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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" xml:lang="en" dtd-version="3.0"><?xmltex \makeatother\@nolinetrue\makeatletter?>
  <front>
    <journal-meta><journal-id journal-id-type="publisher">ACP</journal-id><journal-title-group>
    <journal-title>Atmospheric Chemistry and Physics</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ACP</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Atmos. Chem. Phys.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1680-7324</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/acp-21-6799-2021</article-id><title-group><article-title>Impact of regional Northern Hemisphere mid-latitude anthropogenic sulfur dioxide emissions on local and <?xmltex \hack{\break}?>remote tropospheric oxidants</article-title><alt-title>Impact of regional Northern Hemisphere mid-latitude anthropogenic sulfur dioxide</alt-title>
      </title-group><?xmltex \runningtitle{Impact of regional Northern Hemisphere mid-latitude anthropogenic sulfur dioxide}?><?xmltex \runningauthor{D. M. Westervelt et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Westervelt</surname><given-names>Daniel M.</given-names></name>
          <email>danielmw@ldeo.columbia.edu</email>
        <ext-link>https://orcid.org/0000-0003-0806-9961</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff3">
          <name><surname>Fiore</surname><given-names>Arlene M.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-0221-2122</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff3">
          <name><surname>Baublitz</surname><given-names>Colleen B.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-6454-9025</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Correa</surname><given-names>Gustavo</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-0098-7322</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Lamont–Doherty Earth Observatory, Columbia University, Palisades, New
York, USA</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>NASA Goddard Institute for Space Studies, New York, New York, USA</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Department of Earth and Environmental Sciences, Columbia University,
Palisades, New York, USA</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Daniel M. Westervelt (danielmw@ldeo.columbia.edu)</corresp></author-notes><pub-date><day>5</day><month>May</month><year>2021</year></pub-date>
      
      <volume>21</volume>
      <issue>9</issue>
      <fpage>6799</fpage><lpage>6810</lpage>
      <history>
        <date date-type="received"><day>9</day><month>December</month><year>2020</year></date>
           <date date-type="rev-request"><day>5</day><month>January</month><year>2021</year></date>
           <date date-type="rev-recd"><day>23</day><month>March</month><year>2021</year></date>
           <date date-type="accepted"><day>30</day><month>March</month><year>2021</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2021 </copyright-statement>
        <copyright-year>2021</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://acp.copernicus.org/articles/.html">This article is available from https://acp.copernicus.org/articles/.html</self-uri><self-uri xlink:href="https://acp.copernicus.org/articles/.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/.pdf</self-uri>
      <abstract><title>Abstract</title>
    <p id="d1e124">The unintended consequences of reductions in regional
anthropogenic sulfur dioxide (SO<inline-formula><mml:math id="M1" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>) emissions implemented to protect
human health are poorly understood. SO<inline-formula><mml:math id="M2" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> decreases began in the 1970s in
the US and Europe and are expected to continue into the future, while recent
emissions decreases in China are also projected to continue. In addition to
the well-documented climate effects (warming) from reducing aerosols,
tropospheric oxidation is impacted via aerosol modification of photolysis
rates and radical sinks. Impacts on the hydroxyl radical and other trace
constituents directly affect climate and air quality metrics such as surface
ozone levels. We use the Geophysical Fluid Dynamics Laboratory Atmospheric
Model version 3 nudged towards National Centers for Environmental Prediction
(NCEP) reanalysis wind velocities to estimate the impact of SO<inline-formula><mml:math id="M3" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
emissions from the US, Europe, and China by differencing a
control simulation with an otherwise identical simulation in which 2015
anthropogenic SO<inline-formula><mml:math id="M4" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions are set to zero over one of the regions.
Springtime sulfate aerosol changes occur both locally to the emission region
and also throughout the Northern Hemispheric troposphere, including remote
oceanic regions and the Arctic. Hydroperoxy (HO<inline-formula><mml:math id="M5" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>) radicals are directly
removed via heterogeneous chemistry on aerosol surfaces, including sulfate,
in the model, and we find that sulfate aerosol produced by SO<inline-formula><mml:math id="M6" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
emissions from the three individual northern mid-latitude regions strongly
reduces both HO<inline-formula><mml:math id="M7" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and hydroxyl (OH) by up to 10 % year-round
throughout most of the troposphere north of 30<inline-formula><mml:math id="M8" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N latitude.
Regional SO<inline-formula><mml:math id="M9" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions significantly increase nitrogen oxides
(NO<inline-formula><mml:math id="M10" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>) by about 5 %–8 % throughout most of the free troposphere in the
Northern Hemisphere by increasing the NO<inline-formula><mml:math id="M11" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> lifetime as the heterogeneous
sink of HO<inline-formula><mml:math id="M12" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> on sulfate aerosol declines. Despite the NO<inline-formula><mml:math id="M13" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>
increases, tropospheric ozone decreases at northern mid-latitudes by 1 %–4 %
zonally averaged and by up to 5 ppbv in summertime surface air over China,
where the decreases in HO<inline-formula><mml:math id="M14" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and OH suppress 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. Since
2015 anthropogenic SO<inline-formula><mml:math id="M16" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions in China exceed those in the US or
Europe, the oxidative response is greatest for the China perturbation
simulation. Chemical effects of aerosols on oxidation (reactive uptake)
dominate over radiative effects (photolysis rates), the latter of which are
only statistically significant locally for the large perturbation over
China. We find that the SO<inline-formula><mml:math id="M17" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions decrease in China, which has yet
to be fully realized, will have the largest impact on oxidants and related
species in the Northern Hemisphere free troposphere compared to future
decreases in Europe or the US. Our results bolster previous calls for a
multipollutant strategy for air pollution mitigation to avoid the
unintended consequence of aerosol removal leading to surface ozone increases
that offset or mask surface ozone gains achieved by regulation of other
pollutants, especially in countries where current usage of high-sulfur
emitting fuels may be phased out in the future.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

      <?xmltex \hack{\newpage}?>
<?pagebreak page6800?><sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e293">Understanding and constraining tropospheric oxidants such as the hydroxyl
radical (OH) remains a key challenge of direct relevance to understanding
the oxidizing power of the atmosphere, radiative forcing, and surface air
quality. Despite the critical role in atmospheric chemistry, OH abundances
differ widely among chemistry–climate and chemical transport models (Stevenson
et al., 2020; Zhao et al., 2019). In addition, global annual mean OH
response to historical anthropogenic emission changes (all species) between
the preindustrial and the present-day ranged from a 12.7 % decrease to a
14.6 % increase across 17 global models (Naik
et al., 2013b), with similar discrepancies across simulations of future
composition and climate (Voulgarakis et
al., 2013). These differences between model estimates of OH suggest major
knowledge gaps in our understanding of the drivers of OH. One potential
driver of tropospheric oxidant changes that has not received sufficient
study is aerosols, which can uptake radical species (chemical effect) and
scatter or absorb incoming solar radiation (radiative effect), thereby
impacting OH and other important chemical species (Jacob,
2000; Wild et al., 2000).</p>
      <p id="d1e296">Anthropogenic emissions of sulfur dioxide (SO<inline-formula><mml:math id="M18" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>), a precursor to sulfate
aerosol, have significantly decreased in the US and Europe for
the last several decades and are projected to continue to decline (Riahi
et al., 2011; Vuuren et al., 2011; Westervelt et al., 2015). In China,
emissions of anthropogenic aerosols began to decline in about 2013 after
increasing for decades (Fontes et al.,
2017; Li et al., 2017; Samset et al., 2018). Previous research has indicated
that these past and forthcoming emission changes have the potential to
influence the tropospheric oxidation capacity on both a regional and global
basis (Dentener and
Crutzen, 1993; Dickerson et al., 1997; Martin et al., 2003). The aerosol
decreases in China were associated with subsequent increases in summertime
surface ozone (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>) in China, attributed to a reduction in the sink of
radical species such as the hydroperoxyl radical (HO<inline-formula><mml:math id="M20" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>) that promote
O<inline-formula><mml:math id="M21" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> production (Li et al., 2019b).
Using a model and observations, the authors found that a 40 % decrease in
fine particulate matter (PM<inline-formula><mml:math id="M22" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula>) in China between 2013 and 2017 led to
an increasing ozone trend of up to 3 ppb per year in eastern China and was a
more important factor than NO<inline-formula><mml:math id="M23" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> emissions reductions over the same time
period (Li
et al., 2019a, b). These findings confirm earlier modeling work and
point to an important role for aerosol impacts on tropospheric oxidation
with implications for 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> concentrations, especially over China (Li
et al., 2018; Lou et al., 2014).</p>
      <p id="d1e363">On a global scale, the impact of aerosols on tropospheric oxidants has
received little attention. Often, aerosol impacts are assumed to be
negligible in constraining present and future OH concentrations (Voulgarakis
et al., 2013). Primary production of OH depends on the amount of water vapor
and O(<inline-formula><mml:math id="M25" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msup></mml:math></inline-formula>D) present (formed via 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> photolysis) and is the dominant
pathway of OH formation in most locations except for high latitudes (Spivakovsky
et al., 2000). Secondary production involves reactions of HO<inline-formula><mml:math id="M27" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> or
RO<inline-formula><mml:math id="M28" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (organic peroxy) radicals generated from oxidation of volatile
organic compounds (VOCs) or carbon monoxide (CO) with nitric oxide (NO),
which regenerates OH. Concentrations of these atmospheric constituents and
certain meteorological factors such as absolute humidity, temperature, and
ultraviolet radiation are thought to predominantly control OH abundance (Spivakovsky
et al., 2000). However, by differencing a Goddard Earth Observing System
Chemistry Transport Model (GEOS-Chem) control simulation of late 1990s
atmospheric composition with a sensitivity simulation in which the offline
global aerosols are excluded, Martin et al. (2003) find
that the presence of all aerosols decreases OH by 9 % globally and
5 %–35 % in the Northern Hemisphere boundary layer. The authors also find
15–45 ppbv decreases in boundary layer 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> over India in March
associated with the presence of all aerosols compared to all aerosols
removed. In a similar global study, Tie et al. (2005) use the
Model for Ozone and Related Chemical Tracers version 2 (MOZART-2) to show
that the net effect of all aerosols (natural and anthropogenic) reduces
HO<inline-formula><mml:math id="M30" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> (defined as OH <inline-formula><mml:math id="M31" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> HO<inline-formula><mml:math id="M32" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>) and O<inline-formula><mml:math id="M33" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> by 30 % and 20 %,
respectively, improving on past methodology (e.g., Martin et al., 2003) by
calculating aerosol abundances interactively. Past studies only considered
global distributions of aerosols and often focused on natural aerosols such
as dust or sea salt (Bian and
Zender, 2003; Liao et al., 2003). The impact of rapidly changing spatially
heterogeneous anthropogenic aerosol abundances on tropospheric OH and
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> in response to regional air pollution control programs is thus an
open question.</p>
      <p id="d1e455">We expand on past studies by considering sulfate aerosol decrease via
SO<inline-formula><mml:math id="M35" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions reductions within individual regions (China, Europe, and
the US), and quantify the local and remote impacts of changing these
emissions on atmospheric HO<inline-formula><mml:math id="M36" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>, NO<inline-formula><mml:math id="M37" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>, and 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> concentrations on
a seasonal basis within a chemistry–climate model nudged to observed
meteorology. We focus on anthropogenic SO<inline-formula><mml:math id="M39" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions, which have
decreased most dramatically in many regions compared to
anthropogenically sourced carbonaceous aerosols or natural aerosols such as
dust and sea salt. We seek mechanistic understanding of the interactions
between aerosols, oxidants, and radical species and photolysis rates over
different regions and in different seasons. We consider two main pathways
through which aerosols can affect oxidation: modification of photolysis
rates via extinction of incoming solar radiation (radiative effect) and
heterogeneous uptake of radical species onto aerosol surfaces (chemical
effect). Finally, we consider the impact of anthropogenic SO<inline-formula><mml:math id="M40" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions
reductions on boreal summertime surface 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> concentrations in China,
Europe, and the US.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><?xmltex \currentcnt{1}?><?xmltex \def\figurename{Figure}?><label>Figure 1</label><caption><p id="d1e525">Boreal springtime (MAM) mean percent change in sulfate
concentration between a control simulation and a perturbation simulation in
which anthropogenic SO<inline-formula><mml:math id="M42" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions are removed over a certain region:
<bold>(a, b)</bold> US, <bold>(c, d)</bold> Europe, and <bold>(e, f)</bold> China. Hatching denotes statistical
significance according to a Student's <inline-formula><mml:math id="M43" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test at the 95 % confidence level.</p></caption>
        <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/6799/2021/acp-21-6799-2021-f01.png"/>

      </fig>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e562">Heterogeneous reactive uptake coefficients for several reactions in
GFDL-AM3.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="2">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Reaction</oasis:entry>
         <oasis:entry colname="col2">Uptake</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">coefficient (<inline-formula><mml:math id="M44" display="inline"><mml:mi mathvariant="italic">γ</mml:mi></mml:math></inline-formula>)</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M45" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">HO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>→</mml:mo><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> or <inline-formula><mml:math id="M46" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">0.2</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M47" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">N</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">5</mml:mn></mml:msub><mml:mo>→</mml:mo><mml:mn mathvariant="normal">2.0</mml:mn><mml:msub><mml:mi mathvariant="normal">HNO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">0.1</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M48" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>→</mml:mo><mml:mn mathvariant="normal">1.0</mml:mn><mml:msub><mml:mi mathvariant="normal">HNO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">0.1</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M49" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>→</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn><mml:msub><mml:mi mathvariant="normal">HNO</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">0.0001</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><?xmltex \def\figurename{Figure}?><label>Figure 2</label><caption><p id="d1e735">Boreal springtime (MAM) mean percent change in OH <bold>(a, c, e)</bold>
and HO<inline-formula><mml:math id="M50" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> <bold>(b, d, f)</bold> between a control simulation and a perturbation
simulation in which anthropogenic SO<inline-formula><mml:math id="M51" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions are removed over a
certain region: <bold>(a, b)</bold> US, <bold>(c, d)</bold> Europe, and <bold>(e, f)</bold> China. Hatching denotes
statistical significance according to a Student's <inline-formula><mml:math id="M52" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test at the 95 %
confidence level.</p></caption>
        <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/6799/2021/acp-21-6799-2021-f02.png"/>

      </fig>

</sec>
<?pagebreak page6801?><sec id="Ch1.S2">
  <label>2</label><title>Model and simulations</title>
      <p id="d1e793">We use the National Oceanic and Atmospheric Administration Geophysical Fluid
Dynamics Laboratory Atmospheric Model version 3 (GFDL-AM3), which is the
atmosphere-only component of the GFDL-coupled climate model, CM3 (Donner et al., 2011). The
model has been rigorously evaluated against observations in previous work,
including against surface observations of O<inline-formula><mml:math id="M53" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> over the US, Europe, and
China (Donner
et al., 2011; Naik et al., 2013a, Westervelt et al., 2019). Paulot et al. (2016) evaluate sulfate concentrations in GFDL-AM3 over the US (Interagency
Monitoring of Protected Visual Environments, IMPROVE) and Europe (European
Monitoring and Evaluation Programme, EMEP) and find a normalized mean bias
of 0.07 in model surface concentrations compared against IMPROVE and a <inline-formula><mml:math id="M54" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.43</mml:mn></mml:mrow></mml:math></inline-formula>
mean normalized bias over Europe against EMEP. The model has 48 vertical
layers from the surface up to about 0.01 hPa and a six-face cubed-sphere
grid with 48 cells along each edge (C48), which is regridded to a 2<inline-formula><mml:math id="M55" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>
latitude by 2.5<inline-formula><mml:math id="M56" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> longitude Cartesian grid. Emissions of anthropogenic
trace gases and aerosols for year 2015 emissions are from the Representative
Concentration Pathway 8.5 (RCP8.5) scenario (Riahi et al.,
2011). The tropospheric chemical mechanism for aerosols and gas-phase
species follows the work of Horowitz et al. (2003, 2007) with updates to photolysis,
radical uptake by aerosols and convective wet scavenging of aerosols. The
Fast-JX module (Bian et
al., 2003; Wild et al., 2000) calculates the impact of online aerosols and
clouds on photolysis rates and actinic fluxes implemented into GFDL-AM3
according to Mao et al. (2013b).
Heterogeneous uptake of radical species is simulated according to Mao et al. (2013b) and Mao et al. (2013a) using a first order
reactive uptake rate constant <inline-formula><mml:math id="M57" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> (Eq. 1):
          <disp-formula id="Ch1.E1" content-type="numbered"><label>1</label><mml:math id="M58" display="block"><mml:mrow><mml:mi>k</mml:mi><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:msup><mml:mfenced open="(" close=")"><mml:mrow><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi>r</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">g</mml:mi></mml:msub></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>+</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mi mathvariant="italic">γ</mml:mi><mml:mi mathvariant="italic">ν</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mrow></mml:mfenced><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mi>A</mml:mi><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
        where <inline-formula><mml:math id="M59" display="inline"><mml:mrow><mml:msub><mml:mi>r</mml:mi><mml:mi mathvariant="normal">e</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the aerosol effective radius (m), <inline-formula><mml:math id="M60" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">g</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the gas-phase
molecular diffusion coefficient, <inline-formula><mml:math id="M61" display="inline"><mml:mi mathvariant="italic">ν</mml:mi></mml:math></inline-formula> is the mean molecular speed of the
gas, and <inline-formula><mml:math id="M62" display="inline"><mml:mi>A</mml:mi></mml:math></inline-formula> is the aerosol surface area per unit volume of air. Here we set
the heterogeneous reactive uptake coefficient (<inline-formula><mml:math id="M63" display="inline"><mml:mi mathvariant="italic">γ</mml:mi></mml:math></inline-formula>) of HO<inline-formula><mml:math id="M64" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> to 0.2
instead of the value of 1.0 in Mao et al. (2013a). Though estimates of <inline-formula><mml:math id="M65" display="inline"><mml:mi mathvariant="italic">γ</mml:mi></mml:math></inline-formula> are uncertain, recent
literature suggests such high values of 1.0 are not supported by
observations and that the parameter is likely closer to 0.2 (Abbatt
et al., 2012; Li et al., 2019a, b; Taketani et al., 2012). Taketani et al. (2012) recommend a
middle <inline-formula><mml:math id="M66" display="inline"><mml:mi mathvariant="italic">γ</mml:mi></mml:math></inline-formula> value of 0.24 based on measurements at two high-altitude
sites in China. Reactive uptake coefficients for all other reactions
including N<inline-formula><mml:math id="M67" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O<inline-formula><mml:math id="M68" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">5</mml:mn></mml:msub></mml:math></inline-formula>, NO<inline-formula><mml:math id="M69" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, and NO<inline-formula><mml:math id="M70" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> are shown in Table 1, taken
from Jacob
(2000). We allow uptake of HO<inline-formula><mml:math id="M71" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, N<inline-formula><mml:math id="M72" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O<inline-formula><mml:math id="M73" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">5</mml:mn></mml:msub></mml:math></inline-formula>, NO<inline-formula><mml:math id="M74" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, and NO<inline-formula><mml:math id="M75" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
onto all aerosol types, including sulfate, black carbon, organic carbon, sea
salt, and dust using the same coefficients for each composition. We also
include updates to convective wet scavenging of aerosols in the form of
finer vertical discretization of convective updraft plumes, resulting in
improvements in aerosol budgets (Paulot et al.,
2016).<?pagebreak page6803?> Horizontal wind velocities are nudged using a pressure-dependent
technique towards reanalysis values from the National Centers for
Environmental Prediction Global Forecast System (NCEP GFS; Lin et al., 2012). Further model description and
model evaluation against observations can be found in Donner et al. (2011), Naik et al. (2013a), and Rasmussen
et al. (2012).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><?xmltex \currentcnt{3}?><?xmltex \def\figurename{Figure}?><label>Figure 3</label><caption><p id="d1e1041">Boreal springtime (MAM) mean percent change in NO<inline-formula><mml:math id="M76" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> between a
control simulation and a perturbation simulation in which anthropogenic
SO<inline-formula><mml:math id="M77" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions are removed over a certain region: <bold>(a)</bold> US, <bold>(b)</bold> Europe,
and <bold>(c)</bold> China. Hatching denotes statistical significance according to a
Student's <inline-formula><mml:math id="M78" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test at the 95 % confidence level.</p></caption>
        <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/6799/2021/acp-21-6799-2021-f03.png"/>

      </fig>

      <p id="d1e1085">We conduct a two-year (2014–2015) nudged control simulation in which
emissions of aerosols and their precursors follow RCP8.5 and contrast it
with three perturbations: one in which all anthropogenic SO<inline-formula><mml:math id="M79" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions
are set to zero over the US (30–50<inline-formula><mml:math id="M80" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 70–125<inline-formula><mml:math id="M81" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W) ,
all anthropogenic SO<inline-formula><mml:math id="M82" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions are set to zero over Europe
(35–70<inline-formula><mml:math id="M83" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 15<inline-formula><mml:math id="M84" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W–55<inline-formula><mml:math id="M85" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E), and all anthropogenic SO<inline-formula><mml:math id="M86" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions are set to
zero over China (15–50<inline-formula><mml:math id="M87" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N,
95–130<inline-formula><mml:math id="M88" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E). SO<inline-formula><mml:math id="M89" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> is oxidized by
the hydroxyl radical in the gas phase and by ozone and hydrogen peroxide in
clouds to form sulfate aerosol, which is a dominant component of total
aerosol in GFDL-AM3 (Westervelt
et al., 2015, 2017). We separately subtract each regional SO<inline-formula><mml:math id="M90" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
perturbation simulation from the control simulation, thereby isolating the
impact of regional SO<inline-formula><mml:math id="M91" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions (and subsequent sulfate formation) on
tropospheric oxidants and related species. We test for statistical
significance using a Student's <inline-formula><mml:math id="M92" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test on seasonal mean responses with the
null hypothesis being that the difference between the control and the
perturbation simulation is zero. Only the full year of 2015 is used for
analysis to allow for a full year of initialization. SO<inline-formula><mml:math id="M93" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> perturbations
from our simulations are 10.8, 12.4, and 16.2 Tg SO<inline-formula><mml:math id="M94" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> y<inline-formula><mml:math id="M95" 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> for US,
Europe, and China, respectively.</p>
      <p id="d1e1245">The global annual mean OH for the 2015 control simulation is <inline-formula><mml:math id="M96" display="inline"><mml:mrow><mml:mn mathvariant="normal">7.0</mml:mn><mml:mo>×</mml:mo><mml:msup><mml:mn mathvariant="normal">10</mml:mn><mml:mn mathvariant="normal">5</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula> molecules cm<inline-formula><mml:math id="M97" 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>, which is within the range of the 14 Atmospheric
Chemistry and Climate Model Intercomparison Project (ACCMIP) for year 2000
and 14 Chemistry Climate Model Initiative (CCMI) models (Voulgarakis
et al., 2013; Zhao et al., 2019) for years 2000–2010. The global annual
tropospheric burden of O<inline-formula><mml:math id="M98" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> in the 2015 control simulation is 356 Tg,
which compares well to the year 2000 O<inline-formula><mml:math id="M99" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> burden mean across the ACCMIP
models of <inline-formula><mml:math id="M100" display="inline"><mml:mrow><mml:mn mathvariant="normal">337</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">23</mml:mn></mml:mrow></mml:math></inline-formula> Tg (Young
et al., 2013).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><?xmltex \currentcnt{4}?><?xmltex \def\figurename{Figure}?><label>Figure 4</label><caption><p id="d1e1307">Boreal springtime (MAM) mean percent change in O<inline-formula><mml:math id="M101" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> between a
control simulation and a perturbation simulation in which anthropogenic
SO<inline-formula><mml:math id="M102" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions are removed over a certain region: <bold>(a)</bold> US, <bold>(b)</bold> Europe,
and <bold>(c)</bold> China. Hatching denotes statistical significance according to a
Student's <inline-formula><mml:math id="M103" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test at the 95 % confidence level.</p></caption>
        <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/6799/2021/acp-21-6799-2021-f04.png"/>

      </fig>

</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Results</title>
      <p id="d1e1359">Figure 1 shows the percent increase in seasonal (March–April–May, MAM)
sulfate concentrations at the surface (right column) and at altitude (left
column) due to the presence of all anthropogenic US SO<inline-formula><mml:math id="M104" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (first row),
all European SO<inline-formula><mml:math id="M105" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (second row), and all Chinese SO<inline-formula><mml:math id="M106" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (third row)
based on year 2015 anthropogenic emissions. Additional seasons are shown in
the Supplement (Figs. S1–S3). The zeroing of 2015 SO<inline-formula><mml:math id="M107" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions in each
location results in the largest relative perturbation in China, where
emissions are highest, followed by Europe and the US. Sulfate increases are
largest closest to the source region, but all three regional simulations
show statistically significant remote impacts both horizontally and
vertically in the atmosphere, as evidenced by the spatial and zonal plots in
Fig. 1. Emissions from US, Europe, and China perturbations all significantly
increase sulfate throughout the troposphere up to 200 hPa and higher towards
the North Pole, with the largest increases of up to 30 %–40 % resulting from
the China SO<inline-formula><mml:math id="M108" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> perturbation. Transport to the Arctic is a common feature
in all three perturbations and is consistent with previous studies on
aerosol transport to the Arctic (Shindell
et al., 2008; Stohl, 2006, Yang et al., 2017, 2018; Ren et al.,
2020). The US perturbation impacts sulfate concentrations significantly at
the surface and at altitude over the North Atlantic Ocean, while emissions
from China exert a heavy influence over the Pacific reaching all of the way
to the western US. European SO<inline-formula><mml:math id="M109" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions have widespread influence on
the Northern Hemisphere, but especially in the Arctic, the Mediterranean,
and northern Africa. In all cases, sulfate changes are nearly entirely
confined to the Northern Hemisphere.</p>
      <p id="d1e1417">We analyze the impact of sulfate changes on atmospheric oxidation capacity,
starting in Fig. 2 with OH (left column) and HO<inline-formula><mml:math id="M110" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> (right column) for
each of the three regional perturbations (rows of Fig. 2). Sulfate aerosol
surfaces directly uptake HO<inline-formula><mml:math id="M111" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> radicals as described in Sect. 2,
resulting in significant decreases of HO<inline-formula><mml:math id="M112" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and OH (via their rapid
cycling). For each perturbation, decreases in both OH and HO<inline-formula><mml:math id="M113" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> occur
throughout most of the Northern Hemisphere up to about 200 hPa vertically
during the boreal spring (MAM). The largest decreases in OH and HO<inline-formula><mml:math id="M114" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
occur in spring for each of the perturbations, followed by winter
(December–January–February, DJF), autumn (September–October–November, SON),
and summer (June–July–August, JJA). These additional seasons are plotted in
Figs. S4–S6 in the Supplement. In MAM, SO<inline-formula><mml:math id="M115" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions over the US decrease OH and HO<inline-formula><mml:math id="M116" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
by about 5 % within the US planetary boundary layer. In the
mid-troposphere (400–600 hPa), OH decreases are 5 % or greater and are
located spatially above the Arctic. For the Europe SO<inline-formula><mml:math id="M117" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and China
SO<inline-formula><mml:math id="M118" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> cases during MAM, the Arctic middle troposphere OH decreases are
larger in percent change (<inline-formula><mml:math id="M119" display="inline"><mml:mrow><mml:mi mathvariant="italic">&gt;</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> %) than the local changes near
the surface (<inline-formula><mml:math id="M120" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula> %). The presence of 2015 China SO<inline-formula><mml:math id="M121" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
emissions also decreases OH and HO<inline-formula><mml:math id="M122" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> by about 10 % over the North
Pacific Ocean middle troposphere (about 400–600 hPa) in the model. By
comparing the first row of Fig. 2 with the second and third rows, we find
that the zonal structure of the OH and HO<inline-formula><mml:math id="M123" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> response to anthropogenic
SO<inline-formula><mml:math id="M124" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions is very similar across the three regional
perturbations, while the magnitude is largest in response to China SO<inline-formula><mml:math id="M125" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
emissions, followed by Europe SO<inline-formula><mml:math id="M126" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and US SO<inline-formula><mml:math id="M127" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>. We conclude that
regional SO<inline-formula><mml:math id="M128" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions may have stronger impacts remotely than locally,
and OH may be relatively more sensitive to aerosol changes in the Arctic and
remote oceans at higher altitudes where its production is more limited.</p>
      <?pagebreak page6804?><p id="d1e1596">In Fig. 3 we plot spring (MAM) changes in NO<inline-formula><mml:math id="M129" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> (defined as NO <inline-formula><mml:math id="M130" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>
NO<inline-formula><mml:math id="M131" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>) concentrations in response to anthropogenic SO<inline-formula><mml:math id="M132" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions in
the US, Europe, and China. While HO<inline-formula><mml:math id="M133" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and OH strongly decreased in
response to SO<inline-formula><mml:math id="M134" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions, NO<inline-formula><mml:math id="M135" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> significantly increases throughout
most of the Northern Hemisphere. In the model, aerosols can take up NO<inline-formula><mml:math id="M136" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
directly but with a very low reaction probability (0.0001; Table 1), such
that little uptake actually occurs and is easily offset by feedbacks onto
other chemical reactions involving NO<inline-formula><mml:math id="M137" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>. Instead, reduction in the sinks
of NO<inline-formula><mml:math id="M138" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> via OH (nitric acid formation) during the day and uptake of
NO<inline-formula><mml:math id="M139" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> at night dominates the response to SO<inline-formula><mml:math id="M140" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emission changes,
increasing NO<inline-formula><mml:math id="M141" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> in the model as OH decreases. At night, NO<inline-formula><mml:math id="M142" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> is
removed by reaction with the nitrate radical (NO<inline-formula><mml:math id="M143" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>), which forms
dinitrogen pentoxide (N<inline-formula><mml:math id="M144" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O<inline-formula><mml:math id="M145" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">5</mml:mn></mml:msub></mml:math></inline-formula>) (Chang
et al., 2011; Jacob, 2000). Sulfate aerosols are effective at removing
NO<inline-formula><mml:math id="M146" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> via reactive uptake (reaction probability of 0.1), slowing down
this nighttime NO<inline-formula><mml:math id="M147" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> sink and thus increasing NO<inline-formula><mml:math id="M148" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> abundance. This
hindering of day and night NO<inline-formula><mml:math id="M149" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> sinks is most effective during MAM and
DJF in the Northern Hemisphere mid-troposphere (Fig. 3a–c for MAM;
additional seasons shown in Figs. S7–S9 in the Supplement). Mid-tropospheric Northern
Hemisphere NO<inline-formula><mml:math id="M150" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> increases reach about 7 %–8 % in response to Chinese
SO<inline-formula><mml:math id="M151" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions specifically, with smaller effects for both US and Europe
SO<inline-formula><mml:math id="M152" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> perturbations. NO<inline-formula><mml:math id="M153" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> at the surface increases slightly less at
about 5 %–7 % depending on the regional emissions perturbation, though these
changes are still statistically significant. N<inline-formula><mml:math id="M154" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O<inline-formula><mml:math id="M155" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">5</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/></mml:mrow></mml:msub></mml:math></inline-formula> is removed by
aerosols also with a reaction probability of 0.1, although several previous
studies have used smaller reactive uptake coefficients for N<inline-formula><mml:math id="M156" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O<inline-formula><mml:math id="M157" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">5</mml:mn></mml:msub></mml:math></inline-formula> (Evans
and Jacob, 2005; Holmes et al., 2019; Macintyre and Evans, 2010; McDuffie et
al., 2019) based on more recent laboratory experiments, but only find
impacts on mean tropospheric O<inline-formula><mml:math id="M158" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> burden of 2 %–4 %. Using a box
modeling approach, McDuffie et al. (2019) find a median <inline-formula><mml:math id="M159" display="inline"><mml:mi mathvariant="italic">γ</mml:mi></mml:math></inline-formula> for
N<inline-formula><mml:math id="M160" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O<inline-formula><mml:math id="M161" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">5</mml:mn></mml:msub></mml:math></inline-formula> of 0.076, reasonably close to our assumed value of 0.1.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><?xmltex \currentcnt{5}?><?xmltex \def\figurename{Figure}?><label>Figure 5</label><caption><p id="d1e1902">Summertime (JJA) surface O<inline-formula><mml:math id="M162" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> change (in ppbv) between a control
simulation and a perturbation simulation in which anthropogenic SO<inline-formula><mml:math id="M163" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
emissions are removed over a certain region: <bold>(a)</bold> US, <bold>(b)</bold> Europe, and <bold>(c)</bold>
China. Hatching denotes statistical significance according to a Student's
<inline-formula><mml:math id="M164" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test at the 95 % confidence level.</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/6799/2021/acp-21-6799-2021-f05.png"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><?xmltex \currentcnt{6}?><?xmltex \def\figurename{Figure}?><label>Figure 6</label><caption><p id="d1e1948">Boreal springtime (MAM) mean percent change in photolysis rates
(<inline-formula><mml:math id="M165" display="inline"><mml:mrow><mml:msub><mml:mi>j</mml:mi><mml:mrow><mml:mi mathvariant="normal">O</mml:mi><mml:msup><mml:mo>(</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:msup><mml:mi mathvariant="normal">D</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula>, left column; <inline-formula><mml:math id="M166" display="inline"><mml:mrow><mml:msub><mml:mi>j</mml:mi><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula>, right column) between a control
simulation and a perturbation simulation in which anthropogenic SO<inline-formula><mml:math id="M167" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
emissions are removed over a certain region: <bold>(a, b)</bold> US, <bold>(c ,d)</bold> Europe, and
<bold>(e, f)</bold> China. Hatching denotes statistical significance according to a
Student's <inline-formula><mml:math id="M168" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test at the 95 % confidence level.</p></caption>
        <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/6799/2021/acp-21-6799-2021-f06.png"/>

      </fig>

      <?pagebreak page6805?><p id="d1e2019">In most of the Northern Hemisphere troposphere, O<inline-formula><mml:math id="M169" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> decreases in MAM by
up to 4 % in response to US, European, or Chinese SO<inline-formula><mml:math id="M170" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions
increases in the model (Fig. 4), mostly coinciding with regions of large
HO<inline-formula><mml:math id="M171" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> decreases (Fig. 2), despite the increase in NO<inline-formula><mml:math id="M172" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> (Fig. 3).
O<inline-formula><mml:math id="M173" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> decreases are the largest in response to Chinese anthropogenic
SO<inline-formula><mml:math id="M174" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions, owing to the larger SO<inline-formula><mml:math id="M175" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> perturbation compared to
the US and Europe emissions perturbations. The O<inline-formula><mml:math id="M176" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> increases in the
upper troposphere are mostly not significant. We examine model diagnostics
of gross ozone production (the sum of HO<inline-formula><mml:math id="M177" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>+</mml:mo></mml:mrow></mml:math></inline-formula>NO and all RO<inline-formula><mml:math id="M178" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>+</mml:mo></mml:mrow></mml:math></inline-formula>NO
reaction pathways) and O<inline-formula><mml:math id="M179" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> loss (which includes reaction of O<inline-formula><mml:math id="M180" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> with
HO<inline-formula><mml:math id="M181" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> and with alkenes, plus O<inline-formula><mml:math id="M182" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> photolysis followed by
O<inline-formula><mml:math id="M183" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msup></mml:math></inline-formula>D<inline-formula><mml:math id="M184" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>H<inline-formula><mml:math id="M185" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>O) to interpret further the O<inline-formula><mml:math id="M186" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> decrease. While both
O<inline-formula><mml:math id="M187" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> production (P<inline-formula><mml:math id="M188" display="inline"><mml:msub><mml:mi/><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:msub></mml:math></inline-formula>) and loss (L<inline-formula><mml:math id="M189" display="inline"><mml:msub><mml:mi/><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:msub></mml:math></inline-formula>) rates decline (Figs. S10
and S11 in the Supplement), production decreases more strongly than loss, lowering
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. We confirm that transport of O<inline-formula><mml:math id="M191" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> from other
latitudes is unlikely to contribute much to the modeled O<inline-formula><mml:math id="M192" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> response as
the change in zonal mean advective or convective tendency in O<inline-formula><mml:math id="M193" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> (Fig. S12 in the Supplement) is far smaller than the chemical production and loss terms (Fig. S10 in the Supplement).
The O<inline-formula><mml:math id="M194" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> production and loss rates decrease most strongly in the lower
troposphere over the source regions (Figs. S10 and S11 in the Supplement) while the
O<inline-formula><mml:math id="M195" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> decreases (Fig. 4) propagate more widely through the free
troposphere, indicating reduced export from these source regions. Additional
seasons for O<inline-formula><mml:math id="M196" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> change are shown in Figs. S13–S15 in the Supplement.</p>
      <?pagebreak page6806?><p id="d1e2290">We find here that the decline in HO<inline-formula><mml:math id="M197" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> and its impact on P<inline-formula><mml:math id="M198" display="inline"><mml:msub><mml:mi/><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:mrow></mml:msub></mml:math></inline-formula>
outweighs the aerosol-induced increases in NO<inline-formula><mml:math id="M199" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> and decreases in
O<inline-formula><mml:math id="M200" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>–HO<inline-formula><mml:math id="M201" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> sinks, even during summer in all three source regions. We
show the response of summertime surface 8 h maximum daily average (MDA)
O<inline-formula><mml:math id="M202" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> to increasing anthropogenic SO<inline-formula><mml:math id="M203" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions in the US, Europe,
and China in Fig. 5. Increasing sulfate aerosol increases the sink of
HO<inline-formula><mml:math id="M204" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> radicals and thus slows down 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> production (Fig. S11 in the Supplement),
resulting in surface 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> concentration decreases, which are largest and
mostly confined to the emissions source region. Sulfate aerosol can also
reduce NO<inline-formula><mml:math id="M207" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and O<inline-formula><mml:math id="M208" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> photolysis rates. The combined effect of sulfate
aerosol on changes in photolysis rates and heterogeneous chemistry is a
statistically significant decrease of about 5 ppbv over most of eastern
China, Korea, and Japan when Chinese SO<inline-formula><mml:math id="M209" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions are introduced, a
decrease of about 3 ppbv over the eastern US for US SO<inline-formula><mml:math id="M210" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions, and
a decrease of about 3 ppbv over Eurasia for the Europe SO<inline-formula><mml:math id="M211" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions
perturbation. Changes in similar magnitude have been reported over China
using both a chemistry transport model and observations (Li
et al., 2019). Large sulfate decreases have occurred since the 1970s in both
Europe and the US. The SO<inline-formula><mml:math id="M212" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> perturbation in our study (zero-out 2015
level emissions) is 10.8, 12.4, and 16.2 Tg SO<inline-formula><mml:math id="M213" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> y<inline-formula><mml:math id="M214" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in the US,
Europe, and China, respectively. These results imply that the sulfate
decreases from clean air regulations and technologies have had the
unintended consequence of driving 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> up by a few ppb during the
summertime in the US and Europe. While this may be a small amount of the
total surface 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 and not entirely outside the range of
typical variability, our study only considers the impact of sulfate aerosol
and not carbonaceous aerosols, which make up greater than 50 % of the
total aerosol mass in many environments (Jiminez et al., 2009).
Additionally, even 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> changes on the order of 3–5 ppbv may be important
for holistically meeting tightening air quality standards. NO<inline-formula><mml:math id="M218" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>
emissions have also decreased dramatically over roughly the same time period
and have likely more than offset any 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> increase from decreasing
sulfate. However, the full potential of possible 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> improvement via
NO<inline-formula><mml:math id="M221" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> and anthropogenic volatile organic carbon (VOC) decreases may have
been partially masked by sulfate decreases. These findings highlight the
importance of a multipollutant strategy for effective clean air regulation.</p>
      <p id="d1e2529">Finally, in Fig. 6 we plot the relative change in MAM O3<inline-formula><mml:math id="M222" display="inline"><mml:mo>→</mml:mo></mml:math></inline-formula>O(<inline-formula><mml:math id="M223" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msup></mml:math></inline-formula>D) and
NO<inline-formula><mml:math id="M224" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> photolysis rates, denoted <inline-formula><mml:math id="M225" display="inline"><mml:mrow><mml:msub><mml:mi>j</mml:mi><mml:mrow class="chem"><mml:mi mathvariant="normal">O</mml:mi><mml:msup><mml:mo>(</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:msup><mml:mi mathvariant="normal">D</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M226" display="inline"><mml:mrow><mml:msub><mml:mi>j</mml:mi><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> in response to
SO<inline-formula><mml:math id="M227" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions in each region. Photolysis of both species is slightly
influenced by changing SO<inline-formula><mml:math id="M228" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions, especially over China in response
to China's SO<inline-formula><mml:math id="M229" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions, where decreases in both photolysis rates are
about 7 %. For each of the perturbations, especially the US and Europe
cases, changes in photolysis rates rarely rise above the noise, which is
likely caused by meteorological factors such as slight changes in cloud
cover. We conclude that while radiative effects via photolysis are
non-negligible, they are significantly less important than chemical effects
for aerosol impacts on oxidation, consistent with previous findings (Li et
al., 2019).</p>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <label>4</label><title>Summary and conclusions</title>
      <p id="d1e2630">Using the updated GFDL-AM3 nudged chemistry–climate model with online
aerosol heterogeneous chemistry and interactions with radiation, we estimate
the impact of Northern Hemisphere mid-latitude regional anthropogenic
SO<inline-formula><mml:math id="M230" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions on tropospheric OH, HO<inline-formula><mml:math id="M231" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, O<inline-formula><mml:math id="M232" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, and NO<inline-formula><mml:math id="M233" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>.
Regional SO<inline-formula><mml:math id="M234" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions perturbations lead to significant changes to
sulfate aerosol in far-reaching regions of the world, particularly in the
Arctic and the mid- and upper troposphere. OH and HO<inline-formula><mml:math id="M235" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> decrease
throughout the northern hemisphere mid-troposphere by up to 10 %, which in
turn increase NO<inline-formula><mml:math id="M236" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> concentrations by at least 5 %. NO<inline-formula><mml:math id="M237" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> is not
efficiently removed by heterogeneous reactions on aerosols, while species
that contribute to NO<inline-formula><mml:math id="M238" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> sinks such as OH (via HO<inline-formula><mml:math id="M239" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> uptake) and
NO<inline-formula><mml:math id="M240" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> are efficiently removed, slowing down the NO<inline-formula><mml:math id="M241" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> sink and
increasing NO<inline-formula><mml:math id="M242" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> concentrations. However, any influence of NO<inline-formula><mml:math id="M243" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>
increases on tropospheric 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> are overwhelmed by HO<inline-formula><mml:math id="M245" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> decreases, and
the resulting decrease in 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> production offsets decreases in 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>
sinks, resulting in up to 4 % decrease in 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> in the free troposphere
and at the surface. Aerosols impact oxidation primarily through
heterogeneous reactive uptake pathways over photolysis pathways.</p>
      <p id="d1e2807">Surface ozone decreases by 3 to 5 ppbv in response to the introduction of
regional SO<inline-formula><mml:math id="M249" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions. If SO<inline-formula><mml:math id="M250" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions decline in developing
regions of the world such as South Asia and sub-Saharan Africa, a goal
attained through air quality improvements to protect human health, there
could be an unintended increase in surface 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> concentrations.
Decreasing 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> in these regions will require a multipollutant
approach in which NO<inline-formula><mml:math id="M253" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> and VOCs are simultaneously decreased with
aerosols in order to offset the effect of decrease in aerosols and their
precursors. While SO<inline-formula><mml:math id="M254" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and NO<inline-formula><mml:math id="M255" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> emissions decreases coincided to
some extent in the US, end-of-pipe technologies at power plants allow for
control of SO<inline-formula><mml:math id="M256" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and NO<inline-formula><mml:math id="M257" display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> individually, and other sources of fine
particulate matter (PM<inline-formula><mml:math id="M258" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula>) such as waste burning and vehicle emissions
will have a similar effect on ozone as sulfate aerosols. PM<inline-formula><mml:math id="M259" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:math></inline-formula> and
SO<inline-formula><mml:math id="M260" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> have decreased dramatically in recent years in the US and Europe,
such that 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> improvements may have been partially masked by the aerosol
impact. SO<inline-formula><mml:math id="M262" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> perturbations from our simulations are 10.8, 12.4, and 16.2 Tg yr<inline-formula><mml:math id="M263" 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> for US,<?pagebreak page6807?> Europe, and China, respectively, which result in a 3 ppbv surface ozone response over the US and Europe, and a 5 ppbv surface
ozone response over China, where SO<inline-formula><mml:math id="M264" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions are the largest in 2015.
Model overprediction of surface O<inline-formula><mml:math id="M265" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> over urban areas in China
(Westervelt et al., 2019) likely make this 5 ppbv change an upper estimate
of the 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> response to China SO<inline-formula><mml:math id="M267" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emissions.</p>
      <p id="d1e2987">Future work is needed to improve estimates of reactive uptake of HO<inline-formula><mml:math id="M268" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
and other radical species by aerosols, as great uncertainty still exists
surrounding this parameter as well as the dependence of aerosol composition
on reactive uptake parameters (George et al.,
2013). We focus here on anthropogenic aerosols as they are changing rapidly
and expected to continue to change. Previous work finds a large influence of
Saharan dust aerosols on oxidation (Tie et al., 2005). Regions
of biomass burning such as Africa and South America are also potential
contributors to aerosol-driven oxidation changes. In order to avoid
trading one problem for another in areas of the world that are
experiencing both rapid emissions changes and high exposures to air
pollutants, we must better understand the impact of aerosols on atmospheric
photochemistry.</p>
</sec>

      
      </body>
    <back><notes notes-type="codeavailability"><title>Code availability</title>

      <p id="d1e3003">The code for GFDL-AM3 is available here: <uri>https://www.gfdl.noaa.gov/am3/</uri> (Geophysical Fluid Dynamics Lab, 2021).</p>
  </notes><notes notes-type="dataavailability"><title>Data availability</title>

      <?pagebreak page6808?><p id="d1e3012">Data are available here: <uri>https://figshare.com/articles/dataset/Concentration_data_for_aerosol_impact_on_oxidants/13331066</uri> (Westervelt,
2020).</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e3018">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/acp-21-6799-2021-supplement" xlink:title="pdf">https://doi.org/10.5194/acp-21-6799-2021-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e3027">DMW wrote the manuscript, created all figures, and conducted all
simulations. AMF and DMW originally conceived the project. CBB assisted with
model setup and output analysis. GC developed the model for use at LDEO.
All authors contributed to editing the manuscript.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e3033">The authors declare that they have no conflict of interest.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e3039">We thank Bryan Duncan and Melanie Follette-Cook of NASA GSFC for their helpful
conversations.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e3044">This research has been supported by the National Aeronautics and Space Administration, Earth Sciences Division (grant no. NNX17AG40G).</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e3050">This paper was edited by Qiang Zhang and reviewed by two anonymous referees.</p>
  </notes><ref-list>
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    <!--<article-title-html>Impact of regional Northern Hemisphere mid-latitude anthropogenic sulfur dioxide emissions on local and remote tropospheric oxidants</article-title-html>
<abstract-html><p>The unintended consequences of reductions in regional
anthropogenic sulfur dioxide (SO<sub>2</sub>) emissions implemented to protect
human health are poorly understood. SO<sub>2</sub> decreases began in the 1970s in
the US and Europe and are expected to continue into the future, while recent
emissions decreases in China are also projected to continue. In addition to
the well-documented climate effects (warming) from reducing aerosols,
tropospheric oxidation is impacted via aerosol modification of photolysis
rates and radical sinks. Impacts on the hydroxyl radical and other trace
constituents directly affect climate and air quality metrics such as surface
ozone levels. We use the Geophysical Fluid Dynamics Laboratory Atmospheric
Model version 3 nudged towards National Centers for Environmental Prediction
(NCEP) reanalysis wind velocities to estimate the impact of SO<sub>2</sub>
emissions from the US, Europe, and China by differencing a
control simulation with an otherwise identical simulation in which 2015
anthropogenic SO<sub>2</sub> emissions are set to zero over one of the regions.
Springtime sulfate aerosol changes occur both locally to the emission region
and also throughout the Northern Hemispheric troposphere, including remote
oceanic regions and the Arctic. Hydroperoxy (HO<sub>2</sub>) radicals are directly
removed via heterogeneous chemistry on aerosol surfaces, including sulfate,
in the model, and we find that sulfate aerosol produced by SO<sub>2</sub>
emissions from the three individual northern mid-latitude regions strongly
reduces both HO<sub>2</sub> and hydroxyl (OH) by up to 10&thinsp;% year-round
throughout most of the troposphere north of 30°&thinsp;N latitude.
Regional SO<sub>2</sub> emissions significantly increase nitrogen oxides
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Northern Hemisphere by increasing the NO<sub><i>x</i></sub> lifetime as the heterogeneous
sink of HO<sub>2</sub> on sulfate aerosol declines. Despite the NO<sub><i>x</i></sub>
increases, tropospheric ozone decreases at northern mid-latitudes by 1&thinsp;%–4&thinsp;%
zonally averaged and by up to 5&thinsp;ppbv in summertime surface air over China,
where the decreases in HO<sub>2</sub> and OH suppress O<sub>3</sub> production. Since
2015 anthropogenic SO<sub>2</sub> emissions in China exceed those in the US or
Europe, the oxidative response is greatest for the China perturbation
simulation. Chemical effects of aerosols on oxidation (reactive uptake)
dominate over radiative effects (photolysis rates), the latter of which are
only statistically significant locally for the large perturbation over
China. We find that the SO<sub>2</sub> emissions decrease in China, which has yet
to be fully realized, will have the largest impact on oxidants and related
species in the Northern Hemisphere free troposphere compared to future
decreases in Europe or the US. Our results bolster previous calls for a
multipollutant strategy for air pollution mitigation to avoid the
unintended consequence of aerosol removal leading to surface ozone increases
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