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<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"><?xmltex \makeatother\@nolinetrue\makeatletter?>
  <front>
    <journal-meta><journal-id journal-id-type="publisher">CP</journal-id><journal-title-group>
    <journal-title>Climate of the Past</journal-title>
    <abbrev-journal-title abbrev-type="publisher">CP</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Clim. Past</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1814-9332</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/cp-14-601-2018</article-id><title-group><article-title>Particle shape accounts for instrumental discrepancy in<?xmltex \hack{\break}?> ice core
dust size distributions</article-title><alt-title>Particle shape accounts for instrumental discrepancy</alt-title>
      </title-group><?xmltex \runningtitle{Particle shape accounts for instrumental discrepancy}?><?xmltex \runningauthor{M.~F.~Simonsen et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Simonsen</surname><given-names>Marius Folden</given-names></name>
          <email>msimonse@fys.ku.dk</email>
        <ext-link>https://orcid.org/0000-0002-1525-034X</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Cremonesi</surname><given-names>Llorenç</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Baccolo</surname><given-names>Giovanni</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-1246-8968</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Bosch</surname><given-names>Samuel</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Delmonte</surname><given-names>Barbara</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Erhardt</surname><given-names>Tobias</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-6683-6746</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Kjær</surname><given-names>Helle Astrid</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-3781-9509</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Potenza</surname><given-names>Marco</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Svensson</surname><given-names>Anders</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-4364-6085</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Vallelonga</surname><given-names>Paul</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-1055-7235</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Centre for Ice and Climate, Niels Bohr Institute, University
of Copenhagen, Copenhagen, Denmark</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Department of Physics, University of Milan and National
Institute for Nuclear Physics (INFN),<?xmltex \hack{\break}?> Via Celoria 16, I20133 Milan,
Italy</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Climate and Environmental Physics, Physics Institute &amp; Oeschger Centre for Climate Change Research,<?xmltex \hack{\break}?> University of Bern, Sidlerstrasse 5, 3012 Bern,
Switzerland</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Department of Earth and Environmental Sciences, University Milano-Bicocca, Piazza della Scienza 1,<?xmltex \hack{\break}?> I20126 Milan, Italy</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Marius Folden Simonsen (msimonse@fys.ku.dk)</corresp></author-notes><pub-date><day>3</day><month>May</month><year>2018</year></pub-date>
      
      <volume>14</volume>
      <issue>5</issue>
      <fpage>601</fpage><lpage>608</lpage>
      <history>
        <date date-type="received"><day>15</day><month>November</month><year>2017</year></date>
           <date date-type="rev-request"><day>29</day><month>November</month><year>2017</year></date>
           <date date-type="rev-recd"><day>5</day><month>April</month><year>2018</year></date>
           <date date-type="accepted"><day>6</day><month>April</month><year>2018</year></date>
      </history>
      <permissions>
        
        
      <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://cp.copernicus.org/articles/14/601/2018/cp-14-601-2018.html">This article is available from https://cp.copernicus.org/articles/14/601/2018/cp-14-601-2018.html</self-uri><self-uri xlink:href="https://cp.copernicus.org/articles/14/601/2018/cp-14-601-2018.pdf">The full text article is available as a PDF file from https://cp.copernicus.org/articles/14/601/2018/cp-14-601-2018.pdf</self-uri>
      <abstract>
    <p id="d1e191">The Klotz Abakus laser sensor and the Coulter counter are both used for
measuring the size distribution of insoluble mineral dust particles in ice
cores. While the Coulter counter measures particle volume accurately, the
equivalent Abakus instrument measurement deviates substantially from the
Coulter counter. We show that the difference between the Abakus and the
Coulter counter measurements is mainly caused by the irregular shape of dust
particles in ice core samples. The irregular shape means that a new
calibration routine based on standard spheres is necessary for obtaining
fully comparable data. This new calibration routine gives an increased
accuracy to Abakus measurements, which may improve future ice core record
intercomparisons. We derived an analytical model for extracting the aspect
ratio of dust particles from the difference between Abakus and Coulter
counter data. For verification, we measured the aspect ratio of the same
samples directly using a single-particle extinction and scattering
instrument. The results demonstrate that the model is accurate enough to
discern between samples of aspect ratio 0.3 and 0.4 using only the comparison
of Abakus and Coulter counter data.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

      <?xmltex \hack{\newpage}?>
<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p id="d1e203">Ice cores from Greenland contain a record of climate proxies over the last
120 000 years. One of those proxies is mineral dust in the size range
0.5–100 <inline-formula><mml:math id="M1" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>. The dust has several properties that provide useful
information of the past: concentration, size distribution, morphology and
chemical and isotopic composition. These measurements have revealed that the
dust in ice cores come from central Asia during both the Holocene and the
last glacial period <xref ref-type="bibr" rid="bib1.bibx2" id="paren.1"/>. The observed 100-fold decrease
in dust concentration from glacial to Holocene <xref ref-type="bibr" rid="bib1.bibx22 bib1.bibx26" id="paren.2"/> has constrained the aridity, windiness and insolation
forcing of glacial climate models <xref ref-type="bibr" rid="bib1.bibx17 bib1.bibx16" id="paren.3"/>.</p>
      <p id="d1e225">Traditionally, the Coulter counter technique has been used to measure
concentration and size distribution. It works by measuring the electrical
impedance over an orifice through which a sample flows. For ice cores, this
sample is melted ice core water, with pure NaCl added to stabilize the
electrical conductivity. When a particle flows through and displaces the
conductive liquid, the impedance rises. This signal increases with the
particle volume. The Coulter counter has the disadvantage that it applies
only to discrete samples and has not been combined with continuous flow
analysis (CFA) systems.</p>
      <?pagebreak page602?><p id="d1e228">CFA systems <xref ref-type="bibr" rid="bib1.bibx19 bib1.bibx11" id="paren.4"/>, on the
other hand, are a common technique for analyzing impurities in ice core
samples, offering a faster measurement speed and often higher resolution. On
the Copenhagen CFA system, 35 <inline-formula><mml:math id="M2" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 35 <inline-formula><mml:math id="M3" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 550 <inline-formula><mml:math id="M4" display="inline"><mml:mi mathvariant="normal">mm</mml:mi></mml:math></inline-formula> sticks
are cut from the ice core and melted upon a gold-coated melt head
<xref ref-type="bibr" rid="bib1.bibx1" id="paren.5"/>. The meltwater from the outer 5 <inline-formula><mml:math id="M5" display="inline"><mml:mi mathvariant="normal">mm</mml:mi></mml:math></inline-formula> of
the ice core surface is discarded, while the inner uncontaminated water is
transported by a peristaltic pump to the connected instruments. One of these
instruments is the Abakus laser sensor (LDS23/25bs; Klotz GmbH, Germany) for
measuring insoluble particle concentration and size distribution.</p>
      <p id="d1e266">The Abakus instrument measures the intensity of laser light through a flow
cell filled with the sample liquid. When a particle passes, the light is
attenuated. The Abakus therefore measures the optical extinction cross
section of the particle and can measure particles in the range
1–15 <inline-formula><mml:math id="M6" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>. Since it measures optical transmissivity rather than
electrical impedance, it is much less sensitive to electrical noise than the
Coulter counter. The Abakus on a CFA system can have a measurement depth
resolution of 3 <inline-formula><mml:math id="M7" display="inline"><mml:mi mathvariant="normal">mm</mml:mi></mml:math></inline-formula> <xref ref-type="bibr" rid="bib1.bibx1" id="paren.6"/> and requires
almost no maintenance when the CFA system is running. The Coulter counter, on
the other hand, typically integrates a thicker depth interval and requires
work from the operator at all times during measurements
<xref ref-type="bibr" rid="bib1.bibx6 bib1.bibx15" id="paren.7"/>.</p>
      <p id="d1e293">The aspect ratio of ice core dust particles was measured using the
novel single-particle extinction and scattering (SPES) instrument
<xref ref-type="bibr" rid="bib1.bibx28 bib1.bibx18" id="paren.8"/>.
The SPES measures both the extinction cross section, which is also
measured by the Abakus, and the optical thickness of the particles
<xref ref-type="bibr" rid="bib1.bibx18" id="paren.9"/>.</p>
      <p id="d1e302">The optical thickness depends on the geometrical thickness of the
particle and its refractive index.
If the refractive index is known, the aspect ratio can be derived from
the combination of extinction cross section and geometrical thickness.
The SPES is able to discern between oblate and prolate particles.</p>
      <p id="d1e305">The extinction and scattering cross sections of irregularly shaped
particles can be accurately calculated with the discrete
dipole approximation (DDA) <xref ref-type="bibr" rid="bib1.bibx7" id="paren.10"/>.
In the present work, we have used the Amsterdam Discrete Dipole
Approximation (ADDA) code <xref ref-type="bibr" rid="bib1.bibx29" id="paren.11"/>.
The ADDA simulations were used to simulate the SPES measurements and
thereby extract the aspect ratio from the SPES data.
Furthermore, the ADDA simulations were used to show that the Mie
scattering effects on the optical extinction cross section for
spherical particles do not affect ice core dust due to its irregular
shape   <xref ref-type="bibr" rid="bib1.bibx5" id="paren.12"/>.</p>
      <p id="d1e317">The measured samples are from the Renland Ice Cap Project
(RECAP) ice core drilled  during the summer of 2015 on the Renland ice cap in
eastern Greenland only 2 <inline-formula><mml:math id="M8" display="inline"><mml:mi mathvariant="normal">km</mml:mi></mml:math></inline-formula> away  from the old
Renland ice core <xref ref-type="bibr" rid="bib1.bibx9" id="paren.13"/>.
This ice core covers the
last glacial cycle, and samples were taken from both the
Holocene and the last glacial period (the Supplement A).
As found for the central Greenlandic ice cores, the glacial RECAP dust comes from central
Asia <xref ref-type="bibr" rid="bib1.bibx2" id="paren.14"/>.
The Holocene dust, similar to the old Renland core
<xref ref-type="bibr" rid="bib1.bibx3" id="paren.15"/>, is dominated by a local East Greenlandic source.
The volume mode of the glacial dust is 2 <inline-formula><mml:math id="M9" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>, versus
20 <inline-formula><mml:math id="M10" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> for the Holocene dust, due to the increased
transport size fractionation for the glacial  dust <xref ref-type="bibr" rid="bib1.bibx22" id="paren.16"/>.</p>
      <p id="d1e360">Although both instruments are typically calibrated using standard spheres of
known diameter, they produce substantially different size distribution
results when ice core samples are measured <xref ref-type="bibr" rid="bib1.bibx22 bib1.bibx14 bib1.bibx15 bib1.bibx13" id="paren.17"/>.
It has been proposed that this difference is because ice core dust is
generally nonspherical <xref ref-type="bibr" rid="bib1.bibx15 bib1.bibx18" id="paren.18"/>. We show
here that the nonspherical shape of the particles does quantitatively
account for the main discrepancy between the two instruments
(Fig. <xref ref-type="fig" rid="Ch1.F1"/>). One important shape effect arises from the aspect
ratio, defined as the ratio between the length of its shortest and
longest side. We have found that Greenland ice core dust is dominated by
oblate particles of aspect ratio 0.3–0.4, which is significantly different
from the aspect ratio of 1 of the polystyrene standard spheres used for
calibration.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1"><caption><p id="d1e374">The Abakus measures the extinction cross section of the
particles, while the Coulter counter measures their volume.
Both instruments convert this to an equivalent diameter,
<inline-formula><mml:math id="M11" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M12" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">vol</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, respectively.
</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://cp.copernicus.org/articles/14/601/2018/cp-14-601-2018-f01.pdf"/>

      </fig>

</sec>
<sec id="Ch1.S2">
  <title>Materials and methods</title>
<sec id="Ch1.S2.SS1">
  <title>Abakus</title>
      <p id="d1e416">For the Abakus measurements, square sticks of <inline-formula><mml:math id="M13" display="inline"><mml:mrow><mml:mn mathvariant="normal">35</mml:mn><mml:mo>×</mml:mo><mml:mn mathvariant="normal">35</mml:mn><mml:mo>×</mml:mo><mml:mn mathvariant="normal">550</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M14" display="inline"><mml:mi mathvariant="normal">mm</mml:mi></mml:math></inline-formula> were cut from the center
of the RECAP ice core.
These sticks were melted on the RECAP CFA system.
This CFA system is an enlargement of the one described by
<xref ref-type="bibr" rid="bib1.bibx1" id="text.19"/>, with a higher melt rate, more analytical channels and pressure decoupling after the debubbler.
The Abakus was connected to the CFA system with a flow rate of
<inline-formula><mml:math id="M15" display="inline"><mml:mn mathvariant="normal">2</mml:mn></mml:math></inline-formula> <inline-formula><mml:math id="M16" display="inline"><mml:mrow><mml:mi mathvariant="normal">mL</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">min</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>.
The attached tubes and the Abakus were cleaned with MQ water (Millipore Advantage, 18.2 MOhm cm<inline-formula><mml:math id="M17" 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>) after
each 5.5 <inline-formula><mml:math id="M18" display="inline"><mml:mi mathvariant="normal">m</mml:mi></mml:math></inline-formula>  of ice measured.
Occasionally the Abakus was clogged by a large particle and required
flushing with a syringe while the system was running.
The depth resolution is 5 mm due to mixing in the tubes from<?pagebreak page603?> the
melt head to the Abakus.
For high dust concentrations, two particles may pass through the
detector at the same time and show up as one larger particle.
We found that this effect was negligible (see the Supplement B for details).
The Abakus was originally calibrated to give the correct
diameter for polystyrene beads of  2, 5 and 10 <inline-formula><mml:math id="M19" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>.</p>
      <p id="d1e499">Polystyrene standard spheres of 1.5, 2, 4, 5 and 10 <inline-formula><mml:math id="M20" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> in diameter from BS-Partikel GmbH, Wiesbaden, Germany
(the Supplement C) were
measured by the Abakus.
They were diluted to concentrations between 15 000 and
90 000 particles mL<inline-formula><mml:math id="M21" 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>.
To avoid coagulation, the standards were sonicated for 30 s
before measurements.
Each of the standards was measured for 6 min.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <title>Coulter counter</title>
      <p id="d1e530">The Coulter counter measured discrete samples 55 cm in length.
The measured ice consisted of an outer triangular piece <inline-formula><mml:math id="M22" display="inline"><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mo>×</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> cm in cross section cut to 10 cm long pieces.
The samples were decontaminated by rinsing in three consecutive jars of MQ
water.
In each jar the outer layer of ice was melted away and removed, leaving only the cleaner
inner part to be analyzed.
This treatment reduced the sample size by 50 %.
The samples were measured in two Beckman Coulter counters, one with a 100 <inline-formula><mml:math id="M23" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> aperture and one with a
30 <inline-formula><mml:math id="M24" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> aperture. The samples were shaken prior to measurement in the 100 <inline-formula><mml:math id="M25" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> Coulter counter.
Afterwards the samples were measured by the 30 <inline-formula><mml:math id="M26" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> Coulter counter. The 30 <inline-formula><mml:math id="M27" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> aperture data
were used for particles smaller
than 4 <inline-formula><mml:math id="M28" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> and the 100 <inline-formula><mml:math id="M29" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> aperture data were used for particles larger than 4 <inline-formula><mml:math id="M30" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>.
Selected samples representative of Holocene and glacial climates
were measured by the Coulter counter for this study. For the Holocene, selected samples from 356 to 4008 years b2k (before AD 2000) were used, while for the glacial,
the whole period from 17 760 to 33 885 years b2k was measured (the Supplement A).
The same samples were used for the Abakus.</p>
</sec>
<sec id="Ch1.S2.SS3">
  <title>SPES</title>
      <p id="d1e632">After the Coulter counter measurements, the samples were measured by
SPES (Sect. <xref ref-type="sec" rid="Ch1.S3.SS3"/>).
The sample flows through a 200 <inline-formula><mml:math id="M31" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> flow cell and is illuminated by
a laser. The light is measured by two detectors, which in combination give
the extinction cross section and the optical thickness. There is no focusing
of the particle stream in the cell, so only a small fraction of the particles
passing through the cell is measured by the laser. Therefore the sample is
circulated through the cell several hundred to thousand times. This gives an
accurate measure of the shape distribution of the particles, but it does not
allow for concentration measurements.</p>
      <p id="d1e647">The narrow cell ensures high shear, forcing the particles to attain
a preferential direction.
Oblate particles in a shear flow orient themselves with the flat side along
the flow lines and are randomly oriented in the shear direction. Prolates lie
in a plane of constant velocity and are free to rotate within it
<xref ref-type="bibr" rid="bib1.bibx10" id="paren.20"/>.</p>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Results</title>
<sec id="Ch1.S3.SS1">
  <title>ADDA simulations</title>
      <p id="d1e665">Using the Amsterdam Discrete Dipole Approximation software (ADDA) <xref ref-type="bibr" rid="bib1.bibx29" id="paren.21"/>, we
have calculated the extinction diameter for different particles.
The extinction diameter is based on the optical extinction cross section.
The optical extinction cross section is defined for a plane light
wave interacting with a particle as the difference
between the incoming  and transmitted light intensity divided by the
incoming light intensity and multiplied by the area of the plane
incoming wave.
For spherical particles much larger than the wavelength of the light, the relation between diameter and optical extinction cross section is
<inline-formula><mml:math id="M32" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">σ</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mi mathvariant="italic">π</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:mfrac></mml:mstyle><mml:msup><mml:mi>d</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>.
For smaller particles of a size comparable to the light wavelength,  the relation differs due to optical
effects  (Fig. <xref ref-type="fig" rid="Ch1.F2"/>) <xref ref-type="bibr" rid="bib1.bibx27" id="paren.22"/>.
However, we define the extinction diameter as <inline-formula><mml:math id="M33" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:msqrt><mml:mrow><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="italic">π</mml:mi></mml:mfrac></mml:mstyle><mml:msub><mml:mi mathvariant="italic">σ</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub></mml:mrow></mml:msqrt></mml:mrow></mml:math></inline-formula> for all  particles.
We associate each particle with its volumetric diameter:
a sphere with volume <inline-formula><mml:math id="M34" display="inline"><mml:mi>V</mml:mi></mml:math></inline-formula> has the
diameter <inline-formula><mml:math id="M35" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">vol</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:msqrt><mml:mrow><mml:mo>[</mml:mo><mml:mn mathvariant="normal">3</mml:mn><mml:mo>]</mml:mo><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mn mathvariant="normal">6</mml:mn><mml:mi>V</mml:mi></mml:mrow><mml:mi mathvariant="italic">π</mml:mi></mml:mfrac></mml:mstyle></mml:mrow></mml:msqrt></mml:mrow></mml:math></inline-formula>.
For any particle of known volume, the volumetric diameter is given
by this relation.</p>
      <p id="d1e764">Specifically, we have used ellipsoids and oblate prisms with an aspect ratio
of 0.3 in the volumetric diameter range 1 to 8 <inline-formula><mml:math id="M36" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>
(Fig. <xref ref-type="fig" rid="Ch1.F3"/>). While spheres have a unique extinction
diameter for each volumetric diameter, the extinction diameter of other
particles depends on their orientation. For each volumetric diameter, there
will therefore be several possible Abakus measurements of the extinction
diameter described by a probability density function. This is described in
more detail in Sect. <xref ref-type="sec" rid="Ch1.S3.SS4"/>, where it is called
<inline-formula><mml:math id="M37" display="inline"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>P</mml:mi><mml:mo>(</mml:mo><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub><mml:mo>|</mml:mo><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">vol</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>ln⁡</mml:mi><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub></mml:mrow></mml:mfrac></mml:mstyle></mml:math></inline-formula>.
The broadness of the probability density function for nonspherical particles
results in a smoothing of the relationship between the extinction and
volumetric diameters (Fig. <xref ref-type="fig" rid="Ch1.F3"/>). Furthermore, the
extinction diameter oscillation maxima are not located at the same
<inline-formula><mml:math id="M38" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">vol</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> for different particle shapes. Since ice core dust has a
variable shape (the Supplement D), it is sampled from a sum of the ellipsoid,
prismatic and many more distributions. In this sum of distributions the
oscillation pattern averages out.</p>
      <p id="d1e833">The average extinction diameter is larger than the volumetric diameter since
the measured dust particles are elongated (discussed further in
Sect. <xref ref-type="sec" rid="Ch1.S3.SS4"/>). For particles larger than
1.7 <inline-formula><mml:math id="M39" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>, the average extinction diameter is approximately
proportional to the volumetric diameter. For much smaller particles, the
extinction diameter is independent of the particle shape. After calibration,
the Abakus cannot measure particles with an extinction diameter smaller than
1.8 <inline-formula><mml:math id="M40" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>, so the measured Abakus data are within the range of
proportionality: <inline-formula><mml:math id="M41" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub><mml:mo>∝</mml:mo><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">vol</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>
(Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/>).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2"><caption><p id="d1e880">The diameter of standard
polystyrene spheres measured by the
Abakus as a function of the true diameter certified by the
manufacturer (circles and dashed line), together with three of the same standards measured
a year earlier (crosses and dotted line) and the optical extinction diameter of a sphere as a
function of diameter (solid black curve).
The grey line is where the measured and the true diameter are
equal, to which the extinction diameter converges
for large true diameters.
</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://cp.copernicus.org/articles/14/601/2018/cp-14-601-2018-f02.pdf"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><caption><p id="d1e892">ADDA simulations of particles with a refractive index of 1.586 and, except for the
spheres, an aspect ratio of 0.3.
The prisms are oblate and their cross sections are equilateral
polygons with 3, 4 and 7 sides.
</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://cp.copernicus.org/articles/14/601/2018/cp-14-601-2018-f03.pdf"/>

        </fig>

</sec>
<?pagebreak page604?><sec id="Ch1.S3.SS2">
  <title>Extinction calibration using particle size standards</title>
      <p id="d1e907">We have measured the diameters of five different particle size standards (the
Supplement C, Sect. <xref ref-type="sec" rid="Ch1.S2.SS1"/>) with the Abakus
(Fig. <xref ref-type="fig" rid="Ch1.F2"/>). The 2, 5 and 10 <inline-formula><mml:math id="M42" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> standards were measured
twice with a 1-year delay, without significantly different results. This
shows that the Abakus calibration is stable over the timescale of a typical
measurement campaign.</p>
      <p id="d1e924">Since <inline-formula><mml:math id="M43" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is proportional to <inline-formula><mml:math id="M44" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">vol</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> for ice core
dust (Sect. <xref ref-type="sec" rid="Ch1.S3.SS1"/>) and the proportionality constant depends on
particle shape and is unknown, we would like to calibrate the Abakus such
that it gives the extinction diameter <inline-formula><mml:math id="M45" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and not the true
diameter for the standard spheres (using the term true for the certified
diameter given by the manufacturer). Therefore we define a calibration
function such that the measured diameter divided by the calibration function
is the extinction diameter. To avoid artifacts in the calibrated
distribution, the calibration function has to be a continuous function of the
measured diameter with a continuous first derivative. Since we want the
relative error in each standard to have the same weight, the function is
fitted to the logarithm of the ratio between the measured and extinction
diameter. The function <inline-formula><mml:math id="M46" display="inline"><mml:mrow><mml:mi>y</mml:mi><mml:mo>=</mml:mo><mml:mi>a</mml:mi><mml:mo>(</mml:mo><mml:mi>x</mml:mi><mml:mo>-</mml:mo><mml:msub><mml:mi>x</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:msup><mml:mo>)</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>, where <inline-formula><mml:math id="M47" display="inline"><mml:mrow><mml:mi>y</mml:mi><mml:mo>=</mml:mo><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mi>ln⁡</mml:mi><mml:mo>(</mml:mo><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">meas</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow><mml:mrow><mml:mi>ln⁡</mml:mi><mml:mo>(</mml:mo><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:mfrac></mml:mstyle></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M48" display="inline"><mml:mrow><mml:mi>x</mml:mi><mml:mo>=</mml:mo><mml:mi>ln⁡</mml:mi><mml:mo>(</mml:mo><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">meas</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>,
is fitted to the data as a calibration function (Fig. <xref ref-type="fig" rid="Ch1.F4"/>).
The fit parameters found are <inline-formula><mml:math id="M49" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:mi>a</mml:mi><mml:mo>,</mml:mo><mml:msub><mml:mi>x</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>)</mml:mo><mml:mo>=</mml:mo><mml:mo>(</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.086</mml:mn><mml:mo>,</mml:mo><mml:mn mathvariant="normal">2.60</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>. This particular
calibration function is chosen because it is simple, fits the data well and
satisfies the conditions described above. <inline-formula><mml:math id="M50" display="inline"><mml:mrow><mml:msub><mml:mi>x</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">2.60</mml:mn></mml:mrow></mml:math></inline-formula> corresponds to
<inline-formula><mml:math id="M51" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">meas</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">13.5</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M52" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>. As the calibration function is equal
to 1 for <inline-formula><mml:math id="M53" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">meas</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">13.5</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M54" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> and standards larger than
13.5 <inline-formula><mml:math id="M55" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> were not tested, no calibration is applied for diameters
larger than 13.5 <inline-formula><mml:math id="M56" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>.</p>
      <p id="d1e1170">The particle size standard calibration has been applied to ice core dust data
(orange curves in Fig. <xref ref-type="fig" rid="Ch1.F5"/>a, b). Since the calibration
function is less than 1 for diameters smaller than 13.5 <inline-formula><mml:math id="M57" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>, the
effect of applying the calibration function is that the small diameter data
are shifted towards larger diameters. This is most pronounced for the
smallest diameters, since the calibration values are smallest for small
diameters. The positive slope of the calibration function means that the
calibrated bin positions are squeezed more tightly together than the
uncalibrated bins. Since the probability density function is defined as the
number of counts in a bin divided by its size, the calibrated probability
density function has higher values than the uncalibrated one. This effect
decreases with diameter as the slope decreases. For further details, see the
Supplement E.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><caption><p id="d1e1187">The ratio between the diameter of spheres
measured by the Abakus in April 2017 and their  extinction diameter (Fig. <xref ref-type="fig" rid="Ch1.F2"/>) (circles and dashed line), together with three of the same standards measured a
year earlier (crosses and dotted line) and a fit to the logarithm of
the April 2017 data (solid line).
The fitted parameters are <inline-formula><mml:math id="M58" display="inline"><mml:mrow><mml:mo>(</mml:mo><mml:mi>a</mml:mi><mml:mo>,</mml:mo><mml:msub><mml:mi>x</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>)</mml:mo><mml:mo>=</mml:mo><mml:mo>(</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.086</mml:mn><mml:mo>,</mml:mo><mml:mn mathvariant="normal">2.60</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> of the
function <inline-formula><mml:math id="M59" display="inline"><mml:mrow><mml:mi>a</mml:mi><mml:mo>(</mml:mo><mml:mi>x</mml:mi><mml:mo>-</mml:mo><mml:msub><mml:mi>x</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:msup><mml:mo>)</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>, where <inline-formula><mml:math id="M60" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula> is the logarithm of the diameter in
<inline-formula><mml:math id="M61" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>.
The uncertainty on the fit (shading) is based on the
uncertainty in the data points.
</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://cp.copernicus.org/articles/14/601/2018/cp-14-601-2018-f04.pdf"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><caption><p id="d1e1276">Size distributions of the dust particles in the RECAP ice
core for both the Holocene and last glacial period measured by
the Abakus and Coulter counter.
<bold>(a, b)</bold> Probability density functions of the number of particles as
a function of volumetric diameter, measured diameter or extinction
diameter for Coulter counter (black, volumetric diameter), raw Abakus
(blue, measured diameter), extinction calibrated Abakus (Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/>) (orange,
extinction diameter), modeled Abakus data based on Coulter counter
data and the aspect ratio measured by SPES (Sect. <xref ref-type="sec" rid="Ch1.S3.SS4"/>) (green, extinction diameter), and Abakus data fully
calibrated to Coulter counter data using both the extinction calibration and
aspect ratio (Sect. <xref ref-type="sec" rid="Ch1.S3.SS5"/>) (red, volumetric diameter). The
uncertainty (shaded area) in the raw Abakus data is measurement uncertainty
(the Supplement H), while the remaining uncertainties are linearly propagated
from the Abakus and aspect ratio uncertainties. <bold>(c, d)</bold> Raw Abakus
data divided by Coulter counter (blue, from blue and black in <bold>a, b</bold>),
extinction calibrated Abakus data divided by modeled Abakus data (orange,
from orange and green in <bold>a, b</bold>) and fully calibrated Abakus data
divided by Coulter counter (red, from red and black in <bold>a, b</bold>).
<bold>(e, f)</bold> Probability density functions of particle volume derived from
the number density functions in <bold>(a, b)</bold> for Coulter counter (black),
raw Abakus (blue) and fully calibrated Abakus data (red).
</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://cp.copernicus.org/articles/14/601/2018/cp-14-601-2018-f05.pdf"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6"><caption><p id="d1e1315">Glacial and Holocene samples measured by
SPES.
The brighter colors have a higher number of measured particles in a bin. The
blue lines mark the 0.25 and 0.75 quantiles of <inline-formula><mml:math id="M62" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">σ</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>. The
white curves are the mean optical thickness as a function of
<inline-formula><mml:math id="M63" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">σ</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> for ADDA simulations with a refractive index of 1.55.
The upper is for an aspect ratio of 0.5, the lower for 0.2. </p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://cp.copernicus.org/articles/14/601/2018/cp-14-601-2018-f06.pdf"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS3">
  <title>SPES</title>
      <p id="d1e1352">We have measured optical thickness (<inline-formula><mml:math id="M64" display="inline"><mml:mi mathvariant="italic">ρ</mml:mi></mml:math></inline-formula>) and extinction cross section
(<inline-formula><mml:math id="M65" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">σ</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) with SPES for both Holocene and glacial samples
(Fig. <xref ref-type="fig" rid="Ch1.F6"/>) using the method of <xref ref-type="bibr" rid="bib1.bibx28" id="text.23"/> and
compared the results to ADDA simulations.
The distribution of particles in <inline-formula><mml:math id="M66" display="inline"><mml:mrow><mml:mi mathvariant="italic">ρ</mml:mi><mml:mo>,</mml:mo><mml:msub><mml:mi mathvariant="italic">σ</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> space can
be simulated using ADDA for a given particle shape and size distribution. We
have done this for oblate right square prisms of aspect ratios 0.2, 0.25,
0.3, 0.4 and 0.5. A total of 20 000 particles with a volumetric diameter
ranging from 100 <inline-formula><mml:math id="M67" display="inline"><mml:mi mathvariant="normal">nm</mml:mi></mml:math></inline-formula> to 2 <inline-formula><mml:math id="M68" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> and different refractive
indices and orientations were simulated. This size range covers the SPES
measurement range.</p>
      <p id="d1e1411">The refractive index, <inline-formula><mml:math id="M69" display="inline"><mml:mi>n</mml:mi></mml:math></inline-formula>, of atmospheric dust is on average between 1.52 and
1.55 <xref ref-type="bibr" rid="bib1.bibx24 bib1.bibx25 bib1.bibx8" id="paren.24"/>. At
Dome C in Antarctica,<?pagebreak page605?> the refractive index of Holocene and glacial ice core
dust is 1.53 and 1.56 <xref ref-type="bibr" rid="bib1.bibx20" id="paren.25"/>. We have run the simulations
using the refractive indices 1.52 and 1.55 and found only a small effect of
the refractive index on the modeled aspect ratio.</p>
      <p id="d1e1427">By comparing to SPES measurements of oblate and prolate particles in
<xref ref-type="bibr" rid="bib1.bibx28" id="text.26"/> and <xref ref-type="bibr" rid="bib1.bibx18" id="text.27"/>, it was found that the
samples are dominated by oblates. Prolates have a much narrower distribution
of optical thickness than oblates, since their orientation is fixed by the
flow. The absence of a superimposed prolate distribution indicates that no
more than 15 % of the particles are prolates. The following analysis
therefore only focuses on oblates. For a similar analysis of prolates, see
the Supplement F.</p>
      <p id="d1e1436">To compare the simulations and the data, the average of the logarithm
of the simulated optical thickness as a function of extinction cross
section was calculated. This average was then used as a least squares
fit to the measured data, for which the aspect ratio is the variable
parameter.
For values of <inline-formula><mml:math id="M70" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">σ</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> approaching the lower and upper
bound of the extinction cross section range, the SPES is not sensitive
in the full optical thickness range. To avoid bias, only
experimental data between the 0.25 and 0.75 quantile of the extinction
cross section were used in the fit.</p>
      <p id="d1e1451">For <inline-formula><mml:math id="M71" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1.52</mml:mn></mml:mrow></mml:math></inline-formula> the Holocene aspect ratio is <inline-formula><mml:math id="M72" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.42</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.03</mml:mn></mml:mrow></mml:math></inline-formula> and the glacial is
<inline-formula><mml:math id="M73" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.38</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.02</mml:mn></mml:mrow></mml:math></inline-formula>, while for <inline-formula><mml:math id="M74" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1.55</mml:mn></mml:mrow></mml:math></inline-formula> the Holocene is <inline-formula><mml:math id="M75" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.36</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula>
and the glacial is <inline-formula><mml:math id="M76" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.29</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula>.
This is independent of the volumetric diameter size distribution used
in the simulation.
The average in the refractive index range of ice core dust is
therefore <inline-formula><mml:math id="M77" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.39</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.03</mml:mn></mml:mrow></mml:math></inline-formula> for the Holocene and <inline-formula><mml:math id="M78" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.33</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.04</mml:mn></mml:mrow></mml:math></inline-formula> for the
glacial.</p>
</sec>
<sec id="Ch1.S3.SS4">
  <title>Aspect ratio effect</title>
      <p id="d1e1557">Spheres have the lowest geometrical cross section to
volume of all particles when averaged over all rotation angles of the
particles  <xref ref-type="bibr" rid="bib1.bibx4" id="paren.28"/>.
We define the geometric cross section diameter of a particle as
<inline-formula><mml:math id="M79" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">geom</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:msqrt><mml:mrow><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="italic">π</mml:mi></mml:mfrac></mml:mstyle><mml:msub><mml:mi mathvariant="italic">σ</mml:mi><mml:mi mathvariant="normal">geom</mml:mi></mml:msub></mml:mrow></mml:msqrt></mml:mrow></mml:math></inline-formula>, where
<inline-formula><mml:math id="M80" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">σ</mml:mi><mml:mi mathvariant="normal">geom</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the geometric cross section of the
particle.
However, since ice core dust is nonspherical (Sect. <xref ref-type="sec" rid="Ch1.S3.SS3"/>),
<inline-formula><mml:math id="M81" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">geom</mml:mi></mml:msub><mml:mo>&gt;</mml:mo><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">vol</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math id="M82" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">geom</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/>).
We can therefore calculate the distribution of <inline-formula><mml:math id="M83" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>
based on the aspect ratio
<inline-formula><mml:math id="M84" display="inline"><mml:mi>c</mml:mi></mml:math></inline-formula> and the distribution of <inline-formula><mml:math id="M85" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">vol</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>. The distribution of
<inline-formula><mml:math id="M86" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">vol</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M87" display="inline"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>P</mml:mi><mml:mo>(</mml:mo><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">vol</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>ln⁡</mml:mi><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">vol</mml:mi></mml:msub></mml:mrow></mml:mfrac></mml:mstyle></mml:math></inline-formula>, can be determined by the Coulter counter.</p>
      <?pagebreak page606?><p id="d1e1713">Since oblates dominate the measured samples, we will focus our model on those
instead of also considering prolates (Sect. <xref ref-type="sec" rid="Ch1.S3.SS3"/>). As
previously mentioned (Sect. <xref ref-type="sec" rid="Ch1.S2.SS3"/>), oblate particles in a
shear flow orient themselves with the flat side along the flow lines, while
they are randomly oriented in the shear direction <xref ref-type="bibr" rid="bib1.bibx10" id="paren.29"/>.
Since they are free to rotate along an axis orthogonal to the light beam
direction, we can model them as rectangles embedded in two dimensions for
which all orientation angles are equally likely (the Supplement G). The light
and detector also lie in the plane. In this 2-D model, <inline-formula><mml:math id="M88" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">vol</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is
the square root of the area of the rectangle, and <inline-formula><mml:math id="M89" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the
cross section of the rectangle.</p>
      <p id="d1e1745">Denoting the length of the short side <inline-formula><mml:math id="M90" display="inline"><mml:mi>b</mml:mi></mml:math></inline-formula>, the length the long side
<inline-formula><mml:math id="M91" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> and the aspect ratio <inline-formula><mml:math id="M92" display="inline"><mml:mrow><mml:mi>c</mml:mi><mml:mo>=</mml:mo><mml:mi>b</mml:mi><mml:mo>/</mml:mo><mml:mi>a</mml:mi></mml:mrow></mml:math></inline-formula>, the probability of <inline-formula><mml:math id="M93" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> given a certain
<inline-formula><mml:math id="M94" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">vol</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is

                <disp-formula id="Ch1.E1" content-type="numbered"><mml:math id="M95" display="block"><mml:mrow><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>P</mml:mi><mml:mo>(</mml:mo><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub><mml:mo>|</mml:mo><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">vol</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>ln⁡</mml:mi><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>=</mml:mo><mml:mfenced open="{" close=""><mml:mtable class="cases" columnspacing="1em" rowspacing="0.2ex" columnalign="left left" framespacing="0em"><mml:mtr><mml:mtd><mml:mn mathvariant="normal">0</mml:mn></mml:mtd><mml:mtd><mml:mrow><mml:mtext>for </mml:mtext><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub><mml:mo>&lt;</mml:mo><mml:mi>b</mml:mi></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mi>z</mml:mi></mml:mtd><mml:mtd><mml:mrow><mml:mtext>for </mml:mtext><mml:mi>b</mml:mi><mml:mo>&lt;</mml:mo><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub><mml:mo>&lt;</mml:mo><mml:mi>a</mml:mi></mml:mrow></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mi>z</mml:mi></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:mtext>for </mml:mtext><mml:mi>a</mml:mi><mml:mo>&lt;</mml:mo><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub><mml:mo>&lt;</mml:mo><mml:msqrt><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>+</mml:mo><mml:msup><mml:mi>b</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow></mml:msqrt></mml:mrow></mml:mtd></mml:mtr></mml:mtable></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>

          for

                <disp-formula id="Ch1.E2" content-type="numbered"><mml:math id="M96" display="block"><mml:mrow><mml:mstyle displaystyle="true" class="stylechange"/><mml:mi>z</mml:mi><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mn mathvariant="normal">2</mml:mn><mml:mi mathvariant="italic">π</mml:mi></mml:mfrac></mml:mstyle><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mn mathvariant="normal">1</mml:mn><mml:msqrt><mml:mrow><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:msup><mml:mi>a</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>+</mml:mo><mml:msup><mml:mi>b</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:mrow><mml:mrow><mml:msubsup><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msubsup></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msqrt></mml:mfrac></mml:mstyle><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula></p>
      <p id="d1e1971">The distribution of <inline-formula><mml:math id="M97" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> for all
<inline-formula><mml:math id="M98" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">vol</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> can then be found as

                <disp-formula id="Ch1.E3" content-type="numbered"><mml:math id="M99" display="block"><mml:mrow><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>P</mml:mi><mml:mo>(</mml:mo><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>ln⁡</mml:mi><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>=</mml:mo><mml:mo movablelimits="false">∫</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>P</mml:mi><mml:mo>(</mml:mo><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub><mml:mo>|</mml:mo><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">vol</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>ln⁡</mml:mi><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub></mml:mrow></mml:mfrac></mml:mstyle><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>P</mml:mi><mml:mo>(</mml:mo><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">vol</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>ln⁡</mml:mi><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">vol</mml:mi></mml:msub></mml:mrow></mml:mfrac></mml:mstyle><mml:mi mathvariant="normal">d</mml:mi><mml:mi>ln⁡</mml:mi><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">vol</mml:mi></mml:msub><mml:mo>.</mml:mo></mml:mrow></mml:math></disp-formula></p>
      <p id="d1e2102">In Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/> we calibrated the Abakus such that
<inline-formula><mml:math id="M100" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">meas</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>. Therefore
<inline-formula><mml:math id="M101" display="inline"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>P</mml:mi><mml:mo>(</mml:mo><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>ln⁡</mml:mi><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub></mml:mrow></mml:mfrac></mml:mstyle></mml:math></inline-formula>
calculated here simulates Abakus measurements.</p>
      <p id="d1e2156">This can be used to find the aspect ratio of the particles just from the
Coulter counter–Abakus discrepancy. To do this, the sum of the square of the
logarithm of the ratio between
<inline-formula><mml:math id="M102" display="inline"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>P</mml:mi><mml:mo>(</mml:mo><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>ln⁡</mml:mi><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub></mml:mrow></mml:mfrac></mml:mstyle></mml:math></inline-formula> as calculated from the Coulter counter data and the
Abakus data was minimized with respect to the aspect ratio. This gives the
aspect ratio in which <inline-formula><mml:math id="M103" display="inline"><mml:mstyle displaystyle="false"><mml:mfrac style="text"><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>P</mml:mi><mml:mo>(</mml:mo><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow><mml:mrow><mml:mi mathvariant="normal">d</mml:mi><mml:mi>ln⁡</mml:mi><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">ext</mml:mi></mml:msub></mml:mrow></mml:mfrac></mml:mstyle></mml:math></inline-formula> is most consistent with the Abakus data, which is
the most likely aspect ratio given the data.
For the Holocene data this gave <inline-formula><mml:math id="M104" display="inline"><mml:mrow><mml:mi>c</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.41</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.09</mml:mn></mml:mrow></mml:math></inline-formula>, while for the
glacial <inline-formula><mml:math id="M105" display="inline"><mml:mrow><mml:mi>c</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.31</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.04</mml:mn></mml:mrow></mml:math></inline-formula>.
The errors are propagated from the total errors on the calibrated Abakus
data.
There is, however, a large correlation between the errors in the
Holocene and glacial data, so the error in the difference is only
around 0.02, confirming a significant difference in aspect ratio between glacial and Holocene dust particles.</p>
</sec>
<sec id="Ch1.S3.SS5">
  <title>Calibration of Abakus</title>
      <p id="d1e2260">Equation (<xref ref-type="disp-formula" rid="Ch1.E3"/>) gives the extinction diameter size distribution
(Abakus) given a measured volumetric size distribution (Coulter counter) and
a known aspect ratio. However, often a measurement of the volumetric size
distribution is desired, while only Abakus measurements are available. This
requires the inversion of Eq. (<xref ref-type="disp-formula" rid="Ch1.E3"/>), which cannot be done
analytically. However, multiplying the extinction calibrated Abakus bins by
the cubic root of the aspect ratio is a good approximation. This gives the
fully calibrated Abakus data of Fig. <xref ref-type="fig" rid="Ch1.F5"/>. For the glacial
volumetric distributions, the modes of the Coulter counter, the uncalibrated
Abakus and the fully calibrated Abakus data are 2.3, 5.0 and 2.7 <inline-formula><mml:math id="M106" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>, respectively. Further details on the calibration are found in the
Supplement E.</p>
</sec>
</sec>
<sec id="Ch1.S4">
  <title>Discussion</title>
      <p id="d1e2287"><xref ref-type="bibr" rid="bib1.bibx23" id="text.30"><named-content content-type="post">Fig. 1a</named-content></xref> demonstrated that the data produced by the
Coulter counter and Abakus are proportional over 4 orders of magnitude, even
if the absolute concentration results do not agree. This is partly because
the instruments have different detection limits (see the Supplement I) and
partly because they measure two different properties of the particles:
volumetric and extinction cross section.
When the Abakus is calibrated using the true diameter of polystyrene spheres,
it gives up to 10 times as many counts as the Coulter counter for some
particle sizes when ice core samples are measured
(Fig. <xref ref-type="fig" rid="Ch1.F5"/>). It is not possible in general to calibrate the
Abakus such that it yields the same distribution as the Coulter counter for
all ice core samples. However, by combining Coulter counter and Abakus data,
additional information is gained about the aspect ratio that was not
available from the two instruments individually.</p>
      <p id="d1e2296">It has previously been suggested that it is impossible to calibrate the
Abakus using polystyrene beads due to the strong Mie oscillations
<xref ref-type="bibr" rid="bib1.bibx21" id="paren.31"><named-content content-type="post">p. 20</named-content></xref>. It was argued that since for spheres
the measured extinction cross section is a non-monotonous function of the
true diameter, it<?pagebreak page607?> cannot be inverted. However, this is based on the criterion
that <inline-formula><mml:math id="M107" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mtext>meas</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> of the Abakus should be identical to
<inline-formula><mml:math id="M108" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mtext>true</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> when measuring spheres. Since spheres have strong Mie
oscillations but ice core dust does not, this criterion is invalid. Therefore
the Abakus should be calibrated such that <inline-formula><mml:math id="M109" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mtext>meas</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> is equal to
<inline-formula><mml:math id="M110" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mtext>ext</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> instead of <inline-formula><mml:math id="M111" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mtext>true</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>
(Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/>).</p>
      <p id="d1e2362">With the SPES instrument we found that the average aspect ratio of our ice
core dust samples is <inline-formula><mml:math id="M112" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.39</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.03</mml:mn></mml:mrow></mml:math></inline-formula> for the Holocene and <inline-formula><mml:math id="M113" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.33</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.04</mml:mn></mml:mrow></mml:math></inline-formula> for
the glacial, so the particles are significantly elongated
(Sect. <xref ref-type="sec" rid="Ch1.S3.SS3"/>). Using our simple model for the relation
between <inline-formula><mml:math id="M114" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">meas</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M115" display="inline"><mml:mrow><mml:msub><mml:mi>d</mml:mi><mml:mi mathvariant="normal">vol</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, we have calculated the
aspect ratio independently from the Abakus and Coulter counter data. This
gave an aspect ratio of <inline-formula><mml:math id="M116" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.41</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.09</mml:mn></mml:mrow></mml:math></inline-formula> for the Holocene and <inline-formula><mml:math id="M117" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.31</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.04</mml:mn></mml:mrow></mml:math></inline-formula>
for the glacial in accordance with SPES. The SPES aspect ratio was calculated
for particles less than 2 <inline-formula><mml:math id="M118" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> in volumetric diameter and the Abakus
for particles between 1.2 and 9 <inline-formula><mml:math id="M119" display="inline"><mml:mrow><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>, so the measurements are not
directly comparable. However, as we only investigate the leading order effect
of the aspect ratio and atmospheric studies find no size dependence of the
aspect ratio <xref ref-type="bibr" rid="bib1.bibx12" id="normal.32"><named-content content-type="post">p. 28</named-content></xref>, it is assumed that any
possible size dependence of the aspect ratio is not large enough to
significantly change the results. In addition to giving the same aspect ratio
as SPES, the model also gives a consistent size distribution within the
Abakus uncertainties (Fig. <xref ref-type="fig" rid="Ch1.F5"/>).</p>
      <p id="d1e2465">In the Dome C ice core from the East Antarctic plateau the aspect ratios of
oblate and prolate particles have been determined to be <inline-formula><mml:math id="M120" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.2</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M121" display="inline"><mml:mrow><mml:mn mathvariant="normal">3.5</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.3</mml:mn></mml:mrow></mml:math></inline-formula>, respectively <xref ref-type="bibr" rid="bib1.bibx18" id="paren.33"/>. The ranges refer to the
variability in the aspect ratio among different particles and not the
uncertainty of the mean. In the RECAP ice core studied here, we found a
similar but slightly less extreme aspect ratio in both the Holocene and
the glacial ice. For the RECAP core, we speculate that the Holocene dust
originates from local eastern Greenlandic sources, while the glacial dust is
from central Asia <xref ref-type="bibr" rid="bib1.bibx3" id="paren.34"/>. Measurements of dust particles in dust
storms generally show an aspect ratio above 0.5. However, during transport,
the dust fractionates towards more extreme aspect ratios
<xref ref-type="bibr" rid="bib1.bibx12" id="paren.35"><named-content content-type="post">pp. 28–30</named-content></xref>. Since large ice sheets are
located far from typical dust sources, the dust extracted from ice cores
would be subject to more fractionation. Therefore we do expect more extreme
aspect ratios to be found in ice core dust than in the atmospheric dust storm
measurements. The greater aspect ratio of the local Greenlandic Holocene dust
compared to the Asian glacial dust agrees well with the aspect ratio
fractionation observed in the atmosphere.</p>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <title>Conclusions</title>
      <p id="d1e2509">The Abakus laser sensor and the Coulter counter give different size
distributions when measuring the same ice core dust sample. This is because
ice core dust particles are not spherical, so the particle volume
measurements of the Coulter counter are different from the cross section
measurements of the Abakus. When spherical particles are measured by the
Abakus, the measured extinction diameter oscillates strongly as a function of
particle size due to Mie scattering oscillations. The extinction diameter of
ice core dust does not show this oscillation pattern, but is proportional to
the volumetric diameter. When the Abakus is calibrated using spherical
particles, it should therefore be calibrated to the extinction diameter and
not to the true diameter.</p>
      <p id="d1e2512">We derived a model for extracting the aspect ratio of the dust particles
from the differences between Abakus and Coulter counter measurements of
the same ice core dust samples.
This process suggests an aspect ratio of <inline-formula><mml:math id="M122" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.41</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula> for Holocene and <inline-formula><mml:math id="M123" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.32</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.01</mml:mn></mml:mrow></mml:math></inline-formula> for glacial dust samples from the RECAP ice core, which is consistent
with direct aspect ratio measurements from a single-particle
extinction and scattering instrument.
This shows that not only is the discrepancy between the two
instruments explained by the nonspherical shape of the particles, but it
can also be used to obtain the aspect ratio.
As the Holocene dust has Greenlandic origin, while the glacial dust is
Asian, the aspect ratio could potentially aid in provenance
determination and in understanding atmospheric transport processes.
Moreover, by determining the aspect ratio, a better size distribution can
be obtained from the Abakus data.</p>
</sec>

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

      <p id="d1e2543">The data for all plots are available at
<uri>www.iceandclimate.dk/data</uri> (Centre for Ice and Climate, 2018).</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e2549"><bold>The Supplement related to this article is available online at <inline-supplementary-material xlink:href="https://doi.org/10.5194/cp-14-601-2018-supplement" xlink:title="pdf">https://doi.org/10.5194/cp-14-601-2018-supplement</inline-supplementary-material>.</bold></p></supplementary-material>
        </app-group><notes notes-type="competinginterests">

      <p id="d1e2555">The authors declare that they have no conflict of
interest.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e2561">The RECAP ice coring effort was
financed by the following: the Danish Research Council through a Sapere Aude grant, the NSF
through the Division of Polar Programs, the Alfred Wegener Institute and
the European Research Council under the European Community's Seventh
Framework Programme (FP7/2007–2013; ERC grant agreement 610055) through the
Ice2Ice project. The Centre for Ice and Climate is funded by the Danish
National Research Foundation. <?xmltex \hack{\newline}?><?xmltex \hack{\newline}?> Edited by: Eric
Wolff<?xmltex \hack{\newline}?> Reviewed by: two anonymous referees</p></ack><ref-list>
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    <!--<article-title-html>Particle shape accounts for instrumental discrepancy in ice core dust size distributions</article-title-html>
<abstract-html><p>The Klotz Abakus laser sensor and the Coulter counter are both used for
measuring the size distribution of insoluble mineral dust particles in ice
cores. While the Coulter counter measures particle volume accurately, the
equivalent Abakus instrument measurement deviates substantially from the
Coulter counter. We show that the difference between the Abakus and the
Coulter counter measurements is mainly caused by the irregular shape of dust
particles in ice core samples. The irregular shape means that a new
calibration routine based on standard spheres is necessary for obtaining
fully comparable data. This new calibration routine gives an increased
accuracy to Abakus measurements, which may improve future ice core record
intercomparisons. We derived an analytical model for extracting the aspect
ratio of dust particles from the difference between Abakus and Coulter
counter data. For verification, we measured the aspect ratio of the same
samples directly using a single-particle extinction and scattering
instrument. The results demonstrate that the model is accurate enough to
discern between samples of aspect ratio 0.3 and 0.4 using only the comparison
of Abakus and Coulter counter data.</p></abstract-html>
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Vaars,
A., and Kukla, G.: Asian provenance of glacial dust (stage 2) in the
Greenland Ice Sheet Project 2 ice core, Summit, Greenland, J.
Geophys. Res.-Ocean., 102, 26765–26781, 1997.
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Regional variability of ice core dust composition and provenance in
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