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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-16-14795-2016</article-id><title-group><article-title>Regional and local variations in atmospheric aerosols using ground-based sun photometry
during Distributed Regional Aerosol Gridded Observation Networks (DRAGON) in 2012</article-title>
      </title-group><?xmltex \runningtitle{Regional and local variation of aerosols in Japan}?><?xmltex \runningauthor{I. Sano et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Sano</surname><given-names>Itaru</given-names></name>
          <email>sano@info.kindai.ac.jp</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Mukai</surname><given-names>Sonoyo</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Nakata</surname><given-names>Makiko</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Holben</surname><given-names>Brent N.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-1251-9809</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Faculty of Science and Engineering, Kindai University, Higashi-Osaka, Japan</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>REESIT, The Kyoto College of Graduate Studies for Informatics, Kyoto, Japan</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Faculty of Applied Sociology, Kindai University, Higashi-Osaka, Japan</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>NASA Goddard Space Flight Center, Greenbelt, MD, USA</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Itaru Sano (sano@info.kindai.ac.jp)</corresp></author-notes><pub-date><day>28</day><month>November</month><year>2016</year></pub-date>
      
      <volume>16</volume>
      <issue>22</issue>
      <fpage>14795</fpage><lpage>14803</lpage>
      <history>
        <date date-type="received"><day>6</day><month>May</month><year>2016</year></date>
           <date date-type="rev-request"><day>9</day><month>June</month><year>2016</year></date>
           <date date-type="rev-recd"><day>9</day><month>October</month><year>2016</year></date>
           <date date-type="accepted"><day>29</day><month>October</month><year>2016</year></date>
      </history>
      <permissions>
<license license-type="open-access">
<license-p>This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/3.0/">http://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
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</permissions><self-uri xlink:href="https://acp.copernicus.org/articles/16/14795/2016/acp-16-14795-2016.html">This article is available from https://acp.copernicus.org/articles/16/14795/2016/acp-16-14795-2016.html</self-uri>
<self-uri xlink:href="https://acp.copernicus.org/articles/16/14795/2016/acp-16-14795-2016.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/16/14795/2016/acp-16-14795-2016.pdf</self-uri>


      <abstract>
    <p>Aerosol
mass concentrations are affected by local emissions as well as
long-range transboundary (LRT) aerosols. This work investigates regional and
local variations of aerosols based on Distributed Regional Aerosol Gridded
Observation Networks (DRAGON). We constructed DRAGON-Japan and DRAGON-Osaka in
spring of 2012. The former network covers almost all of Japan in order to
obtain aerosol information in regional scale over Japanese islands. It was
determined from the DRAGON-Japan campaign that the values of aerosol optical
thickness (AOT) decrease from west to east during an aerosol episode. In
fact, the highest AOT was recorded at Fukue Island at the western end of the
network, and the value was much higher than that of urban areas. The latter
network (DRAGON-Osaka) was set as a dense instrument network in the
megalopolis of Osaka, with a population of 12 million, to better understand
local aerosol dynamics in urban areas.</p>
    <p>AOT was further measured with a mobile sun photometer attached to a car. This
transect information showed that aerosol concentrations rapidly changed in
time and space together when most of the Osaka area was covered with moderate
LRT aerosols. The combined use of the dense instrument network (DRAGON-Osaka)
and high-frequency measurements provides the motion of aerosol advection,
which coincides with the wind vector around the layer between 700 and 850 hPa
as provided by the reanalysis data of the National Centers for Environmental
Prediction (NCEP).</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>Aerosol data are important indications of the atmospheric environment.
Aerosol controls the radiation balance by a light-scattering and absorption
process of incident solar radiation. Some types of aerosol indirectly
contribute to the balance through the transformation of aerosols into cloud
condensation nuclei <xref ref-type="bibr" rid="bib1.bibx10" id="paren.1"/>. The aerosols affect daily local air
quality, i.e., visibility and concentrations of <inline-formula><mml:math display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn>2.5</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn>10</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>. <xref ref-type="bibr" rid="bib1.bibx29" id="text.2"/> have investigated the relationship
between mortality and long-term exposure to <inline-formula><mml:math display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn>2.5</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>. They pointed out
that long-term exposure of more than 11 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> of
<inline-formula><mml:math display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn>2.5</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> led to a definite increase in cardiovascular disease that
increased mortality rates. The study was performed with a regional PM dataset
derived from the Sea-viewing Wide Field-of-view Sensor (SeaWiFS), the
Moderate Resolution Imaging Spectroradiometer (MODIS), and the Multi-angle
Imaging Spectroradiometer (MISR) measurements and/or combination analyses of
the Goddard Earth Observing System (GEOS)-Chem chemical transport model
<xref ref-type="bibr" rid="bib1.bibx28" id="paren.3"/>. Estimations of <inline-formula><mml:math display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn>2.5</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> based on satellite data
require accurate derivations of the vertical profile of aerosol optical
thickness (AOT) with fine spatial resolution. Nevertheless, current
algorithms for space-based aerosol retrieval are not suitable to resolve this
issue because they are tuned for analysis on a global scale, and they
sometimes result in a large number of uncertainties not only for a very
bright target but also for a complex mixture such as an urban area.</p>
      <p><?xmltex \hack{\newpage}?>In the early 1990s, the Aerosol Robotic Network (AERONET) <xref ref-type="bibr" rid="bib1.bibx8" id="paren.4"/>
was established to support the validation of aerosol products by NASA's
EOS-MODIS (Terra) and MODIS (Aqua) missions <xref ref-type="bibr" rid="bib1.bibx13" id="paren.5"/>. The AERONET
program measures AOT from UV to near infrared with high accuracy. The final
accuracy of AOT measurements is less than 0.01 at visible and near-infrared
wavelengths, which is achieved by the AERONET standard procedure. The
procedure includes many stages, e.g., pre- and post-field calibrations, cloud
screening, and interference filter management. Although automatic cloud
screening is performed with short and long temporal variations in AOT
measurements <xref ref-type="bibr" rid="bib1.bibx24" id="paren.6"/>, all measurements are reprocessed with
post-field calibration constants and inspected by AERONET team members,
forming a Level 2.0 product. It includes the optical and microphysical
properties of aerosols <xref ref-type="bibr" rid="bib1.bibx3" id="paren.7"/>. <xref ref-type="bibr" rid="bib1.bibx4" id="text.8"/> provided a
climatology dataset of global aerosol characteristics, and the categorized
results of the characteristics are presented by <xref ref-type="bibr" rid="bib1.bibx17" id="text.9"/>. The
compiled results of aerosol information are useful for the preparation of a
look-up table on aerosol retrieval procedures from satellite measurements.
There are currently around 400 sites collecting aerosol measurements around
the world. However, most of the AERONET site is representative of a targeted
area. This deployment style would not provide sufficient measurements for
future aerosol retrieval algorithms <xref ref-type="bibr" rid="bib1.bibx14" id="paren.10"/>, such as
extracting aerosol properties with fine resolution or vertical distribution,
and considering a mixture of ground conditions. In order to apply these
requirements, the AERONET group has embarked on a special campaign to deploy
many AERONET instruments in a specific area, which is called Distributed
Regional Aerosol Gridded Observation Networks (DRAGON). The DRAGON style
measurements contribute not only to developing and validating satellite
aerosol retrieval algorithms but also to validating the aerosol transport
simulation, e.g., the GEOS-Chem <xref ref-type="bibr" rid="bib1.bibx2 bib1.bibx15" id="paren.11"/>, the Weather
Research and Forecasting (WRF)-Chem <xref ref-type="bibr" rid="bib1.bibx6" id="paren.12"/>, and Spectral
Radiation-Transport Model for Aerosol Species (SPRINTARS)
<xref ref-type="bibr" rid="bib1.bibx27" id="paren.13"/>.</p>
      <p>The first DRAGON was created in the Washington, D.C.–Baltimore region in 2011
<xref ref-type="bibr" rid="bib1.bibx9" id="paren.14"/>. In spring of 2012, DRAGON-Japan and DRAGON-Korea were formed.
This work describes regional and local variations of aerosols and also the
behavior of transboundary aerosols based on two kinds of ground measurements
in a large gridded network (DRAGON-Japan) and a small one (DRAGON-Osaka).</p>
</sec>
<sec id="Ch1.S2">
  <title>DRAGON-Japan</title>
<sec id="Ch1.S2.SS1">
  <title>Background of DRAGON-Japan</title>
      <p>Figure 1 shows the daily average values of AOT at a wavelength of 500 nm and
the Ångström exponent (AE) over the AERONET Osaka station from 2001 to
2014. AE is the wavelength tendency of spectral AOT in log scale. Wavelengths
of 440 and 870 nm were adopted for derivation of standard AERONET AE. AE is
an index of the size of particles. Small particles – e.g., carbonaceous,
sulfuric, and other anthropogenic particles – have high AEs <xref ref-type="bibr" rid="bib1.bibx5" id="paren.15"/>.
The color of dots in the figure represents four-season data classified as gray
for winter (DJF; December, January, February), orange for spring (MAM; March,
April, May), green for summer (JJA; June, July, August), and blue for autumn
(SON; September, October, November). The AOT–AE relationship
shows that aerosols over Osaka for all seasons widely scatter the AOT–AE plane.
However, the largest variation including high-AOT–low-AE relationship appears
in spring (orange dots). Also those spring measurements take the low AE value
rather than the annual average (black filled circle). <xref ref-type="bibr" rid="bib1.bibx18" id="text.16"/> presented the
AOT–AE relationship found in results of aerosol measurements in the spring of
2001. At that time, high-AOT, low-AE events were frequently measured at
several places in Japan due to Asian dust events; long-term measurements
imply the causal feature of this relationship is the dust event. The figure
also shows the high-AOT, high-AE measurements frequently appear in summer
(green dots).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><caption><p>Scattergram of daily average aerosol optical thickness (AOT) at
500 nm and Ångström exponent (440 and 870 nm) over the AERONET Osaka
(34.6<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 135.6<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E) station in Japan from 2001 to 2014. The
colors gray, orange, green, and blue represent the measurements of each
season as winter (DJF: December, January, February), spring (MAM: March,
April, May), summer (JJA: June, July, August), and autumn (SON: September,
October, November), respectively. Black filled circle denotes the annual
average. Daily climatology data were processed by the AERONET project
(<uri>http://aeronet.gsfc.nasa.gov/</uri>).</p></caption>
          <?xmltex \igopts{width=184.942913pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/14795/2016/acp-16-14795-2016-f01.pdf"/>

        </fig>

      <p>With respect to aerosols in summertime, we assume the following three
conditions: a high oxidant (O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula>) level from local and transboundary
emissions, high temperature, and strong solar incident light, which may
affect the increase in the conversion process of secondary organic aerosols
(SOAs) from volatile organic compounds (VOCs) through the photochemical
process <xref ref-type="bibr" rid="bib1.bibx16" id="paren.17"/>. SOAs are also known as <inline-formula><mml:math display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn>2.5</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>
particles <xref ref-type="bibr" rid="bib1.bibx7" id="paren.18"/>, which have a high AE. In fact, high values of
O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> are recorded at many environmental monitoring stations
<xref ref-type="bibr" rid="bib1.bibx1" id="paren.19"/>. AEROS presents high concentrations of O<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mi>x</mml:mi></mml:msub></mml:math></inline-formula> in April and
May that subsequently decrease in June and July. This suggests that other
reasons explain the relationship of high-AOT–high-AE in summer in Japan.
<xref ref-type="bibr" rid="bib1.bibx12" id="text.20"/> have reported that events of high concentrations of
suspended particulate matter (SPM) occurred through the stagnation of air
exchange in Tokyo due to topography and the seasonal rain front (called the
Baiu front in Japan). Thus, high values of AOT and AE are realized in
Japanese summers. It is possible that spring is the best season to
investigate long-range transboundary (LRT) aerosols, including anthropogenic
particles and Asian dusts.</p><?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S2.SS2">
  <title>Observations during DRAGON-Japan</title>
      <p>Figure 2 represents the instrument setting during DRAGON-Japan. As mentioned
above, the objective of DRAGON-Japan is to investigate LRT aerosols from the
Asian continent. Thus, most instruments are set from the western to the
middle region of Japan. The National Institute of Environmental Studies
(NIES) has been operating the Asian Dust and aerosol lidar observation
Network (AD-Net) lidar at Fukue Island, Fukuoka, Matsue, Osaka, and Tsukuba
to monitor the dust transportation <xref ref-type="bibr" rid="bib1.bibx26 bib1.bibx19 bib1.bibx22" id="paren.21"/>. Thus, the DRAGON-Japan instruments were colocated near the
position of AD-Net lidar. In Fig. 2, open circles indicate the positions of
both AERONET and lidar instruments during the DRAGON period. The lidar gives
attenuated backscatter coefficients of 532 and 1064 nm as well as a
depolarization ratio at the 532 nm channel. <xref ref-type="bibr" rid="bib1.bibx21" id="text.22"/> successfully
delineated two components of the extinction profile as sphere and non-sphere
(dust aerosols) using the lidar measurements. In addition, filled circles in
Fig. 2 represent the deployment of an AERONET instrument alone.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2"><caption><p>Geographical positions of observational sites for DRAGON-Japan in
spring of 2012.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/14795/2016/acp-16-14795-2016-f02.pdf"/>

        </fig>

      <p>Figure 3 shows a time series of hourly average AOT at 500 nm during
DRAGON-Japan. The results from Matsue have been discarded because there were
an insufficient number of measurements compared to other locations due to
system problems with the satellite transmitter during the period. In
addition, results from Chiba and Kohriyama were also eliminated because
average AOT values were similar to Tsukuba. Each average value of AOT and its
standard deviation are represented by a red line with a value and gray
shading, respectively. The maximum average AOT was recorded at Fukue Island,
which is located in the East China Sea (see Fig. 2). Also, the variation of
AOT at Fukue is larger than at the other sites. The local emissions would
seem to be small on Fukue Island due to a population of only 37 000.
Moreover, the measurements were taken at the Fukue aerosol observatory on the
peninsula northwest of the island, which is far from the center of town.
Therefore, it is natural to consider that the large values of AOT at Fukue
represent the dense LRT haze over the entire island. Note that the lowest
value denoted by a blue line around 0.1–0.2 might be the usual local AOT
value at all sites. Fukuoka is a million-person city, which releases a large volume
of local emissions. However, two higher values in the middle of April and May
imply the results of influence by transported aerosols. This fact is also
seen in the sites of Nishi-Harima and Noto, which are located far from large
cities in Japan. It might be caused by the influence of LRT aerosols over the
Sea of Japan. Even those locations exhibit values of AOT similar to Tsukuba,
where the AOT level is most likely affected by emissions from the Tokyo area.
It is clear in Fig. 3 that the AOT value at Osaka is rather high compared to
the AOT trend with longitude. The Osaka megalopolis emits huge amounts of air
pollution, and hence the AOT has a higher value due to the mixture of local
emissions with LRT aerosols, which is explored in more depth in the following
section.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><caption><p>Temporal variation of AOT at a wavelength of 500 nm during the
DRAGON-Japan period. Measurements were taken at Fukue Island, Fukuoka,
Nishi-Harima, Osaka, Noto, and Tsukuba (see Fig. 2). The error bars (shaded
gray) represent standard deviation at each site. Red lines represent average
values at each site.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/14795/2016/acp-16-14795-2016-f03.pdf"/>

        </fig>

<?xmltex \hack{\newpage}?>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>DRAGON-Osaka</title>
<sec id="Ch1.S3.SS1">
  <title>Observations during DRAGON-Osaka</title>
      <p>Figure 4 shows an enlarged area of DRAGON-Osaka, as shown in Fig. 2. A small
gridded AERONET sun–sky radiometer network was set from March to May of 2012
in the Osaka metropolitan area. It involved Kobe, Kyoto, Nara, and other
cities, and the region is the second-most-populated area in Japan, with a
population of 12 million people (see Fig. 4). Aerosol retrieval over this
region from a satellite is difficult, although the AERONET sun–sky radiometer
has been set since autumn 2001. In fact, MODIS Level 2 aerosol products
(MxD04s) sometimes do not provide us with aerosol information from this area.
This might be due to such issues as too bright a target, a complex mixture of
ground conditions, validation data from only a specific place (AERONET Osaka
site), and so on. The first issue occurs by miss-reorganization as a cloudy
area. The second issue is a more difficult problem. Land use in a Japanese
urban area is very complicated. Because most of Japan (80 %) is mountainous,
a majority of the population lives in flat areas. Thus, a pixel of a
satellite image may include many types of structures and various ground
conditions.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><caption><p>Site deployment during DRAGON-Osaka in spring 2012. Colored lines
indicate the path of transect measurements.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/14795/2016/acp-16-14795-2016-f04.pdf"/>

        </fig>

      <p><?xmltex \hack{\newpage}?>DRAGON-Osaka intends to provide local aerosol conditions for an algorithm
development of satellite data and an aerosol transport model
<xref ref-type="bibr" rid="bib1.bibx20" id="paren.23"/>. A better understanding of local variations in aerosol
properties is important for precise ground modeling. Therefore, the
DRAGON-Osaka project constructed a more dense sun–sky radiometer network
compared to other DRAGON projects. The AERONET Osaka site in Fig. 4 is a
steady site. Other sites (open circles) are temporary sites during the
DRAGON-Osaka campaign. Seven AERONET instruments were deployed in flat
locations in the Osaka region ([AERONET] Osaka, Kobe, Osaka-N[orth],
Osaka-C[enter], Osaka-S[outh], Kyoto, and Nara; characters in square brackets
will be omitted hereinafter). Two mountain sites were set in Mt. Rokko and
Mt. Ikoma, at around 790 and 640 m above sea level (a.s.l.), respectively. The
Kobe (Kobe Univ.) site faces Osaka Bay, Osaka-N (Kansai Univ.) is surrounded
by a residential area, and Osaka-C (Kimoto Electric Co.) is nearest to
downtown Osaka. The Osaka (Kindai Univ.) site is located in eastern Osaka
close to Mt. Ikoma. Mt. Ikoma is the boundary between Osaka and Nara
prefectures. The Osaka-S (Osaka Pref. Univ.) site is in the urban area and is
close to large industrial oil plants. The Kyoto site (Kyoto Univ.) is located
near the mountain yet is close to a busy section of Kyoto. The Nara site
(Nara Women Univ.) is in the center of Nara.</p>
      <p>In order to investigate the AOT measurements during DRAGON-Osaka, the
measurements are carefully selected from the AERONET Version 2 Level 2.0 dataset
with checks to detect cirrus cloud contamination by all-sky images, which
were taken every 2 min at the Osaka site. Some measurements are also
recovered by checking the images from Level 1 data. It should be noted that
the results from Nara are not included because the number of simultaneous
measurements was too small to compare with those of other sites. Figure 5
represents three kinds of daily average AOT (500 nm) during DRAGON-Osaka at
each site. The open squares denote the values under every condition, and gray
and light blue filled circles present high- and low-aerosol-loading cases,
respectively, where the threshold value of AOT for separation is 0.3. The
threshold value was selected with reference to the annual average of AOT
(<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.31) at a wavelength of 500 nm at the AERONET Osaka site from 2001 to
2014 in Fig. 1.</p>
      <p>In Fig. 5, the high-AOT group during DRAGON-Osaka is composed of measurements
taken on 17, 18, and 24 April and 5 May, and low AOT is observed in the results
of 14, 27, and 29 March and 27, 28, and 29 April. The measurements from 8,
9, 12, and 23 April  were treated with care because AOT values on those days changed
rapidly over time owing to the arrival of LRT aerosols over the target area.
These measurements were excluded from the two groups but were included in
average AOT results expressed by open squares.</p>
      <p>Local variation of AOT over the Osaka area is shown in Fig. 5. Simultaneous
measurements from DRAGON-Osaka deployment give a value of 0.03 at most for
the differences over all average cases and 0.04
for the high-AOT group. This result implies that local variation of AOT in the
Osaka area is not large (less than <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.04), even when including the LRT
aerosols. Note that the results of local variation of AOT are derived from
the measurements at lowland sites, i.e., Kobe, Osaka-North, Osaka-Center,
Osaka, Osaka-South, and Kyoto.</p>
      <p>DRAGON-Osaka covers a small area but includes a variety of observational
sites from sea level to mountains (Fig. 4). The effect of altitude on local
variation of AOT or AOT itself is taken into account by using two couples:
Kobe–Mt. Rokko (790 m a.s.l.) and Osaka–Mt. Ikoma (640 m a.s.l.). It is to be
expected that AOT at higher altitudes would have a lower value than that at
corresponding lowland sites, though the difference may not be great (see Fig. 5).</p>
      <p>Introducing <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">Δ</mml:mi></mml:math></inline-formula>AOT as sub-layer AOT values between sea level and
mountains gives <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">Δ</mml:mi></mml:math></inline-formula>AOT (Kobe) <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> AOT (Kobe) <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula> AOT (Mt. Rokko) and
<inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">Δ</mml:mi></mml:math></inline-formula>AOT (Osaka) <inline-formula><mml:math display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> AOT (Osaka) <inline-formula><mml:math display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula> AOT (Mt. Ikoma).
<inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">Δ</mml:mi></mml:math></inline-formula>AOT(Osaka) is slightly larger than <inline-formula><mml:math display="inline"><mml:mi mathvariant="normal">Δ</mml:mi></mml:math></inline-formula>AOT(Kobe) under clear
conditions (AOT <inline-formula><mml:math display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.3). This also reflects the local variation previously
discussed.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><caption><p>Daily average values of AOT (500 nm) at each site, classified into
three cases, namely turbid days (AOT <inline-formula><mml:math display="inline"><mml:mo>≥</mml:mo></mml:math></inline-formula> 0.3) denoted by solid gray
circles, moderate days (AOT <inline-formula><mml:math display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.3) by light blue circles, and the values
obtained during the DRAGON period by white squares. The error bars represent
the standard deviation.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/14795/2016/acp-16-14795-2016-f05.pdf"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS2">
  <title>Transect measurements</title>
      <p>The transect measurements of AOT were taken on 5 May 2012, during a short
Japanese vacation season and, thus, a period of low industrial activity.
Accordingly, our experimental results are expected to show LRT aerosols
rather than local emissions. The authors attempted to measure the spatial
variation of AOT measurements using a combination of a mobile sun photometer
(Solarlight Microtops-II (MT-2)) and a Honda S2000 convertible car. The
observed wavelengths of AOT measurements by MT-2 were the same as the AERONET
instrument at 380, 440, 500, 670, and 870 nm. Note that the calibration of
MT-2 was performed in February 2012 at NASA's Goddard Space Flight Center (GSFC) according to the Maritime
Aerosol Network (MAN) procedure <xref ref-type="bibr" rid="bib1.bibx25" id="paren.24"/>. A difficulty of on-board
measurements is targeting direct sunlight due to the movement of the car. In
order to avoid contaminating noise, two rules were employed: standard
deviation of signals, which is automatically recorded by MT-2, should take a
small value, and the variation of AE over a few minutes should also be
small.</p>
      <p>The AOT transect was obtained along the highway, as shown by several colors
in Fig. 4, which is divided into seven different colored legs along the roads
and five stops labeled L1 to L7 and S1 to S5, respectively. The measurements
of the stopping points (S1–S5) were taken at each location where the car was
parked, and where a highly accurate AOT was obtained because of the car being
still. The car was maintained at a speed of around 70–90 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">km</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">h</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in order to obtain accurate AOT measurements. The obtained
AOT (500 nm) values are presented in Fig. 6. The measurements in each leg are
shown by the same color circles as used in Fig. 4, and black filled circles
indicate the measurements at stopping points S1–S5.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6"><caption><p>The values of AOT (500 nm) measured with Microtops-II by car on
5 May. Each color of the filled circles represents the corresponding color of
the transect path in Fig. 4. The black filled circles indicate the
measurements of AOT at the stopping points, S1 to S5.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/14795/2016/acp-16-14795-2016-f06.pdf"/>

        </fig>

      <p>The car began at 09:20 LT (local time) from starting point L1 (northwest in the
Osaka area) and then traveled east and passed close to the Osaka-N site. The
magnitude of AOT (500 nm) gradually increased from <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.37 to <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.43
during the first 20 min. Then the car changed direction and traveled south
(L2). At L2 the AOT gradually decreased from <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.43 to <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.38. The
car passed through the nearest location of the Osaka site in L3. A comparison
of AOT by MT-2 with DRAGON-Osaka was performed when the distance between the
car and the site was within 1.5 km. The AOT values from MT-2 were 0.406 at
10:15:21 LT and 0.399 at 10:15:31 LT. The value of the Osaka site
measurement taken nearest to the time of the car measurements was 0.400 at
10:18:57 LT. The transect measurements during L3 coincided with the products
observed at the corresponding Osaka site. This demonstrates that our MT-2
measurements can be utilized to understand the aerosol condition of the Osaka
urban area.</p>
      <p>AOT gradually decreased along L4 and finally increased near the car stopping
point (S4) at Kansai International Airport (KIX). We recorded AOT values for
1 h with no car movement at KIX. The time series trend is nearly stable,
but we see gentle decreases during the period. On-board AOT values were low
and stable in L5, the same as at KIX. After the final stop of S5, MT-2's
internal memory was full, so the number of measurements was limited in L6 and
L7. However, we successfully measured an increase in AOT values from
<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.35 to <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.46 in L6 and a decrease to <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.33 in L7. This might
be due to dense aerosol that covers only a small region just over the
highway.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7"><caption><p>AOT (500 nm) measurements observed by DRAGON-Osaka sites on 5 May
2012.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/14795/2016/acp-16-14795-2016-f07.pdf"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8"><caption><p>Estimated aerosol optical thickness and attenuated backscatter
coefficient (top panel) and depolarization ratio (bottom panel) at 532 nm by
AD-Net lidar at the AERONET Osaka site on 5 May 2012. Solid and dashed lines
in the upper panel represent the AOT from the lidar site up to 6 km and that from
the site to up to 630 m.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/14795/2016/acp-16-14795-2016-f08.pdf"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><caption><p><bold>(a)</bold> Wind direction and speed at the 850 hPa level over
Japan at 15:00 LT (UTC <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> 9) on 5 May 2012, by NCEP; <bold>(b)</bold> wind
direction and speed at the 700 hPa level over Japan at 15:00 LT
(UTC <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> 9) on 5 May 2012, by NCEP.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/16/14795/2016/acp-16-14795-2016-f09.pdf"/>

        </fig>

      <p>At the same time the transect measurements are taken, the minute placement of
AERONET instruments also must present detailed aerosol information. Figure 7
shows AOT measurements that were observed by the DRAGON-Osaka network. The
measurements of Osaka-C, Osaka, and Osaka-S are plotted as thin-dotted, thin-solid,
and thin-dashed lines, respectively. Filled squares and open squares
represent the values of AOT that were taken at Kobe and Osaka-N sites. Blue
cross and red plus symbols show the results of two mountain sites at Mt. Rokko
(790 m a.s.l.) and Mt. Ikoma (640 m a.s.l.). Continuous measurements of
Osaka-C, Osaka, and Osaka-S were measured by the AERONET sun photometer in
high-frequency measurement mode, or the O'Neill mode (or turbo mode in the
new TS control box). Measurements were taken in approximately
3 min intervals. However, Kobe, Osaka-N, Mt. Rokko, and Mt. Ikoma sites did
not employ this continuous measurement scheme because of a different data
acquisition system. As seen when comparing Fig. 7 with Fig. 6 with respect to the Osaka
site, AOT variations from both the AERONET site and MT-2 coincided,
especially AOT peaks around 10:30–11:30 and 13:00–14:00 LT. This will be
discussed further in Sect. 4. In addition, the first AOT peak from L1
(purple) to L2 (blue) periods might be the aerosol plume that passed around
09:20 LT at the Osaka-N site.</p>
      <p>AOT measurements at the two mountain sites also detected high AOT values, and
differences in AOT between mountain sites and low-altitude sites (Mt. Rokko
and Kobe; Mt. Ikoma and Osaka) were not large (less than <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.08).</p>
</sec>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <title>Discussion and conclusions</title>
      <p>Two large AOT peaks, as seen in Fig. 7, were observed from 10:30 to 11:30 LT
(called event A hereinafter) and around 13:00–14:00 LT (event B), respectively.
Both events A and B during DRAGON-Osaka are good representatives of air mass
advection because the values of AOT were higher at all sites than the annual
average AOT at the AERONET Osaka site (see Fig. 1). Further, during events A
and B, AOT showed similar time variations at every location involved in the
DRAGON-Osaka project.</p>
      <p>Event A started a few minutes after 10:00 LT at all sites and continued
until 11:00 LT (see Fig. 7). It is noted that the Osaka site has shown
different behaviors from other sites; for example, there were explicitly
higher values and longer periods of high values than those at Osaka-C and
Osaka-S sites. To understand this difference in behavior, the colocated
AD-Net lidar system at the Osaka site is available. The lidar system provided us
with the vertical distribution of aerosols. Top and bottom panels of Fig. 8
show the time series of the attenuated backscatter ratio and depolarization
ratio, respectively, at a wavelength of 532 nm. The solid and dashed lines
on the top panel in Fig. 8 represent the temporal variation of two kinds of
AOT (532 nm) derived from the lidar extinction product
(<uri>http://www-lidar.nies.go.jp/Osaka/</uri>). Each line represents an AOT from
the lidar instrument position at 6 km and 630 m. These
results show that aerosol concentration below 630 m is almost constant when
compared to results from 6 km. The peaks of event A and event B correspond
to sun photometer results. Clearly, some differences exist between Figs. 7
and 8. However, we assume that the difference between AOT detected by the
AERONET Osaka instrument and that by lidar is mainly caused by the direction
of observation; i.e., the sun zenith angle of the sun photometer during the
time period around 11:00 LT was <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 21<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>, but lidar measures
zenith direction alone. It is possible to deduce from Fig. 8 that LRT
aerosols over Osaka are concentrated in the upper layer, higher than 600 m
altitude.</p>
      <p>With respect to event B, a similar trend of rapid increasing and decreasing of
AOT at all sites was found. It is noted that the up and down timing of AOT
was synchronized at Osaka-C, Osaka-S, and the Osaka site, but event B was
slightly delayed at the Osaka site. <xref ref-type="bibr" rid="bib1.bibx23" id="text.25"/> have pointed out
that LRT aerosols retain their concentrations more than local emissions even
after long-range transport based on autocorrelated analysis. It is possible
to say that these measurements indicate the movement of an air parcel involving
a dense concentration of aerosols. This fact coincided with measurements of
the depolarization ratio in the bottom panel of Fig. 8, which suggests the
existence of LRT dust concentration at that time.</p>
      <p>It is of interest that the behavior of AOT at the Osaka site differs slightly
from that at the Osaka-C and Osaka-S sites during both events A and B. From the
geographic map in Fig. 4, it is seen that the Osaka site is located in the
eastward direction from the Osaka-C and Osaka-S sites. The straight distance
between Osaka-C and the Osaka site is 5.8 (<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 6) km. An AOT value of 0.3450
was recorded at 13:15:56 LT at the Osaka-C site. Six minutes later, the
Osaka site provided 0.3464 of AOT at 13:21:56 LT. Therefore, it took 6 min
to travel from west to east at a rate of 16 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">m</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. This
assumption coincides with the reanalysis data by NCEP <xref ref-type="bibr" rid="bib1.bibx11" id="paren.26"/>.
Figure 9 shows the wind vector information over Japan at the 700 hPa level
at 15:00 LT (06:00 UTC) on 5 May 2012, by NCEP. The wind direction and
speed were eastward and around 16–18 <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> over the area.</p>
      <p>The variation in atmospheric aerosols on a regional and areal scale based on
DRAGON-Japan and DRAGON-Osaka experiments has been investigated in this work, and
the following conclusions have been drawn:
<list list-type="order"><list-item>
      <p>Long-range transported aerosols from the continent affect atmospheric
conditions in locations far from their origin. In fact, maximum AOT during
the DRAGON-Japan field campaign was measured at Fukue Island in a remote area
of Japan in the East China Sea.</p></list-item><list-item>
      <p>The AOT values along the Sea of Japan were high and equaled the values in
the suburbs of Tokyo. It might be expected that aerosol was transported over
the Sea of Japan.</p></list-item><list-item>
      <p>A dense instrument network reveals the magnitude and variation of local
aerosols in Osaka, which suggests that variation of AOT at a wavelength of
500 nm was <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.04 during the observation period. This is confirmed by the
altitude dependency of AOT.</p></list-item><list-item>
      <p>Both transect and DRAGON-Osaka measurements indicate that the distribution
of aerosol concentrations is not homogeneous even after transportation over a
few thousand kilometers. This suggests that ground remote sensing measurements should
be taken more frequently (like the turbo or O'Neill mode in AERONET) and that
satellite measurements should be provided at a finer resolution for
comparison with the ground-based measurements.</p></list-item><list-item>
      <p>The DRAGON style gridded deployment and high-frequency measurements
provide information not only on local aerosols but also on long transportation.
For example, it was found from DRAGON-Osaka that the transportation speed of
the upper aerosol layer coincides with NCEP wind speed.</p></list-item></list></p>
</sec>
<sec id="Ch1.S5">
  <title>Data availability</title>
      <p>All datasets are available from the corresponding author upon request.</p>
</sec>

      
      </body>
    <back><ack><title>Acknowledgements</title><p>First, the authors are grateful to all collaborators in DRAGON-Japan and
acknowledge NASA for the AERONET team and NIES lidar group for data
processing. The authors thank the two anonymous reviewers for their
valuable comments and suggestions on how to improve the manuscript. This work was
supported in part by the Global Change Observation Mission – Climate 1st
(GCOM-C1) project by JAXA (no. JX-PSPC-308878). This study was supported in
part by the Global Environment Research Fund of the Ministry of Environment,
Japan (S-12) and JSPS KAKENHI grant numbers 25340019 and 15K00528.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: M. Schulz<?xmltex \hack{\newline}?>
Reviewed by: two anonymous referees</p></ack><ref-list>
    <title>References</title>

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    <!--<article-title-html>Regional and local variations in atmospheric aerosols using ground-based sun photometry during Distributed Regional Aerosol Gridded Observation Networks (DRAGON) in 2012</article-title-html>
<abstract-html><p class="p">Aerosol
mass concentrations are affected by local emissions as well as
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local variations of aerosols based on Distributed Regional Aerosol Gridded
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megalopolis of Osaka, with a population of 12 million, to better understand
local aerosol dynamics in urban areas.</p><p class="p">AOT was further measured with a mobile sun photometer attached to a car. This
transect information showed that aerosol concentrations rapidly changed in
time and space together when most of the Osaka area was covered with moderate
LRT aerosols. The combined use of the dense instrument network (DRAGON-Osaka)
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