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<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing with OASIS Tables v3.0 20080202//EN" "journalpub-oasis3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" xml:lang="en" dtd-version="3.0">
  <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-12-3541-2019</article-id><title-group><article-title>Method to measure the size-resolved real part of aerosol refractive index
using differential mobility analyzer in tandem with single-particle soot
photometer</article-title><alt-title>Method to measure the size-resolved real part of aerosol refractive index</alt-title>
      </title-group><?xmltex \runningtitle{Method to measure the size-resolved real part of aerosol refractive index}?><?xmltex \runningauthor{G.~Zhao et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="no">
          <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">
          <name><surname>Zhao</surname><given-names>Weilun</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name><surname>Zhao</surname><given-names>Chunsheng</given-names></name>
          <email>zcs@pku.edu.cn</email>
        </contrib>
        <aff id="aff1"><institution>Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Chunsheng Zhao (zcs@pku.edu.cn)</corresp></author-notes><pub-date><day>3</day><month>July</month><year>2019</year></pub-date>
      
      <volume>12</volume>
      <issue>7</issue>
      <fpage>3541</fpage><lpage>3550</lpage>
      <history>
        <date date-type="received"><day>14</day><month>November</month><year>2018</year></date>
           <date date-type="rev-request"><day>27</day><month>November</month><year>2018</year></date>
           <date date-type="rev-recd"><day>13</day><month>June</month><year>2019</year></date>
           <date date-type="accepted"><day>14</day><month>June</month><year>2019</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2019 Gang Zhao et al.</copyright-statement>
        <copyright-year>2019</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://amt.copernicus.org/articles/12/3541/2019/amt-12-3541-2019.html">This article is available from https://amt.copernicus.org/articles/12/3541/2019/amt-12-3541-2019.html</self-uri><self-uri xlink:href="https://amt.copernicus.org/articles/12/3541/2019/amt-12-3541-2019.pdf">The full text article is available as a PDF file from https://amt.copernicus.org/articles/12/3541/2019/amt-12-3541-2019.pdf</self-uri>
      <abstract><title>Abstract</title>
    <p id="d1e95">Knowledge on the refractive index of ambient aerosols can help reduce the
uncertainties in estimating aerosol radiative forcing. A new method is
proposed to retrieve the size-resolved real part of the refractive index (RRI).
The main principle of deriving the RRI is measuring the scattering intensity by
a single-particle soot photometer (SP2) of size-selected aerosols. This method is
validated by a series of calibration experiments using the components of
the known RRI. The retrieved size-resolved RRI covers a wide range, from 200 to
450 nm, with uncertainty of less than 0.02. Measurements of the size-resolved
RRI can improve the understanding of the aerosol radiative effects.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e107">Aerosols exert significant influence on the earth energy budget by
scattering and absorbing radiation (Ramanathan and Carmichael, 2008).
Great uncertainties still remain when estimating the aerosol-effective
radiative forcing (RF; Ghan and Schwartz, 2007), and an accurate
estimation of the aerosol optical properties can help reduce the RF
variations. The optical properties of the ambient aerosol particles are
determined by their particle size and complex refractive index (RI;
<inline-formula><mml:math id="M1" display="inline"><mml:mrow><mml:mi>m</mml:mi><mml:mo>=</mml:mo><mml:mi>n</mml:mi><mml:mo>+</mml:mo><mml:mi>k</mml:mi><mml:mi>i</mml:mi></mml:mrow></mml:math></inline-formula>; Bohren and Huffman, 2007; Levoni et al., 1997). Despite the fact that the
ambient aerosol particle size distribution can be measured with high
accuracy (Wiedensohler et al., 2012), an accurate measurement of the
ambient aerosol RI remains challenging. The RI is also widely used in remote
sensing (Redemann et al., 2000; Dubovik, 2002; Zhao et al., 2017) and
atmospheric modeling (Ghan and Schwartz, 2007; Kuang et al., 2015)
because the aerosol single scattering albedo (SSA) and aerosol-scattering-phase function are highly related to the RI. At the same time, a small
uncertainty in the real part of the RI (RRI) can lead to great uncertainties
when estimating the aerosol RF. Zarzana et al. (2014) found that
a variation of 0.003 in the RRI can lead to uncertainties of 1 % in RF for
non-absorbing ammonium sulfate particles. Moise et al. (2015)
estimated that the RF would increase by 12 % if the RRI varies from 1.4 to
1.5. Valenzuela et al. (2018) reported that the uncertainties in RF
are estimated to be 7 % when the aerosol RRI varies by 0.1. Therefore, it
is pressing that the uncertainties of the RI be reduced when estimating the
RF.</p>
      <p id="d1e128">Many methods were proposed to derive the RRI. The RRI can be estimated with
the linear volume average of the known aerosol chemical components by
          <disp-formula id="Ch1.E1" content-type="numbered"><label>1</label><mml:math id="M2" display="block"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:msub><mml:mo>∑</mml:mo><mml:mi>i</mml:mi></mml:msub><mml:msub><mml:mi>f</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msub><mml:mi>n</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
        where <inline-formula><mml:math id="M3" display="inline"><mml:mrow><mml:msub><mml:mi>f</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M4" display="inline"><mml:mrow><mml:msub><mml:mi>n</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> are the volume fraction and known partial
refractive index of <inline-formula><mml:math id="M5" display="inline"><mml:mi>i</mml:mi></mml:math></inline-formula>th component (Wex et al., 2002; Hand and Kreidenweis,
2002; Hänel, 1968; Liu and Daum, 2008). The aerosol RRI can also be
calculated by a partial molar refraction approach (Stelson, 1990; Hu et al.,
2012) which is essentially consistent with the linear volume method
(Liu and Daum, 2008). The ambient aerosol RRI can be derived by
synthetically using the radiative transfer calculations and the ground-based
solar extinction and scattering measurements (Wendisch and
Hoyningen-Huene, 1994, 1992). Sorooshian et al. (2008)
developed a method to measure the aerosol RRI based on the differential
mobility analyzer (DMA) and optical particle counters (OPCs). The RRI could be
retrieved from the known particle size from the<?pagebreak page3542?> DMA and the aerosol-scattering intensity from the OPC for aerosol
particles larger than 500 nm. The scanning mobility particle sizer (SMPS)
and OPC were used in combination to derive the RRI by aligning the particle
size distributions in the instrument-overlap regions (Hand and
Kreidenweis, 2002; Vratolis et al., 2018). The aerosol-effective RRI was also
retrieved by applying the Mie scattering theory to the aerosol particle number
size distribution (PNSD), aerosol bulk scattering coefficient and aerosol absorbing
coefficient data (Cai et al., 2011; Liu and Daum, 2000).
Spindler et al. (2007) retrieved the aerosol RRI value by using
the cavity ring-down spectroscopy for measuring the scattering and absorbing
properties of bulk aerosols. Eidhammer et al. (2008) measured the light
scattering at different angles and retrieved the RRI. Similarly, the aerosol
RRI was retrieved by measuring the aerosol-phase function (Barkey et
al., 2007). Recently, a method using single-particle mass
spectrometry was proposed to measure the aerosol RRI (Zhang et al.,
2015). At the same time, the aerosol time-of-flight mass spectrometer proved
to be capable of measuring the aerosol RRI (Moffet et al., 2008). The
aerosol RRI can also be retrieved from the Mie spectroscopy by using the
optical tweezers in the laboratory (Shepherd et al., 2018).</p>
      <p id="d1e188">Many studies show that aerosols of different diameters share different
properties, such as shape (Zhang et al., 2016; Peng et al., 2016), density
(Qiao et al., 2018), aerosol hygroscopicity (Wang et al.,
2017) and, most importantly, the chemical components (Liu et al., 2014; Hu
et al., 2012). Thus, there might be significant variations in the aerosol
RRI for aerosols of different diameters because the aerosol RRI is highly
related to the aerosol density (Liu and Daum, 2008) and chemical
components (Stelson, 1990). On the other hand, information on
the size-resolved aerosol RRI can help with studying the chemical information and
the aging process of aerosols among different diameters. Therefore,
measurement of the size-resolved aerosol RRI is necessary.</p>
      <p id="d1e191">Up to now, there is little information in the literature on the size-resolved
ambient aerosol RRI (Ebert et al., 2002, 2004; Kandler et al., 2007). Traditionally, the size-resolved ambient aerosol RRI is
estimated by measuring the molar fraction or volume fraction of the main aerosol
chemical compositions. However, the influence of the organic component on the
aerosol RRI is ignored. The organic component contributes more than 20 %
of the total aerosol component in the North China Plain (Hu et al.,
2012; Liu et al., 2014). At the same time, the RRI of the organic aerosol changes
significantly between 1.36 and 1.66 (Moise et al., 2015). Ignoring the
organic component may lead to significantly uncertainties when estimating
the aerosol RRI. There were no techniques, to our knowledge, that directly
measure the size-resolved aerosol optical properties and derive the
size-resolved aerosol RRI.</p>
      <p id="d1e195">In this study, a novel method is proposed to measure the size-resolved
ambient aerosol RRI by using a DMA in tandem with a single-particle soot
photometer (SP2). The principle of the system is using the SP2 to measure
the scattering properties of size-selected aerosols. Knowing the aerosol
diameter and corresponding scattering intensity, the size-resolved aerosol
RRI can be retrieved based on the Mie scattering theory. This proposed
method can measure the ambient aerosol RRI over a wide size range and with high
accuracy. The measurement system is employed in a field campaign in the
North China Plain, and the corresponding results are discussed further.</p>
      <p id="d1e198">The structure of this paper is as follows: Sect. 2 provides the
instruments setup and details of the instrument. The method for retrieving the
size-resolved aerosol RRI is given in Sect. 3. Section 4 shows the
discussions about the uncertainties of the proposed method and field
measurements results of the size-resolved aerosol RRI. Conclusions are discussed last.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Instrument</title>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Instrument setup</title>
      <p id="d1e216">The instrument setup is schematically shown in Fig. 1a. Firstly, the dried
sample aerosols are guided to a X-ray soft diffusion charger and then lead
to a DMA (Model 3081, TSI, USA). The quasi-monodisperse aerosols that pass
though the DMA at a given diameter are then drawn into an SP2 to measure the
aerosol-scattering properties with a flow ratio of 0.12 L min<inline-formula><mml:math id="M6" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> and a
condensation particle counter (CPC; Model 3776, TSI, USA) to count the
aerosol number concentration with a flow ratio of 0.28 L min<inline-formula><mml:math id="M7" 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>.
Thus, the sample flow (<inline-formula><mml:math id="M8" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) of the DMA is 0.4 L min<inline-formula><mml:math id="M9" 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>. Accordingly, the
sheath flow (<inline-formula><mml:math id="M10" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mi mathvariant="normal">sh</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) of the DMA is 4 L min<inline-formula><mml:math id="M11" 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 DMA is set to scan the
aerosol diameter from 12.3 to 697 nm over a period of 285 s and repeats
after a pause of 15 s. The combination of the DMA, CPC and SP2 can provide
information on aerosol PNSD and size-resolved RRI.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><?xmltex \currentcnt{1}?><label>Figure 1</label><caption><p id="d1e292"><bold>(a)</bold> Schematic of the measurement system. <bold>(b)</bold> Diagram of SP2
chamber.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://amt.copernicus.org/articles/12/3541/2019/amt-12-3541-2019-f01.png"/>

        </fig>

      <p id="d1e306">On 8 June 2018, the measurement system was employed at the field
measurement of the AERONET station of BEIJING_PKU (39<inline-formula><mml:math id="M12" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>59<inline-formula><mml:math id="M13" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> N, 116<inline-formula><mml:math id="M14" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>18<inline-formula><mml:math id="M15" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> E) to test the reliability of
retrieving the ambient size-resolved RRI. This measurement site is located in
the northwest of the city of Beijing, China, and is about 1.8 km north of
the Zhongguancun, Haidian district, which is one of the busiest areas in
Beijing. It is surrounded by two main streets: Zhongguancun North Street to
the west and Chengfu Road to the south. This site can provide representative
information on the urban roadside aerosols (Zhao et al., 2018).</p>
</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>DMA</title>
      <?pagebreak page3543?><p id="d1e353">When a voltage (<inline-formula><mml:math id="M16" display="inline"><mml:mi>V</mml:mi></mml:math></inline-formula>) is applied to the DMA, only a narrow size range of aerosol
particles, with the same electrical mobility (<inline-formula><mml:math id="M17" display="inline"><mml:mrow><mml:msub><mml:mi>Z</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>), can pass through the
DMA (Knutson and Whitby, 1975). The <inline-formula><mml:math id="M18" display="inline"><mml:mrow><mml:msub><mml:mi>Z</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is expressed as
            <disp-formula id="Ch1.E2" content-type="numbered"><label>2</label><mml:math id="M19" display="block"><mml:mrow><mml:msub><mml:mi>Z</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mi mathvariant="normal">sh</mml:mi></mml:msub></mml:mrow><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="italic">π</mml:mi><mml:mi>V</mml:mi><mml:mi>L</mml:mi></mml:mrow></mml:mfrac></mml:mstyle><mml:mi>ln⁡</mml:mi><mml:mfenced open="(" close=")"><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi>r</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:mfrac></mml:mstyle></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M20" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mi mathvariant="normal">sh</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the sheath flow rate, <inline-formula><mml:math id="M21" display="inline"><mml:mi>L</mml:mi></mml:math></inline-formula> is the length of the DMA, <inline-formula><mml:math id="M22" display="inline"><mml:mrow><mml:msub><mml:mi>r</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> is
the outer radius of annular space and <inline-formula><mml:math id="M23" display="inline"><mml:mrow><mml:msub><mml:mi>r</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> is the inner radius of the
annular space. The transfer function refers to the probability that a
particle with a certain electrical mobility can pass through the DMA. For a
given <inline-formula><mml:math id="M24" display="inline"><mml:mi>V</mml:mi></mml:math></inline-formula>, the transfer function is shaped like a triangle, with the peaking value
of 100 % and a half width (HW) of
            <disp-formula id="Ch1.E3" content-type="numbered"><label>3</label><mml:math id="M25" display="block"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>Z</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mi>Z</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mi mathvariant="normal">a</mml:mi></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mi mathvariant="normal">sh</mml:mi></mml:msub></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula>
          The aerosol <inline-formula><mml:math id="M26" display="inline"><mml:mrow><mml:msub><mml:mi>Z</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, which is highly related to the aerosol diameter
(<inline-formula><mml:math id="M27" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) and the number of elementary charges on the particle (<inline-formula><mml:math id="M28" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>), is defined
as
            <disp-formula id="Ch1.E4" content-type="numbered"><label>4</label><mml:math id="M29" display="block"><mml:mrow><mml:msub><mml:mi>Z</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi>n</mml:mi><mml:mi>e</mml:mi><mml:mi>C</mml:mi><mml:mfenced close=")" open="("><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:mfenced></mml:mrow><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mi mathvariant="italic">π</mml:mi><mml:mi mathvariant="italic">μ</mml:mi><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M30" display="inline"><mml:mi>e</mml:mi></mml:math></inline-formula> is the elementary charge, <inline-formula><mml:math id="M31" display="inline"><mml:mi mathvariant="italic">μ</mml:mi></mml:math></inline-formula> is the gas viscosity coefficient, and
<inline-formula><mml:math id="M32" display="inline"><mml:mrow><mml:mi>C</mml:mi><mml:mo>(</mml:mo><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) is the Cunningham slip correction that is defined by
            <disp-formula id="Ch1.E5" content-type="numbered"><label>5</label><mml:math id="M33" display="block"><mml:mrow><mml:mi>C</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn><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">τ</mml:mi></mml:mrow><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:mfrac></mml:mstyle><mml:mfenced close=")" open="("><mml:mrow><mml:mn mathvariant="normal">1.142</mml:mn><mml:mo>+</mml:mo><mml:mn mathvariant="normal">0.558</mml:mn><mml:msup><mml:mi>e</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mstyle scriptlevel="+1"><mml:mfrac><mml:mrow><mml:mn mathvariant="normal">0.999</mml:mn><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="italic">τ</mml:mi></mml:mrow></mml:mfrac></mml:mstyle></mml:mrow></mml:msup></mml:mrow></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M34" display="inline"><mml:mi mathvariant="italic">τ</mml:mi></mml:math></inline-formula> is the gas mean-free path.</p>
      <p id="d1e686">Based on the discussion above, the aerosols that pass through the DMA with
the same <inline-formula><mml:math id="M35" display="inline"><mml:mrow><mml:msub><mml:mi>Z</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> can have different <inline-formula><mml:math id="M36" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> values and different elementary charges.</p>
</sec>
<sec id="Ch1.S2.SS3">
  <label>2.3</label><title>SP2</title>
      <p id="d1e719">The SP2 is a widely used instrument that can measure the optical properties
of every single particle. The measurement principle and instrumental setup
of the SP2 have been discussed in detail previously (Stephens et al.,
2003; Schwarz et al., 2006) and will be briefly described here. When the
sample aerosol particles pass through the continuous Nd:YAG laser beam at
1064 nm with the circulating power of about 1 mW cm<inline-formula><mml:math id="M37" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in the cavity,
eight sensors distributed at four directions synchronously detect the
emitted or scattered light by using an avalanche photodetector (APD) at
different angles (45 and 135<inline-formula><mml:math id="M38" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>). For each direction, the two
APDs sample the same signal with different sensitivities to get a wider
measurement range. The low-gain channels are less sensitive to the measured
signal and can be used to measure the stronger signal of larger particles.
Accordingly, the high-gain channels are more sensitive to the measured
signal and can be used to measure the weaker signal of smaller particles.
The optical head of the SP2 is shown schematically in Fig. 1b.</p>
      <p id="d1e743">In this study, we utilize signals from four channels of the SP2: two of them
measure the scattering signals, and another two measure the incandescent
light between 350 and 800 nm. The peak height (<inline-formula><mml:math id="M39" display="inline"><mml:mi>H</mml:mi></mml:math></inline-formula>) of the incandescence
signals is used to infer whether the sampled aerosol contains black
carbon (BC). If the <inline-formula><mml:math id="M40" display="inline"><mml:mi>H</mml:mi></mml:math></inline-formula> of the incandescence signal is larger than 500, the
sample aerosol contains BC and the scattering signals should deviate
from the signals of pure scattering aerosols. Those sample aerosols are not
considered when dealing with the aerosol-scattering signals. This is
achieved by just studying the signals when the particles are recognized as
pure scattering particles.</p>
      <p id="d1e760">Despite some aerosol particles being internally mixed with a small BC
core, whose incandescence signal is below the detection threshold of SP2, we
demonstrate that these particles have little influence on the retrieved
aerosol RRI. At the same time, there are some weakly absorbing organic
components that absorb light intensity in the near-infrared range, which
were termed as brown carbon (BrC). These BrC components have insignificant
influence on the retrieving of the aerosol RRI, which will be discussed in
detail in Sect. 4.2. Thus, the imaginary part of complex refractive index
is set to zero in the following discussion.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Methodology</title>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Scattering intensity measured by the SP2</title>
      <?pagebreak page3544?><p id="d1e779">From Fig. 1b, the APDs of the SP2 receive signals that were scattered by
the sampled aerosols in a certain small range at 45  and
135<inline-formula><mml:math id="M41" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>. Thus, the scattering intensity (<inline-formula><mml:math id="M42" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula>) measured by the APD can
be expressed as
            <disp-formula id="Ch1.E6" content-type="numbered"><label>6</label><mml:math id="M43" display="block"><mml:mrow><mml:mi>S</mml:mi><mml:mo>=</mml:mo><mml:msub><mml:mi>C</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><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 mathvariant="italic">σ</mml:mi><mml:mo>⋅</mml:mo><mml:mo mathsize="2.5em">(</mml:mo><mml:msub><mml:mi mathvariant="normal">PF</mml:mi><mml:mrow><mml:mn mathvariant="normal">45</mml:mn><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:msub><mml:mo>+</mml:mo><mml:msub><mml:mi mathvariant="normal">PF</mml:mi><mml:mrow><mml:mn mathvariant="normal">135</mml:mn><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:msub><mml:mo mathsize="2.5em">)</mml:mo><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M44" 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 laser's intensity, <inline-formula><mml:math id="M45" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> is the scattering
coefficient of the sampled aerosols, PF<inline-formula><mml:math id="M46" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">45</mml:mn></mml:msub></mml:math></inline-formula> and PF<inline-formula><mml:math id="M47" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">135</mml:mn><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:msub></mml:math></inline-formula>
are scattering phase function at 45  and 135<inline-formula><mml:math id="M48" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> respectively of the
sampled aerosols, and <inline-formula><mml:math id="M49" display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> is a constant that is
determined by the distance from the aerosol to the APD and the area of the
APD. The scattering intensity of the aerosol is recorded as the <inline-formula><mml:math id="M50" display="inline"><mml:mi>H</mml:mi></mml:math></inline-formula> of the
scattering signals in SP2. The following calibration studies show that the
scattering intensity <inline-formula><mml:math id="M51" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula> is highly related to the <inline-formula><mml:math id="M52" display="inline"><mml:mi>H</mml:mi></mml:math></inline-formula> measured by SP2. Therefore,
the SP2 can be used as a powerful tool to measure the scattering signals of
the sampled aerosols, thus determining the corresponding scattering
intensity.</p>
      <p id="d1e939">Based on the Mie scattering theory, the scattering coefficient <inline-formula><mml:math id="M53" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> can
be calculated by integrating the square of scattering intensity function
<inline-formula><mml:math id="M54" display="inline"><mml:mrow><mml:mi>Q</mml:mi><mml:mo>(</mml:mo><mml:mi mathvariant="italic">θ</mml:mi><mml:mo>,</mml:mo><mml:mi>x</mml:mi><mml:mo>,</mml:mo><mml:mi mathvariant="normal">RRI</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> from 0 to 180<inline-formula><mml:math id="M55" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>. Angle <inline-formula><mml:math id="M56" display="inline"><mml:mi mathvariant="italic">θ</mml:mi></mml:math></inline-formula> is defined as the angle between the light incident direction and
scattering-light direction. The size parameter <inline-formula><mml:math id="M57" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula> is defined as
<inline-formula><mml:math id="M58" display="inline"><mml:mrow><mml:mi>x</mml:mi><mml:mo>=</mml:mo><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mi mathvariant="italic">π</mml:mi><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow><mml:mi mathvariant="italic">λ</mml:mi></mml:mfrac></mml:mstyle></mml:mrow></mml:math></inline-formula>, where <inline-formula><mml:math id="M59" display="inline"><mml:mi mathvariant="italic">λ</mml:mi></mml:math></inline-formula> is the light
incident wavelength. The scattering phase function can be directly derived
from <inline-formula><mml:math id="M60" display="inline"><mml:mrow><mml:mi>S</mml:mi><mml:mfenced open="(" close=")"><mml:mrow><mml:mi mathvariant="italic">θ</mml:mi><mml:mo>,</mml:mo><mml:mi>x</mml:mi><mml:mo>,</mml:mo><mml:mi>m</mml:mi></mml:mrow></mml:mfenced></mml:mrow></mml:math></inline-formula>, too. Therefore, the
<inline-formula><mml:math id="M61" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula>, PF<inline-formula><mml:math id="M62" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">45</mml:mn><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:msub></mml:math></inline-formula> and PF <inline-formula><mml:math id="M63" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">135</mml:mn><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:msub></mml:math></inline-formula> in Eq. (6) are
determined by the <inline-formula><mml:math id="M64" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and RRI of the aerosol. The amount of scattering signals
from the sample aerosol varies with the aerosol <inline-formula><mml:math id="M65" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and RRI (Bohren and
Huffman, 2007). The scattering intensity at different aerosol diameters and
RRI is calculated based on Eq. (6) and shown in Fig. 2. The  <inline-formula><mml:math id="M66" display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> is
assumed to be 1 here. From Fig. 2, we can see that the aerosol-scattering
intensity increases monotonously with the increasing aerosol RRI at a given
<inline-formula><mml:math id="M67" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, which makes it possible to retrieve the aerosol RRI with given <inline-formula><mml:math id="M68" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and the
scattering intensity.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2"><?xmltex \currentcnt{2}?><label>Figure 2</label><caption><p id="d1e1137">The distribution of the aerosol-scattering intensity at a different
<inline-formula><mml:math id="M69" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and different RRI.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://amt.copernicus.org/articles/12/3541/2019/amt-12-3541-2019-f02.png"/>

        </fig>

      <p id="d1e1158">Bridging the scattering <inline-formula><mml:math id="M70" display="inline"><mml:mi>H</mml:mi></mml:math></inline-formula> values measured by the SP2 scattering channel and
the scattering intensity <inline-formula><mml:math id="M71" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula> defined by Eq. (6) is achieved by calibrating
the SP2 with ammonium sulfate. The instrument setup of the calibration
procedure is the same as that described in Sect. 2.1. The diameters of the
aerosols passing through the DMA are manually changed from 100 to 450 nm
with a step of 10 nm. For each diameter, the scattering <inline-formula><mml:math id="M72" display="inline"><mml:mi>H</mml:mi></mml:math></inline-formula> value and
incandescence signal of every particle are analyzed. When calibrating, there
is no aerosol that has an incandescence signal exceeding 1000 (this value depends on
the stability of the instrument and working conditions; this can be different
for different instruments), which means that the SP2 works stably and the
incandescence signal channel can distinguish the BC-containing
aerosols well. With the calibration, the relationship between the measured <inline-formula><mml:math id="M73" display="inline"><mml:mi>H</mml:mi></mml:math></inline-formula> and
theoretically calculated <inline-formula><mml:math id="M74" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula> can be determined.</p>
      <p id="d1e1196">The procedure of retrieving the RRI is summarized as follows: (1) measuring
the scattering <inline-formula><mml:math id="M75" display="inline"><mml:mi>H</mml:mi></mml:math></inline-formula> values at a given <inline-formula><mml:math id="M76" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, (2) transferring the <inline-formula><mml:math id="M77" display="inline"><mml:mi>H</mml:mi></mml:math></inline-formula> into to <inline-formula><mml:math id="M78" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula> by the
established relationship from calibration, and (3) calculating the refractive
index with the given <inline-formula><mml:math id="M79" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>  and <inline-formula><mml:math id="M80" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula> by using Eq. (6).</p>
</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Multiple charging</title>
      <p id="d1e1258">Figure S1 in the Supplement gives the aerosol-scattering <inline-formula><mml:math id="M81" display="inline"><mml:mi>H</mml:mi></mml:math></inline-formula> probability distribution under
different aerosol diameters. For each diameter, the distributions of the
scattering <inline-formula><mml:math id="M82" display="inline"><mml:mi>H</mml:mi></mml:math></inline-formula> may have more than one mode for both the high-gain and low-gain
channels. The following discussions would give an explanation about the
multiple mode distributions of <inline-formula><mml:math id="M83" display="inline"><mml:mi>H</mml:mi></mml:math></inline-formula>.</p>
      <p id="d1e1282">For each mode, the number of recorded aerosol particles at a given <inline-formula><mml:math id="M84" display="inline"><mml:mi>H</mml:mi></mml:math></inline-formula> is fit
by the log-normal distribution function
            <disp-formula id="Ch1.E7" content-type="numbered"><label>7</label><mml:math id="M85" display="block"><mml:mrow><mml:mi>N</mml:mi><mml:mfenced open="(" close=")"><mml:mrow><mml:mi>H</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/></mml:mrow></mml:mfenced><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow><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>log⁡</mml:mi><mml:mo>(</mml:mo><mml:msub><mml:mi mathvariant="italic">σ</mml:mi><mml:mi mathvariant="normal">g</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>⋅</mml:mo><mml:mi>exp⁡</mml:mi><mml:mfenced open="[" close="]"><mml:mrow><mml:mo>-</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi>log⁡</mml:mi><mml:mfenced open="(" close=")"><mml:mi>H</mml:mi></mml:mfenced><mml:mo>-</mml:mo><mml:mi>log⁡</mml:mi><mml:mo>(</mml:mo><mml:msub><mml:mi>H</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:msup><mml:mi>log⁡</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mfenced open="(" close=")"><mml:mrow><mml:msub><mml:mi mathvariant="italic">σ</mml:mi><mml:mi mathvariant="normal">g</mml:mi></mml:msub></mml:mrow></mml:mfenced></mml:mrow></mml:mfrac></mml:mstyle></mml:mrow></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          where <inline-formula><mml:math id="M86" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">σ</mml:mi><mml:mi mathvariant="normal">g</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the geometric standard deviation, <inline-formula><mml:math id="M87" display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> is the geometric mean value of <inline-formula><mml:math id="M88" display="inline"><mml:mi>H</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M89" 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
number concentrations for a peak mode. The geometric standard deviation is
highly related to the half width of the transfer function (Eq. 3). The
<inline-formula><mml:math id="M90" display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> is further used for discussion in the following part.</p>
      <p id="d1e1431">The <inline-formula><mml:math id="M91" display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> values corresponding to different elementary charges are
labeled with different markers in Fig. 3. The <inline-formula><mml:math id="M92" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">σ</mml:mi><mml:mi mathvariant="normal">g</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is fitted to be
a small range at <inline-formula><mml:math id="M93" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.182</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.02</mml:mn></mml:mrow></mml:math></inline-formula> for different modes and different aerosol
diameters. In the following discussion, we conclude that the different
<inline-formula><mml:math id="M94" display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> values in Fig. 3 represent the aerosols being charged with
a different number of elementary charges. Based on the Mie scattering theory
(Bohren and Huffman, 2007), the scattering intensity
increases with increasing <inline-formula><mml:math id="M95" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, which implies that the <inline-formula><mml:math id="M96" display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> of the singly
charged aerosol should increase with the increment of <inline-formula><mml:math id="M97" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>. Thus, the black
square markers in Fig. 3 represent the aerosols that are singly charged. At
the same time, the relationships between the <inline-formula><mml:math id="M98" display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M99" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> can be
interpolated.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><?xmltex \currentcnt{3}?><label>Figure 3</label><caption><p id="d1e1538">The geometric mean peak height for different diameters of the high-gain channel. The markers gives the measured values, and the dotted line
shows the theoretically calculated value. Different colors represent the
different number of elementary charges.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://amt.copernicus.org/articles/12/3541/2019/amt-12-3541-2019-f03.png"/>

        </fig>

      <p id="d1e1547">Other colored markers represent the aerosols having more than one charge.
We calculated the corresponding diameter (<inline-formula><mml:math id="M100" display="inline"><mml:mrow><mml:msub><mml:mover accent="true"><mml:mi>D</mml:mi><mml:mo mathvariant="normal">̃</mml:mo></mml:mover><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) of the aerosols that
share the same <inline-formula><mml:math id="M101" display="inline"><mml:mrow><mml:msub><mml:mi>Z</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> but different charges with those particles that have
a diameter of <inline-formula><mml:math id="M102" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> with one charge. Next the corresponding <inline-formula><mml:math id="M103" display="inline"><mml:mover accent="true"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow><mml:mo mathvariant="normal">̃</mml:mo></mml:mover></mml:math></inline-formula> at
<inline-formula><mml:math id="M104" display="inline"><mml:mrow><mml:msub><mml:mover accent="true"><mml:mi>D</mml:mi><mml:mo mathvariant="normal">̃</mml:mo></mml:mover><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> ia calculated. Then the relationship between <inline-formula><mml:math id="M105" display="inline"><mml:mover accent="true"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow><mml:mo mathvariant="normal">̃</mml:mo></mml:mover></mml:math></inline-formula>
and <inline-formula><mml:math id="M106" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is shown in the dashed line in Fig. 3a. From Fig. 3a, the calculated
<inline-formula><mml:math id="M107" display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> shows good consistency with the measured <inline-formula><mml:math id="M108" display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>.</p>
      <p id="d1e1662">From the discussion above, we conclude that the SP2 can only detect those
ammonium sulfate aerosols with the diameter larger than 160 nm. However, the
ambient aerosol RRI is<?pagebreak page3545?> always lower than that of ammonium sulfate
(Liu and Daum, 2008); thus the lower detecting limit of the ambient
scattering aerosols should be larger than 160 nm. The measured <inline-formula><mml:math id="M109" display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> values of
the SP2 scattering low-gain channel signals are shown in Fig. 3b. From
Fig. 3b, the same results can be deduced as those of the high-gain channel
signals.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><?xmltex \currentcnt{4}?><label>Figure 4</label><caption><p id="d1e1678"><bold>(a)</bold> The relationship between the scattering peak height from the
SP2 high-gain scattering channel when calibrating by using the ammonia
sulfate, and <bold>(b)</bold> the comparison between the measured scattering peak height
from SP2 high-gain scattering channel using the ammonia chloride and the
calculated scattering peak height using the Mie scattering theory. Different
colors represent the results at different diameters.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://amt.copernicus.org/articles/12/3541/2019/amt-12-3541-2019-f04.png"/>

        </fig>

      <p id="d1e1692">Figure 4a gives the relationships between the calculated scattering
intensity and the SP2 aerosol-scattering <inline-formula><mml:math id="M110" display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> at different diameters. When
calculating the scattering intensity, the RRI value of ammonium sulfate is
set to 1.521 (Flores et al., 2009), and the
<inline-formula><mml:math id="M111" display="inline"><mml:mrow><mml:msub><mml:mi>C</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> in Eq. (6) is set to unity. The aerosol-scattering intensity shows good consistency with the peak height
(<inline-formula><mml:math id="M112" display="inline"><mml:mrow><mml:msup><mml:mi>R</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.9992</mml:mn></mml:mrow></mml:math></inline-formula>), which to some extent reflects the high accuracy of our
proposed method. When regressing the scattering intensity on the measured
peak height, the value 0.36 was obtained for the slope, which means that
the scattering intensity can be calculated by multiplying the peak height
by a factor of 0.36.</p>
</sec>
<sec id="Ch1.S3.SS3">
  <label>3.3</label><title>Validation of the calibration</title>
      <p id="d1e1740">Ammonium chloride is used to validate the method of deriving the RRI from
SP2. The RRI value of ammonium chloride is 1.642 (Lide, 2006). The
scattering <inline-formula><mml:math id="M113" display="inline"><mml:mi>H</mml:mi></mml:math></inline-formula> of the ammonium chloride under different diameters is measured
and analyzed. Figure 4b shows the comparison between the measured scattering
high-gain peak heights and the theoretical peak heights at different
aerosol diameters. Results show that the measured peak heights and the
calculated ones are well correlated with <inline-formula><mml:math id="M114" display="inline"><mml:mrow><mml:msup><mml:mi>R</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.9994</mml:mn></mml:mrow></mml:math></inline-formula>, which means that
the DMA and SP2 can be used to derived the aerosol RRI with high accuracy.</p>
      <p id="d1e1765">Figure S2 gives the corresponding results of the scattering low-gain channel.
In Fig. S2, the relationship between the aerosol-scattering peak height of
the low-gain channel and the scattering intensity is determined. At the same
time, the comparison between the measured peak height and the calculated
peak height shows good consistency, too.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><?xmltex \currentcnt{5}?><label>Figure 5</label><caption><p id="d1e1770">The measured probability of the size-resolved RRI (shaded portion), the measured mean PNSD (the solid line) and the mean scattering size
distribution (the dotted line).</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://amt.copernicus.org/articles/12/3541/2019/amt-12-3541-2019-f05.png"/>

        </fig>

<?xmltex \hack{\newpage}?>
</sec>
</sec>
<?pagebreak page3546?><sec id="Ch1.S4">
  <label>4</label><title>Results and discussion</title>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>Field measurements</title>
      <p id="d1e1797">Figure 5 shows the measured average probability distribution of the ambient
size-resolved RRI and the measured mean PNSD over 2 h during the
measurement. From Fig. 5, we can see that the derived RRI is <inline-formula><mml:math id="M115" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.46</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.02</mml:mn></mml:mrow></mml:math></inline-formula> and does not vary significantly with a diameter between 199 nm and 436 nm.
The aerosol chemical component may not vary significantly for different
diameters during the measurement. Another field measurement shows that the
measured RRI varies significantly from 1.47 at 198 nm to 1.54 at 450 nm, as
shown in Fig. S4.</p>
      <p id="d1e1812">The measured aerosol PNSD during the measurement has a maximum of 26 400 # cm<inline-formula><mml:math id="M116" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> at 107 nm. The mass concentration of the BC measured by the
SP2 is 6.31 <inline-formula><mml:math id="M117" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g m<inline-formula><mml:math id="M118" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. Based on the measured PNSD and the measured
RRI, the size distribution of the scattering coefficient is calculated based
on the Mie scattering theory. The results in Fig. 5 show that the measured
RRI diameter range covers most of the aerosols that contribute a fraction of
0.63 to the aerosol-scattering properties, with an integrated scattering
coefficient at 385 Mm<inline-formula><mml:math id="M119" 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>. Thus, the derived size-resolved RRI of this
range is representative of the ambient aerosol-scattering properties.</p>
</sec>
<sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Uncertainty analysis</title>
<sec id="Ch1.S4.SS2.SSS1">
  <label>4.2.1</label><title>Uncertainties from SP2</title>
      <p id="d1e1874">The factors that influence the accuracy of retrieving RRI include the
aerosol scattering <inline-formula><mml:math id="M120" display="inline"><mml:mi>H</mml:mi></mml:math></inline-formula> measured by SP2 and the aerosol diameter selected by
the DMA.</p>
      <p id="d1e1884">The uncertainties of the selected diameter by the DMA are well characterized
based on Eqs. (2) and (3). The uncertainties from the DMA transfer function
can be avoided by fitting the scattering <inline-formula><mml:math id="M121" display="inline"><mml:mi>H</mml:mi></mml:math></inline-formula> using the log-normal distribution
function. However, the uncertainties of the measured <inline-formula><mml:math id="M122" display="inline"><mml:mi>H</mml:mi></mml:math></inline-formula> from the SP2 remain
unknown. The half width (<inline-formula><mml:math id="M123" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>Z</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub><mml:mo>/</mml:mo><mml:msub><mml:mi>Z</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) of the transfer
function is 0.1 times the scanning diameter, which means that the geometric
standard deviation of the aerosol PNSD selected by the DMA is estimated to
be 1.102. At the same time, the measured geometric standard deviation of the
measured <inline-formula><mml:math id="M124" display="inline"><mml:mi>H</mml:mi></mml:math></inline-formula> mode by SP2 is 1.182. Thus, the additional broadening by the <inline-formula><mml:math id="M125" display="inline"><mml:mi>H</mml:mi></mml:math></inline-formula>
distribution is 1.073, which implies that the geometric standard deviation
of the measured <inline-formula><mml:math id="M126" display="inline"><mml:mi>H</mml:mi></mml:math></inline-formula> from the SP2 is estimated to be 1.073; its corresponding
uncertainty is 6.8 %.</p>
      <p id="d1e1943">The uncertainties of the retrieved RRI to the variations in the measured <inline-formula><mml:math id="M127" display="inline"><mml:mi>H</mml:mi></mml:math></inline-formula>
are analyzed. Firstly, we calculated the theoretical scattering intensity
that can be measured by the SP2 for a given aerosol diameter and RRI. The
scattering intensity is changed by <inline-formula><mml:math id="M128" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">6.8</mml:mn></mml:mrow></mml:math></inline-formula> %, and the corresponding
RRI can be derived using the given aerosol diameter and changed scattering
intensity. Finally, the derived RRI is compared with the given aerosol RRI.
The uncertainties are analyzed for different aerosol diameters and a different
RRI. The corresponding results are shown in Fig. 6. The variations in RRI
increase with the increment of RRI but decrease with the increment of the  <inline-formula><mml:math id="M129" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>.
For most ambient aerosols, the RRI ranges from 1.4 to 1.5 and corresponds to
a variation in RRI of 0.015.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6"><?xmltex \currentcnt{6}?><label>Figure 6</label><caption><p id="d1e1977">The variation in RRI for different kinds of aerosols that have
different diameters and a different RRI.</p></caption>
            <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://amt.copernicus.org/articles/12/3541/2019/amt-12-3541-2019-f06.png"/>

          </fig>

      <p id="d1e1986">Table 1 lists the retrieved ammonium chloride RRI under different diameters.
The absolute difference between the retrieved RRI and theoretical values is
always smaller than 0.02 regardless of the particle diameter, which means
that the measured RRI is in line with the theoretical one. Thus, we conclude
that the uncertainty of the retrieved RRI is within 0.02 due to the
uncertainties of SP2 measurement.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e1992">The retrieved RRI and the absolute difference between the retrieved
RRI and the theoretical RRI for different ammonia chloride diameters.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="13">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:colspec colnum="9" colname="col9" align="right"/>
     <oasis:colspec colnum="10" colname="col10" align="right"/>
     <oasis:colspec colnum="11" colname="col11" align="right"/>
     <oasis:colspec colnum="12" colname="col12" align="right"/>
     <oasis:colspec colnum="13" colname="col13" align="right"/>
     <oasis:tbody>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"><inline-formula><mml:math id="M130" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (nm)</oasis:entry>
         <oasis:entry colname="col2">160</oasis:entry>
         <oasis:entry colname="col3">170</oasis:entry>
         <oasis:entry colname="col4">180</oasis:entry>
         <oasis:entry colname="col5">190</oasis:entry>
         <oasis:entry colname="col6">200</oasis:entry>
         <oasis:entry colname="col7">210</oasis:entry>
         <oasis:entry colname="col8">220</oasis:entry>
         <oasis:entry colname="col9">230</oasis:entry>
         <oasis:entry colname="col10">240</oasis:entry>
         <oasis:entry colname="col11">250</oasis:entry>
         <oasis:entry colname="col12">260</oasis:entry>
         <oasis:entry colname="col13">270</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">RRI</oasis:entry>
         <oasis:entry colname="col2">1.654</oasis:entry>
         <oasis:entry colname="col3">1.650</oasis:entry>
         <oasis:entry colname="col4">1.651</oasis:entry>
         <oasis:entry colname="col5">1.643</oasis:entry>
         <oasis:entry colname="col6">1.656</oasis:entry>
         <oasis:entry colname="col7">1.645</oasis:entry>
         <oasis:entry colname="col8">1.633</oasis:entry>
         <oasis:entry colname="col9">1.626</oasis:entry>
         <oasis:entry colname="col10">1.634</oasis:entry>
         <oasis:entry colname="col11">1.626</oasis:entry>
         <oasis:entry colname="col12">1.624</oasis:entry>
         <oasis:entry colname="col13">1.625</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Difference</oasis:entry>
         <oasis:entry colname="col2">0.012</oasis:entry>
         <oasis:entry colname="col3">0.008</oasis:entry>
         <oasis:entry colname="col4">0.009</oasis:entry>
         <oasis:entry colname="col5">0.001</oasis:entry>
         <oasis:entry colname="col6">0.012</oasis:entry>
         <oasis:entry colname="col7">0.003</oasis:entry>
         <oasis:entry colname="col8">0.009</oasis:entry>
         <oasis:entry colname="col9">0.016</oasis:entry>
         <oasis:entry colname="col10">0.008</oasis:entry>
         <oasis:entry colname="col11">0.016</oasis:entry>
         <oasis:entry colname="col12">0.018</oasis:entry>
         <oasis:entry colname="col13">0.017</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</sec>
<sec id="Ch1.S4.SS2.SSS2">
  <label>4.2.2</label><title>Uncertainties due to BC exist</title>
      <p id="d1e2181">There are some particles with a small soot core, and the incandescence signal
is below the detection threshold of SP2. The derived aerosol RRI should be
influenced by the small soot core. Uncertainties might result when deriving
the RRI for these BC-containing aerosols. With the calibration of the SP2
with Aquadag soot particles, we concluded that the SP2 cannot detect the soot
particles lower than 80 nm, which is shown in detail in the Supplement in Sect. S3.</p>
      <p id="d1e2184">We derived the aerosol equivalent refractive index when the aerosols have BC
cores lower than 80 nm with two steps. The scattering strength of the
BC-containing aerosols are first calculated based on Mie scattering theory.
Then the scattering strength is used for deriving the equivalent refractive
index with the assumption that the BC-containing aerosols are pure scattering
aerosols.</p>
      <p id="d1e2187">Monte Carlo simulations were applied to investigate the influence of the BC
core on the retrieved ambient aerosol RRI. Firstly, the aerosol with a diameter
between 200 nm and 500 nm was chosen. Then the core diameter are randomly
determined lower than 80 nm. The core diameters flow the log-normal
distribution with the mean core diameter of 120 nm (Raatikainen et
al., 2017). When calculating the scattering strength, the complex refractive
index of the core <inline-formula><mml:math id="M131" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.8</mml:mn><mml:mo>+</mml:mo><mml:mn mathvariant="normal">0.54</mml:mn><mml:mi>i<?pagebreak page3547?></mml:mi></mml:mrow></mml:math></inline-formula> (Zhao et al., 2018) is used. The complex
refractive of the shell adopts the measured mean values (<inline-formula><mml:math id="M132" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.46</mml:mn><mml:mo>+</mml:mo><mml:mn mathvariant="normal">0</mml:mn><mml:mi>i</mml:mi></mml:mrow></mml:math></inline-formula>) during
the field measurements. The scattering strength can be calculated with the
above information. With the calculated scattering strength, the equivalent
real part of the refractive index (RRI) can be derived with the assumption that
the aerosols are pure scattering aerosols. If the core diameter is 0, then
the derived aerosol equivalent aerosol RRI should be 1.46.</p>
      <p id="d1e2218">For each aerosol diameter, the Monte Carlo simulations were conducted
10 000 times. Figure 7a gives the retrieved aerosol equivalent RRI at
different diameters. Results show that the retrieved aerosol equivalent RRI
is larger than 1.46 for all of the given aerosol diameters. When the
aerosols have a BC core, the scattering strength is larger than that of pure
scattering aerosols with the same aerosol diameter. The derived mean
equivalent RRI tends to be closer to 1.46 when the aerosol diameter is
larger, where the BC core contributes less and the influence of the BC core
is smaller. The derived mean aerosol equivalent to the RRI is 1.47 and 1.462 at
200  and 500 nm respectively. At the same time, the uncertainties
associated with the equivalent RRI are larger when the aerosol diameter are
smaller. We conclude that the uncertainties associated with BC core are
smaller than 0.01 when the aerosol diameter is larger than 250 nm. The
maximum of the difference of the derived RRI is 0.02.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7"><?xmltex \currentcnt{7}?><label>Figure 7</label><caption><p id="d1e2224">The retrieved aerosol RRI at different aerosol diameters. The
shaded portion represents the 5th and 95th percentiles.</p></caption>
            <?xmltex \igopts{width=227.622047pt}?><graphic xlink:href="https://amt.copernicus.org/articles/12/3541/2019/amt-12-3541-2019-f07.png"/>

          </fig>

</sec>
<sec id="Ch1.S4.SS2.SSS3">
  <label>4.2.3</label><title>Uncertainties from BrC</title>
      <p id="d1e2241">There is some BrC that absorbs the light intensity in the near-infrared
range. The imaginary part of the refractive index at a given wavelength
<inline-formula><mml:math id="M133" display="inline"><mml:mi mathvariant="italic">λ</mml:mi></mml:math></inline-formula> (<inline-formula><mml:math id="M134" display="inline"><mml:mrow><mml:msub><mml:mi>k</mml:mi><mml:mi mathvariant="italic">λ</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) of the BrC can be calculated as
              <disp-formula id="Ch1.E8" content-type="numbered"><label>8</label><mml:math id="M135" display="block"><mml:mrow><mml:msub><mml:mi>k</mml:mi><mml:mrow><mml:mi mathvariant="italic">λ</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mi>k</mml:mi><mml:mrow><mml:mi mathvariant="italic">λ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msub><mml:mo>×</mml:mo><mml:msup><mml:mfenced close=")" open="("><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi mathvariant="italic">λ</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:mrow><mml:mrow><mml:mi mathvariant="italic">λ</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:mfrac></mml:mstyle></mml:mfenced><mml:mi>w</mml:mi></mml:msup><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
            where  <inline-formula><mml:math id="M136" display="inline"><mml:mi>w</mml:mi></mml:math></inline-formula> is defined by ratio of mass of BC to the organic aerosol (<inline-formula><mml:math id="M137" display="inline"><mml:mi>R</mml:mi></mml:math></inline-formula>; Saleh et al., 2015), with
              <disp-formula id="Ch1.E9" content-type="numbered"><label>9</label><mml:math id="M138" display="block"><mml:mrow><mml:mi>w</mml:mi><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mn mathvariant="normal">0.21</mml:mn><mml:mrow><mml:mi>R</mml:mi><mml:mo>+</mml:mo><mml:mn mathvariant="normal">0.07</mml:mn></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula></p>
      <p id="d1e2343">Based on the work of Saleh et al. (2015), the <inline-formula><mml:math id="M139" display="inline"><mml:mrow><mml:msub><mml:mi>k</mml:mi><mml:mn mathvariant="normal">550</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> can be
expressed as
              <disp-formula id="Ch1.E10" content-type="numbered"><label>10</label><mml:math id="M140" display="block"><mml:mrow><mml:msub><mml:mi>k</mml:mi><mml:mn mathvariant="normal">550</mml:mn></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.016</mml:mn><mml:mo>×</mml:mo><mml:msub><mml:mi>log⁡</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:msub><mml:mfenced close=")" open="("><mml:mi>R</mml:mi></mml:mfenced><mml:mo>+</mml:mo><mml:mn mathvariant="normal">0.04</mml:mn><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula>
            The value <inline-formula><mml:math id="M141" display="inline"><mml:mi>R</mml:mi></mml:math></inline-formula> ranges between 0.09 and 0.35 for different types of aerosols
(Saleh et al., 2015). Based on Eqs. (8), (9) and (10), the
<inline-formula><mml:math id="M142" display="inline"><mml:mrow><mml:msub><mml:mi>k</mml:mi><mml:mn mathvariant="normal">1024</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> ranges between 0.01 and 0.024. The maximum value 0.024 is used
for further analysis.</p>
      <p id="d1e2406">The uncertainties of the retrieved RRI when ignoring the effect of BrC are
analyzed. Firstly, the scattering-light intensity at a given diameter with a
refractive index of <inline-formula><mml:math id="M143" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.46</mml:mn><mml:mo>+</mml:mo><mml:mn mathvariant="normal">0.024</mml:mn><mml:mi>i</mml:mi></mml:mrow></mml:math></inline-formula> is calculated using the Mie model. Then the
corresponding RRI is retrieved using the given diameter and the calculated
light intensity with the assumption that these are pure scattering aerosols. The
retrieved aerosol RRI values for different aerosol diameters are shown in
Fig. 7b. For the light-absorbing particles, their scattering-light
intensity is smaller than that of the pure scattering particles with the
same diameter and RRI. Therefore, the retrieved aerosol RRI is
underestimated for most of the conditions. The differences<?pagebreak page3548?> between the given
RRI value (1.46) and retrieved RRI value are lower than 0.006 for all of the
diameters, as shown in Fig. 7b. The BrC component has little influence on
the retrieved aerosol RRI.</p>
</sec>
<sec id="Ch1.S4.SS2.SSS4">
  <label>4.2.4</label><title>Summary of the uncertainties</title>
      <p id="d1e2431">Monte Carlo simulations were conducted to study the influence of the above
three uncertainty sources. Four steps are involved in the Monte Carlo
simulations. First, the core diameter of an aerosol particle at a given
diameter is randomly given, with the core diameter following the log-normal
distribution with the mean core diameter of 120 nm (Raatikainen et
al., 2017). The refractive index of the core is set to be the same as that
in Sect. 4.2.2. The RRI of the shell uses the measured mean value 1.46.
The imaginary part of the shell is determined randomly with a mean value of
0.023. Second, the light-scattering intensity can be calculated using the
Mie model and the information in step one. Then the light-scattering
intensity was randomly changed with uncertainties of 6.8 %. Finally, the
changed light-scattering intensity is used to derive the aerosol RRI with
the given diameter and the assumption that the particles are pure scattering
particles.</p>
      <p id="d1e2434">The aerosol diameters were changed from 200  to 500 nm, and the
simulations were conducted 10 000 times for each diameter. The overall
uncertainties are shown in Fig. 7c. The uncertainties from SP2 instrument
measurement do not lead to bias of the retrieved aerosol RRI. When the
aerosol diameter is lower than 300 nm, the influence of the BC core is more
important than the influence of BrC. The retrieved RRI tends to be
overestimated when the aerosol is lower than 300 nm. When the aerosol
diameter is larger than 300 nm, the influence of BrC domains and the
retrieved aerosol RRI are underestimated. However, the bias caused by BC and
BrC is lower than 0.01. For most of the conditions, the
retrieved aerosol RRI is within the range of <inline-formula><mml:math id="M144" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.46</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.02</mml:mn></mml:mrow></mml:math></inline-formula>. Thus, we
conclude that the uncertainty of the retrieved RRI is 0.02 when considering
all of the factors.</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <label>5</label><title>Conclusions</title>
      <p id="d1e2460">Knowledge on the microphysical properties of ambient aerosols is import for
better evaluating their radiative forcing. The aerosol RRI is a key factor
that determines the aerosol-scattering properties. In this study, a new
method to measure the ambient aerosol RRI is developed by synthetically
using a DMA in tandem with an SP2. This method can continuously measure the
size-resolved RRI over a wide range between 198  and 426 nm. At the same
time, it is free from the influence of the BC-containing aerosols.</p>
      <p id="d1e2463">The basic principle of measuring the size-resolved RRI is to select the
aerosols at a certain diameter by the DMA and measure the corresponding
scattering intensity by the SP2. The relationship between the aerosol-scattering intensity and the peak height of the scattering signal channels
is determined by calibrating the SP2 using ammonium sulfate (RRI <inline-formula><mml:math id="M145" display="inline"><mml:mrow><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1.521</mml:mn></mml:mrow></mml:math></inline-formula>).</p>
      <p id="d1e2476">The method is validated by measuring the size-resolved RRI of the ammonium
chloride with the RRI value of 1.642 as the sample aerosol, and the corresponding
derived value is <inline-formula><mml:math id="M146" display="inline"><mml:mrow><mml:mn mathvariant="normal">1.642</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.02</mml:mn></mml:mrow></mml:math></inline-formula>. There are three factors that influence
the accuracy of derived aerosol RRI. The measured scattering intensity by
SP2 has an uncertainty of 0.68 %, which can lead to the uncertainties of
the derived RRI values less than 0.15. There are some particles with a small
soot core, and the incandescence signal is below the detection threshold of
SP2. The light-scattering intensity of these particles increases compared
with that of the pure scattering particles with the same aerosol diameters.
The retrieved aerosol RRI values can be overestimated by up to 0.02. Some
BrC absorbs the light intensity in the near-infrared range. The
corresponding scattering intensity is weaker than that of pure scatter
particles for the same diameter, and the retrieved aerosol RRI value can be
underestimated by up to 0.006. Based on Monte Carlo simulations, the
uncertainty of the retrieved RRI is 0.02 when considering all of the
factors.</p>
      <p id="d1e2491">This instrument is employed at a field measurement at the AERONET PKU
station, and the size-resolved RRI of the ambient aerosols is 1.46 and does not
show significant variation among the diameter. The corresponding aerosol
diameter range, which can be detected by SP2 to derive the RRI, covers most
of the aerosol scattering. Thus, the derived size-resolved RRI of this range
can be used as a good representative of the ambient aerosol-scattering
properties.</p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability"><title>Data availability</title>

      <p id="d1e2498">The measurement data involved in this study are available upon request to
the authors.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e2501">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/amt-12-3541-2019-supplement" xlink:title="pdf">https://doi.org/10.5194/amt-12-3541-2019-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e2510">GZ and CZ designed the experiments; GZ and WZ conducted the measurements; and CZ and GZ discussed the
results and wrote the paper.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e2516">The authors declare that they have no conflict of interest.</p>
  </notes><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e2522">This research has been supported by the National Key R&amp;D Program of China (grant no. 2016YFC020000: Task 5) and the National Natural Science Foundation of China (grant no. 41590872).</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <?pagebreak page3549?><p id="d1e2528">This paper was edited by Manfred Wendisch and reviewed by two anonymous referees.</p>
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