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

    <article-meta>
      <article-id pub-id-type="doi">10.5194/acp-17-8771-2017</article-id><title-group><article-title>Response of the global surface ozone distribution to
Northern Hemisphere sea surface temperature changes: implications<?xmltex \hack{\newline}?> for
long-range transport</article-title>
      </title-group><?xmltex \runningtitle{Implications for long-range transport}?><?xmltex \runningauthor{K. Yi et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Yi</surname><given-names>Kan</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Liu</surname><given-names>Junfeng</given-names></name>
          <email>jfliu@pku.edu.cn</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Ban-Weiss</surname><given-names>George</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Zhang</surname><given-names>Jiachen</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-4981-2328</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Tao</surname><given-names>Wei</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Cheng</surname><given-names>Yanli</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Tao</surname><given-names>Shu</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Laboratory for Earth Surface Processes, College of Urban and
Environmental Sciences, Peking University, Beijing, China</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Sonny Astani Department of Civil and Environmental Engineering,
University of Southern California, Los Angeles, <?xmltex \hack{\newline}?>CA, USA</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Chinese Academy of Meteorological Sciences, Beijing, China</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Junfeng Liu (jfliu@pku.edu.cn)</corresp></author-notes><pub-date><day>19</day><month>July</month><year>2017</year></pub-date>
      
      <volume>17</volume>
      <issue>14</issue>
      <fpage>8771</fpage><lpage>8788</lpage>
      <history>
        <date date-type="received"><day>10</day><month>November</month><year>2016</year></date>
           <date date-type="rev-request"><day>5</day><month>December</month><year>2016</year></date>
           <date date-type="rev-recd"><day>6</day><month>June</month><year>2017</year></date>
           <date date-type="accepted"><day>22</day><month>June</month><year>2017</year></date>
      </history>
      <permissions>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions><self-uri xlink:href="https://acp.copernicus.org/articles/.html">This article is available from https://acp.copernicus.org/articles/.html</self-uri>
<self-uri xlink:href="https://acp.copernicus.org/articles/.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/.pdf</self-uri>


      <abstract>
    <p>The response of surface ozone (O<inline-formula><mml:math id="M1" 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> concentrations to
basin-scale warming and cooling of Northern Hemisphere oceans is investigated
using the Community Earth System Model (CESM). Idealized, spatially uniform
sea surface temperature (SST) anomalies of <inline-formula><mml:math id="M2" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>1 <inline-formula><mml:math id="M3" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C are
individually superimposed onto the North Pacific, North Atlantic, and North
Indian oceans. Our simulations suggest large seasonal and regional
variability in surface 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> in response to SST anomalies, especially in
the boreal summer. The responses of surface 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> associated with
basin-scale SST warming and cooling have similar magnitude but are opposite
in sign. Increasing the SST by 1 <inline-formula><mml:math id="M6" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C in one of the oceans generally
decreases the surface O<inline-formula><mml:math id="M7" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations from 1 to 5 ppbv. With fixed
emissions, SST increases in a specific ocean basin in the Northern Hemisphere
tend to increase the summertime surface 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> concentrations over upwind
regions, accompanied by a widespread reduction over downwind continents. We
implement the integrated process rate (IPR) analysis in CESM and find that
meteorological 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> transport in response to SST changes is the key
process causing surface O<inline-formula><mml:math id="M10" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> perturbations in most cases. During the
boreal summer, basin-scale SST warming facilitates the vertical transport of
O<inline-formula><mml:math id="M11" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> to the surface over upwind regions while significantly reducing the
vertical transport over downwind continents. This process, as confirmed by
tagged CO-like tracers, indicates a considerable suppression of
intercontinental 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> transport due to increased tropospheric stability at
lower midlatitudes induced by SST changes. Conversely, the responses
of chemical 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> production to regional SST warming can exert positive
effects on surface 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> levels over highly polluted continents, except
South Asia, where intensified cloud loading in response to North Indian SST
warming depresses both the surface air temperature and solar radiation, and
thus photochemical 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> production. Our findings indicate a robust linkage
between basin-scale SST variability and continental surface 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>
pollution, which should be considered in regional air quality management.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>High ground-level ozone (O<inline-formula><mml:math id="M17" 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> concentrations adversely impact human
health by inducing respiratory diseases and threaten food security by
lowering crop yields (Brown and Bowman, 2013; WHO, 2013; Chuwah et al.,
2015). Considering the ecotoxicity of 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>, understanding the physical
and chemical mechanisms that control atmospheric 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> concentrations is
of great importance. Surface 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> is produced in the atmosphere via
photochemical processing of multiple precursors including volatile organic
compounds (VOCs), carbon monoxide (CO) and nitrogen oxides (NO,
NO<inline-formula><mml:math id="M21" 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>. These precursors originate from both natural and anthropogenic
sources (Vingarzan, 2004; Simon et al., 2014; Jiang et al., 2016). In
addition to local production, transport 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> and its precursors from
upwind regions and the upper atmosphere can also influence surface O<inline-formula><mml:math id="M23" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
abundance. Stratospheric intrusion events, which lead to vertical
downmixing of ozone-rich air, can significantly elevate surface O<inline-formula><mml:math id="M24" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
during spring (Grewe, 2006; Lin et al., 2012b; Zhang et al., 2014). The
long-range transport of O<inline-formula><mml:math id="M25" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and its precursors has been extensively
studied, and their intercontinental impacts have been evaluated using
measurements and model simulations (Parrish et al., 1993; Fehsenfeld et
al., 1996; Wild and Akimoto, 2001; Creilson et al., 2003; Simmonds et al.,
2004; Fiore et al., 2009; Brown-Steiner and Hess, 2011; Lin et al., 2012a, 2014).</p>
      <p>Both photochemistry and dynamic transport collectively affect surface
O<inline-formula><mml:math id="M26" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> levels. Important meteorological factors that can impact both
photochemistry and transport include atmospheric circulations, solar
radiation, air temperature, and relative humidity. Atmospheric circulation
considerably determines the timescale and pathway of O<inline-formula><mml:math id="M27" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> transport
(Bronnimann et al., 2000; Auvray and Bey, 2005; Hess and Mahowald, 2009).
The efficiency of 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> transport varies concurrently with atmospheric
circulations on different scales. Knowland et al. (2015) demonstrated
the important role of midlatitude storms in redistributing 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>
concentrations during springtime. The North Atlantic Oscillation (NAO)
significantly affects surface and tropospheric O<inline-formula><mml:math id="M30" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations over
most of Europe by influencing the intercontinental transport of air masses
(Creilson et al., 2003; Christoudias et al., 2012; Pausata et al., 2012).
Lamarque and Hess (2004) indicated that the Arctic Oscillation (AO) can
modulate springtime tropospheric 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> burdens over North America. The
shift in the position of the jet stream associated with climate change was
found to strongly affect summertime surface O<inline-formula><mml:math id="M32" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> variability over eastern
North America (Barnes and Fiore, 2013). Increases in solar radiation and
air temperature can increase the rate of the chemical production 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>
and modulate the biogenic emissions of O<inline-formula><mml:math id="M34" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> precursors (Guenther,
1993; Sillman and Samson, 1995; Peñuelas and Llusià, 2001),
especially over highly polluted regions (Ordónez et al., 2005;
Rasmussen et al., 2012; Pusede et al., 2015). Increases in humidity can
enhance the chemical destruction of O<inline-formula><mml:math id="M35" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and shorten its atmospheric
lifetime (Johnson et al., 1999; Camalier et al., 2007). Therefore,
changes in meteorological conditions on various spatial and temporal scales
play key roles in determining the surface O<inline-formula><mml:math id="M36" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> distribution.
Understanding the mechanisms and feedbacks of the interactions between
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> and climate has received increasing attention and will be essential
for future surface O<inline-formula><mml:math id="M38" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> mitigation (Jacob and Winner, 2009; Doherty et
al., 2013).</p>
      <p>Sea surface temperature (SST) is an important indicator that characterizes
the state of the climate system. Its variations strongly perturb the mass
and energy exchange between the ocean and atmosphere (Small et al.,
2008; Gulev et al., 2013), which influence atmospheric circulation,
atmospheric temperature, and specific humidity (Sutton and Hodson, 2005;
Frankignoul and Sennéchael, 2007; Li et al., 2008) from regional to
global scales (Glantz et al., 1991; Wang et al., 2000; Goswami et al.,
2006). It also affects cloud formation and consequently influences incoming
solar radiation (Deser et al., 1993; Fallmann et al., 2017). Numerous
studies have shown that SST changes over different oceans and at different
latitudes lead to significantly different meteorological and climate
responses (Webster, 1981; Lau and Nath, 1994; Lau, 1997; Sutton and
Hodson, 2007; Sabeerali et al., 2012; Ueda et al., 2015). Details on the
SST–climate relationships over individual oceanic regions are summarized in
Kushnir et al. (2002).</p>
      <p>The Intergovernmental Panel on Climate Change Fifth Assessment Report
(IPCC, 2013) provides strong evidences in Chapter 2 that global SSTs
are generally increasing due to the impacts of anthropogenic forcings on
global climate change. In addition, regional SST exhibits natural periodic
or irregular oscillations with timescales ranging from months to decades.
The El Niño–Southern Oscillation (ENSO) is the most influential natural
SST variability that originates in the tropical Pacific and has worldwide
climate impacts (Philander, 1983; Wang et al., 2012). The Pacific
Decadal Oscillation (PDO), defined by ocean temperature anomalies in the
northeast and tropical Pacific Ocean, is another long-lived, El
Niño-like pattern that persists for several decades (Mantua and Hare,
2002). Over the Indian Ocean, SST anomalies feature a seesaw structure
between the western and eastern equatorial regions, known as the Indian
Ocean Dipole (IOD) mode (Saji et al., 1999). The North Atlantic Ocean
exhibits various modes of low-frequency SST variability (Kushnir, 1994;
Wu and Liu, 2005; Fan and Schneider, 2012; Taboada and Anadon, 2012). The
mechanisms responsible for SST variability include ocean circulation
variability, wind stress, and ocean–atmosphere feedbacks (Frankignoul,
1985; Deser et al., 2010). Aerosols and greenhouse gases (GHGs) emitted from
anthropogenic and natural sources also contribute to regional SST
variability through modulation of the solar radiation received by the ocean
surface (Rotstayn and Lohmann, 2002; Wu and Kinter, 2011; Hsieh et al.,
2013; Ding et al., 2014; Meehl et al., 2015).</p>
      <p>Considering the distinct roles of regional SST variability in modulating
regional climate systems, the impact of regional SST changes on the surface
O<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> distribution needs to be explored. Lin et al. (2015) found that
more frequent deep stratospheric intrusions appear over the western US
during strong La Niña springs because of the meandering of the polar jet
towards this region. This process can remarkably increase surface O<inline-formula><mml:math id="M40" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
levels in the western US. The La Niña-like decadal cooling of the
eastern equatorial Pacific Ocean in the 2000s weakened the long-range
transport of 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>-rich air from Eurasia towards Hawaii during spring
(Lin et al., 2014). Liu et al. (2005) revealed that El Niño
winters are associated with stronger transpacific pollutant transport, which
also has implications for the long-range transport 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>. Except for
the ENSO impacts, very few studies to date have directly addressed the
linkage between SST and O<inline-formula><mml:math id="M43" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>. Therefore, a comprehensive understanding of
the response of surface 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> to SST changes in individual ocean basins is
lacking and necessary.</p>
      <p>To fill this gap, this study focuses on examining the sensitivity of 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>
evolution over four polluted continental regions in the Northern Hemisphere
(i.e., North America (NA, 15–55<inline-formula><mml:math id="M46" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 60–125<inline-formula><mml:math id="M47" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W), Europe (EU,
25–65<inline-formula><mml:math id="M48" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N,
10<inline-formula><mml:math id="M49" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W–50<inline-formula><mml:math id="M50" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E), East Asia (EA, 15–50<inline-formula><mml:math id="M51" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 95–160<inline-formula><mml:math id="M52" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) and South Asia (SA,
5–35<inline-formula><mml:math id="M53" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N,
50–95<inline-formula><mml:math id="M54" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E), defined
in Fiore et al., 2009) with respect to nearby basin-scale SST
changes. We describe the design of numerical experiments and model
configuration in Sect. 2. Surface 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> responses to regional SST
changes are given in Sect. 3. Relevant mechanisms governing the
SST–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> relationships are discussed in Sect. 4. The impact of
basin-scale SST changes on intercontinental transport of 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> is
described in Sect. 5. Conclusions are drawn in Sect. 6.</p>
</sec>
<sec id="Ch1.S2">
  <title>Methodology</title>
<sec id="Ch1.S2.SS1">
  <title>Model description and configuration</title>
      <p>The Community Earth System Model (CESM, v1.2.2) developed by the National
Center for Atmospheric Research (NCAR) is used in this study, configured
with the Community Atmosphere Model version 5.0 (CAM5) and the Community
Land Model version 4.0 (CLM4). The ocean and sea ice components are
prescribed with climatological SST and sea ice distributions. Moist
turbulence is parameterized following the Bretherton and Park (2009) scheme. Shallow convection is parameterized using the Park and
Bretherton (2009) scheme. The parameterization of deep convection is based on Zhang and McFarlane (1995) with modifications
following Richter and Rasch (2008), Raymond and Blyth (1986), and Raymond and Blyth (1992). The
cloud microphysical parameterization is following a two-moment scheme
described in Morrison and Gettelman (2008) and Gettelman et al. (2008). The microphysical effect of aerosols on clouds are simulated
following Ghan et al. (2012). The parameterization of cloud macrophysics
follows Conley et al. (2012).</p>
      <p>The chemistry coupled in the CAM5 (i.e., CAM5-chem) is primarily based on
the Model for O<inline-formula><mml:math id="M58" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> and Related chemical Tracers, version 4 (MOZART-4),
which resolves 85 gas-phase species and 196 gas-phase reactions (Emmons
et al., 2010; Lamarque et al., 2012). A three-mode (i.e., Aitkin,
accumulation, and course) aerosol scheme for black carbon (BC), primary
organic matter (POM), second organic aerosol (SOA), sea salt, dust, and
sulfate was used in our simulations following Liu et al. (2012).
The lightning parameterization is modified according to Price et al. (1997) and tropospheric photolysis rates are calculated interactively
following Tie et al. (2005). Gaseous dry deposition is calculated using
the resistance-based parameterization of Wesely (1989), Walmsley
and Wesely (1996), and Wesely and Hicks (2000). The parameterizations of
in-cloud scavenging and below-cloud washout for soluble species are
described in detail by Giorgi and Chameides (1985) and Brasseur et al. (1998), respectively. Anthropogenic emissions of chemical species are
from the IPCC AR5 emission datasets (Lamarque et al., 2010), whose
injection heights and particle size distributions follow the AEROCOM
protocols (Dentener et al., 2006). The emissions of natural aerosols and
precursor gases are prescribed from the MOZART-2 (Horowitz et al.,
2003) and MOZART-4 (Emmons et al., 2010) datasets. All emission
datasets are available from the CESM data inventory
(<uri>https://svn-ccsm-inputdata.cgd.ucar.edu/trunk/inputdata/</uri>). The performance
of CESM in simulating tropospheric O<inline-formula><mml:math id="M59" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> has been validated by comparing
with ozonesondes and satellite observations (Tilmes et al., 2015).
The deviations between model and observations are within the range of about
25 %. In general, the model can capture the surface ozone distribution and
variability well but may overestimate 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> over the eastern US and
western Europe in the summer (Tilmes et al., 2015).</p>
</sec>
<sec id="Ch1.S2.SS2">
  <title>Numerical experiments</title>
      <p>We first conduct a control simulation, hereafter referred to as CTRL, with
prescribed climatological monthly SSTs averaged from 1981 to 2010 (see
Hurrell et al., 2008). We then conduct six perturbation simulations
with monthly SSTs that are uniformly increased or decreased by 1 <inline-formula><mml:math id="M61" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C in three ocean basins in the Northern Hemisphere: the North Pacific
(15–65<inline-formula><mml:math id="M62" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 100<inline-formula><mml:math id="M63" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E–90<inline-formula><mml:math id="M64" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W), North
Atlantic (15–65<inline-formula><mml:math id="M65" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 100<inline-formula><mml:math id="M66" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W–20<inline-formula><mml:math id="M67" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E),
and North Indian oceans (5–30<inline-formula><mml:math id="M68" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 30–100<inline-formula><mml:math id="M69" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E; here 5<inline-formula><mml:math id="M70" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N is used to attain a relatively
larger domain size). The simulations are denoted as Pacific-W,
Atlantic-W, and Indian-W for the three warming cases and
Pacific-C, Atlantic-C, and Indian-C for the three cooling cases.
We defined the latitudinal and longitudinal ranges of these ocean basins
mainly based on their geographical features. The boundaries of the
prescribed SST anomalies generally align with the edge of the ocean basins,
except along the southern side. In each perturbation simulation, we linearly
smooth the southern boundaries of these SST anomalies towards the equator to
remove the sharp SST anomaly gradients at the edge, following a previous
approach (e.g., Taschetto et al., 2016; Seager and Henderson, 2016). We
further conduct two sensitivity tests with 1 <inline-formula><mml:math id="M71" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C SST warming and 1 <inline-formula><mml:math id="M72" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C SST cooling superimposed onto all three ocean basins (i.e.,
the North Pacific, North Atlantic, and North Indian Ocean) in the Northern
Hemisphere, denoted as All-W and All-C, respectively. Air pollution
emissions, including biogenic emissions of VOCs, are fixed to distinguish
the impacts of SST variation on 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> transport and photochemistry. All
simulations are run for 21 years with the first year used for model spin-up.</p>
      <p>To explore the impacts of SST changes on intercontinental transport, an
explicit emission tagging technique is used in our simulations following
previous studies (Shindell et al., 2008; Doherty et al., 2013).
Artificial CO-like tracers emitted from four continental regions, i.e.,
North America (NA, 15–55<inline-formula><mml:math id="M74" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 60–125<inline-formula><mml:math id="M75" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W), Europe (EU,
25–65<inline-formula><mml:math id="M76" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N,
10<inline-formula><mml:math id="M77" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W–50<inline-formula><mml:math id="M78" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E), East Asia (EA, 15–50<inline-formula><mml:math id="M79" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 95–160<inline-formula><mml:math id="M80" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E), and South Asia
(SA, 5–35<inline-formula><mml:math id="M81" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 50–95<inline-formula><mml:math id="M82" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E), are
tracked individually. These tracers are idealized with a first-order decay
lifetime of 50 days, which is similar to O<inline-formula><mml:math id="M83" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> (Doherty et al., 2013)
and used to single out changes in O<inline-formula><mml:math id="M84" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> transport induced by SST
anomalies.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><caption><p>Seasonally (i.e., DJF: December, January, and February; MAM:
March, April, and May; JJA: June, July, and August; and SON: September, October,
and November) and regionally averaged (only land grid boxes are included)
changes in surface O<inline-formula><mml:math id="M85" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations (ppbv) for basin-scale SST
perturbation cases relative to the control simulation. Positive changes that are significant at the 0.05 level evaluated using the
Student's <inline-formula><mml:math id="M86" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test are marked in bold.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="7">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">

         <oasis:entry namest="col1" nameend="col3" align="center">Ozone (ppbv) </oasis:entry>

         <oasis:entry colname="col4">DJF</oasis:entry>

         <oasis:entry colname="col5">MAM</oasis:entry>

         <oasis:entry colname="col6">JJA</oasis:entry>

         <oasis:entry colname="col7">SON</oasis:entry>

       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
       <?xmltex \rotentry?>
         <oasis:entry rowsep="1" colname="col1" morerows="7">North Pacific</oasis:entry>

         <oasis:entry colname="col2"><inline-formula><mml:math id="M89" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M90" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C</oasis:entry>

         <oasis:entry colname="col3">North America</oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M91" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.27<inline-formula><mml:math id="M92" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M93" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.42<inline-formula><mml:math id="M94" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M95" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.92<inline-formula><mml:math id="M96" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7"><inline-formula><mml:math id="M97" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1.03<inline-formula><mml:math id="M98" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">Europe</oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M99" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.50<inline-formula><mml:math id="M100" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M101" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.26</oasis:entry>

         <oasis:entry colname="col6">0.10</oasis:entry>

         <oasis:entry colname="col7"><inline-formula><mml:math id="M102" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.29</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">East Asia</oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M103" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.88<inline-formula><mml:math id="M104" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M105" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.71<inline-formula><mml:math id="M106" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col6">0.20</oasis:entry>

         <oasis:entry colname="col7">0.17</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">South Asia</oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M107" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1.00<inline-formula><mml:math id="M108" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col5">0.30</oasis:entry>

         <oasis:entry colname="col6">0.43</oasis:entry>

         <oasis:entry colname="col7"><bold>0.43</bold><inline-formula><mml:math id="M109" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2"><inline-formula><mml:math id="M110" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1 <inline-formula><mml:math id="M111" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C</oasis:entry>

         <oasis:entry colname="col3">North America</oasis:entry>

         <oasis:entry colname="col4">0.00</oasis:entry>

         <oasis:entry colname="col5"><bold>0.57</bold><inline-formula><mml:math id="M112" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col6"><bold>0.55</bold><inline-formula><mml:math id="M113" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7"><bold>0.82</bold><inline-formula><mml:math id="M114" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">Europe</oasis:entry>

         <oasis:entry colname="col4">0.19</oasis:entry>

         <oasis:entry colname="col5">0.15</oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M115" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.47<inline-formula><mml:math id="M116" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7">0.47<inline-formula><mml:math id="M117" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">East Asia</oasis:entry>

         <oasis:entry colname="col4">0.30</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M118" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.17</oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M119" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.22</oasis:entry>

         <oasis:entry colname="col7"><inline-formula><mml:math id="M120" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.67<inline-formula><mml:math id="M121" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">South Asia</oasis:entry>

         <oasis:entry colname="col4">0.04</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M122" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.24</oasis:entry>

         <oasis:entry colname="col6">0.03</oasis:entry>

         <oasis:entry colname="col7"><inline-formula><mml:math id="M123" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.40</oasis:entry>

       </oasis:row>
       <oasis:row>
       <?xmltex \rotentry?>
         <oasis:entry rowsep="1" colname="col1" morerows="7">North Atlantic</oasis:entry>

         <oasis:entry colname="col2"><inline-formula><mml:math id="M124" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M125" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C</oasis:entry>

         <oasis:entry colname="col3">North America</oasis:entry>

         <oasis:entry colname="col4">0.03</oasis:entry>

         <oasis:entry colname="col5">0.49</oasis:entry>

         <oasis:entry colname="col6"><bold>0.50</bold><inline-formula><mml:math id="M126" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7"><bold>0.53</bold><inline-formula><mml:math id="M127" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">Europe</oasis:entry>

         <oasis:entry colname="col4"><bold>0.30</bold><inline-formula><mml:math id="M128" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col5">0.06</oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M129" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1.61<inline-formula><mml:math id="M130" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7"><inline-formula><mml:math id="M131" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.89<inline-formula><mml:math id="M132" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">East Asia</oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M133" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.52<inline-formula><mml:math id="M134" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M135" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.68<inline-formula><mml:math id="M136" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M137" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.62<inline-formula><mml:math id="M138" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7"><inline-formula><mml:math id="M139" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.25</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">South Asia</oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M140" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.20</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M141" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1.46<inline-formula><mml:math id="M142" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M143" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1.28<inline-formula><mml:math id="M144" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7"><inline-formula><mml:math id="M145" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.82<inline-formula><mml:math id="M146" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2"><inline-formula><mml:math id="M147" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1 <inline-formula><mml:math id="M148" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C</oasis:entry>

         <oasis:entry colname="col3">North America</oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M149" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.07</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M150" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.10</oasis:entry>

         <oasis:entry colname="col6">0.10</oasis:entry>

         <oasis:entry colname="col7"><inline-formula><mml:math id="M151" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.17</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">Europe</oasis:entry>

         <oasis:entry colname="col4">0.00</oasis:entry>

         <oasis:entry colname="col5">0.00</oasis:entry>

         <oasis:entry colname="col6">0.07</oasis:entry>

         <oasis:entry colname="col7">0.06</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">East Asia</oasis:entry>

         <oasis:entry colname="col4">0.16</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M152" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.08</oasis:entry>

         <oasis:entry colname="col6"><bold>0.80</bold><inline-formula><mml:math id="M153" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7"><inline-formula><mml:math id="M154" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.60<inline-formula><mml:math id="M155" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">South Asia</oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M156" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.20</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M157" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.40</oasis:entry>

         <oasis:entry colname="col6">0.30</oasis:entry>

         <oasis:entry colname="col7"><inline-formula><mml:math id="M158" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.10</oasis:entry>

       </oasis:row>
       <oasis:row>
       <?xmltex \rotentry?>
         <oasis:entry colname="col1" morerows="7">North India</oasis:entry>

         <oasis:entry colname="col2"><inline-formula><mml:math id="M159" display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M160" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C</oasis:entry>

         <oasis:entry colname="col3">North America</oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M161" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.25</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M162" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.04</oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M163" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.16</oasis:entry>

         <oasis:entry colname="col7"><inline-formula><mml:math id="M164" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.10</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">Europe</oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M165" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.30</oasis:entry>

         <oasis:entry colname="col5">0.08</oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M166" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.12</oasis:entry>

         <oasis:entry colname="col7">0.19</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">East Asia</oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M167" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.53<inline-formula><mml:math id="M168" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M169" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.77<inline-formula><mml:math id="M170" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M171" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.28</oasis:entry>

         <oasis:entry colname="col7"><inline-formula><mml:math id="M172" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1.78<inline-formula><mml:math id="M173" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">South Asia</oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M174" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1.00<inline-formula><mml:math id="M175" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col5">0.14</oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M176" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1.67<inline-formula><mml:math id="M177" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7"><inline-formula><mml:math id="M178" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2.75<inline-formula><mml:math id="M179" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2"><inline-formula><mml:math id="M180" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1 <inline-formula><mml:math id="M181" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C</oasis:entry>

         <oasis:entry colname="col3">North America</oasis:entry>

         <oasis:entry colname="col4">0.04</oasis:entry>

         <oasis:entry colname="col5">0.17</oasis:entry>

         <oasis:entry colname="col6">0.04</oasis:entry>

         <oasis:entry colname="col7">0.25</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">Europe</oasis:entry>

         <oasis:entry colname="col4">0.05</oasis:entry>

         <oasis:entry colname="col5"><inline-formula><mml:math id="M182" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.07</oasis:entry>

         <oasis:entry colname="col6"><inline-formula><mml:math id="M183" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.13</oasis:entry>

         <oasis:entry colname="col7"><inline-formula><mml:math id="M184" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.24</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">East Asia</oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M185" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.06</oasis:entry>

         <oasis:entry colname="col5">0.15</oasis:entry>

         <oasis:entry colname="col6"><bold>0.55</bold><inline-formula><mml:math id="M186" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7">0.33</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">South Asia</oasis:entry>

         <oasis:entry colname="col4"><inline-formula><mml:math id="M187" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.03</oasis:entry>

         <oasis:entry colname="col5">0.57</oasis:entry>

         <oasis:entry colname="col6"><bold>1.70</bold><inline-formula><mml:math id="M188" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

         <oasis:entry colname="col7"><bold>1.31</bold><inline-formula><mml:math id="M189" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>

       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p><inline-formula><mml:math id="M87" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula> Significant at the 0.05 level using the Student's <inline-formula><mml:math id="M88" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test and 20 years of model
results.</p></table-wrap-foot></table-wrap>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><caption><p>Changes in the summertime (June–August) surface 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>
concentrations (ppbv) in the Northern Hemisphere induced by
1 <inline-formula><mml:math id="M191" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C warming <bold>(a, b, c)</bold> and 1 <inline-formula><mml:math id="M192" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C cooling <bold>(d, e, f)</bold> in
the North Pacific Ocean <bold>(a, d)</bold>, North Atlantic Ocean <bold>(b, e)</bold>, and North
Indian Ocean <bold>(c, f)</bold> relative to the CTRL. The four major regions of
interest (i.e., NA: 15–55<inline-formula><mml:math id="M193" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 60–125<inline-formula><mml:math id="M194" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W; EU: 25–65<inline-formula><mml:math id="M195" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N,
10<inline-formula><mml:math id="M196" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W–50<inline-formula><mml:math id="M197" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E;
EA: 15–50<inline-formula><mml:math id="M198" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 95–160<inline-formula><mml:math id="M199" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E; and SA: 5–35<inline-formula><mml:math id="M200" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 50–95<inline-formula><mml:math id="M201" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) are marked with red polygons. The <inline-formula><mml:math id="M202" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> symbols denote
areas in which results are significant at the 0.05 level, evaluated using the
Student's <inline-formula><mml:math id="M203" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test and 20 years of data.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/8771/2017/acp-17-8771-2017-f01.jpg"/>

        </fig>

</sec>
<sec id="Ch1.S2.SS3">
  <title>Integrated process rate (IPR) analysis</title>
      <p>To provide a process-level explanation for the response of surface 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>
to regional SST changes, the integrated process rate (IPR) method is applied. This method calculates
the accumulated contributions of individual processes (e.g., chemical
production and loss, advection, vertical diffusion, dry deposition) to
O<inline-formula><mml:math id="M205" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> predictions during the model simulation and has been widely used for
air pollution diagnostics (Li et al., 2012; Zhang and Wu, 2013; Tao et
al., 2015). In this study, we added the IPR scheme to the CESM framework to
track the contribution of six physicochemical processes (i.e., gas-phase
chemistry, CHEM; advection, ADVE; vertical diffusion, VDIF; dry
deposition, DRYD; shallow convection, SHAL; and deep convection, DEEP) to
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> concentrations in every grid box. Wet deposition and aqueous-phase
chemistry are ignored here due to the low solubility and negligible chemical
production of O<inline-formula><mml:math id="M207" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> in water (Jacob, 1999). Therefore, CHEM represents
the net production (production minus loss) rate 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> due to gas-phase
photochemistry. DRYD represents the dry deposition fluxes of 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>, which
are an important sink for O<inline-formula><mml:math id="M210" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>. The other IPR terms (i.e., ADVE, VDIF,
SHAL, and DEEP) represent contributions from different transport processes.
The IPR scheme tracks and archives the 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> flux in each grid from every
process during each model time step. The sum of the O<inline-formula><mml:math id="M212" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> fluxes from
these six processes matches the change in the 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> concentration. The IPR
method has been widely used in air quality studies to examine the cause of
pollution episodes (Wang et al., 2010; Li et al., 2012). When applied in
climate sensitivity analysis (usually measuring the difference between two
equilibriums), the net change in all IPRs approaches zero. Typically, the
positive changes in IPRs are mainly responsible for the increase in surface
O<inline-formula><mml:math id="M214" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, which may further induce O<inline-formula><mml:math id="M215" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> removal to balance this forcing in
a new equilibrium. Therefore, here, the IPR analysis is used not to budget
the SST-induced O<inline-formula><mml:math id="M216" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentration changes but rather to help examine the
relative importance of different transport and chemical processes in driving
the sensitivity of O<inline-formula><mml:math id="M217" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> to SST forcing. Its performance is verified by
comparing the predicted hourly 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> changes with the sum of the
individual fluxes from the six processes. As shown in Fig. S1 in the Supplement, the hourly
surface O<inline-formula><mml:math id="M219" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> changes are well represented by the sum of these fluxes in
the model.</p><?xmltex \hack{\newpage}?>
</sec>
</sec>
<sec id="Ch1.S3">
  <?xmltex \opttitle{Response of surface O${}_{{3}}$ concentrations to SST changes}?><title>Response of surface O<inline-formula><mml:math id="M220" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations to SST changes</title>
      <p>Seasonally and regionally averaged surface O<inline-formula><mml:math id="M221" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> changes in each SST
perturbation simulation for the four highly populated continental regions
and three ocean basins defined in our study are given in Tables 1 and S1 in the Supplement,
respectively. The responses of the surface O<inline-formula><mml:math id="M222" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations to
basin-scale SST changes (i.e., <inline-formula><mml:math id="M223" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>1 <inline-formula><mml:math id="M224" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) are mainly below 3 ppbv in the Northern Hemisphere (Tables 1 and S1), though larger anomalies
(i.e., up to 5 ppbv) are also observed over the eastern coast of China, the
Indian subcontinent, and certain oceanic areas (Figs. 1 and S2). This
SST–O<inline-formula><mml:math id="M225" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> sensitivity is comparable to previous findings. For instance,
Bloomer et al. (2009) reported a positive 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>–temperature
relationship of 2.2–3.2 ppbv <inline-formula><mml:math id="M227" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C<inline-formula><mml:math id="M228" 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> across the rural
eastern US. Wu et al. (2008) found that summertime surface
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> may increase by 2–5 ppbv over the northeastern US in the
2050s. Additionally, Fiore et al. (2009) demonstrated an
intercontinental decrease in surface 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> of no more than 1 ppbv in
response to 20 % reductions in anthropogenic emissions within a
continental region. Our study indicates that basin-scale SST changes alone
may exert significant effects on the surface 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> above a specific ocean
basin and its surrounding continents.</p>
      <p>As shown in Fig. 1, seasonal changes of up to 5 ppbv in the mean surface
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> concentration are observed during boreal summers, mainly in coastal
regions and remote oceans. Surface 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> changes in response to positive
and negative SST anomalies generally exhibit a consistent spatial pattern
but are opposite in sign, suggesting robust relationships between surface
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> levels and SST anomalies (Fig. 1). An increase in summertime SST
over a specific ocean basin tends to increase the surface 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>
concentration over the upwind regions but reduce this concentration over
downwind continents. For instance, a 1 <inline-formula><mml:math id="M236" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C warming over the North
Pacific leads to a widespread decrease of approximately 1 ppbv in surface 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> over the North
Pacific, North America, and the North Atlantic (Table S1) but may enhance the surface O<inline-formula><mml:math id="M238" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> by nearly 3 ppbv over southern China.
Similarly, the SST warming over the North Atlantic decreases the surface
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> levels by 1–2 ppbv over the North Atlantic and Europe
but increases (<inline-formula><mml:math id="M240" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1 ppbv) those over North America and the North
Pacific. For the North Indian Ocean, positive SST anomalies tend to increase
the surface 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> over the Indian Ocean and Africa but decrease the
surface O<inline-formula><mml:math id="M242" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> over South and East Asia (Fig. 1). During the boreal
winter, a widespread decrease in surface 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> associated with the warming
of different oceans is observed. Significant changes (e.g., up to 5 ppbv)
mainly occur over remote ocean areas. Over populated continents, the
response of the 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> to basin-scale SST changes is typically
insignificant. Details are shown in Fig. S2.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><caption><p>Seasonally averaged changes in the IPR contributions
(bars, ppbv h<inline-formula><mml:math id="M245" 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>, left scale) and surface 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> concentrations (hollow
circles, ppbv, right scale) for Pacific-W <bold>(a, d, g, j)</bold>, Atlantic-W <bold>(b, e, h, k)</bold>, and
Indian-W <bold>(c, f, i, l)</bold> relative to the CTRL. Values are regionally averaged over
NA <bold>(a, b, c)</bold>, EU <bold>(d, e, f)</bold>, EA <bold>(g, h, i)</bold>, and SA <bold>(j, k, l)</bold>. TURB is
defined as the sum of VDIF and DRYD. CONV is the sum of DEEP and SHAL. IPR
contributions from the four processes (i.e., TURB, ADVE, CHEM, and CONV) are
represented by different colors. A more detailed IPR result is shown in
Fig. S6.</p></caption>
        <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/8771/2017/acp-17-8771-2017-f02.png"/>

      </fig>

      <p>Our simulations reveal that different oceans can exert distinct
region-specific effects on the 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> distribution. The effects of three
individual warming–cooling cases (i.e., Pacific-W, Atlantic-W, and
Indian-W and Pacific-C, Atlantic-C, and Indian-C) on surface O<inline-formula><mml:math id="M248" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
distributions are further summed up to compare with the combined
warming–cooling cases (i.e., ALL-W and ALL-C). The responses of surface O<inline-formula><mml:math id="M249" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
to a hemispheric SST anomaly generally resemble the sum of responses to
individual regional SST changes (see Figs. S3 and S4). This indicates that the effect of a generalized SST warming on
surface O<inline-formula><mml:math id="M250" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> can be decomposed into individual regional SST forcings. We
now analyze the processes that impact the dependence of SST on the O<inline-formula><mml:math id="M251" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
distribution using simulations that increase the SST.</p>
</sec>
<sec id="Ch1.S4">
  <?xmltex \opttitle{Mechanism of SST-induced surface O${}_{{3}}$ changes}?><title>Mechanism of SST-induced surface O<inline-formula><mml:math id="M252" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> changes</title>
<sec id="Ch1.S4.SS1">
  <title>Process-level response to SST changes</title>
      <p>In this study, IPR analysis is used to evaluate the contribution of
different physicochemical processes to 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> evolution. The SST-induced,
process-level 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> changes are spatially averaged over four populated
continental regions (i.e., NA, EU, EA, and SA; Fig. 2) and three ocean
basins (i.e., the North Pacific, North Atlantic, and North Indian oceans;
Fig. S5). In most cases, VDIF and DRYD are the key processes controlling
the 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> variation. The downward transport of 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> through diffusion
(VDIF) is an important source of surface O<inline-formula><mml:math id="M257" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, while DRYD acts as a sink.
Both processes are simultaneously determined by the strength of turbulence.
Here, we define a new term TURB as the sum of DRYD and VDIF, and it can
capture the overall effect of turbulence changes on surface 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>
concentrations. In addition, we merge SHAL and DEEP as CONV to represent the
total contribution of convective transport to surface 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> (Figs. 2 and S5). More detailed IPR results are shown in Figs. S6 and S7.</p>
      <p>In the Pacific-W case, a 1 <inline-formula><mml:math id="M260" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C SST warming over the North
Pacific increases VDIF over eastern China in JJA (Fig. S8), which is
insignificant if averaged over the whole East Asian region. Meanwhile, this
Pacific warming considerably reduces VDIF over North America (Fig. S6).
The corresponding decrease in TURB over North America mainly determines the
surface O<inline-formula><mml:math id="M261" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> reduction in JJA and SON, while the reduction in CONV exerts
an additional negative impact (Fig. 2). In the Atlantic-W case,
increases in VDIF are also observed over the upwind regions (i.e., North
America) in JJA. However, these increases are accompanied by commensurate
decreases in DRYD, resulting in an insignificant overall change in TURB
(Fig. 2). Therefore, the increase in CHEM is mainly responsible for the
surface 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> increase over North America in JJA. TURB is more relatively
important over Europe (only in JJA and SON), leading to reduced surface
O<inline-formula><mml:math id="M263" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> abundance. In the Indian-W case, both CHEM and CONV are reduced
over South Asia in JJA, leading to overall reductions in surface O<inline-formula><mml:math id="M264" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
over the Indian subcontinent (Fig. 2). The IPR analysis over the ocean
basins shows that the warming of the North Pacific or North Atlantic induces
reductions in VDIF and CHEM, which are responsible for the significant
decrease in 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> above these regions in JJA (Fig. S7). Conversely,
North Indian Ocean warming enhances DEEP and VDIF,
leading to a local increase in surface 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> in JJA.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><caption><p>Perturbations of the surface net 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> production rate
(1 <inline-formula><mml:math id="M268" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M269" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">6</mml:mn></mml:msup></mml:math></inline-formula> molecules cm<inline-formula><mml:math id="M270" 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> s<inline-formula><mml:math id="M271" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> for <bold>(a)</bold> Pacific-W, <bold>(b)</bold> Atlantic-W,
and <bold>(c)</bold> Indian-W relative to the CTRL in the boreal summer. The <inline-formula><mml:math id="M272" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> symbols
denote areas in which the results are significant at the 0.05 level, evaluated
using the Student's <inline-formula><mml:math id="M273" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test and 20 years of data.</p></caption>
          <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/8771/2017/acp-17-8771-2017-f03.png"/>

        </fig>

      <p>The IPR analysis indicates that, in general, an SST increase in the North
Pacific or North Atlantic is more likely to enhance the vertical diffusion
of O<inline-formula><mml:math id="M274" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> over upwind regions (i.e., East Asia or North America,
respectively) but suppress this diffusion over the ocean basin as well as
downwind continents in JJA (Fig. S8). These opposite changes in VDIF over
upwind and downwind regions lead to distinct surface O<inline-formula><mml:math id="M275" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> responses.
Changes in CHEM enhance surface 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> formation in most cases. An
exception is in South Asia, where CHEM and DEEP dominate the reduction in
surface O<inline-formula><mml:math id="M277" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> over the region in JJA associated with the North Indian
Ocean warming. In the following subsections, the mechanisms of the
SST–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> relationship for the four polluted continents are further
explored. Here we focus on boreal summers since the surface 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> response
to SST changes is more robust during this period than other seasons.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><caption><p>Changes in the surface air temperature (<inline-formula><mml:math id="M280" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) for <bold>(a)</bold> Pacific-W, <bold>(b)</bold> Atlantic-W, and <bold>(c)</bold> Indian-W relative to CTRL in
the Northern Hemisphere in the boreal summer. The <inline-formula><mml:math id="M281" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> symbols denote areas
in which the results are significant at the 0.05 level, evaluated using the Student's
<inline-formula><mml:math id="M282" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test and 20 years of data.</p></caption>
          <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/8771/2017/acp-17-8771-2017-f04.png"/>

        </fig>

</sec>
<sec id="Ch1.S4.SS2">
  <?xmltex \opttitle{Response of photochemical O${}_{{3}}$ production
to SST increases}?><title>Response of photochemical 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> production
to SST increases</title>
      <p>Changes in the net production rate (i.e., chemical production rate minus
loss rate) of O<inline-formula><mml:math id="M284" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> at the surface in JJA associated with basin-scale SST
increases are shown in Fig. 3. The peak changes are mainly confined to
regions where O<inline-formula><mml:math id="M285" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> precursors are abundant (e.g., South and East Asia and
North America). For example, a warmer North Pacific SST exerts a positive
(negative) impact on net O<inline-formula><mml:math id="M286" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> production in the northern (southern)
regions of East Asia. Similarly, the warming of the North Atlantic promotes
a dipole impact on 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> production over North America, while
the warming of the North Indian Ocean significantly decreases the net
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> production rate over South Asia.</p>
      <p>As emissions are fixed in all simulations, the change in net 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>
production is driven by SST-induced meteorological changes (e.g., air
temperature, air humidity, and solar radiation). An increase in SST of 1 <inline-formula><mml:math id="M290" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C in any ocean basin leads to a widespread enhancement of the
surface air temperature (i.e., the air temperature at 2 m) over most
continental areas (Fig. 4). An exception is the North Indian Ocean, where
an increase in SST tends to cool the Indian subcontinent by 1–2 <inline-formula><mml:math id="M291" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C. This temperature decrease is not only limited to the surface but also
spreads to 600 hPa (Fig. S9). Associated with this temperature decrease is
a remarkable reduction in the solar radiation received at the surface (more
than 15 W m<inline-formula><mml:math id="M292" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, Fig. S10). Previous studies have indicated that moist
convection is more sensitive to the SST changes in the tropical oceans than
in mid- or high-latitude oceans (Lau and Nath, 1994; Lau et al., 1997;
Hartmann, 2015). The SST increase over the North Indian Ocean tends to
strengthen the moist convection that eventually facilitates cloud formation
in the upper troposphere (Roxy et al., 2015; Xi et al., 2015; Chaudhari
et al., 2016). The latent heat released from convective activities
significantly warms the air temperature over the upper troposphere
(Sabeerali et al., 2012; Xi et al., 2015). Meanwhile, the corresponding
increase in cloud cover reduces the solar radiation reaching the surface of
the Indian subcontinent and thus the air temperature of the lower troposphere in
that region. These processes lead to opposite air temperature changes
between the upper and lower troposphere over South Asia in response to the North
Indian warming (as shown in Fig. S9), which may further suppress the
development of deep convection over the Indian subcontinent.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><caption><p>Changes in the surface pressure (color contours, Pa) and
850 hPa wind (arrows, m s<inline-formula><mml:math id="M293" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> for <bold>(a)</bold> Pacific-W, <bold>(b)</bold> Atlantic-W, and
<bold>(c)</bold> Indian-W relative to the CTRL in the boreal summer.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/8771/2017/acp-17-8771-2017-f05.png"/>

        </fig>

      <p>Previous studies have indicated that air temperature positively affects both
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> production and destruction rates (Zeng et al., 2008; Pusede et
al., 2015). As shown in Fig. S11, changes in the net 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> production
rate are mainly dominated by 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> production over continents but by
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> destruction over oceans. An increase in SST leads to a widespread
enhancement of the air temperature, resulting in a positive change in the
net 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> production over most continental regions (Fig. 3). However, a
warmer SST also increases the air humidity (Fig. S12), which enhances
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> destruction over most coastal and oceanic areas. In addition, over
South Asia, a warming of the North Indian Ocean decreases solar radiation
and air temperature and simultaneously increases air humidity, which
jointly exert negative effects on O<inline-formula><mml:math id="M300" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> production in that region.</p>
</sec>
<sec id="Ch1.S4.SS3">
  <?xmltex \opttitle{Response of physical O${}_{{3}}$ transport to SST
increases}?><title>Response of physical 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> transport to SST
increases</title>
      <p>In Sect. 4.1, our IPR analysis highlights multiple physical processes
(i.e., vertical diffusion, convection, and advection) that are important in
modulating surface 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. However, the role and relative
importance of each process exhibit large spatial heterogeneity. In this
section, we explore the key factors controlling physical 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
in response to basin-scale SST changes.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><caption><p>Spatial pattern of vertical velocity changes at 500 hPa
(color contours, 1 <inline-formula><mml:math id="M304" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M305" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> Pa s<inline-formula><mml:math id="M306" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> for <bold>(a)</bold> Pacific-W, <bold>(b)</bold> Atlantic-W,
and <bold>(c)</bold> Indian-W relative to the CTRL in the boreal summer. Positive values
indicate upward motion. Red polygons denote the regions where the surface
pressure responses to SST anomalies are significant (see Fig. 5a–c). The
<inline-formula><mml:math id="M307" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> symbols indicate areas in which the results are significant at the 0.05
level, evaluated using the Student's <inline-formula><mml:math id="M308" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test and 20 years of data.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/8771/2017/acp-17-8771-2017-f06.png"/>

        </fig>

      <p>The changes in the surface pressure and wind pattern induced by a basin-wide
SST increase are shown in Fig. 5. Generally, a warming of any ocean basin
will lead to a low-pressure anomaly centered to its west at low latitudes,
which is caused by SST-induced convective activity. Additionally, the
warming of the Indian Ocean induces an anticyclonic anomaly over the
subtropical western Pacific, which has been documented in previous studies
(Yang et al., 2007; Li et al., 2008). As shown in Fig. 6, the surface
pressure reduction induced by SST warming in any ocean basin is closely
associated with enhanced upward motions, suggesting a substantial
enhancement in deep convection over tropical oceans. Previous studies have
identified an SST threshold (approximately 26–28 <inline-formula><mml:math id="M309" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C)
to generating deep convection (Graham and Barnett, 1987; Johnson and Xie,
2010). Therefore, the sensitivity of deep convection to an SST anomaly is
strongly dependent on the distribution of base SST. The enhanced upward
motion in response to a uniform increase in basin-scale SST mainly occurs
over regions with high climatological SST (Fig. 6). Regions with a low
climatological SST have little effect on the vertical movement of air
masses.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><caption><p>Top three rows: changes in 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> concentrations (color
contours, ppbv) and horizontal fluxes (arrows, mol cm<inline-formula><mml:math id="M311" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math id="M312" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> at
the surface level for <bold>(a)</bold> Pacific-W, <bold>(b)</bold> Atlantic-W, and <bold>(c)</bold> Indian-W relative
to the CTRL in the boreal summer. Bottom row: zonal average of the
tropospheric 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> changes (color contours, ppbv), wind fluxes in CTRL
(red arrows, m s<inline-formula><mml:math id="M314" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, and the wind flux perturbation (black arrows, m s<inline-formula><mml:math id="M315" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> in <bold>(d)</bold> Pacific-W, <bold>(e)</bold> Atlantic-W,
and <bold>(f)</bold> Indian-W relative to the
CTRL in the boreal summer. The red rectangles in <bold>(a)</bold>, <bold>(b)</bold>, and <bold>(c)</bold> denote the
longitudinal range used for the zonal averages in <bold>(d)</bold>, <bold>(e)</bold>, and <bold>(f)</bold>,
respectively. The vertical wind velocity is amplified 1000 times to make it
comparable to the horizontal wind velocity.</p></caption>
          <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/8771/2017/acp-17-8771-2017-f07.png"/>

        </fig>

      <p>Strengthened deep convection will trigger large-scale subsidence over nearby
regions through the modulation of large-scale circulation patterns, which
may suppress convective transport (Lau et al., 1997; Roxy et al., 2015;
Ueda et al., 2015). This effect is verified by the decreases in upward
velocity at 500 hPa. As depicted in Fig. 6, significant decreases in
upward velocity occur over regions adjacent to the strengthened deep
convection. Similar effects are also observed over higher latitudes or
remote oceans (Fig. S13). Meanwhile, the air temperature increase in
response to regional SST warming is more significant above the lower
troposphere, which leads to a decrease in the vertical temperature gradient
(Fig. S9). These factors tend to restrain the vertical exchange of air
pollutants at midlatitudes, which facilitates surface O<inline-formula><mml:math id="M316" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> accumulation
over polluted continental regions in JJA but may weaken the intrusion of
O<inline-formula><mml:math id="M317" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> from the upper troposphere to the surface in most unpolluted areas.
This process helps to explain the widespread decrease in surface 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> over unpolluted regions associated with an SST increase, as described in
Sect. 3, and can be further verified by the widespread reduction in VDIF
shown in Fig. S8.</p>
      <p>The surface pressure anomalies induced by SST changes can play a dominant
role in modulating 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> transport at specific locations. For
example, the low-pressure anomaly centered over the subtropical northwestern
Pacific in the Pacific-W case causes the convergence of wind in the
lower troposphere (Fig. 5a). Consequently, surface 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> pollution is
enhanced in southern China due to an increase in 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> transport from more
polluted northern China (Fig. 7a). The vertical distribution of the
corresponding 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> changes also shows that the increase in 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> over
southern China occurs below 700 hPa, accompanied by noticeable decreases
above 700 hPa as well as over nearby northern China (Fig. 7d). The IPR
analysis also indicates that the increases in advective transport and
downward turbulent transport are mainly responsible for the surface 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>
increase in southern China.</p>
      <p>In the Atlantic-W case, the SST warming-induced surface pressure
anomalies lead to substantial 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> redistribution, especially over the
North Atlantic Ocean (Fig. 7b). For North America, the changes in
horizontal 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> fluxes have no significant effect on the O<inline-formula><mml:math id="M327" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
concentration increase. In addition, O<inline-formula><mml:math id="M328" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> changes are observed to be
larger in the upper troposphere than at the surface (Fig. 7e). As
demonstrated in Sect. 4.1, the response of lower-altitude O<inline-formula><mml:math id="M329" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> over
North America to the North Atlantic warming is mainly caused by enhanced
chemical production rather than physical transport.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><caption><p>Panels <bold>(a, c, e)</bold>: difference in the surface concentration
(ppbv) of a CO-like tracer emitted from <bold>(a)</bold> East Asia for Pacific-W,
<bold>(c)</bold> North America for Atlantic-W, and <bold>(e)</bold> the South Asia for Indian-W relative to
the CTRL in the boreal summer. Panels <bold>(b, d, f)</bold>: the percentage changes in
the surface concentration of a CO-like tracer emitted from <bold>(b)</bold> East Asia for
Pacific-W, <bold>(d)</bold> North America for Atlantic-W, and <bold>(f)</bold> South Asia for Indian-W
relative to the CTRL in the boreal summer. Red polygons denote the region
where the CO-like tracer is emitted from. The <inline-formula><mml:math id="M330" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> symbol denotes areas in
which
the results are significant at the 0.05 level, evaluated using the Student's <inline-formula><mml:math id="M331" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test
and 20 years of data.</p></caption>
          <?xmltex \igopts{width=469.470472pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/8771/2017/acp-17-8771-2017-f08.png"/>

        </fig>

      <p>The North Indian SST warming leads to a low-pressure anomaly centered over
the Arabian Sea (Fig. 5c). The warming of the North Indian Ocean
strengthens the upward motion of air at low latitudes and further induces a
convergence of highly polluted air over the Indian Ocean. The effects of
this process on O<inline-formula><mml:math id="M332" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> concentrations are observed to be more significant
in the upper troposphere (Fig. 7f). According to the IPR analysis, the
surface O<inline-formula><mml:math id="M333" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> increase over the Indian Ocean is mainly caused by the
enhanced vertical transport of 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> to the surface through deep
convection and vertical diffusion processes (Fig. S7). However, over the
nearby Indian subcontinent, the suppressed convection tends to decrease
surface 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> in that region (Fig. 2).</p>
</sec>
</sec>
<sec id="Ch1.S5">
  <?xmltex \opttitle{Implications for O${}_{{3}}$ long-range transport}?><title>Implications for O<inline-formula><mml:math id="M336" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> long-range transport</title>
      <p>The findings above indicate that, in general, a basin-scale SST increase in
the Northern Hemisphere is more likely to enhance atmospheric stability at
midlatitudes, which may suppress air pollutants from lofting to the free
troposphere. This process potentially has large effects on O<inline-formula><mml:math id="M337" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
intercontinental transport. Following previous work (e.g., Doherty et
al., 2013; Fang et al., 2011), we use passive CO-like tracers to
demonstrate the potential effect of regional SST changes on long-range
O<inline-formula><mml:math id="M338" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> transport. A warming of North Pacific SSTs by 1 <inline-formula><mml:math id="M339" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C tends
to increase the East Asian CO tracer concentrations by nearly 6 % at the
surface (Fig. 8b), which is accompanied by a significant reduction
(<inline-formula><mml:math id="M340" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 4 %) in eastward transport to North America. Similarly,
for the North American tracer, a warming of North Atlantic SSTs by
1 <inline-formula><mml:math id="M341" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C increases (<inline-formula><mml:math id="M342" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1 %) the concentrations in North
America but decreases (3–4  %) the concentrations over downwind Europe
(Fig. 8d). The response of the South Asian CO tracer to North Indian Ocean
warming also shows a decreasing tendency over downwind regions, but the
patterns are more complicated over the source region in this case (Fig. 8e). Because the CO-like tracers added in the simulation have a fixed decay
lifetime, their concentration changes are completely caused by the
SST-induced transport anomalies. The decrease in CO tracer concentrations
over downwind regions suggests that the warming of basin-scale SST tends to
suppress the long-range transport of air pollutants. Additionally, in the
Pacific-W case, changes in the East Asian CO tracer (Fig. 8a)
generally resemble the changes in surface O<inline-formula><mml:math id="M343" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> over East Asia (Fig. 7a), indicating the dominant effect of physical transport on the O<inline-formula><mml:math id="M344" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
distribution over East Asia. Regarding the North American CO tracer in
response to the North Atlantic warming or the South Asian CO tracer in
response to the North Indian Ocean warming, their concentration changes are
spatially inconsistent with those of O<inline-formula><mml:math id="M345" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> (see Figs. 7 and 8). This
further indicates the distinct roles that different basin-scale SSTs play in
nearby air quality.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><caption><p>Zonally averaged changes in zonal wind (color contour,
m s<inline-formula><mml:math id="M346" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) and geopotential height (contour, m) for <bold>(a)</bold> Pacific-W,
<bold>(b)</bold> Atlantic-W,
and <bold>(c)</bold> Indian-W relative to the CTRL in the boreal summer. Solid and
dashed black lines in the contours indicate positive and negative geopotential
height anomalies, respectively (contour interval: 5 m). The <inline-formula><mml:math id="M347" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> symbol
denotes areas in which the zonal wind changes are significant at the 0.05
level, evaluated using the Student's <inline-formula><mml:math id="M348" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test and 20 years of data.</p></caption>
        <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/8771/2017/acp-17-8771-2017-f09.png"/>

      </fig>

      <p>Further investigations of zonal wind suggest that an increase in SST over
different oceans consistently decreases the westerly winds at lower
midlatitudes (25–45<inline-formula><mml:math id="M349" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) in the Northern
Hemisphere but increases these winds at higher latitudes (Fig. 9). In
general, increases in the geopotential height induced by basin-scale SST
warming are more significant at midlatitudes than at other latitudes, which
is consistent with the air temperature changes. Consequently, the meridional
geopotential height gradient decreases at lower latitudes but increases
at higher latitudes, leading to corresponding changes in the westerly winds.
The latitude band at 25–45<inline-formula><mml:math id="M350" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N covers many polluted
regions (i.e., North America and East Asia). A weakened westerly wind may
reduce long-range 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> transport. As demonstrated in Sect. 4.3, the
basin-scale SST increases also exert negative effects on the upward
transport of air masses at midlatitudes. Therefore, the decreases in CO
tracer concentrations over downwind regions (Fig. 8a and c) can be
explained by both suppressed vertical transport and weakened westerly winds.
In the Indian-W case, the SST increase over North India leads to a
low-pressure anomaly above the Arabian Sea due to the enhanced deep
convection (as discussed in Sect. 4.3). The corresponding anomalous
cyclonic circulation may be responsible for the dipole of the South Asian CO
tracer changes over the source region depicted in Fig. 8e.</p>
      <p>In addition, we also find a hemispheric-scale decrease in peroxyacetyl
nitrate (PAN), a reservoir 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> precursors (NO<inline-formula><mml:math id="M353" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> and HO<inline-formula><mml:math id="M354" 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>
that facilitate the long-range transport of 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>, during the warming of
different oceans (Fig. S14). This decrease is likely caused by the
increase in the thermal decomposition of PAN in response to the air
temperature increase (Jacob and Winner, 2009; Doherty et al., 2013).</p>
      <p>Thus, it is reasonable to infer that, in general, the increased thermal
decomposition of PAN, the weakened midlatitude westerlies, and the reduced
vertical air transport may exert a joint reduction effect on the
intercontinental transport of 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> during basin-scale SST increases.</p>
</sec>
<sec id="Ch1.S6" sec-type="conclusions">
  <title>Summary</title>
      <p>In this paper, we investigate the responses of surface 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> to
basin-scale SST anomalies in the Northern Hemisphere. The latest version of
CESM (version 1.2.2) is used in our simulation, forced with climatological
and stationary SST anomalies (<inline-formula><mml:math id="M358" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>1 <inline-formula><mml:math id="M359" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) in the North Pacific,
North Atlantic, and North Indian oceans, respectively. The responses of
surface 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> associated with these SST changes are evaluated. Results of
similar magnitude but opposite sign are observed for the SST warming versus
cooling simulations for each ocean basin, suggesting robust connections
between the SST anomalies and surface 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> changes. The regionally and
seasonally averaged surface 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> changes over four continental regions
(i.e., NA, EU, EA, and SA) produce wide seasonal and regional variability
(varying from 1 to 3 ppbv). The warming of the North Pacific leads to nearly
3 ppbv increases in the 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> over southern China in summer, with
corresponding decreases over North America (<inline-formula><mml:math id="M364" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1 ppbv).
Similarly, the North Atlantic SST warming elevates the surface 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>
pollution over North America while reducing the surface 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> (nearly 1–2 ppbv) over Europe. Changes in the North Indian SST exert significant impacts
(1–3 ppbv) over South and East Asia during the entire year.</p>
      <p>Process analysis indicates that dry deposition and vertical diffusion are
two major processes governing the surface 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> balance. The increase in
SST in different ocean basins tends to increase the contributions of
vertical diffusion to surface 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> over upwind regions while greatly
restraining those over downwind continents. These processes generally lead to
widespread decreases in 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>, which are partially offset by
increases in air-temperature-dependent chemical production rates.
Specifically, the chemical production changes are mainly responsible for the
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> increases over North America in response to the North
Atlantic SST warming but exert a negative effect on South Asia in response
to the North Indian SST warming. Decreases in the convective transport of
O<inline-formula><mml:math id="M371" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> to the surface associated with North Indian warming are significant
over South Asia and exert a negative impact on surface O<inline-formula><mml:math id="M372" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>
concentrations. Advective transport has a positive effect on 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>
in southern China in the Pacific-W case.</p>
      <p>We further show that air temperature is an important factor controlling the
surface O<inline-formula><mml:math id="M374" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> responses to SST anomalies. Reductions in the 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> chemical production in South Asia associated with North Indian SST
warming can be explained by the corresponding SST-induced decreases in
ground-level air temperature and solar radiation. Meanwhile, the widespread
increase in air temperature associated with basin-scale SST warming is more
likely to promote O<inline-formula><mml:math id="M376" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> production over other highly polluted regions.</p>
      <p>Conversely, SST increases at low latitudes over different oceans
enhance deep convection in summer, which promotes convergence at the
surface, as well as upward motions at low latitudes. The corresponding
surface pressure anomalies centered over the east coast of East Asia
associated with the North Pacific warming and over the Arabian Sea
associated with the North Indian warming tend to increase the 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> above through exchanges with the surrounding highly polluted air.
The basin-scale SST increases in the Northern Hemisphere reduce the
tropospheric temperature gradient at midlatitudes that restrains vertical
transport of 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> over continents and weakens the westerlies at lower
midlatitudes. The response of the CO tracer also suggests that these
factors may jointly exert a negative effect on the intercontinental
transport of 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>.</p>
      <p>This study highlights the sensitivity of 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> evolution to basin-wide SST
changes in the Northern Hemisphere and identifies the key chemical or
dynamical factors that control this evolution. Idealized and spatially
uniform SST anomalies are used to explore the general mechanisms governing
SST–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> relationships. We find that the SST changes over tropical
regions exert considerable impacts on surface 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> levels. The increase
in tropical SST over different ocean basins enhances deep convection, which
further triggers large-scale subsidence over nearby and remote regions. These
enhanced convective activities also tend to release more latent heat over
the upper troposphere and significantly increase the air temperature there.
These processes influence large-scale circulation patterns and lead to
opposite surface 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> responses over upwind and downwind regions related
to a specific ocean basin. This finding provides valuable implications for
the potential surface 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> change in response to future warming or
cooling of individual oceans.</p>
      <p>Additionally, the sensitivity tests with 1 <inline-formula><mml:math id="M385" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C SST warming
and cooling superimposed onto all three ocean basins further show in general
that the SST forcing on 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> distribution is geographically additive. A
number of studies have used the decomposed SST anomalies for different
regions to identify their relevant roles in a particular climate response
(e.g., Sutton and Hodson, 2005; Camargo et al., 2013; Ueda et al., 2015).
A linear assumption that the influence of large-scale SST anomaly pattern on
the atmosphere can be generally constructed by the linear combination of the
influences of individual SST patches has been verified by previous studies,
especially for the tropical regions where the signal-to-noise ratio is higher
(e.g., Fan et al., 2016; Seager and Henderson, 2016). Therefore, our
study also helps to understand the roles different ocean basins in the
Northern Hemisphere play in modulating surface O<inline-formula><mml:math id="M387" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> distributions in a
global-wide SST warming condition associated with climate change.</p>
      <p>Overall, this study may guide the management of regional 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> pollution
by considering the influence of specific SST variability. However, cautions
should be taken in interpreting our results in the real world since observed
surface O<inline-formula><mml:math id="M389" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> variabilities are induced by various factors including
O<inline-formula><mml:math id="M390" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> precursor emissions and atmospheric conditions. Realistic SST
anomalies over different oceans are more complicated (usually not uniformly
distributed) and often intercorrelated with each other (Fan et al., 2016).
They may exert joint effects on modulating surface O<inline-formula><mml:math id="M391" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> distributions.
To provide more precise understanding about the SST–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> relationship
over a specific region, additional sensitivity tests regarding smaller
patches of SST variability are necessary.</p>
</sec>

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

      <p>The CESM release code is downloadable through the Subversion repository path:
<uri>https://svn-ccsm-models.cgd.ucar.edu/cesm1/</uri>. All input datasets are available from the CESM data inventory
(<uri>https://svn-ccsm-inputdata.cgd.ucar.edu/trunk/inputdata/</uri>). The simulation results are available from the corresponding
author, Junfeng Liu (jfliu@pku.edu.cn), upon request.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p><bold>The Supplement related to this article is available online at <inline-supplementary-material xlink:href="https://doi.org/10.5194/acp-17-8771-2017-supplement" xlink:title="pdf">https://doi.org/10.5194/acp-17-8771-2017-supplement</inline-supplementary-material>.</bold></p></supplementary-material>
        </app-group><notes notes-type="competinginterests">

      <p>The authors declare that they have no conflict of interest.</p>
  </notes><notes notes-type="sistatement">

      <p>Global and regional assessment of intercontinental transport of
air pollution: results from HTAP, AQMEII, and MICS SI statement: this article
is part of the special issue “Global and regional assessment of
intercontinental transport of air pollution: results from HTAP, AQMEII and
MICS”. It is not associated with a conference.</p>
  </notes><ack><title>Acknowledgements</title><p>This work was supported by funding from the National Natural Science
Foundation of China under awards 41671491, 41571130010, and 41390240; the
National Key Research and Development Program of China 2016YFC0206202; and
the 111 Project (B14001). This work was also supported in part by the
National Science Foundation under grant CBET-1512429.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: Frank Dentener<?xmltex \hack{\newline}?>
Reviewed by: Francesco S. R. Pausata and two anonymous referees</p></ack><ref-list>
    <title>References</title>

      <ref id="bib1.bib1"><label>1</label><mixed-citation>Auvray, M. and Bey, I.: Long-range transport to Europe: Seasonal
variations and implications for the European ozone budget, J. Geophys. Res.-Atmos., 110, D11303, <ext-link xlink:href="https://doi.org/10.1029/2004JD005503" ext-link-type="DOI">10.1029/2004JD005503</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bib2"><label>2</label><mixed-citation>
Barnes, E. A. and Fiore, A. M.: Surface ozone variability and the jet
position: Implications for projecting future air quality, Geophys. Res. Lett.,
40, 2839–2844, 2013.</mixed-citation></ref>
      <ref id="bib1.bib3"><label>3</label><mixed-citation>Bloomer, B. J., Stehr, J. W., Piety, C. A., Salawitch, R. J., and Dickerson,
R. R.: Observed relationships of ozone air pollution with temperature and
emissions, Geophys. Res. Lett., 36, L09803, <ext-link xlink:href="https://doi.org/10.1029/2009GL037308" ext-link-type="DOI">10.1029/2009GL037308</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib4"><label>4</label><mixed-citation>
Brasseur, G., Hauglustaine, D., Walters, S., Rasch, P., Müller, J. F.,
Granier, C., and Tie, X.: MOZART, a global chemical transport model for
ozone and related chemical tracers: 1. Model description, J. Geophys. Res.-Atmos., 103, 28265–28289, 1998.</mixed-citation></ref>
      <ref id="bib1.bib5"><label>5</label><mixed-citation>
Bretherton, C. S. and Park, S.: A new moist turbulence parameterization in
the Community Atmosphere Model, J. Climate, 22, 3422–3448, 2009.</mixed-citation></ref>
      <ref id="bib1.bib6"><label>6</label><mixed-citation>
Bronnimann, S., Luterbacher, J., Schmutz, C., Wanner, H., and Staehelin, J.:
Variability of total ozone at Arosa, Switzerland, since 1931 related to
atmospheric circulation indices, Geophys. Res. Lett., 27, 2213–2216, 2000.</mixed-citation></ref>
      <ref id="bib1.bib7"><label>7</label><mixed-citation>
Brown, J. and Bowman, C.: Integrated Science Assessment for Ozone and
Related Photochemical Oxidants, EPA 600/R-10, 2013.</mixed-citation></ref>
      <ref id="bib1.bib8"><label>8</label><mixed-citation>Brown-Steiner, B. and Hess, P.: Asian influence on surface ozone in the
United States: A comparison of chemistry, seasonality, and transport
mechanisms, J. Geophys. Res.-Atmos., 116, D17309, <ext-link xlink:href="https://doi.org/10.1029/2011jd015846" ext-link-type="DOI">10.1029/2011jd015846</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib9"><label>9</label><mixed-citation>
Camalier, L., Cox, W., and Dolwick, P.: The effects of meteorology on ozone
in urban areas and their use in assessing ozone trends, Atmos. Environ., 41,
7127–7137, 2007.</mixed-citation></ref>
      <ref id="bib1.bib10"><label>10</label><mixed-citation>
Camargo, S. J., Ting, M., and Kushnir, Y.: Influence of local and remote SST
on North Atlantic tropical cyclone potential intensity, Clim. Dynam., 40,
1515–1529, 2013.</mixed-citation></ref>
      <ref id="bib1.bib11"><label>11</label><mixed-citation>
Chaudhari, H. S., Pokhrel, S., Kulkarni, A., Hazra, A., and Saha, S. K.:
Clouds–SST relationship and interannual variability modes of Indian summer
monsoon in the context of clouds and SSTs: observational and modelling
aspects, Int. J. Climatol., 36, 4723–4740, 2016.</mixed-citation></ref>
      <ref id="bib1.bib12"><label>12</label><mixed-citation>Christoudias, T., Pozzer, A., and Lelieveld, J.: Influence of the North Atlantic Oscillation on air pollution transport,
Atmos. Chem. Phys., 12, 869–877, <ext-link xlink:href="https://doi.org/10.5194/acp-12-869-2012" ext-link-type="DOI">10.5194/acp-12-869-2012</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib13"><label>13</label><mixed-citation>Chuwah, C., van Noije, T., van Vuuren, D. P., Stehfest, E., and Hazeleger,
W.: Global impacts of surface ozone changes on crop yields and land use,
Atmos. Environ., 106, 11–23, <ext-link xlink:href="https://doi.org/10.1016/j.atmosenv.2015.01.062" ext-link-type="DOI">10.1016/j.atmosenv.2015.01.062</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib14"><label>14</label><mixed-citation>
Conley, A. J., Garcia, R., Kinnison, D., Lamarque, J.-F., Marsh, D., Mills,
M., Smith, A. K., Tilmes, S., Vitt, F., and Morrison, H.: Description of the
NCAR community atmosphere model (CAM 5.0), NCAR technical note, 2012.</mixed-citation></ref>
      <ref id="bib1.bib15"><label>15</label><mixed-citation>Creilson, J. K., Fishman, J., and Wozniak, A. E.: Intercontinental transport of tropospheric ozone: a study of its seasonal
variability across the North Atlantic utilizing tropospheric ozone residuals and its relationship to the North Atlantic
Oscillation, Atmos. Chem. Phys., 3, 2053–2066, <ext-link xlink:href="https://doi.org/10.5194/acp-3-2053-2003" ext-link-type="DOI">10.5194/acp-3-2053-2003</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bib16"><label>16</label><mixed-citation>Dentener, F., Kinne, S., Bond, T., Boucher, O., Cofala, J., Generoso, S., Ginoux, P., Gong, S., Hoelzemann, J. J., Ito, A.,
Marelli, L., Penner, J. E., Putaud, J.-P., Textor, C., Schulz, M., van der Werf, G. R., and Wilson, J.: Emissions of primary
aerosol and precursor gases in the years 2000 and 1750 prescribed data-sets for AeroCom, Atmos. Chem. Phys., 6, 4321–4344, <ext-link xlink:href="https://doi.org/10.5194/acp-6-4321-2006" ext-link-type="DOI">10.5194/acp-6-4321-2006</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bib17"><label>17</label><mixed-citation>
Deser, C., Wahl, S., and Bates, J. J.: The influence of sea surface
temperature gradients on stratiform cloudiness along the equatorial front in
the Pacific Ocean, J. Climate, 6, 1172–1180, 1993.</mixed-citation></ref>
      <ref id="bib1.bib18"><label>18</label><mixed-citation>
Deser, C., Alexander, M. A., Xie, S.-P., and Phillips, A. S.: Sea surface
temperature variability: Patterns and mechanisms, Annu. Rev. Mar. Sci., 2, 115–143, 2010.</mixed-citation></ref>
      <ref id="bib1.bib19"><label>19</label><mixed-citation>
Ding, Y., Carton, J. A., Chepurin, G. A., Stenchikov, G., Robock, A.,
Sentman, L. T., and Krasting, J. P.: Ocean response to volcanic eruptions in
Coupled Model Intercomparison Project 5 simulations, J. Geophys. Res.-Oceans, 119, 5622–5637, 2014.</mixed-citation></ref>
      <ref id="bib1.bib20"><label>20</label><mixed-citation>Doherty, R. M., Wild, O., Shindell, D. T., Zeng, G., MacKenzie, I. A.,
Collins, W. J., Fiore, A. M., Stevenson, D. S., Dentener, F. J., Schultz, M.
G., Hess, P., Derwent, R. G., and Keating, T. J.: Impacts of climate change
on surface ozone and intercontinental ozone pollution: A multi-model study,
J. Geophys. Res.-Atmos., 118, 3744–3763, <ext-link xlink:href="https://doi.org/10.1002/jgrd.50266" ext-link-type="DOI">10.1002/jgrd.50266</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib21"><label>21</label><mixed-citation>Emmons, L. K., Walters, S., Hess, P. G., Lamarque, J.-F., Pfister, G. G., Fillmore, D., Granier, C., Guenther, A., Kinnison, D.,
Laepple, T., Orlando, J., Tie, X., Tyndall, G., Wiedinmyer, C., Baughcum, S. L., and Kloster, S.: Description and evaluation of the
Model for Ozone and Related chemical Tracers, version 4 (MOZART-4), Geosci. Model Dev., 3, 43–67, <ext-link xlink:href="https://doi.org/10.5194/gmd-3-43-2010" ext-link-type="DOI">10.5194/gmd-3-43-2010</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib22"><label>22</label><mixed-citation>Fallmann, J., Lewis, H., Castillo, J., Arnold, A., and Ramsdale, S.: Impact
of sea surface temperature on stratiform cloud formation over the North Sea,
Geophys. Res. Lett., 44, 4296–4303, <ext-link xlink:href="https://doi.org/10.1002/2017GL073105" ext-link-type="DOI">10.1002/2017GL073105</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bib23"><label>23</label><mixed-citation>
Fan, L., Shin, S.-I., Liu, Z., and Liu, Q.: Sensitivity of Asian Summer
Monsoon precipitation to tropical sea surface temperature anomalies, Clim. Dynam., 47, 2501–2514, 2016.</mixed-citation></ref>
      <ref id="bib1.bib24"><label>24</label><mixed-citation>
Fan, M. and Schneider, E. K.: Observed decadal North Atlantic tripole SST
variability, Part I: weather noise forcing and coupled response, J. Atmos. Sci., 69, 35–50, 2012.</mixed-citation></ref>
      <ref id="bib1.bib25"><label>25</label><mixed-citation>Fang, Y., Fiore, A. M., Horowitz, L. W., Gnanadesikan, A., Held, I., Chen,
G., Vecchi, G., and Levy, H.: The impacts of changing transport and
precipitation on pollutant distributions in a future climate, J. Geophys. Res.-Atmos., 116, D18303, <ext-link xlink:href="https://doi.org/10.1029/2011JD015642" ext-link-type="DOI">10.1029/2011JD015642</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib26"><label>26</label><mixed-citation>
Fehsenfeld, F., Daum, P., Leaitch, W., Trainer, M., Parrish, D., and
Hübler, G.: Transport and processing of O3 and O3 precursors over the
North Atlantic: An overview of the 1993 North Atlantic Regional Experiment
(NARE) summer intensive, J. Geophys. Res.-Atmos., 101,
28877–28891, 1996.</mixed-citation></ref>
      <ref id="bib1.bib27"><label>27</label><mixed-citation>Fiore, A., Dentener, F., Wild, O., Cuvelier, C., Schultz, M., Hess, P.,
Textor, C., Schulz, M., Doherty, R., and Horowitz, L.: Multimodel estimates
of intercontinental source-receptor relationships for ozone pollution,
J. Geophys. Res.-Atmos., 114, D04301, <ext-link xlink:href="https://doi.org/10.1029/2008JD010816" ext-link-type="DOI">10.1029/2008JD010816</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib28"><label>28</label><mixed-citation>
Frankignoul, C.: Sea surface temperature anomalies, planetary waves, and
air-sea feedback in the middle latitudes, Rev. Geophys., 23,
357–390, 1985.</mixed-citation></ref>
      <ref id="bib1.bib29"><label>29</label><mixed-citation>
Frankignoul, C. and Sennéchael, N.: Observed influence of North Pacific
SST anomalies on the atmospheric circulation, J. Climate, 20, 592–606, 2007.</mixed-citation></ref>
      <ref id="bib1.bib30"><label>30</label><mixed-citation>
Gettelman, A., Morrison, H., and Ghan, S. J.: A new two-moment bulk
stratiform cloud microphysics scheme in the Community Atmosphere Model,
version 3 (CAM3). Part II: Single-column and global results, J. Climate, 21,
3660–3679, 2008.</mixed-citation></ref>
      <ref id="bib1.bib31"><label>31</label><mixed-citation>
Ghan, S. J., Liu, X., Easter, R. C., Zaveri, R., Rasch, P. J., Yoon, J.-H.,
and Eaton, B.: Toward a minimal representation of aerosols in climate
models: Comparative decomposition of aerosol direct, semidirect, and
indirect radiative forcing, J. Climate, 25, 6461–6476, 2012.</mixed-citation></ref>
      <ref id="bib1.bib32"><label>32</label><mixed-citation>
Giorgi, F. and Chameides, W.: The rainout parameterization in a
photochemical model, J. Geophys. Res.-Atmos., 90,
7872–7880, 1985.</mixed-citation></ref>
      <ref id="bib1.bib33"><label>33</label><mixed-citation>
Glantz, M. H., Katz, R. W., and Nicholls, N.: Teleconnections linking
worldwide climate anomalies, Cambridge University Press Cambridge, 1991.</mixed-citation></ref>
      <ref id="bib1.bib34"><label>34</label><mixed-citation>Goswami, B., Madhusoodanan, M., Neema, C., and Sengupta, D.: A physical
mechanism for North Atlantic SST influence on the Indian summer monsoon,
Geophys. Res. Lett., 33, L02706, <ext-link xlink:href="https://doi.org/10.1029/2005GL024803" ext-link-type="DOI">10.1029/2005GL024803</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bib35"><label>35</label><mixed-citation>
Graham, N. and Barnett, T.: Sea surface temperature, surface wind
divergence, and convection over tropical oceans, Science, 238, 657–659,
1987.</mixed-citation></ref>
      <ref id="bib1.bib36"><label>36</label><mixed-citation>Grewe, V.: The origin of ozone, Atmos. Chem. Phys., 6, 1495–1511, <ext-link xlink:href="https://doi.org/10.5194/acp-6-1495-2006" ext-link-type="DOI">10.5194/acp-6-1495-2006</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bib37"><label>37</label><mixed-citation>Guenther, R.: Isoprene and monoterpene emission rate variability: model
evaluations and sensitivity analyses, J. Geophys. Res., 98, 12609–12617, <ext-link xlink:href="https://doi.org/10.1029/93JD00527" ext-link-type="DOI">10.1029/93JD00527</ext-link>, 1993.</mixed-citation></ref>
      <ref id="bib1.bib38"><label>38</label><mixed-citation>
Gulev, S. K., Latif, M., Keenlyside, N., Park, W., and Koltermann, K. P.:
North Atlantic Ocean control on surface heat flux on multidecadal
timescales, Nature, 499, 464–467, 2013.</mixed-citation></ref>
      <ref id="bib1.bib39"><label>39</label><mixed-citation>
Hartmann, D. L.: Pacific sea surface temperature and the winter of 2014,
Geophys. Res. Lett., 42, 1894–1902, 2015.</mixed-citation></ref>
      <ref id="bib1.bib40"><label>40</label><mixed-citation>Hess, P. and Mahowald, N.: Interannual variability in hindcasts of atmospheric chemistry: the role of meteorology,
Atmos. Chem. Phys., 9, 5261–5280, <ext-link xlink:href="https://doi.org/10.5194/acp-9-5261-2009" ext-link-type="DOI">10.5194/acp-9-5261-2009</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib41"><label>41</label><mixed-citation>Horowitz, L. W., Walters, S., Mauzerall, D. L., Emmons, L. K., Rasch, P. J.,
Granier, C., Tie, X., Lamarque, J. F., Schultz, M. G., and Tyndall, G. S.: A
global simulation of tropospheric ozone and related tracers: Description and
evaluation of MOZART, version 2, J. Geophys. Res.-Atmos., 108, 4784, <ext-link xlink:href="https://doi.org/10.1029/2002JD002853" ext-link-type="DOI">10.1029/2002JD002853</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bib42"><label>42</label><mixed-citation>Hsieh, W.-C., Collins, W. D., Liu, Y., Chiang, J. C. H., Shie, C.-L., Caldeira, K., and Cao, L.: Climate response
due to carbonaceous aerosols and aerosol-induced SST effects in NCAR community atmospheric model CAM3.5,
Atmos. Chem. Phys., 13, 7489–7510, <ext-link xlink:href="https://doi.org/10.5194/acp-13-7489-2013" ext-link-type="DOI">10.5194/acp-13-7489-2013</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib43"><label>43</label><mixed-citation>
Hurrell, J. W., Hack, J. J., Shea, D., Caron, J. M., and Rosinski, J.: A new
sea surface temperature and sea ice boundary dataset for the Community
Atmosphere Model, J. Climate, 21, 5145–5153, 2008.</mixed-citation></ref>
      <ref id="bib1.bib44"><label>44</label><mixed-citation>
IPCC: Climate Change 2013: the physical science basis, in: Contribution of
Working Group I to the Fifth Assessment Report of the Intergovernmental
Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner,
G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V.,
and Midgley, P. M., Cambridge University Press, Cambridge, United Kingdom
and New York, NY, USA, 1535 pp., 2013.</mixed-citation></ref>
      <ref id="bib1.bib45"><label>45</label><mixed-citation>
Jacob, D.: Introduction to atmospheric chemistry, Princeton University
Press, 1999.</mixed-citation></ref>
      <ref id="bib1.bib46"><label>46</label><mixed-citation>
Jacob, D. J. and Winner, D. A.: Effect of climate change on air quality,
Atmos. Environ., 43, 51–63, 2009.</mixed-citation></ref>
      <ref id="bib1.bib47"><label>47</label><mixed-citation>Jiang, Z., Miyazaki, K., Worden, J. R., Liu, J. J., Jones, D. B. A., and Henze, D. K.: Impacts of anthropogenic and natural sources
on free tropospheric ozone over the Middle East, Atmos. Chem. Phys., 16, 6537–6546, <ext-link xlink:href="https://doi.org/10.5194/acp-16-6537-2016" ext-link-type="DOI">10.5194/acp-16-6537-2016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib48"><label>48</label><mixed-citation>
Johnson, C., Collins, W., Stevenson, D., and Derwent, R.: Relative roles of
climate and emissions changes on future tropospheric oxidant concentrations,
J. Geophys. Res.-Atmos., 104, 18631–18645,
1999.</mixed-citation></ref>
      <ref id="bib1.bib49"><label>49</label><mixed-citation>
Johnson, N. C. and Xie, S.-P.: Changes in the sea surface temperature
threshold for tropical convection, Nat. Geosci., 3, 842–845, 2010.</mixed-citation></ref>
      <ref id="bib1.bib50"><label>50</label><mixed-citation>Knowland, K. E., Doherty, R. M., and Hodges, K. I.: The effects of springtime mid-latitude storms on trace gas composition
determined from the MACC reanalysis, Atmos. Chem. Phys., 15, 3605–3628, <ext-link xlink:href="https://doi.org/10.5194/acp-15-3605-2015" ext-link-type="DOI">10.5194/acp-15-3605-2015</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib51"><label>51</label><mixed-citation>
Kushnir, Y.: Interdecadal variations in North Atlantic sea surface
temperature and associated atmospheric conditions, J. Climate, 7, 141–157,
1994.</mixed-citation></ref>
      <ref id="bib1.bib52"><label>52</label><mixed-citation>
Kushnir, Y., Robinson, W., Bladé, I., Hall, N., Peng, S., and Sutton,
R.: Atmospheric GCM response to extratropical SST anomalies: Synthesis and
evaluation, J. Climate, 15, 2233–2256, 2002.</mixed-citation></ref>
      <ref id="bib1.bib53"><label>53</label><mixed-citation>Lamarque, J.-F. and Hess, P. G.: Arctic Oscillation modulation of the
Northern Hemisphere spring tropospheric ozone, Geophys. Res. Lett., 31, L06127, <ext-link xlink:href="https://doi.org/10.1029/2003GL019116" ext-link-type="DOI">10.1029/2003GL019116</ext-link>, 2004.</mixed-citation></ref>
      <ref id="bib1.bib54"><label>54</label><mixed-citation>Lamarque, J.-F., Bond, T. C., Eyring, V., Granier, C., Heil, A., Klimont, Z., Lee, D., Liousse, C., Mieville, A., Owen, B., Schultz, M. G.,
Shindell, D., Smith, S. J., Stehfest, E., Van Aardenne, J., Cooper, O. R., Kainuma, M., Mahowald, N., McConnell, J. R., Naik, V., Riahi, K.,
and van Vuuren, D. P.: Historical (1850–2000) gridded anthropogenic and biomass burning emissions of reactive gases and aerosols:
methodology and application, Atmos. Chem. Phys., 10, 7017–7039, <ext-link xlink:href="https://doi.org/10.5194/acp-10-7017-2010" ext-link-type="DOI">10.5194/acp-10-7017-2010</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib55"><label>55</label><mixed-citation>Lamarque, J.-F., Emmons, L. K., Hess, P. G., Kinnison, D. E., Tilmes, S., Vitt, F., Heald, C. L., Holland, E. A.,
Lauritzen, P. H., Neu, J., Orlando, J. J., Rasch, P. J., and Tyndall, G. K.: CAM-chem: description and evaluation of
interactive atmospheric chemistry in the Community Earth System Model, Geosci. Model Dev., 5, 369–411, <ext-link xlink:href="https://doi.org/10.5194/gmd-5-369-2012" ext-link-type="DOI">10.5194/gmd-5-369-2012</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib56"><label>56</label><mixed-citation>
Lau, K., Wu, H., and Bony, S.: The role of large-scale atmospheric
circulation in the relationship between tropical convection and sea surface
temperature, J. Climate, 10, 381–392, 1997.</mixed-citation></ref>
      <ref id="bib1.bib57"><label>57</label><mixed-citation>
Lau, N.-C.: Interactions between global SST anomalies and the midlatitude
atmospheric circulation, B. Am. Meteorol. Soc., 78, 21–33, 1997.</mixed-citation></ref>
      <ref id="bib1.bib58"><label>58</label><mixed-citation>
Lau, N.-C. and Nath, M. J.: A modeling study of the relative roles of
tropical and extratropical SST anomalies in the variability of the global
atmosphere-ocean system, J. Climate, 7, 1184–1207, 1994.</mixed-citation></ref>
      <ref id="bib1.bib59"><label>59</label><mixed-citation>Li, L., Chen, C. H., Huang, C., Huang, H. Y., Zhang, G. F., Wang, Y. J., Wang, H. L., Lou, S. R., Qiao, L. P., Zhou, M.,
Chen, M. H., Chen, Y. R., Streets, D. G., Fu, J. S., and Jang, C. J.: Process analysis of regional ozone formation over
the Yangtze River Delta, China using the Community Multi-scale Air Quality modeling system, Atmos. Chem. Phys., 12, 10971–10987,
<ext-link xlink:href="https://doi.org/10.5194/acp-12-10971-2012" ext-link-type="DOI">10.5194/acp-12-10971-2012</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib60"><label>60</label><mixed-citation>
Li, S., Lu, J., Huang, G., and Hu, K.: Tropical Indian Ocean basin warming
and East Asian summer monsoon: A multiple AGCM study, J. Climate, 21,
6080–6088, 2008.</mixed-citation></ref>
      <ref id="bib1.bib61"><label>61</label><mixed-citation>Lin, M., Fiore, A. M., Horowitz, L. W., Cooper, O. R., Naik, V., Holloway,
J., Johnson, B. J., Middlebrook, A. M., Oltmans, S. J., and Pollack, I. B.:
Transport of Asian ozone pollution into surface air over the western United
States in spring, J. Geophys. Res.-Atmos., 117, D00V07, <ext-link xlink:href="https://doi.org/10.1029/2011JD016961" ext-link-type="DOI">10.1029/2011JD016961</ext-link>, 2012a.</mixed-citation></ref>
      <ref id="bib1.bib62"><label>62</label><mixed-citation>Lin, M. Y., Fiore, A. M., Cooper, O. R., Horowitz, L. W., Langford, A. O.,
Levy, H., Johnson, B. J., Naik, V., Oltmans, S. J., and Senff, C. J.:
Springtime high surface ozone events over the western United States:
Quantifying the role of stratospheric intrusions, J. Geophys. Res.-Atmos., 117,
D00v22, <ext-link xlink:href="https://doi.org/10.1029/2012jd018151" ext-link-type="DOI">10.1029/2012jd018151</ext-link>, 2012b.</mixed-citation></ref>
      <ref id="bib1.bib63"><label>63</label><mixed-citation>
Lin, M., Horowitz, L. W., Oltmans, S. J., Fiore, A. M., and Fan, S.:
Tropospheric ozone trends at Mauna Loa Observatory tied to decadal climate
variability, Nat. Geosci., 7, 136–143, 2014.</mixed-citation></ref>
      <ref id="bib1.bib64"><label>64</label><mixed-citation>Lin, M., Fiore, A. M., Horowitz, L. W., Langford, A. O., Oltmans, S. J.,
Tarasick, D., and Rieder, H. E.: Climate variability modulates western US
ozone air quality in spring via deep stratospheric intrusions, Nat. Commun.,
6, 7105, <ext-link xlink:href="https://doi.org/10.1038/ncomms8105" ext-link-type="DOI">10.1038/ncomms8105</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib65"><label>65</label><mixed-citation>Liu, J., Mauzerall, D. L., and Horowitz, L. W.: Analysis of seasonal and
interannual variability in transpacific transport, J. Geophys. Res.-Atmos., 110, D04302, <ext-link xlink:href="https://doi.org/10.1029/2004JD005207" ext-link-type="DOI">10.1029/2004JD005207</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bib66"><label>66</label><mixed-citation>Liu, X., Easter, R. C., Ghan, S. J., Zaveri, R., Rasch, P., Shi, X., Lamarque, J.-F., Gettelman, A., Morrison, H., Vitt, F., Conley, A.,
Park, S., Neale, R., Hannay, C., Ekman, A. M. L., Hess, P., Mahowald, N., Collins, W., Iacono, M. J., Bretherton, C. S., Flanner, M. G.,
and Mitchell, D.: Toward a minimal representation of aerosols in climate models: description and evaluation in the Community Atmosphere
Model CAM5, Geosci. Model Dev., 5, 709–739, <ext-link xlink:href="https://doi.org/10.5194/gmd-5-709-2012" ext-link-type="DOI">10.5194/gmd-5-709-2012</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib67"><label>67</label><mixed-citation>
Mantua, N. J. and Hare, S. R.: The Pacific decadal oscillation, J. Oceanogr.,
58, 35–44, 2002.</mixed-citation></ref>
      <ref id="bib1.bib68"><label>68</label><mixed-citation>Meehl, G. A., Teng, H., Maher, N., and England, M. H.: Effects of the Mount
Pinatubo eruption on decadal climate prediction skill of Pacific sea surface
temperatures, Geophys. Res. Lett., 42, 10840–10846, <ext-link xlink:href="https://doi.org/10.1002/2015GL066608" ext-link-type="DOI">10.1002/2015GL066608</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib69"><label>69</label><mixed-citation>
Morrison, H. and Gettelman, A.: A new two-moment bulk stratiform cloud
microphysics scheme in the Community Atmosphere Model, version 3 (CAM3),
Part I: Description and numerical tests, J. Climate, 21, 3642–3659, 2008.</mixed-citation></ref>
      <ref id="bib1.bib70"><label>70</label><mixed-citation>Ordónez, C.,  Mathis, H., Furger, M., Henne, S., Hüglin, C., Staehelin, J., and Prévôt, A. S. H.: C
hanges of daily surface ozone maxima in Switzerland in all seasons from 1992 to 2002 and discussion of summer 2003,
Atmos. Chem. Phys., 5, 1187–1203, <ext-link xlink:href="https://doi.org/10.5194/acp-5-1187-2005" ext-link-type="DOI">10.5194/acp-5-1187-2005</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bib71"><label>71</label><mixed-citation>
Park, S. and Bretherton, C. S.: The University of Washington shallow
convection and moist turbulence schemes and their impact on climate
simulations with the Community Atmosphere Model, J. Climate, 22, 3449–3469,
2009.</mixed-citation></ref>
      <ref id="bib1.bib72"><label>72</label><mixed-citation>
Parrish, D. D., Holloway, J. S., Trainer, M., Murphy, P. C., Fehsenfeld, F.
C., and Forbes, G. L.: Export of North American ozone pollution to the north
Atlantic Ocean, Science, 259, 1436–1439, 1993.</mixed-citation></ref>
      <ref id="bib1.bib73"><label>73</label><mixed-citation>Pausata, F. S. R., Pozzoli, L., Vignati, E., and Dentener, F. J.: North Atlantic Oscillation and tropospheric ozone
variability in Europe: model analysis and measurements intercomparison, Atmos. Chem. Phys., 12, 6357–6376, <ext-link xlink:href="https://doi.org/10.5194/acp-12-6357-2012" ext-link-type="DOI">10.5194/acp-12-6357-2012</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib74"><label>74</label><mixed-citation>
Peñuelas, J. and Llusià, J.: The complexity of factors driving
volatile organic compound emissions by plants, Biol. Plantarum, 44,
481–487, 2001.</mixed-citation></ref>
      <ref id="bib1.bib75"><label>75</label><mixed-citation>
Philander, S. G. H.: El Niño southern oscillation phenomena, Nature,
302, 295–301, 1983.</mixed-citation></ref>
      <ref id="bib1.bib76"><label>76</label><mixed-citation>
Price, C., Penner, J., and Prather, M.: NOx from lightning: 1. Global
distribution based on lightning physics, J. Geophys. Res.-Atmos., 102, 5929–5941, 1997.</mixed-citation></ref>
      <ref id="bib1.bib77"><label>77</label><mixed-citation>Pusede, S. E., Steiner, A. L., and Cohen, R. C.: Temperature and Recent
Trends in the Chemistry of Continental Surface Ozone, Chem. Rev., 115,
3898–3918, <ext-link xlink:href="https://doi.org/10.1021/cr5006815" ext-link-type="DOI">10.1021/cr5006815</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib78"><label>78</label><mixed-citation>Rasmussen, D. J., Fiore, A. M., Naik, V., Horowitz, L. W., McGinnis, S. J.,
and Schultz, M. G.: Surface ozone-temperature relationships in the eastern
US: A monthly climatology for evaluating chemistry-climate models, Atmos. Environ., 47, 142–153, <ext-link xlink:href="https://doi.org/10.1016/j.atmosenv.2011.11.021" ext-link-type="DOI">10.1016/j.atmosenv.2011.11.021</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib79"><label>79</label><mixed-citation>
Raymond, D. and Blyth, A.: Extension of the stochastic mixing model to
cumulonimbus clouds, J. Atmos. Sci., 49, 1968–1983, 1992.</mixed-citation></ref>
      <ref id="bib1.bib80"><label>80</label><mixed-citation>
Raymond, D. J. and Blyth, A. M.: A stochastic mixing model for
nonprecipitating cumulus clouds, J. Atmos. Sci., 43, 2708–2718, 1986.</mixed-citation></ref>
      <ref id="bib1.bib81"><label>81</label><mixed-citation>
Richter, J. H. and Rasch, P. J.: Effects of convective momentum transport
on the atmospheric circulation in the Community Atmosphere Model, version 3,
J. Climate, 21, 1487–1499, 2008.</mixed-citation></ref>
      <ref id="bib1.bib82"><label>82</label><mixed-citation>
Rotstayn, L. D. and Lohmann, U.: Tropical rainfall trends and the indirect
aerosol effect, J. Climate, 15, 2103–2116, 2002.</mixed-citation></ref>
      <ref id="bib1.bib83"><label>83</label><mixed-citation>Roxy, M. K., Ritika, K.,
Terray, P., Murtugudde, R., Ashok, K., and Goswami, B.: Drying of Indian
subcontinent by rapid Indian Ocean warming and a weakening land-sea thermal
gradient, Nat. Commun., 6, 7423, <ext-link xlink:href="https://doi.org/10.1038/ncomms8423" ext-link-type="DOI">10.1038/ncomms8423</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib84"><label>84</label><mixed-citation>
Sabeerali, C., Rao, S. A., Ajayamohan, R., and Murtugudde, R.: On the
relationship between Indian summer monsoon withdrawal and Indo-Pacific SST
anomalies before and after 1976/1977 climate shift, Clim. Dynam., 39, 841–859,
2012.</mixed-citation></ref>
      <ref id="bib1.bib85"><label>85</label><mixed-citation>
Saji, N., Goswami, B., Vinayachandran, P., and Yamagata, T.: A dipole mode
in the tropical Indian Ocean, Nature, 401, 360–363, 1999.</mixed-citation></ref>
      <ref id="bib1.bib86"><label>86</label><mixed-citation>
Seager, R. and Henderson, N.: On the Role of Tropical Ocean Forcing of the
Persistent North American West Coast Ridge of Winter 2013/14 a, J. Climate,
29, 8027–8049, 2016.</mixed-citation></ref>
      <ref id="bib1.bib87"><label>87</label><mixed-citation>Shindell, D. T., Chin, M., Dentener, F., Doherty, R. M., Faluvegi, G., Fiore, A. M., Hess, P., Koch, D. M., MacKenzie, I. A.,
Sanderson, M. G., Schultz, M. G., Schulz, M., Stevenson, D. S., Teich, H., Textor, C., Wild, O., Bergmann, D. J., Bey, I.,
Bian, H., Cuvelier, C., Duncan, B. N., Folberth, G., Horowitz, L. W., Jonson, J., Kaminski, J. W., Marmer, E., Park, R.,
Pringle, K. J., Schroeder, S., Szopa, S., Takemura, T., Zeng, G., Keating, T. J., and Zuber, A.: A multi-model assessment
of pollution transport to the Arctic, Atmos. Chem. Phys., 8, 5353–5372, <ext-link xlink:href="https://doi.org/10.5194/acp-8-5353-2008" ext-link-type="DOI">10.5194/acp-8-5353-2008</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib88"><label>88</label><mixed-citation>
Sillman, S. and Samson, P. J.: Impact of temperature on oxidant
photochemistry in urban, polluted rural and remote environments, J. Geophys. Res.-Atmos., 100, 11497–11508, 1995.</mixed-citation></ref>
      <ref id="bib1.bib89"><label>89</label><mixed-citation>
Simmonds, P., Derwent, R., Manning, A., and Spain, G.: Significant growth in
surface ozone at Mace Head, Ireland, 1987–2003, Atmos. Environ., 38,
4769–4778, 2004.</mixed-citation></ref>
      <ref id="bib1.bib90"><label>90</label><mixed-citation>
Simon, H., Reff, A., Wells, B., Xing, J., and Frank, N.: Ozone trends across
the United States over a period of decreasing NOx and VOC emissions, Environ. Sci. Technol., 49, 186–195, 2014.</mixed-citation></ref>
      <ref id="bib1.bib91"><label>91</label><mixed-citation>
Small, R., Xie, S., O'Neill, L., Seo, H., Song, Q., Cornillon, P., Spall,
M., and Minobe, S.: Air–sea interaction over ocean fronts and eddies, Dynam. Atmos. Oceans., 45, 274–319, 2008.</mixed-citation></ref>
      <ref id="bib1.bib92"><label>92</label><mixed-citation>
Sutton, R. T. and Hodson, D. L.: Atlantic Ocean forcing of North American
and European summer climate, Science, 309, 115–118, 2005.</mixed-citation></ref>
      <ref id="bib1.bib93"><label>93</label><mixed-citation>
Sutton, R. T. and Hodson, D. L.: Climate response to basin-scale warming
and cooling of the North Atlantic Ocean, J. Climate, 20, 891–907, 2007.</mixed-citation></ref>
      <ref id="bib1.bib94"><label>94</label><mixed-citation>
Taboada, F. G. and Anadon, R.: Patterns of change in sea surface
temperature in the North Atlantic during the last three decades: beyond mean
trends, Climatic Change, 115, 419–431, 2012.</mixed-citation></ref>
      <ref id="bib1.bib95"><label>95</label><mixed-citation>Tao, W., Liu, J., Ban-Weiss, G. A., Hauglustaine, D. A., Zhang, L., Zhang, Q., Cheng, Y., Yu, Y., and Tao, S.: Effects
of urban land expansion on the regional meteorology and air quality of eastern China, Atmos. Chem. Phys., 15, 8597–8614, <ext-link xlink:href="https://doi.org/10.5194/acp-15-8597-2015" ext-link-type="DOI">10.5194/acp-15-8597-2015</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib96"><label>96</label><mixed-citation>
Taschetto, A., Rodrigues, R., Meehl, G., McGregor, S., and England, M.: How
sensitive are the Pacific–tropical North Atlantic teleconnections to the
position and intensity of El Niño-related warming?, Clim. Dynam., 46,
1841–1860, 2016.</mixed-citation></ref>
      <ref id="bib1.bib97"><label>97</label><mixed-citation>Tie, X., Madronich, S., Walters, S., Edwards, D. P., Ginoux, P., Mahowald,
N., Zhang, R., Lou, C., and Brasseur, G.: Assessment of the global impact of
aerosols on tropospheric oxidants, J. Geophys. Res.-Atmos., 110, D03204, <ext-link xlink:href="https://doi.org/10.1029/2004JD005359" ext-link-type="DOI">10.1029/2004JD005359</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bib98"><label>98</label><mixed-citation>Tilmes, S., Lamarque, J.-F., Emmons, L. K., Kinnison, D. E., Ma, P.-L., Liu, X., Ghan, S., Bardeen, C., Arnold, S.,
Deeter, M., Vitt, F., Ryerson, T., Elkins, J. W., Moore, F., Spackman, J. R., and Val Martin, M.: Description and
evaluation of tropospheric chemistry and aerosols in the Community Earth System Model (CESM1.2), Geosci. Model Dev., 8, 1395–1426, <ext-link xlink:href="https://doi.org/10.5194/gmd-8-1395-2015" ext-link-type="DOI">10.5194/gmd-8-1395-2015</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib99"><label>99</label><mixed-citation>Ueda, H., Kamae, Y., Hayasaki, M., Kitoh, A., Watanabe, S., Miki, Y., and
Kumai, A.: Combined effects of recent Pacific cooling and Indian Ocean
warming on the Asian monsoon, Nat. Commun., 6, 8854, <ext-link xlink:href="https://doi.org/10.1038/ncomms9854" ext-link-type="DOI">10.1038/ncomms9854</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib100"><label>100</label><mixed-citation>
Vingarzan, R.: A review of surface ozone background levels and trends, Atmos. Environ., 38, 3431–3442, 2004.</mixed-citation></ref>
      <ref id="bib1.bib101"><label>101</label><mixed-citation>
Walmsley, J. L. and Wesely, M. L.: Modification of coded parametrizations
of surface resistances to gaseous dry deposition, Atmos. Environ., 30,
1181–1188, 1996.</mixed-citation></ref>
      <ref id="bib1.bib102"><label>102</label><mixed-citation>
Wang, B., Wu, R., and Fu, X.: Pacific-East Asian teleconnection: how does
ENSO affect East Asian climate?, J. Climate, 13, 1517–1536, 2000.</mixed-citation></ref>
      <ref id="bib1.bib103"><label>103</label><mixed-citation>
Wang, C., Deser, C., Yu, J.-Y., DiNezio, P., and Clement, A.: El Nino and
southern oscillation (ENSO): a review, Coral Reefs of the Eastern Pacific,
8,
85–106, 2012.</mixed-citation></ref>
      <ref id="bib1.bib104"><label>104</label><mixed-citation>Wang, X., Zhang, Y., Hu, Y., Zhou, W., Lu, K., Zhong, L., Zeng, L., Shao, M., Hu, M., and Russell, A. G.: Process analysis and
sensitivity study of regional ozone formation over the Pearl River Delta, China, during the PRIDE-PRD2004 campaign using the
Community Multiscale Air Quality modeling system, Atmos. Chem. Phys., 10, 4423–4437, <ext-link xlink:href="https://doi.org/10.5194/acp-10-4423-2010" ext-link-type="DOI">10.5194/acp-10-4423-2010</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib105"><label>105</label><mixed-citation>
Webster, P. J.: Mechanisms determining the atmospheric response to sea
surface temperature anomalies, J. Atmos. Sci., 38, 554–571, 1981.</mixed-citation></ref>
      <ref id="bib1.bib106"><label>106</label><mixed-citation>
Wesely, M.: Parameterization of surface resistances to gaseous dry
deposition in regional-scale numerical models, Atmos. Environ., 23, 1293–1304, 1989.</mixed-citation></ref>
      <ref id="bib1.bib107"><label>107</label><mixed-citation>
Wesely, M. and Hicks, B.: A review of the current status of knowledge on
dry deposition, Atmos. Environ., 34, 2261–2282, 2000.</mixed-citation></ref>
      <ref id="bib1.bib108"><label>108</label><mixed-citation>
Wild, O. and Akimoto, H.: Intercontinental transport of ozone and its
precursors in a three-dimensional global CTM, J. Geophys. Res.-Atmos., 106, 27729–27744, 2001.</mixed-citation></ref>
      <ref id="bib1.bib109"><label>109</label><mixed-citation>
World Health Organization: Review of evidence on health aspects of air
pollution–REVIHAAP Project, World Health Organization, Copenhagen, Denmark,
2013.</mixed-citation></ref>
      <ref id="bib1.bib110"><label>110</label><mixed-citation>
Wu, L. and Liu, Z.: North Atlantic Decadal Variability: Air-Sea Coupling,
Oceanic Memory, and Potential Northern Hemisphere Resonance, J. Climate, 18,
331–349, 2005.</mixed-citation></ref>
      <ref id="bib1.bib111"><label>111</label><mixed-citation>Wu, R. G. and Kinter, J. L.: Shortwave radiation-SST relationship over the
mid-latitude North Pacific during boreal summer in climate models, Clim. Dynam., 36, 2251–2264, <ext-link xlink:href="https://doi.org/10.1007/s00382-010-0775-5" ext-link-type="DOI">10.1007/s00382-010-0775-5</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib112"><label>112</label><mixed-citation>Wu, S., Mickley, L. J., Leibensperger, E. M., Jacob, D. J., Rind, D., and
Streets, D. G.: Effects of 2000–2050 global change on ozone air quality in
the United States, J. Geophys. Res.-Atmos., 113, D06302, <ext-link xlink:href="https://doi.org/10.1029/2007JD008917" ext-link-type="DOI">10.1029/2007JD008917</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib113"><label>113</label><mixed-citation>
Xi, J., Zhou, L., Murtugudde, R., and Jiang, L.: Impacts of intraseasonal
sst anomalies on precipitation during Indian summer monsoon, J. Climate, 28,
4561–4575, 2015.</mixed-citation></ref>
      <ref id="bib1.bib114"><label>114</label><mixed-citation>Yang, J., Liu, Q., Xie, S. P., Liu, Z., and Wu, L.: Impact of the Indian
Ocean SST basin mode on the Asian summer monsoon, Geophys. Res. Lett., 34,
L02708, <ext-link xlink:href="https://doi.org/10.1029/2006GL028571" ext-link-type="DOI">10.1029/2006GL028571</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bib115"><label>115</label><mixed-citation>Zeng, G., Pyle, J. A., and Young, P. J.: Impact of climate change on tropospheric ozone and its global budgets,
Atmos. Chem. Phys., 8, 369–387, <ext-link xlink:href="https://doi.org/10.5194/acp-8-369-2008" ext-link-type="DOI">10.5194/acp-8-369-2008</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib116"><label>116</label><mixed-citation>
Zhang, G. J. and McFarlane, N. A.: Sensitivity of climate simulations to
the parameterization of cumulus convection in the Canadian Climate Centre
general circulation model, Atmos. Ocean., 33, 407–446, 1995.</mixed-citation></ref>
      <ref id="bib1.bib117"><label>117</label><mixed-citation>Zhang, L., Jacob, D. J., Yue, X., Downey, N. V., Wood, D. A., and Blewitt, D.: Sources contributing to background surface
ozone in the US Intermountain West, Atmos. Chem. Phys., 14, 5295–5309, <ext-link xlink:href="https://doi.org/10.5194/acp-14-5295-2014" ext-link-type="DOI">10.5194/acp-14-5295-2014</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib118"><label>118</label><mixed-citation>Zhang, Y. and Wu, S.-Y.: Understanding of the Fate of Atmospheric
Pollutants Using a Process Analysis Tool in a 3-D Regional Air Quality Model
at a Fine Grid Scale, Atmospheric and Climate Sciences, 3, 18–30,  <ext-link xlink:href="https://doi.org/10.4236/acs.2013.31004" ext-link-type="DOI">10.4236/acs.2013.31004</ext-link>, 2013.</mixed-citation></ref>

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

    </app></app-group></back>
    <!--<article-title-html>Response of the global surface ozone distribution to Northern Hemisphere sea surface temperature changes: implications for long-range transport</article-title-html>
<abstract-html><p class="p">The response of surface ozone (O<sub>3</sub>) concentrations to
basin-scale warming and cooling of Northern Hemisphere oceans is investigated
using the Community Earth System Model (CESM). Idealized, spatially uniform
sea surface temperature (SST) anomalies of ±1 °C are
individually superimposed onto the North Pacific, North Atlantic, and North
Indian oceans. Our simulations suggest large seasonal and regional
variability in surface O<sub>3</sub> in response to SST anomalies, especially in
the boreal summer. The responses of surface O<sub>3</sub> associated with
basin-scale SST warming and cooling have similar magnitude but are opposite
in sign. Increasing the SST by 1 °C in one of the oceans generally
decreases the surface O<sub>3</sub> concentrations from 1 to 5 ppbv. With fixed
emissions, SST increases in a specific ocean basin in the Northern Hemisphere
tend to increase the summertime surface O<sub>3</sub> concentrations over upwind
regions, accompanied by a widespread reduction over downwind continents. We
implement the integrated process rate (IPR) analysis in CESM and find that
meteorological O<sub>3</sub> transport in response to SST changes is the key
process causing surface O<sub>3</sub> perturbations in most cases. During the
boreal summer, basin-scale SST warming facilitates the vertical transport of
O<sub>3</sub> to the surface over upwind regions while significantly reducing the
vertical transport over downwind continents. This process, as confirmed by
tagged CO-like tracers, indicates a considerable suppression of
intercontinental O<sub>3</sub> transport due to increased tropospheric stability at
lower midlatitudes induced by SST changes. Conversely, the responses
of chemical O<sub>3</sub> production to regional SST warming can exert positive
effects on surface O<sub>3</sub> levels over highly polluted continents, except
South Asia, where intensified cloud loading in response to North Indian SST
warming depresses both the surface air temperature and solar radiation, and
thus photochemical O<sub>3</sub> production. Our findings indicate a robust linkage
between basin-scale SST variability and continental surface O<sub>3</sub>
pollution, which should be considered in regional air quality management.</p></abstract-html>
<ref-html id="bib1.bib1"><label>1</label><mixed-citation>
Auvray, M. and Bey, I.: Long-range transport to Europe: Seasonal
variations and implications for the European ozone budget, J. Geophys. Res.-Atmos., 110, D11303, <a href="https://doi.org/10.1029/2004JD005503" target="_blank">https://doi.org/10.1029/2004JD005503</a>, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>2</label><mixed-citation>
Barnes, E. A. and Fiore, A. M.: Surface ozone variability and the jet
position: Implications for projecting future air quality, Geophys. Res. Lett.,
40, 2839–2844, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>3</label><mixed-citation>
Bloomer, B. J., Stehr, J. W., Piety, C. A., Salawitch, R. J., and Dickerson,
R. R.: Observed relationships of ozone air pollution with temperature and
emissions, Geophys. Res. Lett., 36, L09803, <a href="https://doi.org/10.1029/2009GL037308" target="_blank">https://doi.org/10.1029/2009GL037308</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>4</label><mixed-citation>
Brasseur, G., Hauglustaine, D., Walters, S., Rasch, P., Müller, J. F.,
Granier, C., and Tie, X.: MOZART, a global chemical transport model for
ozone and related chemical tracers: 1. Model description, J. Geophys. Res.-Atmos., 103, 28265–28289, 1998.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>5</label><mixed-citation>
Bretherton, C. S. and Park, S.: A new moist turbulence parameterization in
the Community Atmosphere Model, J. Climate, 22, 3422–3448, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>6</label><mixed-citation>
Bronnimann, S., Luterbacher, J., Schmutz, C., Wanner, H., and Staehelin, J.:
Variability of total ozone at Arosa, Switzerland, since 1931 related to
atmospheric circulation indices, Geophys. Res. Lett., 27, 2213–2216, 2000.
</mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>7</label><mixed-citation>
Brown, J. and Bowman, C.: Integrated Science Assessment for Ozone and
Related Photochemical Oxidants, EPA 600/R-10, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>8</label><mixed-citation>
Brown-Steiner, B. and Hess, P.: Asian influence on surface ozone in the
United States: A comparison of chemistry, seasonality, and transport
mechanisms, J. Geophys. Res.-Atmos., 116, D17309, <a href="https://doi.org/10.1029/2011jd015846" target="_blank">https://doi.org/10.1029/2011jd015846</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>9</label><mixed-citation>
Camalier, L., Cox, W., and Dolwick, P.: The effects of meteorology on ozone
in urban areas and their use in assessing ozone trends, Atmos. Environ., 41,
7127–7137, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>10</label><mixed-citation>
Camargo, S. J., Ting, M., and Kushnir, Y.: Influence of local and remote SST
on North Atlantic tropical cyclone potential intensity, Clim. Dynam., 40,
1515–1529, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>11</label><mixed-citation>
Chaudhari, H. S., Pokhrel, S., Kulkarni, A., Hazra, A., and Saha, S. K.:
Clouds–SST relationship and interannual variability modes of Indian summer
monsoon in the context of clouds and SSTs: observational and modelling
aspects, Int. J. Climatol., 36, 4723–4740, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>12</label><mixed-citation>
Christoudias, T., Pozzer, A., and Lelieveld, J.: Influence of the North Atlantic Oscillation on air pollution transport,
Atmos. Chem. Phys., 12, 869–877, <a href="https://doi.org/10.5194/acp-12-869-2012" target="_blank">https://doi.org/10.5194/acp-12-869-2012</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>13</label><mixed-citation>
Chuwah, C., van Noije, T., van Vuuren, D. P., Stehfest, E., and Hazeleger,
W.: Global impacts of surface ozone changes on crop yields and land use,
Atmos. Environ., 106, 11–23, <a href="https://doi.org/10.1016/j.atmosenv.2015.01.062" target="_blank">https://doi.org/10.1016/j.atmosenv.2015.01.062</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>14</label><mixed-citation>
Conley, A. J., Garcia, R., Kinnison, D., Lamarque, J.-F., Marsh, D., Mills,
M., Smith, A. K., Tilmes, S., Vitt, F., and Morrison, H.: Description of the
NCAR community atmosphere model (CAM 5.0), NCAR technical note, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>15</label><mixed-citation>
Creilson, J. K., Fishman, J., and Wozniak, A. E.: Intercontinental transport of tropospheric ozone: a study of its seasonal
variability across the North Atlantic utilizing tropospheric ozone residuals and its relationship to the North Atlantic
Oscillation, Atmos. Chem. Phys., 3, 2053–2066, <a href="https://doi.org/10.5194/acp-3-2053-2003" target="_blank">https://doi.org/10.5194/acp-3-2053-2003</a>, 2003.
</mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>16</label><mixed-citation>
Dentener, F., Kinne, S., Bond, T., Boucher, O., Cofala, J., Generoso, S., Ginoux, P., Gong, S., Hoelzemann, J. J., Ito, A.,
Marelli, L., Penner, J. E., Putaud, J.-P., Textor, C., Schulz, M., van der Werf, G. R., and Wilson, J.: Emissions of primary
aerosol and precursor gases in the years 2000 and 1750 prescribed data-sets for AeroCom, Atmos. Chem. Phys., 6, 4321–4344, <a href="https://doi.org/10.5194/acp-6-4321-2006" target="_blank">https://doi.org/10.5194/acp-6-4321-2006</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>17</label><mixed-citation>
Deser, C., Wahl, S., and Bates, J. J.: The influence of sea surface
temperature gradients on stratiform cloudiness along the equatorial front in
the Pacific Ocean, J. Climate, 6, 1172–1180, 1993.
</mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>18</label><mixed-citation>
Deser, C., Alexander, M. A., Xie, S.-P., and Phillips, A. S.: Sea surface
temperature variability: Patterns and mechanisms, Annu. Rev. Mar. Sci., 2, 115–143, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>19</label><mixed-citation>
Ding, Y., Carton, J. A., Chepurin, G. A., Stenchikov, G., Robock, A.,
Sentman, L. T., and Krasting, J. P.: Ocean response to volcanic eruptions in
Coupled Model Intercomparison Project 5 simulations, J. Geophys. Res.-Oceans, 119, 5622–5637, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib20"><label>20</label><mixed-citation>
Doherty, R. M., Wild, O., Shindell, D. T., Zeng, G., MacKenzie, I. A.,
Collins, W. J., Fiore, A. M., Stevenson, D. S., Dentener, F. J., Schultz, M.
G., Hess, P., Derwent, R. G., and Keating, T. J.: Impacts of climate change
on surface ozone and intercontinental ozone pollution: A multi-model study,
J. Geophys. Res.-Atmos., 118, 3744–3763, <a href="https://doi.org/10.1002/jgrd.50266" target="_blank">https://doi.org/10.1002/jgrd.50266</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib21"><label>21</label><mixed-citation>
Emmons, L. K., Walters, S., Hess, P. G., Lamarque, J.-F., Pfister, G. G., Fillmore, D., Granier, C., Guenther, A., Kinnison, D.,
Laepple, T., Orlando, J., Tie, X., Tyndall, G., Wiedinmyer, C., Baughcum, S. L., and Kloster, S.: Description and evaluation of the
Model for Ozone and Related chemical Tracers, version 4 (MOZART-4), Geosci. Model Dev., 3, 43–67, <a href="https://doi.org/10.5194/gmd-3-43-2010" target="_blank">https://doi.org/10.5194/gmd-3-43-2010</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib22"><label>22</label><mixed-citation>
Fallmann, J., Lewis, H., Castillo, J., Arnold, A., and Ramsdale, S.: Impact
of sea surface temperature on stratiform cloud formation over the North Sea,
Geophys. Res. Lett., 44, 4296–4303, <a href="https://doi.org/10.1002/2017GL073105" target="_blank">https://doi.org/10.1002/2017GL073105</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib23"><label>23</label><mixed-citation>
Fan, L., Shin, S.-I., Liu, Z., and Liu, Q.: Sensitivity of Asian Summer
Monsoon precipitation to tropical sea surface temperature anomalies, Clim. Dynam., 47, 2501–2514, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib24"><label>24</label><mixed-citation>
Fan, M. and Schneider, E. K.: Observed decadal North Atlantic tripole SST
variability, Part I: weather noise forcing and coupled response, J. Atmos. Sci., 69, 35–50, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib25"><label>25</label><mixed-citation>
Fang, Y., Fiore, A. M., Horowitz, L. W., Gnanadesikan, A., Held, I., Chen,
G., Vecchi, G., and Levy, H.: The impacts of changing transport and
precipitation on pollutant distributions in a future climate, J. Geophys. Res.-Atmos., 116, D18303, <a href="https://doi.org/10.1029/2011JD015642" target="_blank">https://doi.org/10.1029/2011JD015642</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib26"><label>26</label><mixed-citation>
Fehsenfeld, F., Daum, P., Leaitch, W., Trainer, M., Parrish, D., and
Hübler, G.: Transport and processing of O3 and O3 precursors over the
North Atlantic: An overview of the 1993 North Atlantic Regional Experiment
(NARE) summer intensive, J. Geophys. Res.-Atmos., 101,
28877–28891, 1996.
</mixed-citation></ref-html>
<ref-html id="bib1.bib27"><label>27</label><mixed-citation>
Fiore, A., Dentener, F., Wild, O., Cuvelier, C., Schultz, M., Hess, P.,
Textor, C., Schulz, M., Doherty, R., and Horowitz, L.: Multimodel estimates
of intercontinental source-receptor relationships for ozone pollution,
J. Geophys. Res.-Atmos., 114, D04301, <a href="https://doi.org/10.1029/2008JD010816" target="_blank">https://doi.org/10.1029/2008JD010816</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib28"><label>28</label><mixed-citation>
Frankignoul, C.: Sea surface temperature anomalies, planetary waves, and
air-sea feedback in the middle latitudes, Rev. Geophys., 23,
357–390, 1985.
</mixed-citation></ref-html>
<ref-html id="bib1.bib29"><label>29</label><mixed-citation>
Frankignoul, C. and Sennéchael, N.: Observed influence of North Pacific
SST anomalies on the atmospheric circulation, J. Climate, 20, 592–606, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib30"><label>30</label><mixed-citation>
Gettelman, A., Morrison, H., and Ghan, S. J.: A new two-moment bulk
stratiform cloud microphysics scheme in the Community Atmosphere Model,
version 3 (CAM3). Part II: Single-column and global results, J. Climate, 21,
3660–3679, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib31"><label>31</label><mixed-citation>
Ghan, S. J., Liu, X., Easter, R. C., Zaveri, R., Rasch, P. J., Yoon, J.-H.,
and Eaton, B.: Toward a minimal representation of aerosols in climate
models: Comparative decomposition of aerosol direct, semidirect, and
indirect radiative forcing, J. Climate, 25, 6461–6476, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib32"><label>32</label><mixed-citation>
Giorgi, F. and Chameides, W.: The rainout parameterization in a
photochemical model, J. Geophys. Res.-Atmos., 90,
7872–7880, 1985.
</mixed-citation></ref-html>
<ref-html id="bib1.bib33"><label>33</label><mixed-citation>
Glantz, M. H., Katz, R. W., and Nicholls, N.: Teleconnections linking
worldwide climate anomalies, Cambridge University Press Cambridge, 1991.
</mixed-citation></ref-html>
<ref-html id="bib1.bib34"><label>34</label><mixed-citation>
Goswami, B., Madhusoodanan, M., Neema, C., and Sengupta, D.: A physical
mechanism for North Atlantic SST influence on the Indian summer monsoon,
Geophys. Res. Lett., 33, L02706, <a href="https://doi.org/10.1029/2005GL024803" target="_blank">https://doi.org/10.1029/2005GL024803</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib35"><label>35</label><mixed-citation>
Graham, N. and Barnett, T.: Sea surface temperature, surface wind
divergence, and convection over tropical oceans, Science, 238, 657–659,
1987.
</mixed-citation></ref-html>
<ref-html id="bib1.bib36"><label>36</label><mixed-citation>
Grewe, V.: The origin of ozone, Atmos. Chem. Phys., 6, 1495–1511, <a href="https://doi.org/10.5194/acp-6-1495-2006" target="_blank">https://doi.org/10.5194/acp-6-1495-2006</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib37"><label>37</label><mixed-citation>
Guenther, R.: Isoprene and monoterpene emission rate variability: model
evaluations and sensitivity analyses, J. Geophys. Res., 98, 12609–12617, <a href="https://doi.org/10.1029/93JD00527" target="_blank">https://doi.org/10.1029/93JD00527</a>, 1993.
</mixed-citation></ref-html>
<ref-html id="bib1.bib38"><label>38</label><mixed-citation>
Gulev, S. K., Latif, M., Keenlyside, N., Park, W., and Koltermann, K. P.:
North Atlantic Ocean control on surface heat flux on multidecadal
timescales, Nature, 499, 464–467, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib39"><label>39</label><mixed-citation>
Hartmann, D. L.: Pacific sea surface temperature and the winter of 2014,
Geophys. Res. Lett., 42, 1894–1902, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib40"><label>40</label><mixed-citation>
Hess, P. and Mahowald, N.: Interannual variability in hindcasts of atmospheric chemistry: the role of meteorology,
Atmos. Chem. Phys., 9, 5261–5280, <a href="https://doi.org/10.5194/acp-9-5261-2009" target="_blank">https://doi.org/10.5194/acp-9-5261-2009</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib41"><label>41</label><mixed-citation>
Horowitz, L. W., Walters, S., Mauzerall, D. L., Emmons, L. K., Rasch, P. J.,
Granier, C., Tie, X., Lamarque, J. F., Schultz, M. G., and Tyndall, G. S.: A
global simulation of tropospheric ozone and related tracers: Description and
evaluation of MOZART, version 2, J. Geophys. Res.-Atmos., 108, 4784, <a href="https://doi.org/10.1029/2002JD002853" target="_blank">https://doi.org/10.1029/2002JD002853</a>, 2003.
</mixed-citation></ref-html>
<ref-html id="bib1.bib42"><label>42</label><mixed-citation>
Hsieh, W.-C., Collins, W. D., Liu, Y., Chiang, J. C. H., Shie, C.-L., Caldeira, K., and Cao, L.: Climate response
due to carbonaceous aerosols and aerosol-induced SST effects in NCAR community atmospheric model CAM3.5,
Atmos. Chem. Phys., 13, 7489–7510, <a href="https://doi.org/10.5194/acp-13-7489-2013" target="_blank">https://doi.org/10.5194/acp-13-7489-2013</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib43"><label>43</label><mixed-citation>
Hurrell, J. W., Hack, J. J., Shea, D., Caron, J. M., and Rosinski, J.: A new
sea surface temperature and sea ice boundary dataset for the Community
Atmosphere Model, J. Climate, 21, 5145–5153, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib44"><label>44</label><mixed-citation>
IPCC: Climate Change 2013: the physical science basis, in: Contribution of
Working Group I to the Fifth Assessment Report of the Intergovernmental
Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner,
G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V.,
and Midgley, P. M., Cambridge University Press, Cambridge, United Kingdom
and New York, NY, USA, 1535 pp., 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib45"><label>45</label><mixed-citation>
Jacob, D.: Introduction to atmospheric chemistry, Princeton University
Press, 1999.
</mixed-citation></ref-html>
<ref-html id="bib1.bib46"><label>46</label><mixed-citation>
Jacob, D. J. and Winner, D. A.: Effect of climate change on air quality,
Atmos. Environ., 43, 51–63, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib47"><label>47</label><mixed-citation>
Jiang, Z., Miyazaki, K., Worden, J. R., Liu, J. J., Jones, D. B. A., and Henze, D. K.: Impacts of anthropogenic and natural sources
on free tropospheric ozone over the Middle East, Atmos. Chem. Phys., 16, 6537–6546, <a href="https://doi.org/10.5194/acp-16-6537-2016" target="_blank">https://doi.org/10.5194/acp-16-6537-2016</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib48"><label>48</label><mixed-citation>
Johnson, C., Collins, W., Stevenson, D., and Derwent, R.: Relative roles of
climate and emissions changes on future tropospheric oxidant concentrations,
J. Geophys. Res.-Atmos., 104, 18631–18645,
1999.
</mixed-citation></ref-html>
<ref-html id="bib1.bib49"><label>49</label><mixed-citation>
Johnson, N. C. and Xie, S.-P.: Changes in the sea surface temperature
threshold for tropical convection, Nat. Geosci., 3, 842–845, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib50"><label>50</label><mixed-citation>
Knowland, K. E., Doherty, R. M., and Hodges, K. I.: The effects of springtime mid-latitude storms on trace gas composition
determined from the MACC reanalysis, Atmos. Chem. Phys., 15, 3605–3628, <a href="https://doi.org/10.5194/acp-15-3605-2015" target="_blank">https://doi.org/10.5194/acp-15-3605-2015</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib51"><label>51</label><mixed-citation>
Kushnir, Y.: Interdecadal variations in North Atlantic sea surface
temperature and associated atmospheric conditions, J. Climate, 7, 141–157,
1994.
</mixed-citation></ref-html>
<ref-html id="bib1.bib52"><label>52</label><mixed-citation>
Kushnir, Y., Robinson, W., Bladé, I., Hall, N., Peng, S., and Sutton,
R.: Atmospheric GCM response to extratropical SST anomalies: Synthesis and
evaluation, J. Climate, 15, 2233–2256, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib53"><label>53</label><mixed-citation>
Lamarque, J.-F. and Hess, P. G.: Arctic Oscillation modulation of the
Northern Hemisphere spring tropospheric ozone, Geophys. Res. Lett., 31, L06127, <a href="https://doi.org/10.1029/2003GL019116" target="_blank">https://doi.org/10.1029/2003GL019116</a>, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib54"><label>54</label><mixed-citation>
Lamarque, J.-F., Bond, T. C., Eyring, V., Granier, C., Heil, A., Klimont, Z., Lee, D., Liousse, C., Mieville, A., Owen, B., Schultz, M. G.,
Shindell, D., Smith, S. J., Stehfest, E., Van Aardenne, J., Cooper, O. R., Kainuma, M., Mahowald, N., McConnell, J. R., Naik, V., Riahi, K.,
and van Vuuren, D. P.: Historical (1850–2000) gridded anthropogenic and biomass burning emissions of reactive gases and aerosols:
methodology and application, Atmos. Chem. Phys., 10, 7017–7039, <a href="https://doi.org/10.5194/acp-10-7017-2010" target="_blank">https://doi.org/10.5194/acp-10-7017-2010</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib55"><label>55</label><mixed-citation>
Lamarque, J.-F., Emmons, L. K., Hess, P. G., Kinnison, D. E., Tilmes, S., Vitt, F., Heald, C. L., Holland, E. A.,
Lauritzen, P. H., Neu, J., Orlando, J. J., Rasch, P. J., and Tyndall, G. K.: CAM-chem: description and evaluation of
interactive atmospheric chemistry in the Community Earth System Model, Geosci. Model Dev., 5, 369–411, <a href="https://doi.org/10.5194/gmd-5-369-2012" target="_blank">https://doi.org/10.5194/gmd-5-369-2012</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib56"><label>56</label><mixed-citation>
Lau, K., Wu, H., and Bony, S.: The role of large-scale atmospheric
circulation in the relationship between tropical convection and sea surface
temperature, J. Climate, 10, 381–392, 1997.
</mixed-citation></ref-html>
<ref-html id="bib1.bib57"><label>57</label><mixed-citation>
Lau, N.-C.: Interactions between global SST anomalies and the midlatitude
atmospheric circulation, B. Am. Meteorol. Soc., 78, 21–33, 1997.
</mixed-citation></ref-html>
<ref-html id="bib1.bib58"><label>58</label><mixed-citation>
Lau, N.-C. and Nath, M. J.: A modeling study of the relative roles of
tropical and extratropical SST anomalies in the variability of the global
atmosphere-ocean system, J. Climate, 7, 1184–1207, 1994.
</mixed-citation></ref-html>
<ref-html id="bib1.bib59"><label>59</label><mixed-citation>
Li, L., Chen, C. H., Huang, C., Huang, H. Y., Zhang, G. F., Wang, Y. J., Wang, H. L., Lou, S. R., Qiao, L. P., Zhou, M.,
Chen, M. H., Chen, Y. R., Streets, D. G., Fu, J. S., and Jang, C. J.: Process analysis of regional ozone formation over
the Yangtze River Delta, China using the Community Multi-scale Air Quality modeling system, Atmos. Chem. Phys., 12, 10971–10987,
<a href="https://doi.org/10.5194/acp-12-10971-2012" target="_blank">https://doi.org/10.5194/acp-12-10971-2012</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib60"><label>60</label><mixed-citation>
Li, S., Lu, J., Huang, G., and Hu, K.: Tropical Indian Ocean basin warming
and East Asian summer monsoon: A multiple AGCM study, J. Climate, 21,
6080–6088, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib61"><label>61</label><mixed-citation>
Lin, M., Fiore, A. M., Horowitz, L. W., Cooper, O. R., Naik, V., Holloway,
J., Johnson, B. J., Middlebrook, A. M., Oltmans, S. J., and Pollack, I. B.:
Transport of Asian ozone pollution into surface air over the western United
States in spring, J. Geophys. Res.-Atmos., 117, D00V07, <a href="https://doi.org/10.1029/2011JD016961" target="_blank">https://doi.org/10.1029/2011JD016961</a>, 2012a.
</mixed-citation></ref-html>
<ref-html id="bib1.bib62"><label>62</label><mixed-citation>
Lin, M. Y., Fiore, A. M., Cooper, O. R., Horowitz, L. W., Langford, A. O.,
Levy, H., Johnson, B. J., Naik, V., Oltmans, S. J., and Senff, C. J.:
Springtime high surface ozone events over the western United States:
Quantifying the role of stratospheric intrusions, J. Geophys. Res.-Atmos., 117,
D00v22, <a href="https://doi.org/10.1029/2012jd018151" target="_blank">https://doi.org/10.1029/2012jd018151</a>, 2012b.
</mixed-citation></ref-html>
<ref-html id="bib1.bib63"><label>63</label><mixed-citation>
Lin, M., Horowitz, L. W., Oltmans, S. J., Fiore, A. M., and Fan, S.:
Tropospheric ozone trends at Mauna Loa Observatory tied to decadal climate
variability, Nat. Geosci., 7, 136–143, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib64"><label>64</label><mixed-citation>
Lin, M., Fiore, A. M., Horowitz, L. W., Langford, A. O., Oltmans, S. J.,
Tarasick, D., and Rieder, H. E.: Climate variability modulates western US
ozone air quality in spring via deep stratospheric intrusions, Nat. Commun.,
6, 7105, <a href="https://doi.org/10.1038/ncomms8105" target="_blank">https://doi.org/10.1038/ncomms8105</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib65"><label>65</label><mixed-citation>
Liu, J., Mauzerall, D. L., and Horowitz, L. W.: Analysis of seasonal and
interannual variability in transpacific transport, J. Geophys. Res.-Atmos., 110, D04302, <a href="https://doi.org/10.1029/2004JD005207" target="_blank">https://doi.org/10.1029/2004JD005207</a>, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib66"><label>66</label><mixed-citation>
Liu, X., Easter, R. C., Ghan, S. J., Zaveri, R., Rasch, P., Shi, X., Lamarque, J.-F., Gettelman, A., Morrison, H., Vitt, F., Conley, A.,
Park, S., Neale, R., Hannay, C., Ekman, A. M. L., Hess, P., Mahowald, N., Collins, W., Iacono, M. J., Bretherton, C. S., Flanner, M. G.,
and Mitchell, D.: Toward a minimal representation of aerosols in climate models: description and evaluation in the Community Atmosphere
Model CAM5, Geosci. Model Dev., 5, 709–739, <a href="https://doi.org/10.5194/gmd-5-709-2012" target="_blank">https://doi.org/10.5194/gmd-5-709-2012</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib67"><label>67</label><mixed-citation>
Mantua, N. J. and Hare, S. R.: The Pacific decadal oscillation, J. Oceanogr.,
58, 35–44, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib68"><label>68</label><mixed-citation>
Meehl, G. A., Teng, H., Maher, N., and England, M. H.: Effects of the Mount
Pinatubo eruption on decadal climate prediction skill of Pacific sea surface
temperatures, Geophys. Res. Lett., 42, 10840–10846, <a href="https://doi.org/10.1002/2015GL066608" target="_blank">https://doi.org/10.1002/2015GL066608</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib69"><label>69</label><mixed-citation>
Morrison, H. and Gettelman, A.: A new two-moment bulk stratiform cloud
microphysics scheme in the Community Atmosphere Model, version 3 (CAM3),
Part I: Description and numerical tests, J. Climate, 21, 3642–3659, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib70"><label>70</label><mixed-citation>
Ordónez, C.,  Mathis, H., Furger, M., Henne, S., Hüglin, C., Staehelin, J., and Prévôt, A. S. H.: C
hanges of daily surface ozone maxima in Switzerland in all seasons from 1992 to 2002 and discussion of summer 2003,
Atmos. Chem. Phys., 5, 1187–1203, <a href="https://doi.org/10.5194/acp-5-1187-2005" target="_blank">https://doi.org/10.5194/acp-5-1187-2005</a>, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib71"><label>71</label><mixed-citation>
Park, S. and Bretherton, C. S.: The University of Washington shallow
convection and moist turbulence schemes and their impact on climate
simulations with the Community Atmosphere Model, J. Climate, 22, 3449–3469,
2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib72"><label>72</label><mixed-citation>
Parrish, D. D., Holloway, J. S., Trainer, M., Murphy, P. C., Fehsenfeld, F.
C., and Forbes, G. L.: Export of North American ozone pollution to the north
Atlantic Ocean, Science, 259, 1436–1439, 1993.
</mixed-citation></ref-html>
<ref-html id="bib1.bib73"><label>73</label><mixed-citation>
Pausata, F. S. R., Pozzoli, L., Vignati, E., and Dentener, F. J.: North Atlantic Oscillation and tropospheric ozone
variability in Europe: model analysis and measurements intercomparison, Atmos. Chem. Phys., 12, 6357–6376, <a href="https://doi.org/10.5194/acp-12-6357-2012" target="_blank">https://doi.org/10.5194/acp-12-6357-2012</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib74"><label>74</label><mixed-citation>
Peñuelas, J. and Llusià, J.: The complexity of factors driving
volatile organic compound emissions by plants, Biol. Plantarum, 44,
481–487, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib75"><label>75</label><mixed-citation>
Philander, S. G. H.: El Niño southern oscillation phenomena, Nature,
302, 295–301, 1983.
</mixed-citation></ref-html>
<ref-html id="bib1.bib76"><label>76</label><mixed-citation>
Price, C., Penner, J., and Prather, M.: NOx from lightning: 1. Global
distribution based on lightning physics, J. Geophys. Res.-Atmos., 102, 5929–5941, 1997.
</mixed-citation></ref-html>
<ref-html id="bib1.bib77"><label>77</label><mixed-citation>
Pusede, S. E., Steiner, A. L., and Cohen, R. C.: Temperature and Recent
Trends in the Chemistry of Continental Surface Ozone, Chem. Rev., 115,
3898–3918, <a href="https://doi.org/10.1021/cr5006815" target="_blank">https://doi.org/10.1021/cr5006815</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib78"><label>78</label><mixed-citation>
Rasmussen, D. J., Fiore, A. M., Naik, V., Horowitz, L. W., McGinnis, S. J.,
and Schultz, M. G.: Surface ozone-temperature relationships in the eastern
US: A monthly climatology for evaluating chemistry-climate models, Atmos. Environ., 47, 142–153, <a href="https://doi.org/10.1016/j.atmosenv.2011.11.021" target="_blank">https://doi.org/10.1016/j.atmosenv.2011.11.021</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib79"><label>79</label><mixed-citation>
Raymond, D. and Blyth, A.: Extension of the stochastic mixing model to
cumulonimbus clouds, J. Atmos. Sci., 49, 1968–1983, 1992.
</mixed-citation></ref-html>
<ref-html id="bib1.bib80"><label>80</label><mixed-citation>
Raymond, D. J. and Blyth, A. M.: A stochastic mixing model for
nonprecipitating cumulus clouds, J. Atmos. Sci., 43, 2708–2718, 1986.
</mixed-citation></ref-html>
<ref-html id="bib1.bib81"><label>81</label><mixed-citation>
Richter, J. H. and Rasch, P. J.: Effects of convective momentum transport
on the atmospheric circulation in the Community Atmosphere Model, version 3,
J. Climate, 21, 1487–1499, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib82"><label>82</label><mixed-citation>
Rotstayn, L. D. and Lohmann, U.: Tropical rainfall trends and the indirect
aerosol effect, J. Climate, 15, 2103–2116, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib83"><label>83</label><mixed-citation>
Roxy, M. K., Ritika, K.,
Terray, P., Murtugudde, R., Ashok, K., and Goswami, B.: Drying of Indian
subcontinent by rapid Indian Ocean warming and a weakening land-sea thermal
gradient, Nat. Commun., 6, 7423, <a href="https://doi.org/10.1038/ncomms8423" target="_blank">https://doi.org/10.1038/ncomms8423</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib84"><label>84</label><mixed-citation>
Sabeerali, C., Rao, S. A., Ajayamohan, R., and Murtugudde, R.: On the
relationship between Indian summer monsoon withdrawal and Indo-Pacific SST
anomalies before and after 1976/1977 climate shift, Clim. Dynam., 39, 841–859,
2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib85"><label>85</label><mixed-citation>
Saji, N., Goswami, B., Vinayachandran, P., and Yamagata, T.: A dipole mode
in the tropical Indian Ocean, Nature, 401, 360–363, 1999.
</mixed-citation></ref-html>
<ref-html id="bib1.bib86"><label>86</label><mixed-citation>
Seager, R. and Henderson, N.: On the Role of Tropical Ocean Forcing of the
Persistent North American West Coast Ridge of Winter 2013/14 a, J. Climate,
29, 8027–8049, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib87"><label>87</label><mixed-citation>
Shindell, D. T., Chin, M., Dentener, F., Doherty, R. M., Faluvegi, G., Fiore, A. M., Hess, P., Koch, D. M., MacKenzie, I. A.,
Sanderson, M. G., Schultz, M. G., Schulz, M., Stevenson, D. S., Teich, H., Textor, C., Wild, O., Bergmann, D. J., Bey, I.,
Bian, H., Cuvelier, C., Duncan, B. N., Folberth, G., Horowitz, L. W., Jonson, J., Kaminski, J. W., Marmer, E., Park, R.,
Pringle, K. J., Schroeder, S., Szopa, S., Takemura, T., Zeng, G., Keating, T. J., and Zuber, A.: A multi-model assessment
of pollution transport to the Arctic, Atmos. Chem. Phys., 8, 5353–5372, <a href="https://doi.org/10.5194/acp-8-5353-2008" target="_blank">https://doi.org/10.5194/acp-8-5353-2008</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib88"><label>88</label><mixed-citation>
Sillman, S. and Samson, P. J.: Impact of temperature on oxidant
photochemistry in urban, polluted rural and remote environments, J. Geophys. Res.-Atmos., 100, 11497–11508, 1995.
</mixed-citation></ref-html>
<ref-html id="bib1.bib89"><label>89</label><mixed-citation>
Simmonds, P., Derwent, R., Manning, A., and Spain, G.: Significant growth in
surface ozone at Mace Head, Ireland, 1987–2003, Atmos. Environ., 38,
4769–4778, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib90"><label>90</label><mixed-citation>
Simon, H., Reff, A., Wells, B., Xing, J., and Frank, N.: Ozone trends across
the United States over a period of decreasing NOx and VOC emissions, Environ. Sci. Technol., 49, 186–195, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib91"><label>91</label><mixed-citation>
Small, R., Xie, S., O'Neill, L., Seo, H., Song, Q., Cornillon, P., Spall,
M., and Minobe, S.: Air–sea interaction over ocean fronts and eddies, Dynam. Atmos. Oceans., 45, 274–319, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib92"><label>92</label><mixed-citation>
Sutton, R. T. and Hodson, D. L.: Atlantic Ocean forcing of North American
and European summer climate, Science, 309, 115–118, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib93"><label>93</label><mixed-citation>
Sutton, R. T. and Hodson, D. L.: Climate response to basin-scale warming
and cooling of the North Atlantic Ocean, J. Climate, 20, 891–907, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib94"><label>94</label><mixed-citation>
Taboada, F. G. and Anadon, R.: Patterns of change in sea surface
temperature in the North Atlantic during the last three decades: beyond mean
trends, Climatic Change, 115, 419–431, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib95"><label>95</label><mixed-citation>
Tao, W., Liu, J., Ban-Weiss, G. A., Hauglustaine, D. A., Zhang, L., Zhang, Q., Cheng, Y., Yu, Y., and Tao, S.: Effects
of urban land expansion on the regional meteorology and air quality of eastern China, Atmos. Chem. Phys., 15, 8597–8614, <a href="https://doi.org/10.5194/acp-15-8597-2015" target="_blank">https://doi.org/10.5194/acp-15-8597-2015</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib96"><label>96</label><mixed-citation>
Taschetto, A., Rodrigues, R., Meehl, G., McGregor, S., and England, M.: How
sensitive are the Pacific–tropical North Atlantic teleconnections to the
position and intensity of El Niño-related warming?, Clim. Dynam., 46,
1841–1860, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib97"><label>97</label><mixed-citation>
Tie, X., Madronich, S., Walters, S., Edwards, D. P., Ginoux, P., Mahowald,
N., Zhang, R., Lou, C., and Brasseur, G.: Assessment of the global impact of
aerosols on tropospheric oxidants, J. Geophys. Res.-Atmos., 110, D03204, <a href="https://doi.org/10.1029/2004JD005359" target="_blank">https://doi.org/10.1029/2004JD005359</a>, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib98"><label>98</label><mixed-citation>
Tilmes, S., Lamarque, J.-F., Emmons, L. K., Kinnison, D. E., Ma, P.-L., Liu, X., Ghan, S., Bardeen, C., Arnold, S.,
Deeter, M., Vitt, F., Ryerson, T., Elkins, J. W., Moore, F., Spackman, J. R., and Val Martin, M.: Description and
evaluation of tropospheric chemistry and aerosols in the Community Earth System Model (CESM1.2), Geosci. Model Dev., 8, 1395–1426, <a href="https://doi.org/10.5194/gmd-8-1395-2015" target="_blank">https://doi.org/10.5194/gmd-8-1395-2015</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib99"><label>99</label><mixed-citation>
Ueda, H., Kamae, Y., Hayasaki, M., Kitoh, A., Watanabe, S., Miki, Y., and
Kumai, A.: Combined effects of recent Pacific cooling and Indian Ocean
warming on the Asian monsoon, Nat. Commun., 6, 8854, <a href="https://doi.org/10.1038/ncomms9854" target="_blank">https://doi.org/10.1038/ncomms9854</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib100"><label>100</label><mixed-citation>
Vingarzan, R.: A review of surface ozone background levels and trends, Atmos. Environ., 38, 3431–3442, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib101"><label>101</label><mixed-citation>
Walmsley, J. L. and Wesely, M. L.: Modification of coded parametrizations
of surface resistances to gaseous dry deposition, Atmos. Environ., 30,
1181–1188, 1996.
</mixed-citation></ref-html>
<ref-html id="bib1.bib102"><label>102</label><mixed-citation>
Wang, B., Wu, R., and Fu, X.: Pacific-East Asian teleconnection: how does
ENSO affect East Asian climate?, J. Climate, 13, 1517–1536, 2000.
</mixed-citation></ref-html>
<ref-html id="bib1.bib103"><label>103</label><mixed-citation>
Wang, C., Deser, C., Yu, J.-Y., DiNezio, P., and Clement, A.: El Nino and
southern oscillation (ENSO): a review, Coral Reefs of the Eastern Pacific,
8,
85–106, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib104"><label>104</label><mixed-citation>
Wang, X., Zhang, Y., Hu, Y., Zhou, W., Lu, K., Zhong, L., Zeng, L., Shao, M., Hu, M., and Russell, A. G.: Process analysis and
sensitivity study of regional ozone formation over the Pearl River Delta, China, during the PRIDE-PRD2004 campaign using the
Community Multiscale Air Quality modeling system, Atmos. Chem. Phys., 10, 4423–4437, <a href="https://doi.org/10.5194/acp-10-4423-2010" target="_blank">https://doi.org/10.5194/acp-10-4423-2010</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib105"><label>105</label><mixed-citation>
Webster, P. J.: Mechanisms determining the atmospheric response to sea
surface temperature anomalies, J. Atmos. Sci., 38, 554–571, 1981.
</mixed-citation></ref-html>
<ref-html id="bib1.bib106"><label>106</label><mixed-citation>
Wesely, M.: Parameterization of surface resistances to gaseous dry
deposition in regional-scale numerical models, Atmos. Environ., 23, 1293–1304, 1989.
</mixed-citation></ref-html>
<ref-html id="bib1.bib107"><label>107</label><mixed-citation>
Wesely, M. and Hicks, B.: A review of the current status of knowledge on
dry deposition, Atmos. Environ., 34, 2261–2282, 2000.
</mixed-citation></ref-html>
<ref-html id="bib1.bib108"><label>108</label><mixed-citation>
Wild, O. and Akimoto, H.: Intercontinental transport of ozone and its
precursors in a three-dimensional global CTM, J. Geophys. Res.-Atmos., 106, 27729–27744, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib109"><label>109</label><mixed-citation>
World Health Organization: Review of evidence on health aspects of air
pollution–REVIHAAP Project, World Health Organization, Copenhagen, Denmark,
2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib110"><label>110</label><mixed-citation>
Wu, L. and Liu, Z.: North Atlantic Decadal Variability: Air-Sea Coupling,
Oceanic Memory, and Potential Northern Hemisphere Resonance, J. Climate, 18,
331–349, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib111"><label>111</label><mixed-citation>
Wu, R. G. and Kinter, J. L.: Shortwave radiation-SST relationship over the
mid-latitude North Pacific during boreal summer in climate models, Clim. Dynam., 36, 2251–2264, <a href="https://doi.org/10.1007/s00382-010-0775-5" target="_blank">https://doi.org/10.1007/s00382-010-0775-5</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib112"><label>112</label><mixed-citation>
Wu, S., Mickley, L. J., Leibensperger, E. M., Jacob, D. J., Rind, D., and
Streets, D. G.: Effects of 2000–2050 global change on ozone air quality in
the United States, J. Geophys. Res.-Atmos., 113, D06302, <a href="https://doi.org/10.1029/2007JD008917" target="_blank">https://doi.org/10.1029/2007JD008917</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib113"><label>113</label><mixed-citation>
Xi, J., Zhou, L., Murtugudde, R., and Jiang, L.: Impacts of intraseasonal
sst anomalies on precipitation during Indian summer monsoon, J. Climate, 28,
4561–4575, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib114"><label>114</label><mixed-citation>
Yang, J., Liu, Q., Xie, S. P., Liu, Z., and Wu, L.: Impact of the Indian
Ocean SST basin mode on the Asian summer monsoon, Geophys. Res. Lett., 34,
L02708, <a href="https://doi.org/10.1029/2006GL028571" target="_blank">https://doi.org/10.1029/2006GL028571</a>, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib115"><label>115</label><mixed-citation>
Zeng, G., Pyle, J. A., and Young, P. J.: Impact of climate change on tropospheric ozone and its global budgets,
Atmos. Chem. Phys., 8, 369–387, <a href="https://doi.org/10.5194/acp-8-369-2008" target="_blank">https://doi.org/10.5194/acp-8-369-2008</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib116"><label>116</label><mixed-citation>
Zhang, G. J. and McFarlane, N. A.: Sensitivity of climate simulations to
the parameterization of cumulus convection in the Canadian Climate Centre
general circulation model, Atmos. Ocean., 33, 407–446, 1995.
</mixed-citation></ref-html>
<ref-html id="bib1.bib117"><label>117</label><mixed-citation>
Zhang, L., Jacob, D. J., Yue, X., Downey, N. V., Wood, D. A., and Blewitt, D.: Sources contributing to background surface
ozone in the US Intermountain West, Atmos. Chem. Phys., 14, 5295–5309, <a href="https://doi.org/10.5194/acp-14-5295-2014" target="_blank">https://doi.org/10.5194/acp-14-5295-2014</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib118"><label>118</label><mixed-citation>
Zhang, Y. and Wu, S.-Y.: Understanding of the Fate of Atmospheric
Pollutants Using a Process Analysis Tool in a 3-D Regional Air Quality Model
at a Fine Grid Scale, Atmospheric and Climate Sciences, 3, 18–30,  <a href="https://doi.org/10.4236/acs.2013.31004" target="_blank">https://doi.org/10.4236/acs.2013.31004</a>, 2013.
</mixed-citation></ref-html>--></article>
