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  <front>
    <journal-meta>
<journal-id journal-id-type="publisher">AMT</journal-id>
<journal-title-group>
<journal-title>Atmospheric Measurement Techniques</journal-title>
<abbrev-journal-title abbrev-type="publisher">AMT</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Atmos. Meas. Tech.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1867-8548</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/amt-10-2313-2017</article-id><title-group><article-title>Development and validation of a CCD-laser aerosol detective system for
measuring the ambient aerosol phase function</article-title>
      </title-group><?xmltex \runningtitle{Development and validation of a CCD-laser aerosol detective system}?><?xmltex \runningauthor{Y. Bian et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Bian</surname><given-names>Yuxuan</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-5846-417X</ext-link></contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff2">
          <name><surname>Zhao</surname><given-names>Chunsheng</given-names></name>
          <email>zcs@pku.edu.cn</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Xu</surname><given-names>Wanyun</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Zhao</surname><given-names>Gang</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-7160-4600</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Tao</surname><given-names>Jiangchuan</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Kuang</surname><given-names>Ye</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-4813-9784</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, 100081, China</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, 100871, China</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>State Key Laboratory of Severe Weather &amp; Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy <?xmltex \hack{\break}?>
of Meteorological Sciences, Beijing, 100081, China</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Chunsheng Zhao (zcs@pku.edu.cn)</corresp></author-notes><pub-date><day>27</day><month>June</month><year>2017</year></pub-date>
      
      <volume>10</volume>
      <issue>6</issue>
      <fpage>2313</fpage><lpage>2322</lpage>
      <history>
        <date date-type="received"><day>28</day><month>November</month><year>2016</year></date>
           <date date-type="rev-request"><day>6</day><month>February</month><year>2017</year></date>
           <date date-type="rev-recd"><day>2</day><month>May</month><year>2017</year></date>
           <date date-type="accepted"><day>29</day><month>May</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://amt.copernicus.org/articles/10/2313/2017/amt-10-2313-2017.html">This article is available from https://amt.copernicus.org/articles/10/2313/2017/amt-10-2313-2017.html</self-uri>
<self-uri xlink:href="https://amt.copernicus.org/articles/10/2313/2017/amt-10-2313-2017.pdf">The full text article is available as a PDF file from https://amt.copernicus.org/articles/10/2313/2017/amt-10-2313-2017.pdf</self-uri>


      <abstract>
    <p>Aerosol phase function represents the angular scattering property of
aerosols, which is crucial for understanding the climate effects of aerosols
that have been identified as one of the largest uncertainties in the
evaluation of radiative forcing. So far, there is a lack of instruments with
which to measure the aerosol phase function directly and accurately in
laboratory studies and in situ measurements. A portable instrument with high
angular range and resolution has been developed for the measurement of the
phase function of ambient aerosols in this study. The charge-coupled
device-laser aerosol detective system (CCD-LADS) measures the aerosol phase
function both across a relatively wide angular range of 10–170<inline-formula><mml:math id="M1" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> and
at a high resolution of 0.1<inline-formula><mml:math id="M2" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>. The system includes a continuous laser,
two charge-coupled device cameras and the corresponding fisheye lenses. The
CCD-LADS was validated by both a laboratory study and a field measurement.
The comparison between the aerosol phase function retrieved from CCD-LADS and
Mie-scattering model shows good agreement. Compared with the TSI polar
nephelometer, CCD-LADS has the advantages of wider detection range and better
stability.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>The climate effect of aerosol optical properties is one of the greatest
uncertainties in our understanding of climate change (Pachauri et al., 2014).
Instruments such as the integrating nephelometer have often been used to
measure the aerosol scattering coefficient in laboratory studies and field
campaigns (Anderson et al., 1996; Heintzenberg and Charlson, 1996; Ma et al.,
2011; Müller et al., 2011; Tao et al., 2014). However, besides the total
scattering coefficient, the distribution of aerosol scattering at different
directions also has a significant impact on the direct climate effect of
aerosols (Kuang et al., 2015, 2016b). The aerosol phase function (<inline-formula><mml:math id="M3" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> is defined to describe the angular distribution of the
aerosol scattering intensity (van de Hulst, 1957). <inline-formula><mml:math id="M4" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula>
is one of the important properties determining the contribution of aerosols
to the radiative balance of the atmosphere (Andrews et al., 2006). Some
parameters such as the asymmetry parameter and the hemispheric backscatter
fraction estimated from <inline-formula><mml:math id="M5" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> are of great importance
to the retrieval of remote sensing measurements and in the simulation of
atmospheric radiative transfer models (Muñoz et al., 2002). If the
particle is assumed to be spherical, there is a comprehensive theory named
the “Mie scattering theory” which describes the characteristics of aerosol
scattering when the particle size is at the same scale as the wavelength of
scattering light (Bohren and Huffman, 2008). <inline-formula><mml:math id="M6" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> can
also be calculated with the size and complex refractive index of particles by
Mie scattering theory (Kim et al., 2010).</p>
      <p>In past years, different research groups have developed several versions of
polar nephelometers to measure how the scattering intensities of aerosol
particles, cloud droplets and ice crystals change with scattering angle.
Muñoz et al. (2001, 2010, 2011) mounted a photomultiplier tube (PMT) on a
mechanical arm which can rotate around a point on the laser light path in the
same plane with the laser beam to change the scattering angle of the signal
captured by the PMT. Castagner and Bigio (2006, 2007) focused the light
scattered at a single spot with different scattering angles to another single
spot by using two parabolic reflectors next to the light path. A plane mirror
was placed at that point to reflect the scattering signals with different
angles to a PMT by rotation. These two styles of instruments measured the
angular distribution of scattering signals by using the rotational mechanism.
This design will lead to an obvious uncertainty because the signals were not
measured simultaneously. Barkey et al. (2002, 2007) made the sample flow
perpendicular and intersected it with the light path. Then many PMTs were mounted
around the point of intersection in the same plane with the laser beam to
capture the scattering signal from different scattering angles. The signals
with different scattering angles were measured at the same time with this
design. However, the angular resolution which is limited to larger than
8<inline-formula><mml:math id="M7" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> per point is relatively low because the PMTs cannot be mounted too
close to each other. Curtis et al. (2007, 2008) used an elliptical mirror to
reflect the scattering light to a charge-coupled device (CCD) detector for
the detection of aerosol phase function. By using CCD as detector, this
method can offer a better angle and time resolution at a wider range of
scattering angles than the other methods above. It just needs one detector
and there is no need to move the detector during the measurement. However,
the structure of this design is too complicated to be used in field
measurements.</p>
      <p>Recently, McCrowey et al. (2013) developed a miniaturised polar nephelometer,
which can be used in the in situ measurement based on the techniques of
Curtis et al. (2007) and can then be calibrated in the laboratory using
polystyrene latex (PSL) standard particles. A comparison between the results
measured from this instrument and calculated from a Mie model showed a good
agreement. The detection range of this instrument is from 20 to 155<inline-formula><mml:math id="M8" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>
scattering angle. Besides these studies, the Aurora 4000 polar nephelometer
(Ecotech Pty Ltd., Australia) is currently the only commercial instrument
that can measure the aerosol phase function. This product has a structure
similar to that of the integrating nephelometer, while a backscatter shutter
that is able to be positioned at any angle between 10 and 90<inline-formula><mml:math id="M9" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> is mounted
in the cavity to help the nephelometer measuring the light scattering from
that angle through to 170<inline-formula><mml:math id="M10" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>. The Aurora 4000 can only measure the
aerosol phase function in a scattering angle range of 0–90<inline-formula><mml:math id="M11" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> for dry
aerosols. These two instruments can be used to measure the scattering phase
function of dry aerosols in in situ measurements.</p>
      <p>In this paper, a novel instrument named “charge-coupled device-laser aerosol
detective system” (CCD-LADS) based on the CCD imaging principle and the
optical structure of the fisheye lens is developed to measure the ambient
aerosol phase function in the field measurement at a wider range of
detection angles and a higher accuracy. The validation in both laboratory
and field measurement shows the ability of the CCD-LADS to measure the
aerosol phase function.</p>
</sec>
<sec id="Ch1.S2">
  <title>Instrumentation and methodology</title>
<sec id="Ch1.S2.SS1">
  <title>Design of the instrument</title>
      <p>The CCD-LADS includes several main components: a high-power continuous laser
emitter, two CCD cameras, optical filters and fisheye lenses. The laser and
CCD cameras are mounted on tripods and controlled by a laptop. Each
component is portable and on a scale of a few cubic decimetres.</p>
      <p>The emitting system of the CCD-LADS is mainly built with a solid continuous
laser emitter. Nd : YAG is used as the solid laser material as the
wavelength of the emitter is 532 nm. The transverse mode is near TEM00. The
M2 factor is less than 2.0 while the divergence of the beam is less than
2.0 mrad. The diameter at the aperture is 3.0 mm. The power of the laser is
1 W. To change the polarisation state of the laser from linear to circular,
a quarter-wave plate was mounted in front of the laser emitter. During the
exposure time (a few minutes) of the image, the circular-polarisation light can
be assumed to be unpolarised.</p>
      <p>The receiving system of CCD-LADS has three main parts, the CCD cameras, the
optical filters and the fisheye lenses. The SBIG model STF-8300 CCD imaging
camera, which has the KAF-8300 CCD sensor (ON Semiconductor, Phoenix, AZ,
USA) is used. The area array (17.96 <inline-formula><mml:math id="M12" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 13.52 mm) of pixels has
8.3 million (3326 <inline-formula><mml:math id="M13" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 2504) effective pixels, while each pixel is a
square 5.4 <inline-formula><mml:math id="M14" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m on a side. The exposure time is from 0.1 s to 1 h.
The A/D converter is 16 bit. Due to its outstanding performance, this
product is often used in astronomical measurements and also measurements in
the other research areas (Coenen et al., 2015). The quantum efficiency of the
CCD is about 55 % at 532 nm, while the linearity error is about
10 %. This camera has an air-cooling unit to control the temperature of
CCD.</p>
      <p>The fisheye lens (Sigma Corp., Japan) has a 10 mm focus length and a F2.8
aperture. When this lens is used with a Nikon camera, the field of view can
be 180<inline-formula><mml:math id="M15" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>. Because of the size of the CCD arrays, when this lens is
used with the STF-8300 camera, the field of view is about 120<inline-formula><mml:math id="M16" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>. The
equisolid projection, which means that the solid angle of the object is
directly proportional to the area on the CCD arrays, is used by this lens
(Miyamoto, 1964). The modulation transfer function of the lens shows that,
according to the size of the CCD sensor, the difference of the sensitivities
from the centre to the corner is less than 5 %
(<uri>http://www.sigma-photo.co.jp/english/lens/wide/10_28/#/data</uri>).</p>
      <p>To filter out the background noise from the sky radiation, an optical filter
(Thorlabs, Newton, NJ, USA) is mounted between the CCD camera and the lens.
The filter has a 532 <inline-formula><mml:math id="M17" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2 nm wavelength, and a 10 <inline-formula><mml:math id="M18" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2 nm full
width at half maximum, while the minimum transmission at the peak is
70 %.</p>
      <p>Figure 1a is the sketch map of the geometric relationship of CCD-LADS. The
laser is emitted horizontally, while a beam trap is used to receive the laser
beam on the other side. Besides the laser beam, two CCD cameras with fisheye
lenses are installed at the same altitude with the laser to capture the
scattering signal from the laser beam, while the directions of the cameras
are forward and backward. With the mounted lens, there is a one-to-one
correspondence between the image of the laser beam captured by CCDs and the
laser beam object according to the principle of image formation by lenses.
When two CCD cameras are used in this system, the detective angle can be
expanded to 10–170<inline-formula><mml:math id="M19" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>. The angle resolution can reach 0.1<inline-formula><mml:math id="M20" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> per
pixel. The scattering signal from 0 to 10 and 170 to 180<inline-formula><mml:math id="M21" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> cannot be
detected, because the signal to noise ratio is significantly lower than the
value needed to estimate the quantities effectively.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><caption><p>Sketch map of the geometric relationship and the sampling image of
CCD-LADS.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://amt.copernicus.org/articles/10/2313/2017/amt-10-2313-2017-f01.png"/>

        </fig>

      <p>To decrease the total area of the instrument, the distance between the CCD
cameras and the laser beam should be less than 1 m. Therefore the CCD-LADS system
covers an area 12 m long and 1 m wide. When the instrument is set up, the
first step is to measure the relative position of the CCD cameras, the
laser beam and the laser emitter. From the geometric relationship shown in
Fig. 1, we can know that the light scattered at different position on the
laser beam will be collected by different pixels on the CCD, so that the
scattering light at different angles can be retrieved from the image captured
by CCD. Due to the open path structure of the CCD-LADS, the background noise
is much higher in the daytime than at night-time. Currently, the CCD-LADS system
can only estimate the nocturnal aerosol scattering phase function.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <title>Methodology</title>
<sec id="Ch1.S2.SS2.SSS1">
  <title>Data acquisition and preprocessing</title>
      <p>The data acquisition of CCD-LADS involves obtaining the angle-resolved
scattering signals from images captured by two independent CCD systems and
then merging the signals. Firstly, the CCD-LADS is set up as shown in
Fig. 1a. The geometric relationships between the CCDs, laser emitter and
light trap are measured by tape. Then the scattering angle of laser in the
image should be calibrated. The direction of the CCD cameras are adjusted to
make sure that the image from the laser goes through the centre of the pixel
arrays of CCD. By using a beam block, the backscattering light is blocked
from going into the CCD and the pixel related to the 90<inline-formula><mml:math id="M22" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> scattering
angle can be referred from the calibrated image (Fig. 1d). Because of the
equisolid projection is used by the lens, the distance from a point on the
image on the CCD to the centre of the pixels can be calculated as <inline-formula><mml:math id="M23" display="inline"><mml:mrow><mml:mi>R</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mi>f</mml:mi><mml:mo>×</mml:mo><mml:mi>sin⁡</mml:mi><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi><mml:mo>/</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mfenced></mml:mrow></mml:math></inline-formula>, where <inline-formula><mml:math id="M24" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula> is the angle in rad between
a point in the real world and the optical axis, which goes from the centre of
the image through the centre of the lens, <inline-formula><mml:math id="M25" display="inline"><mml:mi>f</mml:mi></mml:math></inline-formula> is the focal length of the lens
(Miyamoto, 1964). Therefore, the scattering angle, which is related to the
centre of the image, can be
calculated by introducing the distance between the centre of the pixels and the pixel related to the
90<inline-formula><mml:math id="M26" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> scattering angle in the calibrated
image into the equation of the equisolid projection. In this way,
each pixel on the image of laser will be associated with a scattering angle.</p>
      <p>At the beginning of the measurement, the CCDs are cooled down to
<inline-formula><mml:math id="M27" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>15 <inline-formula><mml:math id="M28" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C to minimise the noise from dark current. Then a test image
with a 10 s exposure time is captured to fix the exposure time of the
measurement by evaluating the signal intensity of this image. Generally, the
maximum of the signal intensity is tuned to about 2<inline-formula><mml:math id="M29" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">14</mml:mn></mml:msup></mml:math></inline-formula> because the
limitation is 2<inline-formula><mml:math id="M30" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">16</mml:mn></mml:msup></mml:math></inline-formula>. If the maximum increased to the limitation in an
image, the exposure time will also be changed in the next image
automatically. The exposure time of these two CCDs that were always about
5–60 s in the past observations and should be in complete accordance for
the comparison. After the test image, a dark frame image is captured for each
CCD by using a shutter in front of the lens. The dark current noise from the
process and transmission of the signal can be subtracted during the procedure
of image configuration by subtracting the dark frame image from the regular
image (Fig. 2a). The images are captured automatically after these steps.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2"><caption><p>Noise subtraction of CCD-LADS: <bold>(a)</bold> dark current noise
subtraction, <bold>(b)</bold> background noise subtraction.</p></caption>
            <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://amt.copernicus.org/articles/10/2313/2017/amt-10-2313-2017-f02.png"/>

          </fig>

      <p>After the image has been captured, the scattering light of the laser beam is separated
from the background noise in the image as in the following steps. Firstly, the
central axis of the scattering signals of laser beam is fitted in the programme
(the red line shown in Fig. 2b). Then the intensities of image on the
perpendicular of this central axis (the blue line shown in Fig. 2b) are
fitted with a normal distribution:
              <disp-formula id="Ch1.E1" content-type="numbered"><mml:math id="M31" display="block"><mml:mrow><mml:mi>f</mml:mi><mml:mfenced close=")" open="("><mml:mi>x</mml:mi></mml:mfenced><mml:mo>=</mml:mo><mml:msub><mml:mi>I</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>+</mml:mo><mml:mi>I</mml:mi><mml:mo>×</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mn mathvariant="normal">1</mml:mn><mml:mrow><mml:msqrt><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="italic">π</mml:mi></mml:mrow></mml:msqrt><mml:mi mathvariant="italic">σ</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mi>exp⁡</mml:mi><mml:mfenced open="(" close=")"><mml:mo>-</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msup><mml:mfenced open="(" close=")"><mml:mi>x</mml:mi><mml:mo>-</mml:mo><mml:mi mathvariant="italic">μ</mml:mi></mml:mfenced><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:msup><mml:mi mathvariant="italic">σ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:mfrac></mml:mstyle></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
            where <inline-formula><mml:math id="M32" display="inline"><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> is the intensity of the background noise, <inline-formula><mml:math id="M33" display="inline"><mml:mi>I</mml:mi></mml:math></inline-formula> is the
intensity of the scattering signal of the laser beam related to one
scattering angle, <inline-formula><mml:math id="M34" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula> represents the distance between the pixels on the
perpendicular and central axis of the scattering signals. <inline-formula><mml:math id="M35" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula>
and <inline-formula><mml:math id="M36" display="inline"><mml:mi mathvariant="italic">μ</mml:mi></mml:math></inline-formula> are the fitting parameters of the normal distribution. By combining
this with the calibrated one-to-one correspondence between the image of the laser and
the scattering angle, the angle-resolved scattering signals is obtained with
the above steps of data acquisition.</p>
      <p>When the angle-resolved signals from two CCDs are obtained, the change of
signals with angles can be merged by following the steps below. Firstly, the
minimum angle <inline-formula><mml:math id="M37" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and maximum angle <inline-formula><mml:math id="M38" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> of the overlap
angular region of signals from two CCDs are set as the boundary angle of data
merging (shadow zone in Fig. 3). <inline-formula><mml:math id="M39" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M40" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> are always
around 50 and 80<inline-formula><mml:math id="M41" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>, respectively. In this region, a transform
coefficient with scattering angles <inline-formula><mml:math id="M42" display="inline"><mml:mrow><mml:mi>T</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> is calculated:
              <disp-formula id="Ch1.E2" content-type="numbered"><mml:math id="M43" display="block"><mml:mrow><mml:mi>T</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula>
            <inline-formula><mml:math id="M44" display="inline"><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> is the signal with the scattering angle<inline-formula><mml:math id="M45" display="inline"><mml:mrow><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="italic">θ</mml:mi></mml:mrow></mml:math></inline-formula> captured by the first CCD while <inline-formula><mml:math id="M46" display="inline"><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> is
that of the second CCD. The lifted signal <inline-formula><mml:math id="M47" display="inline"><mml:mrow><mml:msubsup><mml:mi>I</mml:mi><mml:mn mathvariant="normal">2</mml:mn><mml:mo>′</mml:mo></mml:msubsup><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> can
be calculated by multiplying <inline-formula><mml:math id="M48" display="inline"><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> with the average
of <inline-formula><mml:math id="M49" display="inline"><mml:mrow><mml:mi>T</mml:mi><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> (Fig. 3). For the regions where <inline-formula><mml:math id="M50" display="inline"><mml:mrow><mml:mi mathvariant="italic">θ</mml:mi><mml:mo>&lt;</mml:mo></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M51" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> or <inline-formula><mml:math id="M52" display="inline"><mml:mrow><mml:mi mathvariant="italic">θ</mml:mi><mml:mo>&gt;</mml:mo><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, the signal <inline-formula><mml:math id="M53" display="inline"><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> or <inline-formula><mml:math id="M54" display="inline"><mml:mrow><mml:msubsup><mml:mi>I</mml:mi><mml:mn mathvariant="normal">2</mml:mn><mml:mo>′</mml:mo></mml:msubsup><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> are used as the merged scattering
signal <inline-formula><mml:math id="M55" display="inline"><mml:mrow><mml:mi>I</mml:mi><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula>, respectively. For the overlap region, a
linear weighting average is calculated between <inline-formula><mml:math id="M56" display="inline"><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math id="M57" display="inline"><mml:mrow><mml:msubsup><mml:mi>I</mml:mi><mml:mn mathvariant="normal">2</mml:mn><mml:mo>′</mml:mo></mml:msubsup><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula>,
              <disp-formula id="Ch1.E3" content-type="numbered"><mml:math id="M58" display="block"><mml:mrow><?xmltex \hack{\hbox\bgroup\fontsize{8.5}{8.5}\selectfont$\displaystyle}?><mml:mi>I</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced><mml:mo>=</mml:mo><mml:mfenced close="" open="{"><mml:mtable class="array" columnalign="left left"><mml:mtr><mml:mtd><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:mi mathvariant="italic">θ</mml:mi><mml:mo>&lt;</mml:mo><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mrow><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>-</mml:mo><mml:mi mathvariant="italic">θ</mml:mi></mml:mrow><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>-</mml:mo><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>×</mml:mo><mml:msub><mml:mi>I</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced><mml:mo>+</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi mathvariant="italic">θ</mml:mi><mml:mo>-</mml:mo><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>-</mml:mo><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>×</mml:mo><mml:msubsup><mml:mi>I</mml:mi><mml:mn mathvariant="normal">2</mml:mn><mml:mo>′</mml:mo></mml:msubsup><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub><mml:mo>≤</mml:mo><mml:mi mathvariant="italic">θ</mml:mi><mml:mo>≤</mml:mo><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mrow><mml:msubsup><mml:mi>I</mml:mi><mml:mn mathvariant="normal">2</mml:mn><mml:mo>′</mml:mo></mml:msubsup><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:mi mathvariant="italic">θ</mml:mi><mml:mo>&gt;</mml:mo><mml:msub><mml:mi mathvariant="italic">θ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mo>.</mml:mo></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:mfenced><?xmltex \hack{$\egroup}?></mml:mrow></mml:math></disp-formula>
            Using the method above, the merged signals with scattering angles <inline-formula><mml:math id="M59" display="inline"><mml:mrow><mml:mi>I</mml:mi><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> can be estimated.</p>
</sec>
<sec id="Ch1.S2.SS2.SSS2">
  <title>The retrieval algorithm to determine aerosol phase function</title>
      <p>Figure 4 shows the flow chart of the retrieval algorithm used to determine <inline-formula><mml:math id="M60" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> from CCD-LADS measurements. According to the
geometric structure of the CCD-LADS, the echo equation of CCD-LADS can be
figured first:
              <disp-formula id="Ch1.E4" content-type="numbered"><mml:math id="M61" display="block"><mml:mrow><mml:mi>I</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced><mml:mo>=</mml:mo><mml:msub><mml:mi>N</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="italic">τ</mml:mi><mml:mi>Z</mml:mi></mml:msub><mml:msub><mml:mi mathvariant="italic">τ</mml:mi><mml:mi>R</mml:mi></mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
            where <inline-formula><mml:math id="M62" display="inline"><mml:mrow><mml:mi mathvariant="italic">β</mml:mi><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> is the scattering function of atmospheric
air molecules and aerosols, <inline-formula><mml:math id="M63" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">τ</mml:mi><mml:mi>Z</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M64" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">τ</mml:mi><mml:mi>R</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> are the transmittances
on the optical paths of laser emitting and scattering respectively, <inline-formula><mml:math id="M65" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> is the calibration factor that depends on the optical efficiency
of the instrument. Depending on the area that the CCD-LADS covers, the
longest distance between CCD cameras and the laser beam is less than 8 m. In
this range, an assumption that <inline-formula><mml:math id="M66" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">τ</mml:mi><mml:mi>Z</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mi mathvariant="italic">τ</mml:mi><mml:mi>R</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> can be
established with a threshold that the visibility should be larger than
1.5 km. The correlation between the visibility and extinction coefficient
<inline-formula><mml:math id="M67" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="normal">k</mml:mi><mml:mi mathvariant="normal">ex</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> can be expressed as <inline-formula><mml:math id="M68" display="inline"><mml:mrow><mml:msub><mml:mi>k</mml:mi><mml:mi mathvariant="normal">ex</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">3</mml:mn><mml:mo>/</mml:mo><mml:mi mathvariant="normal">visibility</mml:mi><mml:mspace width="0.25em" linebreak="nobreak"/><mml:mo>(</mml:mo><mml:mi mathvariant="normal">km</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> (Chen et al., 2012) which means that the
assumption can be established if <inline-formula><mml:math id="M69" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="normal">k</mml:mi><mml:mi mathvariant="normal">ex</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is smaller than
2 km<inline-formula><mml:math id="M70" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. In some extreme pollution processes with high concentrations of
both aerosol and gaseous pollutants (Ma et al., 2011; Xu et al., 2011),
the scattering and
absorption of aerosols and gases (NO<inline-formula><mml:math id="M71" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>, Dixon, 1940, O<inline-formula><mml:math id="M72" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, Burrows et
al., 1999, etc.) may lead to
extreme <inline-formula><mml:math id="M73" display="inline"><mml:mrow><mml:msub><mml:mi>k</mml:mi><mml:mi mathvariant="normal">ex</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> values. If the <inline-formula><mml:math id="M74" display="inline"><mml:mrow><mml:msub><mml:mi>k</mml:mi><mml:mi mathvariant="normal">ex</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is more than
2 km<inline-formula><mml:math id="M75" 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 assumption cannot be applied while the transmittance can be
calculated with the measurement of visibility. With the assumption, Eq. (4)
can be transformed to <inline-formula><mml:math id="M76" display="inline"><mml:mrow><mml:mi>I</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced><mml:mo>=</mml:mo><mml:msub><mml:mi>N</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula>.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><caption><p>Signal merging of two CCD cameras. Besides the signals captured by
the first CCD (blue dotted line) and the second CCD (red solid line), the
lifted signal from the second CCD (red dashed line) is also shown in the left
drawing. The merged signal is shown in the right drawing.</p></caption>
            <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://amt.copernicus.org/articles/10/2313/2017/amt-10-2313-2017-f03.png"/>

          </fig>

      <p>Scattering phase function <inline-formula><mml:math id="M77" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> is the normalised
angular distribution of the scattering function:
              <disp-formula id="Ch1.E5" content-type="numbered"><mml:math id="M78" display="block"><mml:mrow><?xmltex \hack{\hbox\bgroup\fontsize{8.5}{8.5}\selectfont$\displaystyle}?><mml:mi>p</mml:mi><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mn mathvariant="normal">4</mml:mn><mml:mrow class="chem"><mml:mi mathvariant="italic">π</mml:mi></mml:mrow><mml:mi mathvariant="italic">β</mml:mi><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow><mml:mrow><mml:msub><mml:mo>∫</mml:mo><mml:mrow><mml:mn mathvariant="normal">4</mml:mn><mml:mi mathvariant="italic">π</mml:mi></mml:mrow></mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced><mml:mrow class="chem"><mml:mi mathvariant="normal">d</mml:mi></mml:mrow><mml:mi mathvariant="normal">Ω</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="italic">β</mml:mi><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow><mml:mrow><mml:msubsup><mml:mo>∫</mml:mo><mml:mn mathvariant="normal">0</mml:mn><mml:mn mathvariant="normal">180</mml:mn></mml:msubsup><mml:mi mathvariant="italic">β</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced><mml:mi>sin⁡</mml:mi><mml:mi mathvariant="italic">θ</mml:mi><mml:mrow class="chem"><mml:mi mathvariant="normal">d</mml:mi></mml:mrow><mml:mi mathvariant="italic">θ</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mi>I</mml:mi><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow><mml:mrow><mml:msubsup><mml:mo>∫</mml:mo><mml:mn mathvariant="normal">0</mml:mn><mml:mn mathvariant="normal">180</mml:mn></mml:msubsup><mml:mi>I</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced><mml:mi>sin⁡</mml:mi><mml:mi mathvariant="italic">θ</mml:mi><mml:mrow class="chem"><mml:mi mathvariant="normal">d</mml:mi></mml:mrow><mml:mi mathvariant="italic">θ</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>.</mml:mo><?xmltex \hack{$\egroup}?></mml:mrow></mml:math></disp-formula>
            Consequently, the scattering phase function can be calculated directly from
<inline-formula><mml:math id="M79" display="inline"><mml:mrow><mml:mi>I</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> measured by CCD-LADS. If the scattering function of
aerosols <inline-formula><mml:math id="M80" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mi mathvariant="normal">aero</mml:mi></mml:msub><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> is known, the <inline-formula><mml:math id="M81" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> can be calculated. Therefore, a retrieval algorithm is built
to separate the scattering signals with angles into the scattering of
aerosols and air molecules (shown in the dashed box in Fig. 4).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><caption><p>Flow chart of the retrieval algorithm used to determine aerosol phase
function from CCD-LADS measurements (the processes in the dashed box are used
to subtract the scattering signal of air molecules from the total scattering
signal).</p></caption>
            <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://amt.copernicus.org/articles/10/2313/2017/amt-10-2313-2017-f04.png"/>

          </fig>

      <p>As the first step, the scattering coefficient of air molecules at near-surface
level <inline-formula><mml:math id="M82" display="inline"><mml:mrow><mml:msub><mml:mi>k</mml:mi><mml:mtext>sc-air</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> is calculated with the density of
atmosphere by a Rayleigh scattering model:
              <disp-formula id="Ch1.E6" content-type="numbered"><mml:math id="M83" display="block"><mml:mrow><mml:msub><mml:mi>k</mml:mi><mml:mtext>sc-air</mml:mtext></mml:msub><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mn mathvariant="normal">8</mml:mn><mml:msup><mml:mi mathvariant="italic">π</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msup><mml:msup><mml:mfenced open="(" close=")"><mml:msup><mml:mi>m</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mfenced><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:msub><mml:mi>n</mml:mi><mml:mi mathvariant="normal">air</mml:mi></mml:msub><mml:msup><mml:mi mathvariant="italic">λ</mml:mi><mml:mn mathvariant="normal">4</mml:mn></mml:msup></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
            where <inline-formula><mml:math id="M84" display="inline"><mml:mrow><mml:msub><mml:mi>n</mml:mi><mml:mi mathvariant="normal">air</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the number density of air molecules, which depends
on the surface pressure and temperature measured by the weather station. <inline-formula><mml:math id="M85" display="inline"><mml:mi>m</mml:mi></mml:math></inline-formula>
is the index of refraction of atmosphere, which depends on <inline-formula><mml:math id="M86" display="inline"><mml:mrow><mml:msub><mml:mi>n</mml:mi><mml:mi mathvariant="normal">air</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>
and the wavelength of the laser <inline-formula><mml:math id="M87" display="inline"><mml:mi mathvariant="italic">λ</mml:mi></mml:math></inline-formula>. The hemispheric backscattering
coefficient of air molecules <inline-formula><mml:math id="M88" display="inline"><mml:mrow><mml:msub><mml:mi>k</mml:mi><mml:mtext>bsc-air</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> is a half of
<inline-formula><mml:math id="M89" display="inline"><mml:mrow><mml:msub><mml:mi>k</mml:mi><mml:mtext>sc-air</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> (Bohren and Huffman, 2008).</p>
      <p>To resolve the ratio between the air molecules and the total hemispheric
scattering <inline-formula><mml:math id="M90" display="inline"><mml:mrow><mml:msub><mml:mi>R</mml:mi><mml:mi mathvariant="normal">air</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:msub><mml:mi>k</mml:mi><mml:mtext>bsc-air</mml:mtext></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mi>k</mml:mi><mml:mtext>bsc-air</mml:mtext></mml:msub><mml:mo>+</mml:mo><mml:msub><mml:mi>k</mml:mi><mml:mtext>bsc-aero</mml:mtext></mml:msub></mml:mrow></mml:mfrac></mml:mstyle></mml:mrow></mml:math></inline-formula>,
the hemispheric backscattering coefficient of aerosols
<inline-formula><mml:math id="M91" display="inline"><mml:mrow><mml:msub><mml:mi>k</mml:mi><mml:mtext>bsc-aero</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> is measured with an integrating nephelometer here.</p>
      <p>To solve the intensity of the total hemispheric backscattering scattering
signals <inline-formula><mml:math id="M92" display="inline"><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mi mathvariant="normal">bsc</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, the angle-resolved scattering signals should be
integrated from a 90 to 180<inline-formula><mml:math id="M93" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> scattering angle. Because of the detective
angular range of CCD-LADS is 10–170<inline-formula><mml:math id="M94" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>, the angular truncation
correction is necessary to resolve the hemispheric scattering intensity. For
the backward angular truncation, the scattering intensity in that range is
assumed to be equal to the scattering intensity at the largest scattering
angle that CCD-LADS can measured. After the correction above, the corrected
intensity <inline-formula><mml:math id="M95" display="inline"><mml:mrow><mml:msup><mml:mi>I</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> is used to obtain <inline-formula><mml:math id="M96" display="inline"><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mi mathvariant="normal">bsc</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>:
              <disp-formula id="Ch1.E7" content-type="numbered"><mml:math id="M97" display="block"><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mi mathvariant="normal">bsc</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:msubsup><mml:mo>∫</mml:mo><mml:mn mathvariant="normal">0</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="italic">π</mml:mi></mml:mrow></mml:msubsup><mml:msubsup><mml:mo>∫</mml:mo><mml:mrow><mml:mi mathvariant="italic">π</mml:mi><mml:mo>/</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow><mml:mi mathvariant="italic">π</mml:mi></mml:msubsup><mml:msup><mml:mi>I</mml:mi><mml:mo>′</mml:mo></mml:msup><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced><mml:mi>sin⁡</mml:mi><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">d</mml:mi><mml:mi mathvariant="italic">θ</mml:mi><mml:mi mathvariant="normal">d</mml:mi><mml:mi mathvariant="italic">φ</mml:mi><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula>
            Then the angle-resolved scattering signals of air molecules can be
calculated with a molecular phase function (Bohren and Huffman, 2008):
              <disp-formula id="Ch1.E8" content-type="numbered"><mml:math id="M98" display="block"><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mi mathvariant="normal">air</mml:mi></mml:msub><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mfenced open="(" close=")"><mml:mn mathvariant="normal">1</mml:mn><mml:mo>+</mml:mo><mml:msup><mml:mi>cos⁡</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow><mml:mn mathvariant="normal">4</mml:mn></mml:mfrac></mml:mstyle><mml:mo>×</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mi mathvariant="normal">bsc</mml:mi></mml:msub><mml:mo>×</mml:mo><mml:msub><mml:mi>R</mml:mi><mml:mi mathvariant="normal">air</mml:mi></mml:msub></mml:mrow><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="italic">π</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
            where <inline-formula><mml:math id="M99" display="inline"><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mi mathvariant="normal">air</mml:mi></mml:msub><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> is the calculated angle-resolved
scattering signals of air molecules. According to Eq. (5), the aerosol phase
function <inline-formula><mml:math id="M100" display="inline"><mml:mrow><mml:msub><mml:mi>p</mml:mi><mml:mi mathvariant="normal">aero</mml:mi></mml:msub><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> can be estimated as
              <disp-formula id="Ch1.E9" content-type="numbered"><mml:math id="M101" display="block"><mml:mrow><mml:msub><mml:mi>p</mml:mi><mml:mi mathvariant="normal">aero</mml:mi></mml:msub><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mfenced open="(" close=")"><mml:mi>I</mml:mi><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced><mml:mo>-</mml:mo><mml:msub><mml:mi>I</mml:mi><mml:mi mathvariant="normal">air</mml:mi></mml:msub><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mfenced></mml:mrow><mml:mrow><mml:msubsup><mml:mo>∫</mml:mo><mml:mn mathvariant="normal">0</mml:mn><mml:mn mathvariant="normal">180</mml:mn></mml:msubsup><mml:mfenced open="(" close=")"><mml:mi>I</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced><mml:mo>-</mml:mo><mml:msub><mml:mi>I</mml:mi><mml:mi mathvariant="normal">air</mml:mi></mml:msub><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mfenced><mml:mi>sin⁡</mml:mi><mml:mi mathvariant="italic">θ</mml:mi><mml:mrow class="chem"><mml:mi mathvariant="normal">d</mml:mi></mml:mrow><mml:mi mathvariant="italic">θ</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula></p>
</sec>
<sec id="Ch1.S2.SS2.SSS3">
  <title>Error analysis</title>
      <p>Two types of uncertainties determine the error of the retrieved aerosol
phase function: the measurement errors caused by the processes of obtaining
the angle-resolved signals and an error introduced by the retrieval
algorithm.</p>
      <p>There are two sources of measurement errors in the data acquisition processes
introduced in Sect. 2.2.1. Firstly, the measurement error of CCD used in the
CCD-LADS is 10 % according to the related manual. The relative difference
between the fitted normal distribution introduced in Eq. (1) and the measured
signal in the laboratory study is 8.8 % <inline-formula><mml:math id="M102" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.5 %, which can also
certify the 10 % measuring error on <inline-formula><mml:math id="M103" display="inline"><mml:mi>I</mml:mi></mml:math></inline-formula> introduced by the manual of CCD.
Secondly, the measurement of the geometric relationship will lead to a relative error
of 5 % at the most on the scattering angle <inline-formula><mml:math id="M104" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula> introduced by the
resolution and accuracy of the used tools.</p>
      <p>The relative errors on the merged angle-resolved signals <inline-formula><mml:math id="M105" display="inline"><mml:mrow><mml:mi>I</mml:mi><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> can be derived by applying a standard propagation of errors to
Eq. (3) (Bevington and Robinson, 2003):
              <disp-formula id="Ch1.E10" content-type="numbered"><mml:math id="M106" display="block"><mml:mrow><mml:msup><mml:mfenced close=")" open="("><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>I</mml:mi></mml:mrow><mml:mi>I</mml:mi></mml:mfrac></mml:mstyle></mml:mfenced><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>=</mml:mo><mml:msub><mml:mi>F</mml:mi><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:msub><mml:msup><mml:mfenced open="(" close=")"><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>I</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:mfrac></mml:mstyle></mml:mfenced><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>+</mml:mo><mml:msub><mml:mi>F</mml:mi><mml:mrow><mml:msubsup><mml:mi>I</mml:mi><mml:mn mathvariant="normal">2</mml:mn><mml:mo>′</mml:mo></mml:msubsup></mml:mrow></mml:msub><mml:msup><mml:mfenced close=")" open="("><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msubsup><mml:mi>I</mml:mi><mml:mn mathvariant="normal">2</mml:mn><mml:mo>′</mml:mo></mml:msubsup></mml:mrow><mml:mrow><mml:msubsup><mml:mi>I</mml:mi><mml:mn mathvariant="normal">2</mml:mn><mml:mo>′</mml:mo></mml:msubsup></mml:mrow></mml:mfrac></mml:mstyle></mml:mfenced><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>+</mml:mo><mml:msub><mml:mi>F</mml:mi><mml:mi mathvariant="italic">θ</mml:mi></mml:msub><mml:msup><mml:mfenced open="(" close=")"><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi mathvariant="italic">θ</mml:mi></mml:mrow><mml:mi mathvariant="italic">θ</mml:mi></mml:mfrac></mml:mstyle></mml:mfenced><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
            where <inline-formula><mml:math id="M107" display="inline"><mml:mi mathvariant="normal">Δ</mml:mi></mml:math></inline-formula> means the standard deviation of variables, <inline-formula><mml:math id="M108" display="inline"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>x</mml:mi></mml:mrow><mml:mi>x</mml:mi></mml:mfrac></mml:mstyle></mml:math></inline-formula> is equal to the relative error of <inline-formula><mml:math id="M109" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula> and the propagation factor
<inline-formula><mml:math id="M110" display="inline"><mml:mrow><mml:msub><mml:mi>F</mml:mi><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is defined as <inline-formula><mml:math id="M111" display="inline"><mml:mrow><mml:msub><mml:mi>F</mml:mi><mml:mi>x</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:msup><mml:mfenced close=")" open="("><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mi>x</mml:mi><mml:mi>I</mml:mi></mml:mfrac></mml:mstyle><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mo>∂</mml:mo><mml:mi>I</mml:mi></mml:mrow><mml:mrow><mml:mo>∂</mml:mo><mml:mi>x</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mfenced><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>. By substituting the relative errors and the average signals in
Eq. (10), the uncertainties on <inline-formula><mml:math id="M112" display="inline"><mml:mrow><mml:mi>I</mml:mi><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> are calculated as a
distribution with an angle-resolved distribution shown in Fig. 5. The values
of uncertainties on <inline-formula><mml:math id="M113" display="inline"><mml:mrow><mml:mi>I</mml:mi><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> are between 10 and 19 %, and
they vary with angle.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><caption><p>Uncertainties of the merged angle-resolved signal from CCD-LADS
measurement.</p></caption>
            <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://amt.copernicus.org/articles/10/2313/2017/amt-10-2313-2017-f05.png"/>

          </fig>

      <p>The uncertainties of the retrieval algorithm are introduced by the
uncertainties of the input parameters. There are three groups of input
parameters in the retrieval algorithm: merged angle-resolved signals, aerosol
hemi-backscattering coefficient and temperature/pressure. The errors of the
temperature and pressure are about 0.1 K and 0.1 hPa (Box and Steffen,
2001), which will lead to a 0.02 % uncertainty on
<inline-formula><mml:math id="M114" display="inline"><mml:mrow><mml:msub><mml:mi>k</mml:mi><mml:mtext>bsc-air</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>. Combined the 10 % uncertainties on the measured
<inline-formula><mml:math id="M115" display="inline"><mml:mrow><mml:msub><mml:mi>k</mml:mi><mml:mtext>bsc-aero</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> (Heintzenberg et al., 2006), the uncertainty of
<inline-formula><mml:math id="M116" display="inline"><mml:mrow><mml:msub><mml:mi>R</mml:mi><mml:mi mathvariant="normal">air</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> can be calculated as 7 % with the algorithm in
Sect. 2.2.2. According to the algorithm shown in Fig. 4, the uncertainty of
the retrieved aerosol phase function are mainly dominated by the
uncertainties of the merged signal shown in Fig. 5, and also influenced by
the uncertainty of <inline-formula><mml:math id="M117" display="inline"><mml:mrow><mml:msub><mml:mi>R</mml:mi><mml:mi mathvariant="normal">air</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> in a way.</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Results</title>
<sec id="Ch1.S3.SS1">
  <title>Laboratory results</title>
      <p>To validate the ability of the CCD-LADS to measure the aerosol phase
function, an indoor experiment was held in the laboratory in the Physics
Building at Peking University during  7–8 November 2015. The time
resolution of CCD-LADS was set to 60 s during the experiment, while the
angular detection ranged from 10 to 170<inline-formula><mml:math id="M118" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>. The aerosol scattering
coefficient, number size distribution, mass concentration of black carbon
particles, ambient temperature and relative humidity were measured with an
integrating nephelometer (Model 3563, TSI, Inc., Shoreview, MN, USA), a
scanned mobility particle sizer (SMPS; Model 3936, TSI, Inc., Shoreview, MN,
USA), an aerodynamic particle sizer (APS; Model 3321, TSI, Inc., Shoreview,
MN, USA), a micro-Aethalometer (Model AE51, Magee Scientific, Berkeley, CA,
USA) and a dew-point chilled mirror sensor (Edgetech DewMaster),
respectively.</p>
      <p>Figure 6 shows the time series of several quantities during the laboratory
experiment. The scattering/hemispheric backscattering coefficient of aerosols
at 525 nm wavelength shown in Fig. 6b and the mass concentration of
black carbon particles shown in Fig. 6c reveal the same pattern that
first declines and climbs up afterwards. The same pattern can be discovered
in the time series of particle number size distributions shown in Fig. 6d.
The variation reflects the slow exchange between the indoor and
outdoor air. The peak diameter of aerosol number size distribution was still
around 100 nm, but it had a slight shift during the experiment. Therefore,
the fine particles are dominant in the laboratory. The single scattering
albedo (SSA) shown in Fig. 6c was around 0.85 which means that the black
carbon aerosol took up a relatively large proportion of the aerosol
species, resulting in strong particle light absorption ability.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6"><caption><p>Time series of <bold>(a)</bold> temperature (solid line) and relative
humidity (dashed line) in the laboratory, <bold>(b)</bold> scattering coefficient
(solid line) and hemispheric backscattering coefficient (dashed line) of
aerosols at 525 nm wavelength, <bold>(c)</bold> mass concentration of black carbon
particles (solid line) and single scattering albedo of aerosols at 525 nm
wavelength (dashed line), <bold>(d)</bold> PNSD of aerosols during the laboratory
study at Peking University in 2015.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://amt.copernicus.org/articles/10/2313/2017/amt-10-2313-2017-f06.png"/>

        </fig>

      <p>Having combined the particle number size distributions measured with SMPS/APS and
the mass concentration of black carbon aerosols measured with AE51 (Fig. 6)
into a modified Mie-scattering model, the aerosol optical properties
including the aerosol phase function could be modelled (Ma et al., 2011). In
this study (both laboratory and field study), the refractive index used for
black carbon component is 1.95–0.79<inline-formula><mml:math id="M119" display="inline"><mml:mi>i</mml:mi></mml:math></inline-formula> (Seinfeld and Pandis, 2006), and for
non-absorbing component it is 1.53–10<inline-formula><mml:math id="M120" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">7</mml:mn></mml:mrow></mml:msup><mml:mi>i</mml:mi></mml:mrow></mml:math></inline-formula> (Wex et al., 2002). The mass
ratio between two different mixing states (external or core-shell, which are
two different ways black carbon and non-absorbing aerosols are mixed) of
black carbon aerosols is assumed to be 1 : 1 according to the result of Ma
et al. (2012). Figure 7 shows the comparison between the aerosol phase
functions retrieved with the CCD-LADS retrieval algorithm, modelled with the
modified Mie model and offered by the aerosol classification from the
Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO)
aerosol products (Omar et al., 2009). The CALIPSO aerosol classifications are
based on the cluster analysis of the AErosol RObotic NETwork (AERONET)
measurements to determine characteristic aerosol types (Omar et al., 2005).
Here the red solid line shows the retrieved <inline-formula><mml:math id="M121" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> from
the CCD-LADS measurements with the retrieval algorithm introduced in
Sect. 2.2.2, while the brown dashed line shows the retrieved <inline-formula><mml:math id="M122" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> from CCD-LADS directly without considering the
scattering influence of air molecules. The blue dashed line shows the modelled result, and the
other dotted lines express the aerosol phase functions of different aerosol
types from CALIPSO aerosol classification. The uncertainties of the retrieved
<inline-formula><mml:math id="M123" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> and simulated <inline-formula><mml:math id="M124" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> with the Mie
model, which is about 30 % (Ma et al., 2011), are shown as error bars.
The result shows that the comparison between the modelled <inline-formula><mml:math id="M125" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> and the <inline-formula><mml:math id="M126" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> retrieved with the retrieval
algorithm shows a better agreement than the comparison between the modelled
<inline-formula><mml:math id="M127" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> and the <inline-formula><mml:math id="M128" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> retrieved from
the CCD-LADS measurements directly, especially for the backward scattering.
The reasons for this phenomenon is that the scattering coefficients of aerosols
and air molecules are closer to each other for the backward scatter than for
the forward scatter based on the background and that the total scattering
coefficient of aerosols is always much higher than that of air molecules. The
comparison also shows that the retrieved <inline-formula><mml:math id="M129" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mfenced open="(" close=")"><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> is closer
to the aerosol phase function of the biomass burning aerosol among the
six aerosol types classified from CALIPSO aerosol products. Compared with the
other aerosol types, the biomass burning aerosol represents a better
absorption ability due to the larger percentage of black carbon aerosol and
organic aerosol, and also a smaller effective diameter around 100 nm (Omar
et al., 2005; Rissler et al., 2006; Zhu et al., 2017). The SSA and particle
number size distribution of aerosols during the experiment shown in Fig. 6
also have similar characteristics to the biomass burning aerosol.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7"><caption><p>Comparison between aerosol phase function obtained from CCD-LADS
measurements (red solid line shows the result estimated with the retrieval
algorithm, brown dashed line shows that estimated directly with the
measurements), modelled with modified Mie model (blue dashed line) and
offered by previous studies with CALIPSO (different colours of dotted lines
represent different aerosol types).</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://amt.copernicus.org/articles/10/2313/2017/amt-10-2313-2017-f07.png"/>

        </fig>

      <p>To further validate the quality of the retrieved result from the CCD-LADS
measurement, a comparison was also carried out among the <inline-formula><mml:math id="M130" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> at 42<inline-formula><mml:math id="M131" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> scattering angle resolved with different
methods (Fig. 8). The <inline-formula><mml:math id="M132" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> at 42<inline-formula><mml:math id="M133" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>
scattering angle is relatively typical and comparable because 42<inline-formula><mml:math id="M134" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>
is the scattering angle used in the forward scattering visibility sensor
(Kessner et al., 2013). The result of the comparison shows that the
<inline-formula><mml:math id="M135" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> from CCD-LADS measurement and Mie model
have the same pattern and the average difference in the absolute values
between these two <inline-formula><mml:math id="M136" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> is less than 10 %.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8"><caption><p>Comparison between aerosol phase function at 42<inline-formula><mml:math id="M137" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> scattering
angle obtained from CCD-LADS measurements (results estimated with the
retrieval algorithm are shown with a fine solid line, while the values
estimated directly with the measurements are shown with a dashed line) and
modelled with a modified Mie model (shown with a bold solid line).</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://amt.copernicus.org/articles/10/2313/2017/amt-10-2313-2017-f08.png"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS2">
  <title>Field measurements</title>
      <p>During January 2016, a comprehensive field campaign focused on air pollution
in winter was conducted on the roof of a school building at Yanqi campus of
the University of Chinese Academy of sciences (UCAS) in the Huairou district,
Beijing (40<inline-formula><mml:math id="M138" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>24<inline-formula><mml:math id="M139" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N, 116<inline-formula><mml:math id="M140" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>40<inline-formula><mml:math id="M141" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> E, 91 m a.s.l.).
The observatory is 60 km away from the centre of Beijing and is
at the edge of the North China Plain (NCP), which makes it suitable for
measuring the regional pollution properties of the NCP (Ma et al., 2016).
During the campaign, all the instruments except for the CCD-LADS were housed
in a laboratory with a steady room temperature of 20 <inline-formula><mml:math id="M142" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C. The
aerosols were sampled from an inlet 5 m higher than the ground and then
dried to a relative humidity less than 30 % before flowing into the
laboratory to measure the aerosol number size distribution, scattering
coefficient, phase function and the mass concentration of black carbon
aerosols at a dry condition. The CCD-LADS was mounted outside the laboratory
at the same altitude to measure the scattering phase function of ambient
aerosols. Depending on the limitation of the ambient condition, the angular
detection range of the CCD-LADS was 30–160 <inline-formula><mml:math id="M143" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> in this campaign.</p>
      <p>During the field measurement, the scattering phase function of dry aerosols
could be resolved in two ways, with Aurora 4000 polar nephelometer measurements
or with the modified Mie-scattering model with the related aerosol measurements.
Under high relative humidity condition, aerosol particles will absorb
moisture in the atmosphere and exhibit hygroscopic growth significantly
(Bian et al., 2014; Chen et al., 2014; Kuang et al., 2016a), and hence the
scattering properties of ambient and dry aerosols are totally different.
Therefore, the data collected at a relative humidity above 70 % were
eliminated from the comparison between the scattering phase functions of dry
and ambient aerosols obtained by different methods. Figure 9 shows the
result of the comparison mentioned above. The results from the three methods are
consistent with one another in the overlap of the detectable scattering
angular range. Compared with the other results, the retrieval of CCD-LADS
measurement enhances the backward scattering fraction of aerosol. This might
be caused by the angular range (30–160<inline-formula><mml:math id="M144" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>), which did not reach
10–170<inline-formula><mml:math id="M145" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> and therefore might have increased errors in retrieving
the angular distribution of aerosol scattering. The <inline-formula><mml:math id="M146" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> from Aurora 4000 measurements have the similar average pattern with
the results from other methods, but the deviation of its pattern is obvious.
Compared to the Aurora 4000 results, there are two significant advantages of
CCD-LADS: wider detection range and better stability.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9"><caption><p>Comparison between aerosol phase function retrieved from CCD-LADS
measurements (red line shows the average value, the error bar shows the
standard deviation), measured from Aurora 4000 polar nephelometer (blue
triangle) and modelled with modified Mie model (grayscale map).</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://amt.copernicus.org/articles/10/2313/2017/amt-10-2313-2017-f09.png"/>

        </fig>

</sec>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <title>Discussions and conclusions</title>
      <p>A novel instrument named charge-coupled device-laser aerosol detective
system (CCD-LADS) was developed to measure the nocturnal ambient aerosol
phase function in the ambient atmosphere at a wider range of detection
angles and a higher accuracy. The validation in both laboratory and field
measurement shows the ability of CCD-LADS to measure the aerosol phase
function. A laser is emitted horizontally, while two CCD cameras with
fisheye lenses are installed besides the laser beam at the same altitude to
capture the scattering signal from the laser beam with the cameras facing
forward and backward. Then the signal captured by the two
cameras are merged into one signal curve. The detectable angular range is
from 10 to 170<inline-formula><mml:math id="M147" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>, while the angle resolution reach 0.1<inline-formula><mml:math id="M148" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> per
pixel. A retrieval algorithm is developed to subtract the influence of air
molecule scattering with the integrating nephelometer and weather station
measurements. The uncertainties of CCD-LADS were discussed.</p>
      <p>To validate the ability of CCD-LADS to measure the aerosol phase function, an
indoor experiment was held in the laboratory of the Physics Building at
Peking University during 7–8 November 2015. During the experiment, the
angular detection range was from 10 to 170<inline-formula><mml:math id="M149" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>. The comparison between the
modelled <inline-formula><mml:math id="M150" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> and the retrieved
<inline-formula><mml:math id="M151" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> shows excellent agreement. Both of them
are close to the aerosol phase function of the biomass burning aerosol
from CALIPSO aerosol products. The comparison result is reasonable, because
the SSA and particle number size distribution of aerosols during the
experiment also had similar characteristics to the biomass burning
aerosol. The comparison of the <inline-formula><mml:math id="M152" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mfenced close=")" open="("><mml:mi mathvariant="italic">θ</mml:mi></mml:mfenced></mml:mrow></mml:math></inline-formula> at
42<inline-formula><mml:math id="M153" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> scattering angle acquired by different methods also shows good
agreements for both patterns and absolute values.</p>
      <p>During January 2016, a comprehensive field campaign focused on air pollution
in winter was organised at the roof of a school building in Yanqi campus of
UCAS. Depending on the limitation of the ambient condition, the angular
detection range of the CCD-LADS was 30–160<inline-formula><mml:math id="M154" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> in this campaign. The
retrieved aerosol phase function with CCD-LADS measurements is consistent
with both the Aurora 4000 measurement and the modified Mie model results in
the overlap region of the detectable scattering angular range. Compared with
the Aurora 4000 measurements during this campaign, the CCD-LADS measurements
are steadier.</p>
      <p>Both the laboratory experiment and the field measurement have demonstrated
that the CCD-LADS is a robust instrument, fully capable of measuring the
ambient aerosol phase function under different conditions. Overall, compared
with the laboratory-scale instruments, the CCD-LADS measured aerosol phase
functions with a wider angular range and at a higher angular resolution.</p>
</sec>

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

      <p>The averaged retrieved aerosol phase function used to create Fig. 7 is
attached in Supplement. The CALIPSO aerosol classification data are listed in
the reference. The entire data set can be accessed by request to the
corresponding author at zcs@pku.edu.cn.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p><bold>The Supplement related to this article is available online at <inline-supplementary-material xlink:href="https://doi.org/10.5194/amt-10-2313-2017-supplement" xlink:title="zip">https://doi.org/10.5194/amt-10-2313-2017-supplement</inline-supplementary-material>.</bold></p></supplementary-material>
        </app-group><notes notes-type="competinginterests">

      <p>The authors declare that they have no conflict of
interest.</p>
  </notes><ack><title>Acknowledgements</title><p>This work is supported by the National Natural Science
Foundation of China (41590872, 41375134).<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: Thomas Wagner<?xmltex \hack{\newline}?>
Reviewed by: two anonymous referees</p></ack><ref-list>
    <title>References</title>

      <ref id="bib1.bib1"><label>1</label><mixed-citation>Anderson, T. L., Covert, D. S., Marshall, S. F., Laucks, M. L., Charlson, R.
J., Waggoner, A. P., Ogren, J. A., Caldow, R., Holm, R. L., Quant, F. R.,
Sem, G. J., Wiedensohler, A., Ahlquist, N. A., and Bates, T. S.: Performance
Characteristics of a High-Sensitivity, Three-Wavelength, Total
Scatter/Backscatter Nephelometer, J. Atmos. Ocean. Tech., 13, 967–986,
<ext-link xlink:href="https://doi.org/10.1175/1520-0426(1996)013&lt;0967:PCOAHS&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0426(1996)013&lt;0967:PCOAHS&gt;2.0.CO;2</ext-link>, 1996.</mixed-citation></ref>
      <ref id="bib1.bib2"><label>2</label><mixed-citation>Andrews, E., Sheridan, P. J., Fiebig, M., McComiskey, A., Ogren, J. A.,
Arnott, P., Covert, D., Elleman, R., Gasparini, R., Collins, D., Jonsson, H.,
Schmid, B., and Wang, J.: Comparison of methods for deriving aerosol
asymmetry parameter, J. Geophys. Res.-Atmos., 111, D05S04,
<ext-link xlink:href="https://doi.org/10.1029/2004JD005734" ext-link-type="DOI">10.1029/2004JD005734</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bib3"><label>3</label><mixed-citation>
Barkey, B., Bailey, M., Liou, K.-N., and Hallett, J.: Light-scattering
properties of plate and column ice crystals generated in a laboratory cold
chamber, Appl. Optics, 41, 5792–5796, 2002.</mixed-citation></ref>
      <ref id="bib1.bib4"><label>4</label><mixed-citation>
Barkey, B., Paulson, S. E., and Chung, A.: Genetic Algorithm Inversion of
Dual Polarization Polar Nephelometer Data to Determine Aerosol Refractive
Index, Aerosol Sci. Tech., 41, 751–760, 2007.</mixed-citation></ref>
      <ref id="bib1.bib5"><label>5</label><mixed-citation>
Bevington, P. R. and Robinson, D. K.: Data reduction and error analysis,
Third Edn., Physical Science – Astronomy, McGraw-Hill Education, 336 pp.,
2003.</mixed-citation></ref>
      <ref id="bib1.bib6"><label>6</label><mixed-citation>Bian, Y. X., Zhao, C. S., Ma, N., Chen, J., and Xu, W. Y.: A study of aerosol
liquid water content based on hygroscopicity measurements at high relative
humidity in the North China Plain, Atmos. Chem. Phys., 14, 6417–6426,
<ext-link xlink:href="https://doi.org/10.5194/acp-14-6417-2014" ext-link-type="DOI">10.5194/acp-14-6417-2014</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib7"><label>7</label><mixed-citation>
Bohren, C. F. and Huffman, D. R.: Absorption and scattering of light by small
particles, John Wiley &amp; Sons, New York, 2008.</mixed-citation></ref>
      <ref id="bib1.bib8"><label>8</label><mixed-citation>Box, J. E. and Steffen, K.: Sublimation on the Greenland Ice Sheet from
automated weather station observations, J. Geophys. Res.-Atmos., 106,
33965–33981, <ext-link xlink:href="https://doi.org/10.1029/2001jd900219" ext-link-type="DOI">10.1029/2001jd900219</ext-link>, 2001.</mixed-citation></ref>
      <ref id="bib1.bib9"><label>9</label><mixed-citation>Burrows, J. P., Richter, A., Dehn, A., Deters, B., Himmelmann, S., Voigt, S.,
and Orphal, J.: ATMOSPHERIC REMOTE-SENSING REFERENCE DATA FROM GOME – 2.
TEMPERATURE-DEPENDENT ABSORPTION CROSS SECTIONS OF O<inline-formula><mml:math id="M155" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> IN THE 231–794NM
RANGE, J. Quant. Spectrosc. Ra., 61, 509–517,
<ext-link xlink:href="https://doi.org/10.1016/S0022-4073(98)00037-5" ext-link-type="DOI">10.1016/S0022-4073(98)00037-5</ext-link>, 1999.</mixed-citation></ref>
      <ref id="bib1.bib10"><label>10</label><mixed-citation>
Castagner, J.-L. and Bigio, I. J.: Polar nephelometer based on a rotational
confocal imaging setup, Appl. Optics, 45, 2232–2239, 2006.</mixed-citation></ref>
      <ref id="bib1.bib11"><label>11</label><mixed-citation>
Castagner, J.-L. and Bigio, I. J.: Particle sizing with a fast polar
nephelometer, Appl. Optics, 46, 527–532, 2007.</mixed-citation></ref>
      <ref id="bib1.bib12"><label>12</label><mixed-citation>Chen, J., Zhao, C. S., Ma, N., Liu, P. F., Göbel, T., Hallbauer, E.,
Deng, Z. Z., Ran, L., Xu, W. Y., Liang, Z., Liu, H. J., Yan, P., Zhou, X. J.,
and Wiedensohler, A.: A parameterization of low visibilities for hazy days in
the North China Plain, Atmos. Chem. Phys., 12, 4935–4950,
<ext-link xlink:href="https://doi.org/10.5194/acp-12-4935-2012" ext-link-type="DOI">10.5194/acp-12-4935-2012</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib13"><label>13</label><mixed-citation>Chen, J., Zhao, C. S., Ma, N., and Yan, P.: Aerosol hygroscopicity parameter
derived from the light scattering enhancement factor measurements in the
North China Plain, Atmos. Chem. Phys., 14, 8105–8118,
<ext-link xlink:href="https://doi.org/10.5194/acp-14-8105-2014" ext-link-type="DOI">10.5194/acp-14-8105-2014</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib14"><label>14</label><mixed-citation>Coenen, J. W., Arnoux, G., Bazylev, B., Matthews, G. F., Jachmich, S.,
Balboa, I., Clever, M., Dejarnac, R., Coffey, I., Corre, Y., Devaux, S.,
Frassinetti, L., Gauthier, E., Horacek, J., Knaup, M., Komm, M., Krieger, K.,
Marsen, S., Meigs, A., Mertens, P., Pitts, R. A., Puetterich, T., Rack, M.,
Stamp, M., Sergienko, G., Tamain, P., and Thompson, V.: ELM induced tungsten
melting and its impact on tokamak operation, J. Nucl. Mater., 463, 78–84,
<ext-link xlink:href="https://doi.org/10.1016/j.jnucmat.2014.08.062" ext-link-type="DOI">10.1016/j.jnucmat.2014.08.062</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib15"><label>15</label><mixed-citation>
Curtis, D. B., Aycibin, M., Young, M. A., Grassian, V. H., and Kleiber, P.
D.: Simultaneous measurement of light-scattering properties and particle size
distribution for aerosols: Application to ammonium sulfate and quartz aerosol
particles, Atmos. Environ., 41, 4748–4758, 2007.</mixed-citation></ref>
      <ref id="bib1.bib16"><label>16</label><mixed-citation>Curtis, D. B., Meland, B., Aycibin, M., Arnold, N. P., Grassian, V. H.,
Young, M. A., and Kleiber, P. D.: A laboratory investigation of light
scattering from representative components of mineral dust aerosol at a
wavelength of 550 nm, J. Geophys. Res.-Atmos., 113, D08210,
<ext-link xlink:href="https://doi.org/10.1029/2007JD009387" ext-link-type="DOI">10.1029/2007JD009387</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib17"><label>17</label><mixed-citation>Dixon, J. K.: The Absorption Coefficient of Nitrogen Dioxide in the Visible
Spectrum, J. Chem. Phys., 8, 157–160, <ext-link xlink:href="https://doi.org/10.1063/1.1750622" ext-link-type="DOI">10.1063/1.1750622</ext-link>, 1940.</mixed-citation></ref>
      <ref id="bib1.bib18"><label>18</label><mixed-citation>Heintzenberg, J. and Charlson, R. J.: Design and Applications of the
Integrating Nephelometer: A Review, J. Atmos. Ocean. Tech., 13, 987–1000,
<ext-link xlink:href="https://doi.org/10.1175/1520-0426(1996)013&lt;0987:DAAOTI&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0426(1996)013&lt;0987:DAAOTI&gt;2.0.CO;2</ext-link>, 1996.</mixed-citation></ref>
      <ref id="bib1.bib19"><label>19</label><mixed-citation>Heintzenberg, J., Wiedensohler, A., Tuch, T. M., Covert, D. S., Sheridan, P.,
Ogren, J. A., Gras, J., Nessler, R., Kleefeld, C., Kalivitis, N., Aaltonen,
V., Wilhelm, R.-T., and Havlicek, M.: Intercomparisons and Aerosol
Calibrations of 12 Commercial Integrating Nephelometers of Three
Manufacturers, J. Atmos. Ocean. Tech., 23, 902–914, <ext-link xlink:href="https://doi.org/10.1175/jtech1892.1" ext-link-type="DOI">10.1175/jtech1892.1</ext-link>,
2006.</mixed-citation></ref>
      <ref id="bib1.bib20"><label>20</label><mixed-citation>
van de Hulst, H. C.: Light scattering by small particles, Dover Publications,
New York, 1957.</mixed-citation></ref>
      <ref id="bib1.bib21"><label>21</label><mixed-citation>
Kessner, A. L., Wang, J., Levy, R. C., and Colarco, P. R.: Remote sensing of
surface visibility from space: A look at the United States East Coast, Atmos.
Environ., 81, 136–147, 2013.</mixed-citation></ref>
      <ref id="bib1.bib22"><label>22</label><mixed-citation>Kim, H., Barkey, B., and Paulson, S. E.: Real refractive indices of <inline-formula><mml:math id="M156" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula>- and <inline-formula><mml:math id="M157" display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula>-pinene and toluene secondary organic aerosols generated from
ozonolysis and photo-oxidation, J. Geophys. Res.-Atmos., 115, D24212,
<ext-link xlink:href="https://doi.org/10.1029/2010jd014549" ext-link-type="DOI">10.1029/2010jd014549</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib23"><label>23</label><mixed-citation>Kuang, Y., Zhao, C. S., Tao, J. C., and Ma, N.: Diurnal variations of aerosol
optical properties in the North China Plain and their influences on the
estimates of direct aerosol radiative effect, Atmos. Chem. Phys., 15,
5761–5772, <ext-link xlink:href="https://doi.org/10.5194/acp-15-5761-2015" ext-link-type="DOI">10.5194/acp-15-5761-2015</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib24"><label>24</label><mixed-citation>
Kuang, Y., Zhao, C. S., Ma, N., Liu, H. J., Bian, Y. X., Tao, J. C., and Hu,
M.: Deliquescent phenomena of ambient aerosols on the North China Plain,
Geophys. Res. Lett., 43, 8744–8750, 2016a.</mixed-citation></ref>
      <ref id="bib1.bib25"><label>25</label><mixed-citation>
Kuang, Y., Zhao, C. S., Tao, J. C., Bian, Y. X., and Ma, N.: Impact of
aerosol hygroscopic growth on the direct aerosol radiative effect in summer
on North China Plain, Atmos. Environ., 147, 224–233, 2016b.</mixed-citation></ref>
      <ref id="bib1.bib26"><label>26</label><mixed-citation>Ma, N., Zhao, C. S., Nowak, A., Müller, T., Pfeifer, S., Cheng, Y. F.,
Deng, Z. Z., Liu, P. F., Xu, W. Y., Ran, L., Yan, P., Göbel, T.,
Hallbauer, E., Mildenberger, K., Henning, S., Yu, J., Chen, L. L., Zhou, X.
J., Stratmann, F., and Wiedensohler, A.: Aerosol optical properties in the
North China Plain during HaChi campaign: an in-situ optical closure study,
Atmos. Chem. Phys., 11, 5959–5973, <ext-link xlink:href="https://doi.org/10.5194/acp-11-5959-2011" ext-link-type="DOI">10.5194/acp-11-5959-2011</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib27"><label>27</label><mixed-citation>Ma, N., Zhao, C. S., Müller, T., Cheng, Y. F., Liu, P. F., Deng, Z. Z.,
Xu, W. Y., Ran, L., Nekat, B., van Pinxteren, D., Gnauk, T., Müller, K.,
Herrmann, H., Yan, P., Zhou, X. J., and Wiedensohler, A.: A new method to
determine the mixing state of light absorbing carbonaceous using the measured
aerosol optical properties and number size distributions, Atmos. Chem. Phys.,
12, 2381–2397, <ext-link xlink:href="https://doi.org/10.5194/acp-12-2381-2012" ext-link-type="DOI">10.5194/acp-12-2381-2012</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib28"><label>28</label><mixed-citation>Ma, N., Zhao, C., Tao, J., Wu, Z., Kecorius, S., Wang, Z., Größ, J.,
Liu, H., Bian, Y., Kuang, Y., Teich, M., Spindler, G., Müller, K., van
Pinxteren, D., Herrmann, H., Hu, M., and Wiedensohler, A.: Variation of CCN
activity during new particle formation events in the North China Plain,
Atmos. Chem. Phys., 16, 8593–8607, <ext-link xlink:href="https://doi.org/10.5194/acp-16-8593-2016" ext-link-type="DOI">10.5194/acp-16-8593-2016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib29"><label>29</label><mixed-citation>
McCrowey, C. J., Tinilau, S. S., Calderon, G., Koo, J.-E., and Curtis, D. B.:
A Portable High-Resolution Polar Nephelometer for Measurement of the Angular
Scattering Properties of Atmospheric Aerosol: Design and Validation, Aerosol
Sci. Tech., 47, 592–605, 2013.</mixed-citation></ref>
      <ref id="bib1.bib30"><label>30</label><mixed-citation>Miyamoto, K.: Fish Eye Lens, J. Opt. Soc. Am., 54, 1060–1061,
<ext-link xlink:href="https://doi.org/10.1364/JOSA.54.001060" ext-link-type="DOI">10.1364/JOSA.54.001060</ext-link>, 1964.</mixed-citation></ref>
      <ref id="bib1.bib31"><label>31</label><mixed-citation>Müller, T., Laborde, M., Kassell, G., and Wiedensohler, A.: Design and
performance of a three-wavelength LED-based total scatter and backscatter
integrating nephelometer, Atmos. Meas. Tech., 4, 1291–1303,
<ext-link xlink:href="https://doi.org/10.5194/amt-4-1291-2011" ext-link-type="DOI">10.5194/amt-4-1291-2011</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib32"><label>32</label><mixed-citation>Muñoz, O., Volten, H., de Haan, J. F., Vassen, W., and Hovenier, J. W.:
Experimental determination of scattering matrices of randomly oriented fly
ash and clay particles at 442 and 633 nm, J. Geophys. Res.-Atmos., 106,
22833–22844, <ext-link xlink:href="https://doi.org/10.1029/2000JD000164" ext-link-type="DOI">10.1029/2000JD000164</ext-link>, 2001.</mixed-citation></ref>
      <ref id="bib1.bib33"><label>33</label><mixed-citation>Muñoz, O., Volten, H., de Haan, J. F., Vassen, W., and Hovenier, J. W.:
Experimental determination of the phase function and degree of linear
polarization of El Chichón and Pinatubo volcanic ashes, J. Geophys.
Res.-Atmos., 107, ACL 4-1–ACL 4-8, <ext-link xlink:href="https://doi.org/10.1029/2001JD000983" ext-link-type="DOI">10.1029/2001JD000983</ext-link>, 2002.</mixed-citation></ref>
      <ref id="bib1.bib34"><label>34</label><mixed-citation>Muñoz, O., Moreno, F., Guirado, D., Ramos, J. L., López, A., Girela,
F., Jerónimo, J. M., Costillo, L. P., and Bustamante, I.: Experimental
determination of scattering matrices of dust particles at visible
wavelengths: The IAA light scattering apparatus, J. Quant. Spectrosc. Ra.,
111, 187–196, <ext-link xlink:href="https://doi.org/10.1016/j.jqsrt.2009.06.011" ext-link-type="DOI">10.1016/j.jqsrt.2009.06.011</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib35"><label>35</label><mixed-citation>Muñoz, O. and Hovenier, J. W.: Laboratory measurements of single light
scattering by ensembles of randomly oriented small irregular particles in
air. A review, J. Quant. Spectrosc. Ra., 112, 1646–1657,
<ext-link xlink:href="https://doi.org/10.1016/j.jqsrt.2011.02.005" ext-link-type="DOI">10.1016/j.jqsrt.2011.02.005</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib36"><label>36</label><mixed-citation>Omar, A. H., Won, J.-G., Winker, D. M., Yoon, S.-C., Dubovik, O., and
McCormick, M. P.: Development of global aerosol models using cluster analysis
of Aerosol Robotic Network (AERONET) measurements, J. Geophys. Res.-Atmos.,
110, D10S14, <ext-link xlink:href="https://doi.org/10.1029/2004JD004874" ext-link-type="DOI">10.1029/2004JD004874</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bib37"><label>37</label><mixed-citation>
Omar, A. H., Winker, D. M., Vaughan, M. A., Hu, Y., Trepte, C. R., Ferrare,
R. A., Lee, K.-P., Hostetler, C. A., Kittaka, C., Rogers, R. R., Kuehn, R.
E., and Liu, Z.: The CALIPSO Automated Aerosol Classification and Lidar Ratio
Selection Algorithm, J. Atmos. Ocean. Tech., 26, 1994–2014, 2009.</mixed-citation></ref>
      <ref id="bib1.bib38"><label>38</label><mixed-citation>
Pachauri, R. K., Allen, M. R., Barros, V. R., Broome, J., Cramer, W., Christ,
R., Church, J. A., Clarke, L., Dahe, Q., Dasgupta, P., Dubash, N. K.,
Edenhofer, O., Elgizouli, I., Field, C. B., Forster, P., Friedlingstein, P.,
Fuglestvedt, J., Gomez-Echeverri, L., Hallegatte, S., Hegerl, G., Howden, M.,
Jiang, K., Jimenez Cisneroz, B., Kattsov, V., Lee, H., Mach, K. J., Marotzke,
J., Mastrandrea, M. D., Meyer, L., Minx, J., Mulugetta, Y., O'Brien, K.,
Oppenheimer, M., Pereira, J. J., Pichs-Madruga, R., Plattner, G.-K.,
Pörtner, H.-O., Power, S. B., Preston, B., Ravindranath, N. H.,
Reisinger, A., Riahi, K., Rusticucci, M., Scholes, R., Seyboth, K., Sokona,
Y., Stavins, R., Stocker, T. F., Tschakert, P., van Vuuren, D., and van
Ypserle, J.-P.: Climate Change 2014: Synthesis Report. Contribution of
Working Groups I, II and III to the Fifth Assessment Report of the
Intergovernmental Panel on Climate Change, edited by: Pachauri, R. K. and
Meyer, L., IPCC, Geneva, Switzerland, 151 pp., 2014.</mixed-citation></ref>
      <ref id="bib1.bib39"><label>39</label><mixed-citation>Rissler, J., Vestin, A., Swietlicki, E., Fisch, G., Zhou, J., Artaxo, P., and
Andreae, M. O.: Size distribution and hygroscopic properties of aerosol
particles from dry-season biomass burning in Amazonia, Atmos. Chem. Phys., 6,
471–491, <ext-link xlink:href="https://doi.org/10.5194/acp-6-471-2006" ext-link-type="DOI">10.5194/acp-6-471-2006</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bib40"><label>40</label><mixed-citation>
Seinfeld, J. H. and Pandis, S. N.: Atmospheric Chemistry and Physics, Second
Edn., John Wiley &amp; Sons, Hoboken, New Jersey, 2006.</mixed-citation></ref>
      <ref id="bib1.bib41"><label>41</label><mixed-citation>Tao, J. C., Zhao, C. S., Ma, N., and Liu, P. F.: The impact of aerosol
hygroscopic growth on the single-scattering albedo and its application on the
NO<inline-formula><mml:math id="M158" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula> photolysis rate coefficient, Atmos. Chem. Phys., 14, 12055–12067,
<ext-link xlink:href="https://doi.org/10.5194/acp-14-12055-2014" ext-link-type="DOI">10.5194/acp-14-12055-2014</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib42"><label>42</label><mixed-citation>Wex, H., Neusüß, C., Wendisch, M., Stratmann, F., Koziar, C., Keil,
A., Wiedensohler, A., and Ebert, M.: Particle scattering, backscattering, and
absorption coefficients: An in situ closure and sensitivity study, J.
Geophys. Res.-Atmos., 107, LAC 4-1–LAC 4-18, <ext-link xlink:href="https://doi.org/10.1029/2000JD000234" ext-link-type="DOI">10.1029/2000JD000234</ext-link>, 2002.</mixed-citation></ref>
      <ref id="bib1.bib43"><label>43</label><mixed-citation>Xu, W. Y., Zhao, C. S., Ran, L., Deng, Z. Z., Liu, P. F., Ma, N., Lin, W. L.,
Xu, X. B., Yan, P., He, X., Yu, J., Liang, W. D., and Chen, L. L.:
Characteristics of pollutants and their correlation to meteorological
conditions at a suburban site in the North China Plain, Atmos. Chem. Phys.,
11, 4353–4369, <ext-link xlink:href="https://doi.org/10.5194/acp-11-4353-2011" ext-link-type="DOI">10.5194/acp-11-4353-2011</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib44"><label>44</label><mixed-citation>Zhu, J., Xia, X., Wang, J., Zhang, J., Wiedinmyer, C., Fisher, J. A., and
Keller, C.: Impact of Southeast Asian smoke on aerosol properties in
Southwest China: first comparison of model simulations with satellite and
ground observations, J. Geophys. Res.-Atmos., 122, 3904–3919,
<ext-link xlink:href="https://doi.org/10.1002/2016jd025793" ext-link-type="DOI">10.1002/2016jd025793</ext-link>, 2017.</mixed-citation></ref>

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

    </app></app-group></back>
    <!--<article-title-html>Development and validation of a CCD-laser aerosol detective system for measuring the ambient aerosol phase function</article-title-html>
<abstract-html><p class="p">Aerosol phase function represents the angular scattering property of
aerosols, which is crucial for understanding the climate effects of aerosols
that have been identified as one of the largest uncertainties in the
evaluation of radiative forcing. So far, there is a lack of instruments with
which to measure the aerosol phase function directly and accurately in
laboratory studies and in situ measurements. A portable instrument with high
angular range and resolution has been developed for the measurement of the
phase function of ambient aerosols in this study. The charge-coupled
device-laser aerosol detective system (CCD-LADS) measures the aerosol phase
function both across a relatively wide angular range of 10–170° and
at a high resolution of 0.1°. The system includes a continuous laser,
two charge-coupled device cameras and the corresponding fisheye lenses. The
CCD-LADS was validated by both a laboratory study and a field measurement.
The comparison between the aerosol phase function retrieved from CCD-LADS and
Mie-scattering model shows good agreement. Compared with the TSI polar
nephelometer, CCD-LADS has the advantages of wider detection range and better
stability.</p></abstract-html>
<ref-html id="bib1.bib1"><label>1</label><mixed-citation>
Anderson, T. L., Covert, D. S., Marshall, S. F., Laucks, M. L., Charlson, R.
J., Waggoner, A. P., Ogren, J. A., Caldow, R., Holm, R. L., Quant, F. R.,
Sem, G. J., Wiedensohler, A., Ahlquist, N. A., and Bates, T. S.: Performance
Characteristics of a High-Sensitivity, Three-Wavelength, Total
Scatter/Backscatter Nephelometer, J. Atmos. Ocean. Tech., 13, 967–986,
<a href="https://doi.org/10.1175/1520-0426(1996)013&lt;0967:PCOAHS&gt;2.0.CO;2" target="_blank">https://doi.org/10.1016/10.1175/1520-0426(1996)013&lt;0967:PCOAHS&gt;2.0.CO;2</a>, 1996.
</mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>2</label><mixed-citation>
Andrews, E., Sheridan, P. J., Fiebig, M., McComiskey, A., Ogren, J. A.,
Arnott, P., Covert, D., Elleman, R., Gasparini, R., Collins, D., Jonsson, H.,
Schmid, B., and Wang, J.: Comparison of methods for deriving aerosol
asymmetry parameter, J. Geophys. Res.-Atmos., 111, D05S04,
<a href="https://doi.org/10.1029/2004JD005734" target="_blank">https://doi.org/10.1016/10.1029/2004JD005734</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>3</label><mixed-citation>
Barkey, B., Bailey, M., Liou, K.-N., and Hallett, J.: Light-scattering
properties of plate and column ice crystals generated in a laboratory cold
chamber, Appl. Optics, 41, 5792–5796, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>4</label><mixed-citation>
Barkey, B., Paulson, S. E., and Chung, A.: Genetic Algorithm Inversion of
Dual Polarization Polar Nephelometer Data to Determine Aerosol Refractive
Index, Aerosol Sci. Tech., 41, 751–760, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>5</label><mixed-citation>
Bevington, P. R. and Robinson, D. K.: Data reduction and error analysis,
Third Edn., Physical Science – Astronomy, McGraw-Hill Education, 336 pp.,
2003.
</mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>6</label><mixed-citation>
Bian, Y. X., Zhao, C. S., Ma, N., Chen, J., and Xu, W. Y.: A study of aerosol
liquid water content based on hygroscopicity measurements at high relative
humidity in the North China Plain, Atmos. Chem. Phys., 14, 6417–6426,
<a href="https://doi.org/10.5194/acp-14-6417-2014" target="_blank">https://doi.org/10.1016/10.5194/acp-14-6417-2014</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>7</label><mixed-citation>
Bohren, C. F. and Huffman, D. R.: Absorption and scattering of light by small
particles, John Wiley &amp; Sons, New York, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>8</label><mixed-citation>
Box, J. E. and Steffen, K.: Sublimation on the Greenland Ice Sheet from
automated weather station observations, J. Geophys. Res.-Atmos., 106,
33965–33981, <a href="https://doi.org/10.1029/2001jd900219" target="_blank">https://doi.org/10.1016/10.1029/2001jd900219</a>, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>9</label><mixed-citation>
Burrows, J. P., Richter, A., Dehn, A., Deters, B., Himmelmann, S., Voigt, S.,
and Orphal, J.: ATMOSPHERIC REMOTE-SENSING REFERENCE DATA FROM GOME – 2.
TEMPERATURE-DEPENDENT ABSORPTION CROSS SECTIONS OF O<sub>3</sub> IN THE 231–794NM
RANGE, J. Quant. Spectrosc. Ra., 61, 509–517,
<a href="https://doi.org/10.1016/S0022-4073(98)00037-5" target="_blank">https://doi.org/10.1016/10.1016/S0022-4073(98)00037-5</a>, 1999.
</mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>10</label><mixed-citation>
Castagner, J.-L. and Bigio, I. J.: Polar nephelometer based on a rotational
confocal imaging setup, Appl. Optics, 45, 2232–2239, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>11</label><mixed-citation>
Castagner, J.-L. and Bigio, I. J.: Particle sizing with a fast polar
nephelometer, Appl. Optics, 46, 527–532, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>12</label><mixed-citation>
Chen, J., Zhao, C. S., Ma, N., Liu, P. F., Göbel, T., Hallbauer, E.,
Deng, Z. Z., Ran, L., Xu, W. Y., Liang, Z., Liu, H. J., Yan, P., Zhou, X. J.,
and Wiedensohler, A.: A parameterization of low visibilities for hazy days in
the North China Plain, Atmos. Chem. Phys., 12, 4935–4950,
<a href="https://doi.org/10.5194/acp-12-4935-2012" target="_blank">https://doi.org/10.1016/10.5194/acp-12-4935-2012</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>13</label><mixed-citation>
Chen, J., Zhao, C. S., Ma, N., and Yan, P.: Aerosol hygroscopicity parameter
derived from the light scattering enhancement factor measurements in the
North China Plain, Atmos. Chem. Phys., 14, 8105–8118,
<a href="https://doi.org/10.5194/acp-14-8105-2014" target="_blank">https://doi.org/10.1016/10.5194/acp-14-8105-2014</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>14</label><mixed-citation>
Coenen, J. W., Arnoux, G., Bazylev, B., Matthews, G. F., Jachmich, S.,
Balboa, I., Clever, M., Dejarnac, R., Coffey, I., Corre, Y., Devaux, S.,
Frassinetti, L., Gauthier, E., Horacek, J., Knaup, M., Komm, M., Krieger, K.,
Marsen, S., Meigs, A., Mertens, P., Pitts, R. A., Puetterich, T., Rack, M.,
Stamp, M., Sergienko, G., Tamain, P., and Thompson, V.: ELM induced tungsten
melting and its impact on tokamak operation, J. Nucl. Mater., 463, 78–84,
<a href="https://doi.org/10.1016/j.jnucmat.2014.08.062" target="_blank">https://doi.org/10.1016/10.1016/j.jnucmat.2014.08.062</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>15</label><mixed-citation>
Curtis, D. B., Aycibin, M., Young, M. A., Grassian, V. H., and Kleiber, P.
D.: Simultaneous measurement of light-scattering properties and particle size
distribution for aerosols: Application to ammonium sulfate and quartz aerosol
particles, Atmos. Environ., 41, 4748–4758, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>16</label><mixed-citation>
Curtis, D. B., Meland, B., Aycibin, M., Arnold, N. P., Grassian, V. H.,
Young, M. A., and Kleiber, P. D.: A laboratory investigation of light
scattering from representative components of mineral dust aerosol at a
wavelength of 550 nm, J. Geophys. Res.-Atmos., 113, D08210,
<a href="https://doi.org/10.1029/2007JD009387" target="_blank">https://doi.org/10.1016/10.1029/2007JD009387</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>17</label><mixed-citation>
Dixon, J. K.: The Absorption Coefficient of Nitrogen Dioxide in the Visible
Spectrum, J. Chem. Phys., 8, 157–160, <a href="https://doi.org/10.1063/1.1750622" target="_blank">https://doi.org/10.1016/10.1063/1.1750622</a>, 1940.
</mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>18</label><mixed-citation>
Heintzenberg, J. and Charlson, R. J.: Design and Applications of the
Integrating Nephelometer: A Review, J. Atmos. Ocean. Tech., 13, 987–1000,
<a href="https://doi.org/10.1175/1520-0426(1996)013&lt;0987:DAAOTI&gt;2.0.CO;2" target="_blank">https://doi.org/10.1016/10.1175/1520-0426(1996)013&lt;0987:DAAOTI&gt;2.0.CO;2</a>, 1996.
</mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>19</label><mixed-citation>
Heintzenberg, J., Wiedensohler, A., Tuch, T. M., Covert, D. S., Sheridan, P.,
Ogren, J. A., Gras, J., Nessler, R., Kleefeld, C., Kalivitis, N., Aaltonen,
V., Wilhelm, R.-T., and Havlicek, M.: Intercomparisons and Aerosol
Calibrations of 12 Commercial Integrating Nephelometers of Three
Manufacturers, J. Atmos. Ocean. Tech., 23, 902–914, <a href="https://doi.org/10.1175/jtech1892.1" target="_blank">https://doi.org/10.1016/10.1175/jtech1892.1</a>,
2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib20"><label>20</label><mixed-citation>
van de Hulst, H. C.: Light scattering by small particles, Dover Publications,
New York, 1957.
</mixed-citation></ref-html>
<ref-html id="bib1.bib21"><label>21</label><mixed-citation>
Kessner, A. L., Wang, J., Levy, R. C., and Colarco, P. R.: Remote sensing of
surface visibility from space: A look at the United States East Coast, Atmos.
Environ., 81, 136–147, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib22"><label>22</label><mixed-citation>
Kim, H., Barkey, B., and Paulson, S. E.: Real refractive indices of <i>α</i>- and <i>β</i>-pinene and toluene secondary organic aerosols generated from
ozonolysis and photo-oxidation, J. Geophys. Res.-Atmos., 115, D24212,
<a href="https://doi.org/10.1029/2010jd014549" target="_blank">https://doi.org/10.1016/10.1029/2010jd014549</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib23"><label>23</label><mixed-citation>
Kuang, Y., Zhao, C. S., Tao, J. C., and Ma, N.: Diurnal variations of aerosol
optical properties in the North China Plain and their influences on the
estimates of direct aerosol radiative effect, Atmos. Chem. Phys., 15,
5761–5772, <a href="https://doi.org/10.5194/acp-15-5761-2015" target="_blank">https://doi.org/10.1016/10.5194/acp-15-5761-2015</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib24"><label>24</label><mixed-citation>
Kuang, Y., Zhao, C. S., Ma, N., Liu, H. J., Bian, Y. X., Tao, J. C., and Hu,
M.: Deliquescent phenomena of ambient aerosols on the North China Plain,
Geophys. Res. Lett., 43, 8744–8750, 2016a.
</mixed-citation></ref-html>
<ref-html id="bib1.bib25"><label>25</label><mixed-citation>
Kuang, Y., Zhao, C. S., Tao, J. C., Bian, Y. X., and Ma, N.: Impact of
aerosol hygroscopic growth on the direct aerosol radiative effect in summer
on North China Plain, Atmos. Environ., 147, 224–233, 2016b.
</mixed-citation></ref-html>
<ref-html id="bib1.bib26"><label>26</label><mixed-citation>
Ma, N., Zhao, C. S., Nowak, A., Müller, T., Pfeifer, S., Cheng, Y. F.,
Deng, Z. Z., Liu, P. F., Xu, W. Y., Ran, L., Yan, P., Göbel, T.,
Hallbauer, E., Mildenberger, K., Henning, S., Yu, J., Chen, L. L., Zhou, X.
J., Stratmann, F., and Wiedensohler, A.: Aerosol optical properties in the
North China Plain during HaChi campaign: an in-situ optical closure study,
Atmos. Chem. Phys., 11, 5959–5973, <a href="https://doi.org/10.5194/acp-11-5959-2011" target="_blank">https://doi.org/10.1016/10.5194/acp-11-5959-2011</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib27"><label>27</label><mixed-citation>
Ma, N., Zhao, C. S., Müller, T., Cheng, Y. F., Liu, P. F., Deng, Z. Z.,
Xu, W. Y., Ran, L., Nekat, B., van Pinxteren, D., Gnauk, T., Müller, K.,
Herrmann, H., Yan, P., Zhou, X. J., and Wiedensohler, A.: A new method to
determine the mixing state of light absorbing carbonaceous using the measured
aerosol optical properties and number size distributions, Atmos. Chem. Phys.,
12, 2381–2397, <a href="https://doi.org/10.5194/acp-12-2381-2012" target="_blank">https://doi.org/10.1016/10.5194/acp-12-2381-2012</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib28"><label>28</label><mixed-citation>
Ma, N., Zhao, C., Tao, J., Wu, Z., Kecorius, S., Wang, Z., Größ, J.,
Liu, H., Bian, Y., Kuang, Y., Teich, M., Spindler, G., Müller, K., van
Pinxteren, D., Herrmann, H., Hu, M., and Wiedensohler, A.: Variation of CCN
activity during new particle formation events in the North China Plain,
Atmos. Chem. Phys., 16, 8593–8607, <a href="https://doi.org/10.5194/acp-16-8593-2016" target="_blank">https://doi.org/10.1016/10.5194/acp-16-8593-2016</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib29"><label>29</label><mixed-citation>
McCrowey, C. J., Tinilau, S. S., Calderon, G., Koo, J.-E., and Curtis, D. B.:
A Portable High-Resolution Polar Nephelometer for Measurement of the Angular
Scattering Properties of Atmospheric Aerosol: Design and Validation, Aerosol
Sci. Tech., 47, 592–605, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib30"><label>30</label><mixed-citation>
Miyamoto, K.: Fish Eye Lens, J. Opt. Soc. Am., 54, 1060–1061,
<a href="https://doi.org/10.1364/JOSA.54.001060" target="_blank">https://doi.org/10.1016/10.1364/JOSA.54.001060</a>, 1964.
</mixed-citation></ref-html>
<ref-html id="bib1.bib31"><label>31</label><mixed-citation>
Müller, T., Laborde, M., Kassell, G., and Wiedensohler, A.: Design and
performance of a three-wavelength LED-based total scatter and backscatter
integrating nephelometer, Atmos. Meas. Tech., 4, 1291–1303,
<a href="https://doi.org/10.5194/amt-4-1291-2011" target="_blank">https://doi.org/10.1016/10.5194/amt-4-1291-2011</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib32"><label>32</label><mixed-citation>
Muñoz, O., Volten, H., de Haan, J. F., Vassen, W., and Hovenier, J. W.:
Experimental determination of scattering matrices of randomly oriented fly
ash and clay particles at 442 and 633 nm, J. Geophys. Res.-Atmos., 106,
22833–22844, <a href="https://doi.org/10.1029/2000JD000164" target="_blank">https://doi.org/10.1016/10.1029/2000JD000164</a>, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib33"><label>33</label><mixed-citation>
Muñoz, O., Volten, H., de Haan, J. F., Vassen, W., and Hovenier, J. W.:
Experimental determination of the phase function and degree of linear
polarization of El Chichón and Pinatubo volcanic ashes, J. Geophys.
Res.-Atmos., 107, ACL 4-1–ACL 4-8, <a href="https://doi.org/10.1029/2001JD000983" target="_blank">https://doi.org/10.1016/10.1029/2001JD000983</a>, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib34"><label>34</label><mixed-citation>
Muñoz, O., Moreno, F., Guirado, D., Ramos, J. L., López, A., Girela,
F., Jerónimo, J. M., Costillo, L. P., and Bustamante, I.: Experimental
determination of scattering matrices of dust particles at visible
wavelengths: The IAA light scattering apparatus, J. Quant. Spectrosc. Ra.,
111, 187–196, <a href="https://doi.org/10.1016/j.jqsrt.2009.06.011" target="_blank">https://doi.org/10.1016/10.1016/j.jqsrt.2009.06.011</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib35"><label>35</label><mixed-citation>
Muñoz, O. and Hovenier, J. W.: Laboratory measurements of single light
scattering by ensembles of randomly oriented small irregular particles in
air. A review, J. Quant. Spectrosc. Ra., 112, 1646–1657,
<a href="https://doi.org/10.1016/j.jqsrt.2011.02.005" target="_blank">https://doi.org/10.1016/10.1016/j.jqsrt.2011.02.005</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib36"><label>36</label><mixed-citation>
Omar, A. H., Won, J.-G., Winker, D. M., Yoon, S.-C., Dubovik, O., and
McCormick, M. P.: Development of global aerosol models using cluster analysis
of Aerosol Robotic Network (AERONET) measurements, J. Geophys. Res.-Atmos.,
110, D10S14, <a href="https://doi.org/10.1029/2004JD004874" target="_blank">https://doi.org/10.1016/10.1029/2004JD004874</a>, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib37"><label>37</label><mixed-citation>
Omar, A. H., Winker, D. M., Vaughan, M. A., Hu, Y., Trepte, C. R., Ferrare,
R. A., Lee, K.-P., Hostetler, C. A., Kittaka, C., Rogers, R. R., Kuehn, R.
E., and Liu, Z.: The CALIPSO Automated Aerosol Classification and Lidar Ratio
Selection Algorithm, J. Atmos. Ocean. Tech., 26, 1994–2014, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib38"><label>38</label><mixed-citation>
Pachauri, R. K., Allen, M. R., Barros, V. R., Broome, J., Cramer, W., Christ,
R., Church, J. A., Clarke, L., Dahe, Q., Dasgupta, P., Dubash, N. K.,
Edenhofer, O., Elgizouli, I., Field, C. B., Forster, P., Friedlingstein, P.,
Fuglestvedt, J., Gomez-Echeverri, L., Hallegatte, S., Hegerl, G., Howden, M.,
Jiang, K., Jimenez Cisneroz, B., Kattsov, V., Lee, H., Mach, K. J., Marotzke,
J., Mastrandrea, M. D., Meyer, L., Minx, J., Mulugetta, Y., O'Brien, K.,
Oppenheimer, M., Pereira, J. J., Pichs-Madruga, R., Plattner, G.-K.,
Pörtner, H.-O., Power, S. B., Preston, B., Ravindranath, N. H.,
Reisinger, A., Riahi, K., Rusticucci, M., Scholes, R., Seyboth, K., Sokona,
Y., Stavins, R., Stocker, T. F., Tschakert, P., van Vuuren, D., and van
Ypserle, J.-P.: Climate Change 2014: Synthesis Report. Contribution of
Working Groups I, II and III to the Fifth Assessment Report of the
Intergovernmental Panel on Climate Change, edited by: Pachauri, R. K. and
Meyer, L., IPCC, Geneva, Switzerland, 151 pp., 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib39"><label>39</label><mixed-citation>
Rissler, J., Vestin, A., Swietlicki, E., Fisch, G., Zhou, J., Artaxo, P., and
Andreae, M. O.: Size distribution and hygroscopic properties of aerosol
particles from dry-season biomass burning in Amazonia, Atmos. Chem. Phys., 6,
471–491, <a href="https://doi.org/10.5194/acp-6-471-2006" target="_blank">https://doi.org/10.1016/10.5194/acp-6-471-2006</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib40"><label>40</label><mixed-citation>
Seinfeld, J. H. and Pandis, S. N.: Atmospheric Chemistry and Physics, Second
Edn., John Wiley &amp; Sons, Hoboken, New Jersey, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib41"><label>41</label><mixed-citation>
Tao, J. C., Zhao, C. S., Ma, N., and Liu, P. F.: The impact of aerosol
hygroscopic growth on the single-scattering albedo and its application on the
NO<sub>2</sub> photolysis rate coefficient, Atmos. Chem. Phys., 14, 12055–12067,
<a href="https://doi.org/10.5194/acp-14-12055-2014" target="_blank">https://doi.org/10.1016/10.5194/acp-14-12055-2014</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib42"><label>42</label><mixed-citation>
Wex, H., Neusüß, C., Wendisch, M., Stratmann, F., Koziar, C., Keil,
A., Wiedensohler, A., and Ebert, M.: Particle scattering, backscattering, and
absorption coefficients: An in situ closure and sensitivity study, J.
Geophys. Res.-Atmos., 107, LAC 4-1–LAC 4-18, <a href="https://doi.org/10.1029/2000JD000234" target="_blank">https://doi.org/10.1016/10.1029/2000JD000234</a>, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib43"><label>43</label><mixed-citation>
Xu, W. Y., Zhao, C. S., Ran, L., Deng, Z. Z., Liu, P. F., Ma, N., Lin, W. L.,
Xu, X. B., Yan, P., He, X., Yu, J., Liang, W. D., and Chen, L. L.:
Characteristics of pollutants and their correlation to meteorological
conditions at a suburban site in the North China Plain, Atmos. Chem. Phys.,
11, 4353–4369, <a href="https://doi.org/10.5194/acp-11-4353-2011" target="_blank">https://doi.org/10.1016/10.5194/acp-11-4353-2011</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib44"><label>44</label><mixed-citation>
Zhu, J., Xia, X., Wang, J., Zhang, J., Wiedinmyer, C., Fisher, J. A., and
Keller, C.: Impact of Southeast Asian smoke on aerosol properties in
Southwest China: first comparison of model simulations with satellite and
ground observations, J. Geophys. Res.-Atmos., 122, 3904–3919,
<a href="https://doi.org/10.1002/2016jd025793" target="_blank">https://doi.org/10.1016/10.1002/2016jd025793</a>, 2017.
</mixed-citation></ref-html>--></article>
