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<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing with OASIS Tables v3.0 20080202//EN" "journalpub-oasis3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" xml:lang="en" dtd-version="3.0" article-type="research-article"><?xmltex \bartext{Research article}?>
  <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-22-13797-2022</article-id><title-group><article-title>Sources of surface O<inline-formula><mml:math id="M1" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> in the UK: tagging O<inline-formula><mml:math id="M2" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula><?xmltex \hack{\break}?> within WRF-Chem</article-title><alt-title>Tagging O<inline-formula><mml:math id="M3" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> within WRF-Chem</alt-title>
      </title-group><?xmltex \runningtitle{Tagging O${}_{{3}}$ within WRF-Chem}?><?xmltex \runningauthor{J. Romero-Alvarez et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff6 aff7 aff8">
          <name><surname>Romero-Alvarez</surname><given-names>Johana</given-names></name>
          <email>lero1992@colorado.edu</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Lupaşcu</surname><given-names>Aurelia</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-1055-9727</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3 aff9">
          <name><surname>Lowe</surname><given-names>Douglas</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-1248-3594</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff10">
          <name><surname>Badia</surname><given-names>Alba</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-0906-8258</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4 aff9">
          <name><surname>Archer-Nicholls</surname><given-names>Scott</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-3311-9003</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Dorling</surname><given-names>Steve</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Reeves</surname><given-names>Claire E.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-4071-1926</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2 aff5">
          <name><surname>Butler</surname><given-names>Tim</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-2219-4657</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>School of Environmental Sciences, University of East Anglia,
Norwich, UK</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Institute for Advanced Sustainability Studies (IASS), Potsdam,
Germany</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Centre for Atmospheric Sciences, Department of Earth and Environmental Sciences,<?xmltex \hack{\break}?> University of Manchester, Manchester, UK</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Centre for Atmospheric Science, Department of Chemistry, University
of Cambridge, Cambridge, UK</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>Institut für Meteorologie, Freie Universität Berlin,
Berlin, Germany</institution>
        </aff>
        <aff id="aff6"><label>a</label><institution>now at: Department of Chemistry, University of Colorado
Boulder, Boulder, CO, USA</institution>
        </aff>
        <aff id="aff7"><label>b</label><institution>now at: Cooperative Institute for Research in Environmental
Sciences (CIRES),<?xmltex \hack{\break}?> University of Colorado Boulder, Boulder, CO, USA</institution>
        </aff>
        <aff id="aff8"><label>c</label><institution>now at: NOAA Global Systems Laboratory (GSL), Boulder, CO, USA</institution>
        </aff>
        <aff id="aff9"><label>d</label><institution>now at: Research IT, University of Manchester, Manchester, UK</institution>
        </aff>
        <aff id="aff10"><label>e</label><institution>now at: Institute of Environmental Science and Technology (ICTA),<?xmltex \hack{\break}?>
Universitat Autónoma de Barcelona, Barcelona, Spain</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Johana Romero-Alvarez (lero1992@colorado.edu)</corresp></author-notes><pub-date><day>26</day><month>October</month><year>2022</year></pub-date>
      
      <volume>22</volume>
      <issue>20</issue>
      <fpage>13797</fpage><lpage>13815</lpage>
      <history>
        <date date-type="received"><day>6</day><month>March</month><year>2022</year></date>
           <date date-type="rev-request"><day>25</day><month>March</month><year>2022</year></date>
           <date date-type="rev-recd"><day>6</day><month>August</month><year>2022</year></date>
           <date date-type="accepted"><day>29</day><month>August</month><year>2022</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2022 </copyright-statement>
        <copyright-year>2022</copyright-year>
      <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><title>Abstract</title>

      <p id="d1e243">Tropospheric ozone (O<inline-formula><mml:math id="M4" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>) concentrations depend on a combination of hemispheric, regional, and local-scale processes. Estimates of how much O<inline-formula><mml:math id="M5" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> is produced locally vs. transported from further afield are
essential in air quality management and regulatory policies. Here, a
tagged-ozone mechanism within the Weather Research and Forecasting model coupled with chemistry (WRF-Chem) is used to quantify the
contributions to surface O<inline-formula><mml:math id="M6" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> in the UK from anthropogenic nitrogen oxide (NO<inline-formula><mml:math id="M7" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>) emissions from inside and outside the UK during May–August 2015. The
contribution of the different source regions to three regulatory O<inline-formula><mml:math id="M8" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
metrics is also examined. It is shown that model simulations predict the
concentration and spatial distribution of surface O<inline-formula><mml:math id="M9" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> with a domain-wide
mean bias of <inline-formula><mml:math id="M10" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3.7</mml:mn></mml:mrow></mml:math></inline-formula> ppbv. Anthropogenic NO<inline-formula><mml:math id="M11" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> emissions from the UK and Europe
account for 13 % and 16 %, respectively, of the monthly mean surface
O<inline-formula><mml:math id="M12" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> in the UK, as the majority (71 %) of O<inline-formula><mml:math id="M13" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> originates from the
hemispheric background. Hemispheric O<inline-formula><mml:math id="M14" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> contributes the most to
concentrations in the north and the west of the UK with peaks in May,
whereas European and UK contributions are most significant in the east,
south-east, and London, i.e. the UK's most populated areas, intensifying
towards June and July. Moreover, O<inline-formula><mml:math id="M15" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> from European sources is generally
transported to the UK rather than produced in situ. It is demonstrated that
more stringent emission controls over continental Europe, particularly in
western Europe, would be necessary to improve the health-related metric MDA8
O<inline-formula><mml:math id="M16" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> above 50 and 60 ppbv. Emission controls over larger areas, such as
the Northern Hemisphere, are instead required to lessen the impacts on
ecosystems as quantified by the AOT40 metric.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e375">Tropospheric ozone (O<inline-formula><mml:math id="M17" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>) is a pollutant of concern for policy-makers
because of its detrimental effects on human health, agriculture, and
ecosystems (Fuhrer,
2009; WHO, 2016). Near ground level, O<inline-formula><mml:math id="M18" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> has a typical atmospheric
lifetime of a few hours. In the free troposphere, however, the lifetime can
be up to several weeks (Stevenson
et al., 2006), and O<inline-formula><mml:math id="M19" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> can be transported from its point of production
downwind over long distances crossing countries and continents (Wild et al., 2004; HTAP, 2010). The
concentration of O<inline-formula><mml:math id="M20" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> at a given location is therefore dictated by a
combination of hemispheric, regional, and local-scale factors (Jenkin, 2008). Examples of this are
long-range transport of O<inline-formula><mml:math id="M21" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and its precursors, including stratospheric
intrusions, and photochemical reactions happening on a local and regional
scale (e.g. Monks, 2000; HTAP, 2010).</p>
      <p id="d1e423">The production of O<inline-formula><mml:math id="M22" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> in the troposphere is highly non-linear. It
depends on the abundance of nitrogen oxides (NO<inline-formula><mml:math id="M23" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> NO<inline-formula><mml:math id="M24" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>+</mml:mo></mml:mrow></mml:math></inline-formula> NO) and
peroxy radicals (HO<inline-formula><mml:math id="M25" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>) produced after the oxidation of volatile organic
compounds (VOCs) by hydroxyl radicals (OH) (Monks, 2005). The reaction of NO
with HO<inline-formula><mml:math id="M26" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and the subsequent photolysis of NO<inline-formula><mml:math id="M27" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> generating O<inline-formula><mml:math id="M28" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
constitute the primary known mechanism of O<inline-formula><mml:math id="M29" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> production (Atkinson, 2000; Monks,
2005). NO<inline-formula><mml:math id="M30" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> concentrations determine whether O<inline-formula><mml:math id="M31" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> is produced or
chemically removed (Monks, 2005). In the rural areas of most industrialized
countries, where NO<inline-formula><mml:math id="M32" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> is available at moderate levels, the rate of O<inline-formula><mml:math id="M33" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
formation increases with increasing NO<inline-formula><mml:math id="M34" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> concentrations (NO<inline-formula><mml:math id="M35" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>-limited regime).
In more polluted areas, by contrast, high NO<inline-formula><mml:math id="M36" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> concentrations inhibit O<inline-formula><mml:math id="M37" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
formation as this begins being depleted by NO (NO<inline-formula><mml:math id="M38" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> titration effect).
Subsequent formation of nitric acid (HNO<inline-formula><mml:math id="M39" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>) from the reaction of
NO<inline-formula><mml:math id="M40" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> with OH constitutes a major endpoint for O<inline-formula><mml:math id="M41" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> in such
environments (Monks, 2005). However, elevated inputs of non-methane VOCs
(NMVOCs) can increase the production of O<inline-formula><mml:math id="M42" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> as the reaction of VOCs with
OH radicals become more significant (NO<inline-formula><mml:math id="M43" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>-saturated regime).</p>
      <p id="d1e633">Furthermore, O<inline-formula><mml:math id="M44" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations also depend on O<inline-formula><mml:math id="M45" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> deposition; uptake by
vegetation; and meteorological variables such as temperature, winds
(direction and speed), solar radiation intensity, and precipitation (e.g. Sillman,
1999; Coyle et al., 2002). For instance, high-O<inline-formula><mml:math id="M46" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>-concentration episodes
in the UK have been associated with heatwave periods (Finch and Palmer,
2020). The contribution of each process varies with location. Remote sites
are largely controlled by hemispheric background O<inline-formula><mml:math id="M47" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> (Pilling et al.,
2009). Photochemical pollution episodes, on the other hand, are more severe
in the south and east of the UK, and O<inline-formula><mml:math id="M48" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> titration by NO<inline-formula><mml:math id="M49" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> is higher in
urban areas (Jenkin, 2008).</p>
      <p id="d1e691">In the UK, tighter UK and European precursor emission controls in the last
30 years have led to a substantial decrease in the concentration of O<inline-formula><mml:math id="M50" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
primary precursors and successfully reduced the severity of the high-O<inline-formula><mml:math id="M51" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>-concentration episodes (Pilling et al., 2009; Derwent
et al., 2018; Finch and Palmer, 2020). Even so, exposure to surface O<inline-formula><mml:math id="M52" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
continues to cause considerable damage to human health in Europe and the UK,
leading to an estimated 17 000 premature deaths in 2015 (EEA,
2017). Evidence suggests that annual mean O<inline-formula><mml:math id="M53" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations in the UK
have been increasing in urban and suburban areas and to a lesser extent in rural
areas (Jenkin, 2008; Pilling et al., 2009; Munir et al., 2013; Finch and
Palmer, 2020). Reductions in NO<inline-formula><mml:math id="M54" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> emissions, mainly by road traffic, have led
to reductions in the O<inline-formula><mml:math id="M55" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> scavenging in urban areas so that O<inline-formula><mml:math id="M56" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
concentrations have generally increased (Finch and Palmer, 2020). The
increase in rural areas, on the other hand, has been largely driven by
rising hemispheric O<inline-formula><mml:math id="M57" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> levels, up to <inline-formula><mml:math id="M58" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.31 ppbv a year over the
20-year 1987–2007 period (Derwent et
al., 2007) and <inline-formula><mml:math id="M59" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.25 ppbv a year over the 25-year period (Derwent et al., 2013). Accordingly,
increasing emissions of precursors in Asia and North America influence
O<inline-formula><mml:math id="M60" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations entering Europe from the North Atlantic, offsetting
the effects of European regional emission reductions on O<inline-formula><mml:math id="M61" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> (HTAP,
2010; Derwent et al., 2018). Therefore, efficient emission control policies
aimed at reducing O<inline-formula><mml:math id="M62" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentration in a given region require a holistic
assessment of both O<inline-formula><mml:math id="M63" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> transport from outside the region and in situ
O<inline-formula><mml:math id="M64" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> production. Such quantitative estimations can be made by applying
source–receptor methods (S–R) within chemical transport models (CTMs).</p>
      <p id="d1e828">S–R studies often compare model simulations that include all anthropogenic
emissions with those obtained after modifying emissions from a region of
interest (the so-called perturbation approach). However, as O<inline-formula><mml:math id="M65" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
chemistry is highly non-linear, this approach can lead to unrealistic
attribution estimates; e.g. Emmons et al. (2012) underestimated the O<inline-formula><mml:math id="M66" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
contribution by up to a factor of 4 when perturbing NO emissions by 20 %.
Tagged-ozone methods, on the other hand, use additional diagnostics to
follow the reaction of different emissions to the formation of O<inline-formula><mml:math id="M67" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>,
making the approach suited to investigating the contribution of different
precursors (Emmons et al., 2012; Grewe et al., 2012; Butler et al., 2018).</p>
      <p id="d1e858">Several studies have investigated the contribution of intercontinental
transport to O<inline-formula><mml:math id="M68" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> in Europe, in particular from North America and Asia,
using different modelling techniques
(e.g. Li, 2002; Derwent et al.,
2004; Auvray
and Bey, 2005; Sudo and Akimoto, 2007; Derwent et al., 2008; Emmons et al.,
2012; Derwent et al., 2015; Mertens et al., 2018; Butler et al., 2018; Lupaşcu
and Butler, 2019; Butler et al., 2020). However, these studies do not
provide a quantitative estimate of the contribution of the different source
regions to the total amount of O<inline-formula><mml:math id="M69" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> over the UK at a regional scale but
rather an estimate at a national scale or at individual locations across
Europe or for the European region as a whole.</p>
      <p id="d1e879">The present study quantifies the contributions to surface O<inline-formula><mml:math id="M70" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> in 12 receptor regions in the UK from anthropogenic NO<inline-formula><mml:math id="M71" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> emissions from inside and
outside the UK using the tagged-ozone method developed in Lupaşcu and
Butler (2019). Dividing the UK into several regions serves to separate
meteorological features and chemical environments that are known to impact
the spatial distribution and temporal variation in air pollutants such as
O<inline-formula><mml:math id="M72" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> (Coyle et al., 2002; Jenkin, 2008). We focus on summer 2015, which
saw several heatwaves causing elevated O<inline-formula><mml:math id="M73" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> values in central and
western Europe that exceeded the European Union (EU) information threshold of a 1 h average mixing ratio of 90 ppbv (Tarrason et al.,
2016). We also look at the impact of O<inline-formula><mml:math id="M74" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> on human exposure, crops, and
vegetation using two well-known O<inline-formula><mml:math id="M75" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> metrics, the MDA8 and the AOT40. The
MDA8 is a health-related metric commonly used to assess the impacts of
O<inline-formula><mml:math id="M76" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> exposure on the population (e.g. Reidmiller
et al., 2009; Stock et al., 2013; Mar et al., 2016). The metric is defined
as the maximum daily 8 h average (MDA8) O<inline-formula><mml:math id="M77" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> values (in ppbv)
and is strongly influenced by photochemical episodes (Pilling et al., 2009). The AOT40
(accumulated O<inline-formula><mml:math id="M78" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> above a threshold of 40 ppbv) is commonly used to
assess the effects of O<inline-formula><mml:math id="M79" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> on crops and vegetation and is based on
exposure over 40 ppbv using only the 1 h values measured during daylight
hours.</p>
      <p id="d1e973">The Weather Research and Forecasting model coupled with chemistry (WRF-Chem) settings, including an introduction to the tagging approach and
a summary of the model evaluation for NO, NO<inline-formula><mml:math id="M80" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, and O<inline-formula><mml:math id="M81" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, are
presented in Sect. 2. Model evaluation is discussed in detail in the
Supplement. Results for the contributions of UK and European
precursor emissions, along with transport across the lateral model
boundaries to surface O<inline-formula><mml:math id="M82" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> in the UK, are presented and discussed in
Sect. 3. Section 4 summarizes our findings.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Methods</title>
      <p id="d1e1011">We used the Weather Research and Forecasting model (WRF) version 3.7.1 (Powers et al., 2017) coupled with chemistry
(WRF-Chem) (Grell
et al., 2005). The model domain was centred at 53<inline-formula><mml:math id="M83" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 3<inline-formula><mml:math id="M84" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, covering most of Europe, as shown in Fig. 1a. The spatial
resolution was set to 27 km <inline-formula><mml:math id="M85" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 27 km, with 35 vertical levels
starting from the surface up to 10 hPa.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><?xmltex \currentcnt{1}?><?xmltex \def\figurename{Figure}?><label>Figure 1</label><caption><p id="d1e1041">Source regions and receptors: <bold>(a)</bold> division of domain into nine source
regions. Note that the Rest_Eu source region also includes ship
emissions from the Atlantic, Mediterranean, and Baltic Sea, whilst emissions
from shipping routes in the North Sea and the English Channel are tagged as
NOS. The blue line surrounding the domain indicates the lateral-boundaries (LB) tag. <bold>(b)</bold> Map of the
UK showing the receptor regions.</p></caption>
        <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/22/13797/2022/acp-22-13797-2022-f01.png"/>

      </fig>

      <p id="d1e1056">The initial and boundary conditions (ICs and BCs, respectively) for
meteorology were obtained from the ERA-Interim reanalysis dataset (Dee et al., 2011), which has
a spatial grid resolution of 0.75<inline-formula><mml:math id="M86" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M87" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.75<inline-formula><mml:math id="M88" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> and
6 h temporal resolution. ICs and BCs for the chemistry fields were
extracted from global simulations produced by the Model for Ozone and Related chemical Tracers (MOZART-4) Goddard Earth Observing System-5 (GEOS-5) (Emmons et al., 2010). BCs were
ingested into the model every 3 h. The schemes used to parameterize the
atmospheric processes are listed in Table 1. These are the same schemes
deployed in Mar et al. (2016) to evaluate meteorology, O<inline-formula><mml:math id="M89" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, and NO<inline-formula><mml:math id="M90" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>
fields in a European domain using the MOZART-4 chemical mechanism.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e1106">Parameterizations options used in the study.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="2">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Process</oasis:entry>
         <oasis:entry colname="col2">Scheme</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Cloud microphysics</oasis:entry>
         <oasis:entry colname="col2">Lin et al. scheme (Lin et al., 1983)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Radiation (short wave)</oasis:entry>
         <oasis:entry colname="col2">RRTMG (Iacono et al., 2008)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Radiation (long wave)</oasis:entry>
         <oasis:entry colname="col2">Goddard shortwave scheme (Chou and Suarez, 1994)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Boundary layer physics</oasis:entry>
         <oasis:entry colname="col2">Yonsei University scheme (Hong et al., 2006)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Surface layer</oasis:entry>
         <oasis:entry colname="col2">MM5 similarity based on Monin–Obukhov scheme (Beljaars, 1995)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Land surface processes</oasis:entry>
         <oasis:entry colname="col2">Noah land surface model (Chen and Dudhia, 2001)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Cumulus convection</oasis:entry>
         <oasis:entry colname="col2">Grell 3-D scheme (Grell and Dévényi, 2002)</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e1197">Simulations were conducted for the period between 24 April and 31 August 2015 for gas-phase chemistry using a tagged-ozone mechanism based on the
MOZART-4 chemical scheme. Note that omission of heterogeneous chemistry can
lead to overestimation of NO<inline-formula><mml:math id="M91" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> due to the absence of aerosol nitrate
formation through the reaction of OH <inline-formula><mml:math id="M92" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NO<inline-formula><mml:math id="M93" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> as well as N<inline-formula><mml:math id="M94" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O<inline-formula><mml:math id="M95" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">5</mml:mn></mml:msub></mml:math></inline-formula>
hydrolysis, which represents an important sink for NO<inline-formula><mml:math id="M96" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (Badia and
Jorba, 2015; Archer-Nicholls et al., 2014; Stone et al., 2014). The first
week of output was treated as model spin-up and hence discarded. The
meteorology was not nudged but re-started every 3 d as in the
methodology adopted in the second phase of the Air Quality Model Evaluation
International Initiative (AQMEII) (e.g. Im et al., 2014). This decision was
made after a test analysis showed that nudging of winds above the planetary
boundary layer (PBL) and temperature at all layers, as done in Mar et al. (2016), leads to a representation of hourly NO<inline-formula><mml:math id="M97" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and O<inline-formula><mml:math id="M98" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing
ratios in the East Anglia region (in the east of the UK) that is inconsistent with
observations. The nudging simulation predicted shallower boundary layers
compare with that obtained using the re-starting method, particularly over
the Norfolk coast, leading to high concentrations of NO<inline-formula><mml:math id="M99" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>,
especially at nighttime, and larger O<inline-formula><mml:math id="M100" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> lost due to increased dry
deposition. Anthropogenic emissions of carbon monoxide (CO), NO<inline-formula><mml:math id="M101" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>, sulfur
dioxide (SO<inline-formula><mml:math id="M102" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>), and total NMVOCs for the European domain, including
shipping lanes, were taken from the TNO-MACC-III European inventory (Kuenen
et al., 2014) for the year 2011. The emissions were provided as yearly
totals (kg yr<inline-formula><mml:math id="M103" 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>) by source sector following the SNAP (selected
nomenclature for sources of air pollution) convention at a 0.125<inline-formula><mml:math id="M104" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M105" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.0625<inline-formula><mml:math id="M106" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> longitude-latitude resolution. For the UK domain, emissions were taken from the UK National Atmospheric Emissions Inventory (NAEI) for the year 2014, <uri>http://naei.beis.gov.uk/</uri> (last access: 20 January 2022), which has a spatial resolution
of 1 km <inline-formula><mml:math id="M107" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 1 km. Biogenic emissions were calculated online using the Model of Emissions of Gases and Aerosols from Nature (MEGAN) version 2.04 (Guenther et al., 2012).</p>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><?xmltex \opttitle{O${}_{{3}}$ tagging mechanism}?><title>O<inline-formula><mml:math id="M108" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> tagging mechanism</title>
      <p id="d1e1373">The contribution of hemispheric O<inline-formula><mml:math id="M109" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and domestic and European
anthropogenic emissions to tropospheric O<inline-formula><mml:math id="M110" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> in the UK is studied using
the O<inline-formula><mml:math id="M111" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> tagging technique developed in Lupaşcu and Butler (2019), in
which O<inline-formula><mml:math id="M112" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> molecules are labelled according to the identity of their
source regions. This is achieved by tagging NO<inline-formula><mml:math id="M113" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> emissions at selected source
regions and tracking them through the formation of O<inline-formula><mml:math id="M114" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, including the
recycling of NO<inline-formula><mml:math id="M115" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> via the production of odd nitrogen species (e.g.
peroxyacetyl nitrate (PAN), nitric acid (HNO<inline-formula><mml:math id="M116" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>), and organic nitrates).</p>
      <p id="d1e1449">To implement the tagging method, a new chemical mechanism was created,
“mozart_tag_kpp (chemopt <inline-formula><mml:math id="M117" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 113)”, containing
the original chemical reactions in the MOZART-4 mechanism plus a duplicated
set of reactions with additional tracers accounting for the source regions
of interest. See Appendix A in Lupaşcu and Butler (2019) for a list of
the model's edits to accommodate the new mechanism in WRF-Chem. The present
study uses different sources and receptor regions. Furthermore, it does not
attribute the contributions from the lateral boundary to any specific
geographical location (e.g. the Task Force on Hemispheric Transport of Air
Pollution, TF HTAP regions) as in Lupaşcu and Butler (2019). Instead, the
lateral boundary is tagged as a single source. O<inline-formula><mml:math id="M118" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> formation requires
both NO<inline-formula><mml:math id="M119" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> and peroxy radicals from VOCs. Several tagging methods exist that
can take different approaches to estimate the attribution of O<inline-formula><mml:math id="M120" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> to
these two chemically distinct precursors (Butler et al., 2018). Butler et al. (2020) demonstrate that
anthropogenic NMVOC emissions play a marginal role in regional-scale
O<inline-formula><mml:math id="M121" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> production, with methane and biogenic VOCs being the most relevant
chemical species for O<inline-formula><mml:math id="M122" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> production. As the present study primarily
focuses on the anthropogenic influence on O<inline-formula><mml:math id="M123" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, the use of NO<inline-formula><mml:math id="M124" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> tagging
for O<inline-formula><mml:math id="M125" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> source attribution is considered appropriate.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>Receptors and source regions</title>
      <p id="d1e1540">Table 2 lists the tagged sources and receptor regions also highlighted in
Fig. 1a and b, respectively. The chemical lateral boundary is defined as an
independent source region (LB) and is provided by the MOZART-4 GEOS-5 model.
Note that the LB-tagged region also includes O<inline-formula><mml:math id="M126" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> contributions of
stratospheric origin. Moreover, all O<inline-formula><mml:math id="M127" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> that enters the model domain
through the lateral boundaries is tagged as LB, and there is no feedback
between the global model and WRF-Chem.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><?xmltex \currentcnt{2}?><label>Table 2</label><caption><p id="d1e1564">List of tagged source regions.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.95}[.95]?><oasis:tgroup cols="3">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Source region</oasis:entry>
         <oasis:entry colname="col2">Abbr.</oasis:entry>
         <oasis:entry colname="col3">List of countries or source type</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Hemispheric O<inline-formula><mml:math id="M128" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">LB</oasis:entry>
         <oasis:entry colname="col3">Lateral boundaries</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">France</oasis:entry>
         <oasis:entry colname="col2">FRA</oasis:entry>
         <oasis:entry colname="col3">France</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Germany</oasis:entry>
         <oasis:entry colname="col2">GER</oasis:entry>
         <oasis:entry colname="col3">Germany</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Netherlands</oasis:entry>
         <oasis:entry colname="col2">NET</oasis:entry>
         <oasis:entry colname="col3">The Netherlands</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Luxembourg</oasis:entry>
         <oasis:entry colname="col2">LUX</oasis:entry>
         <oasis:entry colname="col3">Luxembourg</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Belgium</oasis:entry>
         <oasis:entry colname="col2">BEL</oasis:entry>
         <oasis:entry colname="col3">Belgium</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">North Sea and English Channel</oasis:entry>
         <oasis:entry colname="col2">NOS</oasis:entry>
         <oasis:entry colname="col3">The North Sea and English Channel</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">UK</oasis:entry>
         <oasis:entry colname="col2">UK</oasis:entry>
         <oasis:entry colname="col3">England, Scotland, Wales, and Northern Ireland</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Rest of central Europe</oasis:entry>
         <oasis:entry colname="col2">Rest_CEu</oasis:entry>
         <oasis:entry colname="col3">Austria, Switzerland, the Czech Republic, Hungary, Poland, Slovakia, Slovenia, and Romania</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Rest of Europe</oasis:entry>
         <oasis:entry colname="col2">Rest_Eu</oasis:entry>
         <oasis:entry colname="col3">Remaining areas in the model domain including the Republic of Ireland; the Iberian Peninsula;</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">southern Europe; south-eastern Europe; eastern Europe; northern Europe; and</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">shipping emissions from the Atlantic, Baltic Sea, and the Mediterranean</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

      <p id="d1e1746">To generate the receptor regions, the UK domain is divided into its 12
administrative regions as used in previous air quality studies such as Heal et al. (2013), as shown in Fig. 1b: East Anglia, South East, London,
South West, Wales, West Midlands, East Midlands, Yorkshire and Humberside,
North East, North West, Northern Ireland, and Scotland.</p>
      <p id="d1e1750">The UK is well known for the regional variability in its weather. Generally,
places in the east and south tend to be drier, warmer, sunnier, and less
windy than those in the west and north (Jenkin, 2008). Thus, dividing the UK
into several regions also serves to separate relevant meteorological
features such as temperature, sunshine, precipitation, and wind, as well as
emissions within each region that are known to have an impact on the spatial
distribution and temporal variation in air pollutants such as O<inline-formula><mml:math id="M129" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> (Coyle
et al., 2002; Jenkin, 2008).</p>
</sec>
<sec id="Ch1.S2.SS3">
  <label>2.3</label><?xmltex \opttitle{O${}_{{3}}$ metrics for source contribution assessment}?><title>O<inline-formula><mml:math id="M130" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> metrics for source contribution assessment</title>
      <p id="d1e1780">Current European and national air quality standards to mitigate the effects
of O<inline-formula><mml:math id="M131" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> on human health are expressed as 8 h averages. The regulatory
framework establishes that the maximum 8 h mean O<inline-formula><mml:math id="M132" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentration (MDA8)
should not exceed 120 <inline-formula><mml:math id="M133" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g m<inline-formula><mml:math id="M134" 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> (<inline-formula><mml:math id="M135" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 60 ppbv) in the EU, and 100 <inline-formula><mml:math id="M136" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g m<inline-formula><mml:math id="M137" 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> (<inline-formula><mml:math id="M138" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 50 ppbv) in the UK. Here,
the contributions to these health metrics were estimated by computing an 8 h
moving mean of O<inline-formula><mml:math id="M139" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> for each receptor region and selecting the days when
the MDA8 exceeded 50 and 60 ppbv between May and August 2015. Once these were
identified, tagged O<inline-formula><mml:math id="M140" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations were extracted for the same
periods and used in the analysis. The AOT40 is defined as the accumulated
excess of hourly O<inline-formula><mml:math id="M141" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations above 40 ppbv measured during
daylight hours (between 08:00 and 20:00) central European time (CET) over a
typical 3-month growing season May–July. Here, the contribution of
tagged O<inline-formula><mml:math id="M142" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> to the cumulative metric AOT40 was calculated as the sum of
the difference between hourly mixing ratios when O<inline-formula><mml:math id="M143" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> exceeded the 40 ppbv threshold and 40 ppbv between 08:00 and 20:00 central European time
(CET) from May–July over the most relevant arable farming areas in the UK,
East Anglia, and the South East; see Eq. (1). The target value in the EU and
UK is 9000 ppbv h<inline-formula><mml:math id="M144" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (<inline-formula><mml:math id="M145" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 18000 <inline-formula><mml:math id="M146" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g m<inline-formula><mml:math id="M147" 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> h<inline-formula><mml:math id="M148" 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 a typical 3-month growing season (May–July) averaged over 5 years.
            <disp-formula id="Ch1.E1" content-type="numbered"><label>1</label><mml:math id="M149" display="block"><mml:mrow><mml:mi mathvariant="normal">AOT</mml:mi><mml:mn mathvariant="normal">40</mml:mn><mml:mo>=</mml:mo><mml:msubsup><mml:mo>∑</mml:mo><mml:mrow><mml:mi>i</mml:mi><mml:mo>=</mml:mo><mml:mi>l</mml:mi></mml:mrow><mml:mrow><mml:mn mathvariant="normal">90</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">d</mml:mi></mml:mrow></mml:msubsup><mml:msubsup><mml:mo>∑</mml:mo><mml:mrow><mml:mi>h</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow><mml:mn mathvariant="normal">20</mml:mn></mml:msubsup><mml:mo movablelimits="false">max⁡</mml:mo><mml:mfenced open="(" close=")"><mml:mrow><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mi>i</mml:mi><mml:mo>,</mml:mo><mml:mi mathvariant="normal">h</mml:mi></mml:mrow></mml:msub><mml:mo>-</mml:mo><mml:mn mathvariant="normal">40</mml:mn><mml:mo>,</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:mfenced></mml:mrow></mml:math></disp-formula></p><?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S2.SS4">
  <label>2.4</label><?xmltex \opttitle{Model evaluation: NO, NO${}_{{2}}$, and O${}_{{3}}$}?><title>Model evaluation: NO, NO<inline-formula><mml:math id="M150" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, and O<inline-formula><mml:math id="M151" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula></title>
      <p id="d1e2044">Observational data were taken from the UK's Met Office Integrated Data
Archive System and the European Monitoring and Evaluation Programme (EMEP).
The EMEP air quality monitoring network records hourly measurements at
regional background sites, mostly in farmland and rural areas (Tørseth et al.,
2012). The choice to only analyse background representative stations is
based on the need to provide an evaluation with spatial scales consistent
with the model resolution. Kuik et
al. (2016), for example, have shown that a 15 km resolution is too coarse to
resolve the differences between urban and rural atmospheric chemical
composition. The resolution of the domain considered here is even coarser.
The EMEP network was therefore selected as it provides surface measurements
at sites intended to represent regional background pollution.</p>
      <p id="d1e2047">Model evaluation is detailed in the Supplement. Table S2 in the Supplement summarizes the domain-wide statistical performance for NO, NO<inline-formula><mml:math id="M152" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, and
O<inline-formula><mml:math id="M153" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>. The predicted temporal correlation coefficient (<inline-formula><mml:math id="M154" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula>) for NO and
NO<inline-formula><mml:math id="M155" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> is fairly low (0.3), which is a feature also exhibited in other
regional studies in Europe using WRF-Chem, e.g. Tuccella et al. (2012),
Pirovano et al. (2012), and Lupaşcu et al. (2022). The model
underestimates NO mixing ratios in most analysed sites with a domain-wide mean bias (MB)
of <inline-formula><mml:math id="M156" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.3</mml:mn></mml:mrow></mml:math></inline-formula> ppbv. NO<inline-formula><mml:math id="M157" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios, on the other hand, are generally
overestimated with a domain-wide MB of 0.31 ppbv and no specific patterns
distinguished in the bias distribution. This is consistent with the negative
NO and positive NO<inline-formula><mml:math id="M158" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> biases obtained across Europe using MOZART-4
chemistry reported in Mar et al. (2016).</p>
      <p id="d1e2113">The model's temporal variation in hourly O<inline-formula><mml:math id="M159" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations at most
sites is well represented, with an average <inline-formula><mml:math id="M160" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula> value of 0.6. The model tends to
underestimate concentrations in most locations, with a domain-wide mean bias
of <inline-formula><mml:math id="M161" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3.7</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M162" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g m<inline-formula><mml:math id="M163" 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>. Correlation values above 0.5 are obtained in most
sites, particularly in the UK; see Fig. S4a in the Supplement.
In contrast, low <inline-formula><mml:math id="M164" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula> values (<inline-formula><mml:math id="M165" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 0.4) are concentrated in
high-altitude sites, which might indicate difficulties in the model
representing O<inline-formula><mml:math id="M166" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> transport. This is in line with previous studies using
MOZART-4 chemistry, such as Knote et al. (2014), showing low production of
peroxyacetyl nitrates (PANs), which are an essential reservoir for NO<inline-formula><mml:math id="M167" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and a key
player in remote O<inline-formula><mml:math id="M168" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> production. Correlation values are consistent with
summertime O<inline-formula><mml:math id="M169" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> values below 0.40 reported in the WRF-Chem model
evaluation over a European domain in Mar et al. (2016) using MOZART-4
chemistry.</p>
      <p id="d1e2214">Figure 2 shows that the day-to-day variation in hourly O<inline-formula><mml:math id="M170" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios
is well represented by the model, except for large under-predictions during
1–3 July and 22–24 August, particularly at stations on the east coast,
e.g. Weybourne. Note that the observed maximum hourly O<inline-formula><mml:math id="M171" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> at this site
is larger than those seen inland, e.g. Lullington Heath and Harwell (2015).
This may indicate inflow of O<inline-formula><mml:math id="M172" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and precursors from nearby large
metropolitan areas within the UK (e.g. London) or longer-range transport
from continental Europe. Thus, underestimation of O<inline-formula><mml:math id="M173" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> during those
days may be caused by uncertainties in O<inline-formula><mml:math id="M174" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> transport. This feature has
also been identified in other source apportionment studies such as
Lupaşcu and Butler (2019).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><?xmltex \def\figurename{Figure}?><label>Figure 2</label><caption><p id="d1e2264">Modelled and observed hourly O<inline-formula><mml:math id="M175" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios from May to
August 2015 at three sites over the UK. The date is given in the format month-day.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/22/13797/2022/acp-22-13797-2022-f02.png"/>

        </fig>

</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Results and discussion</title>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Contributions from tagged sources</title>
<sec id="Ch1.S3.SS1.SSS1">
  <label>3.1.1</label><title>Spatial distribution and temporal variation</title>
      <p id="d1e2305">Consistent with previous work (e.g, Karamchandani et al.,
2017; Lupaşcu and Butler, 2019; Butler et al., 2020), the hemispheric
O<inline-formula><mml:math id="M176" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> level, represented here by the LB source region, dominated the
monthly O<inline-formula><mml:math id="M177" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations in the UK during the entire study period with
a mean relative contribution of <inline-formula><mml:math id="M178" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 71 %, exhibiting a maximum
in May (mean 76 %), a minimum in June (mean 66 %), and an increase in
August (mean 72 %); see Fig. 3. The mean contribution from the Europe (Eu)
super-region (FRA, GER, NET, LUX, BEL, NOS, Rest_CEu, and
Rest_Eu; see Fig. 1a for delineation of regions and Table 2 for abbreviation definitions) accounts for nearly 16 % of the simulated monthly
mean O<inline-formula><mml:math id="M179" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>. The largest Eu super-region contributions are observed in the
UK locations that are closer to continental Europe and that together contain about
40 % of the UK population (East Anglia, the London area, the South East,
and Yorkshire and Humberside). The smallest Eu super-region contributions are observed over
Scotland (May and June) and Ireland (July and August). Emissions from UK
sources, on the other hand, accounted for about 13 % of the simulated
monthly O<inline-formula><mml:math id="M180" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>. The domestic contributions tend to increase in June and
decrease again in August. This monthly variation in the O<inline-formula><mml:math id="M181" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
contributions is mainly caused by larger photochemical activity taking place
during the summer months (e.g. Monks, 2005). Under
these conditions, O<inline-formula><mml:math id="M182" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> is formed by reactions involving the oxidation of
NMVOCs in the presence of NO<inline-formula><mml:math id="M183" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> and under the influence of solar radiation.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><?xmltex \currentcnt{3}?><?xmltex \def\figurename{Figure}?><label>Figure 3</label><caption><p id="d1e2381">Monthly relative contributions (%) to surface O<inline-formula><mml:math id="M184" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> in the
UK from May to August 2015 from <bold>(a)</bold> the lateral boundaries (LB) and <bold>(b)</bold> the
UK and the Eu super-region. The lower and upper end of the boxes indicate
the 25th and 75th percentiles, the central bar the median, and the
red square the mean. Whiskers indicate the maximum and minimum. Note the
differences in the scale in the <inline-formula><mml:math id="M185" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula> axis.</p></caption>
            <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://acp.copernicus.org/articles/22/13797/2022/acp-22-13797-2022-f03.png"/>

          </fig>

      <p id="d1e2412">The spatial distribution of the monthly O<inline-formula><mml:math id="M186" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations and the
absolute contribution of the source regions (UK, LB, and Eu super-region) to
surface O<inline-formula><mml:math id="M187" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> in the UK are shown in Fig. 4. The first column shows that
the monthly surface O<inline-formula><mml:math id="M188" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations are higher in May than during the
summer months, in particular over Ireland, most of the Atlantic Ocean, north
of the UK, Scandinavia, and the northern North Sea. This is consistent with the
Northern Hemisphere mid-latitude spring maximum (Monks, 2000), which is
characteristic of remote locations and attributed to both transport of
O<inline-formula><mml:math id="M189" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> from the stratosphere to the troposphere (Monks, 2000) and transport
of O<inline-formula><mml:math id="M190" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> produced from anthropogenically emitted precursors (NO<inline-formula><mml:math id="M191" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> and VOCs)
(Monks, 2000; Butler et al., 2018). By contrast, the south-east of the UK,
the southern North Sea, and continental Europe exhibit sustained high O<inline-formula><mml:math id="M192" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
mixing ratios throughout the entire analysed period (May to August),
reflecting a spring–summer maximum that is frequently attributed to
photochemical O<inline-formula><mml:math id="M193" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> production (Monks, 2000).</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F4" specific-use="star"><?xmltex \currentcnt{4}?><?xmltex \def\figurename{Figure}?><label>Figure 4</label><caption><p id="d1e2491">Spatial distribution of the monthly mean surface O<inline-formula><mml:math id="M194" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> from May
to August 2015. The first column depicts the mean O<inline-formula><mml:math id="M195" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratio in
May, June, July, and August; the absolute monthly contribution from the
lateral boundaries is shown in the second column; the third column shows the
contribution from UK emissions; and the contribution from the Eu
super-region, which includes emissions from the main shipping routes over the
European seas and the Atlantic, is presented in the fourth column.</p></caption>
            <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://acp.copernicus.org/articles/22/13797/2022/acp-22-13797-2022-f04.png"/>

          </fig>

      <p id="d1e2518">A marked latitudinal gradient is observed in the monthly O<inline-formula><mml:math id="M196" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing
ratios, in particular during June, July, and August. Over the ocean
areas, O<inline-formula><mml:math id="M197" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations tend to be higher at the lower latitudes and
in the North Sea; see Fig. 4e, i, and m. Mean O<inline-formula><mml:math id="M198" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios as low
as 22 ppbv (Fig. 4i) are observed in most of the UK and Scandinavia in July,
while mixing ratios as high as 32 ppbv (Fig. 4e) are calculated for southern
locations in the UK and western Europe in June. This is consistent with
previous estimates such as those in Butler et al. (2018). Part of the
latitudinal gradient in surface O<inline-formula><mml:math id="M199" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> over land can be attributed to the
changing O<inline-formula><mml:math id="M200" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios arriving from the Atlantic Ocean. Moreover,
high mixing ratios in the south-east UK during summertime are generally
associated with photochemical production of O<inline-formula><mml:math id="M201" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> (Monks et al., 2005), in
particular from anthropogenic NO<inline-formula><mml:math id="M202" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> and biogenic NMVOC emissions (Atkinson, 2000; Butler et al., 2018) as
well as transport of O<inline-formula><mml:math id="M203" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> rich air masses from continental Europe during
anticyclonic conditions (Jenkin et al., 2002; Lee et al., 2006; Francis et al., 2011; Romero-Alvarez
et al., 2022). Low mean O<inline-formula><mml:math id="M204" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios (as low as 20 ppbv), on the
other hand, are observed in the vicinity of the main urban centres, e.g. Greater Manchester, the Midlands, and the London area (first column, Fig. 4).
This is because strong titration by excessive local NO<inline-formula><mml:math id="M205" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> emissions takes
place over the main urban centres, whereas high O<inline-formula><mml:math id="M206" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> production rates are
expected in the outskirts following the progressive reduction in NO<inline-formula><mml:math id="M207" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>
concentration relative to that of NMVOCs (Jenkin, 2008). Note that the
latitudinal gradient across the UK is not evident in high-altitude areas in
Wales and northern England, which have relatively high concentrations of
O<inline-formula><mml:math id="M208" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>. This is because much of the time high-altitude areas are above the
shallow boundary layers that form over the lower-lying land and experience
therefore larger exposure to O<inline-formula><mml:math id="M209" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>.</p>
      <p id="d1e2649">A suitable way to identify the areas influenced by fresh NO<inline-formula><mml:math id="M210" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> emissions is
comparing the mixing ratios of O<inline-formula><mml:math id="M211" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and O<inline-formula><mml:math id="M212" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> (i.e. O<inline-formula><mml:math id="M213" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> <inline-formula><mml:math id="M214" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> NO<inline-formula><mml:math id="M215" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>). O<inline-formula><mml:math id="M216" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>
is considered a conservative quantity as it is, to a large extent, free from
the titration effect of NO <inline-formula><mml:math id="M217" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> O<inline-formula><mml:math id="M218" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> <inline-formula><mml:math id="M219" display="inline"><mml:mo>→</mml:mo></mml:math></inline-formula> NO<inline-formula><mml:math id="M220" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (Kley et al., 1994). The effect of titration for
July is evident in Fig. 5. When O<inline-formula><mml:math id="M221" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> is considered, the mixing ratios tend to
increase over the main urban centres such as London, Birmingham, Nottingham,
Sheffield, and Greater Manchester and to a lesser extent over Edinburgh and
Glasgow. The NO titration effect is also observed within the main urban
centres in continental Europe and along the shipping lanes over the North
Sea and the English Channel due to the high NO content of ship emissions
compared with those from NMVOCs (Aulinger et
al., 2016).</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F5" specific-use="star"><?xmltex \currentcnt{5}?><?xmltex \def\figurename{Figure}?><label>Figure 5</label><caption><p id="d1e2758">Close-up of the spatial distribution for July 2015 of <bold>(a)</bold> the mean
O<inline-formula><mml:math id="M222" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> mixing ratio (O<inline-formula><mml:math id="M223" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>+</mml:mo></mml:mrow></mml:math></inline-formula> NO<inline-formula><mml:math id="M224" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>) and <bold>(b)</bold> NO<inline-formula><mml:math id="M225" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>. Note
the different scales.</p></caption>
            <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/22/13797/2022/acp-22-13797-2022-f05.png"/>

          </fig>

      <p id="d1e2814">The decrease in the monthly average O<inline-formula><mml:math id="M226" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios towards the summer
months over the Atlantic Ocean and most of the British Isles coincides with
a progressive reduction in the contribution from LB O<inline-formula><mml:math id="M227" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> over the same
areas (second column in Fig. 4). Over remote marine areas, it is likely that
the decrease in total O<inline-formula><mml:math id="M228" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> is due to an increase in the photochemical
activity and concentration of water vapour during the summer months. O<inline-formula><mml:math id="M229" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
concentrations over land, on the other hand, are likely to be altered by
both the changing background contribution from over the ocean and
processes occurring at the regional and local scale (Jenkin, 2008). Such
processes include O<inline-formula><mml:math id="M230" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> scavenging near emission sources, changes in
meteorology (wind direction influencing transport and temperature and
radiation influencing photochemical production of O<inline-formula><mml:math id="M231" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>), and planetary
boundary layer stability (influencing vertical mixing and deposition) (Pilling et al.,
2009). In addition, LB O<inline-formula><mml:math id="M232" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> can be chemically lost near emission
sources, e.g. the Midlands and London area, shipping lanes, and over an
extended area on the southern part of the Atlantic Ocean, as shown in the
map of the net midday (11:00–14:00 UTC) near-surface LB O<inline-formula><mml:math id="M233" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> chemical
production rate in Fig. 6. The figure also shows how the absolute
contribution from the LB decreases southwards and eastwards. Over the
Atlantic, part of this can be attributed to a greater chemical O<inline-formula><mml:math id="M234" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> sink
due to the increase in photolysis of O<inline-formula><mml:math id="M235" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and subsequent production of OH
radicals from water vapour (Johnson et al.,
1999). Transport of O<inline-formula><mml:math id="M236" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> from the stratosphere might also influence the
spatial gradient in the contributions.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6"><?xmltex \currentcnt{6}?><?xmltex \def\figurename{Figure}?><label>Figure 6</label><caption><p id="d1e2920">Net midday (11:00–14:00 UTC) near-surface lateral-boundary
O<inline-formula><mml:math id="M237" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> chemical production rate in ppbv h<inline-formula><mml:math id="M238" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in July 2015. Note that O<inline-formula><mml:math id="M239" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> production is driven by tagged LB NO<inline-formula><mml:math id="M240" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> that has entered the model domain via the lateral boundaries.</p></caption>
            <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/22/13797/2022/acp-22-13797-2022-f06.png"/>

          </fig>

      <p id="d1e2968"><?xmltex \hack{\newpage}?>A marked reduction in LB O<inline-formula><mml:math id="M241" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> is observed over the UK in column 2, Fig. 4
(e.g. a decrease of <inline-formula><mml:math id="M242" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 10 ppbv between LB O<inline-formula><mml:math id="M243" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> over the
ocean and the UK). Depletion of surface O<inline-formula><mml:math id="M244" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> by dry deposition and
chemical loss processes within the UK, such as the reaction of O<inline-formula><mml:math id="M245" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> with
NO, may help explain the observed spatial gradient. Reductions in LB O<inline-formula><mml:math id="M246" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
due to the effect of local O<inline-formula><mml:math id="M247" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> scavenging by reaction with NO in the
urban centres as illustrated in Fig. 7 might be an additional cause.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><?xmltex \currentcnt{7}?><?xmltex \def\figurename{Figure}?><label>Figure 7</label><caption><p id="d1e3036">Close-up of the spatial distribution for July 2015 of <bold>(a)</bold> the lateral-boundary mean O<inline-formula><mml:math id="M248" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> mixing ratio (O<inline-formula><mml:math id="M249" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>+</mml:mo></mml:mrow></mml:math></inline-formula> NO<inline-formula><mml:math id="M250" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>) and <bold>(b)</bold> NO<inline-formula><mml:math id="M251" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>.
Note the different scales in <bold>(b)</bold>.</p></caption>
            <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://acp.copernicus.org/articles/22/13797/2022/acp-22-13797-2022-f07.png"/>

          </fig>

      <p id="d1e3094">Whereas the absolute contribution from the LB over the UK tends to decline
with distance towards the south-east, the absolute contribution of UK
anthropogenic NO<inline-formula><mml:math id="M252" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> emissions to the mean surface O<inline-formula><mml:math id="M253" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> over the UK (Fig. 4,
third column) decreases from the south-east to the north and west. The mean
contribution of the UK-to-UK surface O<inline-formula><mml:math id="M254" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations is marginal.
Over most of the north and the west, the UK contributions ranged from 1–3 ppbv. By contrast, maximum UK contributions can reach up to 7 ppbv in the
east and the Midlands during the summer months. These areas tend to be
drier, warmer, and sunnier than those regions further west and north,
features that are conducive to photochemical O<inline-formula><mml:math id="M255" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> formation (e.g. Coyle
et al., 2002; Jenkin, 2008). Furthermore, these regions contain some of the
UK's largest cities (e.g. London, Birmingham, Nottingham, Manchester, and
Leeds), which can lead to net O<inline-formula><mml:math id="M256" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> formation downwind of the emission
sources where the NO<inline-formula><mml:math id="M257" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> titration effect is reduced. Indeed, overall, the
south and east of the UK exhibit the highest midday (11:00–14:00) O<inline-formula><mml:math id="M258" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
chemical production from UK anthropogenic sources; see Fig. 8a. Lower
O<inline-formula><mml:math id="M259" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> chemical production is instead observed in the west and the north
beyond Yorkshire and Humberside, as shown in Fig. 8a. On the other hand, the
UK makes a positive contribution to O<inline-formula><mml:math id="M260" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, of around 4–8 ppbv, downwind
over continental Europe.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><?xmltex \currentcnt{8}?><?xmltex \def\figurename{Figure}?><label>Figure 8</label><caption><p id="d1e3181">Net midday (11:00–14:00 UTC) surface chemical production rate in
ppbv h<inline-formula><mml:math id="M261" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in July 2015 for O<inline-formula><mml:math id="M262" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> from the UK <bold>(a)</bold> and European anthropogenic
NO<inline-formula><mml:math id="M263" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> emissions <bold>(b)</bold>.</p></caption>
            <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://acp.copernicus.org/articles/22/13797/2022/acp-22-13797-2022-f08.png"/>

          </fig>

      <p id="d1e3227">The contribution from European NO<inline-formula><mml:math id="M264" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> emissions to the mean surface O<inline-formula><mml:math id="M265" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
over the UK (Fig. 4, fourth column) is comparable to that observed from the
UK contribution and tends to be higher along much of the eastern, southern,
and south-west borders, reaching up to 10 ppbv in East Anglia during July.
This reflects the effective transport of continental O<inline-formula><mml:math id="M266" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> by
south-easterly winds during high-O<inline-formula><mml:math id="M267" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>-pollution events. The European
contributions then decrease towards the northern and western areas of the
UK, with a minimum (1–3 ppbv) over Scotland and Ireland. Figure 8b
demonstrates that surface O<inline-formula><mml:math id="M268" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> from anthropogenic sources from the Eu
super-region is mainly produced outside the UK. This indicates that the
contribution from EU emissions to UK surface O<inline-formula><mml:math id="M269" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> is predominantly due to
transport of O<inline-formula><mml:math id="M270" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> rather than its NO<inline-formula><mml:math id="M271" display="inline"><mml:msub><mml:mi/><mml:mi>y</mml:mi></mml:msub></mml:math></inline-formula> precursors. Also, O<inline-formula><mml:math id="M272" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> from EU
sources is chemically lost near the largest cities in the UK (e.g. the London
area, Birmingham, Nottingham, Manchester, and Leeds) and in the English
Channel and North Sea, as shown in the plot of the net midday surface chemical
O<inline-formula><mml:math id="M273" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> production rate from European anthropogenic NO<inline-formula><mml:math id="M274" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> emissions in Fig. 8b. Chemical production is generally concentrated over central Europe and
the Baltic Sea. By contrast, chemical loss happens within the main urban
centres; near point sources; and along the shipping routes around western
Europe, the North Sea, and the English Channel, e.g. sites previously identified
to be influenced by NO<inline-formula><mml:math id="M275" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> titration.</p>
</sec>
<sec id="Ch1.S3.SS1.SSS2">
  <label>3.1.2</label><title>Regional dependence</title>
      <p id="d1e3348">The modelled contributions of the different source regions to the UK
receptor regions for May are presented in Fig. 9. The figure contains 12 nested pie charts, each one associated with a receptor region in the UK that
shows the absolute and relative contributions to O<inline-formula><mml:math id="M276" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios in
the UK from all anthropogenic NO<inline-formula><mml:math id="M277" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> sources, including ship emissions. Note
that the contributions from the Rest_Eu source need to be
carefully interpreted since these include emissions from the Republic of
Ireland, Iberian Peninsula, southern EU, south-eastern EU, eastern EU, and
northern EU and ship emissions from the Atlantic, Baltic Sea, and Mediterranean.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><?xmltex \currentcnt{9}?><?xmltex \def\figurename{Figure}?><label>Figure 9</label><caption><p id="d1e3371">Simulated contributions to the mean O<inline-formula><mml:math id="M278" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios in May
2015 over 12 receptors regions in the UK. The outer circle depicts the
contributions from LB, the UK, the Eu super-region (Eu), and the NOS. The inner
circle breaks down the contribution from the Eu super-region into four
sub-regions: Benelux (BNL), France (FRA), Germany (GER), and the rest of
Europe (Rest_Eu). Note that the values correspond to the
contributions from anthropogenic sources only, with the exception of the LB contributions,
which include O<inline-formula><mml:math id="M279" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> of stratospheric origin.</p></caption>
            <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://acp.copernicus.org/articles/22/13797/2022/acp-22-13797-2022-f09.png"/>

          </fig>

      <p id="d1e3398">The LB source is the principal contributor to the modelled mean O<inline-formula><mml:math id="M280" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing
ratios in every receptor region. The contributions peak in May (mean
absolute contribution 25 ppbv), reflecting the seasonal cycling in the
northern hemispheric background O<inline-formula><mml:math id="M281" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> (e.g. Monks, 2000; Pilling et al., 2009).
Contributions from this source are more prominent in the regions located in
the north, east, and north-west of the UK, e.g. Scotland (30 ppbv),
Northern Ireland (28 ppbv), North East (27 ppbv), the North West (26 ppbv), and Wales
(26 ppbv). These regions contain about 20 % of the UK population and are
primarily impacted by westerly flows and associated hemispheric O<inline-formula><mml:math id="M282" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
background due to their geographical position (Pilling et al., 2009). Also, they
generally experience less than 10 d with O<inline-formula><mml:math id="M283" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations above the
EU limit of 120 <inline-formula><mml:math id="M284" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g m<inline-formula><mml:math id="M285" 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> (DEFRA, 2020) because of low NO<inline-formula><mml:math id="M286" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>
emissions locally. The contributions from the LB source in the South East,
East Anglia, and East Midlands, on the other hand, can be up to 8 ppbv
smaller than in the east of the UK, particularly during summertime; see Figs. S10–S11 in the Sect. S2 in the Supplement.</p>
      <p id="d1e3468">The UK contributions are generally more significant in the east, south-east,
and Midlands, showing a maximum value in June and July in every receptor
area (Figs. S10 and S11 in the Supplement). The source region
provides up to 20 % of the surface O<inline-formula><mml:math id="M287" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios in East Anglia,
18 % in the London area and East Midlands, and 16 % in Yorkshire and Humberside and the
South East, making it the second-biggest source of O<inline-formula><mml:math id="M288" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> in these
locations after the LB. This area incorporates about 50 % of the UK population
and often experiences more than 10 d with O<inline-formula><mml:math id="M289" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations above
the EU and UK O<inline-formula><mml:math id="M290" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> threshold (concentration <inline-formula><mml:math id="M291" display="inline"><mml:mrow><mml:mi mathvariant="italic">&gt;</mml:mi><mml:mn mathvariant="normal">120</mml:mn></mml:mrow></mml:math></inline-formula> and 100 <inline-formula><mml:math id="M292" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g m<inline-formula><mml:math id="M293" 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>, respectively) (DEFRA, 2020). The Eu super-region, on the other
hand, is the second-largest source region in the northern and western UK,
with contributions in summertime reaching up to 10 % in Scotland and
16 % in the South West, England, and 14 % in Wales. Regardless, this source
region still significantly impacts the South East, East Anglia, and London,
where the relative contributions can increase from 13 %, 12 %, and 13 % in May
to 16 %, 15 %, and 16 %, respectively, in July.</p>
      <p id="d1e3538">The contributions from ship emissions from the North Sea and English Channel
are significantly lower than those from UK sources and the Eu super-region
(3 %–4 % of the total contribution in the South East and East Anglia in May
and up to 6 % of the total surface O<inline-formula><mml:math id="M294" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> during the summer months). The
impact is also less important in the west than in the east and south of the
UK due to the proximity with the region. As for the relative contributions
from the different Eu sub-regions (inner circle in Fig. 9), these are
largely influenced by the geographical situation of the receptors and the
predominant wind direction. In every receptor, the principal contributor
from the Eu super-region is the Rest_Eu source region,
providing between 60 %–70 % of the Eu super-region O<inline-formula><mml:math id="M295" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> in May and up to
83 % of the O<inline-formula><mml:math id="M296" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> during summertime. The relative contributions of the
Rest_Eu region are larger in the northern and western
locations, in particular during the summer months when there is a marked
difference in the distribution of the contributions across the UK regions.
The summer months see an increase in the input from France, Germany, and the
Benelux region, in particular during anticyclonic weather conditions and
over the receptor regions located in the south and east of the UK (e.g.
the South East, East Anglia, the London area, and the East Midlands); see
Figs. S10–S11 in the Supplement. This is consistent with
results of studies on extreme O<inline-formula><mml:math id="M297" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> in the EU and the UK reporting an
increase in surface O<inline-formula><mml:math id="M298" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations under anticyclonic conditions
(e.g. Pope et al., 2016; Ordóñez et al., 2017; Romero-Alvarez et
al., 2022). Romero-Alvarez et al. (2022), in particular, have shown that a
wide area of high pressure centred over the Netherlands coast affected most
of England during the first days of July 2015. During the same period,
regions such as East Anglia reported increases in O<inline-formula><mml:math id="M299" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios
of up to 16.6 ppbv h<inline-formula><mml:math id="M300" 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> that overlapped with wind direction changes from
south-south-west to south-south-east.</p>
      <p id="d1e3608">Depending on the predominance of the wind direction (south-south-east and
south-south-west), O<inline-formula><mml:math id="M301" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> from anthropogenic sources within France can
impact both the west and the east of the UK. The contribution is greater in
the southern UK due to the proximity to the source region. The contributions
from the Benelux region and Germany are more significant in the east of the
UK due to the proximity with the continent and association with easterly
flows (east and south-east); about 14 % and 6 % of the Eu super-region in East Anglia during the summer months come from these two source
regions, respectively.</p>
      <p id="d1e3620">Notably, anticyclonic conditions and easterly winds in the UK have been
associated with enhanced O<inline-formula><mml:math id="M302" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations, whereas cyclonic conditions
and westerly winds have been linked to O<inline-formula><mml:math id="M303" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> transport from the UK
mainland and cleaner air from the North Atlantic (Jenkin et al., 2002; Pope
et al., 2016; Romero-Alvarez et al., 2022). The contribution patterns
described above may thus serve as predictors of future O<inline-formula><mml:math id="M304" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> source
apportionment over the UK regions.</p>
</sec>
</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><?xmltex \opttitle{Contributions to regulatory O${}_{{3}}$ metrics}?><title>Contributions to regulatory O<inline-formula><mml:math id="M305" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> metrics</title>
<sec id="Ch1.S3.SS2.SSS1">
  <label>3.2.1</label><?xmltex \opttitle{MDA8 O${}_{{3}}$ exceeding 50\,ppbv}?><title>MDA8 O<inline-formula><mml:math id="M306" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> exceeding 50 ppbv</title>
      <p id="d1e3686">The mean contribution from each source region for the hours when the MDA8
O<inline-formula><mml:math id="M307" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> exceeded 50 ppbv at each receptor area from May to August is
presented in Fig. 10. The figure shows large contributions from source
regions that were not seen as dominant sources. France, for example, becomes
a major source, particularly in receptors in densely populated areas such as
the south and east of the UK. The absolute mean contributions at the sites
sometimes exceed the input from the LB O<inline-formula><mml:math id="M308" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> (mean value ranging between
10 and 15 ppbv and maximum reaching up to 35 ppbv in the London area). The
impact of UK NO<inline-formula><mml:math id="M309" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> on O<inline-formula><mml:math id="M310" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> varies across the sites, but in general, its
share increased from the south-east to the north. In the Midlands, the North
East, the North West, Scotland, and Yorkshire and Humberside, O<inline-formula><mml:math id="M311" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> from UK sources becomes
dominant, surpassing the LB mean input in most receptors. In the remaining
locations, the UK source is the third-largest input for surface O<inline-formula><mml:math id="M312" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
except for the South West, where most of the O<inline-formula><mml:math id="M313" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> comes from France (mean
<inline-formula><mml:math id="M314" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 18 ppbv), the LB (mean <inline-formula><mml:math id="M315" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 14 ppbv), NOS (mean
<inline-formula><mml:math id="M316" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 6 ppbv), and Rest_Eu (mean <inline-formula><mml:math id="M317" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 8 ppbv). The impact from the shipping component (NOS) also becomes important
in all receptor regions with an estimated mean of 4–7 ppbv. O<inline-formula><mml:math id="M318" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> from
central Eu, Germany, the Netherlands, Belgium, and Luxembourg, on the other hand,
is almost negligible in the west of the UK (mean less than 1 ppbv). However,
its impact increases towards the east and north with mean values ranging
about 1–6 ppbv (e.g. in the East Midlands, the North East, Yorkshire and
Humberside, and Scotland), reflecting the efficient transport of
pollutant-loaded air masses under anticyclonic conditions.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10" specific-use="star"><?xmltex \currentcnt{10}?><?xmltex \def\figurename{Figure}?><label>Figure 10</label><caption><p id="d1e3793">Hourly contributions (in ppbv) to surface O<inline-formula><mml:math id="M319" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> at 11 UK
receptor regions from 10 source regions (UK, background (LB), the
Netherlands, Luxembourg, Belgium, France, Germany, the rest of central Europe
(Rest_CEu), the North Sea and English Channel (NOS), and the rest of
Eu) during days when the MDA8 is above 50 ppbv between May and August. The
lower and upper ends of the boxes indicate the 25th and 75th
percentiles, the dashed black line the median, the white boxes the mean, and
the whiskers the minima and maxima.</p></caption>
            <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://acp.copernicus.org/articles/22/13797/2022/acp-22-13797-2022-f10.png"/>

          </fig>

</sec>
<sec id="Ch1.S3.SS2.SSS2">
  <label>3.2.2</label><?xmltex \opttitle{MDA8 O${}_{{3}}$ exceeding 60\,ppbv}?><title>MDA8 O<inline-formula><mml:math id="M320" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> exceeding 60 ppbv</title>
      <p id="d1e3829">Figure 11 shows the mean contribution at each receptor area to hourly surface
O<inline-formula><mml:math id="M321" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> when the MDA8 O<inline-formula><mml:math id="M322" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> exceeded the 60 ppbv thresholds. There were
two occasions when the modelled MDA8 exceeded 60 ppbv, the main occasion
being the episode on 1 July. Romero-Alvarez et al. (2022) have shown
that MDA8 O<inline-formula><mml:math id="M323" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> above 50 ppbv in the South East and East Anglia regions in
July 2015 coincided with days when easterly winds prevailed (east-south-east
flows). In contrast, MDA8 O<inline-formula><mml:math id="M324" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> above 60 ppbv coincided with a shift in
the wind direction from east-south-east to south-south-east and south and a
sharp rise in the surface temperature.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F11" specific-use="star"><?xmltex \currentcnt{11}?><?xmltex \def\figurename{Figure}?><label>Figure 11</label><caption><p id="d1e3870">Hourly contributions (in ppbv) to surface O<inline-formula><mml:math id="M325" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> at 5 UK
receptor regions from 10 source regions (UK, background (LB), the
Netherlands, Luxembourg, Belgium, France, Germany, the rest of central Europe
(Rest_CEu), the North Sea and English Channel (NOS), and the rest of
Eu) during days when the MDA8 is above 60 ppbv between May and August. The
lower and upper ends of the boxes indicate the 25th and 75th
percentiles, the dashed black line the median, the white boxes the mean, and
the whiskers the minima and maxima.</p></caption>
            <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://acp.copernicus.org/articles/22/13797/2022/acp-22-13797-2022-f11.png"/>

          </fig>

      <p id="d1e3888">France was the most significant contributor to the build-up of O<inline-formula><mml:math id="M326" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> when
the mixing ratios exceeded the EU threshold in the South East (mean
<inline-formula><mml:math id="M327" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 18 ppbv), East Anglia (mean <inline-formula><mml:math id="M328" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 21 ppbv), and
the London area (mean <inline-formula><mml:math id="M329" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 26 ppbv) because convergence of
westerly and south-easterly winds in the west of the UK diverted the
contributions of domestic sources from these regions, as reported in
Romero-Alvarez et al. (2022). O<inline-formula><mml:math id="M330" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> from UK NO<inline-formula><mml:math id="M331" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> emissions, on the other
hand, has a greater impact on the East Midlands (mean <inline-formula><mml:math id="M332" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 16 ppbv) and Yorkshire and Humberside (mean <inline-formula><mml:math id="M333" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 15 ppbv). In the
South East and the London area, the contributions from Rest_Eu equal those from UK O<inline-formula><mml:math id="M334" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, while the influence is comparable to that
from the west and central Europe in the rest of the regions. As in the
contributions to the MDA8 O<inline-formula><mml:math id="M335" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> threshold of 50 ppbv above, the lateral-boundary component remained nearly constant in all receptor areas with a
mean contribution of about 12 ppbv. This is because most of the UK's weather
was dominated by anticyclonic conditions. The impacts from the North Sea and
the English Channel are also important in all receptor regions, with a mean
between 4–7 ppbv. Results suggest that ship emissions along these routes
affect the air quality of the UK, particularly over the east and south-east.
However, the current model configuration does not consider the chemical
evolution of the different emitted species (chemical loss and production
rates) during the dispersion of the ship plume. In fact, once species are
emitted, they are instantaneously mixed in each model grid cell (27 km <inline-formula><mml:math id="M336" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 27 km). In the case of chemically reactive species such as NO<inline-formula><mml:math id="M337" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>, this can lead
to overestimations of both NO<inline-formula><mml:math id="M338" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> and O<inline-formula><mml:math id="M339" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations due to the
non-linearity of the chemical processes involving NO<inline-formula><mml:math id="M340" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> and O<inline-formula><mml:math id="M341" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> evolution
during the dispersion of the ship plume (e.g. Huszar et al., 2010; Van Der
Werf et al., 2010).</p><?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S3.SS2.SSS3">
  <label>3.2.3</label><title>AOT40 index</title>
      <p id="d1e4034">The average simulated AOT40 for 2015 in the two most relevant arable areas
in the UK – East Anglia and the South East – is 3674 and 1833 <inline-formula><mml:math id="M342" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g m<inline-formula><mml:math id="M343" 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> h<inline-formula><mml:math id="M344" 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>, respectively (the target value for the EU and UK is <inline-formula><mml:math id="M345" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 18 000 <inline-formula><mml:math id="M346" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g m<inline-formula><mml:math id="M347" 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> h<inline-formula><mml:math id="M348" 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>). Figure 12 shows the source
contributions to the surface O<inline-formula><mml:math id="M349" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> when the mixing ratio exceeded 40 ppbv
during the daytime hours (08:00 and 20:00) central European time from May to
July in two receptor regions in the UK. When exceedances to the hourly
surface O<inline-formula><mml:math id="M350" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mixing ratios above 40 ppbv are considered, the LB component
becomes the dominant source in both receptor regions (estimated mean
concentration between 21–24 ppbv) as its threshold is close to the
tropospheric baseline ozone level associated with maritime North Atlantic air
masses. The second-largest contributor is the UK with a higher impact in the
East Anglia region (estimated mean concentration 10 ppbv) than in the South
East (estimated mean concentration 6 ppbv). The third, fourth, and fifth
contributions in East Anglia come from the Rest_Eu and
Rest_CEu regions and France, while in the South East the
contributions come from the North Sea and English Channel,
Rest_Eu, and Germany. The contributions from the Netherlands,
Belgium, and Luxembourg become almost negligible.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F12" specific-use="star"><?xmltex \currentcnt{12}?><?xmltex \def\figurename{Figure}?><label>Figure 12</label><caption><p id="d1e4129">Hourly contributions (in ppbv) to surface O<inline-formula><mml:math id="M351" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> at 2 UK
receptor regions from 10 source regions (UK, background (LB), the
Netherlands, Luxembourg, Belgium, France, Germany, the rest of central Europe,
the North Sea and English Channel (NOS), and the rest of Eu) for the AOT40 between May
and August. The lower and upper ends of the boxes indicate the 25th and
75th percentiles, the dashed black line the median, the white boxes the
mean, and the whiskers the minima and maxima.</p></caption>
            <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://acp.copernicus.org/articles/22/13797/2022/acp-22-13797-2022-f12.png"/>

          </fig>

      <p id="d1e4147">Note that the AOT40 metric assesses the impacts of O<inline-formula><mml:math id="M352" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> on the vegetation
by considering an O<inline-formula><mml:math id="M353" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> threshold (e.g. concentrations above 40 ppbv)
during the months when plant growth is most likely to be affected and when
daytime O<inline-formula><mml:math id="M354" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations are at their highest. However, research
experiments have shown that the response of plants to O<inline-formula><mml:math id="M355" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> exposure is
non-linear due to a mismatch between the peak daytime O<inline-formula><mml:math id="M356" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations
and stomatal opening (Heath et al.,
2009). This means that the effective amount of O<inline-formula><mml:math id="M357" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> taken up by plants is
not always correlated to the ambient O<inline-formula><mml:math id="M358" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations. The AOT40 index
does not account for the plant's physiological control of stomatal opening,
which limits the potential of the index to accurately assess the impacts of
O<inline-formula><mml:math id="M359" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> on the vegetation. Future work should consider flux-based metrics,
which have proven to be more suitable for ozone risk assessment on plants as
they take into account the ambient concentration of O<inline-formula><mml:math id="M360" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, the
physiological control on stomatal openings, and the efficiency of the leaf
antioxidant system (Fares et al., 2010) as well as improved the O<inline-formula><mml:math id="M361" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
deposition routines in WRF-Chem so that they can take into account factors
such as stomatal opening cycles.</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <label>4</label><title>Conclusions</title>
      <p id="d1e4251">An O<inline-formula><mml:math id="M362" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> tagging technique within the WRF-Chem model was used to
investigate the origin of surface O<inline-formula><mml:math id="M363" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> from May to August 2015 and the
contribution of different source regions to O<inline-formula><mml:math id="M364" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> regulatory metrics in
the UK. Evaluation against observations presented in the Supplement has shown that the model setup gives a good representation of
O<inline-formula><mml:math id="M365" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> in the European domain.</p>
      <p id="d1e4290"><?xmltex \hack{\newpage}?>Domain-wide examination demonstrates that the hemispheric O<inline-formula><mml:math id="M366" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, here
represented by lateral-boundary O<inline-formula><mml:math id="M367" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, has the largest impact on the
concentrations of O<inline-formula><mml:math id="M368" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> in the UK, with an estimated 71 % of the
modelled monthly mean surface O<inline-formula><mml:math id="M369" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> coming from this source region. About
16 % of modelled surface O<inline-formula><mml:math id="M370" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> is produced from anthropogenic NO<inline-formula><mml:math id="M371" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>
emissions within the EU that contain lumped NO<inline-formula><mml:math id="M372" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> emissions from continental
Europe; the Republic of Ireland; and ship emissions in the Atlantic,
North Sea, Baltic Sea, and Mediterranean. UK emissions (England,
Scotland, Wales, and Northern Ireland) contributed 13 %.</p>
      <p id="d1e4358">Assessment of the contributions to different receptor regions in the UK
revealed that the UK relative contribution to UK surface O<inline-formula><mml:math id="M373" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> tends to be
higher in June and July with a marked spatial gradient, with high mixing
ratios obtained in the south-east and lower values in the north and west. In
fact, UK NO<inline-formula><mml:math id="M374" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> emissions are the second-largest contributor to surface O<inline-formula><mml:math id="M375" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
in the East Midlands, the West Midlands, Yorkshire and Humberside, East
Anglia, the South East, and the London area after the lateral-boundary
source region. The monthly and spatial variation in the contribution of UK
NO<inline-formula><mml:math id="M376" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> emissions to UK surface O<inline-formula><mml:math id="M377" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> is primarily caused by larger
photochemical activity taking place during the summer months in the south
and downwind of emission sources. Similarly, the absolute contribution from
European sources to UK surface O<inline-formula><mml:math id="M378" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> tends to be higher in June and July
and along much of the eastern, southern, and south-west borders, reflecting
the effective transport of continental O<inline-formula><mml:math id="M379" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> by south-easterly winds
during O<inline-formula><mml:math id="M380" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> pollution events. The tagging technique also shows that
O<inline-formula><mml:math id="M381" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> from this region is generally transported to the UK rather than
produced in situ.</p>
      <p id="d1e4443">O<inline-formula><mml:math id="M382" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> tagging has also made it possible to demonstrate that more stringent
emission controls would be required in different source regions for
compliance with UK and EU O<inline-formula><mml:math id="M383" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> standards, e.g. MDA8 O<inline-formula><mml:math id="M384" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> of 50 and 60 ppbv. Emission controls in France, in particular, would significantly
reduce O<inline-formula><mml:math id="M385" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations in densely populated areas such as the South
East, the South West, and East Anglia, while domestic emission controls are more
relevant for the Midlands and the north of the UK. Exposure thresholds, such
as those considered in the AOT40 O<inline-formula><mml:math id="M386" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> metric, are instead most affected
by lateral-boundary components in the first place followed by UK NO<inline-formula><mml:math id="M387" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> emissions.
Emission controls in regions such as the East Midlands, the West Midlands,
Yorkshire and Humberside, East Anglia, the South East, and the London
area will aid in the mitigation of the impacts on crops. Nonetheless,
emission controls will also be necessary over the larger Northern Hemisphere
area.</p>
      <p id="d1e4502">The results from model simulation should be interpreted in the context of
the observed bias in O<inline-formula><mml:math id="M388" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> (domain mean bias (MB) <inline-formula><mml:math id="M389" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3.71</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M390" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g m<inline-formula><mml:math id="M391" 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>) and the underestimation of the number of days with MDA8
O<inline-formula><mml:math id="M392" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> above 50 and 60 ppbv and the AOT40 metric. Also, controlling emissions
of NO would not necessarily translate into a reduction in O<inline-formula><mml:math id="M393" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
concentration in the UK. In fact, for the AOT40 measure in rural regions it
seems that reducing UK emissions might well still help improve the situation,
whereas for urban regions, reducing NO<inline-formula><mml:math id="M394" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> will increase O<inline-formula><mml:math id="M395" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations
due to a reduction in the titration effect. In this regard, future work
should consider extending the tagging mechanism to include the competing
NO<inline-formula><mml:math id="M396" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>–VOC interactions in O<inline-formula><mml:math id="M397" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> production. Emission perturbation studies
might also complement the investigation by adding an understanding of
response of O<inline-formula><mml:math id="M398" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> to different emission control scenarios.</p>
</sec>

      
      </body>
    <back><notes notes-type="codedataavailability"><title>Code and data availability</title>

      <p id="d1e4615">The WRF-Chem model is publicly available at
<uri>http://www2.mmm.ucar.edu/wrf/users/download/get_source.html</uri> (last access: 15 December 2020; NCAR, 2020).
The modification described in Sect. 2 as well as the model output is
available online via Zenodo at <ext-link xlink:href="https://doi.org/10.5281/zenodo.6968040" ext-link-type="DOI">10.5281/zenodo.6968040</ext-link> (Romero-Alvarez, 2022a) and <ext-link xlink:href="https://doi.org/10.5281/zenodo.6968649" ext-link-type="DOI">10.5281/zenodo.6968649</ext-link> (Romero-Alvarez, 2022b).</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e4627">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/acp-22-13797-2022-supplement" xlink:title="pdf">https://doi.org/10.5194/acp-22-13797-2022-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e4636">JRA designed the study, conducted the numerical simulations, and analysed the
data. The original tagging method was developed by AL and TB and adapted by
JRA for this study. DL and SAN developed the emissions pre-processor. JRA
wrote the paper under the supervision of CER, SD, and AB, with contribution
from all authors.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e4642">At least one of the (co-)authors is a member of the editorial board of <italic>Atmospheric Chemistry and Physics</italic>. The peer-review process was guided by an independent editor, and the authors also have no other competing interests to declare.</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <p id="d1e4651">Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e4657">The authors would like to thank Fabio Di Gioacchino and Ravan Ahmadov
for providing feedback. We thank Leo Earl and Jimmy Cross (high-performance
computing UEA) for their support in the compilation of the WRF-Chem model.
We thank TNO for access to the TNO-MACC-III emissions inventory. The
WRF-Chem simulations were performed on the high-performance research computer of the University of East Anglia, UK.
We acknowledge the use of the WRF-Chem preprocessor tools (bio_emiss and fire_emiss, mozbc) provided by the Atmospheric Chemistry Observations &amp; Modeling Lab (ACOM) of NCAR.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e4662">This research has been supported by the European Research Council; FP7 Ideas (ASIBIA (grant no. 616938)); the University of East Anglia; the Federal Ministry of Education and Research of Germany (BMBF); and the Ministry for Science, Research and Culture of the state of Brandenburg (MWFK; grant no. 01US1701).</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e4668">This paper was edited by Andreas Hofzumahaus and reviewed by two anonymous referees.</p>
  </notes><ref-list>
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