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  <front>
    <journal-meta>
<journal-id journal-id-type="publisher">ACP</journal-id>
<journal-title-group>
<journal-title>Atmospheric Chemistry and Physics</journal-title>
<abbrev-journal-title abbrev-type="publisher">ACP</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Atmos. Chem. Phys.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1680-7324</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>

    <article-meta>
      <article-id pub-id-type="doi">10.5194/acp-17-11075-2017</article-id><title-group><article-title>Disentangling fast and slow responses of the East Asian summer monsoon to
reflecting and absorbing aerosol forcings</article-title>
      </title-group><?xmltex \runningtitle{Disentangling fast and slow responses of the East Asian summer monsoon}?><?xmltex \runningauthor{Z.~Wang et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Wang</surname><given-names>Zhili</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-4392-3230</ext-link></contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff2">
          <name><surname>Lin</surname><given-names>Lei</given-names></name>
          <email>linlei3@mail.sysu.edu.cn</email>
        <ext-link>https://orcid.org/0000-0002-7946-4363</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Yang</surname><given-names>Meilin</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Xu</surname><given-names>Yangyang</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-7173-7761</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Li</surname><given-names>Jiangnan</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>State Key Laboratory of Severe Weather and Key Laboratory of
Atmospheric Chemistry of CMA, <?xmltex \hack{\newline}?> Chinese Academy of Meteorological Sciences,
Beijing, 100081, China</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>School of Atmospheric Sciences and Guangdong Province Key Laboratory
for Climate Change and Natural Disaster Studies, Sun Yat-sen University,
Zhuhai, 519000, China</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Institute of Urban Meteorology, China Meteorological Administration,
Beijing, 100089, China</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Department of Atmospheric Sciences, Texas A&amp;M University, College
Station, Texas 77843, USA</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>Canadian Centre for Climate Modelling and Analysis, Science and
Technology Branch, Environment Canada, Victoria, V8P5C2, Canada</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Lei Lin (linlei3@mail.sysu.edu.cn)</corresp></author-notes><pub-date><day>19</day><month>September</month><year>2017</year></pub-date>
      
      <volume>17</volume>
      <issue>18</issue>
      <fpage>11075</fpage><lpage>11088</lpage>
      <history>
        <date date-type="received"><day>16</day><month>May</month><year>2017</year></date>
           <date date-type="rev-request"><day>2</day><month>June</month><year>2017</year></date>
           <date date-type="rev-recd"><day>31</day><month>July</month><year>2017</year></date>
           <date date-type="accepted"><day>24</day><month>August</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>We examine the roles of fast and slow responses in shaping the total
equilibrium response of the East Asian summer monsoon (EASM) to reflecting
(sulfate, SO<inline-formula><mml:math id="M1" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and absorbing (black carbon, BC) aerosol forcings over
the industrial era using the Community Earth System Model version 1 (CESM1).
Our results show that there is a clear distinction between fast and slow
responses of the EASM to aerosol forcings and the slow climate response due
to aerosol-induced change in sea surface temperature (SST) plays an important
role in the impacts of aerosols on the EASM. The EASM is weakened by a
decrease in land–sea surface thermal contrast in the fast response (FR)
component to SO<inline-formula><mml:math id="M2" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> forcing, whereas the weakening is more intensive due to
the changes in tropospheric thermodynamic and dynamic structures in the slow
response (SR) component to SO<inline-formula><mml:math id="M3" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>. The total climate adjustment caused by
SO<inline-formula><mml:math id="M4" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> is a significant weakening of the EASM and a decrease in
precipitation. The BC-induced fast adjustment strengthens the EASM both by
increasing the local land–sea surface thermal contrast and shifting the East Asian subtropical jet (EASJ)
northwards. The BC-induced slow climate adjustment, however, weakens the EASM
through altering the atmospheric temperature and circulation. Consequently,
the EASM is slightly enhanced, especially north of 30<inline-formula><mml:math id="M5" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, in the
total response (TR) to BC. The spatial patterns of precipitation change over
East Asia due to BC are similar in the total response and slow response. This
study highlights the importance of ocean response to aerosol forcings in
driving the changes of the EASM.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>The East Asian summer monsoon (EASM) is one of the most complex and
influential monsoon systems over the globe (Ding and Chan, 2005). The
activities of about 20 % of world's population would be affected by
rainfall change due to the variation of the EASM (Lei et al., 2011). Further
understanding of the features of the EASM change has important implications
for social economics, agriculture, ecosystem, and water resource management
(Hong and Kim, 2011; Auffhammer et al., 2012).</p>
      <p>The long-term variation of the EASM is possibly attributed to the influence
of various factors, including natural factors (e.g., internal climate
variability, volcanic eruptions, and solar variability) and anthropogenic
factors (e.g., anthropogenic aerosols and greenhouse gases, GHGs) (Wang et
al., 2001, 2015; Li et al., 2010, 2016; Salzmann et al., 2014). Among them, aerosol forcing has been recognized as an
important contributor to the long-term change. The analyses based on the
Coupled Model Intercomparison Project Phase 5 multi-model simulations
indicated that aerosol forcing dominantly contributed to the weakening of
the Asian summer monsoon during the second half of the 20th century
(Salzmann et al., 2014; Song et al., 2014). Other previous studies based on
individual climate models also showed that the increases in anthropogenic
aerosols could decrease the land–sea surface thermal contrast, thereby
leading to a weakening of the EASM (e.g., Liu et al., 2011, 2017; Zhang et al.,
2012; Jiang et al., 2013;  Wang et al., 2017).</p>
      <p>Despite the modeling and observational evidence, there is still debate over
whether the total aerosols enhance or weaken the EASM (Guo et al., 2013; Yan
et al., 2015), which could be related to the complicated nature of aerosol
chemical compositions, an issue we aim to address in this study. Aerosols in
the atmosphere consist of optically reflecting and absorbing components.
Reflecting aerosols (e.g., sulfate, SO<inline-formula><mml:math id="M6" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>; and organic carbon) can cool
the surface by decreasing the amount of sunlight arriving at the top of the
atmosphere (TOA) and surface and cause weak cooling inside the atmosphere due
to a weakened solar absorption (Myhre et al., 2013). However, absorbing
aerosols (e.g., black carbon, BC; dust; and some components of organic
carbon) are able to not only change the radiation budget at the TOA and
surface but also directly heat the atmospheric column (Koch and Del Genio,
2010; Huang et al., 2014). Consequently, BC affects the atmospheric
stability, cloud cover, and convection. Therefore, the impact of aerosols on
climate derived from modeling studies is likely to be substantially different
when various aerosol species are accounted for (Ocko et al., 2014). Using a
Goddard Institute for Space Studies model,
Menon et al. (2002) suggested that the “wetter-south–dryer-north”
phenomenon that has appeared frequently in summer over eastern China during
the past decades may be related to the increase in BC emission. However,
Zhang et al. (2009) showed responses that are opposite to those in Menon et
al. (2002) when considering the integrated effects of carbonaceous aerosols.</p>
      <p>Several studies attempted to contrast the SO<inline-formula><mml:math id="M7" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> and BC responses and
indicated that scattering and absorbing aerosols would have markedly
different effects on regional temperature, atmospheric circulation, and
precipitation over East Asia (e.g., Guo et al., 2013; Jiang et al., 2013;
Persad et al., 2014). However, these studies all only considered the fast
adjustments of atmosphere and land surface to aerosol forcings, without
considering the response of oceans. Climate response to a forcing agent can
be regarded as a synthesis of fast and slow responses (Andrews et al., 2010;
Ganguly et al., 2012). The response to direct effects of aerosols on
radiation, cloud, atmospheric heating rate, and land surface is treated as
the fast response, while the response to change in global surface
temperature, especially sea surface temperature (SST), caused by the aerosol
forcing is identified as the slow response (SR). The latter can have a more
important effect on the climate system (Allen and Sherwood, 2010; Ganguly et
al., 2012; Xu and Xie, 2015; Voigt et al., 2017). A general circulation
model study by Hsieh et al. (2013) showed that aerosols could lead to
different spatial responses of climate over the global scale when using an
interactive ocean model as opposed to fixed SST as the ocean boundary
conditions. Ganguly et al. (2012) also indicated that the slow component
played a more critical role in shaping the total equilibrium response of the
South Asian summer monsoon to aerosol forcing.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><caption><p>Simulation setups.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="4">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Simulation</oasis:entry>  
         <oasis:entry colname="col2">Aerosol emissions</oasis:entry>  
         <oasis:entry colname="col3">Ocean</oasis:entry>  
         <oasis:entry colname="col4">Ensembles</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">PI</oasis:entry>  
         <oasis:entry colname="col2">Year 1850 SO<inline-formula><mml:math id="M8" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and BC</oasis:entry>  
         <oasis:entry colname="col3">Dynamic ocean model</oasis:entry>  
         <oasis:entry colname="col4">1</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">PDSO<inline-formula><mml:math id="M9" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">Year 2000 SO<inline-formula><mml:math id="M10" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and 1850 BC</oasis:entry>  
         <oasis:entry colname="col3">Dynamic ocean model</oasis:entry>  
         <oasis:entry colname="col4">1</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">PDBC</oasis:entry>  
         <oasis:entry colname="col2">Year 1850 SO<inline-formula><mml:math id="M11" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and 2000 BC</oasis:entry>  
         <oasis:entry colname="col3">Dynamic ocean model</oasis:entry>  
         <oasis:entry colname="col4">5</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">PI_FSST</oasis:entry>  
         <oasis:entry colname="col2">Year 1850 SO<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> and BC</oasis:entry>  
         <oasis:entry colname="col3">Fixed SST from PI</oasis:entry>  
         <oasis:entry colname="col4">1</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">PDSO<inline-formula><mml:math id="M13" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>_FSST</oasis:entry>  
         <oasis:entry colname="col2">Year 2000 SO<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 1850 BC</oasis:entry>  
         <oasis:entry colname="col3">Fixed SST from PI</oasis:entry>  
         <oasis:entry colname="col4">1</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">PDBC_FSST</oasis:entry>  
         <oasis:entry colname="col2">Year 1850 SO<inline-formula><mml:math id="M15" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> and 2000 BC</oasis:entry>  
         <oasis:entry colname="col3">Fixed SST from PI</oasis:entry>  
         <oasis:entry colname="col4">1</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p>The East Asian monsoon is considered as a more complex monsoon system. What
role does the feedback of oceans to aerosol forcings play in driving the
changes of the EASM? This study explores the roles of fast and slow
responses in forming the total equilibrium response of the EASM to both
reflecting and absorbing aerosol forcings over the industrial era using a
state-of-the-art Earth system model. We take SO<inline-formula><mml:math id="M16" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> and BC as the
representatives of reflecting and absorbing aerosols separately. To our
knowledge, no previous study has partitioned the fast and slow responses of
the East Asian monsoon to various aerosol species using a fully coupled
climate model.</p>
      <p>The paper is organized as follows. The model and simulations performed are
described in Sect. 2. The total, fast, and slow responses of the EASM to
various aerosol forcings are presented in Sect. 3. Our discussion and
conclusions are summarized in Sect. 4. We primarily focus on the variation
of the EASM over the region 20–40<inline-formula><mml:math id="M17" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 100–140<inline-formula><mml:math id="M18" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E. The summer includes the months of June, July, and August
(JJA).</p>
</sec>
<sec id="Ch1.S2">
  <title>Method</title>
<sec id="Ch1.S2.SS1">
  <title>Global climate model</title>
      <p>We used the Community Earth System Model version 1 (CESM1), a fully coupled
ocean–atmosphere–land–sea-ice model, created by the National Center for
Atmospheric Research of the US (Hurrell et al., 2013). The model is
a version with a finite-volume approximation 1<inline-formula><mml:math id="M19" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> horizontal
resolution (latitude 0.9<inline-formula><mml:math id="M20" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M21" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> longitude 1.25<inline-formula><mml:math id="M22" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> for
the atmosphere and land, and 1<inline-formula><mml:math id="M23" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M24" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 1<inline-formula><mml:math id="M25" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> for the
ocean) and 30-level vertical resolution, with a rigid lid at 4 hPa. CESM1
includes the primary anthropogenic forcing agents, such as GHGs,
tropospheric and stratospheric ozone, sulfate, and black and primary organic
carbon. The three-mode modal aerosol model that contains the Aitken,
accumulation, and coarse modes has been implemented in the model (Liu et
al., 2012). It can provide the number and mass concentrations of internally
mixed aerosols for the three modes. The model also includes the physical
representations of aerosol direct, semi-direct, and indirect effects for
both liquid- and ice-phase clouds (Morrison and Gettelman, 2008; Gettelman et
al., 2010; Ghan et al., 2012).</p>
      <p>Anthropogenic and biomass burning emissions of aerosols and their precursors
are based on Lamarque et al. (2010). However, the BC emission at the present
day is adjusted due to the potential underestimation of BC heating in the
atmosphere in CESM1 (Xu et al., 2013; Xu and Xie, 2015). BC emissions over
East Asia and South Asia are increased by a factor of 2 and 4, respectively.
The emissions are changed in all economic sectors (industrial, energy, etc.)
and all seasons by the same ratio. Such an adjustment significantly improved
the simulated radiative forcing compared to the direct observations.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <title>Simulations</title>
      <p>This study used a series of simulations (Table 1):
<list list-type="bullet"><list-item><p><italic>Fully Coupled CESM1 simulations</italic>. The control case was a 394-year
preindustrial simulation (referred to as PI). Two perturbed simulations,
sulfur dioxide (SO<inline-formula><mml:math id="M26" 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> (a precursor of SO<inline-formula><mml:math id="M27" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and BC emissions, were
increased instantaneously from preindustrial to present-day (PD) levels, but the
GHG concentrations were unchanged (referred to as PDSO<inline-formula><mml:math id="M28" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> and PDBC).
Starting from the end of the 319th year, the perturbed simulations were run
for 75 years, with the last 60 years being analyzed. To increase the
signal-to-noise ratio caused by BC forcing (a smaller forcing), we performed
an ensemble of five perturbed simulations by altering the atmospheric
initial conditions by an air temperature difference at roundoff level
(order of 10<inline-formula><mml:math id="M29" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">14</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M30" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C). The long averaging time (394 years for the PI case, 60 years in the SO<inline-formula><mml:math id="M31" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>-perturbed simulations, and
60 <inline-formula><mml:math id="M32" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 5 years in the BC-perturbed simulations) can restrain the
impact of decadal natural climate variability and obtain a clear effect due
to aerosol forcings.</p></list-item><list-item><p><italic>Atmosphere-only model simulations with fixed SST</italic>. The model
settings were same as those in the coupled simulations, but the SST was always fixed at the
preindustrial level, with only seasonal variability. The SST data are from
the outputs of the PI-coupled simulation. Three simulations were performed –
using the preindustrial aerosol emissions (referred to as PI_FSST), present-day SO<inline-formula><mml:math id="M33" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> emission (referred to as
PDSO<inline-formula><mml:math id="M34" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>_FSST), and present-day BC emission (referred to as
PDBC_FSST), respectively. Each simulation was run for 75 years, with the last 60 years being analyzed. These three atmosphere-only
simulations were also used to calculate the effective radiative forcings
(ERFs) of SO<inline-formula><mml:math id="M35" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> and BC at the present day following Myhre et al. (2013).</p></list-item></list>
Those sets of simulations mentioned above have been adopted to examine the
responses of the tropospheric atmosphere (Xu and Xie, 2015), mountain snow
cover (Xu et al., 2016), and terrestrial aridity (Lin et al., 2016) to
various forcing agents. The total response (TR) of the EASM to SO<inline-formula><mml:math id="M36" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> or
BC forcing was defined as the difference between PDSO<inline-formula><mml:math id="M37" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> or PDBC and PI:

                <disp-formula specific-use="align" content-type="numbered"><mml:math id="M38" display="block"><mml:mtable displaystyle="true"><mml:mlabeledtr id="Ch1.E1"><mml:mtd/><mml:mtd><mml:mstyle displaystyle="true" class="stylechange"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:msub><mml:mi mathvariant="normal">TRSO</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mi mathvariant="normal">PDSO</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub><mml:mo>-</mml:mo><mml:mi mathvariant="normal">PI</mml:mi><mml:mo>,</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr><mml:mlabeledtr id="Ch1.E2"><mml:mtd/><mml:mtd><mml:mstyle displaystyle="true" class="stylechange"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:mi mathvariant="normal">TRBC</mml:mi><mml:mo>=</mml:mo><mml:mi mathvariant="normal">PDBC</mml:mi><mml:mo>-</mml:mo><mml:mi mathvariant="normal">PI</mml:mi><mml:mo>.</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr></mml:mtable></mml:math></disp-formula>

            The fast response (FR) of the EASM to SO<inline-formula><mml:math id="M39" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> or BC forcing was expressed
as the difference between PDSO<inline-formula><mml:math id="M40" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>_FSST or
PDBC_FSST and PI_FSST:

                <disp-formula specific-use="align" content-type="numbered"><mml:math id="M41" display="block"><mml:mtable displaystyle="true"><mml:mlabeledtr id="Ch1.E3"><mml:mtd/><mml:mtd><mml:mstyle displaystyle="true" class="stylechange"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:msub><mml:mi mathvariant="normal">FRSO</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mi mathvariant="normal">PDSO</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msub><mml:mi mathvariant="normal">_</mml:mi><mml:mi mathvariant="normal">FSST</mml:mi><mml:mo>-</mml:mo><mml:mi mathvariant="normal">PI</mml:mi><mml:mi mathvariant="normal">_</mml:mi><mml:mi mathvariant="normal">FSST</mml:mi><mml:mo>,</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr><mml:mlabeledtr id="Ch1.E4"><mml:mtd/><mml:mtd><mml:mstyle displaystyle="true" class="stylechange"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:mi mathvariant="normal">FRBC</mml:mi><mml:mo>=</mml:mo><mml:mi mathvariant="normal">PDBC</mml:mi><mml:mi mathvariant="normal">_</mml:mi><mml:mi mathvariant="normal">FSST</mml:mi><mml:mo>-</mml:mo><mml:mi mathvariant="normal">PI</mml:mi><mml:mi mathvariant="normal">_</mml:mi><mml:mi mathvariant="normal">FSST</mml:mi><mml:mo>.</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr></mml:mtable></mml:math></disp-formula>

            Note that the slow response of the EASM to aerosol forcing, defined as
the climate response to aerosol-induced SST change, was calculated by
subtracting the FR from the TR (Andrews et al., 2010; Ganguly et al., 2012;
Samset et al., 2016) rather than by performing the simulations with
the perturbed SST pattern caused by aerosol forcing:
            <disp-formula id="Ch1.E5" content-type="numbered"><mml:math id="M42" display="block"><mml:mrow><mml:mi mathvariant="normal">SR</mml:mi><mml:mo>=</mml:mo><mml:mi mathvariant="normal">TR</mml:mi><mml:mo>-</mml:mo><mml:mi mathvariant="normal">FR</mml:mi><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula>
          Hsieh et al. (2013) and Xu and Xie (2015) indicated that this approximate
method was a legitimate metric to obtain the slow response of climate to
aerosol forcing.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Results</title>
<sec id="Ch1.S3.SS1">
  <title>Aerosol ERFs and their induced SST responses</title>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><caption><p>Annual mean distributions of changes in aerosol optical
depths at 550 nm from PI to PD induced by <bold>(a)</bold> SO<inline-formula><mml:math id="M43" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> and <bold>(b)</bold> BC. The dots
represent significance at <inline-formula><mml:math id="M44" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 95 % confidence level from the <inline-formula><mml:math id="M45" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test.
</p></caption>
          <?xmltex \igopts{width=441.017717pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/11075/2017/acp-17-11075-2017-f01.jpg"/>

        </fig>

      <p>Figure 1 shows the changes in aerosol optical depths (AODs) at 550 nm from
PI to PD induced by SO<inline-formula><mml:math id="M46" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> and BC. The AOD increases significantly over
most of the globe except for some oceans due to the increase in
anthropogenic aerosol loading. The change in AOD induced by SO<inline-formula><mml:math id="M47" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> is
larger than that induced by BC. The prominent increase in AOD caused by
SO<inline-formula><mml:math id="M48" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> appears over eastern China, the USA, India, and western Europe,
while the AOD decreases over the tropical and subtropical oceans of the
Southern Hemisphere (SH). The change in BC leads to a large increase in AOD
over eastern China and South Asia but a slight reduction over the tropical
Pacific and Indian Ocean of the Northern Hemisphere (NH), northern Atlantic,
and high latitudes of the SH.</p>
      <p>The fifth assessment report of the Intergovernmental Panel on Climate Change
provided a new definition of radiative forcing named ERF,
which is a better indicator of the climate responses (Myhre et al., 2013).
The global distributions of simulated SO<inline-formula><mml:math id="M49" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> and BC ERFs at the TOA are shown in Fig. 2. The ERFs are calculated using the
atmosphere-only model simulations with fixed SST by subtracting the net
radiative flux at the TOA. There are fundamental differences between both
aerosol ERFs. Reflecting SO<inline-formula><mml:math id="M50" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> gives rise to large negative ERFs,
especially in East and Southeast Asia, Central Africa, western Europe, and
the subtropical oceans. However, absorbing BC leads to marked positive ERFs over
East and South Asia and Central Africa, where the BC emission is large. The
simulated global annual mean SO<inline-formula><mml:math id="M51" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> and BC ERFs are <inline-formula><mml:math id="M52" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.98 and
<inline-formula><mml:math id="M53" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.36 W m<inline-formula><mml:math id="M54" 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>, respectively. The simulated SO<inline-formula><mml:math id="M55" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> forcing is close to
those estimated by Zelinka et al. (2014) and Forster et al. (2016), while
our results show a larger BC forcing. This is attributed to the correction
of BC emission in our simulations (Xu et al., 2013). The difference between
reflecting and absorbing aerosol forcings implies the substantially
different climate responses.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><caption><p>Annual mean distributions of <bold>(a)</bold> SO<inline-formula><mml:math id="M56" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> and <bold>(b)</bold> BC ERF
from PI to PD (unit: W m<inline-formula><mml:math id="M57" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>. ERF is defined as the perturbation of net
radiative flux at the TOA caused by aerosols. The dots represent
significance at <inline-formula><mml:math id="M58" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 95 % confidence level from the <inline-formula><mml:math id="M59" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test.</p></caption>
          <?xmltex \igopts{width=441.017717pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/11075/2017/acp-17-11075-2017-f02.jpg"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><caption><p>Annual mean distributions of SST responses to <bold>(a)</bold> SO<inline-formula><mml:math id="M60" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> and <bold>(b)</bold> BC forcings (unit: K). The dots represent significance at
<inline-formula><mml:math id="M61" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 95 % confidence level from the <inline-formula><mml:math id="M62" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test.</p></caption>
          <?xmltex \igopts{width=441.017717pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/11075/2017/acp-17-11075-2017-f03.jpg"/>

        </fig>

      <p>Aerosol-induced SST change is an important part of the climatic effect of
aerosols (Xu and Xie, 2015). Figure 3 shows the changes in SST caused by
various aerosol species from the fully coupled simulations. Despite the
essential difference between both types of forcings, the spatial pattern of
SST change caused by SO<inline-formula><mml:math id="M63" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> is found to be similar to that caused by BC
(opposite in sign). It is characterized by a large SST change over the mid-
and high-latitude oceans of the NH but only a slight SST change in the SH.
The SO<inline-formula><mml:math id="M64" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> forcing leads to a significant decrease in SST over the
northern Pacific, northwestern Atlantic, and NH high-latitude oceans, with
the largest cooling exceeding 1.5 K. However, the opposite occurs over those
regions in response to BC, with the largest warming reaching 1 K. A unique
characteristic of the SST response to BC is the obvious warming over the Indian
Ocean–western Pacific warm pool. Similar patterns in SST changes were found
by Chung and Seinfeld (2005), Friedman et al. (2013), and Ocko et al. (2014). However, Ocko et al. (2014) showed a weaker SST change in the NH
high latitudes induced by SO<inline-formula><mml:math id="M65" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> or BC and a warming in the SH high
latitudes caused by SO<inline-formula><mml:math id="M66" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>, which was not seen in other studies. The
simulated global annual mean SST changes caused by SO<inline-formula><mml:math id="M67" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> and BC are <inline-formula><mml:math id="M68" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.44 K (NH: <inline-formula><mml:math id="M69" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.7 K, SH: <inline-formula><mml:math id="M70" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.24 K)
and <inline-formula><mml:math id="M71" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.12 K (NH: <inline-formula><mml:math id="M72" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.17 K, SH: <inline-formula><mml:math id="M73" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.07 K),
respectively (Table 2). Such an interhemispheric asymmetric adjustment in
SST has been used as a crucial index of climate change (Ocko et al., 2014).</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2"><caption><p>Simulated changes in annual and JJA mean sea surface
temperatures caused by SO<inline-formula><mml:math id="M74" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> and BC averaged over
globe, Northern Hemisphere (NH), and Southern Hemisphere (SH; unit: K).</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="4">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Globe</oasis:entry>  
         <oasis:entry colname="col3">NH</oasis:entry>  
         <oasis:entry colname="col4">SH</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">SO<inline-formula><mml:math id="M75" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math id="M76" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.44</mml:mn><mml:mo>/</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.42</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M77" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.7</mml:mn><mml:mo>/</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.64</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M78" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.24</mml:mn><mml:mo>/</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.26</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">BC</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math id="M79" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.12</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">0.11</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M80" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.17</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">0.16</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M81" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.07</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">0.08</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</sec>
<sec id="Ch1.S3.SS2">
  <?xmltex \opttitle{Response of the EASM to SO${}_{{4}}$ forcing}?><title>Response of the EASM to SO<inline-formula><mml:math id="M82" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> forcing</title>
      <p>The sign of the change in surface temperature is consistent with that of
the forcing. Negative SO<inline-formula><mml:math id="M83" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> forcing leads to a marked surface cooling in
summer over the East Asian monsoon region (EAMR), which increases with
latitude (Fig. 4a). In particular, the cooling exceeds 1 K over most of the
NH subtropical oceans. The anomalous northerly winds prevail over eastern
China and the surrounding oceans between 20 and 40<inline-formula><mml:math id="M84" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N due to
SO<inline-formula><mml:math id="M85" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> forcing (Fig. 4d), which signifies the weakening of the EASM
circulation. As seen in Fig. 4, the slow responses of surface air
temperature and winds at 850 hPa to SO<inline-formula><mml:math id="M86" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>-induced SST change closely
resemble their total responses to SO<inline-formula><mml:math id="M87" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><caption><p>JJA mean total, fast, and slow responses of <bold>(a, b, c)</bold>
surface air temperature (unit: K) and <bold>(d, e, f)</bold> wind vectors at 850 hPa
(unit: m s<inline-formula><mml:math id="M88" 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> to SO<inline-formula><mml:math id="M89" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> forcing. The dots represent significance at
<inline-formula><mml:math id="M90" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 95 % confidence level from the <inline-formula><mml:math id="M91" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test.</p></caption>
          <?xmltex \igopts{width=412.564961pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/11075/2017/acp-17-11075-2017-f04.jpg"/>

        </fig>

      <p>The fast response of surface air temperature to SO<inline-formula><mml:math id="M92" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> forcing primarily
features a cooling over continental East Asia, with the values being less
than <inline-formula><mml:math id="M93" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.3 K over most of continental East Asia (Fig. 4b), because the SST
is fixed in these simulations and changes in 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> emissions are
concentrated over land. Such a change in surface temperature decreases the
land–sea surface thermal contrast over the EAMR, thus weakening the EASM
circulation (Fig. 4e). This is consistent with previous studies using other
general circulation models with fixed SST (e.g., Jiang et al., 2013; Dong et
al., 2016). However, note that the weakening of the EASM in the fast response to
SO<inline-formula><mml:math id="M95" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> is too weak to explain the total response of the EASM to SO<inline-formula><mml:math id="M96" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>,
especially over eastern China (Fig. 4d and e). Therefore, we next elaborate
the physical mechanism behind the slow response of the EASM to SO<inline-formula><mml:math id="M97" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><caption><p>JJA mean total, fast, and slow responses of zonally
averaged <bold>(a, b, c)</bold> atmospheric temperature (unit: K) and <bold>(d, e, f)</bold>
geopotential height (unit: m) between 100  and 140<inline-formula><mml:math id="M98" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E
to SO<inline-formula><mml:math id="M99" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> forcing. The dots represent significance at <inline-formula><mml:math id="M100" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 95 %
confidence level from the <inline-formula><mml:math id="M101" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test.</p></caption>
          <?xmltex \igopts{width=412.564961pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/11075/2017/acp-17-11075-2017-f05.jpg"/>

        </fig>

      <p>Figure 5 shows the JJA mean responses of zonally averaged atmospheric
temperature between 100 and 140<inline-formula><mml:math id="M102" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E to SO<inline-formula><mml:math id="M103" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>
forcing over the EAMR. The SO<inline-formula><mml:math id="M104" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>-induced slow climate response leads to a
significant cooling in the whole troposphere (Fig. 5c), though SO<inline-formula><mml:math id="M105" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>
does not largely affect the radiation in the atmosphere. It is responsible
for a large fraction of the atmospheric cooling in the total response to
SO<inline-formula><mml:math id="M106" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> (Fig. 5a and c). This is because the prominent decrease in the JJA
mean SST caused by SO<inline-formula><mml:math id="M107" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> also occurs in the NH midlatitude oceans, with
the values being less than <inline-formula><mml:math id="M108" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1 K over most of the northern Pacific and
northwestern Atlantic (Fig. S1a in the Supplement). The interhemispheric asymmetric change in
SST may distinctly affect the free troposphere by alerting the tropical
circulations and midlatitude eddies (Ming et al., 2011; Hsieh et al., 2013;
Ocko et al., 2014; Xu and Xie, 2015). The most remarkable feature of change
in atmospheric temperature in the slow response to SO<inline-formula><mml:math id="M109" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> is a deep
tropospheric cooling between 30  and 45<inline-formula><mml:math id="M110" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N (Fig. 5c).
A similar temperature response to aerosol forcings was found by Rotstayn et
al. (2014) based on the multi-model ensemble simulations, which indicates
that this is a robust feature of climate response to aerosols. There is an
anomalous cooling center in the upper troposphere (200–500 hPa), with the
cooling exceeding 1 K (Fig. 5c), which leads to a prominent decrease in
geopotential height at those altitudes (Fig. 5f). The geopotential height at
about 200 hPa is reduced by more than 35 m.</p>
      <p>The East Asian subtropical jet (EASJ) that is located around 40<inline-formula><mml:math id="M111" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N
at 200 hPa is an important component of the East Asian monsoon. The change
in geopotential height in the slow response to SO<inline-formula><mml:math id="M112" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> increases the poleward
(equatorward) pressure gradient force to the south (north) of the cooling
center region. Such a change in pressure gradient force leads to an increase
(decrease) in westerlies to the south (north) of the EASJ center through the
geostrophic balance between the Coriolis force and pressure gradient force
(Yu et al., 2004). It is shown in Fig. 6a that the largest increase and
decrease of more than <inline-formula><mml:math id="M113" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>1 m s<inline-formula><mml:math id="M114" 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 westerlies occur at about
25 and 45<inline-formula><mml:math id="M115" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, respectively. Consequently, the EASJ
shifts southwards in response to SO<inline-formula><mml:math id="M116" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>. The slow response dominates over
the total response of the EASJ to SO<inline-formula><mml:math id="M117" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> (Fig. 6).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><caption><p>JJA mean total, fast, and slow responses of zonally
averaged zonal wind between 100  and 140<inline-formula><mml:math id="M118" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E to
SO<inline-formula><mml:math id="M119" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> forcing (unit: m s<inline-formula><mml:math id="M120" 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>. The dashed and solid lines represent
the climatological JJA mean easterly and westerly winds in PI, respectively.
The dots represent significance at <inline-formula><mml:math id="M121" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 95 % confidence level from the
<inline-formula><mml:math id="M122" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test.</p></caption>
          <?xmltex \igopts{width=412.564961pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/11075/2017/acp-17-11075-2017-f06.jpg"/>

        </fig>

      <p>The north and south flanks of the jet axis correspond generally to the
divergence and convergence areas in the lower atmosphere, respectively. The
southward displacement of the EASJ center implies the southward spread of
divergence areas, thereby resulting in an anomalous surface anticyclone over
continental East Asia between 30 and 40<inline-formula><mml:math id="M123" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. The
anomalous subsidence motion in the lower atmosphere around 40<inline-formula><mml:math id="M124" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N
(Fig. S2c) due to the large surface cooling also intensifies the anomalous
surface anticyclone. To the east of the anticyclonic center, anomalous
northerlies increase prominently (Fig. 4f). In addition, the
interhemispheric SST gradient caused by SO<inline-formula><mml:math id="M125" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> (Fig. S1a) strengthens the
ascending branch of the local Hadley cell between 20 and
35<inline-formula><mml:math id="M126" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N in the summer (Figs. S2c and S3c), thereby resulting in an
anomalous cyclonic vortex over southeastern China and the western Pacific
(Fig. 4f). To the west of the cyclonic center, anomalous northerly winds are
further increased. Finally, the SO<inline-formula><mml:math id="M127" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>-induced slow climate response leads
to a more intense weakening of the EASM circulation than its fast response.
Dai et al. (2013) also suggested that the thermal contrast in the mid-upper
troposphere played a more important role than that in the mid-lower
troposphere in impacting the strength and variations of the Asian summer
monsoon circulations. Drop in tropopause height over the EAMR can suppress the convection and weaken the EASM.
As seen in Fig. 7a, the tropopause north of 40<inline-formula><mml:math id="M128" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N in the summer declines
significantly in the total response to SO<inline-formula><mml:math id="M129" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>, which primarily contributed by
its slow response. The sharp drop also coincides with the southward
displacement of the NH subtropical jet, as the jet approximately divides the
tropics (with higher tropopause) and extratropics (Ming et al., 2011). The
above analyses indicate the importance of ocean response to SO<inline-formula><mml:math id="M130" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> forcing
in driving the changes of the EASM circulation.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><caption><p>JJA mean total, fast, and slow responses of zonally
averaged tropopause heights between 100  and 120<inline-formula><mml:math id="M131" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E to
<bold>(a)</bold> SO<inline-formula><mml:math id="M132" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> and <bold>(b)</bold> BC forcing (unit: hPa). The positive values indicate
a drop in the tropopause.</p></caption>
          <?xmltex \igopts{width=384.112205pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/11075/2017/acp-17-11075-2017-f07.jpg"/>

        </fig>

      <p>Note that the changes in atmospheric temperature and geopotential height due
to the adjustments in clouds and atmospheric states in the fast response to
SO<inline-formula><mml:math id="M133" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> (Fig. 5b and e) lead to the increase of more than 0.8 m s<inline-formula><mml:math id="M134" 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 westerlies at the north of the jet center (Fig. 6b). The positive change
of westerlies in the fast response is comparable to the negative change of
westerlies in the slow response to SO<inline-formula><mml:math id="M135" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> due to the comparable changes in
temperature and geopotential height. The change of the jet in the fast response
to SO<inline-formula><mml:math id="M136" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> (Fig. 6b) is conducive to the enhancement of the EASM, which
partially offsets the weakening of the EASM due to the decrease of the land–sea
surface thermal contrast.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><caption><p>JJA mean total, fast, and slow responses of precipitation
rate to SO<inline-formula><mml:math id="M137" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> forcing (unit: mm day<inline-formula><mml:math id="M138" 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>. The values in the top right
corner of the figures represent the responses averaged over the region
0–50<inline-formula><mml:math id="M139" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 100–140<inline-formula><mml:math id="M140" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E. The dots
represent significance at <inline-formula><mml:math id="M141" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 95 % confidence level from the <inline-formula><mml:math id="M142" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test.</p></caption>
          <?xmltex \igopts{width=412.564961pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/11075/2017/acp-17-11075-2017-f08.jpg"/>

        </fig>

      <p>The weakening of the EASM circulation caused by SO<inline-formula><mml:math id="M143" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> forcing suppresses
the transport of surface warm and moist air northwards and upwards, which
results in a significant decrease in precipitation over eastern and southern
China and the ambient oceans (Fig. 8a). In particular, the precipitation is
decreased by more than 0.6 mm day<inline-formula><mml:math id="M144" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> over most of southern China. The
cooling in the lower troposphere and warming in the upper troposphere due to
the fast response north of 20<inline-formula><mml:math id="M145" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N (Fig. 5b) can suppress the
vertical ascending motion (Fig. S2b) and moisture transfer, thereby also
contributing to the decrease in precipitation. However, the precipitation
increases (yet not significantly) over some of the western Pacific due to
the enhanced convection in the slow response to SO<inline-formula><mml:math id="M146" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> (Fig. S2c), with the
maximum exceeding 1 mm day<inline-formula><mml:math id="M147" 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>. Note that the SO<inline-formula><mml:math id="M148" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>-induced
slow climate response leads to a large increase in precipitation over
western China, which is the opposite compared to its fast response (Fig. 8b and
c). This is because the enhanced easterly anomalies in the lower troposphere
between 25 and 35<inline-formula><mml:math id="M149" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N in the slow response (Fig. 4f and
6c) bring about more moisture into the inland regions of China, which is
beneficial to the formation of clouds and precipitation. In a word, the
decrease in precipitation over land in East Asia in the total response to
SO<inline-formula><mml:math id="M150" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> is dominated by the fast response, while the change in precipitation
over the adjacent ocean is dominated by the slow response.</p>
</sec>
<sec id="Ch1.S3.SS3">
  <title>Response of the EASM to BC forcing</title>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><caption><p>JJA mean total, fast, and slow responses of <bold>(a, b, c)</bold>
surface air temperature (unit: K) and <bold>(d, e, f)</bold> wind vectors at 850 hPa
(unit: m s<inline-formula><mml:math id="M151" 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> to BC forcing. The dots represent significance at <inline-formula><mml:math id="M152" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 95 % confidence level from the <inline-formula><mml:math id="M153" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test.</p></caption>
          <?xmltex \igopts{width=412.564961pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/11075/2017/acp-17-11075-2017-f09.jpg"/>

        </fig>

      <p>Figure 9 shows JJA mean responses of surface air temperature and wind
vectors at 850 hPa to BC forcing. Absorbing BC increases the surface air
temperature over the EAMR, with the largest warming appearing at the NH
midlatitudes, especially over the northwestern Pacific, with the maximum
exceeding 0.8 K (Fig. 9a). This is mainly from the contribution of the slow
climate response to BC (Fig. 9c). The small anomalous southerly winds at 850 hPa
prevail and the EASM circulation is slightly enhanced, especially north
of 30<inline-formula><mml:math id="M154" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, in the total climate response to BC (Fig. 9d), which is
mainly attributed to their fast responses to BC. The fast and slow responses
of surface winds to BC over the EAMR are inverses of each other. The anomalous northerlies
in the slow response that tend to weaken the EASM greatly offset the anomalous
southerlies in the fast response to BC (Fig. 9e and f).</p>
      <p>Now we explain why the enhancement of the monsoon in the fast response to BC forcing
is strong. Firstly, the large surface warming in the fast response to BC occurs
over continental East Asia, especially north of 30<inline-formula><mml:math id="M155" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, with the
warming exceeding 0.2 K (Fig. 9b). This increases the land–sea surface
thermal contrast over the EAMR, thereby enhancing the EASM circulation (Fig. 9e). This mechanism is also at work in the fast response to SO<inline-formula><mml:math id="M156" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>. Secondly
and unique to the BC case, the direct absorption of solar radiation by BC
leads to a deep tropospheric warming of 0.2 to 1 K at the NH midlatitudes
(Fig. 10), which dominates over the tropospheric warming in the total response
to BC. An anomalous warming center of more than 0.6 K appears and the
geopotential height is increased by more than 10 m in the upper troposphere
around 40<inline-formula><mml:math id="M157" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N (Fig. 10e). Consequently, the pressure increases
in the uppermost troposphere, which strengthens the poleward (equatorward)
pressure gradient force in the north (south) flank of the warming region. This
results in an increase of 0.2 to 1 m s<inline-formula><mml:math id="M158" 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> (a decrease of 0.8 to 1.2 m s<inline-formula><mml:math id="M159" 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 westerly winds in the north (south) flank of the EASJ center
and the northward movement of the EASJ (Fig. 11b). The total response of the
jet is consistent with the fast response of it to BC. With the change of the
EASJ, an anomalous cyclonic vortex is formed over land in East Asia and
anomalous southerly winds increase over eastern China. This second mechanism
involving the EASJ change further magnifies the enhancement of the EASM
caused by the increase in land–sea surface thermal contrast in the fast response
to BC. The elevation of the tropopause between 40  and
50<inline-formula><mml:math id="M160" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N in the summer due to the fast response also implies the
strengthening of the EASM (Fig. 7b). The fast response dominates over the
total response of tropopause height to BC.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10" specific-use="star"><caption><p>JJA mean total, fast, and slow responses of zonally
averaged <bold>(a, b, c)</bold> atmospheric temperature (unit: K) and <bold>(d, e, f)</bold>
geopotential height (unit: m) between 100 and 140<inline-formula><mml:math id="M161" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E
to BC forcing. The dots represent significance at <inline-formula><mml:math id="M162" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 95 % confidence
level from the <inline-formula><mml:math id="M163" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test.</p></caption>
          <?xmltex \igopts{width=412.564961pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/11075/2017/acp-17-11075-2017-f10.jpg"/>

        </fig>

      <p>The BC-induced slow response is in the opposite direction of the fast
response. Like the annual mean SST response, the significant increase in the JJA
mean SST caused by BC occurs not only in the NH midlatitude oceans but also
in the Indian Ocean–western Pacific warm pool, with the warming exceeding
0.2 K over most areas (Fig. S1b). This results in the deep tropospheric
warming north of 40<inline-formula><mml:math id="M164" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and a larger warming in the upper
troposphere between 20  and 30<inline-formula><mml:math id="M165" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, respectively (Fig. 10c). Keshavamurty (1982) found that the warming over tropical western
Pacific could significantly enhance the convection motion in the western
Pacific and that it was more efficient in producing atmospheric circulation
anomalies. Therefore, the BC-induced slow climate response also strengthens
the ascending branch of the local Hadley cell between 15  and
30<inline-formula><mml:math id="M166" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N in the summer (Figs. S4c and S5c). This leads to an
anomalous cyclone in the lower atmosphere over these regions, thus
increasing the anomalous northerly winds over eastern China (Fig. 9f). While
the tropospheric temperature increases in the slow response to BC, the warming
in the upper troposphere of around 40<inline-formula><mml:math id="M167" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N is less than that on
both of its flanks (Fig. 10c). Such an adjustment in tropospheric temperature
is conducive to a southward shifting of the EASJ (Fig. 11c). These EASJ
changes cause the BC-induced slow response to weaken the EASM circulation,
which even overcomes the strengthening of the EASM due to the increase in
land–sea surface thermal contrast in the slow response (Fig. 9c). The opposite
fast and slow responses of tropopause height to BC also indicate their
adverse impact on the EASM circulation (Fig. 7b).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F11" specific-use="star"><caption><p>JJA mean total, fast, and slow responses of zonally
averaged zonal wind between 100 and 140<inline-formula><mml:math id="M168" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E to BC
forcing (unit: m s<inline-formula><mml:math id="M169" 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>. The dashed and solid lines represent the
climatological JJA mean easterly and westerly winds in PI, respectively. The
dots represent significance at <inline-formula><mml:math id="M170" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 95 % confidence level from the <inline-formula><mml:math id="M171" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test.</p></caption>
          <?xmltex \igopts{width=441.017717pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/11075/2017/acp-17-11075-2017-f11.jpg"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F12" specific-use="star"><caption><p>JJA mean total, fast, and slow responses of
precipitation rate to BC forcing (unit: mm day<inline-formula><mml:math id="M172" 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>. The values in the
top right corner of the figures represent the responses averaged over the
region 0–50<inline-formula><mml:math id="M173" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 100–140<inline-formula><mml:math id="M174" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E. The
dots represent significance at <inline-formula><mml:math id="M175" display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 95 % confidence level from the <inline-formula><mml:math id="M176" display="inline"><mml:mi>t</mml:mi></mml:math></inline-formula> test.</p></caption>
          <?xmltex \igopts{width=441.017717pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/11075/2017/acp-17-11075-2017-f12.jpg"/>

        </fig>

      <p>Lastly, the JJA mean response of precipitation to BC forcing over the EAMR is
weaker than that found in the response to SO<inline-formula><mml:math id="M177" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> with less area in which the change is significant (Fig. 12), mainly because
of a smaller radiative forcing. The total response of precipitation to BC
manifests a spatial pattern of wetting–drying–wetting from north to south
over the EAMR, with an increase of 0.1 to 0.6 mm day<inline-formula><mml:math id="M178" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> over most of
southeastern China and north of 40<inline-formula><mml:math id="M179" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N and a decrease of 0.1 to
0.5 mm day<inline-formula><mml:math id="M180" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> over the Yangtze–Huai
River valley (Fig. 12a). This is not consistent with that reported by Menon
et al. (2002), which indicated that BC forcing primarily contributed to the
wetter-south–dryer-north phenomenon in eastern China during the past
decades. The change in precipitation caused by BC forcing is mainly in line
with the change in monsoon circulation. The fast and slow responses of
precipitation to BC are almost opposite over the EAMR (Fig. 12b and c) due to
the opposite circulation changes. The deep tropospheric warming north of
40<inline-formula><mml:math id="M181" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N due to the fast response (Fig. 10b) can intensify the vertical
ascending motion (Fig. S4b) and moisture transfer, which dominates over the
increase in precipitation here. However, the warming in the troposphere and
anomalous surface easterly winds between 20 and 30<inline-formula><mml:math id="M182" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N due to the
slow response (Figs. 10c and 11c) are conducive to the development of
ascending motion (Fig. S4c) and moisture transport from the oceans, which
contributes to the increase in precipitation over these regions. In addition,
the southward shifting of the EASJ in the slow response leads to an increase
in surface divergence (Fig. 9f) and a decrease in precipitation over the
Yangtze–Huai River valley. In
general, the spatial distribution of the total precipitation response agrees
well with that of the slow precipitation response to BC except north of
40<inline-formula><mml:math id="M183" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, which also shows the significance of the SST change induced
by BC forcing in impacting the EASM.</p>
</sec>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <title>Discussion and conclusions</title>

<?xmltex \floatpos{p}?><table-wrap id="Ch1.T3" orientation="landscape"><caption><p> Summary of the fast and slow responses of the EASM to
SO<inline-formula><mml:math id="M184" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> and BC forcings.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.85}[.85]?><oasis:tgroup cols="9">
     <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="left"/>
     <oasis:colspec colnum="5" colname="col5" align="justify" colwidth="99.584646pt" colsep="1"/>
     <oasis:colspec colnum="6" colname="col6" align="left"/>
     <oasis:colspec colnum="7" colname="col7" align="left"/>
     <oasis:colspec colnum="8" colname="col8" align="left"/>
     <oasis:colspec colnum="9" colname="col9" align="justify" colwidth="99.584646pt"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry namest="col2" nameend="col5" align="center" colsep="1">Fast response </oasis:entry>  
         <oasis:entry namest="col6" nameend="col9" align="center">Slow response </oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Thermal contrast</oasis:entry>  
         <oasis:entry colname="col3">Subtropical jet</oasis:entry>  
         <oasis:entry colname="col4">Southerly winds</oasis:entry>  
         <oasis:entry colname="col5">Precipitation</oasis:entry>  
         <oasis:entry colname="col6">Thermal contrast</oasis:entry>  
         <oasis:entry colname="col7">Subtropical jet</oasis:entry>  
         <oasis:entry colname="col8">Southerly winds</oasis:entry>  
         <oasis:entry colname="col9">Precipitation</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">SO<inline-formula><mml:math id="M185" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">Decrease</oasis:entry>  
         <oasis:entry colname="col3">Northward shift (weakly)</oasis:entry>  
         <oasis:entry colname="col4">Decrease (weakly)</oasis:entry>  
         <oasis:entry colname="col5">Decrease over land</oasis:entry>  
         <oasis:entry colname="col6">Decrease (weakly)</oasis:entry>  
         <oasis:entry colname="col7">Southward shift</oasis:entry>  
         <oasis:entry colname="col8">Decrease</oasis:entry>  
         <oasis:entry colname="col9">Decrease in eastern and southern China but increase in western China</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">BC</oasis:entry>  
         <oasis:entry colname="col2">Increase</oasis:entry>  
         <oasis:entry colname="col3">Northward shift</oasis:entry>  
         <oasis:entry colname="col4">Increase</oasis:entry>  
         <oasis:entry colname="col5">Pattern of drying–wetting–drying</oasis:entry>  
         <oasis:entry colname="col6">Increase (weakly)</oasis:entry>  
         <oasis:entry colname="col7">Southward shift (weakly)</oasis:entry>  
         <oasis:entry colname="col8">Decrease</oasis:entry>  
         <oasis:entry colname="col9">Pattern of wetting–drying–wetting</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

      <p>This study investigates the roles of fast and slow components in shaping the
total equilibrium response of the EASM to reflecting SO<inline-formula><mml:math id="M186" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> and absorbing
BC forcings using an Earth system model with a fully coupled dynamic ocean,
in contrast to most of the previous studies that adopted a slab ocean model
(e.g., Allen and Sherwood, 2010; Ganguly et al., 2012). Such a decomposition
of the total response will be helpful in better understanding the mechanisms by
which aerosols impact the EASM. Our results show that reflecting SO<inline-formula><mml:math id="M187" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>
produces a global mean ERF of <inline-formula><mml:math id="M188" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.98 W m<inline-formula><mml:math id="M189" 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>, while absorbing BC leads to
an ERF of <inline-formula><mml:math id="M190" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.36 W m<inline-formula><mml:math id="M191" 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>. Despite the essential difference in forcings,
the spatial distribution of the SST response at the global scale is prominently
similar between SO<inline-formula><mml:math id="M192" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> and BC forcings. However, a unique characteristic
of the SST response to BC is the obvious warming over the Indian Ocean–western
Pacific warm pool.</p>
      <p>There are significantly different mechanisms between fast and slow responses
of the EASM to different aerosol forcings. Table 3 provides a summary of the
responses of the EASM in various cases. The SO<inline-formula><mml:math id="M193" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>-induced fast climate
response weakens the EASM through decreasing the land–sea surface thermal
contrast over the EAMR. This has been shown in many earlier studies (e.g.,
Jiang et al., 2013; Wang et al., 2015). However, we show here that the
SO<inline-formula><mml:math id="M194" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>-induced SST change (i.e., slow climate response) further weakens
the EASM by changing the tropospheric thermodynamic and circulation
structures, especially through a southward shifting of the EASJ. Eventually,
the EASM circulation is significantly weakened, and the precipitation is
reduced over the EAMR in the total response to SO<inline-formula><mml:math id="M195" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>. However, the decrease
in precipitation over land in East Asia in the total response to SO<inline-formula><mml:math id="M196" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> is
dominated by the fast response, while the change in precipitation over
the adjacent ocean is dominated by the slow response.</p>
      <p>The BC-induced changes are weaker and more complicated. The fast climate
response significantly strengthens the EASM both by increasing the land–sea
surface thermal contrast over the EAMR and moving the EASJ northwards.
However, the BC-induced slow climate response weakens the EASM by
strongly affecting the atmospheric temperature and circulation. The role of
the EASJ has not been clearly shown in previous studies, which often only
considered the fast adjustment of climate to BC forcing. As a result of the
competing factors of the land–sea contrast and ESAJ shift, the EASM in the total
response to BC is weaker and less significant, with a slight enhancement
north of 30<inline-formula><mml:math id="M197" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N. As for the precipitation responses, the total
response to BC shows a spatial pattern of wetting–drying–wetting from
north to south over the EAMR. This differs from the results in Menon et al. (2002), which suggested that the increased BC emission contributed to the
wetter-south–dryer-north phenomenon in summer over eastern China in the
past decades. The spatial pattern of the total precipitation response is similar
to that of the slow precipitation response to BC.</p>
      <p>This study elaborates on the mechanisms of the impacts of various aerosol
species on the EASM system, highlighting the importance of ocean response to
aerosol forcings (i.e., slow response component) in driving the changes of
the EASM. Given a larger negative ERF due to SO<inline-formula><mml:math id="M198" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>, it can be speculated that
the integrated effect of total anthropogenic aerosols likely tends to weaken
the EASM over the industrial era, as suggested by earlier works (e.g., Song
et al., 2014; Salzmann et al., 2014).</p>
      <p>Our results clearly suggest that one pathway aerosol forcings have to affect
the EASM is by changing the land–sea surface thermal contrast, as shown in
previous studies (e.g., Liu et al., 2011; Zhang et al., 2012; Salzmann et
al., 2014; Wang et al., 2015, 2016). However, we also emphasize the role of the EASJ,
which could amplify or offset the effects of the surface thermal contrast. The
response of the EASJ to aerosols needs further studies, preferably using
multi-model ensembles, because (1) it is quite sensitive to the atmospheric
forcing component (Fig. 11b) that is altitude dependent and (2) as a
component of the larger NH westerly jet stream, it is more subject to the
influence of non-local (outside Asia) aerosols that could undergo a
different emission pathway than local aerosol emissions in a shorter time.</p>
</sec>

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

      <p>The model outputs analyzed in this study can be accessed by contacting the
corresponding author Lei Lin (linlei3@mail.sysu.edu.cn).</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-17-11075-2017-supplement" xlink:title="pdf">https://doi.org/10.5194/acp-17-11075-2017-supplement</inline-supplementary-material>.</bold></p></supplementary-material>
        </app-group><notes notes-type="authorcontribution">

      <p>ZW and LL conceived the study and performed the analysis. ZW,
LL, MY, and YX wrote the paper. All authors provided comments
and contributed to the text.</p>
  </notes><notes notes-type="competinginterests">

      <p>The authors declare that they have no conflict of
interest.</p>
  </notes><ack><title>Acknowledgements</title><p>The authors thank the two anonymous reviewers for valuable comments and
suggestions. This study was supported by the National Key R&amp;D Program of
China (2017YFA0603503 and 2016YFC0203306), (key) National Natural
Science Foundation of China (41575139 and 91644211), and Jiangsu Collaborative Innovation Center for Climate Change.
<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>Edited by: Rolf
Müller<?xmltex \hack{\newline}?> Reviewed by: two anonymous referees</p></ack><ref-list>
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    <!--<article-title-html>Disentangling fast and slow responses of the East Asian summer monsoon to reflecting and absorbing aerosol forcings</article-title-html>
<abstract-html><p class="p">We examine the roles of fast and slow responses in shaping the total
equilibrium response of the East Asian summer monsoon (EASM) to reflecting
(sulfate, SO<sub>4</sub>) and absorbing (black carbon, BC) aerosol forcings over
the industrial era using the Community Earth System Model version 1 (CESM1).
Our results show that there is a clear distinction between fast and slow
responses of the EASM to aerosol forcings and the slow climate response due
to aerosol-induced change in sea surface temperature (SST) plays an important
role in the impacts of aerosols on the EASM. The EASM is weakened by a
decrease in land–sea surface thermal contrast in the fast response (FR)
component to SO<sub>4</sub> forcing, whereas the weakening is more intensive due to
the changes in tropospheric thermodynamic and dynamic structures in the slow
response (SR) component to SO<sub>4</sub>. The total climate adjustment caused by
SO<sub>4</sub> is a significant weakening of the EASM and a decrease in
precipitation. The BC-induced fast adjustment strengthens the EASM both by
increasing the local land–sea surface thermal contrast and shifting the East Asian subtropical jet (EASJ)
northwards. The BC-induced slow climate adjustment, however, weakens the EASM
through altering the atmospheric temperature and circulation. Consequently,
the EASM is slightly enhanced, especially north of 30° N, in the
total response (TR) to BC. The spatial patterns of precipitation change over
East Asia due to BC are similar in the total response and slow response. This
study highlights the importance of ocean response to aerosol forcings in
driving the changes of the EASM.</p></abstract-html>
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