdf"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><caption><p id="d1e1764">TOMCAT <inline-formula><mml:math id="M117" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> (ppbv) cross section at 0<inline-formula><mml:math id="M118" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E averaged
between 2006 and 2015 sampled under the wintertime (NDJF) NAO. <bold>(a)</bold> NAO
positive phase, <bold>(b)</bold> NAO negative phase, <bold>(c)</bold> shows the NAO positive phase
anomaly relative to the wintertime average and <bold>(d)</bold> shows the negative NAO
phase anomaly relative to the wintertime average. Green dashed lines
represents the dynamical tropopause. Wind vectors represent the cross section
(0<inline-formula><mml:math id="M119" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) meridional and vertical (scaled by 10<inline-formula><mml:math id="M120" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msup></mml:math></inline-formula>) winds.</p></caption>
            <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/8389/2018/acp-18-8389-2018-f08.pdf"/>

          </fig>

      <?xmltex \floatpos{p}?><fig id="Ch1.F9" specific-use="star"><caption><p id="d1e1827">TOMCAT surface PAN (pptv) averaged between 2006 and 2015 sampled
under the wintertime (NDJF) NAO. Panel <bold>(a)</bold> NAO positive phase, <bold>(b)</bold> NAO
negative phase, <bold>(c)</bold> shows the NAO positive phase anomaly relative to the
wintertime average and <bold>(d)</bold> shows the negative NAO phase anomaly relative to
the wintertime average. Wind vectors show the horizontal 10 m winds and the
red, green and blue contours represent 980, 1000 and 1020 hPa surface
pressure. Green polygon-outlined regions in <bold>(c)</bold> and <bold>(d)</bold> highlight significant
differences at the 95 % confidence level based on the WRT.</p></caption>
            <?xmltex \igopts{width=361.35pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/8389/2018/acp-18-8389-2018-f09.pdf"/>

          </fig>

      <?xmltex \floatpos{p}?><fig id="Ch1.F10" specific-use="star"><caption><p id="d1e1857">TOMCAT PAN (pptv) averaged between 200 to 100 hPa for 2006–2015
sampled under the wintertime (NDJF) NAO. Panel <bold>(a)</bold> NAO positive phase, <bold>(b)</bold> NAO
negative phase, <bold>(c)</bold> shows the NAO positive phase anomaly relative to the
wintertime average and <bold>(d)</bold> shows the negative NAO phase anomaly relative to
the wintertime average. Wind vectors show the horizontal 200–100 hPa winds.
Green polygon-outlined regions in <bold>(c)</bold> and <bold>(d)</bold> highlight significant differences at
the 95 % confidence level based on the WRT.</p></caption>
            <?xmltex \igopts{width=361.35pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/8389/2018/acp-18-8389-2018-f10.pdf"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F11" specific-use="star"><caption><p id="d1e1887">TOMCAT zonally averaged (90<inline-formula><mml:math id="M121" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W to 20<inline-formula><mml:math id="M122" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) PAN (pptv)
between 2006 and 2015 sampled under the wintertime (NDJF) NAO. Panel <bold>(a)</bold> NAO
positive phase, <bold>(b)</bold> NAO negative phase, <bold>(c)</bold> shows the NAO positive phase
anomaly relative to the wintertime average and <bold>(d)</bold> shows the negative NAO
phase anomaly relative to the wintertime average. Green dashed lines
represents the dynamical tropopause. Wind vectors represent the zonally
averaged (90<inline-formula><mml:math id="M123" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W to 20<inline-formula><mml:math id="M124" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) meridional and vertical (scaled by
10<inline-formula><mml:math id="M125" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msup></mml:math></inline-formula>) winds.</p></caption>
            <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/8389/2018/acp-18-8389-2018-f11.pdf"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F12" specific-use="star"><caption><p id="d1e1956">TOMCAT surface ozone (ppbv) averaged between 2006 and 2015 sampled
under the wintertime (NDJF) NAO. Panel <bold>(a)</bold> NAO positive phase, <bold>(b)</bold> NAO
negative phase, <bold>(c)</bold> shows the NAO positive phase anomaly relative to the
wintertime average and <bold>(d)</bold> shows the negative NAO phase anomaly relative to
the wintertime average. Wind vectors show the horizontal 10 m winds and the
red, green and blue contours represent 980, 1000 and 1020 hPa surface
pressure. Green polygon-outlined regions in <bold>(c)</bold> and <bold>(d)</bold> highlight significant
differences at the 95 % confidence level based on the WRT.</p></caption>
            <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/8389/2018/acp-18-8389-2018-f12.pdf"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F13" specific-use="star"><caption><p id="d1e1987">TOMCAT ozone (ppbv) averaged between 200 and 100 hPa for 2006–2015
sampled under the wintertime (NDJF) NAO. Panel <bold>(a)</bold> NAO positive phase, <bold>(b)</bold> NAO
negative phase, <bold>(c)</bold> represents the NAO positive phase anomaly relative to the
wintertime average and <bold>(d)</bold> represents the negative NAO phase anomaly relative
to the wintertime average. Wind vectors show the horizontal 200–100 hPa
winds. Green polygon-outlined regions in <bold>(c)</bold> and <bold>(d)</bold> highlight significant
differences at the 95 % confidence level based on the WRT.</p></caption>
            <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/8389/2018/acp-18-8389-2018-f13.pdf"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F14" specific-use="star"><caption><p id="d1e2017">TOMCAT ozone (ppbv) cross section at 0<inline-formula><mml:math id="M126" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E averaged between
2006 and 2015 sampled under the wintertime (NDJF) NAO. Panel <bold>(a)</bold> NAO positive
phase, <bold>(b)</bold> NAO negative phase, <bold>(c)</bold> shows the NAO positive phase anomaly
relative to the wintertime average and <bold>(d)</bold> shows the negative NAO phase
anomaly relative to the wintertime average. Green dashed lines represents
the dynamical tropopause. Wind vectors represent the cross section
(0<inline-formula><mml:math id="M127" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) meridional and vertical (scaled by 10<inline-formula><mml:math id="M128" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msup></mml:math></inline-formula>) winds.</p></caption>
            <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/8389/2018/acp-18-8389-2018-f14.pdf"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F15" specific-use="star"><caption><p id="d1e2068">TOMCAT ozone (ppbv) cross section at 56.25<inline-formula><mml:math id="M129" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W averaged
between 2006 and 2015 sampled under the wintertime (NDJF) NAO. Panel <bold>(a)</bold> NAO
positive phase, <bold>(b)</bold> NAO negative phase, <bold>(c)</bold> shows the NAO positive phase
anomaly relative to the wintertime average and <bold>(d)</bold> shows the negative NAO
phase anomaly relative to the wintertime average. Green dashed lines
represents the dynamical tropopause. Wind vectors represent the cross section
(56.25<inline-formula><mml:math id="M130" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W) meridional and vertical (scaled by 10<inline-formula><mml:math id="M131" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msup></mml:math></inline-formula>) winds.</p></caption>
            <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/8389/2018/acp-18-8389-2018-f15.pdf"/>

          </fig>

</sec>
</sec>
<sec id="Ch1.S3.SS2">
  <title>Model results</title>
      <p id="d1e2124">TOMCAT has been evaluated in multiple studies (e.g.
<xref ref-type="bibr" rid="bib1.bibx24 bib1.bibx35" id="altparen.43"/>) for <inline-formula><mml:math id="M132" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, PAN and ozone, which are
discussed in detail in the Supplement. We also have evaluated TOMCAT
surface and tropospheric ozone against a range of observations covering western
Europe and the North Atlantic. In all cases, TOMCAT can suitably
represent these chemical tracers and their responses to the NAO circulation
patterns (see Supplement).</p>
<sec id="Ch1.S3.SS2.SSS1">
  <title>Nitrogen dioxide</title>
      <?pagebreak page8397?><p id="d1e2146">In NAO-high and NAO-low (Fig. <xref ref-type="fig" rid="Ch1.F6"/>a and b), where TOMCAT has been
sampled under the NAO phases in Fig. <xref ref-type="fig" rid="Ch1.F1"/>a, the model <inline-formula><mml:math id="M133" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TCNO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>
over western Europe ranges between 3 and 9 <inline-formula><mml:math id="M134" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M135" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">15</mml:mn></mml:msup></mml:math></inline-formula> molecules cm<inline-formula><mml:math id="M136" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
and 6 to over 10 <inline-formula><mml:math id="M137" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M138" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">15</mml:mn></mml:msup></mml:math></inline-formula> molecules cm<inline-formula><mml:math id="M139" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. Over the UK, NAO-high-enhanced westerly flow transports
<inline-formula><mml:math id="M140" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> off the mainland (Fig. <xref ref-type="fig" rid="Ch1.F6"/>c) with significant negative
anomalies of <inline-formula><mml:math id="M141" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2.0 to <inline-formula><mml:math id="M142" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.5 <inline-formula><mml:math id="M143" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M144" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">15</mml:mn></mml:msup></mml:math></inline-formula> molecules cm<inline-formula><mml:math id="M145" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> relative to
the wintertime average. OMI <inline-formula><mml:math id="M146" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TCNO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> has a similar NAO-high UK signal
(<xref ref-type="fig" rid="Ch1.F2"/>c), but it is less spatially extensive and does not cover as
much of continental Europe. In NAO-low, OMI (Fig. <xref ref-type="fig" rid="Ch1.F2"/>d) only
shows accumulation of <inline-formula><mml:math id="M147" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TCNO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> over the Benelux region, while TOMCAT
(positive anomalies over 1.5 <inline-formula><mml:math id="M148" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M149" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">15</mml:mn></mml:msup></mml:math></inline-formula> molecules cm<inline-formula><mml:math id="M150" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)
accumulates <inline-formula><mml:math id="M151" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TCNO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> over all of continental Europe (Fig. <xref ref-type="fig" rid="Ch1.F6"/>d). Potential reasons for model-satellite NAO-low anomaly
differences (Fig. <xref ref-type="fig" rid="Ch1.F2"/>d and <xref ref-type="fig" rid="Ch1.F6"/>d) included the following. (1) As OMI
has peak retrieval sensitivity in the middle–upper troposphere it potentially
underestimates the full <inline-formula><mml:math id="M152" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TCNO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> under NAO-low conditions when the more
stable conditions trap <inline-formula><mml:math id="M153" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> in the boundary layer. (2) The model <inline-formula><mml:math id="M154" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>
lifetime in the NAO-low composite is potentially longer than the satellite
equivalent as it represents all-sky conditions, while the satellite composite
represents clear-sky conditions only (i.e. more photochemical loss of
<inline-formula><mml:math id="M155" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>).</p>
      <p id="d1e2395">At the surface, TOMCAT surface <inline-formula><mml:math id="M156" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> ranges between 0–6 and
2–8 ppbv in NAO-high and NAO-low. TOMCAT does have a
systematic surface <inline-formula><mml:math id="M157" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> low bias against surface observations (see
Supplement), but this systematic offset is removed when considering anomalies
(Fig. <xref ref-type="fig" rid="Ch1.F8"/>c and d) relative to the wintertime average. TOMCAT
surface anomalies typically have similar spatial patterns to the TOMCAT
<inline-formula><mml:math id="M158" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TCNO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, but they are less spatially extensive. Under the NAO-high,
there are significant negative (positive) anomalies of <inline-formula><mml:math id="M159" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.5 (0.2) ppbv over
the UK (North Sea), highlighting the westerly transport of <inline-formula><mml:math id="M160" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> off
the UK mainland. Under NAO-low, significant positive anomalies (0.0 to 1.0 ppbv) highlight the accumulation of <inline-formula><mml:math id="M161" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> from reduced westerly flow
across the UK. This is consistent with the AURN results presented in the Supplement.
The model also shows a significant anomaly dipole over Scandinavia which
reverses between phases. This, in combination with the reduced spatial impact
on surface <inline-formula><mml:math id="M162" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> compared with the tropospheric pattern, implies that
processes above the surface also influence the response of the tropospheric
<inline-formula><mml:math id="M163" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> distribution to the NAO.</p>
      <p id="d1e2485">Figure <xref ref-type="fig" rid="Ch1.F8"/> shows the TOMCAT <inline-formula><mml:math id="M164" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> meridional vertical
cross section at 0<inline-formula><mml:math id="M165" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E. Between 35 and 60<inline-formula><mml:math id="M166" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N TOMCAT simulates
<inline-formula><mml:math id="M167" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> concentrations above 1.0 ppbv from 1000 hPa to 900 (850) hPa in
NAO-high (NAO-low). Negative anomalies (under <inline-formula><mml:math id="M168" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.05 ppbv) relative to the
wintertime average from 1000 to 900 hPa at 50<inline-formula><mml:math id="M169" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N (Fig. <xref ref-type="fig" rid="Ch1.F8"/>c), show the enhanced NAO-high westerly flow transporting
<inline-formula><mml:math id="M170" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> throughout the boundary layer away from UK source regions. This
<inline-formula><mml:math id="M171" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> is transported into the North Sea, yielding positive anomalies of 0.02 ppbv northwards of 55<inline-formula><mml:math id="M172" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N with vertical ascent into the
mid-troposphere (approximately 600–700 hPa at 60–70<inline-formula><mml:math id="M173" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N). Under
NAO-low (Fig. <xref ref-type="fig" rid="Ch1.F8"/>d), there are positive (above 0.05 pptv)
anomalies between 35 and 65<inline-formula><mml:math id="M174" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N as the weakened meridional winds have a
southerly flow with ascent (descent) at 65 (40)<inline-formula><mml:math id="M175" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. This highlights
reduced <inline-formula><mml:math id="M176" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> transport from the climatological westerlies aiding
accumulation in the lower troposphere (1000–700 hPa). Therefore, processes
throughout the lower troposphere over the UK are important in governing the
tropospheric column burden during the two NAO phases.</p>
</sec>
<?pagebreak page8398?><sec id="Ch1.S3.SS2.SSS2">
  <title>Peroxyacetyl nitrate</title>
      <p id="d1e2627">At the surface, although PAN has lower concentrations
than <inline-formula><mml:math id="M177" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> in source regions, it has a longer lifetime resulting in more
significant responses to the seasonal average under the different NAO phases.
Under NAO-high (Fig. <xref ref-type="fig" rid="Ch1.F9"/>a), TOMCAT surface PAN peaks between
200 and 220 pptv over the western Atlantic. Over Europe, PAN ranges between
150 and 170 pptv as, like <inline-formula><mml:math id="M178" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, enhanced westerly flow transports PAN away
from western European source regions, replacing it with cleaner subtropical
North Atlantic air (100–150 pptv). Through reduced transport, NAO-low
conditions aid pollutant accumulation over continental Europe with PAN
concentrations of 190 to over 300 pptv. The NAO-high TOMCAT PAN anomalies
(Fig. <xref ref-type="fig" rid="Ch1.F9"/>c) relative to the wintertime average highlight
reduced concentrations of <inline-formula><mml:math id="M179" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>50 to <inline-formula><mml:math id="M180" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>20 pptv over continental Europe, while in
the western North Atlantic there are no significant anomalies. This infers
similar transport processes to the wintertime average, resulting in minimal
PAN changes, yet NAO-low (Fig. <xref ref-type="fig" rid="Ch1.F9"/>d) weakens or reverses the
winds, yielding significant negative anomalies of <inline-formula><mml:math id="M181" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>20 to <inline-formula><mml:math id="M182" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>10 pptv. Therefore,
westerly flow, similar under NAO-high and average wintertime conditions,
aids the long-range transport of PAN from North America. As NAO-low
interrupts this transport pathway, there is a significant decrease in
background PAN.</p>
      <?pagebreak page8400?><p id="d1e2687">We now investigate whether TOMCAT reproduces the MIPAS UTLS PAN patterns
under the NAO phases, despite the slightly different time periods. Previous
studies (e.g. <xref ref-type="bibr" rid="bib1.bibx14 bib1.bibx30" id="altparen.44"/>) have shown that TOMCAT PAN
compares reasonably well with aircraft observations, but there is a
systematic difference between TOMCAT and KIT MIPAS PAN (see Supplement). Therefore,
we primarily focus on the anomalies relative to the wintertime average
under the NAO phases, as this systemic difference is removed. TOMCAT PAN
200–100 hPa average peaks (over 50 pptv) in NAO-high over the western
subtropical North Atlantic (Fig. <xref ref-type="fig" rid="Ch1.F10"/>a). The south-westerly flow
(approximately 30 m s<inline-formula><mml:math id="M183" 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 this altitude transports PAN across the
Atlantic,
reaching 35 pptv over Iberia. However, at approximately 0<inline-formula><mml:math id="M184" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, a
southerly shift in the winds over the Mediterranean leads to lower
continental Europe PAN concentrations (20–30 pptv). Northwards of
70<inline-formula><mml:math id="M185" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, the flow (20–30 m s<inline-formula><mml:math id="M186" 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> ) accumulates PAN over the Arctic region
(20–24 pptv). Similar spatial patterns are seen in MIPAS with peak PAN
concentrations over the western subtropical Atlantic, minimum PAN over
Canada and Hudson Bay and elevated PAN in the Arctic region. However, MIPAS PAN
absolute concentrations are systematically higher than TOMCAT (see Supplement).
Vertical transport will also have an important impact on NAO-high, as
signified by the higher MIPAS-derived tropopause height (see Supplement), with
propagation of polluted air masses from the lower troposphere into the
UTLS. In NAO-low, peak PAN (over 40 ppbv) occurs in the subtropical Atlantic
where the winds are predominately zonal (westerly), yielding lower PAN
concentrations (15–25 pptv) over the mid-North Atlantic. Continental Europe
PAN concentrations decrease (10–20 pptv), as north-westerly flow
transports cleaner Arctic air masses into the region. PAN accumulation over
Iceland and southern Greenland (25 ppbv) correlates with the large UTLS
pressure increase shown in Fig. <xref ref-type="fig" rid="Ch1.F1"/>d. Figure <xref ref-type="fig" rid="Ch1.F10"/>d
highlights the significant enhancement of PAN over Iceland and southern Greenland
with positive anomalies relative to the wintertime average of 5–10 pptv.
Again, the MIPAS-derived tropopause height in NAO-low peaks in this region
(approximately 11 km – see Supplement) suggesting sufficiently strong vertical
transport of tropospheric air masses. In NAO-low, as the strong westerly flow
in NAO-high (Fig. <xref ref-type="fig" rid="Ch1.F10"/>b) has shifted equatorwards, there are
significant negative anomalies under <inline-formula><mml:math id="M187" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>15 pptv across the North Atlantic,
which match the MIPAS equivalent in Fig. <xref ref-type="fig" rid="Ch1.F3"/>d. There are some
similarities between the TOMCAT (Fig. <xref ref-type="fig" rid="Ch1.F10"/>c) and MIPAS (Fig. <xref ref-type="fig" rid="Ch1.F3"/>c) NAO-high PAN anomalies with increased PAN in the eastern
Arctic. However, TOMCAT simulates positive anomalies (0–5 pptv) over the
North Atlantic between 35 and 45<inline-formula><mml:math id="M188" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, while MIPAS has significant positive
anomalies of 10 pptv. TOMCAT also simulates significant negative anomalies
over the UK and the eastern North Atlantic, which are not observed by MIPAS.
Therefore, the model results only allow for limited assessment of the NAO
influence of UTLS PAN in NAO-high over these regions.</p>
      <p id="d1e2767">Figure <xref ref-type="fig" rid="Ch1.F11"/> shows the zonal average (90<inline-formula><mml:math id="M189" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W–20<inline-formula><mml:math id="M190" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E)
meridional-vertical TOMCAT PAN distribution under both NAO phases. Between
1000 and 600 hPa, PAN concentrations are above 200 pptv apart from in the
region 30–40<inline-formula><mml:math id="M191" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. From 400 to 200 hPa, there is a sharp PAN decrease to
less than 30 pptv. The vertical PAN profile between 30 and 40<inline-formula><mml:math id="M192" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N differs
from other latitude bands, with PAN peaking at 150–200 pptv from 1000 to 700 hPa
and then from 60–100 pptv up to 200 hPa. Between 200 and 100 hPa, PAN concentrations
(30–60 pptv) are larger than other latitude bands linked to the higher
tropopause (also observed by MIPAS – see Supplement). The significant decreases in
surface PAN over Europe from NAO-high enhanced westerly flow (Fig. <xref ref-type="fig" rid="Ch1.F9"/>c) occur throughout the troposphere, with negative zonal
anomalies of <inline-formula><mml:math id="M193" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>10 to <inline-formula><mml:math id="M194" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>3 pptv (Fig. <xref ref-type="fig" rid="Ch1.F11"/>c). Above the tropopause
(dashed green line), strong vertical (winds are scaled by 10<inline-formula><mml:math id="M195" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">4<?pagebreak page8401?></mml:mn></mml:msup></mml:math></inline-formula> for
clarity) meridional transport accumulates PAN (positive anomalies over 10 pptv) in the Arctic UTLS. Under NAO-low (Fig. <xref ref-type="fig" rid="Ch1.F11"/>d), there are
positive (5–10 pptv) and negative (<inline-formula><mml:math id="M196" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>10 to <inline-formula><mml:math id="M197" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>5 pptv) anomalies between 30–50
and 60–90<inline-formula><mml:math id="M198" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N throughout the troposphere. The surface patterns (Fig. <xref ref-type="fig" rid="Ch1.F9"/>d), where reduced transport aids PAN accumulation over Europe,
appear to account for this zonal tropospheric pattern. Between
30 and 50<inline-formula><mml:math id="M199" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, there is limited meridional flow aiding PAN accumulation
over Europe in NAO-low. The vertical flow contributes to positive anomalies
(3–5 pptv) propagating into the UTLS, which is consistent with the PAN accumulation shown
in Fig. <xref ref-type="fig" rid="Ch1.F10"/>d between 50 and 70<inline-formula><mml:math id="M200" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N.</p>
</sec>
<sec id="Ch1.S3.SS2.SSS3">
  <title>Ozone</title>
      <p id="d1e2891">TOMCAT surface ozone under NAO-high (Fig. <xref ref-type="fig" rid="Ch1.F12"/>a) peaks at
approximately 28–30 ppbv over the subtropical and western North Atlantic
co-located with the enhanced westerlies. Over continental Europe, ozone
concentrations are significantly larger (1–2 ppbv – Fig. <xref ref-type="fig" rid="Ch1.F12"/>c)
than the wintertime average, ranging between 16 and 25 ppbv. This matches a
similar pattern in the observations: AURN surface ozone was significantly
higher over the UK under NAO-high than NAO-low (see Supplement),
and TES lower-tropospheric ozone (Zone 1, Fig. <xref ref-type="fig" rid="Ch1.F5"/>) was larger under NAO-high.
In Zone 2, TES lower-tropospheric ozone was higher under NAO-low, which
correlates with the surface TOMCAT pattern. <xref ref-type="bibr" rid="bib1.bibx26" id="text.45"/> found similar
patterns with significant positive (negative) correlations over Europe
(western North Atlantic) between surface ozone and the NAOI in DJF. Under
NAO-low conditions, TOMCAT ozone concentrations are consistent across the
North Atlantic (28–30 ppbv) as the weakened or reversed westerlies limit the
transport of ozone-enriched Atlantic into Europe yielding lower
concentrations of 13–20 ppbv. Over the western North Atlantic (Europe), ozone
concentrations (Fig. <xref ref-type="fig" rid="Ch1.F12"/>d) have increased (decreased) with
significant positive (negative) anomalies of 2–3 ppbv (<inline-formula><mml:math id="M201" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>3 to <inline-formula><mml:math id="M202" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1 pptv). Again,
<xref ref-type="bibr" rid="bib1.bibx26" id="text.46"/> presented similar results which also match TES and AURN
ozone observations (see Supplement). TOMCAT tropospheric column ozone (not shown
here) also showed similar anomalies.</p>
      <p id="d1e2923">At the surface, the PAN and <inline-formula><mml:math id="M203" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> spatial anomalies are anti-correlated
with ozone, so UTLS ozone (Fig. <xref ref-type="fig" rid="Ch1.F13"/>) was investigated to see if
this relationship was consistent at higher altitudes. TOMCAT 200–100 hPa
average ozone, sampled under NAO-high, ranges from 800 to 1000 ppbv northwards of 60<inline-formula><mml:math id="M204" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N but decreases towards the subtropical North
Atlantic<?pagebreak page8402?> with minimum concentrations of 150–200 ppbv. A similar pattern
occurs under NAO-low except for the ozone-reduced air mass (500–700 pptv),
stretching from approximately 45 to 65<inline-formula><mml:math id="M205" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N along 15–45<inline-formula><mml:math id="M206" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W. Higher
ozone concentrations (800–1000 ppbv) also propagate further south in NAO-low
on either side of the Atlantic, surrounding the reduced ozone limb. The UTLS
ozone anomalies (Fig. <xref ref-type="fig" rid="Ch1.F13"/>c and d) are also anti-correlated with
the PAN. Whereas PAN has positive anomalies across the Atlantic basin in
NAO-high, there are significant negative ozone anomalies (under <inline-formula><mml:math id="M207" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>100 ppbv).
This anti-correlation is also prominent under NAO-low, where significant
TOMCAT ozone anomalies (50–200 ppbv) exist over the mid-North Atlantic and
Europe but are significantly negative for PAN. As shown in Figs. <xref ref-type="fig" rid="Ch1.F10"/> and <xref ref-type="fig" rid="Ch1.F11"/>, tropospheric positive PAN anomalies
propagate into the UTLS over Iceland and southern Greenland, but the ozone
anomalies are significantly negative (<inline-formula><mml:math id="M208" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>150 to <inline-formula><mml:math id="M209" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>50 ppbv). Potential reasons
for the PAN-ozone anti-correlation include the air mass origin or the PAN
(<inline-formula><mml:math id="M210" display="inline"><mml:mrow><mml:msub><mml:mrow class="chem"><mml:mi mathvariant="normal">NO</mml:mi></mml:mrow><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>)-ozone chemistry. The thermal decomposition of PAN forms the
peroxyacetyl radical and <inline-formula><mml:math id="M211" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, which is an UTLS ozone sink (i.e.
conversion of <inline-formula><mml:math id="M212" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> to NO and then reaction with ozone), while a
tropospheric ozone source is in the presence of volatile organic compounds
<xref ref-type="bibr" rid="bib1.bibx35" id="paren.47"/>. However, lower UTLS temperatures (i.e. around 250 K)
yield a PAN lifetime of several months <xref ref-type="bibr" rid="bib1.bibx36" id="paren.48"/> and are a less likely
factor in the PAN <inline-formula><mml:math id="M213" display="inline"><mml:mrow><mml:msub><mml:mrow class="chem"><mml:mi mathvariant="normal">NO</mml:mi></mml:mrow><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>-ozone anomaly anti-correlations. <xref ref-type="bibr" rid="bib1.bibx8" id="text.49"/>
show that UTLS ozone-<inline-formula><mml:math id="M214" display="inline"><mml:mrow><mml:msub><mml:mrow class="chem"><mml:mi mathvariant="normal">HO</mml:mi></mml:mrow><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> chemistry is a more significant sink pathway
for ozone; however, there is no clear correlation between the NAO <inline-formula><mml:math id="M215" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">HO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>
and ozone anomalies. Methane, a good air mass tracer due to its approximate
9-year lifetime (e.g. <xref ref-type="bibr" rid="bib1.bibx23" id="altparen.50"/>) and anthropogenic source, was
sampled under the NAO phases (not shown) and highlighted similar anomaly
patterns to PAN, again anti-correlated with ozone. Therefore, PAN and methane
(ozone) act as signatures for the transport of polluted (clean) air masses in
the troposphere for the different NAO phases.</p>
      <p id="d1e3077">Figure <xref ref-type="fig" rid="Ch1.F14"/> shows the TOMCAT ozone cross section at 0<inline-formula><mml:math id="M216" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E,
similar to <inline-formula><mml:math id="M217" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> in Fig. <xref ref-type="fig" rid="Ch1.F8"/>. Under both NAO phases,
lower-tropospheric (UTLS – above 300 hPa) ozone ranges between 25 and 35 (above
100) ppbv. Meridionally, there is a decreasing poleward lower-tropospheric
ozone gradient, while in the UTLS peak (minimum) concentrations are at the
pole (30<inline-formula><mml:math id="M218" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N). The anomalies, as discussed above, are anti-correlated
with <inline-formula><mml:math id="M219" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>. In NAO-high, there are small positive (negative) anomalies
over the UK (North Sea) consistent with ozone-enriched air transported into
the UK from<?pagebreak page8403?> the North Atlantic and ozone loss downwind due to source-region
<inline-formula><mml:math id="M220" display="inline"><mml:mrow><mml:msub><mml:mrow class="chem"><mml:mi mathvariant="normal">NO</mml:mi></mml:mrow><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> transport, which propagates up to approximately 600 hPa. The positive
anomalies in the UTLS at 60<inline-formula><mml:math id="M221" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N are consistent with ozone accumulation
seen in Fig. <xref ref-type="fig" rid="Ch1.F13"/>. Under NAO-low conditions, the negative
anomalies (approximately <inline-formula><mml:math id="M222" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>3 ppbv) between 45–65<inline-formula><mml:math id="M223" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and 1000–700 hPa
are linked to UK <inline-formula><mml:math id="M224" display="inline"><mml:mrow><mml:msub><mml:mrow class="chem"><mml:mi mathvariant="normal">NO</mml:mi></mml:mrow><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> accumulation (Fig. <xref ref-type="fig" rid="Ch1.F7"/>d). Atmospheric
downwelling leads to UTLS ozone (positive anomalies over 3 ppbv) propagation
into the mid-troposphere at 40–50<inline-formula><mml:math id="M225" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. At high latitudes, small
positive anomalies throughout the troposphere, which are anti-correlated with
PAN, show clean-air transport around the UTLS Icelandic–southern Greenland
anticyclone in which PAN accumulates.</p>
      <p id="d1e3188">A second TOMCAT ozone cross section at 56.25<inline-formula><mml:math id="M226" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W (Fig. <xref ref-type="fig" rid="Ch1.F15"/>) has similar absolute ozone concentrations to the
0<inline-formula><mml:math id="M227" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E cross sections, but the anomalies highlight important
differences. In NAO-high, both cross sections have similar lower-tropospheric
ozone anomalies except at 50<inline-formula><mml:math id="M228" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N (Figs. <xref ref-type="fig" rid="Ch1.F14"/>c and
<xref ref-type="fig" rid="Ch1.F15"/>c) with positive anomalies (approximately 1 ppbv) over the UK
region and near 0 ppbv over the western North Atlantic. Under NAO-low
conditions, there are positive anomalies (Fig. <xref ref-type="fig" rid="Ch1.F15"/>d, 1–3 ppbv)
between 1000–600 hPa and 50–70<inline-formula><mml:math id="M229" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, but the eastern cross section
(Fig. <xref ref-type="fig" rid="Ch1.F14"/>d) highlights negative anomalies in this region (<inline-formula><mml:math id="M230" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>3 to
<inline-formula><mml:math id="M231" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1 pptv). While there is downwelling of stratospheric ozone in the eastern
cross section into the middle–upper troposphere during NAO-low, the western
cross section has an upwelling of ozone-reduced air into the UTLS with negative
anomalies of less than <inline-formula><mml:math id="M232" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>5 ppbv. Overall, in the lower troposphere, the TOMCAT
cross section anomalies support the signals in the TES data. Over the UK
(Zone 1, Fig. <xref ref-type="fig" rid="Ch1.F5"/>, and eastern cross section, Fig. <xref ref-type="fig" rid="Ch1.F14"/>), lower-tropospheric ozone is larger (lower) than the
wintertime average under NAO-high (NAO-low), while the opposite occurs in the
western North Atlantic (Zone 2 and western cross section, Fig. <xref ref-type="fig" rid="Ch1.F15"/>).</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S4">
  <title>Discussion</title>
      <p id="d1e3274">The analysis of satellite-observed and model-simulated atmospheric composition
sampled under the different wintertime NAO phases clearly highlights the
importance of transport, both horizontal and vertical, for variability in
concentrations of the air pollutant species investigated. At the surface and
in the lower troposphere, enhanced westerly flow in NAO-high influences
primary pollutant concentrations (e.g. <inline-formula><mml:math id="M233" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) over Europe as they are
transported away from source regions and replaced by clear Atlantic air
masses. As <inline-formula><mml:math id="M234" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> has a short lifetime of several hours, there is little
impact of the NAO circulation in the upper troposphere, where<?pagebreak page8404?> <inline-formula><mml:math id="M235" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>
concentrations are much lower. Under NAO-low, the reduced westerly flow
significantly aids the accumulation of <inline-formula><mml:math id="M236" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> at levels between the surface
and approximately 600 hPa. This is important for air pollution levels over
source regions which are predominately highly polluted and populated. Ozone
has the opposite signal to <inline-formula><mml:math id="M237" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> in the lower troposphere where NAO-high
replaces primary polluted air (e.g. high <inline-formula><mml:math id="M238" display="inline"><mml:mrow><mml:msub><mml:mrow class="chem"><mml:mi mathvariant="normal">NO</mml:mi></mml:mrow><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> content) over Europe with
ozone-enriched Atlantic air masses. The high ozone content of these air
masses is linked to ozone formed downwind of primary pollution from North
America and decreased levels of ozone-depleting gases (e.g. NO, when
photochemical and OH activity are slower) over Europe. Over North America and
the western North Atlantic, NAO-high and NAO-low show significant decreases
and increases in tropospheric ozone, respectively, as the NAO-high enhanced
westerlies transport ozone-enriched air masses towards Europe, while NAO-low
weakens this transport pathway, resulting in elevated ozone concentration in
the region from North American pollution outflow.</p>
      <?pagebreak page8405?><p id="d1e3345">In the UTLS, the spatial distribution of PAN is heavily influenced by both
horizontal and vertical transport. In NAO-high, as shown by MIPAS (see Supplement)
and Fig. <xref ref-type="fig" rid="Ch1.F11"/>, the tropopause height is elevated, enhancing the
vertical transport of PAN into the UTLS over the Arctic and subtropical
North Atlantic. UTLS horizontal winds also contribute to these elevated PAN
concentrations as strong winds (e.g. 30 m s<inline-formula><mml:math id="M239" 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>) help accumulate PAN in the
Arctic. In NAO-low, poleward flow from the subtropical North Atlantic has
weakened, leading to a decrease in PAN over the North Atlantic and there is no
longer the accumulation of Arctic PAN. However, the UTLS anticyclone (as seen
in Fig. <xref ref-type="fig" rid="Ch1.F1"/>e) shows a clear accumulation of PAN in the UTLS over
southern Greenland and Iceland linked to vertical transport of PAN from the
pollutant lower troposphere over Europe (reduced westerlies in NAO-low allow
the accumulation of PAN and <inline-formula><mml:math id="M240" display="inline"><mml:mrow><mml:msub><mml:mrow class="chem"><mml:mi mathvariant="normal">NO</mml:mi></mml:mrow><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>). Ozone in the troposphere and UTLS is
anti-correlated with PAN, which we show to be transport dominated,
highlighting regions of air mass intrusions from the troposphere into the
stratosphere and vice versa. For instance, in the UTLS Iceland–southern
Greenland anticyclone ozone is significantly reduced while PAN is enhanced.
In winter, as photochemical activity and reaction with OH are reduced,
polluted air masses with high <inline-formula><mml:math id="M241" display="inline"><mml:mrow><mml:msub><mml:mrow class="chem"><mml:mi mathvariant="normal">NO</mml:mi></mml:mrow><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> content will yield low ozone and high
PAN concentrations, respectively. However, stratospheric intrusions into the
upper troposphere (e.g. Fig. <xref ref-type="fig" rid="Ch1.F14"/>d between 40 and 60<inline-formula><mml:math id="M242" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N)
have a high ozone content but low PAN concentrations as there is limited
production of PAN in this part of the atmosphere.</p>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <title>Conclusions</title>
      <p id="d1e3407">This study has used state-of-the-art satellite data records of
atmospheric trace gases to identify recent influences of the North Atlantic
Oscillation (NAO) on tropospheric composition over the North Atlantic and
Europe. We have used tropospheric column <inline-formula><mml:math id="M243" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M244" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TCNO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) measurements
from the Ozone Monitoring Instrument (OMI), which provides higher resolution
and sampling than past instruments to detect clear and significant responses
(i.e. reduction in UK <inline-formula><mml:math id="M245" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">TCNO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> during NAO-high) from NAO circulation
patterns, building on the initial signal reported by <xref ref-type="bibr" rid="bib1.bibx12" id="text.51"/>.
Vertical profiles of ozone from the Tropospheric Emissions Spectrometer (TES)
allow a detailed assessment of satellite-observed lower-tropospheric ozone
sampled under the NAO phases. Robust, statistically significant signals are
found on both sides of the North Atlantic as a result of changes in the
westerly circulation during the two NAO phases. Finally, peroxyacetyl nitrate
(PAN) observations in the upper troposphere–lower stratosphere (UTLS) from
the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) are
exploited, given the long lifetime of PAN (several months,
<xref ref-type="bibr" rid="bib1.bibx37" id="altparen.52"/>), for the first time to investigate vertical transport of
polluted tropospheric air masses into the UTLS under different NAO
conditions.</p>
      <p id="d1e3449">Our results, supported by simulations from the TOMCAT chemistry transport
model (CTM), confirm that primary pollutant (i.e. <inline-formula><mml:math id="M246" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) concentrations
are reduced (enhanced) under NAO-high (NAO-low) conditions over Europe and
are heavily dependent on the strength of the westerly flow across the Atlantic.
However, secondary pollutants, such as ozone, have anti-correlated patterns
as maritime air masses (ozone-enriched air formed downwind from North
American primary pollutant emissions) disperse polluted European air masses
under NAO-high conditions, significantly increasing the background ozone
levels. Under NAO-low conditions, the slackening of the North Atlantic
westerly flow allows for the accumulation of primary pollutants over Europe,
where ozone concentrations are further decreased by ozone titration (loss
through reaction with nitric oxide, NO). Different responses to those over
Europe are observed and simulated by TES and TOMCAT over the western North
Atlantic where enhanced westerly flow (NAO-high conditions) yields lower
ozone concentrations over eastern North America through pollutant (both ozone
and ozone precursors) long-range transport towards Europe. However, the
weakening of the westerly flow (NAO-low conditions) allows ozone to
accumulate and form over the region. We also find that NAO circulation is
important for UTLS composition as polluted air masses (e.g. with high PAN
content) originating from Europe during NAO-low (accumulation of lower-tropospheric pollution) can propagate to this altitude, resulting in elevated
PAN concentrations over Iceland and southern Greenland. Model simulations show
that UTLS ozone spatial patterns over the North Atlantic are strongly
anti-correlated to those of PAN, whereby the two trace gases act as flags for
polluted tropospheric and clean stratospheric air in the UTLS.</p>
      <p id="d1e3463">Overall, the use of recent satellite data sets, not used in context of the
NAO before, and a model simulation have quantified the recent influences of
the NAO on tropospheric composition and co-variability between pollutants.</p>
</sec>

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

      <p id="d1e3470">The OMI tropospheric column <inline-formula><mml:math id="M247" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> data (DOMINO product v2.0)
come from the Tropospheric Emission Monitoring Internet Service (TEMIS), which
is available at <uri>http://www.temis.nl/airpollution/no2.html</uri> (Tropospheric Emissions Monitoring Internet Service, 2017). The surface data
from AURN can be found at
<uri>https://uk-air.defra.gov.uk/networks/network-info?view=aurn</uri> (Department for Environment, Food and Rural Affairs, 2017). Lerwick
ozonesonde data provided by the World Ozone and Ultraviolet Radiation Data
Centre are from <uri>http://woudc.org/</uri> (World Ozone and Ultraviolet Radiation Data Centre, 2017). North Atlantic Oscillation Index data,
from the Climatic Research Unit, University of East Anglia, is from
<uri>https://crudata.uea.ac.uk/cru/data/nao</uri> (Climate Research Unit – University of East Anglia, 2017). TES ozone data are provided by NASA's
JPL <uri>https://search.earthdata.nasa.gov/</uri> (Jet Propulsion Laboratory – NASA, 2017) and MIPAS data are from KIT
(<uri>https://www.imk-asf.kit.edu/english/308.php</uri>, Karlsruhe Institute of Technology, 2017). The model simulations from
TOMCAT can be found at
<uri>http://homepages.see.leeds.ac.uk/~earrjpo/acp_data_nao/</uri> (Pope et al., 2018b).</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e3506"><bold>The Supplement related to this article is available online at <inline-supplementary-material xlink:href="https://doi.org/10.5194/acp-18-8389-2018-supplement" xlink:title="pdf">https://doi.org/10.5194/acp-18-8389-2018-supplement</inline-supplementary-material>.</bold></p></supplementary-material>
        </app-group><notes notes-type="competinginterests">

      <p id="d1e3512">The authors declare that they have no conflict of
interest.</p>
  </notes><ack><title>Acknowledgements</title><?pagebreak page8406?><p id="d1e3518">This work was supported by the NERC National Centre for Earth Observation
(NCEO). TOMCAT modelling development was supported by the National Centre for
Atmospheric Science (NCAS). Simulations were performed on the national Archer
and Leeds ARC HPC systems. We acknowledge the use of the Tropospheric
Emission Monitoring Internet Service (TEMIS) OMI tropospheric column <inline-formula><mml:math id="M248" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> data
(DOMINO product v2.0). We also acknowledge the use of data from AURN
supported by the Department of Environment, Food and Rural Affairs (DEFRA)
and Lerwick ozonesonde data provided by the World Ozone and Ultraviolet
Radiation Data Centre. We also thank the Climatic Research Unit, University
of East Anglia for the use of their North Atlantic Oscillation Index data.
Finally, we acknowledge the use of the TES ozone data provided by NASA's JPL
and MIPAS data from KIT.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?> Edited by: Andrea
Pozzer<?xmltex \hack{\newline}?> Reviewed by: three anonymous referees</p></ack><ref-list>
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    <!--<article-title-html>Influence of the wintertime North Atlantic Oscillation on European tropospheric composition: an observational and modelling study</article-title-html>
<abstract-html><p>We have used satellite observations and a simulation from the TOMCAT
chemistry transport model (CTM) to investigate the influence of the
well-known wintertime North Atlantic Oscillation (NAO) on European
tropospheric composition. Under the positive phase of the NAO (NAO-high),
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nitrogen oxides, NO<sub><i>x</i></sub>; carbon monoxide, CO) away from anthropogenic
source regions. In contrast, during the negative phase of the NAO (NAO-low), more stable meteorological conditions lead to a build-up of
pollutants over these regions relative to the wintertime average pollution
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larger values during NAO-high. NAO-high introduces Atlantic ozone-enriched
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yielding lower values over Europe. Furthermore, ozone concentrations are also
decreased by chemical loss through the reaction with accumulated primary
pollutants such as nitric oxide (NO) in NAO-low. Peroxyacetyl nitrate (PAN)
in the upper troposphere–lower stratosphere (UTLS) peaks over Iceland and
southern Greenland in NAO-low, between 200 and 100 hPa, consistent with the
trapping by an anticyclone at this altitude. Model simulations show that
enhanced PAN over Iceland and southern Greenland in NAO-low is associated
with vertical transport of polluted air from the mid-troposphere into the
UTLS. Overall, this work shows that NAO circulation patterns are an important
governing factor for European wintertime composition and air pollution.</p></abstract-html>
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