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  <front>
    <journal-meta><journal-id journal-id-type="publisher">ACP</journal-id><journal-title-group>
    <journal-title>Atmospheric Chemistry and Physics</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ACP</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Atmos. Chem. Phys.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1680-7324</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/acp-18-1291-2018</article-id><title-group><article-title>Long-term (2001–2012) trends of carbonaceous aerosols from<?xmltex \hack{\break}?> a remote island
in the western North Pacific:<?xmltex \hack{\break}?> an outflow region of Asian pollutants</article-title>
      </title-group><?xmltex \runningtitle{Long-term trends of carbonaceous aerosols}?><?xmltex \runningauthor{S. K. R. Boreddy et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Boreddy</surname><given-names>Suresh K. R.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-0619-2942</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Haque</surname><given-names>M. Mozammel</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-5979-8000</ext-link></contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff3">
          <name><surname>Kawamura</surname><given-names>Kimitaka</given-names></name>
          <email>kkawamura@isc.chubu.ac.jp</email>
        <ext-link>https://orcid.org/0000-0003-1190-3726</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Institute of Low Temperature Science, Hokkaido University, Sapporo
060-0819, Japan</institution>
        </aff>
        <aff id="aff2"><label>a</label><institution>now at: Yale-NUIST Center on Atmospheric Environment, Nanjing
University of Information Science and Technology, Nanjing, 21004, China</institution>
        </aff>
        <aff id="aff3"><label>b</label><institution>now at: Chubu Institute of Advanced Studies, Chubu University, Kasugai
487-8501, Japan</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Kimitaka Kawamura (kkawamura@isc.chubu.ac.jp)</corresp></author-notes><pub-date><day>31</day><month>January</month><year>2018</year></pub-date>
      
      <volume>18</volume>
      <issue>2</issue>
      <fpage>1291</fpage><lpage>1306</lpage>
      <history>
        <date date-type="received"><day>28</day><month>March</month><year>2017</year></date>
           <date date-type="rev-request"><day>5</day><month>April</month><year>2017</year></date>
           <date date-type="rev-recd"><day>25</day><month>November</month><year>2017</year></date>
           <date date-type="accepted"><day>20</day><month>December</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>
    <?pagebreak page1291?><p id="d1e113">The present study reports on long-term trends of carbonaceous aerosols in
total suspended particulate (TSP) samples collected at Chichijima in
the western North Pacific during 2001–2012. Seasonal variations of elemental
carbon (EC), organic carbon (OC), and water-soluble organic carbon (WSOC)
concentrations showed maxima in winter to spring and minima in summer. These
seasonal differences in the concentrations of carbonaceous aerosols were
associated with the outflows of polluted air masses from East Asia, which are
clearly distinguishable from pristine air masses from the central Pacific.
The higher concentrations of carbonaceous aerosols during winter to spring
are associated with long-range atmospheric transport of East Asian
continental polluted air masses, whereas lower concentrations may be due to
pristine air masses from the central Pacific in summer. The annual trends of
OC <inline-formula><mml:math id="M1" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC (<inline-formula><mml:math id="M2" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.46 % yr<inline-formula><mml:math id="M3" 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>, WSOC (<inline-formula><mml:math id="M4" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.18 % yr<inline-formula><mml:math id="M5" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) and
WSOC <inline-formula><mml:math id="M6" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> OC (<inline-formula><mml:math id="M7" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.08 % yr<inline-formula><mml:math id="M8" 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> showed significant (<inline-formula><mml:math id="M9" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M10" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05)
increases during the period of 2001–2012, suggesting that photochemical
formation of WSOC and its contributions to secondary organic aerosols (SOAs)
have increased over the western North Pacific via long-range atmospheric
transport. We found a significant increase (<inline-formula><mml:math id="M11" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.33 % yr<inline-formula><mml:math id="M12" 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
nss-K<inline-formula><mml:math id="M13" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M14" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC ratios, demonstrating that concentrations of
biomass-burning-derived carbonaceous aerosols have increased, while those of
primary fossil-fuel-derived aerosols have decreased over the western North
Pacific. Further, secondary biogenic emissions are also important over the
western North Pacific as inferred from a significant increase
(<inline-formula><mml:math id="M15" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.14 % yr<inline-formula><mml:math id="M16" 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 the concentrations of methanesulfonate
(MSA<inline-formula><mml:math id="M17" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula>, a tracer for biogenic sources). This point was further supported
by a moderate correlation (<inline-formula><mml:math id="M18" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.40</mml:mn></mml:mrow></mml:math></inline-formula>) between WSOC and MSA<inline-formula><mml:math id="M19" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula>. We also
found a significant increase in OC <inline-formula><mml:math id="M20" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> TC (total carbon) and WSOC <inline-formula><mml:math id="M21" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> TC
ratios, further suggesting that photochemical formation of WSOC and its
contributions to SOAs have increased over the western North Pacific during
2001–2012 via long-range atmospheric transport from East Asia.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p id="d1e321">Particulate air pollution is one of the most important environmental issues
due to its severe impact on visibility and air quality, and has been a great
issue over East Asia, particularly in China (Zhang and Cao, 2015; Cui et al.,
2015). On the other hand, its impacts on not only climate but also public
health may be more severe and intricate (Pöschl, 2005; Menon et al.,
2002). Carbonaceous aerosols are ubiquitous in the Earth's atmosphere and
potentially cause harmful effect on human health (Bond et al., 2013;
Kanakidou et al., 2005; Ramanathan and Carmichael, 2008; Fatima et al., 2012;
Chung and Seinfeld, 2002). They are traditionally divided into two fractions:
organic carbon (OC), which contains less volatile and more reflective
species, and elemental carbon (EC; alternatively referred to as black carbon,
BC), which is the least reflective and most light-absorbing component
(Pöschl, 2005). However, the role of OC on cooling or warming has been a
matter of debate (Chung et al., 2012; Cazorla et al., 2013) because a class
of OC (brown carbon) may absorb sunlight (Feng et al., 2013; Lu et al., 2015;
Laskin et al., 2015; Bahadur et al., 2012). In the ambient atmosphere,
however, these two fractions (EC and OC) are mixed and consequently
complicate the estimation of net radiative forcing (Jacobson, 2001).
Therefore, studying carbonaceous aerosols and their sources is essential to
understand how the different sources of carbonaceous particles may influence
the radiative balance on a regional and global scale.</p>
      <?pagebreak page1292?><p id="d1e324">The major sources of carbonaceous aerosols are fossil fuel and biomass
burning in addition to the atmospheric oxidation of anthropogenic and
biogenic volatile organic compounds (VOCs) (Chung et al., 2012; Szidat et
al., 2006). The global emission of organic aerosols (OAs) from biomass and
fossil fuel sources has been estimated at 45–80 and 10–30 Tg yr<inline-formula><mml:math id="M22" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>,
respectively (Scholes and Andreae, 2000). Due to the presence of polar
functional groups, particularly carboxylic acids, many organic compounds in
OA are water-soluble (Boreddy et al., 2016) and hence aid the particles
acting as cloud condensation nuclei (CCN) (Novakov and Penner, 1993;
Matsumoto et al., 1997; Asa-Awuku et al., 2009). According to the recent
report of the intergovernmental panel on climate change (IPCC, 2013), the
radiative forcing of BC and OA associated with fossil fuel and biofuel
combustions is in the range of <inline-formula><mml:math id="M23" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.05 to <inline-formula><mml:math id="M24" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.8 (mean: <inline-formula><mml:math id="M25" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.4) W m<inline-formula><mml:math id="M26" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
and <inline-formula><mml:math id="M27" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.4 to <inline-formula><mml:math id="M28" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.1 (<inline-formula><mml:math id="M29" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.12) W m<inline-formula><mml:math id="M30" 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. It is <inline-formula><mml:math id="M31" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.0
(<inline-formula><mml:math id="M32" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.2 to <inline-formula><mml:math id="M33" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.2) W m<inline-formula><mml:math id="M34" 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> as a result of their change offset when BC
and OA are emitted by biomass burning (Boucher et al., 2013). Therefore,
carbonaceous aerosols have a net warming effect on the climate as per the
IPCC 2013 report. However, there still exist large uncertainties in
quantifying radiative forcing of carbonaceous aerosols, particularly with
regard to OA (Reddy and Boucher, 2004).</p>
      <p id="d1e440">The atmosphere over East Asia is becoming worse due to not only the dense
population but also rapid urbanization/industrialization (Fu et al., 2012;
Cao et al., 2007). On a global scale, China has the largest carbonaceous
aerosol emissions from combustion with contributions of about 24 and 30 %
for OC and BC, respectively (Bond et al., 2004). Recently, Wang et al. (2016)
suggested that coal combustions and vehicular emissions are the dominating
sources of carbonaceous aerosols in China (Kirillova et al., 2014). Using the
emission estimated by Model of Emissions of Gases and Aerosols from Nature
(MEGAN) and combined with the MOdel of HYdrocarbon Emissions from the CANopy
(MOHYCAN), Stavrakou et al. (2014) reported an increased emission of biogenic
isoprene over Asia (0.16 % yr<inline-formula><mml:math id="M35" 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>) with more pronounced trend over
China (0.52 % yr<inline-formula><mml:math id="M36" 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> during 1979–2012. In contrast, SO<inline-formula><mml:math id="M37" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
emissions over China have been declining since 2006 because of the wide usage
of flue-gas desulfurization (FGD) equipment in power plants (Lu et al., 2010,
2011). All these East Asian pollutants along with soil dust are transported
to the North Pacific via long-range atmospheric transport by westerly winds
and perturb the remote marine background conditions and the ocean
biogeochemistry by heterogeneous reactions (Boreddy et al., 2015; Matsumoto
et al., 2004). In addition to East Asian pollutants, the western North
Pacific also receives biomass burning emissions from Southeast Asia (Tsay et
al., 2016; Lin et al., 2013; Huang et al., 2013).</p>
      <p id="d1e479">To better understand the long-range transport of Asian pollutants and their
atmospheric processing over the western North Pacific, we continuously
collect total suspended particulate (TSP) samples since 1990 at Chichijima
(Mochida et al., 2003; Kawamura et al., 2003; Boreddy and Kawamura,
2016). Chichijima is a remote marine island in the western North Pacific,
which is located in the outflow region of East Asian pollutants and dust
during the westerly wind season and in the pristine air masses under the wind
regime of easterlies. This island is about 1000 km south of Tokyo, Japan, and
2000 km from the East Asian countries (China) as shown in Fig. 1. Therefore,
the observation at Chichijima is useful for studying the long-range
transport of East Asian pollutants and their heterogeneous chemistry over the
western North Pacific (Boreddy et al., 2014; Verma et al., 2015). In this study, we discuss the long-term trends in the concentrations
of carbonaceous aerosols (EC, OC, and water-soluble organic carbon (WSOC))
and their ratios during 2001–2012 in addition to seasonal variations. The
role of photochemical oxidation of anthropogenic and biogenic VOCs on OC and
WSOC and their relations to CCN are also discussed.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><caption><p id="d1e485">Location of sampling site (indicated by red star) in the
western North Pacific and its adjacent Asian countries.</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/1291/2018/acp-18-1291-2018-f01.png"/>

      </fig>

<?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S2">
  <title>Instrumentation and data analyses</title>
<sec id="Ch1.S2.SS1">
  <title>Sampling site and aerosol collection</title>
      <?pagebreak page1293?><p id="d1e507">Figure 1 shows the location of the sampling site and its adjacent Asian
countries in the western North Pacific. TSP samples were collected at the
Satellite Tracking Centre of the Japan Aerospace Exploration Agency (JAXA,
elevation: 254 m) in Chichijima (27<inline-formula><mml:math id="M38" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>04<inline-formula><mml:math id="M39" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N,
142<inline-formula><mml:math id="M40" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>13<inline-formula><mml:math id="M41" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> E) on a weekly basis (Boreddy and Kawamura, 2015). Aerosol
samples are collected on pre-combusted (450<inline-formula><mml:math id="M42" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> C for 3–5 h) quartz
filter (20 cm <inline-formula><mml:math id="M43" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 25 cm, Pallflex 2500QAT-UP) using a high-volume air
sampler (HVS) with a flow rate of 1 m<inline-formula><mml:math id="M44" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> min<inline-formula><mml:math id="M45" 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>. The HVS was
installed at a height of 5 m above the ground level. The filters were placed
in a pre-baked (450 <inline-formula><mml:math id="M46" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C for 6 h) glass jar (150 mL) with a
Teflon-lined screw cap before sample collection. After aerosol collection,
the filters were recovered into the glass jar, transported to the laboratory
in Hokkaido University, Sapporo, and stored in a freezer room at
<inline-formula><mml:math id="M47" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>20 <inline-formula><mml:math id="M48" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C prior to analysis. A total of 545 aerosol samples and about
56 field blank samples were used for the analysis of carbonaceous components
during 2001–2012.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <title>Analyses of carbonaceous aerosols</title>
      <p id="d1e615">Concentrations of OC and EC were determined using a Sunset Laboratory carbon
analyzer following the IMPROVE (Interagency Monitoring of Protected Visual
Environments) thermal–optical evolution protocol (Wang et al., 2005),
assuming carbonate carbon (CC) in the aerosol samples to be insignificant
(Chow and Watson, 2002). Previous studies have also shown that carbonate,
particularly calcium carbonate, levels were low or negligible in most ambient
samples, which were analyzed using the IMPROVE protocol (Wang et al., 2005; Clarke
and Karani, 1992; Chow et al., 2001). A filter cut of 1.54 cm<inline-formula><mml:math id="M49" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> of each
filter was placed in a quartz tube inside the thermal desorption chamber of
the analyzer and then stepwise heating was applied. Helium (He) gas was
applied in the first ramp and was switched to mixture of He <inline-formula><mml:math id="M50" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> O<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> in
the second ramp. The evolved CO<inline-formula><mml:math id="M52" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> during the oxidation at each
temperature step was measured by non-dispersive infrared (NDIR) detector
system. The calculated detection limits of OC and EC were 0.05 and
0.02 <inline-formula><mml:math id="M53" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>gC m<inline-formula><mml:math id="M54" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, respectively. The sum of OC and EC was
considered to as total carbon (TC) in this study.</p>
      <p id="d1e672">To determine WSOC, a punch of 20 mm in diameter of each filter was extracted
with 20 mL organic-free ultrapure water (<inline-formula><mml:math id="M55" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 18.2 M<inline-formula><mml:math id="M56" display="inline"><mml:mi mathvariant="normal">Ω</mml:mi></mml:math></inline-formula> cm,
Sartorius arium 611 UV) and ultrasonicated for 30 min. These extracts were
passed through a disk filter (Millex-GV, 0.22 <inline-formula><mml:math id="M57" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m pore size,
Millipore) to remove the filter debris and insoluble particles and analyzed
using a total organic carbon (TOC) analyzer (Shimadzu, TOC-Vcsh) equipped
with a catalytic oxidation column and non-dispersive infrared detector
(Miyazaki et al., 2011).</p>
      <p id="d1e696"><?xmltex \hack{\newpage}?>Concentrations of water-soluble methanesulfonate (MSA<inline-formula><mml:math id="M58" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, non-sea-salt
sulfate (nss-SO<inline-formula><mml:math id="M59" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, non-sea-salt potassium (nss-K<inline-formula><mml:math id="M60" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, and sodium
(Na<inline-formula><mml:math id="M61" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> were taken from the study of Boreddy and Kawamura (2015), in order
to support the inferences related to carbonaceous species over the western
North Pacific, which were determined using ion chromatography (761 Compact
IC, Metrohm, Switzerland).</p>
      <p id="d1e753">The analytical errors in the replicate analyses were less than 10 % for
OC, EC, and WSOC in this study. The concentrations of carbonaceous aerosols
reported in this study were corrected for field blanks. The levels of blanks
were less than 5 % for all the parameters in real samples.</p>

      <?xmltex \floatpos{t}?><?pagebreak page1294?><fig id="Ch1.F2" specific-use="star"><caption><p id="d1e759">Seven-day daily air mass back trajectories at 500 m a.g.l. computed
using HYSPLIT model for each month during 2001–2012 at Chichijima in
the western North Pacific. The star symbol indicates the sampling site and red
dots represent the MODIS inferred fire spots. Fire spots were downloaded for
the
region (80–150<inline-formula><mml:math id="M62" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, <inline-formula><mml:math id="M63" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>10–70<inline-formula><mml:math id="M64" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) during the year 2001.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/1291/2018/acp-18-1291-2018-f02.png"/>

        </fig>

</sec>
<sec id="Ch1.S2.SS3">
  <title>Statistical analyses</title>
      <p id="d1e799">Two statistical approaches were used to better conduct the trend analyses in
time series of WSOC, EC, and OC and their ratios during 2001–2012. First,
the tendency (linear trend) equation was used for each time series (Draper
and Smith, 1966). Second, all trends were assessed by using the Mann–Kendall
non-parametric test (Mann, 1945; Kendall, 1975), which is completely
independent of the first approach. More detailed information about these
statistical analyses are described in the Supplement.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Results and discussion</title>
<sec id="Ch1.S3.SS1">
  <title>Air mass back trajectories and general meteorology</title>
      <p id="d1e814">To better understand the influence of heterogeneity in air masses to
carbonaceous aerosols, we computed daily 7-day isentropic air mass back
trajectories at an altitude of 500 m for each month using a Hybrid Single
Particle Lagrangian-Integrated Trajectory (HYSPLIT) model (Draxler and Rolph,
2013) during 2001–2012 as shown in Fig. 2. We also investigated the MODerate
resolution Imaging Spectroradiometer (MODIS)-derived fire count data along
with the back trajectories to understand the intensity of biomass burning
over East Asia and South/Southeast Asia. Fire spot data were downloaded from
the MODIS website over the region (80 to 150<inline-formula><mml:math id="M65" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, 10<inline-formula><mml:math id="M66" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S to
70<inline-formula><mml:math id="M67" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) during the year 2001 as an example for all the years
(2001–2012) because of overlapping (there is no much difference in the
intensity and area of fire spots). More detailed information about the
monthly air mass back trajectories and fire data for each year during
2001–2012 are described elsewhere (Verma et al., 2015). From winter
(December–February) to spring (March–May), the air masses carry continental
air pollutants and dusts from East Asia to the sampling site in the Pacific
by a long-range atmospheric transport (Fig. 2). The continental air masses
are absent in summer (June to August) with the pristine air masses coming
from the central Pacific to the observation site. In autumn
(September–November), the air mass pattern shifts from southeasterly to
northwesterly with stronger winds towards winter.</p>

<?xmltex \floatpos{t}?><?pagebreak page1295?><table-wrap id="Ch1.T1" specific-use="star"><caption><p id="d1e847">Monthly mean (<inline-formula><mml:math id="M68" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> standard deviation) values of EC, OC, WSOC
concentrations, and their ratios during 2001–2012 over the western North
Pacific.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="7">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1">Month</oasis:entry>  
         <oasis:entry colname="col2">EC</oasis:entry>  
         <oasis:entry colname="col3">OC</oasis:entry>  
         <oasis:entry colname="col4">WSOC</oasis:entry>  
         <oasis:entry colname="col5">OC <inline-formula><mml:math id="M69" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC</oasis:entry>  
         <oasis:entry colname="col6">WSOC <inline-formula><mml:math id="M70" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> OC</oasis:entry>  
         <oasis:entry colname="col7">nss-K<inline-formula><mml:math id="M71" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M72" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">(<inline-formula><mml:math id="M73" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math id="M74" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">(<inline-formula><mml:math id="M75" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math id="M76" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">(<inline-formula><mml:math id="M77" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math id="M78" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"/>  
         <oasis:entry colname="col6"/>  
         <oasis:entry colname="col7"/>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">January</oasis:entry>  
         <oasis:entry colname="col2">0.18 <inline-formula><mml:math id="M79" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.07</oasis:entry>  
         <oasis:entry colname="col3">0.80 <inline-formula><mml:math id="M80" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.41</oasis:entry>  
         <oasis:entry colname="col4">0.54 <inline-formula><mml:math id="M81" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.28</oasis:entry>  
         <oasis:entry colname="col5">4.85 <inline-formula><mml:math id="M82" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.01</oasis:entry>  
         <oasis:entry colname="col6">0.69 <inline-formula><mml:math id="M83" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.14</oasis:entry>  
         <oasis:entry colname="col7">0.29 <inline-formula><mml:math id="M84" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.16</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">February</oasis:entry>  
         <oasis:entry colname="col2">0.25 <inline-formula><mml:math id="M85" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.07</oasis:entry>  
         <oasis:entry colname="col3">0.95 <inline-formula><mml:math id="M86" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.36</oasis:entry>  
         <oasis:entry colname="col4">0.55 <inline-formula><mml:math id="M87" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.17</oasis:entry>  
         <oasis:entry colname="col5">3.95 <inline-formula><mml:math id="M88" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.31</oasis:entry>  
         <oasis:entry colname="col6">0.63 <inline-formula><mml:math id="M89" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.22</oasis:entry>  
         <oasis:entry colname="col7">0.35 <inline-formula><mml:math id="M90" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.39</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">March</oasis:entry>  
         <oasis:entry colname="col2">0.28 <inline-formula><mml:math id="M91" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.05</oasis:entry>  
         <oasis:entry colname="col3">1.13 <inline-formula><mml:math id="M92" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.37</oasis:entry>  
         <oasis:entry colname="col4">0.59 <inline-formula><mml:math id="M93" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.22</oasis:entry>  
         <oasis:entry colname="col5">4.11 <inline-formula><mml:math id="M94" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.19</oasis:entry>  
         <oasis:entry colname="col6">0.56 <inline-formula><mml:math id="M95" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.19</oasis:entry>  
         <oasis:entry colname="col7">0.22 <inline-formula><mml:math id="M96" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.09</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">April</oasis:entry>  
         <oasis:entry colname="col2">0.22 <inline-formula><mml:math id="M97" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.10</oasis:entry>  
         <oasis:entry colname="col3">0.77 <inline-formula><mml:math id="M98" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.32</oasis:entry>  
         <oasis:entry colname="col4">0.48 <inline-formula><mml:math id="M99" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.28</oasis:entry>  
         <oasis:entry colname="col5">3.89 <inline-formula><mml:math id="M100" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.37</oasis:entry>  
         <oasis:entry colname="col6">0.62 <inline-formula><mml:math id="M101" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.20</oasis:entry>  
         <oasis:entry colname="col7">0.26 <inline-formula><mml:math id="M102" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.12</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">May</oasis:entry>  
         <oasis:entry colname="col2">0.14 <inline-formula><mml:math id="M103" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.08</oasis:entry>  
         <oasis:entry colname="col3">0.80 <inline-formula><mml:math id="M104" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.31</oasis:entry>  
         <oasis:entry colname="col4">0.35 <inline-formula><mml:math id="M105" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.19</oasis:entry>  
         <oasis:entry colname="col5">7.68 <inline-formula><mml:math id="M106" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4.11</oasis:entry>  
         <oasis:entry colname="col6">0.44 <inline-formula><mml:math id="M107" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.19</oasis:entry>  
         <oasis:entry colname="col7">0.40 <inline-formula><mml:math id="M108" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.27</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">June</oasis:entry>  
         <oasis:entry colname="col2">0.08 <inline-formula><mml:math id="M109" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.07</oasis:entry>  
         <oasis:entry colname="col3">0.74 <inline-formula><mml:math id="M110" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.35</oasis:entry>  
         <oasis:entry colname="col4">0.30 <inline-formula><mml:math id="M111" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.18</oasis:entry>  
         <oasis:entry colname="col5">21.1 <inline-formula><mml:math id="M112" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 30.4</oasis:entry>  
         <oasis:entry colname="col6">0.44 <inline-formula><mml:math id="M113" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.17</oasis:entry>  
         <oasis:entry colname="col7">0.54 <inline-formula><mml:math id="M114" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.36</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">July</oasis:entry>  
         <oasis:entry colname="col2">0.06 <inline-formula><mml:math id="M115" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.06</oasis:entry>  
         <oasis:entry colname="col3">0.58 <inline-formula><mml:math id="M116" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.35</oasis:entry>  
         <oasis:entry colname="col4">0.22 <inline-formula><mml:math id="M117" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.07</oasis:entry>  
         <oasis:entry colname="col5">19.0 <inline-formula><mml:math id="M118" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 16.7</oasis:entry>  
         <oasis:entry colname="col6">0.44 <inline-formula><mml:math id="M119" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.17</oasis:entry>  
         <oasis:entry colname="col7">0.97 <inline-formula><mml:math id="M120" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.94</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">August</oasis:entry>  
         <oasis:entry colname="col2">0.04 <inline-formula><mml:math id="M121" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.03</oasis:entry>  
         <oasis:entry colname="col3">0.63 <inline-formula><mml:math id="M122" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.27</oasis:entry>  
         <oasis:entry colname="col4">0.27 <inline-formula><mml:math id="M123" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.16</oasis:entry>  
         <oasis:entry colname="col5">33.2 <inline-formula><mml:math id="M124" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 52.5</oasis:entry>  
         <oasis:entry colname="col6">0.46 <inline-formula><mml:math id="M125" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.23</oasis:entry>  
         <oasis:entry colname="col7">0.70 <inline-formula><mml:math id="M126" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.69</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">September</oasis:entry>  
         <oasis:entry colname="col2">0.05 <inline-formula><mml:math id="M127" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.04</oasis:entry>  
         <oasis:entry colname="col3">0.60 <inline-formula><mml:math id="M128" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.26</oasis:entry>  
         <oasis:entry colname="col4">0.20 <inline-formula><mml:math id="M129" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.10</oasis:entry>  
         <oasis:entry colname="col5">22.3 <inline-formula><mml:math id="M130" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 17.3</oasis:entry>  
         <oasis:entry colname="col6">0.38 <inline-formula><mml:math id="M131" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.19</oasis:entry>  
         <oasis:entry colname="col7">1.02 <inline-formula><mml:math id="M132" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.82</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">October</oasis:entry>  
         <oasis:entry colname="col2">0.08 <inline-formula><mml:math id="M133" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.04</oasis:entry>  
         <oasis:entry colname="col3">0.62 <inline-formula><mml:math id="M134" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.18</oasis:entry>  
         <oasis:entry colname="col4">0.27 <inline-formula><mml:math id="M135" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.12</oasis:entry>  
         <oasis:entry colname="col5">12.2 <inline-formula><mml:math id="M136" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 9.07</oasis:entry>  
         <oasis:entry colname="col6">0.45 <inline-formula><mml:math id="M137" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.19</oasis:entry>  
         <oasis:entry colname="col7">0.50 <inline-formula><mml:math id="M138" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.43</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">November</oasis:entry>  
         <oasis:entry colname="col2">0.15 <inline-formula><mml:math id="M139" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.10</oasis:entry>  
         <oasis:entry colname="col3">0.75 <inline-formula><mml:math id="M140" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.39</oasis:entry>  
         <oasis:entry colname="col4">0.42 <inline-formula><mml:math id="M141" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.20</oasis:entry>  
         <oasis:entry colname="col5">6.68 <inline-formula><mml:math id="M142" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4.89</oasis:entry>  
         <oasis:entry colname="col6">0.61 <inline-formula><mml:math id="M143" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.20</oasis:entry>  
         <oasis:entry colname="col7">0.44 <inline-formula><mml:math id="M144" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.26</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">December</oasis:entry>  
         <oasis:entry colname="col2">0.18 <inline-formula><mml:math id="M145" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.09</oasis:entry>  
         <oasis:entry colname="col3">0.73 <inline-formula><mml:math id="M146" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.29</oasis:entry>  
         <oasis:entry colname="col4">0.39 <inline-formula><mml:math id="M147" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.08</oasis:entry>  
         <oasis:entry colname="col5">4.63 <inline-formula><mml:math id="M148" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.65</oasis:entry>  
         <oasis:entry colname="col6">0.59 <inline-formula><mml:math id="M149" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.18</oasis:entry>  
         <oasis:entry colname="col7">0.21 <inline-formula><mml:math id="M150" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.12</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><caption><p id="d1e1830">Box-and-whisker plots of monthly variations of carbonaceous aerosol
components (<inline-formula><mml:math id="M151" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math id="M152" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>) and some specific mass ratios at
Chichijima in the western North Pacific during 2001–2012. The
horizontal line and small dot inside the box indicate median and mean,
respectively. The vertical hinges represent data points from the lower to the
upper quartile (i.e., 25th and 75th percentiles). The whiskers represent data
points from the 1st to 99th percentiles.</p></caption>
          <?xmltex \igopts{width=355.659449pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/1291/2018/acp-18-1291-2018-f03.png"/>

        </fig>

      <p id="d1e1859"><?xmltex \hack{\newpage}?>Figure S1 in the Supplement shows the temporal variations of meteorological
parameters such as air temperature (<inline-formula><mml:math id="M153" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C), relative humidity (%),
wind speed (m s<inline-formula><mml:math id="M154" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, and precipitation (mm) at Chichijima during
the study period of 2001–2012. All the meteorological parameters were
downloaded from the Japan Meteorological Agency (JMA). There was a clear
seasonal variation in ambient temperature, relative humidity, and
precipitation with summer maxima and winter minima. Wind speeds were higher
in winter to spring and lower in summer.</p>
</sec>
<sec id="Ch1.S3.SS2">
  <title>Monthly/seasonal variations</title>
      <p id="d1e1893">Figure 3a–f present the monthly/seasonal variations in the concentrations
of EC, OC, WSOC, and some specific mass ratios at Chichijima in the
western North Pacific during 2001–2012. The corresponding statistical data
were reported in Table 1. All measured species (EC, OC, and WSOC) clearly
showed winter-to-spring maxima (highest concentration was in March) and
summer minima (lowest in July) and then increase towards autumn. The seasonal
variation in carbonaceous aerosols observed in this study was found
consistent with the typical seasonal pattern in ambient carbonaceous aerosols
over China (X. Y. Zhang et al., 2008; Cao et al., 2006), indicating a common
source for these components, which are long-range-transported to the western
North Pacific. This, of course, can also be influenced by seasonal
meteorology and air mass back trajectories over the western North Pacific as
discussed in Sect. 3.1.</p>

<?xmltex \floatpos{t}?><?pagebreak page1296?><table-wrap id="Ch1.T2" specific-use="star"><caption><p id="d1e1899">Literature values of OC <inline-formula><mml:math id="M155" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC ratios for various sources of
aerosol. Different font styles indicate different OC <inline-formula><mml:math id="M156" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC values from different studies.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="3">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Source of aerosol</oasis:entry>  
         <oasis:entry colname="col2">OC <inline-formula><mml:math id="M157" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC ratio</oasis:entry>  
         <oasis:entry colname="col3">References</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">Fossil fuel combustion</oasis:entry>  
         <oasis:entry colname="col2">4.0, <bold>4.1</bold>, <italic>1.1</italic></oasis:entry>  
         <oasis:entry colname="col3">Koch (2001), <bold>Cao et al. (2005)</bold>, <italic>Watson et al. (2001)</italic></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Coal combustion</oasis:entry>  
         <oasis:entry colname="col2"><italic>2.7</italic>, 12.0</oasis:entry>  
         <oasis:entry colname="col3"><italic>Watson et al. (2001)</italic>, Cao et al. (2005)</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Biomass burning</oasis:entry>  
         <oasis:entry colname="col2">9.0, <bold>60.3</bold>, <italic>5</italic>–<italic>8</italic></oasis:entry>  
         <oasis:entry colname="col3">Cachier et al. (1989), <bold>Cao et al. (2005)</bold>, <italic>Andreae and Merlet (2001)</italic></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Forest fire</oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math id="M158" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 16.0</oasis:entry>  
         <oasis:entry colname="col3">Watson et al. (2001)</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Diesel truck plume</oasis:entry>  
         <oasis:entry colname="col2">0.06, <italic>0.8</italic>, <bold>0.3</bold></oasis:entry>  
         <oasis:entry colname="col3">Dallmann et al. (2014), <italic>Na et al. (2004)</italic>, <bold>Turpin and Huntzicker (1995)</bold></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Gasoline vehicle</oasis:entry>  
         <oasis:entry colname="col2">0.02, <italic>2.2</italic></oasis:entry>  
         <oasis:entry colname="col3">Dallmann et al. (2014), <italic>Na et al. (2004)</italic></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Secondary organic carbon</oasis:entry>  
         <oasis:entry colname="col2">3.3</oasis:entry>  
         <oasis:entry colname="col3">Saarikoski et al. (2008)</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Long-range transported/aged</oasis:entry>  
         <oasis:entry colname="col2">12.0</oasis:entry>  
         <oasis:entry colname="col3">Saarikoski et al. (2008)</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Traffic</oasis:entry>  
         <oasis:entry colname="col2">0.7</oasis:entry>  
         <oasis:entry colname="col3">Saarikoski et al. (2008)</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Cooking emissions</oasis:entry>  
         <oasis:entry colname="col2">4.3–7.7</oasis:entry>  
         <oasis:entry colname="col3">See and Balasubramanian (2008)</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e2120">Relatively higher monthly average concentrations up to 0.28, 1.13, and
0.59 <inline-formula><mml:math id="M159" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math id="M160" 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> were observed for EC, OC, and WSOC in March. In
contrast, their monthly averages were lower in summer or early autumn (July
or September) with the concentrations of 0.04, 0.58, and
0.20 <inline-formula><mml:math id="M161" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math id="M162" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, respectively (Table 1). It is well documented
that in summer, a maritime high-pressure wind dominates over the western
North Pacific in which the air masses are pristine and less influenced by the
continental outflow from East Asia (Fig. 2). This observation is consistent
with the fact that concentrations of anthropogenic nss-SO<inline-formula><mml:math id="M163" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>,
NO<inline-formula><mml:math id="M164" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, NH<inline-formula><mml:math id="M165" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, and nss-K<inline-formula><mml:math id="M166" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> showed similar seasonal
variations with winter and/or spring maxima and summer minima (Boreddy and
Kawamura, 2015). On the other hand, continental air masses blow from the
Asian continent in winter and spring; therefore, the maritime background
condition of the western North Pacific is often influenced by the continental
outflow via long-range atmospheric transport (Duce et al., 1980). Very low
concentrations of EC in summer, whose abundances were up to 7 times lower
than those in the continental outflow, suggest negligible contribution of
local anthropogenic emissions as well as long-range influences over the
sampling site. These results are consistent with previous studies, which
reported that several times lower concentrations of organic compounds in
summer compared to winter/spring over the same observation site (Kawamura et
al., 2003; Mochida et al., 2003). Therefore, it is reasonable to believe that
the sources of carbonaceous aerosols were transported from the adjacent Asian
countries to the western North Pacific via long-range atmospheric transport.</p>
      <p id="d1e2210">As described earlier, EC particles are primary and predominately come from
biomass and fossil fuel combustion sources. Conversely, OC is of either
primary origin or secondary formation via gas-to-particle conversion and
heterogeneous phase processing in the atmosphere. The precursors of secondary
OC may also come from biogenic sources in addition to fossil fuel combustion
and biomass burning emissions. The OC <inline-formula><mml:math id="M167" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC ratios often used to
distinguish the relative contribution of primary vs. secondary sources as
well as biomass vs. fossil fuel burning sources (Turpin and Huntzicker, 1995;
Castro et al., 1999; Rastogi et al., 2016). Atmospheric aerosols emitted from
fossil fuel combustion are characterized by lower OC <inline-formula><mml:math id="M168" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC ratios
(<inline-formula><mml:math id="M169" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 2.0), whereas higher OC <inline-formula><mml:math id="M170" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC ratios (<inline-formula><mml:math id="M171" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 2.0) have been used to
point out the presence of secondary OA (SOA) (Cao et al., 2003; Chow et al.,
1996; Kunwar and Kawamura, 2014; Pani et al., 2017) in the atmosphere with a
limited impact of biomass burning. Table 2 summarizes OC <inline-formula><mml:math id="M172" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC ratios
reported for various sources of aerosol particles. The split of OC <inline-formula><mml:math id="M173" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC
ratios at higher or lower than 2 (from Table 2) may not be the best indicator
of SOA because fossil fuel combustion has OC <inline-formula><mml:math id="M174" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC of 1.1 (Watson et al.,
2001), 4.0 (Koch et al., 2001), and 4.1 (Cao et al., 2005). Monthly mean
OC <inline-formula><mml:math id="M175" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC ratios in this study are much larger in the summer and still
greater than the cutoff (<inline-formula><mml:math id="M176" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 4.0) in winter to spring as shown in
Table 1. This result suggests a dominance of SOA over the western North
Pacific. The seasonal variation of OC <inline-formula><mml:math id="M177" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC mass ratios showed maxima in
summer (<inline-formula><mml:math id="M178" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 21 to 33) and minima in winter to spring (3.9 to 7.7). The
extremely high OC <inline-formula><mml:math id="M179" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC ratios in summer indicate the secondary formation
of OC via oxidation processes, while low OC <inline-formula><mml:math id="M180" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC ratios in winter to
spring suggests that both biomass burning and fossil fuel combustion
contribute to carbonaceous aerosols over the western North Pacific in
winter to spring.</p>
      <p id="d1e2314">It is well documented that nss-K<inline-formula><mml:math id="M181" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> and EC can be used as tracers for
biomass burning and fossil fuel combustion emissions, respectively.
Therefore, nss-K<inline-formula><mml:math id="M182" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M183" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC ratios were widely used to better identify
major sources of carbonaceous aerosols (Wang et al., 2005; Rastogi et al.,
2016; Ram and Sarin, 2011). The higher nss-K<inline-formula><mml:math id="M184" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M185" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC ratios
(<inline-formula><mml:math id="M186" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.20) indicate the dominance of biomass burning emissions, whereas
lower ratios (<inline-formula><mml:math id="M187" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.10) suggest the prevalence of fossil fuel combustion
emissions. In this study, higher nss-K<inline-formula><mml:math id="M188" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M189" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC mass ratios were
observed in midsummer (July) to early autumn (September) (Fig. 3e),
suggesting an influence of biomass burning emissions from southeast Asian
countries via long-range atmospheric transport over the western North
Pacific. This point is consistent with the air mass back trajectory and
MODIS fire count data during summer months (Fig. 2), which clearly showed
that air masses were occasionally coming from Southeast Asia (Indonesia,
Malaysia and New Guinea, etc.) where biomass burning is a common phenomena
during summer to early autumn. Biomass burning products were transported to
the western North Pacific (Fig. 2). Verma et al. (2015) reported significant
concentrations of levoglucosan during summer in Chichijima (in the absence of
East Asian outflows), which were attributed to the occasional transport of
biomass burning influenced air masses from southeast Asia, as inferred from
the air mass trajectories and fire spot data during 2001–2013. Therefore,
carbonaceous aerosols over Chichijima strictly follow the seasonal wind
patterns in the western North Pacific.</p>
      <p id="d1e2389">Previous studies have shown that SOA is largely composed of oxygenated
compounds that are highly water-soluble (Kanakidou et al., 2005; Kondo et
al., 2007, and references therein). Thus, measurements of WSOC have been used
to estimate the SOA in ambient aerosols (Weber et al., 2007; Snyder et al.,
2009; Sudheer et al., 2015; Decesari et al., 2001; Docherty et al., 2008).
Because a major fraction of biomass burning products is highly water-soluble
(Sannigrahi et al., 2006; Saarikoski et al., 2008), higher WSOC <inline-formula><mml:math id="M190" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> OC
ratios under ambient conditions with limited biomass burning impact have been
used to better understand the photochemical activity and/or aging of aerosols
and to discuss SOA formation mechanism in the atmosphere during long-range
transport (Miyazaki et al., 2007; Ram et al., 2010b; Ram and Sarin, 2011;
Kondo et al., 2007; Weber et al., 2007). The WSOC <inline-formula><mml:math id="M191" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> OC ratios exceeding
0.4 have been used to indicate the significant contribution of SOA (Ram et
al., 2010a) and aged aerosols. The WSOC <inline-formula><mml:math id="M192" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> OC ratios ranged from 0.06 to
0.19 in diesel particles (Cheung et al., 2009) and 0.27 for vehicular
emissions (Saarikoski et al., 2008).</p>
      <?pagebreak page1297?><p id="d1e2413">In this study, we found that monthly mean WSOC <inline-formula><mml:math id="M193" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> OC ratios were <inline-formula><mml:math id="M194" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 4.0
for all months except for September, indicating a significant contribution
from SOA over the western North Pacific. The seasonal variation of
WSOC <inline-formula><mml:math id="M195" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> OC showed higher values (monthly mean: 0.44 to 0.62) during winter
to spring months (Fig. 3f), implying that SOA formation was enhanced due to
an increased photochemical activity and/or aging of East Asian polluted
aerosols during long-range atmospheric transport. The high WSOC <inline-formula><mml:math id="M196" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> OC
ratios are traditionally attributed to the atmospheric oxidation of various
VOCs in the presence of oxidants such as ozone and hydroxyl radicals via gas-
and/or aqueous-phase reactions in the atmosphere (Miyazaki et al., 2007; Ram
and Sarin, 2012). However, the atmosphere over the western North Pacific is
always characterized by high relative humidity (<inline-formula><mml:math id="M197" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 80 %) and air
temperature (<inline-formula><mml:math id="M198" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 24 <inline-formula><mml:math id="M199" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C) during the whole year (Fig. S1).
Therefore, higher WSOC concentrations in winter to spring over the western
North Pacific were largely attributed to the aqueous-phase oxidation of
anthropogenic and/or biogenic VOCs (Youn et al.,
2013), which are emitted over continental East Asia and long-range-transported to the western North Pacific.</p>
      <p id="d1e2468">On the other hand, we found lower ratios of WSOC <inline-formula><mml:math id="M200" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> OC in summer. This
result may suggest a minor contribution of water-soluble organic matter in
summer due to a negligible contribution of aged continental air masses and/or
significant contribution from marine biota. Based on the gradient flux
measurements, Ceburnis et al. (2008) found that water-insoluble organic
matter (WIOM) exhibited an upward flux, whereas water-soluble organic matter
(WSOM) exhibited a downward flux, suggesting a primary production for WIOM
and a secondary formation for WSOM. In this study, WIOM/WSOM ratios were
higher in summer (mean: 1.45 <inline-formula><mml:math id="M201" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.17) and autumn (0.35 <inline-formula><mml:math id="M202" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.57)
than in winter (0.19 <inline-formula><mml:math id="M203" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.67) as shown in Fig. 4a. Higher ratios of
WIOM/WSOM in summer over the western North Pacific are consistent with an
idea that the ocean-derived organic matter is emitted from the ocean surface
via sea-to-air flux as a fresh (less aged) organic matter. This result is
further supported by the study of Miyazaki et al. (2010), who reported a
significant amount of WIOM in the western North Pacific during summer, which
may be produced by bubble-bursting processes at the ocean surface. Similarly,
Ovadnevaite et al. (2011) reported higher contributions of primary organic
matter to marine aerosols over the northeast Atlantic.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><caption><p id="d1e2501">Monthly variations <bold>(a)</bold> WSIM <inline-formula><mml:math id="M204" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> WSOM mass ratios and sea salt
concentrations and <bold>(b)</bold> regression analysis between water-insoluble organic carbon (WIOC) and sea salt
concentrations. The color scale in <bold>(a)</bold> indicates the wind speed
over the western North Pacific.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/1291/2018/acp-18-1291-2018-f04.png"/>

        </fig>

<?xmltex \floatpos{t}?><?pagebreak page1298?><table-wrap id="Ch1.T3" specific-use="star"><caption><p id="d1e2530">Statistical report on the annual trends in carbonaceous aerosols
and their ratios during 2001–2012 at Chichijima in the western North
Pacific.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="8">
     <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:colspec colnum="5" colname="col5" align="right" colsep="1"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1">Species</oasis:entry>  
         <oasis:entry rowsep="1" namest="col2" nameend="col5" align="center" colsep="1">Concentrations (<inline-formula><mml:math id="M207" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math id="M208" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry rowsep="1" namest="col6" nameend="col8" align="center">Mann–Kendall non-parametric test </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Min</oasis:entry>  
         <oasis:entry colname="col3">Max</oasis:entry>  
         <oasis:entry colname="col4">Mean</oasis:entry>  
         <oasis:entry colname="col5">SD</oasis:entry>  
         <oasis:entry colname="col6">Kendall's tau (<inline-formula><mml:math id="M209" display="inline"><mml:mrow><mml:mi mathvariant="italic">τ</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M210" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> value</oasis:entry>  
         <oasis:entry colname="col8">Sen's slope</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">EC</oasis:entry>  
         <oasis:entry colname="col2">0.00</oasis:entry>  
         <oasis:entry colname="col3">0.36</oasis:entry>  
         <oasis:entry colname="col4">0.14</oasis:entry>  
         <oasis:entry colname="col5">0.10</oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math id="M211" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.06</oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M212" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.05</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math id="M213" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.0002</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">OC</oasis:entry>  
         <oasis:entry colname="col2">0.26</oasis:entry>  
         <oasis:entry colname="col3">1.70</oasis:entry>  
         <oasis:entry colname="col4">0.76</oasis:entry>  
         <oasis:entry colname="col5">0.36</oasis:entry>  
         <oasis:entry colname="col6">0.07</oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M214" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.05</oasis:entry>  
         <oasis:entry colname="col8">0.0008</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">TC</oasis:entry>  
         <oasis:entry colname="col2">0.28</oasis:entry>  
         <oasis:entry colname="col3">2.01</oasis:entry>  
         <oasis:entry colname="col4">0.90</oasis:entry>  
         <oasis:entry colname="col5">0.43</oasis:entry>  
         <oasis:entry colname="col6">0.05</oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M215" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.05</oasis:entry>  
         <oasis:entry colname="col8">0.0007</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">WSOC</oasis:entry>  
         <oasis:entry colname="col2">0.08</oasis:entry>  
         <oasis:entry colname="col3">1.30</oasis:entry>  
         <oasis:entry colname="col4">0.38</oasis:entry>  
         <oasis:entry colname="col5">0.22</oasis:entry>  
         <oasis:entry colname="col6">0.09<inline-formula><mml:math id="M216" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M217" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.05</oasis:entry>  
         <oasis:entry colname="col8">0.0006</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">OC <inline-formula><mml:math id="M218" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC</oasis:entry>  
         <oasis:entry colname="col2">1.91</oasis:entry>  
         <oasis:entry colname="col3">67</oasis:entry>  
         <oasis:entry colname="col4">9.74</oasis:entry>  
         <oasis:entry colname="col5">21.9</oasis:entry>  
         <oasis:entry colname="col6">0.21<inline-formula><mml:math id="M219" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M220" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05</oasis:entry>  
         <oasis:entry colname="col8">0.0240</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">WSOC <inline-formula><mml:math id="M221" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> OC</oasis:entry>  
         <oasis:entry colname="col2">0.06</oasis:entry>  
         <oasis:entry colname="col3">0.94</oasis:entry>  
         <oasis:entry colname="col4">0.53</oasis:entry>  
         <oasis:entry colname="col5">0.21</oasis:entry>  
         <oasis:entry colname="col6">0.09<inline-formula><mml:math id="M222" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M223" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05</oasis:entry>  
         <oasis:entry colname="col8">0.0007</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">OC <inline-formula><mml:math id="M224" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> TC</oasis:entry>  
         <oasis:entry colname="col2">0.66</oasis:entry>  
         <oasis:entry colname="col3">1.00</oasis:entry>  
         <oasis:entry colname="col4">0.85</oasis:entry>  
         <oasis:entry colname="col5">0.08</oasis:entry>  
         <oasis:entry colname="col6">0.21<inline-formula><mml:math id="M225" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M226" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05</oasis:entry>  
         <oasis:entry colname="col8">0.0007</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">EC <inline-formula><mml:math id="M227" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> TC</oasis:entry>  
         <oasis:entry colname="col2">0.00</oasis:entry>  
         <oasis:entry colname="col3">0.34</oasis:entry>  
         <oasis:entry colname="col4">0.15</oasis:entry>  
         <oasis:entry colname="col5">0.08</oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math id="M228" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.21</oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M229" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.05</oasis:entry>  
         <oasis:entry colname="col8"><inline-formula><mml:math id="M230" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.0007</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">WSOC <inline-formula><mml:math id="M231" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> TC</oasis:entry>  
         <oasis:entry colname="col2">0.06</oasis:entry>  
         <oasis:entry colname="col3">0.86</oasis:entry>  
         <oasis:entry colname="col4">0.44</oasis:entry>  
         <oasis:entry colname="col5">0.17</oasis:entry>  
         <oasis:entry colname="col6">0.14<inline-formula><mml:math id="M232" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M233" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05</oasis:entry>  
         <oasis:entry colname="col8">0.0009</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">MSA<inline-formula><mml:math id="M234" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">0.00</oasis:entry>  
         <oasis:entry colname="col3">0.05</oasis:entry>  
         <oasis:entry colname="col4">0.02</oasis:entry>  
         <oasis:entry colname="col5">0.01</oasis:entry>  
         <oasis:entry colname="col6">0.08<inline-formula><mml:math id="M235" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M236" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05</oasis:entry>  
         <oasis:entry colname="col8">0.00002</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">nss-K<inline-formula><mml:math id="M237" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M238" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC</oasis:entry>  
         <oasis:entry colname="col2">0.02</oasis:entry>  
         <oasis:entry colname="col3">2.97</oasis:entry>  
         <oasis:entry colname="col4">0.51</oasis:entry>  
         <oasis:entry colname="col5">0.40</oasis:entry>  
         <oasis:entry colname="col6">0.09<inline-formula><mml:math id="M239" display="inline"><mml:msup><mml:mi/><mml:mo>*</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M240" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05</oasis:entry>  
         <oasis:entry colname="col8">0.0009</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p id="d1e2533">“*” indicates that the trends are significant at <inline-formula><mml:math id="M205" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M206" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05
level.</p></table-wrap-foot></table-wrap>

      <p id="d1e3167">Further, laboratory studies have revealed a high abundance of primary organic
matter dominated by WIOM in marine aerosols (Facchini et al., 2008; Keene et
al., 2007). However, it should be noted that although bubble-bursting process
is a common source for both sea salt (sea salt <inline-formula><mml:math id="M241" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 3.2 <inline-formula><mml:math id="M242" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> Na<inline-formula><mml:math id="M243" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>,
where 3.2 is the conservative mass ratio of salinity to Na in seawater; data
obtained from Boreddy and Kawamura, 2015) and WIOM in marine aerosols, we
found a negative/no correlation (<inline-formula><mml:math id="M244" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.22</mml:mn></mml:mrow></mml:math></inline-formula>) between sea salt and
water-insoluble organic carbon (WIOC)
concentrations in summer (Fig. 4b). This result suggests an additional
source of organic matter (completely independent of sea salt production and
wind speed) which is evidenced by the higher
MSA<inline-formula><mml:math id="M245" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M246" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> nss-SO<inline-formula><mml:math id="M247" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> mass ratios (Boreddy and Kawamura, 2015)
and higher concentrations of azelaic acid (Boreddy et al., 2017) during
summer and autumn. MSA<inline-formula><mml:math id="M248" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M249" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> nss-SO<inline-formula><mml:math id="M250" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> mass ratios have been
suggested as an indicator for the relative contribution of oceanic dimethyl
sulfide (DMS) vs. anthropogenic sources to sulfate (Gondwe et al., 2004;
Savoie and Prospero, 1989). Higher ratios indicate that nss-SO<inline-formula><mml:math id="M251" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> is
derived from the atmospheric oxidation of oceanic DMS, while lower ratios
suggest the anthropogenic contribution of SO<inline-formula><mml:math id="M252" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>. On the other hand,
azelaic acid is a specific photochemical oxidation product of unsaturated
fatty acids emitted from the ocean surface (Kawamura and Sakaguchi, 1999) and
also found in biomass burning plumes (Graham et al., 2002). Therefore, it is
worthy to note that, although marine biogenic sources are major contributors
to organic matter during summer to autumn, there are some influence from
non-marine sources (for example, transport of biomass burning products from
Southeast Asia as suggested by higher ratios of nss-K<inline-formula><mml:math id="M253" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M254" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC in
summer), mixed with marine sources.</p>

      <?xmltex \floatpos{t}?><?pagebreak page1299?><fig id="Ch1.F5" specific-use="star"><caption><p id="d1e3313">Annual trends (time series) in the concentrations (<inline-formula><mml:math id="M255" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math id="M256" 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>) of
carbonaceous aerosol components, water-soluble ionic tracer compound (MSA<inline-formula><mml:math id="M257" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula>)
and some specific mass ratios during 2001–2012 over the western North
Pacific. The linear trend equation (<inline-formula><mml:math id="M258" display="inline"><mml:mrow><mml:mi>y</mml:mi><mml:mo>=</mml:mo><mml:mi>m</mml:mi><mml:mi>x</mml:mi><mml:mo>+</mml:mo><mml:mi>c</mml:mi></mml:mrow></mml:math></inline-formula>) is also shown for the each annual
trend.</p></caption>
          <?xmltex \igopts{width=384.112205pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/1291/2018/acp-18-1291-2018-f05.png"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS3">
  <title>Annual trends</title>
      <p id="d1e3374">Figure 5 shows the annual trends in the concentrations of EC, OC, TC
(EC<inline-formula><mml:math id="M259" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>OC), WSOC, and WSOC <inline-formula><mml:math id="M260" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> OC ratios during the period of 2001–2012
over the western North Pacific (see Fig. S2 for annual mean variations).
Table 3 summarizes the results of the statistical analyses. All the annual
trends of chemical species and WSOC <inline-formula><mml:math id="M261" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> OC ratios seem to present clear
seasonal patterns with higher values in winter–spring and lower values in
summer. On the other hand, seasonal variations of the OC <inline-formula><mml:math id="M262" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC and
nss-K<inline-formula><mml:math id="M263" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M264" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC ratios showed higher values in summer.</p>
      <p id="d1e3422">As seen from Fig. 5a–b and Table 3, concentrations of EC, OC, and TC during
2001–2012 ranged from 0.001 to 0.36 <inline-formula><mml:math id="M265" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math id="M266" 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> (mean:
0.142 <inline-formula><mml:math id="M267" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math id="M268" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, 0.25 to 1.7 <inline-formula><mml:math id="M269" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math id="M270" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
(0.76 <inline-formula><mml:math id="M271" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math id="M272" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and 0.28 to 2.01 <inline-formula><mml:math id="M273" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math id="M274" 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>
(0.90 <inline-formula><mml:math id="M275" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>g m<inline-formula><mml:math id="M276" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, respectively. The annual variations of EC
showed a decreasing trend (<inline-formula><mml:math id="M277" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.007 % yr<inline-formula><mml:math id="M278" 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>), while OC and TC trends
are continuously increasing (<inline-formula><mml:math id="M279" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.16 and
<inline-formula><mml:math id="M280" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.11 % yr<inline-formula><mml:math id="M281" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, respectively) from 2001 to 2012 although the rates
were not significant (<inline-formula><mml:math id="M282" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula>). However, the annual trends of OC <inline-formula><mml:math id="M283" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC
and OC <inline-formula><mml:math id="M284" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> TC ratios increased significantly (<inline-formula><mml:math id="M285" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula>;
<inline-formula><mml:math id="M286" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.46 and <inline-formula><mml:math id="M287" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.06 % yr<inline-formula><mml:math id="M288" 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> from 2001 to 2012
(Fig. 5d and e), suggesting that the contribution of primary fossil fuel
combustion to carbonaceous aerosols has declined during the sampling period.
This point is supported by the annual trend of nss-K<inline-formula><mml:math id="M289" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M290" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC mass
ratios, which showed a significant increase (<inline-formula><mml:math id="M291" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula>;
<inline-formula><mml:math id="M292" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.33 % yr<inline-formula><mml:math id="M293" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> during the sampling period (Fig. 5g). This
observation is consistent with the study of Verma et al. (2015), who observed
a significant enhancement of levoglucosan (a good biomass burning tracer,
e.g., Simoneit, 2002) during 2006–2013 over the sampling site. Therefore,
all these results demonstrate that the contributions of biomass burning
emissions to carbonaceous aerosols have increased significantly over the
western North Pacific whereas the contributions of fossil fuel combustion
have decreased.</p>
      <p id="d1e3714">Previous studies suggested that SOA is largely composed of water-soluble
organic matter (Weber et al., 2007; Kondo et al., 2007). In this study, the
annual trend of WSOC showed a significant increase (<inline-formula><mml:math id="M294" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M295" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05;
<inline-formula><mml:math id="M296" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.18 % yr<inline-formula><mml:math id="M297" 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> from 2001 to 2012 (Fig. 5c). Generally, atmospheric
aging makes aerosols more water-soluble during long-range transport (Aggarwal
and Kawamura, 2009; Rudich et al., 2007; Robinson et al., 2007; Jimenez et
al., 2009; Kawamura et al., 2010), especially in the remote marine atmosphere
(Kawamura et al., 2003). This point is further supported by a decadal
increase (<inline-formula><mml:math id="M298" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.08 % yr<inline-formula><mml:math id="M299" 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 the WSOC <inline-formula><mml:math id="M300" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> OC ratios (Fig. 5f).
These results may demonstrate that the increased concentrations of WSOC over
the western North Pacific are significantly linked with increased
photochemical aging of organic aerosols and oxidation of various VOCs during
long-range atmospheric transport (Zhang et al., 2007; Decesari et al., 2010).
An increasing trend of WSOC <inline-formula><mml:math id="M301" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> TC (<inline-formula><mml:math id="M302" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M303" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05;
<inline-formula><mml:math id="M304" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.15 % yr<inline-formula><mml:math id="M305" 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>; Table 3) again suggests that photochemical
formation of WSOC and its contributions to SOA have increased over the
western North Pacific during 2001–2012. We observed an abrupt decrease in
the WSOC <inline-formula><mml:math id="M306" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> OC ratios between 2007 and 2008 (Fig. 5f), probably due to
enhanced OC that may be caused by unknown sources. However, it should be
noted that an observed decline in the WSOC <inline-formula><mml:math id="M307" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> OC ratios does not affect
the decadal trend even if those data are excluded from the trend analysis.</p>
      <p id="d1e3838">To better understand the contributions of photochemical oxidation of biogenic
VOCs to WSOC during long-range atmospheric transport, we present the annual
trend of water-soluble organic ion, i.e., MSA<inline-formula><mml:math id="M308" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> (a biogenic tracer; see
Fig. 5h). In our previous study (Boreddy and Kawamura, 2015), we reported
that MSA<inline-formula><mml:math id="M309" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> significantly correlates with continental pollutants such as
NH<inline-formula><mml:math id="M310" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M311" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.56</mml:mn></mml:mrow></mml:math></inline-formula>), nss-K<inline-formula><mml:math id="M312" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> (0.52) and nss-SO<inline-formula><mml:math id="M313" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> (0.50) and
no correlation with Na<inline-formula><mml:math id="M314" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>, suggesting that continentally derived MSA<inline-formula><mml:math id="M315" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula>
may be associated with the terrestrial higher plants and other biogenic
sources along with Asian pollutants during the long-range transport. However,
we should not ignore the oceanic biogenic emissions, especially in summer
(Bikkina et al., 2014), although it has less abundance compared to
continental biogenic emissions over the western North Pacific. In this study,
the annual trend of MSA<inline-formula><mml:math id="M316" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> showed a significant increase (<inline-formula><mml:math id="M317" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M318" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05;
<inline-formula><mml:math id="M319" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>0.14 % yr<inline-formula><mml:math id="M320" 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> during 2001–2012, implying that continental
transport of biogenic VOCs (BVOCs) over the western North Pacific have
increased significantly during 2001–2012.</p>

      <?xmltex \floatpos{t}?><?pagebreak page1300?><fig id="Ch1.F6" specific-use="star"><caption><p id="d1e3975">Regression analyses between <bold>(a)</bold> WSOC and MODIS-derived cloud
condensation nuclei (CCN), <bold>(b)</bold> sea salt and CCN, <bold>(c)</bold> WSOC <inline-formula><mml:math id="M321" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> sea salt and CCN,
and <bold>(d)</bold> WSOC and sea salt concentrations over the western North Pacific.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/1291/2018/acp-18-1291-2018-f06.png"/>

        </fig>

      <p id="d1e4003">Zhang et al. (2016) reported an increase (from 132 000 to
175 000 t yr<inline-formula><mml:math id="M322" 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 the emission of isoprene in northern China during
1982–2010 using an emission model. Based on strong correlations (<inline-formula><mml:math id="M323" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">0.90</mml:mn></mml:mrow></mml:math></inline-formula>) between isoprene and above-canopy temperature, they
suggested that oxidations of biogenic BVOCs from the terrestrial higher
plants are important in Asia (especially in China). Since Chichijima is an
outflow region of East Asia, long-range atmospheric transport of BVOCs may be
possible from terrestrial higher plants in Asia/China to the western North
Pacific by westerly winds, which may significantly contribute to the enhanced
trends of OC and WSOC during 2001–2012. We found significant (<inline-formula><mml:math id="M324" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula>)
increases in the annual trends of methylglyoxal and pyruvic acid, which are
tracers of aqueous-phase oxidation of biogenic isoprene (Carlton et al.,
2009), over the western North Pacific as shown in Fig. S3. We also found a
moderate correlation (<inline-formula><mml:math id="M325" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.40</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M326" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula>) between of MSA<inline-formula><mml:math id="M327" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> and WSOC
concentrations (not shown as a figure). These results demonstrate that the
increase in WSOC is likely due to the increased photochemical oxidation of
BVOCs during long-range transport over the western North Pacific in addition
to the other emissions such as biomass burning.</p>
</sec>
<sec id="Ch1.S3.SS4">
  <title>Atmospheric implications</title>
      <p id="d1e4085">It is well known that atmospheric aerosols play a key role in the climate
system as they can act as cloud condensation nuclei (CCN) and impact on cloud
formation and thus radiative forcing (RF) (IPCC, 2013). The RF of aerosol is
generally estimated by using the aerosol optical depth (AOD), single-scattering albedo (SSA) and asymmetry parameter (Pani et al., 2016a). EC
scatters the shortwave incoming solar radiation less than OC, although it
strongly absorbs the shortwave solar radiation as well as longwave outgoing
terrestrial radiation in the atmosphere (Charlson et al., 1992; Ramanathan et
al., 2001; Magi, 2009, 2011). The SSA, defined as
the ratio of scattering to the extinction coefficient of aerosols, is an
important property for determining the direct RF (Pani et al., 2016a, b). The
SSA is highly sensitive to the nature (scattering and/or absorption) of
aerosols in the atmosphere. Therefore, although OC has certain uncertainty
because of light-absorbing brown carbon, OC <inline-formula><mml:math id="M328" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC ratios can be used to
understand the relative contributions of scattering or absorbing aerosols in
the atmosphere.</p>
      <p id="d1e4095">Further, a good knowledge of the OC <inline-formula><mml:math id="M329" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC ratios in aerosols (for example,
biomass burning) may also help to improve model representation of the
absorption caused by organic compounds constituting so-called brown carbon,
which contributes to the aerosol RF (Chung et al., 2012; Saleh et al., 2014;
Kirchstetter and Thatcher, 2012). In this study, atmospheric aging may make
OC more scattering during long-range transport over the western North
Pacific. An increasing trend of OC <inline-formula><mml:math id="M330" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC ratios suggests that scattering
aerosols are significantly increased over the western North Pacific. In
contrast, absorbing aerosols may be decreased during the study period. This
result may provide an important implication for radiative forcing because
scattering and absorption coefficients are playing crucial role in the
radiative forcing calculations as mentioned above.</p>
      <p id="d1e4112">Novakov and Corrigan (1996) found that pure organic components from biomass
smoke emissions can form cloud condensation nuclei (CCN) without the presence
of sulfate (SO<inline-formula><mml:math id="M331" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and other inorganic compounds. Roberts et
al. (2002) showed that biomass-burning-derived organic aerosols do serve as
CCN. Further, large loadings of CCN in continental air masses were observed
over the western North Pacific (Matsumoto et al., 1997; Boreddy et al.,
2015). In this study, the enhanced WSOC concentrations and WSOC <inline-formula><mml:math id="M332" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> OC
ratios in continental air masses suggest an important role of WSOC in CCN
activity over the western North Pacific in addition to other aerosol
constituents such as SO<inline-formula><mml:math id="M333" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> and sea salts. To better understand the
impact of WSOC on cloud-forming potential, we performed regression analyses
between WSOC, sea salt and CCN concentrations as shown in Fig. 6. CCN data
were downloaded from the MODIS satellite over the region
(140–145<inline-formula><mml:math id="M334" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E, 25–30<inline-formula><mml:math id="M335" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) in the western North Pacific for
the period of July 2002 to December 2012.</p>
      <p id="d1e4172">The above results showed significantly good correlations (<inline-formula><mml:math id="M336" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.61</mml:mn></mml:mrow></mml:math></inline-formula> and 0.64,
<inline-formula><mml:math id="M337" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula>) between WSOC versus CCN and sea salt versus CCN concentrations
(Fig. 6a and b), suggesting the importance of WSOC for the formation of CCN
over the western North Pacific in addition to sea salt. Further, the
correlation coefficient between sea salt and CCN concentrations was slightly
increased (<inline-formula><mml:math id="M338" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.68</mml:mn></mml:mrow></mml:math></inline-formula>; <inline-formula><mml:math id="M339" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula>) when WSOC was added to the sea salt as shown
in Fig. 6c. Likely, the slope of the regression line between WSOC <inline-formula><mml:math id="M340" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> sea
salt and CCN was little higher (2.21E7) than the slope between sea salt and
CCN (2.19E7). These results indicate that WSOC may slightly enhance the cloud-forming potential of sea salt, although it has less concentration over the
western North Pacific. All these results suggest that a significant
uncertainty exists in RF due to the contribution of water-soluble organic
matter to cloud forming. Therefore, climate modelers should consider WSOC in
addition to other factors (sea salts, sulfate, etc.), while calculating RF
over the western North Pacific. This point is consistent with the previous
studies, which explain the contribution of water-soluble organic matter to
CCN (Matsumoto et al., 1997; Zhao et al., 2016).</p>
      <?pagebreak page1301?><p id="d1e4231">It should be noted that all these ratios are applicable to organic fractions
that are derived from the bulk parameters only; however, the size of particles also plays a role in RF as well as their morphology, chemical
composition and mixing state (Jacobson, 2001; Lohmann and Feichter, 2005;
R. Zhang et al., 2008). Although fine particles are important for CCN
activation, physico-chemical processes (coagulation, condensation and other
heterogeneous reactions) can make the particles from fine to coarse mode in
aqueous phase, particularly over the marine atmosphere. Thus, bulk parameters
of organic matter and its role in CCN activation are important in the remote
marine atmosphere. Sea spray is not a major source of WSOC as inferred from
Fig. 6d, which showed a moderate correlation (<inline-formula><mml:math id="M341" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.42</mml:mn></mml:mrow></mml:math></inline-formula>; <inline-formula><mml:math id="M342" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">0.05</mml:mn></mml:mrow></mml:math></inline-formula>) between
WSOC and sea salt during the study period. In this study, atmospheric
processes or chemical aging makes OC more water-soluble during long-range
transport over the western North Pacific as discussed in Sect. 3.2.</p>
</sec>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <title>Conclusions</title>
      <p id="d1e4265">Based on the long-term (2001–2012) trends of carbonaceous aerosols from
Chichijima in the western North Pacific, we conclude that seasonal
variations of carbonaceous aerosols strictly followed seasonal trends of wind
pattern at Chichijima in the western North Pacific. The annual trends of OC
and WSOC with significant increases over the western North Pacific are
probably due to the enhanced photochemical oxidation of biomass burning- and
biogenic-derived VOCs during long-range atmospheric transport over the
western North Pacific. This inference is supported by significant increases
in the annual trends of OC <inline-formula><mml:math id="M343" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC, WSOC <inline-formula><mml:math id="M344" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> OC, OC <inline-formula><mml:math id="M345" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> TC,
WSOC <inline-formula><mml:math id="M346" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> TC, nss-K<inline-formula><mml:math id="M347" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M348" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> EC mass ratios and MSA<inline-formula><mml:math id="M349" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> concentrations.
On the other hand, a decrease in the concentrations of EC during 2001–2012
suggests that the contribution of fossil-fuel-derived sources to carbonaceous
aerosols may be decreased over the western North Pacific. Further, a good
correlation (<inline-formula><mml:math id="M350" display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.61</mml:mn></mml:mrow></mml:math></inline-formula>) between WSOC and CCN concentrations suggests that not
only sea salt and nss-SO<inline-formula><mml:math id="M351" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> but also water-soluble organic aerosols
play a role in CCN formation. Therefore, the results from our study have
important implications toward the regional radiative balance, especially over
the North Pacific.</p>
</sec>

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

      <p id="d1e4354">The MODIS fire data used in this study were acquired as
part of NASA's Earth Science Enterprise (<uri>https://firms.modaps.eosdis.nasa.gov</uri>). Air mass back trajectories are
downloaded from the NOAA-ARL website (<uri>http://www.arl.noaa.gov</uri>). The data used in this paper are
available upon the request to the corresponding author
(kkawamura@isc.chubu.ac.jp).</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e4363"><bold>The Supplement related to this article is available online at <inline-supplementary-material xlink:href="https://doi.org/10.5194/acp-18-1291-2018-supplement" xlink:title="pdf">https://doi.org/10.5194/acp-18-1291-2018-supplement</inline-supplementary-material>.</bold></p></supplementary-material>
        </app-group><notes notes-type="competinginterests">

      <p id="d1e4369">The authors declare that they have no conflict of
interest.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e4375">This work was supported by grants from the Japan Society for the
Promotion of Science (JSPS, grants-in-aid nos. of 1920405 and 24221001). We
are grateful for the financial support from the JSPS fellowship (ID no. PU16905) to
Suresh K. R. Boreddy. The
authors wish to thank the data distribution centers for their support. The
authors also wish to thank the co-editor of the journal and the two anonymous
reviewers for their constructive and useful comments, which improved the
scientific content of the original paper.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?> Edited by:
Stefania Gilardoni<?xmltex \hack{\newline}?> Reviewed by: two anonymous referees</p></ack><ref-list>
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    <!--<article-title-html>Long-term (2001–2012) trends of carbonaceous aerosols from a remote island in the western North Pacific: an outflow region of Asian pollutants</article-title-html>
<abstract-html><p class="p">The present study reports on long-term trends of carbonaceous aerosols in
total suspended particulate (TSP) samples collected at Chichijima in
the western North Pacific during 2001–2012. Seasonal variations of elemental
carbon (EC), organic carbon (OC), and water-soluble organic carbon (WSOC)
concentrations showed maxima in winter to spring and minima in summer. These
seasonal differences in the concentrations of carbonaceous aerosols were
associated with the outflows of polluted air masses from East Asia, which are
clearly distinguishable from pristine air masses from the central Pacific.
The higher concentrations of carbonaceous aerosols during winter to spring
are associated with long-range atmospheric transport of East Asian
continental polluted air masses, whereas lower concentrations may be due to
pristine air masses from the central Pacific in summer. The annual trends of
OC ∕ EC (+0.46 % yr<sup>−1</sup>), WSOC (+0.18 % yr<sup>−1</sup>) and
WSOC ∕ OC (+0.08 % yr<sup>−1</sup>) showed significant (<i>p</i>  &lt;  0.05)
increases during the period of 2001–2012, suggesting that photochemical
formation of WSOC and its contributions to secondary organic aerosols (SOAs)
have increased over the western North Pacific via long-range atmospheric
transport. We found a significant increase (+0.33 % yr<sup>−1</sup>) in
nss-K<sup>+</sup> ∕ EC ratios, demonstrating that concentrations of
biomass-burning-derived carbonaceous aerosols have increased, while those of
primary fossil-fuel-derived aerosols have decreased over the western North
Pacific. Further, secondary biogenic emissions are also important over the
western North Pacific as inferred from a significant increase
(+0.14 % yr<sup>−1</sup>) in the concentrations of methanesulfonate
(MSA<sup>−</sup>, a tracer for biogenic sources). This point was further supported
by a moderate correlation (<i>r</i> = 0.40) between WSOC and MSA<sup>−</sup>. We also
found a significant increase in OC ∕ TC (total carbon) and WSOC ∕ TC
ratios, further suggesting that photochemical formation of WSOC and its
contributions to SOAs have increased over the western North Pacific during
2001–2012 via long-range atmospheric transport from East Asia.</p></abstract-html>
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