<?xml version="1.0" encoding="UTF-8"?>
<!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" dtd-version="3.0">
  <front>
    <journal-meta>
<journal-id journal-id-type="publisher">ACP</journal-id>
<journal-title-group>
<journal-title>Atmospheric Chemistry and Physics</journal-title>
<abbrev-journal-title abbrev-type="publisher">ACP</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Atmos. Chem. Phys.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1680-7324</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>

    <article-meta>
      <article-id pub-id-type="doi">10.5194/acp-17-10767-2017</article-id><title-group><article-title>Triple-wavelength depolarization-ratio profiling of Saharan dust over Barbados during SALTRACE in 2013 and 2014</article-title>
      </title-group><?xmltex \runningtitle{Triple-wavelength depolarization-ratio profiling during SALTRACE}?><?xmltex \runningauthor{M. Haarig et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Haarig</surname><given-names>Moritz</given-names></name>
          <email>haarig@tropos.de</email>
        <ext-link>https://orcid.org/0000-0002-5533-2112</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Ansmann</surname><given-names>Albert</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Althausen</surname><given-names>Dietrich</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Klepel</surname><given-names>André</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Groß</surname><given-names>Silke</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Freudenthaler</surname><given-names>Volker</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff5">
          <name><surname>Toledano</surname><given-names>Carlos</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-6890-6648</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff6">
          <name><surname>Mamouri</surname><given-names>Rodanthi-Elisavet</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-4836-8560</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff7">
          <name><surname>Farrell</surname><given-names>David A.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-0644-7164</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff7">
          <name><surname>Prescod</surname><given-names>Damien A.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff8">
          <name><surname>Marinou</surname><given-names>Eleni</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-2631-6057</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff9">
          <name><surname>Burton</surname><given-names>Sharon P.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff10">
          <name><surname>Gasteiger</surname><given-names>Josef</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-4401-0118</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Engelmann</surname><given-names>Ronny</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Baars</surname><given-names>Holger</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-2316-8960</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Leibniz Institute for Tropospheric Research, Leipzig, Germany</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Technology Innovation Center, Goldschmidt Thermit GmbH, Leipzig, Germany</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>German Aerospace Center, Institute of Atmospheric Physics, Oberpfaffenhofen, Germany</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Meteorological Institute, Ludwig Maximilians University, Munich, Germany</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>Group of Atmospheric Optics, University of Valladolid, Valladolid, Spain</institution>
        </aff>
        <aff id="aff6"><label>6</label><institution>Department of Civil Engineering and Geomatics, Cyprus University of Technology, Limassol, Cyprus</institution>
        </aff>
        <aff id="aff7"><label>7</label><institution>Caribbean Institute for Meteorology and Hydrology, Bridgetown, Barbados</institution>
        </aff>
        <aff id="aff8"><label>8</label><institution>Inst. for Astronomy, Astrophysics, Space Appl. and Remote Sensing, National Observatory Athens, Athens, Greece</institution>
        </aff>
        <aff id="aff9"><label>9</label><institution>NASA Langley Research Center, MS 475, Hampton, VA 23681, USA</institution>
        </aff>
        <aff id="aff10"><label>10</label><institution>Aerosol Physics and Environmental Physics, University of Vienna, Vienna, Austria</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Moritz Haarig (haarig@tropos.de)</corresp></author-notes><pub-date><day>13</day><month>September</month><year>2017</year></pub-date>
      
      <volume>17</volume>
      <issue>17</issue>
      <fpage>10767</fpage><lpage>10794</lpage>
      <history>
        <date date-type="received"><day>24</day><month>February</month><year>2017</year></date>
           <date date-type="rev-request"><day>3</day><month>March</month><year>2017</year></date>
           <date date-type="rev-recd"><day>24</day><month>July</month><year>2017</year></date>
           <date date-type="accepted"><day>28</day><month>July</month><year>2017</year></date>
      </history>
      <permissions>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions><self-uri xlink:href="https://acp.copernicus.org/articles/17/10767/2017/acp-17-10767-2017.html">This article is available from https://acp.copernicus.org/articles/17/10767/2017/acp-17-10767-2017.html</self-uri>
<self-uri xlink:href="https://acp.copernicus.org/articles/17/10767/2017/acp-17-10767-2017.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/17/10767/2017/acp-17-10767-2017.pdf</self-uri>


      <abstract>
    <p>Triple-wavelength polarization lidar measurements in Saharan dust layers were
performed at Barbados (13.1<inline-formula><mml:math id="M1" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 59.6<inline-formula><mml:math id="M2" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W), 5000–8000 km
west of the Saharan dust sources, in the framework of the Saharan Aerosol
Long-range Transport and Aerosol-Cloud-Interaction Experiment (SALTRACE-1,
June–July 2013, SALTRACE-3, June–July 2014). Three case studies are
discussed. High quality was achieved by comparing the dust linear
depolarization ratio profiles measured at 355, 532, and 1064 nm with
respective dual-wavelength (355, 532 nm) depolarization ratio profiles
measured with a reference lidar. A unique case of long-range transported
dust over more than 12 000 km is
presented. Saharan dust plumes crossing Barbados were measured with an
airborne triple-wavelength polarization lidar over Missouri in the midwestern
United States 7 days later. Similar dust optical properties and
depolarization features were observed over both sites indicating almost
unchanged dust properties within this 1 week of travel from the Caribbean to
the United States. The main results of the triple-wavelength polarization
lidar observations in the Caribbean in the summer seasons of 2013 and 2014
are summarized. On average, the particle linear depolarization ratios for
aged Saharan dust were found to be 0.252 <inline-formula><mml:math id="M3" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.030 at 355 nm,
0.280 <inline-formula><mml:math id="M4" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.020 at 532 nm, and 0.225 <inline-formula><mml:math id="M5" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.022 at 1064 nm after
approximately 1 week of transport over the tropical Atlantic. Based on
published simulation studies we present an attempt to explain the spectral
features of the depolarization ratio of irregularly shaped mineral dust
particles, and conclude that most of the irregularly shaped coarse-mode dust
particles (particles with diameters <inline-formula><mml:math id="M6" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 1 <inline-formula><mml:math id="M7" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m) have sizes around
1.5–2 <inline-formula><mml:math id="M8" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m. The SALTRACE results are also set into the context of
the SAMUM-1 (Morocco, 2006) and SAMUM-2 (Cabo Verde, 2008) depolarization
ratio studies. Again, only minor changes in the dust depolarization
characteristics were observed on the way from the Saharan dust sources
towards the Caribbean.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>Mineral dust belongs to the major natural atmospheric aerosol components and
influences weather and climate, visibility, air quality, and human health.
Large efforts are undertaken to develop sophisticated dust transport models
to provide predictions of dust occurrence, vertical distribution of dust
particles and their impact on the Earth's radiation field, cloud formation,
and environmental conditions <xref ref-type="bibr" rid="bib1.bibx55 bib1.bibx50 bib1.bibx35 bib1.bibx93" id="paren.1"/>. A variety of features of the impact of dust on
(climate-relevant) atmospheric processes are not well understood or
represented in atmospheric models, and thus need to be explored, preferably
in comprehensive field campaigns such as Aerosol Characterization Experiment
ACE-Asia <xref ref-type="bibr" rid="bib1.bibx54 bib1.bibx92" id="paren.2"/>, the Puerto Rico Dust Experiment
PRIDE <xref ref-type="bibr" rid="bib1.bibx22 bib1.bibx88" id="paren.3"/>, the Saharan Dust Experiment SHADE
<xref ref-type="bibr" rid="bib1.bibx97" id="paren.4"/>, the Saharan Mineral Dust Experiments SAMUM-1
<xref ref-type="bibr" rid="bib1.bibx51" id="paren.5"/> and SAMUM-2 <xref ref-type="bibr" rid="bib1.bibx8" id="paren.6"/>, the Dust and
Biomass-burning Experiment DABEX <xref ref-type="bibr" rid="bib1.bibx49" id="paren.7"/>, the Dust Outflow and
Deposition to the Ocean project DODO <xref ref-type="bibr" rid="bib1.bibx77" id="paren.8"/>, the Geostationary
Earth Radiation Budget Intercomparisons of Long-wave and Short-wave radiation
GERBILS <xref ref-type="bibr" rid="bib1.bibx60" id="paren.9"/>, Fennec <xref ref-type="bibr" rid="bib1.bibx90" id="paren.10"/>, the Saharan Aerosol
Long-Range Transport and Aerosol-Cloud-Interaction Experiment SALTRACE
<xref ref-type="bibr" rid="bib1.bibx110" id="paren.11"/>, and the Study of Saharan Dust Over West Africa SHADOW
<xref ref-type="bibr" rid="bib1.bibx105" id="paren.12"/>.</p>
      <p>Besides a precise description of dust in atmospheric models, there is also a
strong need for a better knowledge of the link between the microphysical and
optical dust properties to improve dust profiling and retrieval techniques
<xref ref-type="bibr" rid="bib1.bibx104 bib1.bibx105 bib1.bibx83 bib1.bibx71 bib1.bibx18 bib1.bibx13" id="paren.13"/>. Recently, a new aerosol retrieval technique
was proposed, which makes use of depolarization-ratio profiling and permits
the separation of fine dust, coarse dust, and residual (marine or
anthropogenic) aerosol profiles in terms of light backscatter, extinction,
and mass concentration <xref ref-type="bibr" rid="bib1.bibx72" id="paren.14"/>. Based on SALTRACE
triple-wavelength polarization measurements, an investigation is made into
which of the three wavelengths this new method works best with and results in
the lowest uncertainties <xref ref-type="bibr" rid="bib1.bibx73" id="paren.15"/>.</p>
      <p>One of the fundamental open questions regarding the influence of mineral dust
on climate is related to the specific impact of the size, shape, and chemical
composition characteristics of desert dust particles on light scattering and
depolarization <xref ref-type="bibr" rid="bib1.bibx27 bib1.bibx113 bib1.bibx80 bib1.bibx81 bib1.bibx82 bib1.bibx37 bib1.bibx65 bib1.bibx66" id="paren.16"/>. Besides modeling
studies and field observations, laboratory experiments contribute to this
field of research <xref ref-type="bibr" rid="bib1.bibx111 bib1.bibx106 bib1.bibx70 bib1.bibx23" id="paren.17"/>, with a
focus also, recently, on lidar applications <xref ref-type="bibr" rid="bib1.bibx91 bib1.bibx24 bib1.bibx79 bib1.bibx59" id="paren.18"/>. Although significant progress has been made
during the last decade, models describing the scattering properties of desert
dust particles from forward scattering to backward scattering (up to angles
of exactly 180<inline-formula><mml:math id="M9" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>) need a number of assumptions, especially about the
particle morphology and composition when explaining the optical effects
gained from active and passive remote sensing at different wavelengths from
the UV to IR <xref ref-type="bibr" rid="bib1.bibx37 bib1.bibx65 bib1.bibx66" id="paren.19"/>.
Observations of dust optical properties are in strong contradiction with
model simulations when a spherical dust particle shape model is applied. The
widely used and accepted approach to describe dust particles as spheroids
works well in the case of sun photometer retrievals <xref ref-type="bibr" rid="bib1.bibx27" id="paren.20"/>.
However, significant uncertainties in the observational products arise
whenever lidar measurements (and thus 180<inline-formula><mml:math id="M10" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> scattering processes) come
into play and are included in the data analysis in which a spheroidal shape
model is used <xref ref-type="bibr" rid="bib1.bibx107 bib1.bibx104 bib1.bibx105 bib1.bibx83" id="paren.21"/>. There is a clear need for complex efforts of simulation
studies, laboratory investigations, and field observations in order to better
parametrize the relationship between the dust particle shape and size
distribution characteristics and the scattering phase function, with emphasis
on depolarization and scattering at high scattering angles. The
depolarization ratio observed with lidar is rather sensitive to the dust
particle shape <xref ref-type="bibr" rid="bib1.bibx37 bib1.bibx65" id="paren.22"/>. The spectral dependence
of depolarization, as presented in this article, also contains information on
the dust size spectrum. Thus, triple-wavelength depolarization-ratio
observations are of great value for the optical modeling community
<xref ref-type="bibr" rid="bib1.bibx36" id="paren.23"/> and support efforts to develop realistic dust shape
models, which are not available yet. In the first stage, however, we have to
demonstrate that triple-wavelength depolarization observations can be
successfully performed.</p>
      <p>To contribute to this field of dust research, we redesigned and upgraded our
multiwavelength polarization/Raman lidar BERTHA <xref ref-type="bibr" rid="bib1.bibx2 bib1.bibx98 bib1.bibx47" id="paren.24"><named-content content-type="pre">Backscatter Extinction
lidar-Ratio Temperature Humidity profiling Apparatus;</named-content></xref>. BERTHA has been used in nine field campaigns in
Europe, Asia, and Africa from 1997 to 2008 <xref ref-type="bibr" rid="bib1.bibx109 bib1.bibx5 bib1.bibx30 bib1.bibx98 bib1.bibx99" id="paren.25"/>. We implemented new
channels to permit simultaneous observations of dust linear depolarization
ratios at 355, 532, and 1064 nm. <xref ref-type="bibr" rid="bib1.bibx33" id="text.26"/> and
<xref ref-type="bibr" rid="bib1.bibx16" id="text.27"/> showed already that the dust linear depolarization ratio
significantly changes with the transmitted laser wavelength, obviously as a
result of changing contributions of fine-mode dust particles (particles with
diameters <inline-formula><mml:math id="M11" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 1 <inline-formula><mml:math id="M12" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m) and coarse-mode (super-micrometer) particles
to the light depolarization. <xref ref-type="bibr" rid="bib1.bibx16" id="text.28"/> recently presented
triple-wavelength polarization lidar observations in an aged and fresh dust
layer performed with an airborne high-spectral-resolution
lidar (HSRL-2). The main goal of the paper is
to present for the first time ground-based triple-wavelength
polarization/Raman lidar observations (case studies) of the depolarization
ratio of Saharan dust after long-range transport and to provide a
high-quality statistical data set of dust depolarization ratios at 355, 532,
and 1064 nm. We conducted three campaigns on the Caribbean island of
Barbados in the framework of SALTRACE. Two of them took place in the summer
seasons of 2013 (SALTRACE-1) and 2014 (SALTRACE-3) to study Saharan dust
layers advected from Africa towards North America. The third field campaign
(SALTRACE-2) was performed in February–March 2014 to continue our research
on mixed dust and smoke transport towards America during the winter half year
<xref ref-type="bibr" rid="bib1.bibx7 bib1.bibx10 bib1.bibx100 bib1.bibx89" id="paren.29"/>.</p>
      <p>We begin our SALTRACE report with a short description of the SALTRACE
experiment and instrumentation. The main part of Sect. 2 (and the Appendix)
deals with the explanations of the triple-wavelength polarization lidar
BERTHA. The results are presented in Sects. 3 and 4. In Sect. 3, three case
studies are discussed. A statistical overview of the SALTRACE depolarization
measurements is given in Sect 4. The findings are compared with respective
results from the foregoing SAMUM-1 and SAMUM-2 field campaigns and the
Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) satellite
observations in the discussion Sect. 5. Concluding remarks are given in
Sect. 6.</p>
</sec>
<sec id="Ch1.S2">
  <title>SALTRACE campaigns and instrumentation</title>
<sec id="Ch1.S2.SS1">
  <title>The SALTRACE project</title>
      <p>The SALTRACE field campaigns performed in the summer of 2013 and in the
winter and summer of 2014 belong to the SAMUM–SALTRACE field campaign
series. As shown and illustrated in Fig. 7 of <xref ref-type="bibr" rid="bib1.bibx110" id="text.30"/>, six
comprehensive dust field campaigns have been conducted since 2006: SAMUM-1,
SAMUM-2a and 2b, and SALTRACE-1, 2, and 3. The first SAMUM project, SAMUM-1
<xref ref-type="bibr" rid="bib1.bibx51" id="paren.31"/>, took place in southern Morocco (May–June 2006) to
investigate the role of freshly emitted dust in the climate system. SAMUM-2
<xref ref-type="bibr" rid="bib1.bibx8" id="paren.32"><named-content content-type="pre">Cabo Verde; SAMUM-2a, January–February 2008; SAMUM-2b, May–June
2008;</named-content></xref> investigated the dust
physicochemical, optical, and radiative properties of mixtures of biomass
burning smoke and mineral dust (SAMUM-2a, winter transport regime) and of
pure dust (SAMUM-2b, summer transport mode) after an atmospheric transport
over 1000–3000 km (1–3 days after emission). During SALTRACE, we
investigated the dust properties after atmospheric travel over 5–12 days and
5000–8000 km <xref ref-type="bibr" rid="bib1.bibx110" id="paren.33"/>.</p>
      <p>As the logistically favorable field site for lidar observations, the
Caribbean Institute for Meteorology
and Hydrology was selected (CIMH, 13.1<inline-formula><mml:math id="M13" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 59.6<inline-formula><mml:math id="M14" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W,
110 m above sea level, m a.s.l.), located in
Husbands, in the northern part of the capital Bridgetown on the west coast of
Barbados. The station is not influenced by any local (island) anthropogenic
pollution because of the steady northeasterly airflow and the absence of
strong pollution sources in the northern
part of Barbados, upwind of the lidar station. In the summer months of June
and July (SALTRACE-1 and 3), transported dust layers were observed. The
SALTRACE lidar activities were complemented by shipborne observations along
the main Saharan dust transport route over the tropical North Atlantic in
April–May 2013 <xref ref-type="bibr" rid="bib1.bibx63 bib1.bibx89 bib1.bibx9" id="paren.34"/>; in situ
observations of microphysical (size distribution, mass concentration,
particle shape), chemical, and optical aerosol properties at Ragged Point
(20 km east of CIMH) at the east coast of Barbados <xref ref-type="bibr" rid="bib1.bibx68 bib1.bibx112" id="paren.35"/>; and airborne in situ aerosol observations and Doppler lidar
measurements of aerosol layering and atmospheric wind fields
<xref ref-type="bibr" rid="bib1.bibx19 bib1.bibx20 bib1.bibx21 bib1.bibx110" id="paren.36"/>. The SALTRACE in
situ observations include studies of the efficacy of aged desert dust to
serve as cloud condensation nuclei
<xref ref-type="bibr" rid="bib1.bibx68 bib1.bibx112 bib1.bibx110" id="paren.37"/> as well as modeling studies of
dust transport across the Atlantic <xref ref-type="bibr" rid="bib1.bibx20 bib1.bibx9" id="paren.38"/> and the
impact of the Caribbean island on the airflow and downward mixing of dust
<xref ref-type="bibr" rid="bib1.bibx58 bib1.bibx21" id="paren.39"/>.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <title>Meteorological conditions</title>
      <p>In <xref ref-type="bibr" rid="bib1.bibx89" id="text.40"/>, the dust transport from Africa towards the
Caribbean is discussed. The main features of dust layering across
the Atlantic described by the conceptual
model <xref ref-type="bibr" rid="bib1.bibx64" id="paren.41"/> are illuminated and compared with the shipborne
SALTRACE lidar observations. According to the conceptual model
<xref ref-type="bibr" rid="bib1.bibx64" id="paren.42"/> hot, dry, dust-laden air masses emerge from the
western coast of Africa as a series of large-scale pulses in the summer
months. Associated with easterly wave activity, Saharan dust outbreaks occur
as discrete episodic pulses, which generally last 3–5 days. These dust
outbreaks are mostly confined to a well-mixed layer, the Saharan air layer
(SAL), that often extends to 5–6 km in height over West Africa due to
intense solar heating in summer months. The airborne dust is carried westward
by the prevailing easterly flow in the latitude belt of 10–25<inline-formula><mml:math id="M15" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N.
As the dust plumes are advected further west in the predominantly easterly
flow, the base of the SAL rises rapidly as it is undercut by the relatively
clean northeasterly trade winds. The well-mixed SAL resides above the trade
wind inversion layer which is on top of the marine aerosol layer (MAL). The
dust transport takes usually 5–7 days across the Atlantic. The strong
temperature inversion at the base of the SAL limits convective activity and
consequently precludes the possibility of strong wet deposition, except
during periods with deep convection and precipitation.</p><?xmltex \hack{\newpage}?>
</sec>
<sec id="Ch1.S2.SS3">
  <title>Triple-wavelength polarization lidar BERTHA</title>
      <p>We begin with a short historical overview of polarization lidar observations
of tropospheric dust. The polarization lidar technique was applied to
tropospheric aerosols for the first time in the early 1970s
<?xmltex \hack{\mbox\bgroup}?><xref ref-type="bibr" rid="bib1.bibx78" id="paren.43"/><?xmltex \hack{\egroup}?>. Systematic measurements of the depolarization ratio in
desert dust layers started in the 1980s in eastern Asia <xref ref-type="bibr" rid="bib1.bibx67 bib1.bibx57" id="paren.44"/> and demonstrated the importance of polarization lidar for dust
monitoring. Consequently, the Asian Dust Lidar Network was established in the
1990s <xref ref-type="bibr" rid="bib1.bibx84 bib1.bibx92" id="paren.45"/>. In Europe, systematic Saharan dust
studies with polarization lidars began in the 1990s <xref ref-type="bibr" rid="bib1.bibx40 bib1.bibx41 bib1.bibx26" id="paren.46"/>. Dust was investigated later on by means of
polarization lidar in the framework of the European Aerosol Research Lidar
Network <xref ref-type="bibr" rid="bib1.bibx6" id="paren.47"><named-content content-type="pre">e.g.,</named-content></xref>. All of the ground-based observations,
conducted before SALTRACE, were based on single-wavelength lidar
observations, although several single-wavelength-lidar systems were combined
during dedicated field campaigns such as SAMUM-1 and 2
<xref ref-type="bibr" rid="bib1.bibx33 bib1.bibx43 bib1.bibx99" id="paren.48"/>. In the majority of
applications the laser wavelength was 532 nm. <xref ref-type="bibr" rid="bib1.bibx96" id="text.49"/> presented
the first ground-based dual-wavelength polarization lidar observations of
dust performed at 532 and 1064 nm. Airborne dual-wavelength polarization
lidar observations (at 532 and 1064 nm) were realized in Saharan dust aboard
the <italic>Falcon</italic> of the Germany Aerospace Center during SAMUM-1 in 2006
<xref ref-type="bibr" rid="bib1.bibx33" id="paren.50"/>. During SALTRACE, dual-wavelength polarization
lidars were operated simultaneously at 355 and 532 nm <xref ref-type="bibr" rid="bib1.bibx63 bib1.bibx44 bib1.bibx89" id="paren.51"/>. And recently the first triple-wavelength
polarization lidars were developed and performed dust observations at 355,
532, and 1064 nm aboard an aircraft <xref ref-type="bibr" rid="bib1.bibx16" id="paren.52"/> and on the ground
<xref ref-type="bibr" rid="bib1.bibx46" id="paren.53"/>.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><caption><p>Sketch of BERTHA's emitter and receiver. All detection channels are
photomultiplier tubes (PMTs, operated in the photon counting mode) and the
numbers indicate the central wavelength of transmission in nanometers of the
interference filter. Polarization filters are oriented perpendicular to the
emitted state of polarization and are placed in front of the “cross”
channels. The “total” channels measure the cross and the parallel part of
the backscattered light. POL denotes polarizer to purify the laser
polarization, BT denotes beam trap, HN denotes helium neon laser as reference
for the wavemeter, STM denotes steering mirror with stepper motors to adjust
the overlap, CAM denotes camera to visualize the overlap, FM denotes flat
mirror (consisting of two mirrors, the small one for emitted pulses, the
large one for backscattered light), PM stands for main or primary mirror and SM for counter or secondary mirror
of the Cassegrain telescope, and TPOL means turnable polarization filter for
<inline-formula><mml:math id="M16" display="inline"><mml:mi mathvariant="normal">Δ</mml:mi></mml:math></inline-formula>90<inline-formula><mml:math id="M17" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> calibration, APT motorized aperture, and COL collimator.
Finally RR denotes rotational Raman channel, and HSRL denotes the
high-spectral-resolution lidar channel.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/10767/2017/acp-17-10767-2017-f01.png"/>

        </fig>

      <p>The schematic structure of the lidar system BERTHA is shown in
Fig. <xref ref-type="fig" rid="Ch1.F1"/>. Two Nd:YAG lasers transmit linearly polarized laser
pulses at 355 and 1064 nm (first laser) and at 532 nm (second laser) with a
repetition rate of 30 Hz. Two linear polarizers are installed behind the
laser and before the beam expander to further clean the polarization of the
outgoing light. The pulse energies can be as high as 1000 mJ (1064 nm),
800 mJ (532 nm), and 120 mJ (355 nm) in the ideal case of well-working optical
elements in the transmission unit of the lidar. However, the pulse energies
were only about 50 % of these maximum values during the SALTRACE campaigns.
Two lasers are used for two reasons: firstly to have a frequency-stabilized
532 nm laser for the implementation of the HSRL-channel and secondly to have
a backup laser in the field campaign. The laser beams are aligned on an
optical axis and directed through a beam expander. The beams are expanded
tenfold and afterwards pointed into the atmosphere at an off-zenith angle of
5<inline-formula><mml:math id="M18" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>. By using a tilt angle of <inline-formula><mml:math id="M19" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 3<inline-formula><mml:math id="M20" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>, specular reflection by
falling and horizontally aligned ice crystals no longer influences the
measurements, as our experience shows.</p>
      <p>A Cassegrain telescope with 53 cm diameter collects the backscattered light.
The receiver field of view is 0.8 mrad.</p>
      <p>The receiver unit was completely re-designed to measure the linear
depolarization ratio at all three wavelengths. In addition, a high spectral
resolution (HSR) channel was added (see Fig. <xref ref-type="fig" rid="Ch1.F1"/>). All detectors
are photomultiplier tubes (PMTs) working in the photon counting mode
(H10721P-110 from Hamamatsu). But for the 1064 nm channels the PMT R3236
from Hamamatsu is used at a temperature below <inline-formula><mml:math id="M21" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>30 <inline-formula><mml:math id="M22" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C to reduce
signal noise in the near infrared. The elastic backscatter signals (total
signals) as well as the so-called cross-polarized signal components are
detected at the three emitted wavelengths (355, 532, 1064 nm). Polarization
filters, each adjusted orthogonal to the plane of linear polarization of the
outgoing laser pulses, are placed in front of the detectors which enable the
detection of the cross-polarized laser radiation at the three wavelengths.
For these six elastic channels, interference filters with 1 nm FWHM (full
width at half maximum) are placed in front of each PMT. The
vibrational–rotational Raman signals at 387 and 607 nm (nitrogen) and
407 nm (water vapor, night time only) are detected as well. Interference
filters with 3 nm FWHM are used at the Raman wavelengths. A double-grating
monochromator enables the detection of pure rotational Raman signals from
nitrogen and oxygen (J0, J6, and J12) from the 532 nm emission wavelength.
Neutral density filters are placed in front of each detector to adjust the
signal to the linear range of the detector to avoid dead time effects of the
photomultipliers. Nevertheless the
PMTs are tested in the lab to correct high counting rates for dead time
effects if necessary <xref ref-type="bibr" rid="bib1.bibx28" id="paren.54"/>.</p>
      <p>The signals are detected with a range resolution of 7.5 m and a time
resolution of 5 to 30 s. A camera is used to visualize the overlap between
the 532 nm laser beam and the receiver field of view (RFOV). The camera is permanently placed in the position of a
receiving channel <xref ref-type="bibr" rid="bib1.bibx28" id="paren.55"><named-content content-type="pre">see</named-content></xref>. Complete overlap is reached
at 800–1000 m for the 532 nm related channels and approximately at 1500 m for the
355 nm related channels. The 355
and 532 nm backscatter coefficient is derived from the ratio of the elastic
backscatter signal to the respective nitrogen Raman signal (387 or 607 nm)
and is therefore not much affected by the overlap profile. Even at 1064 nm
we used the nitrogen Raman signal at 387 nm as the reference signal in the
1064 nm backscatter retrieval. Both signals are caused by backscattered
laser-1 photons (see Fig. <xref ref-type="fig" rid="Ch1.F1"/>) so that almost the same overlap
characteristics hold for both signals, and the overlap effects widely cancel
out when forming the signal ratio. We used the sun photometer observations
(Sect. <xref ref-type="sec" rid="Ch1.S2.SS6"/>) of the spectral slope of aerosol extinction for
the correction of minor differential (387 nm vs. 1064 nm) particle
extinction effects in the backscatter retrieval. On clear (dust-free) days we
checked the overlap function according to <?xmltex \hack{\mbox\bgroup}?><xref ref-type="bibr" rid="bib1.bibx108" id="text.56"/><?xmltex \hack{\egroup}?>.
Trustworthy results can be obtained at altitudes above about 400 m for the
backscatter coefficient and above about 1000 m for the extinction
coefficient, derived from the 387 and 607 nm nitrogen Raman signal profiles.
To control the correct alignment, a telecover test
<?xmltex \hack{\mbox\bgroup}?><xref ref-type="bibr" rid="bib1.bibx31" id="paren.57"/><?xmltex \hack{\egroup}?> with eight segments (four inner and
four outer) has been performed during SALTRACE-2 and in Leipzig in the autumn
of 2014.</p>
      <p>The focus of this article is on depolarization-ratio observations. In order
to ensure a high quality of the data, the polarization sensitivity of the
lidar system was characterized carefully. The polarization-sensitive
transmission of the optical elements in the
emitter and the receiver has been characterized. A detailed description of
the polarization characterization can be found in
Appendix <xref ref-type="sec" rid="App1.Ch1.S1"/>.</p>
      <p>The basic lidar-derived quantity is the volume linear depolarization ratio
defined as the ratio of cross- to co-polarized signal components
<xref ref-type="bibr" rid="bib1.bibx39" id="paren.58"/>. The prefixes “co” and “cross” denote the planes of polarization (for
which the receiver channels are sensitive) parallel and orthogonal to the
plane of linear polarization of the transmitted laser pulses, respectively.
In the case of BERTHA we measure the cross-polarized and total (cross <inline-formula><mml:math id="M23" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>
co-polarized) signal components and thus determine the co-polarized signal
component from the cross-polarized and total signal components (more details
are given in the Appendix).</p>
      <p>The volume depolarization ratio at 355 and 532 nm is influenced by light
depolarization by air molecules, aerosol, and cloud particles. To obtain the
particle depolarization ratio a correction for molecular depolarization
effects has to be applied <xref ref-type="bibr" rid="bib1.bibx12" id="paren.59"/>. To account for molecular
backscatter, extinction and depolarization contributions to the measured
lidar signals we used the SALTRACE radiosonde observations at CIMH, which
were performed twice a day (Sect. <xref ref-type="sec" rid="Ch1.S2.SS7"/>). The radiosonde height
profiles of air temperature and pressure profiles permit the computation of
the actual height profile of air molecule number concentration over Barbados.</p>
      <p>The presence of cirrus is routinely used to check the consistence of the
depolarization ratios at different wavelengths among each other. Because the
size of the ice crystals is usually much larger than the laser wavelength,
the measured optical properties are close together for the 355 to 1064 nm
wavelength range. This can be used to evaluate the quality of the
depolarization-ratio observations for each of the three wavelengths. Case
study II in the next section will be an example for these routine checks.</p>
      <p>An extended analysis of systematic uncertainties in the retrieved optical
properties can be found in <xref ref-type="bibr" rid="bib1.bibx33" id="text.60"/>,
<xref ref-type="bibr" rid="bib1.bibx32" id="text.61"/>, <xref ref-type="bibr" rid="bib1.bibx98 bib1.bibx99 bib1.bibx100" id="text.62"/>, and <xref ref-type="bibr" rid="bib1.bibx14" id="text.63"/>.
The error bars of the retrieval products given in the next sections show
standard deviations considering the overall uncertainty.</p>
</sec>
<sec id="Ch1.S2.SS4">
  <title>POLIS</title>
      <p>During the SALTRACE-1 campaign in the summer of 2013, the dual-wavelength
polarization lidar POLIS (Portable Lidar System) of the Munich University
<xref ref-type="bibr" rid="bib1.bibx44" id="paren.64"/> was operated at CIMH, about 50 m north of the BERTHA lidar.
POLIS is a well-designed and characterized six-channel polarization/Raman
lidar and provides volume linear depolarization-ratio profiles at 355 and
532 nm with high accuracy <xref ref-type="bibr" rid="bib1.bibx34 bib1.bibx14" id="paren.65"/>. POLIS
is used as the reference polarization lidar system in EARLINET calibration
and quality-assurance activities. The deployment of both lidars at the same
site was motivated by the fact that the 13-channel BERTHA lidar, which
integrates the HSR lidar technique, Raman aerosol, water vapor,
temperature profiling methods, and now in addition the multiwavelength
depolarization-ratio profiling option in one system, is a complex lidar
system with a large number of potential sources for uncertainties (see
Appendix A). Therefore to avoid any risk and to guarantee a high-quality
SALTRACE data set of multiwavelength depolarization-ratio profiles, we
decided to run POLIS and BERTHA side by side during the entire SALTRACE-1
campaign at CIMH.</p>
      <p>The full overlap of the laser beams of POLIS with the RFOV is at about 200 to
250 m above ground <xref ref-type="bibr" rid="bib1.bibx45" id="paren.66"/>, so well within the marine boundary
layer (MBL) and below the lofted Saharan air layer. The range
resolution of the raw data is 3.75 m, the temporal resolution 5–10 s
depending on atmospheric conditions. The repetition rate of the frequency
doubled and tripled Nd:YAG laser is 10 Hz with a pulse energy of 50 mJ at 355 nm and 27 mJ at 532 nm (see Table <xref ref-type="table" rid="Ch1.T1"/> for more details).</p>
</sec>
<sec id="Ch1.S2.SS5">
  <title>CALIOP</title>
      <p>Spaceborne lidar observations of the 532 nm particle linear depolarization
ratio are used for comparison with the 532 nm particle depolarization ratios
from the ground-based lidar observations during SAMUM-1, SAMUM-2, and
SALTRACE. We analyzed all CALIOP observations <xref ref-type="bibr" rid="bib1.bibx17" id="paren.67"/> for
well-defined areas over Morocco (26–31<inline-formula><mml:math id="M24" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 3–8<inline-formula><mml:math id="M25" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W), in
the Cabo Verde region (13–18<inline-formula><mml:math id="M26" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 21–26<inline-formula><mml:math id="M27" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W), and around
Barbados (10–15<inline-formula><mml:math id="M28" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 55–60<inline-formula><mml:math id="M29" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W),
performed in June 2013 (11–13 overpasses), July 2013 (15–17 overpasses),
June 2014 (13–16 overpasses), and July 2014 (11–14 overpasses). We checked
all day and night overpasses (scenes) for the presence of dust and averaged
all dusty signal profiles within the defined areas. In order to retrieve the
dust depolarization-ratio profiles for each overpass, only the observations
characterized as dust from the CALIPSO subtype algorithm <xref ref-type="bibr" rid="bib1.bibx85" id="paren.68"/> are
used. In these profiles, the particle linear depolarization ratio is
recalculated from L2 perpendicular and total backscatter profiles, to improve
the accuracy compared to the original CALIPSO L2-Version 3 product, which has
a known error <xref ref-type="bibr" rid="bib1.bibx101 bib1.bibx3" id="paren.69"/>. Furthermore, several quality
control procedures and filtering criteria are applied in the data set as
described in <xref ref-type="bibr" rid="bib1.bibx74" id="text.70"/>.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1"><caption><p>Main system parameters of the BERTHA and POLIS lidar systems.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.93}[.93]?><oasis:tgroup cols="3">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Property</oasis:entry>  
         <oasis:entry colname="col2">BERTHA</oasis:entry>  
         <oasis:entry colname="col3">POLIS</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">Emitted wavelengths (nm)</oasis:entry>  
         <oasis:entry colname="col2">355, 532, 1064</oasis:entry>  
         <oasis:entry colname="col3">355, 532</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Pulse energy (mJ)<inline-formula><mml:math id="M31" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">120 <inline-formula><mml:math id="M32" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> 800 <inline-formula><mml:math id="M33" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> 1000</oasis:entry>  
         <oasis:entry colname="col3">50 <inline-formula><mml:math id="M34" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> 27</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Repetition rate (Hz)</oasis:entry>  
         <oasis:entry colname="col2">30</oasis:entry>  
         <oasis:entry colname="col3">10</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Telescope</oasis:entry>  
         <oasis:entry colname="col2">Cassegrain</oasis:entry>  
         <oasis:entry colname="col3">Dall–Kirkham</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Eff. telescope diameter (m)</oasis:entry>  
         <oasis:entry colname="col2">0.53</oasis:entry>  
         <oasis:entry colname="col3">0.175</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Receiver field of view (mrad)</oasis:entry>  
         <oasis:entry colname="col2">0.8</oasis:entry>  
         <oasis:entry colname="col3">2.5</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Detected wavelengths (nm)</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">– elastic (total)</oasis:entry>  
         <oasis:entry colname="col2">355, 532, 1064</oasis:entry>  
         <oasis:entry colname="col3"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">– co-polarized</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3">355, 532</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">– cross-polarized</oasis:entry>  
         <oasis:entry colname="col2">355, 532, 1064</oasis:entry>  
         <oasis:entry colname="col3">355, 532</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">– inelastic (vib. Raman)</oasis:entry>  
         <oasis:entry colname="col2">387, 407,  607</oasis:entry>  
         <oasis:entry colname="col3">387, 607</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">– further</oasis:entry>  
         <oasis:entry colname="col2">532<inline-formula><mml:math id="M35" display="inline"><mml:msub><mml:mi/><mml:mtext>HSRL</mml:mtext></mml:msub></mml:math></inline-formula>, 532<inline-formula><mml:math id="M36" display="inline"><mml:msub><mml:mi/><mml:mtext>RR</mml:mtext></mml:msub></mml:math></inline-formula>,</oasis:entry>  
         <oasis:entry colname="col3"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Range resolution (m)</oasis:entry>  
         <oasis:entry colname="col2">7.5</oasis:entry>  
         <oasis:entry colname="col3">3.75</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table><table-wrap-foot><p>HSRL – high-spectral-resolution lidar; RR – rotational Raman.<?xmltex \hack{\\}?><inline-formula><mml:math id="M30" display="inline"><mml:msup><mml:mi/><mml:mo>∗</mml:mo></mml:msup></mml:math></inline-formula> Internal attenuation are not taken into account for BERTHA, but for
POLIS.</p></table-wrap-foot></table-wrap>

      <p>In the next step, we selected those height ranges (below 6 km height) of the
monthly mean profiles in which the depolarization ratios were almost
height-independent and computed the column-averaged 532 nm particle
depolarization ratio for these specific height ranges. These column values
are used for comparison in Sects. 4 and 5. The selected height ranges with
almost height-independent depolarization ratios extended from 800–1000 to
3700–5600 m a.s.l. (Morocco), from 1500–2300 to 4800–5400 m a.s.l.
(Cabo Verde), and from 2500 to 3200–4200 m a.s.l.
(Barbados). At lower heights, contamination with aerosol pollution and/or
marine particles caused a significantly lower depolarization ratio. Therefore
these lower heights were not considered in the dust-related depolarization
data analysis.</p>
</sec>
<sec id="Ch1.S2.SS6">
  <title>AERONET photometers</title>
      <p>Three sun photometers were run during the SALTRACE campaign at CIMH lidar
station in 2013. Besides two CIMEL sun–sky photometers of AERONET <xref ref-type="bibr" rid="bib1.bibx53" id="paren.71"><named-content content-type="pre">Aerosol
Robotic Network;</named-content></xref> from TROPOS and the University of
Valladolid (see Barbados_SALTRACE, <xref ref-type="bibr" rid="bib1.bibx1" id="altparen.72"/>), an automatic
sun–sky radiometer of the Meteorological Institute of the University of
Munich measured the spectral aerosol optical thickness (AOT) and sky
radiances <xref ref-type="bibr" rid="bib1.bibx102 bib1.bibx103" id="paren.73"/>. The photometers covered a
wavelength range from 340 to 1640 nm. The TROPOS photometer was operated from
June 2013 to July 2014 (with an interruption from October 2013 to February
2014 caused by a damage of the sun photometer). Another photometer of AERONET
is installed at Ragged Point (east coast of Barbados) in the vicinity of the
Barbados Cloud Observatory <xref ref-type="bibr" rid="bib1.bibx95" id="paren.74"/>. The Ragged Point photometer
has performed measurements since 2007.</p>
</sec>
<sec id="Ch1.S2.SS7">
  <title>Radiosonde profiling</title>
      <p>As during the SAMUM-1 and 2 campaigns, we regularly performed radiosonde
observations. The Vaisala RS92 radiosondes measuring height profiles of
temperature, air pressure, relative humidity, wind speed, and direction up to
heights above 20 km were launched around local noon (15:00–16:00 UTC,
11:00–12:00 local time, LT) and after sunset (23:00–24:00 UTC, 19:00–20:00 LT). In total 133 radiosonde ascends were conducted at CIMH, 56, 35,
and 42 during the SALTRACE-1, 2, and 3 campaigns, respectively.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><caption><p>Saharan air layer (from 1.5 to 4.7 km height above ground level)
above the marine boundary layer. Panel <bold>(b)</bold> shows the range-corrected
cross-polarized 532 nm backscatter signal with temporal and vertical
resolutions of 30 s and 7.5 m, respectively. Panel <bold>(d)</bold> shows the
532 nm volume linear depolarization ratio. The lidar observation was
performed on 10 July 2013, 19:15–20:45 LT. A radiosonde was launched at
19:29 LT (indicated by black vertical lines). The radiosonde profiles of
wind speed (WS) and wind direction (WD) are shown in panel <bold>(a)</bold>, the
profiles of relative humidity (RH) and temperature (<inline-formula><mml:math id="M37" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>) in
panel <bold>(c)</bold>.</p></caption>
          <?xmltex \igopts{width=441.017717pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/10767/2017/acp-17-10767-2017-f02.pdf"/>

        </fig>

</sec>
</sec>
<sec id="Ch1.S3">
  <title>SALTRACE case studies</title>
      <p>Three case studies are presented to discuss the quality and accuracy of the
spectrally resolved depolarization-ratio observations with BERTHA. The first
case study from summer 2013 offers the opportunity of direct comparisons with
the Munich lidar system POLIS, measured at the same field site in the
framework of the SALTRACE-1 campaign <xref ref-type="bibr" rid="bib1.bibx44" id="paren.75"/>. In summer 2014 only
the lidar system BERTHA measured the transported Saharan dust. Two cases are
shown: the first with a cirrus cloud, where the depolarization ratio is
known, and the second, where the same dust reached the North American
continent 1 week later and was measured by the HSRL-2
<xref ref-type="bibr" rid="bib1.bibx16" id="paren.76"/>.</p><?xmltex \hack{\newpage}?>
<sec id="Ch1.S3.SS1">
  <title>Case study I: Comparison of POLIS and BERTHA observations (11 July 2013)</title>
      <p>A strong and long-lasting dust outbreak occurred from 9 to 13 July 2013.
Figure <xref ref-type="fig" rid="Ch1.F2"/> shows the BERTHA observations of the lofted
SAL in the evening of 10 July 2013 (19:15–20:45 LT). The African air mass
crossed Barbados with 15–20 m s<inline-formula><mml:math id="M38" 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> wind speed from east to west
according to the radiosonde profiles (Fig. <xref ref-type="fig" rid="Ch1.F2"/>a). The
relative humidity ranged from 30 to 50 % in the dust layer between 1.75
and 4.6 km height (Fig. <xref ref-type="fig" rid="Ch1.F2"/>c). The moist marine aerosol
layer (MAL), indicated by high relative humidity around 80–90 %, reached
to 1.75 km height on this evening. The MBL is the convective part of the MAL
and is often topped with trade wind cumuli. The MAL extends up to the base of
the SAL, which coincides with the trade wind inversion zone. Downward mixing
of dusty air into the upper part of the marine aerosol layer is visible in
Fig. <xref ref-type="fig" rid="Ch1.F2"/>d (green colors between 0.5 and
1.5 km a.s.l.). This layer is also called the intermediate layer
<xref ref-type="bibr" rid="bib1.bibx61" id="paren.77"/>, due to its location between the convective boundary layer
and the SAL. The heterogeneous structures in the 532 nm volume
depolarization height–time display in
Fig. <xref ref-type="fig" rid="Ch1.F2"/>d below 1.5 km height
are caused by island effects. Differences in orography and heat release over
land and ocean surfaces disturb the air mass flow in the lowest part of the
atmosphere <xref ref-type="bibr" rid="bib1.bibx58" id="paren.78"/>. Such vertical mixing features were not observed
during the SALTRACE shipborne lidar observations over the open Atlantic in
May 2013 <xref ref-type="bibr" rid="bib1.bibx62 bib1.bibx89" id="paren.79"/>. The backward trajectories in
Fig. <xref ref-type="fig" rid="Ch1.F3"/> at 3000 m height indicate dust uptake
over desert areas of northwestern Africa so that contamination with
anthropogenic pollution was probably low. The dusty air masses traveled
5–7 days across the Atlantic to Barbados.</p>
      <p>Figure <xref ref-type="fig" rid="Ch1.F4"/> presents the particle optical properties
obtained with the conventional Raman lidar technique <xref ref-type="bibr" rid="bib1.bibx4" id="paren.80"/>.
Typical features of Saharan dust were observed <xref ref-type="bibr" rid="bib1.bibx75 bib1.bibx86 bib1.bibx99 bib1.bibx87 bib1.bibx105 bib1.bibx52" id="paren.81"/>. The
backscatter and extinction coefficients at 355 and 532 nm are similar and
the dust 1064 nm backscatter coefficient is significantly lower than the
respective 532 nm backscatter coefficient in the SAL. The observed Saharan
dust lidar ratios accumulate in the 50–60 sr range at 355 and 532 nm.
Below 1.75 km height a mixture of marine particles and dust particles
prevailed so that the lidar ratio decreased. For pure marine conditions, the
lidar ratio would be close to 15–25 sr <xref ref-type="bibr" rid="bib1.bibx29 bib1.bibx43 bib1.bibx15 bib1.bibx25 bib1.bibx89 bib1.bibx48" id="paren.82"/>. The SAL AOT was about
0.3 at 355 and 532 nm on this day. Figure <xref ref-type="fig" rid="Ch1.F5"/> shows
the particle linear depolarization-ratio profiles obtained with POLIS and
BERTHA on 11 July 2013, 00:00–00:45 UTC. The POLIS backscatter coefficients
in Fig. <xref ref-type="fig" rid="Ch1.F5"/>a are computed by applying
the Klett method with a dust lidar ratio of 55 sr within the SAL and
30–40 sr below the SAL <?xmltex \hack{\mbox\bgroup}?><xref ref-type="bibr" rid="bib1.bibx44" id="paren.83"/><?xmltex \hack{\egroup}?>. The Raman lidar method is used in
the computation of the backscatter profiles from the BERTHA observations.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><caption><p>Ensemble of 10-day backward trajectories <xref ref-type="bibr" rid="bib1.bibx94 bib1.bibx56" id="paren.84"/> for 11 July 2013, 01:00 UTC, arriving at 3000 m over
Barbados.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/10767/2017/acp-17-10767-2017-f03.png"/>

        </fig>

      <p>As can be seen, very good agreement is obtained regarding the volume linear
depolarization ratio at 355 and 532 nm (Fig. <xref ref-type="fig" rid="Ch1.F5"/>b). In
the computation of the particle depolarization ratio, the particle
backscatter coefficients are required and cause further uncertainty. This
impact is most sensitive at 355 nm. The apparent noise in the 355 nm
particle depolarization-ratio profiles is caused by the backscatter
coefficients used. At 355 and 532 nm the SAL mean particle depolarization
ratio can be compared between BERTHA (0.25 and 0.28 at 355 and 532 nm,
respectively) and POLIS (0.26 and 0.27). Both systems agree very well. Only
BERTHA measured at 1064 nm, and derived a SAL mean particle depolarization
ratio of 0.22. Below the SAL, all particle depolarization ratios decrease.
The down-mixed dust prevents a decrease towards pure marine values of
0.02–0.03 <xref ref-type="bibr" rid="bib1.bibx43" id="paren.85"/>.</p>
      <p>In Fig. <xref ref-type="fig" rid="Ch1.F5"/>c, profiles of the ratio of particle
depolarization ratios (355 nm over 532 nm in blue, 1064 nm over 532 nm in
red) are shown. The mean values are 0.81 (1064 <inline-formula><mml:math id="M39" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> 532 nm) and 0.88
(355 <inline-formula><mml:math id="M40" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> 532 nm). The observed height
independence of the particle depolarization ratios at all three wavelengths
and of the less noisy ratio of the 1064-to-532 nm depolarization ratios
implies vertically homogeneous dust size–shape characteristics. An impact of
gravitational settling leading to a decrease of coarse-mode dust
concentration in the SAL top region after 5–10 days of travel, which would
show up in a significant change in the spectral slope of the depolarization
ratio (especially at 1064 nm), is not visible. This corroborates the
hypothesis proposed by <xref ref-type="bibr" rid="bib1.bibx38" id="text.86"/> that heating of the dust
particles and turbulent mixing of the SAL air masses during daytime hours may
widely reduce coarse-mode dust removal by gravitational settling of
particles.</p>
</sec>
<sec id="Ch1.S3.SS2">
  <title>Case study II: Measurements of the dust layer and a cirrus (20 June 2014)</title>
      <p>During SALTRACE-3 in 2014, POLIS was not available. Cirrus depolarization
measurements were used to check the quality of triple-wavelength
depolarization observations over time. Ice crystals are very large compared
to the laser wavelengths so that the spectral dependence of backscattering,
extinction, and depolarization properties is rather weak.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><caption><p>45 min mean profiles of <bold>(a)</bold> the particle backscatter
coefficient at three wavelengths, <bold>(b)</bold> extinction coefficient at two
wavelengths, and <bold>(c)</bold> extinction-to-backscatter ratio (lidar ratio)
at two wavelengths, measured with BERTHA on 11 July 2013, 00:00–00:45 UTC.
Error bars indicate the retrieval uncertainty (1 standard deviation). The vertical signal smoothing window
length is 200 m (backscatter coefficient) and 1000 m (extinction
coefficient, lidar ratio). The column values of the Ångström exponent
(AE 440–870 nm) and the aerosol optical depth (AOD) from the closest
AERONET observation are indicated.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/10767/2017/acp-17-10767-2017-f04.pdf"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><caption><p>Comparison of POLIS and BERTHA depolarization-ratio observations.
Shown are 45 min mean profiles of <bold>(a)</bold> the particle backscatter
coefficient at 355 (POLIS light blue, BERTHA dark blue) and 532 nm
wavelength (POLIS light green, BERTHA dark green); <bold>(b)</bold> the volume
(dashed curves) and particle linear depolarization ratio (solid lines) at
355 nm (POLIS light blue, BERTHA dark blue), 532 nm (POLIS light green,
BERTHA dark green), and 1064 nm (BERTHA, red line, equal volume and particle
depolarization-ratio profiles); and <bold>(c)</bold> the ratio of the 355 to
532 nm particle depolarization ratio (POLIS light blue, BERTHA dark blue)
and 1064 to 532 nm particle depolarization ratio (BERTHA, red). POLIS and
BERTHA observations were taken simultaneously on 11 July 2013,
00:00–00:45 UTC. Error bars indicate the retrieval uncertainty
(1 standard deviation). The
vertical signal smoothing window length is 200 m (BERTHA, POLIS).</p></caption>
          <?xmltex \igopts{width=327.206693pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/10767/2017/acp-17-10767-2017-f05.pdf"/>

        </fig>

      <p>Figure <xref ref-type="fig" rid="Ch1.F6"/> presents a cirrus measurement performed on
20–21 June 2014. The cirrus layer between 12 and 14 km height was optically
thin with an AOT of 0.1. The wavelength-independent backscatter coefficients
of up to 3.5 Mm<inline-formula><mml:math id="M41" 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> sr<inline-formula><mml:math id="M42" 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> at cirrus center indicate peak particle
extinction values of 100–120 Mm<inline-formula><mml:math id="M43" 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 extinction values are obtained by
applying a multiple-scattering-corrected cirrus lidar ratio of 30–35 sr to
the cirrus backscatter coefficients <xref ref-type="bibr" rid="bib1.bibx47" id="paren.87"/>. The extinction
measured with the Raman channels would need a too-large smoothing length in
the thin cirrus.</p>
      <p>As shown in Fig. <xref ref-type="fig" rid="Ch1.F6"/>b, depolarization ratios within the cirrus
(above 12.2 km height) for 532 and 1064 nm are almost equal up to cloud
top. The 1064 nm particle linear depolarization ratio is close to 0.5 and
height-independent from 12.2 to 13.3 km height. The noisy 355 nm particle
depolarization ratio is less trustworthy, but close to the 532 and 1064 nm
depolarization ratios at least in the cirrus backscatter center from 12.4 to
12.8 km height. This consistent cirrus measurement of wavelength-independent
cirrus backscatter and depolarization corroborate that BERTHA was performing
well and that our dust observations below 5 km height are trustworthy.</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F6"><caption><p><bold>(a)</bold> Aerosol layers below 4 km height and cirrus layer from
12 to 14 km height in terms of particle backscatter coefficient at three
wavelengths observed with BERTHA on
20–21 June 2014, 23:10-02:10 UTC (signal averaging period), and
<bold>(b)</bold> cirrus ice crystal depolarization ratio (solid lines, volume
depolarization ratio as dashed lines) at three wavelengths. At 1064 nm the
volume depolarization ratio is equal to the particle depolarization ratio.
The vertical signal smoothing length is 200 m. Error bars show the relative
uncertainty in the retrievals (1 standard deviation).</p></caption>
          <?xmltex \igopts{width=190.633465pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/10767/2017/acp-17-10767-2017-f06.pdf"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><caption><p>Saharan air layer (from 1 to 4 km height) above the marine boundary
layer. The same parameters as in Fig. <xref ref-type="fig" rid="Ch1.F2"/> are shown. The
lidar observation was performed on 20 June 2014, 19:10–22:10 LT. The
radiosonde was launched at 19:49 LT (indicated by
black vertical lines).</p></caption>
          <?xmltex \igopts{width=441.017717pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/10767/2017/acp-17-10767-2017-f07.pdf"/>

        </fig>

      <p>Figure <xref ref-type="fig" rid="Ch1.F7"/> shows the aerosol layers in the lower
troposphere on this cirrus day. A 3 km thick SAL was present above the marine
aerosol layer. Relative humidities of 40–50 % in the SAL were comparably
high and suggest some mixing with moist marine air.</p>
      <p>The HYSPLIT backward trajectories in Fig. <xref ref-type="fig" rid="Ch1.F8"/>
corroborate this hypothesis. A total of 4 days before arriving at Barbados, the air masses at 2.5 km height had
the chance of vertical mixing with marine particles or African pollution.
Only the uppermost dust layer (3–4 km height over Barbados, trajectories
not shown) seems to contain pure dust. The air masses arriving at 3.5 km
height were above 6 km over desert areas in western Africa.</p>
      <p>Figure <xref ref-type="fig" rid="Ch1.F9"/> presents the particle optical properties
derived from the BERTHA observations. A steady and almost monotonic decrease
of the backscatter coefficients with height was found. The extinction
coefficients at 355 and 532 nm are again very close and the SAL AOT was about
0.25. The lidar ratios range from 40 to 50 sr in the layer from 1 to 3 km height,
which probably contained some marine and anthropogenic haze particles, and
were higher with values of 50–60 sr in the uppermost pure dust layer (3–4 km
height).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8"><caption><p>Ensemble of 10-day HYSPLIT backward trajectories for 21 June 2014,
00:00 UTC, arriving at 2500 m over Barbados.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/10767/2017/acp-17-10767-2017-f08.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><caption><p>3 h mean profiles of <bold>(a)</bold> the particle backscatter
coefficient at three wavelengths, <bold>(b)</bold> the extinction coefficient and
lidar ratio at two wavelengths, <bold>(c)</bold> the volume and particle linear
depolarization ratio at three wavelengths, and <bold>(d)</bold> the ratio of the 355
to 532 nm and 1064 to 532 nm particle depolarization ratio. The lidar
observation was performed on 20–21 June 2014, 23:10–02:10 UTC. The
vertical signal smoothing window length is 200 m (backscatter coefficient,
depolarization ratio) and 750 m (extinction coefficient, lidar ratio). Error
bars indicate the retrieval uncertainty.</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/10767/2017/acp-17-10767-2017-f09.pdf"/>

        </fig>

      <p>The height profiles of the 532 and 1064 nm particle depolarization ratio
show slightly different profile shapes
(Fig. <xref ref-type="fig" rid="Ch1.F9"/>c). The 1064 nm
depolarization ratio decreases slightly with height whereas the 532 nm
increases with height. Since the 1064 nm depolarization ratio is very sensitive to coarse-mode
particles, the decrease of the 1064 nm depolarization ratio (and of the
ratio of 1064-to-532 nm depolarization ratios,
Fig. <xref ref-type="fig" rid="Ch1.F9"/>d) may be related to a
decreasing coarse-mode mean radius of the particles with height. The 532 nm
depolarization ratio seems to be relatively insensitive against small changes in the
coarse-mode size distribution <xref ref-type="bibr" rid="bib1.bibx73" id="paren.88"/>. The 532 nm depolarization
ratio for coarse mode particles is always in the range of 0.35–0.4. The
slightly lower 532 nm depolarization values around 2 km height may again
indicate a different history of the dust transport. The more fine-mode
sensitive depolarization ratios (355 and 532 nm) and the respective ratio of
355-to-532 nm depolarization ratios show an almost height-invariant behavior
when ignoring the noise in the 355 nm depolarization-ratio profile
(Fig. <xref ref-type="fig" rid="Ch1.F9"/>d).</p>
</sec>
<sec id="Ch1.S3.SS3">
  <?xmltex \opttitle{Case study III: Dust transport from Africa to Missouri over 12\,000\,km (6~July 2014)}?><title>Case study III: Dust transport from Africa to Missouri over 12 000 km (6 July 2014)</title>
      <p>A unique case was observed during SALTRACE-3 on 6 July 2014. A 3 km deep
dust layer crossed Barbados and traveled westward towards the United States
(see backward trajectories in Fig. <xref ref-type="fig" rid="Ch1.F10"/> and
time-height display of the BERTHA observations in
Fig. <xref ref-type="fig" rid="Ch1.F11"/>). Coincidentally, this aged dust layer was
observed with an airborne triple-wavelength polarization lidar
(high-spectral-resolution lidar HSRL-2) 1 week later <xref ref-type="bibr" rid="bib1.bibx16" id="paren.89"/>. We
use this unexpected opportunity to compare the triple-wavelength
depolarization observations of aged dust after long-range transport over
6000 km (Barbados) and 12 000 km (Missouri, midwestern USA). Rather low
relative humidities around 20 % were measured with radiosonde in the
lofted SAL (see Fig. <xref ref-type="fig" rid="Ch1.F11"/>c), suggesting almost no
interference with cloud formation and associated upward mixing of marine air
into the lower part of the SAL. High wind speeds around 18 m s<inline-formula><mml:math id="M44" 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>
prevailed above 2.5 km height over Barbados. The 12.5-day backward
trajectories indicate that the dust observed over Barbados at 2.5 and 3.5 km
height descended towards 1.6 and 2.4 km height over Missouri, after crossing
Yucatán (Mexico), Texas, and Oklahoma. After leaving the African
continent, the dust layers arrived after 5 and 12 days over Barbados and
Missouri, respectively.</p>
      <p>Figure <xref ref-type="fig" rid="Ch1.F12"/> shows the aerosol optical properties derived
from the BERTHA measurements. The triple-wavelength particle linear
depolarization observations performed over Missouri are added. The
backscatter, extinction, and lidar ratio profiles again show typical dust
optical properties. The SAL AOT was about 0.3 over Barbados on this day. The
backscatter and extinction coefficients were roughly 25–30 % lower in
the lofted dust layer over Missouri compared to the values measured over
Barbados 1 week before.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10"><caption><p>12.5-day HYSPLIT backward trajectories for 13 July 2014, 17:00 UTC,
arriving at 1600 m (red) and 2400 m (blue) over
southern Missouri (midwestern United
States). The location (Barbados) and time of the corresponding BERTHA lidar
measurement is indicated by a green vertical line.</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/10767/2017/acp-17-10767-2017-f10.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F11" specific-use="star"><caption><p>Saharan air layer (from 1.2 to 4.2 km height) above the marine
boundary layer. The same parameters as in Fig. <xref ref-type="fig" rid="Ch1.F2"/> are
shown. The lidar observation was performed on 6 July 2014, 19:18–21:33 LT.
The radiosonde was launched at 19:47 LT (indicated by a black vertical
line).</p></caption>
          <?xmltex \igopts{width=441.017717pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/10767/2017/acp-17-10767-2017-f11.pdf"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F12" specific-use="star"><caption><p>Same as Fig. <xref ref-type="fig" rid="Ch1.F9"/>, except for 6–7 July 2014,
23:18–01:33 UTC. For comparison, respective height profiles of the particle
linear depolarization ratio (355 nm in light blue, 532 nm in light green,
and 1064 nm in orange) and for the ratio of depolarization ratios (in light
blue and orange) measured with an airborne triple-wavelength polarization
lidar (HSRL-2) <xref ref-type="bibr" rid="bib1.bibx16" id="paren.90"/> on 13 July 2014, 17:00 UTC are shown. The
airborne lidar observations were performed in Missouri (midwestern United
States), about 7000 km and 7 days downwind of Barbados.</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/10767/2017/acp-17-10767-2017-f12.pdf"/>

        </fig>

      <p>An excellent agreement between the two lidar data sets of
depolarization-ratio profiles was found
(Fig. <xref ref-type="fig" rid="Ch1.F12"/>c). When comparing the
values in the layers from 2.5 to 4.0 km height over Barbados with the values
in the layer from 1.5 to 2.0 km height over Missouri, both lidars found
similar depolarization ratios. At 532 nm (0.28, BERTHA; 0.30, HSRL-2) and
1064 nm (0.26, BERTHA; 0.27–0.28, HSRL-2), the depolarization ratio over
Barbados is slightly lower. The 355 nm depolarization ratio measured with
BERTHA with a larger systematic uncertainty is around 0.24. It is higher than
over Missouri (0.21, HSRL-2). But the spectral behavior
(Fig. <xref ref-type="fig" rid="Ch1.F12"/>d) of the 1064 nm to
the 532 nm depolarization ratio was the same over Barbados and Missouri
(0.91). The 355 <inline-formula><mml:math id="M45" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> 532 ratio of depolarization ratios decreased between
Barbados and the US.</p>
      <p>Note also the higher depolarization ratios in the planetary boundary layer
over Missouri (Fig. <xref ref-type="fig" rid="Ch1.F12"/>c).
Probably, new soil dust particles were injected into the continental
planetary boundary layer and then mixed upward into the lofted aged SAL over
the United States. This entrainment of fresh coarse dust especially
influences the 1064 nm depolarization ratio. Fine-mode pollution is released
as well over the United States, and upward mixing and entrainment of
pollution aerosol into the SAL affects the 355 nm depolarization ratio most
sensitively. Nevertheless, the agreement is surprisingly good. Even after
7 days of travel from Barbados to the midwestern United States, the Saharan
aerosol widely preserved its dust characteristics. No significant height
dependence of the optical properties (lidar ratio, depolarization ratio,
ratio of depolarization ratios) is visible in the main parts of the layer
over both sites.</p>
</sec>
</sec>
<sec id="Ch1.S4">
  <title>SALTRACE statistical overview</title>
      <p>Figure <xref ref-type="fig" rid="Ch1.F13"/> provides an overview of all triple-wavelength
depolarization-ratio observations with BERTHA during the summer SALTRACE
campaigns. SAL mean values of 8 evening sessions (SALTRACE-1, summer 2013)
and 13 evening sessions (SALTRACE-3, summer 2014) are shown. The respective
mean values derived from the BERTHA observations in June 2013 and 2014 and
July 2013 and 2014 are shown as horizontal lines. In addition, monthly means
of the SAL column dust depolarization ratio obtained from spaceborne lidar
CALIOP observations at 532 nm in the Barbados region (10–15<inline-formula><mml:math id="M46" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 55–60<inline-formula><mml:math id="M47" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W) are presented.</p>
      <p>The number of evening observations with a complete set of depolarization
ratios at all three wavelengths is comparably low for SALTRACE-1 (2013)
because of many days with rainy and cloudy weather, days without dust, and
also due to problems with one of the lasers. In 2014, 13 evening data sets of
triple-wavelength depolarization-ratio profiles out of a total of 21 possible
evening lidar sessions could be used for the statistics in
Fig. <xref ref-type="fig" rid="Ch1.F13"/>. Fewer days with closed cloud decks and rain periods
hampered observations in 2014. The 5-week SALTRACE-1 field phase was embedded
in a typical tropical wet season. Short-term dust episodes were frequently
interrupted by rainy weather. Radiosonde profiles often showed different wind
directions from south to northeast within the 3–5 km thick Saharan dust
layers until 9–10 July 2013. Cloud formation and activation of dust
particles to serve as cloud condensation nuclei, as well as rain and
corresponding washout, probably significantly influenced the dust
characteristics during the long-range transport across the Atlantic. A
pronounced, well-defined dust outbreak lasting several days was observed only from 9 to 13 July
during the SALTRACE-1 campaign
in 2013. Most of the July 2013 observations in Fig. <xref ref-type="fig" rid="Ch1.F13"/> were
taken during this final SALTRACE-1 dust outbreak. In contrast, more
homogeneous and vertically well-structured dust outbreaks were observed in
June and July 2014. The summer of 2014 was an extraordinary dry season in the
Barbados area and over the tropical Atlantic. Cloud processing and washout by
rain was strongly suppressed in the summer of 2014. Continuous and almost
undisturbed dust transport from Africa towards the Caribbean occurred.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F13"><caption><p>Overview of SAL layer mean particle depolarization ratios measured
with triple-wavelength polarization lidar BERTHA during SALTRACE-1 (2013) and
SALTRACE-3 (2014). Only triple-wavelength observations (one per evening) are
considered. Horizontal lines show the mean values of all measurements
conducted in 1 of the 4 SALTRACE months in 2013 and 2014. Error bars
indicated the standard deviation calculated from all depolarization values
(available with 50 m vertical resolution) between SAL base and top.
Respective CALIOP monthly mean values and standard deviations of the SAL
column particle depolarization ratios at 532 nm are shown for comparison.
Level 2 version 3.30 CALIPSO aerosol profile data around Barbados are used
for this retrieval <xref ref-type="bibr" rid="bib1.bibx17" id="paren.91"/>. The systematic error bars shown on the
left-hand side illustrate the impact of all the retrieval uncertainties on
the results.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/10767/2017/acp-17-10767-2017-f13.pdf"/>

      </fig>

      <p>The fluctuations in the individual depolarization-ratio values in
Fig. <xref ref-type="fig" rid="Ch1.F13"/> partly reflect the impact of cloudy and rainy
weather. The mean values (horizontal lines) for July 2013 (with the
well-defined dust outbreak) and June and July 2014 differ significantly from the
ones for June 2013 for the wavelengths of 532 and 1064 nm. On average, the
532 and 1064 nm particle depolarization ratios accumulated in the 0.28–0.30
and 0.22–0.26 ranges, respectively, during the more dry and less cloud- and
rain-affected periods. A similar contrast (wet 2013 vs. dry 2014 months) is
observed with CALIOP. The CALIOP monthly means include SAL column values
around Barbados (10–15<inline-formula><mml:math id="M48" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 55–60<inline-formula><mml:math id="M49" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> W). The large standard deviation
bars of the CALIOP monthly means in Fig. <xref ref-type="fig" rid="Ch1.F13"/> mainly indicate
the atmospheric variability within the defined areas given in
Sect. <xref ref-type="sec" rid="Ch1.S2.SS5"/>. Good agreement between the BERTHA and the CALIOP
measurements is found.</p>
      <p>A considerable part of the scatter in the BERTHA data is, however, caused by
retrieval uncertainties (see the systematic uncertainty bars in
Fig. <xref ref-type="fig" rid="Ch1.F13"/>). These uncertainties are rather large for 355 nm.
The error bars of the individual measurements only show the variability
(standard deviation, SD) around the mean values within the observed
individual SAL height range from base to top. The systematic errors of the
1064 nm particle depolarization ratio are comparably small. Thus the
fluctuations of the 1064 nm depolarization ratio indicate the changes in the
dust microphysical characteristics from day to day. The large-particle
fraction is expected to vary with time as a function of varying dust removal
strength due to different travel conditions across the Atlantic and different
weather conditions. This especially influences the 1064 nm SAL mean
depolarization ratio, according to the discussion below. The depolarization-ratio
measurements at 1064 nm will improve the retrieval of microphysical
properties according to <xref ref-type="bibr" rid="bib1.bibx36" id="text.92"/>.</p>
      <p>Table <xref ref-type="table" rid="Ch1.T2"/> provides the overall SALTRACE (summers of 2013
and 2014) mean depolarization-ratio values for all three wavelengths, the
associated SD values (showing the day-to-day variability of the SAL), and
typical systematic retrieval errors. Typical systematic errors are obtained
from averaging of the respective uncertainties of the 21 evening
observational cases. The SALTRACE mean depolarization ratios are 0.25
(355 nm), 0.28 (532 nm), and 0.23 (1064 nm).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F14" specific-use="star"><caption><p>Comparison of dust-layer mean particle linear depolarization ratios
measured during SAMUM-1 (Morocco), SAMUM-2 (Cabo Verde), and SALTRACE
(Barbados). Colored bars show the range of mostly observed depolarization
ratios at 355 nm (blue), 532 nm (green), and 1064 nm (red). The lidars
BERTHA, POLIS, and MULIS (the second polarization lidar of Munich University)
and the airborne high-spectral-resolution lidar (HSRL) of DLR (Deutsches
Zentrum für Luft- und Raumfahrt) were used to collect this data set. Data
are taken from the publications of <xref ref-type="bibr" rid="bib1.bibx33" id="text.93"><named-content content-type="post">SAMUM-1, 19 cases for MULIS,
2–4 cases for the other
systems</named-content></xref>, <xref ref-type="bibr" rid="bib1.bibx42" id="text.94"><named-content content-type="post">SAMUM-2, 9 cases for POLIS, 5 cases for
MULIS</named-content></xref>, <xref ref-type="bibr" rid="bib1.bibx44" id="text.95"><named-content content-type="post">SALTRACE, POLIS-6</named-content></xref>, and from this
study (21 cases). In addition, CALIOP mean values of SAL column
depolarization ratios considering all observations during the 4 SALTRACE
months (June and July in 2013 and 2014) are shown. The mean values consider
all CALIOP overpasses of selected areas in southeastern Morocco, in the Cabo
Verde region, and around Barbados during these 4 months.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/10767/2017/acp-17-10767-2017-f14.png"/>

      </fig>

      <p>We found good agreement between the two depolarization data sets collected
with POLIS <xref ref-type="bibr" rid="bib1.bibx44" id="paren.96"/> and BERTHA for July 2013. On average, particle
depolarization ratios were 0.28 (POLIS) and 0.29 (BERTHA) at 532 nm and 0.27
(POLIS) and 0.26 (BERTHA) at 355 nm. For June 2013, the results at 532 nm
differ significantly. On average, we observed with BERTHA June 2013 means of
0.26 (532 nm) and 0.26 (355 nm) based on four individual evening
measurements. The POLIS June 2013 mean values (based on three evening
measurement sessions) were higher at 532 nm (0.29) and equal at 355 nm
(0.26). The large systematic uncertainties in the BERTHA depolarization
ratios are probably mainly responsible for the observed differences as well
as the low number of observations.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2"><caption><p>SALTRACE mean particle linear depolarization ratio and corresponding
standard deviation (SD), for all three wavelengths, observed within the
Saharan dust layer with BERTHA in June and July 2013 and June and July 2014
(21 cases). Typical uncertainties in the retrieval of individual particle
depolarization-ratio values (systematic errors, Sys. error) are given for
comparison. These uncertainties consider the volume depolarization retrieval
uncertainties (see Appendix) and uncertainties in the backscatter
coefficients required as input in addition.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="4">
     <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:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Wavelength</oasis:entry>  
         <oasis:entry colname="col2">Mean</oasis:entry>  
         <oasis:entry colname="col3">SD</oasis:entry>  
         <oasis:entry colname="col4">Sys. error</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">355 nm</oasis:entry>  
         <oasis:entry colname="col2">0.252</oasis:entry>  
         <oasis:entry colname="col3">0.030</oasis:entry>  
         <oasis:entry colname="col4">0.074</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">532 nm</oasis:entry>  
         <oasis:entry colname="col2">0.280</oasis:entry>  
         <oasis:entry colname="col3">0.020</oasis:entry>  
         <oasis:entry colname="col4">0.019</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">1064 nm</oasis:entry>  
         <oasis:entry colname="col2">0.225</oasis:entry>  
         <oasis:entry colname="col3">0.022</oasis:entry>  
         <oasis:entry colname="col4">0.008</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</sec>
<sec id="Ch1.S5">
  <title>Discussion</title>
      <p>Figure <xref ref-type="fig" rid="Ch1.F14"/> provides an overview of the entire
SAMUM–SALTRACE data set of depolarization ratios collected from 2006 to 2014
in southeastern Morocco (SAMUM-1), at Praia in Cabo Verde (SAMUM-2), and on
Barbados (SALTRACE). There is almost no change of the mean 355 nm and
532 nm particle depolarization ratio with distance from the dust source when
combining the BERTHA (Barbados) and POLIS–MULIS (Cabo Verde, Morocco) data
sets. The POLIS–MULIS data sets indicate a slow decrease of the mean 532 nm
depolarization value from 0.31 (Morocco) to 0.30 (Cabo Verde) to 0.28
(Barbados), but the difference is not significant. The available 1064 nm
mean values indicate a significant decrease from a Morocco mean value of 0.27
to a Barbados mean value of 0.23. We speculate that a large fraction of large
dust particles causing depolarization ratios of 0.40 is present over areas
close to the Sahara but that these large particles are strongly removed
before reaching Barbados. The other two wavelengths (355 and 532 nm) are
more sensitive to fine-mode dust (accumulation-mode particles with diameters
<inline-formula><mml:math id="M50" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 1 <inline-formula><mml:math id="M51" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m), for which the removal by gravitational settling is less
efficient. In particular, the 355 nm SAL values, widely controlled by
fine-mode dust particles, show rather robust behavior. No trend in the
355 nm depolarization values is observed in the SAMUM-1, SAMUM-2,
and SALTRACE data.</p>
      <p>Figure <xref ref-type="fig" rid="Ch1.F14"/> includes CALIOP depolarization measurements
performed in the Morocco, Cabo Verde, and Barbados regions in June and July of
2013 and 2014. The overall 4-month mean values (plus SD) are shown. The
CALIOP 532 nm mean values (and SD) are 0.31 <inline-formula><mml:math id="M52" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.07 (Morocco), 0.30 <inline-formula><mml:math id="M53" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.05
(Cabo Verde), and 0.30 <inline-formula><mml:math id="M54" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.06 (Barbados). Good agreement between the
ground-based BERTHA and spaceborne CALIOP observations is obtained, and no
significant trend in the 532 nm particle depolarization ratio found.
<xref ref-type="bibr" rid="bib1.bibx105" id="text.97"/> reported average 532 nm particle linear
depolarization ratios of 0.30 <inline-formula><mml:math id="M55" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.045 for the SHADOW campaign in Senegal
during dust outbreaks in March–April 2015.</p>
      <p>The spectral slope of the depolarization ratio, shown in
Fig. <xref ref-type="fig" rid="Ch1.F15"/>, with the maximum at 532 nm and lower values at 355
and 1064 nm, reflects the different influence of the fine-mode and
coarse-mode dust fractions on the overall (fine <inline-formula><mml:math id="M56" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> coarse) particle
depolarization ratio at the three wavelengths. The 355 nm dust particle
depolarization ratio is strongly influenced by fine-mode dust (up to
50–60 % fine mode fraction (FMF) according to AERONET observations).
Fine-mode dust causes a depolarization ratio around 0.20 at 355 nm. The
comparably weak influence of coarse-mode dust (causing depolarization ratios
<inline-formula><mml:math id="M57" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.30) leads to an overall (fine <inline-formula><mml:math id="M58" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> coarse-mode) particle linear
depolarization ratio of 0.25 <inline-formula><mml:math id="M59" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.03. The 532 nm dust depolarization
ratio is still sensitively influenced by fine-mode dust (FMF 10–30 %
contribution, causing a fine-mode depolarization ratio around 0.15) but also
by the coarse-mode dust particle fraction (leading to a depolarization ratio
of 0.35–0.40). The overall effect of fine-mode and coarse-mode
depolarization then leads to the observed 532 nm depolarization ratios
around 0.28–0.30. In contrast, about 95 % of the 1064 nm dust particle
depolarization ratio is caused by coarse-mode dust particles (FMF 5 %),
according to AERONET observations, and seems to be between 0.20 and 0.28 for
dust after long-range transport. The influence of the fine- and coarse-mode
dust fractions on the particle linear depolarization ratio is discussed in
detail by <xref ref-type="bibr" rid="bib1.bibx73" id="text.98"/>.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F15"><caption><p>SALTRACE mean dust particle linear depolarization ratios at 355,
532, and 1064 nm (SAL column mean values and corresponding standard
deviations) measured with BERTHA (21 cases). In addition, the HSRL-2
observation <xref ref-type="bibr" rid="bib1.bibx16" id="paren.99"/> discussed in Sect. 3.3 is shown. The
observational findings are compared with respective model results, which are
based on the dust size–shape characteristics described in
<xref ref-type="bibr" rid="bib1.bibx38" id="text.100"/>.</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/10767/2017/acp-17-10767-2017-f15.pdf"/>

      </fig>

      <p>Simulation studies of <xref ref-type="bibr" rid="bib1.bibx65" id="text.101"/> can be used to interpret our
depolarization observations. These simulations are based on realistic dust
particle shapes, measured during SAMUM-1 in Morocco
<?xmltex \hack{\mbox\bgroup}?><xref ref-type="bibr" rid="bib1.bibx69" id="paren.102"/><?xmltex \hack{\egroup}?>. For the so-called dolomite shape type, the
simulations yield 1064 and 532 nm coarse-mode particle linear depolarization
ratios of 0.20–0.25 and 0.35–0.40, respectively, provided dust particles
with diameters around 1.5–2.0 <inline-formula><mml:math id="M60" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m dominate
backscattering of laser photons. These depolarization values are in good
agreement with the 1064 nm lidar observations as well as with 532 nm
depolarization studies when taking a dust fine-mode fraction of 20 % (as
indicated by AERONET sun photometer observations), a fine-mode depolarization
ratio of 0.15, and a measured 532 nm depolarization ratio of 0.30 into
account, as explained in detail by <xref ref-type="bibr" rid="bib1.bibx73" id="text.103"/>. It is interesting to
note in this context that the AERONET photometer observations during dust
outbreaks over Barbados in 2013 and 2014 show that the coarse-mode effective
diameter accumulates around 3 <inline-formula><mml:math id="M61" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.4 <inline-formula><mml:math id="M62" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m, which indicates that
most coarse-mode dust particles after long-range transport have diameters in
the 1–3 <inline-formula><mml:math id="M63" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m size range. <xref ref-type="bibr" rid="bib1.bibx105" id="text.104"/> retrieved overall
(fine-mode <inline-formula><mml:math id="M64" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> coarse-mode) effective diameters of 2–2.5 <inline-formula><mml:math id="M65" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m from
the multiwavelength lidar measurements in the dust plumes over Senegal during
the SHADOW campaign.</p>
      <p>This consistency between the lidar observations, photometer retrievals, and
simulation studies is promising and suggests that our triple-wavelength
polarization lidar observations are very useful for the next steps in dust
simulation studies with the goal of developing an appropriate dust size–shape
parametrization scheme for atmospheric weather and climate models. However,
the consistency created here is not more than an hypothesis. Many more
laboratory and model studies, together with our complex field observations, are
required to improve stepwise our knowledge on the complex relationship
between fundamental dust properties and related optical effects.</p>
      <p>Figure <xref ref-type="fig" rid="Ch1.F15"/> provides a comparison of the observations with
triple-wavelength polarization lidars (BERTHA, HSRL-2) and a preliminary
modeling result of the depolarization ratios described by
<xref ref-type="bibr" rid="bib1.bibx38" id="text.105"/> in their hypothesis with vertical mixing during the
day. A mix of irregularly shaped (non-spheroidal) particles and small
spherical ammonium sulfate particles is assumed in the simulation. The
mineralogical variability is mimicked by mixing of absorbing and
non-absorbing particles. The spectral trend observed with the lidars is also
visible in the simulation. The deviation of the modeled spectral slope of the
depolarization ratio from the observed wavelength dependence may be related
to the shape parametrization of the rough estimate of the dust size
distribution. Figure <xref ref-type="fig" rid="Ch1.F15"/> may be regarded as the starting point of
a comprehensive modeling effort. Dense observational data on depolarization
ratios together with airborne in situ observations of size distributions and
the mineralogical and chemical composition of the dust particles in the Barbados
region <xref ref-type="bibr" rid="bib1.bibx110" id="paren.106"/> are now available for in-depth simulation studies
of dust optical properties.</p>
</sec>
<sec id="Ch1.S6" sec-type="conclusions">
  <title>Conclusions</title>
      <p>Triple-wavelength polarization lidar measurements in long-range transported
Saharan dust layers were performed in Barbados, 5000–8000 km west of the
Saharan dust sources, in the framework of three SALTRACE campaigns, each
lasting several weeks. High quality was achieved by comparing the BERTHA
observations with depolarization-ratio profiles measured with a reference
system and by using cirrus layers in which the spectral dependence of the
particle depolarization ratio vanishes. A unique case of long-range-transported dust over more than 12 000 km was presented and indicated widely
unchanged Saharan dust optical properties even after a travel time of 2 weeks since the emission. On average, the particle linear depolarization
ratios for aged Saharan dust were found to be 0.252 <inline-formula><mml:math id="M66" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.030 at 355 nm,
0.280 <inline-formula><mml:math id="M67" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.020 at 532 nm, and 0.225 <inline-formula><mml:math id="M68" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.022 at 1064 nm (mean <inline-formula><mml:math id="M69" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> standard deviation). According to published simulation studies we conclude
that most of the coarse-mode dust particles have sizes around 2 <inline-formula><mml:math id="M70" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m in
diameter after 1 week of travel. By comparing the SALTRACE results to the
SAMUM-1 and SAMUM-2 results, again, only minor changes in the dust
depolarization characteristics were observed on the way from the Saharan dust
sources towards the Caribbean. Only the 1064 nm depolarization-ratio mean
value decreased significantly from Morocco towards the Caribbean.</p>
      <p>A long-term data set of the particle linear depolarization ratio of mineral
dust measured simultaneously at 355, 532, and 1064 nm is now available. In
addition, dense 355 and 532 nm lidar ratio data sets are available
<xref ref-type="bibr" rid="bib1.bibx42 bib1.bibx44 bib1.bibx99" id="paren.107"/>. Furthermore, airborne in situ
observations of the dust particle size distribution and chemical composition
in the SAL are available <xref ref-type="bibr" rid="bib1.bibx110" id="paren.108"/>. This is an excellent basis
for comprehensive simulation efforts to develop realistic dust shape models
and parametrization schemes which link the dust size distribution,
composition, and shape characteristics with the resulting optical and
radiative properties of mineral dust particles.</p>
      <p>The available coherent multiwavelength data sets on linear depolarization
ratios and lidar ratios (from the source region to remote areas of long-range
transport) support present and upcoming spaceborne lidar missions (CALIPSO
and EarthCARE missions) and the development of new space lidar mission
concepts (based on multiwavelength polarization or HSRL lidar missions). They
can further be used to harmonize existing and future depolarization data sets
collected at different lidar wavelengths. Furthermore, existing dust
retrieval schemes such as the technique presented in this SALTRACE special
issue by <xref ref-type="bibr" rid="bib1.bibx73" id="text.109"/> can be checked and improved based on the
available complex depolarization-ratio data sets.</p>
      <p>Together with the observations of the 355 and 532 nm depolarization ratios
with POLIS (EARLINET reference system), a high-quality data set on
depolarization ratios at 355, 532, and 1064 nm for Saharan dust after long-range transport is now available for the first time. Comparison with another
triple-wavelength depolarization-ratio data set indicates that the Barbados
data are very trustworthy. CALIOP depolarization ratios collected over the
SAMUM-1, SAMUM-2, and the SALTRACE field sites are in very good agreement
with the findings of the ground-based lidars. Altogether, a significant dust
aging effect, triggering a significant change of the dust depolarization ratio
from regions close to the source to areas more than 5000 km downwind, is not
visible in the observations. Discrepancies between the modeled and the
observed depolarization ratios are not surprising when keeping in
consideration that the shape characteristics of the irregularly shaped dust
particles are not well known, and a realistic shape model is not existing.</p>
      <p><?xmltex \hack{\newpage}?>As an outlook, we are presently testing to measure not only dust
depolarization ratios at three wavelengths but also the dust extinction
coefficient at these three wavelengths. First test observations were
promising <xref ref-type="bibr" rid="bib1.bibx47" id="paren.110"/>.</p>
</sec>

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

      <p>HYSPLIT backward trajectories are calculated via the
available simulation tools <xref ref-type="bibr" rid="bib1.bibx56" id="paren.111"/>. AERONET sun photometer AOT
data were downloaded from the AERONET web page <xref ref-type="bibr" rid="bib1.bibx1" id="paren.112"/>. SALTRACE
BERTHA lidar data are available at TROPOS. CALIOP signal profile data are
made available by the CALIPSO science team <xref ref-type="bibr" rid="bib1.bibx17" id="paren.113"/>. We used level 2 version 3.30 CALIPSO Aerosol profile data.</p>
  </notes><?xmltex \hack{\clearpage}?><app-group>

<app id="App1.Ch1.S1">
  <title>Polarization channels and their calibration in the lidar system BERTHA</title>
      <p>The Appendix A briefly explains the state-of-the-art concept of polarization
lidar according to <xref ref-type="bibr" rid="bib1.bibx32" id="text.114"/> and discusses some special
features of the BERTHA lidar system. In the second part, the BERTHA lidar
system will be characterized in detail and the systematic errors will be
estimated.</p>

<?xmltex \floatpos{t}?><table-wrap id="App1.Ch1.T1" specific-use="star"><caption><p>BERTHA parameters (values) used in the volume depolarization-ratio
retrieval and uncertainties. Each wavelength is treated separately:
rotational misalignment of the laser (<inline-formula><mml:math id="M71" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula>), the emitting optics
(<inline-formula><mml:math id="M72" display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula>), the receiving optics (<inline-formula><mml:math id="M73" display="inline"><mml:mi mathvariant="italic">γ</mml:mi></mml:math></inline-formula>), and the cross-polarized receiver
channel (<inline-formula><mml:math id="M74" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">ν</mml:mi><mml:mtext>R</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>); diattenuation and retardation of the emitter
optics (<inline-formula><mml:math id="M75" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>E</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M76" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:mtext>E</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) and the receiver optics
(<inline-formula><mml:math id="M77" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>0</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M78" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:mtext>0</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>); the
diattenuation of the total and cross-polarized receiver channel
(<inline-formula><mml:math id="M79" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>T</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M80" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>R</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>); the degree of
linear polarization of the beam expander (<inline-formula><mml:math id="M81" display="inline"><mml:mrow><mml:msub><mml:mi>a</mml:mi><mml:mtext>BE</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) and the
polarization parameter of the 90<inline-formula><mml:math id="M82" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> mirror in the telescope
(<inline-formula><mml:math id="M83" display="inline"><mml:mrow><mml:msub><mml:mi>a</mml:mi><mml:mtext>0</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>). Explanations for the parameters are given in the text. The
configuration is given for SALTRACE-3 (summer 2014).</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="7">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right" colsep="1"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right" colsep="1"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1">Property</oasis:entry>  
         <oasis:entry rowsep="1" namest="col2" nameend="col3" align="center" colsep="1">355 nm </oasis:entry>  
         <oasis:entry rowsep="1" namest="col4" nameend="col5" align="center" colsep="1">532 nm </oasis:entry>  
         <oasis:entry rowsep="1" namest="col6" nameend="col7" align="center">1064 nm </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">Value</oasis:entry>  
         <oasis:entry colname="col3">Uncertainty</oasis:entry>  
         <oasis:entry colname="col4">Value</oasis:entry>  
         <oasis:entry colname="col5">Uncertainty</oasis:entry>  
         <oasis:entry colname="col6">Value</oasis:entry>  
         <oasis:entry colname="col7">Uncertainty</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M84" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">0.9<inline-formula><mml:math id="M85" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M86" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.2<inline-formula><mml:math id="M87" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">1.1<inline-formula><mml:math id="M88" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M89" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.1<inline-formula><mml:math id="M90" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6">0.9<inline-formula><mml:math id="M91" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M92" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.2<inline-formula><mml:math id="M93" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M94" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>E</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">0.049</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M95" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.034</oasis:entry>  
         <oasis:entry colname="col4">0.046</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M96" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.028</oasis:entry>  
         <oasis:entry colname="col6">0.047</oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M97" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.037</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M98" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:mtext>E</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">0<inline-formula><mml:math id="M99" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M100" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>180<inline-formula><mml:math id="M101" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">0<inline-formula><mml:math id="M102" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M103" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>180<inline-formula><mml:math id="M104" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6">0<inline-formula><mml:math id="M105" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M106" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>180<inline-formula><mml:math id="M107" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M108" display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">0<inline-formula><mml:math id="M109" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M110" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>1<inline-formula><mml:math id="M111" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">0<inline-formula><mml:math id="M112" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M113" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>1<inline-formula><mml:math id="M114" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6">0<inline-formula><mml:math id="M115" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M116" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>1<inline-formula><mml:math id="M117" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M118" display="inline"><mml:mrow><mml:msub><mml:mi>a</mml:mi><mml:mtext>BE</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">0.97</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M119" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.02</oasis:entry>  
         <oasis:entry colname="col4">1.00</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M120" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.01</oasis:entry>  
         <oasis:entry colname="col6">1.00</oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M121" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.01</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M122" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">0.07</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M123" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.02</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M124" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.057</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M125" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.005</oasis:entry>  
         <oasis:entry colname="col6">0.040</oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M126" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.01</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M127" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">0<inline-formula><mml:math id="M128" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M129" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>180<inline-formula><mml:math id="M130" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">0<inline-formula><mml:math id="M131" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M132" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>180<inline-formula><mml:math id="M133" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6">0<inline-formula><mml:math id="M134" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M135" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>180<inline-formula><mml:math id="M136" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M137" display="inline"><mml:mi mathvariant="italic">γ</mml:mi></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">0<inline-formula><mml:math id="M138" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M139" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.2<inline-formula><mml:math id="M140" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">0<inline-formula><mml:math id="M141" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M142" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.2<inline-formula><mml:math id="M143" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6">0<inline-formula><mml:math id="M144" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M145" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.2<inline-formula><mml:math id="M146" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M147" display="inline"><mml:mrow><mml:msub><mml:mi>a</mml:mi><mml:mtext>0</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">1.00</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M148" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.01</oasis:entry>  
         <oasis:entry colname="col4">0.958</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M149" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.005</oasis:entry>  
         <oasis:entry colname="col6">1.00</oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M150" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.01</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M151" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>T</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">0.07</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M152" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.01</oasis:entry>  
         <oasis:entry colname="col4">0.088</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M153" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.01</oasis:entry>  
         <oasis:entry colname="col6">0.080</oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M154" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.01</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M155" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>R</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math id="M156" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.903</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M157" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.01</oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math id="M158" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.992</oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M159" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.01</oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math id="M160" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.980</oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M161" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.01</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"><inline-formula><mml:math id="M162" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">ν</mml:mi><mml:mtext>R</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2">0<inline-formula><mml:math id="M163" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M164" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.5<inline-formula><mml:math id="M165" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">0<inline-formula><mml:math id="M166" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math id="M167" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.5<inline-formula><mml:math id="M168" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6">0<inline-formula><mml:math id="M169" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col7"><inline-formula><mml:math id="M170" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.5<inline-formula><mml:math id="M171" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

<?xmltex \floatpos{t}?><table-wrap id="App1.Ch1.T2" specific-use="star"><caption><p>The results of the simulation of the lidar system for the volume
linear depolarization ratio. The simulation has been performed for the
theoretical Rayleigh background and a typical value for the dust layer for
each wavelength. The maximum and minimum value for each simulation and its
standard deviation is given.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="9">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right" colsep="1"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:colspec colnum="9" colname="col9" align="right"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1">Wavelength</oasis:entry>  
         <oasis:entry rowsep="1" namest="col2" nameend="col5" align="center" colsep="1">Rayleigh </oasis:entry>  
         <oasis:entry rowsep="1" namest="col6" nameend="col9" align="center">Dust layer </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">input</oasis:entry>  
         <oasis:entry colname="col3">min.</oasis:entry>  
         <oasis:entry colname="col4">max.</oasis:entry>  
         <oasis:entry colname="col5">SD</oasis:entry>  
         <oasis:entry colname="col6">input</oasis:entry>  
         <oasis:entry colname="col7">min.</oasis:entry>  
         <oasis:entry colname="col8">max.</oasis:entry>  
         <oasis:entry colname="col9">SD</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">355 nm</oasis:entry>  
         <oasis:entry colname="col2">0.0080</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M172" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.0130</oasis:entry>  
         <oasis:entry colname="col4">0.0440</oasis:entry>  
         <oasis:entry colname="col5">0.0100</oasis:entry>  
         <oasis:entry colname="col6">0.080</oasis:entry>  
         <oasis:entry colname="col7">0.056</oasis:entry>  
         <oasis:entry colname="col8">0.118</oasis:entry>  
         <oasis:entry colname="col9">0.010</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">532 nm</oasis:entry>  
         <oasis:entry colname="col2">0.0053</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M173" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.0020</oasis:entry>  
         <oasis:entry colname="col4">0.0260</oasis:entry>  
         <oasis:entry colname="col5">0.0049</oasis:entry>  
         <oasis:entry colname="col6">0.200</oasis:entry>  
         <oasis:entry colname="col7">0.188</oasis:entry>  
         <oasis:entry colname="col8">0.224</oasis:entry>  
         <oasis:entry colname="col9">0.006</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">1064 nm</oasis:entry>  
         <oasis:entry colname="col2">0.0036</oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math id="M174" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.0050</oasis:entry>  
         <oasis:entry colname="col4">0.0250</oasis:entry>  
         <oasis:entry colname="col5">0.0057</oasis:entry>  
         <oasis:entry colname="col6">0.230</oasis:entry>  
         <oasis:entry colname="col7">0.214</oasis:entry>  
         <oasis:entry colname="col8">0.257</oasis:entry>  
         <oasis:entry colname="col9">0.007</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

<sec id="App1.Ch1.S1.SS1">
  <title>Calculation of the depolarization ratio</title>
      <p>In a state-of-the-art approach, the components of the lidar system are
described by Mueller matrices using the Mueller–Stokes formalism
<xref ref-type="bibr" rid="bib1.bibx32" id="paren.115"/>:

                <disp-formula specific-use="align" content-type="numbered"><mml:math id="M175" display="block"><mml:mtable displaystyle="true"><mml:mtr><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:msub><mml:mi mathvariant="bold-italic">I</mml:mi><mml:mtext>S</mml:mtext></mml:msub><mml:mo>=</mml:mo></mml:mrow></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msub><mml:mi mathvariant="italic">η</mml:mi><mml:mtext>S</mml:mtext></mml:msub><mml:msub><mml:mi mathvariant="bold">M</mml:mi><mml:mtext>S</mml:mtext></mml:msub><mml:mfenced close=")" open="("><mml:msub><mml:mi>D</mml:mi><mml:mtext>S</mml:mtext></mml:msub><mml:mo>,</mml:mo><mml:msub><mml:mi mathvariant="italic">ν</mml:mi><mml:mtext>S</mml:mtext></mml:msub><mml:mo>,</mml:mo><mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:mtext>S</mml:mtext></mml:msub></mml:mfenced><mml:mi mathvariant="bold">C</mml:mi><mml:mo>(</mml:mo><mml:mi mathvariant="normal">Ψ</mml:mi><mml:mo>,</mml:mo><mml:mi mathvariant="italic">ϵ</mml:mi><mml:mo>)</mml:mo><mml:msub><mml:mi mathvariant="bold">M</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mfenced open="(" close=")"><mml:msub><mml:mi>D</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>,</mml:mo><mml:mi mathvariant="italic">γ</mml:mi><mml:mo>,</mml:mo><mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>,</mml:mo><mml:msub><mml:mi>a</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mfenced></mml:mrow></mml:mtd></mml:mtr><mml:mlabeledtr id="App1.Ch1.E1"><mml:mtd/><mml:mtd><mml:mstyle displaystyle="true" class="stylechange"/></mml:mtd><mml:mtd><mml:mrow><mml:mstyle class="stylechange" displaystyle="true"/><mml:mi mathvariant="bold">F</mml:mi><mml:mo>(</mml:mo><mml:mi>a</mml:mi><mml:mo>)</mml:mo><mml:msub><mml:mi mathvariant="bold">M</mml:mi><mml:mtext>E</mml:mtext></mml:msub><mml:mfenced close=")" open="("><mml:msub><mml:mi>D</mml:mi><mml:mtext>E</mml:mtext></mml:msub><mml:mo>,</mml:mo><mml:mi mathvariant="italic">β</mml:mi><mml:mo>,</mml:mo><mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:mtext>E</mml:mtext></mml:msub><mml:mo>,</mml:mo><mml:msub><mml:mi>a</mml:mi><mml:mtext>BE</mml:mtext></mml:msub></mml:mfenced><mml:msub><mml:mi mathvariant="bold-italic">I</mml:mi><mml:mtext>L</mml:mtext></mml:msub><mml:mo>(</mml:mo><mml:mi mathvariant="italic">α</mml:mi><mml:mo>)</mml:mo><mml:mo>.</mml:mo></mml:mrow></mml:mtd></mml:mlabeledtr></mml:mtable></mml:math></disp-formula>

            The different quantities have to be known, or at least good estimates and their
uncertainties are needed. They will be described in the following text and
determined for each wavelength separately in the next section. An overview is
given in Table <xref ref-type="table" rid="App1.Ch1.T1"/>.</p>
      <p>All the rotational misalignment around the optical axis (rotational
misalignment in the following) is expressed with respect to the plane of polarization of the polarization filter in front
of the PMT, belonging to the cross-polarized channel of the corresponding
wavelength. The emitted laser light <inline-formula><mml:math id="M176" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="bold-italic">I</mml:mi><mml:mtext>L</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> has a rotational
misalignment <inline-formula><mml:math id="M177" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula>.</p>
      <p>The emitting optics <inline-formula><mml:math id="M178" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="bold">M</mml:mi><mml:mtext>E</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> (beam expander and steering
mirrors) have a diattenuation parameter (called diattenuation in the following) <inline-formula><mml:math id="M179" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>E</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, a
retardation <inline-formula><mml:math id="M180" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:mtext>E</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, and a misalignment <inline-formula><mml:math id="M181" display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula>. Furthermore the
beam expander may cause depolarization due to inhomogeneities over its
surface and birefringence of the calcium fluoride lens. The degree of linear
polarization after the beam expander is given by <inline-formula><mml:math id="M182" display="inline"><mml:mrow><mml:msub><mml:mi>a</mml:mi><mml:mtext>BE</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>.</p>
      <p><inline-formula><mml:math id="M183" display="inline"><mml:mi mathvariant="bold">F</mml:mi></mml:math></inline-formula> represents the scattering process in the atmosphere with an
atmospheric polarization parameter <inline-formula><mml:math id="M184" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> corresponding to the atmospheric
volume linear depolarization ratio <inline-formula><mml:math id="M185" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">δ</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>:
            <disp-formula id="App1.Ch1.E2" content-type="numbered"><mml:math id="M186" display="block"><mml:mrow><mml:mi>a</mml:mi><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>-</mml:mo><mml:msub><mml:mi mathvariant="italic">δ</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>+</mml:mo><mml:msub><mml:mi mathvariant="italic">δ</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          which is the unknown quantity that will be derived by polarization lidar measurements.</p>
      <p>The receiving optics <inline-formula><mml:math id="M187" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="bold">M</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> (in the case of
BERTHA only the telescope and a 90<inline-formula><mml:math id="M188" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> mirror) are characterized by the
diattenuation <inline-formula><mml:math id="M189" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, the retardation <inline-formula><mml:math id="M190" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, and the misalignment
<inline-formula><mml:math id="M191" display="inline"><mml:mi mathvariant="italic">γ</mml:mi></mml:math></inline-formula>.</p>
      <p>A linear polarizer is used for the calibration <inline-formula><mml:math id="M192" display="inline"><mml:mi mathvariant="bold">C</mml:mi></mml:math></inline-formula>, the position
<inline-formula><mml:math id="M193" display="inline"><mml:mi mathvariant="normal">Ψ</mml:mi></mml:math></inline-formula> is <inline-formula><mml:math id="M194" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>45 or <inline-formula><mml:math id="M195" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>45<inline-formula><mml:math id="M196" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>, and <inline-formula><mml:math id="M197" display="inline"><mml:mi mathvariant="italic">ϵ</mml:mi></mml:math></inline-formula> is the deviation of this
ideal position, but does not affect the exact 90<inline-formula><mml:math id="M198" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> angle between the
two calibration positions (<inline-formula><mml:math id="M199" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>45<inline-formula><mml:math id="M200" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>). The exact difference is reached
by a highly accurate (10<inline-formula><mml:math id="M201" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula><inline-formula><mml:math id="M202" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>) step motor (8SMC1 from Standa Ltd.,
Lithuania). The calibrator is only used during the calibration measurements.
For the regular measurements, it is taken out of the beam, and therefore a
possible misalignment is not affecting the measurements.</p>
      <p>The detection units for the total channel (index S <inline-formula><mml:math id="M203" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> T) and for the
cross-polarized channel (index S <inline-formula><mml:math id="M204" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> R), <inline-formula><mml:math id="M205" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="bold">M</mml:mi><mml:mtext>T</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math id="M206" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="bold">M</mml:mi><mml:mtext>R</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, include a diattenuation, which would be ideally
<inline-formula><mml:math id="M207" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>T</mml:mtext></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0</mml:mn></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M208" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>R</mml:mtext></mml:msub><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>. In addition to
<xref ref-type="bibr" rid="bib1.bibx32" id="text.116"/> a rotational misalignment <inline-formula><mml:math id="M209" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">ν</mml:mi><mml:mtext>S</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> and a
retardation <inline-formula><mml:math id="M210" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:mtext>S</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> have to be included in the formulas for the
BERTHA lidar system. The calibrator is located behind the telescope and
before the beam separation unit (see Fig. <xref ref-type="fig" rid="Ch1.F1"/>). The retardation
<inline-formula><mml:math id="M211" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:mtext>S</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> has no effect on the measured intensity and needs no
further consideration. For the total channel there is no rotational
misalignment; only <inline-formula><mml:math id="M212" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">ν</mml:mi><mml:mtext>R</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> for the
cross-polarized channel has to be taken into account. The gain
ratios of the PMTs and their neutral density filters are
represented by <inline-formula><mml:math id="M213" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">η</mml:mi><mml:mtext>T</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M214" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">η</mml:mi><mml:mtext>R</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, respectively. A
calibration measurement for every change in the neutral density filters was
performed.</p>
      <p><xref ref-type="bibr" rid="bib1.bibx32" id="text.117"/> presents a solution to the matrix equation
(Eq. <xref ref-type="disp-formula" rid="App1.Ch1.E1"/>), introducing the parameters <inline-formula><mml:math id="M215" display="inline"><mml:mrow><mml:msub><mml:mi>G</mml:mi><mml:mtext>S</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math id="M216" display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mtext>S</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> as system constants. They are a simplification in the notation
of the solution and depend on all previously mentioned system parameters
(Table <xref ref-type="table" rid="App1.Ch1.T1"/>). The remaining unknown is the atmospheric
polarization parameter <inline-formula><mml:math id="M217" display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula>. The intensity (first component of the Stokes
vector <inline-formula><mml:math id="M218" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="bold-italic">I</mml:mi><mml:mtext>S</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) is given by the following:
            <disp-formula id="App1.Ch1.E3" content-type="numbered"><mml:math id="M219" display="block"><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mtext>S</mml:mtext></mml:msub><mml:mo>=</mml:mo><mml:msub><mml:mi mathvariant="italic">η</mml:mi><mml:mtext>S</mml:mtext></mml:msub><mml:msub><mml:mi>T</mml:mi><mml:mtext>S</mml:mtext></mml:msub><mml:msub><mml:mi>T</mml:mi><mml:mtext>0</mml:mtext></mml:msub><mml:msub><mml:mi>F</mml:mi><mml:mtext>11</mml:mtext></mml:msub><mml:msub><mml:mi>T</mml:mi><mml:mtext>E</mml:mtext></mml:msub><mml:msub><mml:mi>I</mml:mi><mml:mtext>L</mml:mtext></mml:msub><mml:mfenced open="(" close=")"><mml:msub><mml:mi>G</mml:mi><mml:mtext>S</mml:mtext></mml:msub><mml:mo>+</mml:mo><mml:mi>a</mml:mi><mml:msub><mml:mi>H</mml:mi><mml:mtext>S</mml:mtext></mml:msub></mml:mfenced><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          with the laser intensity <inline-formula><mml:math id="M220" display="inline"><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mtext>L</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, the transmittance of the emitting
optics <inline-formula><mml:math id="M221" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mtext>E</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> of the receiving optics <inline-formula><mml:math id="M222" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mtext>0</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> of the detection
unit <inline-formula><mml:math id="M223" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mtext>S</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, the backscatter coefficient <inline-formula><mml:math id="M224" display="inline"><mml:mrow><mml:msub><mml:mi>F</mml:mi><mml:mtext>11</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, and the
gain of the detector <inline-formula><mml:math id="M225" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">η</mml:mi><mml:mtext>S</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>. Taking the ratio of two signals
(cross, index S <inline-formula><mml:math id="M226" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> R, and total, index S <inline-formula><mml:math id="M227" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> T), only <inline-formula><mml:math id="M228" display="inline"><mml:mrow><mml:msub><mml:mi>T</mml:mi><mml:mtext>S</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math id="M229" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">η</mml:mi><mml:mtext>S</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> are remaining. The volume linear depolarization ratio
<inline-formula><mml:math id="M230" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">δ</mml:mi><mml:mtext>v</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> can be determined as follows.
            <disp-formula id="App1.Ch1.E4" content-type="numbered"><mml:math id="M231" display="block"><mml:mrow><mml:msub><mml:mi mathvariant="italic">δ</mml:mi><mml:mtext>v</mml:mtext></mml:msub><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mo>∗</mml:mo></mml:msup><mml:mfenced close=")" open="("><mml:msub><mml:mi>G</mml:mi><mml:mtext>T</mml:mtext></mml:msub><mml:mo>+</mml:mo><mml:msub><mml:mi>H</mml:mi><mml:mtext>T</mml:mtext></mml:msub></mml:mfenced><mml:mo>-</mml:mo><mml:mfenced close=")" open="("><mml:msub><mml:mi>G</mml:mi><mml:mtext>R</mml:mtext></mml:msub><mml:mo>+</mml:mo><mml:msub><mml:mi>H</mml:mi><mml:mtext>R</mml:mtext></mml:msub></mml:mfenced></mml:mrow><mml:mrow><mml:mfenced close=")" open="("><mml:msub><mml:mi>G</mml:mi><mml:mtext>R</mml:mtext></mml:msub><mml:mo>-</mml:mo><mml:msub><mml:mi>H</mml:mi><mml:mtext>R</mml:mtext></mml:msub></mml:mfenced><mml:mo>-</mml:mo><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mo>∗</mml:mo></mml:msup><mml:mfenced open="(" close=")"><mml:msub><mml:mi>G</mml:mi><mml:mtext>T</mml:mtext></mml:msub><mml:mo>-</mml:mo><mml:msub><mml:mi>H</mml:mi><mml:mtext>T</mml:mtext></mml:msub></mml:mfenced></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          with the calibrated signal ratio <inline-formula><mml:math id="M232" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mo>∗</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>:
            <disp-formula id="App1.Ch1.E5" content-type="numbered"><mml:math id="M233" display="block"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mo>∗</mml:mo></mml:msup><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mn mathvariant="normal">1</mml:mn><mml:mi mathvariant="italic">η</mml:mi></mml:mfrac></mml:mstyle><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mtext>R</mml:mtext></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mi>I</mml:mi><mml:mtext>T</mml:mtext></mml:msub></mml:mrow></mml:mfrac></mml:mstyle><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
          with calibration factor <inline-formula><mml:math id="M234" display="inline"><mml:mi mathvariant="italic">η</mml:mi></mml:math></inline-formula>, determined by the <inline-formula><mml:math id="M235" display="inline"><mml:mi mathvariant="normal">Δ</mml:mi></mml:math></inline-formula>90<inline-formula><mml:math id="M236" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>-calibration
<xref ref-type="bibr" rid="bib1.bibx33" id="paren.118"/>. The measured calibration factor <inline-formula><mml:math id="M237" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">η</mml:mi><mml:mo>∗</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> has to be
corrected for any of the above-mentioned rotational misalignment. The
correction constant <inline-formula><mml:math id="M238" display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> is used to obtain the calibration factor <inline-formula><mml:math id="M239" display="inline"><mml:mi mathvariant="italic">η</mml:mi></mml:math></inline-formula>
<xref ref-type="bibr" rid="bib1.bibx32" id="paren.119"/>:
            <disp-formula id="App1.Ch1.E6" content-type="numbered"><mml:math id="M240" display="block"><mml:mrow><mml:mi mathvariant="italic">η</mml:mi><mml:mo>=</mml:mo><mml:mstyle displaystyle="true"><mml:mfrac style="display"><mml:mrow><mml:msup><mml:mi mathvariant="italic">η</mml:mi><mml:mo>∗</mml:mo></mml:msup></mml:mrow><mml:mi>K</mml:mi></mml:mfrac></mml:mstyle></mml:mrow></mml:math></disp-formula>
          The five parameters <inline-formula><mml:math id="M241" display="inline"><mml:mrow><mml:msub><mml:mi>G</mml:mi><mml:mtext>T</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M242" display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mtext>T</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M243" display="inline"><mml:mrow><mml:msub><mml:mi>G</mml:mi><mml:mtext>R</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>,
<inline-formula><mml:math id="M244" display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mtext>R</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, and <inline-formula><mml:math id="M245" display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> (system constants) are calculated from the system
characteristics (Table <xref ref-type="table" rid="App1.Ch1.T1"/>) for each wavelength.</p><?xmltex \hack{\newpage}?>
</sec>
<sec id="App1.Ch1.S1.SS2">
  <title>System characterization</title>
      <p>The results of the system characterization are shown in
Table <xref ref-type="table" rid="App1.Ch1.T1"/>. Similar characterizations of different
EARLINET lidars have been reported by <xref ref-type="bibr" rid="bib1.bibx14" id="text.120"/>. The results
are shown for the conditions during SALTRACE-3 as it was characterized when
the system was back in Leipzig. Some characterization and optimization
efforts have already been done at the field site in Barbados. Being exposed
for 1 year to tropical conditions (high temperature and humidity) and the transport from Barbados to Leipzig might have an influence on the system characteristics, which is hard to quantify.</p>
      <p>The degree of linear polarization of the laser is high (<inline-formula><mml:math id="M246" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 95 %
according to the manufacturer's specification) and it is additionally cleaned
by a Glan-Taylor polarizer, whose
misalignment with respect to the optical table is characterized by the angle
<inline-formula><mml:math id="M247" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula> and measured with the help of an additional polarization filter with
the uncertainty of 0.2<inline-formula><mml:math id="M248" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>.</p>

      <?xmltex \floatpos{t}?><fig id="App1.Ch1.F1" specific-use="star"><caption><p>Frequency distribution (in millions of individual computations) of
the volume depolarization ratio derived by a Monte Carlo simulation of the
system parameters of the BERTHA lidar system (Table <xref ref-type="table" rid="App1.Ch1.T1"/>)
within their uncertainties. For each wavelength the Rayleigh depolarization
and a typical value in the dust layer was chosen as the input value (true
value), given in Table <xref ref-type="table" rid="App1.Ch1.T2"/>. The standard deviation <inline-formula><mml:math id="M249" display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula> of
the Gaussian fit (black line) is given to estimate the error of the volume
depolarization ratio.</p></caption>
          <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/17/10767/2017/acp-17-10767-2017-f16.pdf"/>

        </fig>

      <p>The beam expander is the major source of uncertainty in the emitter optics,
as it has to deal with the three wavelengths simultaneously and the high
power of the laser. The CaFl lens used appears to be birefringent. In order
to check this issue, the beam expander was tested in the EARLINET lidar
calibration center in Bucharest (<uri>http://www.lical.inoe.ro</uri>). The Mueller matrix
elements have been measured with transmission ellipsometry at 25 points over
the surface of the beam expander. Inhomogeneities of the Mueller matrix
elements in the external regions of the beam expander have been found,
especially in the UV. As a first approximation a degree of linear
polarization of 0.97 <inline-formula><mml:math id="M250" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.02 in the UV after the beam expander is assumed.
In the visible and near infrared the degree of linear polarization is almost
ideal (0.99 to 1.00). The influence of the other components (mainly steering
mirrors) on the emitter optics is neglected so far, although the
diattenuation of the emitter optics is mainly induced by these steering
mirrors. From the transmission ellipsometry of the beam expander a
diattenuation (<inline-formula><mml:math id="M251" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>E</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) smaller than 0.05 is derived. Not all elements
of the Mueller matrix of the beam expander could be measured. Therefore the
retardation <inline-formula><mml:math id="M252" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:mtext>E</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> of the emitter optics is not known, and the
maximum uncertainty of <inline-formula><mml:math id="M253" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>180<inline-formula><mml:math id="M254" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> is assumed. The same assumption has been
made for other EARLINET lidars by <?xmltex \hack{\mbox\bgroup}?><xref ref-type="bibr" rid="bib1.bibx14" id="text.121"/><?xmltex \hack{\egroup}?>. An appropriate
assumption for the rotational misalignment <inline-formula><mml:math id="M255" display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula> is 0<inline-formula><mml:math id="M256" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M257" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.0<inline-formula><mml:math id="M258" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>.</p>
      <p>The receiver diattenuation (<inline-formula><mml:math id="M259" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M260" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>T</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M261" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>R</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) was
characterized using an additional light source with a known state of
polarization (0 to 360<inline-formula><mml:math id="M262" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> in steps of 1<inline-formula><mml:math id="M263" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>) similar to <xref ref-type="bibr" rid="bib1.bibx76" id="text.122"/>. A
second calibration measurement was performed with the internal linear
polarizer after the telescope to separate the influence of <inline-formula><mml:math id="M264" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> from
<inline-formula><mml:math id="M265" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>T</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M266" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>R</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>. The two calibrations indicated a
depolarization of the 90<inline-formula><mml:math id="M267" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> mirror after the secondary mirror (see Fig. <xref ref-type="fig" rid="Ch1.F1"/>). The polarization parameter <inline-formula><mml:math id="M268" display="inline"><mml:mrow><mml:msub><mml:mi>a</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> of this mirror has a
significant influence at 532 nm only (<inline-formula><mml:math id="M269" display="inline"><mml:mrow><mml:msub><mml:mi>a</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.958</mml:mn></mml:mrow></mml:math></inline-formula>). For the UV (<inline-formula><mml:math id="M270" display="inline"><mml:mrow><mml:msub><mml:mi>a</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">0.994</mml:mn></mml:mrow></mml:math></inline-formula>)
and the near infrared (<inline-formula><mml:math id="M271" display="inline"><mml:mrow><mml:msub><mml:mi>a</mml:mi><mml:mn mathvariant="normal">0</mml:mn></mml:msub><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">0.994</mml:mn></mml:mrow></mml:math></inline-formula>) it can be attributed to uncertainties in
the measurement (<inline-formula><mml:math id="M272" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>0.005) and its influence is thus neglected, but
considered in the error estimation. The rotational misalignment <inline-formula><mml:math id="M273" display="inline"><mml:mi mathvariant="italic">γ</mml:mi></mml:math></inline-formula> of
the receiving optics is assumed to be 0<inline-formula><mml:math id="M274" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M275" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2<inline-formula><mml:math id="M276" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>. It is a fixed,
well-aligned system. The retardation of the receiver could not be measured,
which lead to the maximum uncertainty of <inline-formula><mml:math id="M277" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>180<inline-formula><mml:math id="M278" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>. The rotational
misalignment (<inline-formula><mml:math id="M279" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">ν</mml:mi><mml:mtext>R</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) in the cross-polarized channel after the
calibrator is assumed to be 0<inline-formula><mml:math id="M280" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M281" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.5<inline-formula><mml:math id="M282" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>.</p>
      <p>The deviation of the ideal calibration position <inline-formula><mml:math id="M283" display="inline"><mml:mi mathvariant="italic">ϵ</mml:mi></mml:math></inline-formula> can be estimated
according to <xref ref-type="bibr" rid="bib1.bibx32" id="text.123"/> and is only present during calibration
measurements, while at the normal measurements the linear polarizer is taken
out of the optical path. It varies between <inline-formula><mml:math id="M284" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>3.1 and 1.8<inline-formula><mml:math id="M285" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> at
355 nm, <inline-formula><mml:math id="M286" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>2.4 and 1.5<inline-formula><mml:math id="M287" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> at 532 nm, and <inline-formula><mml:math id="M288" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>1.1 and 2.4<inline-formula><mml:math id="M289" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> at
1064 nm. The parameter <inline-formula><mml:math id="M290" display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> corrects the calibration constant for the
misalignment <inline-formula><mml:math id="M291" display="inline"><mml:mi mathvariant="italic">ϵ</mml:mi></mml:math></inline-formula>. For each calibration the parameter K was calculated
using the estimated <inline-formula><mml:math id="M292" display="inline"><mml:mi mathvariant="italic">ϵ</mml:mi></mml:math></inline-formula>. The corrections are small as
<inline-formula><mml:math id="M293" display="inline"><mml:mrow><mml:mfenced open="|" close="|"><mml:mi mathvariant="italic">ϵ</mml:mi></mml:mfenced><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M294" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>.</p>
      <p><inline-formula><mml:math id="M295" display="inline"><mml:mi>K</mml:mi></mml:math></inline-formula> is mainly influenced by the contrast ratio (<inline-formula><mml:math id="M296" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 1 <inline-formula><mml:math id="M297" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> extinction ratio) of the
linear polarizer used for the calibration. The manufacturer CODIXX specifies
the contrast ratios to be 1 : 10 000 (at 355 nm), 1 : 60 000 (at 532 nm), and
1 : 90 000 (at 1064 nm).</p>
      <p>The 12 parameters listed in Table <xref ref-type="table" rid="App1.Ch1.T1"/> introduce an
uncertainty of the volume linear depolarization ratio. It is too complex to
perform classical error propagation. Therefore a Monte Carlo simulation is
used, as proposed by <xref ref-type="bibr" rid="bib1.bibx14" id="text.124"/>. This is actually a complete
search over the multidimensional uncertainty space; there the 12 parameters
are varied within their error margins. Uniform distributions are used as
input. The rotational misalignment (<inline-formula><mml:math id="M298" display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M299" display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M300" display="inline"><mml:mi mathvariant="italic">γ</mml:mi></mml:math></inline-formula>,
<inline-formula><mml:math id="M301" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">ν</mml:mi><mml:mtext>R</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) has been simulated with three input values, <inline-formula><mml:math id="M302" display="inline"><mml:mrow><mml:msub><mml:mi>x</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>-</mml:mo><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>x</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M303" display="inline"><mml:mrow><mml:msub><mml:mi>x</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, and <inline-formula><mml:math id="M304" display="inline"><mml:mrow><mml:msub><mml:mi>x</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>+</mml:mo><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>x</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>. The diattenuation (<inline-formula><mml:math id="M305" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>E</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>,
<inline-formula><mml:math id="M306" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>0</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M307" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>T</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M308" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mtext>R</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) has been simulated with five
input values, <inline-formula><mml:math id="M309" display="inline"><mml:mrow><mml:msub><mml:mi>x</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>-</mml:mo><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>x</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M310" display="inline"><mml:mrow><mml:msub><mml:mi>x</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>x</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M311" display="inline"><mml:mrow><mml:msub><mml:mi>x</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M312" display="inline"><mml:mrow><mml:msub><mml:mi>x</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>+</mml:mo><mml:mn mathvariant="normal">0.5</mml:mn><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>x</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, and <inline-formula><mml:math id="M313" display="inline"><mml:mrow><mml:msub><mml:mi>x</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>+</mml:mo><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>x</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, as it is a are more sensitive parameter
<xref ref-type="bibr" rid="bib1.bibx14" id="paren.125"/>. The unknown retardation (<inline-formula><mml:math id="M314" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:mtext>E</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math id="M315" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="normal">Δ</mml:mi><mml:mtext>0</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>) is simulated using five values as well: <inline-formula><mml:math id="M316" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>180, <inline-formula><mml:math id="M317" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>90,
0, 90, and 180<inline-formula><mml:math id="M318" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>. The polarization parameter of the 90<inline-formula><mml:math id="M319" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> mirror
in the telescope <inline-formula><mml:math id="M320" display="inline"><mml:mrow><mml:msub><mml:mi>a</mml:mi><mml:mtext>0</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> has been simulated with three values. For 355
and 1064 nm, 1.000, 0.995, and 0.990 were used. The degree of linear polarization after the beam
expander <inline-formula><mml:math id="M321" display="inline"><mml:mrow><mml:msub><mml:mi>a</mml:mi><mml:mtext>BE</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> has been simulated with three values for 532 and
1064 nm (1.000, 0.995, and 0.990) and five values for 355 nm (between 0.95
and 0.99 in steps of 0.01). The variation of <inline-formula><mml:math id="M322" display="inline"><mml:mi mathvariant="italic">ϵ</mml:mi></mml:math></inline-formula>, which does not
influence the calculation of <inline-formula><mml:math id="M323" display="inline"><mml:mrow><mml:msub><mml:mi>G</mml:mi><mml:mtext>S</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M324" display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mtext>S</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, has not been
taken into account to reduce the number of variables by a factor of 3. In the
Monte Carlo simulation over 11 million combinations are used for 532 and
1064 nm. For 355 nm over 18 million combinations are used as input. The
original code, based on <xref ref-type="bibr" rid="bib1.bibx32" id="text.126"/>, without our modifications
as mentioned above, can be found at <uri>https://bitbucket.org/iannis_b/</uri>
(last accessed February 2017).</p>
      <p><?xmltex \hack{\newpage}?>The simulation has been performed for the theoretical Rayleigh values
(0.0080, 0.0053, 0.0036) and typical values within the dust layer (0.08,
0.20, 0.23) for 355, 532, and 1064 nm, respectively. For an input value
(true value) the program simulates the calibrated signal ratio
<inline-formula><mml:math id="M325" display="inline"><mml:mrow><mml:msup><mml:mi mathvariant="italic">δ</mml:mi><mml:mo>∗</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula>,
varying all lidar parameters within their error margins as described above.
Then it calculates the volume depolarization ratio <inline-formula><mml:math id="M326" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">δ</mml:mi><mml:mi mathvariant="normal">v</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> according to
Eq. (<xref ref-type="disp-formula" rid="App1.Ch1.E4"/>). The frequency distributions of the solutions are
shown in Fig. <xref ref-type="fig" rid="App1.Ch1.F1"/>. The minimum and maximum values, as
well as the standard deviation from the corresponding Gaussian distribution,
are summarized in Table <xref ref-type="table" rid="App1.Ch1.T2"/>.</p>
      <p>The standard deviation is the measure for the systematic error of the volume
linear depolarization. It is slightly higher in the dust layer than in the
aerosol-free Rayleigh background.</p>
      <p>The systematic error for the particle linear depolarization ratio mainly
includes the uncertainties of the volume depolarization ratio
(Table <xref ref-type="table" rid="App1.Ch1.T2"/>) and the backscatter ratio (molecular backscatter
coefficient divided by particle backscatter coefficient). For the particle
backscatter coefficient, uncertainties of 5, 10, and 15 % for 355, 532,
and 1064 nm, respectively, are assumed. Less Rayleigh signal towards higher
wavelengths increases the uncertainty in the reference value for the
calculation of the particle backscatter coefficient. The uncertainty of the
molecular backscatter coefficient is <inline-formula><mml:math id="M327" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 1 % because it is calculated
from the temperature and pressure profiles of the radiosondes which were
launched twice a day at the time of the measurements. The molecular
depolarization is calculated from the transmission
curves of the interference filters and depends on temperature
<xref ref-type="bibr" rid="bib1.bibx11" id="paren.127"/>. An error of 10 % is assumed.</p><?xmltex \hack{\clearpage}?>
</sec>
</app>
  </app-group><notes notes-type="competinginterests">

      <p>The authors declare that they have no conflict of
interest.</p>
  </notes><notes notes-type="sistatement">

      <p>This article is part of the special issue “The Saharan Aerosol
Long-range Transport and Aerosol-Cloud-interaction Experiment (SALTRACE)
(ACP/AMT inter-journal SI)”. It does not belong to a conference.</p>
  </notes><ack><title>Acknowledgements</title><p>The perfect logistic support of CIMH during the SALTRACE preparation phase
and intensive field phases in 2013 and 2014 is gratefully acknowledged. We
are grateful to the AERONET team for performing high-quality SALTRACE sun
photometer calibrations and for providing high-quality data products. We
would like to express our gratitude to the CALIPSO science team for the
careful CALIOP profile data analysis. We thank the HYSPLIT team for the
possibility to compute backward trajectories. We are grateful to Laurentiu
Baschir and the Lidar Calibration Center (Lical), Bucharest, Romania, for
good service regarding the characterization of lidar optical elements.
This activity is support by ACTRIS Research Infrastructure (EU H2020-R&amp;I)
under grant agreement no. 654169. The authors want to thank the two anonymous
referees for all their time and effort that they put in carefully reading the
manuscript. Their relevant comments helped to improve the quality of this
publication.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: Cyrille Flamant<?xmltex \hack{\newline}?>
Reviewed by: two anonymous referees</p></ack><ref-list>
    <title>References</title>

      <ref id="bib1.bibx1"><label>AERONET(2016)</label><mixed-citation>AERONET: Aerosol Robotic Network aerosol data base, available at:
<uri>https://aeronet.gsfc.nasa.gov/</uri>, last access: 20 December 2016.</mixed-citation></ref>
      <ref id="bib1.bibx2"><label>Althausen et al.(2000)Althausen, Müller, Ansmann, Wandinger, Hube,
Clauder, and Zörner</label><mixed-citation>Althausen, D., Müller, D., Ansmann, A., Wandinger, U., Hube, H., Clauder,
E., and Zörner, S.: Scanning 6-Wavelength 11-Channel Aerosol Lidar, J.
Atmos. Ocean. Tech., 17, 1469–1482,
<ext-link xlink:href="https://doi.org/10.1175/1520-0426(2000)017&lt;1469:SWCAL&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0426(2000)017&lt;1469:SWCAL&gt;2.0.CO;2</ext-link>, 2000.</mixed-citation></ref>
      <ref id="bib1.bibx3"><label>Amiridis et al.(2013)Amiridis, Wandinger, Marinou, Giannakaki,
Tsekeri, Basart, Kazadzis, Gkikas, Taylor, Baldasano, and
Ansmann</label><mixed-citation>Amiridis, V., Wandinger, U., Marinou, E., Giannakaki, E., Tsekeri, A.,
Basart, S., Kazadzis, S., Gkikas, A., Taylor, M., Baldasano, J., and Ansmann,
A.: Optimizing CALIPSO Saharan dust retrievals, Atmos. Chem. Phys., 13,
12089–12106, <ext-link xlink:href="https://doi.org/10.5194/acp-13-12089-2013" ext-link-type="DOI">10.5194/acp-13-12089-2013</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx4"><label>Ansmann et al.(1992)Ansmann, Wandinger, Riebesell, Weitkamp, and
Michaelis</label><mixed-citation>Ansmann, A., Wandinger, U., Riebesell, M., Weitkamp, C., and Michaelis, W.:
Independent measurement of extinction and backscatter profiles in cirrus
clouds by using a combined Raman elastic-backscatter lidar, Appl. Optics, 31,
7113–7131, <ext-link xlink:href="https://doi.org/10.1364/AO.31.007113" ext-link-type="DOI">10.1364/AO.31.007113</ext-link>, 1992.</mixed-citation></ref>
      <ref id="bib1.bibx5"><label>Ansmann et al.(2002)Ansmann, Wagner, Müller, Althausen, Herber, von
Hoyningen-Huene, and Wandinger</label><mixed-citation>Ansmann, A., Wagner, F., Müller, D., Althausen, D., Herber, A., von
Hoyningen-Huene, W., and Wandinger, U.: European pollution outbreaks during
ACE 2: Optical particle properties inferred from multiwavelength lidar and
star-Sun photometry, J. Geophys. Res.-Atmos., 107, AAC
8–1–AAC 8–14, <ext-link xlink:href="https://doi.org/10.1029/2001JD001109" ext-link-type="DOI">10.1029/2001JD001109</ext-link>, 2002.</mixed-citation></ref>
      <ref id="bib1.bibx6"><label>Ansmann et al.(2003)Ansmann, Bösenberg, Chaikovsky, Comerón,
Eckhardt, Eixmann, Freudenthaler, Ginoux, Komguem, Linné, Márquez,
Matthias, Mattis, Mitev, Müller, Music, Nickovic, Pelon, Sauvage,
Sobolewsky, Srivastava, Stohl, Torres, Vaughan, Wandinger, and
Wiegner</label><mixed-citation>Ansmann, A., Bösenberg, J., Chaikovsky, A., Comerón, A., Eckhardt, S.,
Eixmann, R., Freudenthaler, V., Ginoux, P., Komguem, L., Linné, H.,
Márquez, M. A. L., Matthias, V., Mattis, I., Mitev, V., Müller, D.,
Music, S., Nickovic, S., Pelon, J., Sauvage, L., Sobolewsky, P., Srivastava,
M. K., Stohl, A., Torres, O., Vaughan, G., Wandinger, U., and Wiegner, M.:
Long-range transport of Saharan dust to northern Europe: The 11–16 October
2001 outbreak observed with EARLINET, J. Geophys. Res.-Atmos., 108, 4783, <ext-link xlink:href="https://doi.org/10.1029/2003JD003757" ext-link-type="DOI">10.1029/2003JD003757</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bibx7"><label>Ansmann et al.(2009)Ansmann, Tesche, Knippertz, Bierwirth, Althausen,
Müller, and Schulz</label><mixed-citation>Ansmann, A., Tesche, M., Knippertz, P., Bierwirth, E., Althausen, D., Müller,
D., and Schulz, O.: Vertical profiling of convective dust plumes in southern
Morocco during SAMUM, Tellus B, 61, 340–353,
<ext-link xlink:href="https://doi.org/10.1111/j.1600-0889.2008.00384.x" ext-link-type="DOI">10.1111/j.1600-0889.2008.00384.x</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bibx8"><label>Ansmann et al.(2011)Ansmann, Petzold, Kandler, Tegen, Wendisch,
Müller, Weinzierl, Müller, and Heintzenberg</label><mixed-citation>Ansmann, A., Petzold, A., Kandler, K., Tegen, I., Wendisch, M., Müller, D.,
Weinzierl, B., Müller, T., and Heintzenberg, J.: Saharan Mineral Dust
Experiments SAMUM-1 and SAMUM-2: what have we learned?, Tellus B, 63,
403–429, <ext-link xlink:href="https://doi.org/10.1111/j.1600-0889.2011.00555.x" ext-link-type="DOI">10.1111/j.1600-0889.2011.00555.x</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx9"><label>Ansmann et al.(2017)Ansmann, Rittmeister, Engelmann, Basart,
Benedetti, Spyrou, Skupin, Baars, Seifert, Senf, and Kanitz</label><mixed-citation>Ansmann, A., Rittmeister, F., Engelmann, R., Basart, S., Benedetti, A.,
Spyrou, C., Skupin, A., Baars, H., Seifert, P., Senf, F., and Kanitz, T.:
Profiling of Saharan dust from the Caribbean to West Africa, Part 2:
Shipborne lidar measurements versus forecasts, Atmos. Chem. Phys. Discuss.,
<ext-link xlink:href="https://doi.org/10.5194/acp-2017-502" ext-link-type="DOI">10.5194/acp-2017-502</ext-link>, in review, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx10"><label>Baars et al.(2011)Baars, Ansmann, Althausen, Engelmann, Artaxo,
Pauliquevis, and Souza</label><mixed-citation>Baars, H., Ansmann, A., Althausen, D., Engelmann, R., Artaxo, P., Pauliquevis,
T., and Souza, R.: Further evidence for significant smoke transport from
Africa to Amazonia, Geophys. Res. Lett., 38, L20802,
<ext-link xlink:href="https://doi.org/10.1029/2011GL049200" ext-link-type="DOI">10.1029/2011GL049200</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx11"><label>Behrendt and Nakamura(2002)</label><mixed-citation>Behrendt, A. and Nakamura, T.: Calculation of the calibration constant of
polarization lidar and its dependency on atmospheric temperature, Opt.
Express, 10, 805–817, <ext-link xlink:href="https://doi.org/10.1364/OE.10.000805" ext-link-type="DOI">10.1364/OE.10.000805</ext-link>,
2002.</mixed-citation></ref>
      <ref id="bib1.bibx12"><label>Biele et al.(2000)Biele, Beyerle, and Baumgarten</label><mixed-citation>Biele, J., Beyerle, G., and Baumgarten, G.: Polarization lidar: Corrections of
instrumental effects, Opt. Express, 7, 427–435, <ext-link xlink:href="https://doi.org/10.1364/OE.7.000427" ext-link-type="DOI">10.1364/OE.7.000427</ext-link>,
2000.</mixed-citation></ref>
      <ref id="bib1.bibx13"><label>Bovchaliuk et al.(2016)Bovchaliuk, Goloub, Podvin, Veselovskii,
Tanre, Chaikovsky, Dubovik, Mortier, Lopatin, Korenskiy, and
Victori</label><mixed-citation>Bovchaliuk, V., Goloub, P., Podvin, T., Veselovskii, I., Tanre, D.,
Chaikovsky, A., Dubovik, O., Mortier, A., Lopatin, A., Korenskiy, M., and
Victori, S.: Comparison of aerosol properties retrieved using GARRLiC, LIRIC,
and Raman algorithms applied to multi-wavelength lidar and sun/sky-photometer
data, Atmos. Meas. Tech., 9, 3391–3405,
<ext-link xlink:href="https://doi.org/10.5194/amt-9-3391-2016" ext-link-type="DOI">10.5194/amt-9-3391-2016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx14"><label>Bravo-Aranda et al.(2016)Bravo-Aranda, Belegante, Freudenthaler,
Alados-Arboledas, Nicolae, Granados-Muñoz, Guerrero-Rascado, Amodeo,
D'Amico, Engelmann, Pappalardo, Kokkalis, Mamouri, Papayannis,
Navas-Guzmán, Olmo, Wandinger, Amato, and Haeffelin</label><mixed-citation>Bravo-Aranda, J. A., Belegante, L., Freudenthaler, V., Alados-Arboledas, L.,
Nicolae, D., Granados-Muñoz, M. J., Guerrero-Rascado, J. L., Amodeo, A.,
D'Amico, G., Engelmann, R., Pappalardo, G., Kokkalis, P., Mamouri, R.,
Papayannis, A., Navas-Guzmán, F., Olmo, F. J., Wandinger, U., Amato, F.,
and Haeffelin, M.: Assessment of lidar depolarization uncertainty by means of
a polarimetric lidar simulator, Atmos. Meas. Tech., 9, 4935–4953,
<ext-link xlink:href="https://doi.org/10.5194/amt-9-4935-2016" ext-link-type="DOI">10.5194/amt-9-4935-2016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx15"><label>Burton et al.(2012)Burton, Ferrare, Hostetler, Hair, Rogers, Obland,
Butler, Cook, Harper, and Froyd</label><mixed-citation>Burton, S. P., Ferrare, R. A., Hostetler, C. A., Hair, J. W., Rogers, R. R.,
Obland, M. D., Butler, C. F., Cook, A. L., Harper, D. B., and Froyd, K. D.:
Aerosol classification using airborne High Spectral Resolution Lidar
measurements – methodology and examples, Atmos. Meas. Tech., 5, 73–98,
<ext-link xlink:href="https://doi.org/10.5194/amt-5-73-2012" ext-link-type="DOI">10.5194/amt-5-73-2012</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bibx16"><label>Burton et al.(2015)Burton, Hair, Kahnert, Ferrare, Hostetler, Cook,
Harper, Berkoff, Seaman, Collins, Fenn, and Rogers</label><mixed-citation>Burton, S. P., Hair, J. W., Kahnert, M., Ferrare, R. A., Hostetler, C. A.,
Cook, A. L., Harper, D. B., Berkoff, T. A., Seaman, S. T., Collins, J. E.,
Fenn, M. A., and Rogers, R. R.: Observations of the spectral dependence of
linear particle depolarization ratio of aerosols using NASA Langley airborne
High Spectral Resolution Lidar, Atmos. Chem. Phys., 15, 13453–13473,
<ext-link xlink:href="https://doi.org/10.5194/acp-15-13453-2015" ext-link-type="DOI">10.5194/acp-15-13453-2015</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx17"><label>CALIPSO(2016)</label><mixed-citation>CALIPSO: CALIPSO/CALIOP Level 2, Lidar Aerosol Profile Data, version 3.30,
<uri>https://doi.org/10.5067/CALIOP/CALIPSO/CAL_LID_L2_05kmAPro-Prov-V3-30_L2-003.30</uri>,
2016.</mixed-citation></ref>
      <ref id="bib1.bibx18"><label>Chaikovsky et al.(2016)Chaikovsky, Dubovik, Holben, Bril, Goloub,
Tanré, Pappalardo, Wandinger, Chaikovskaya, Denisov, Grudo, Lopatin, Karol,
Lapyonok, Amiridis, Ansmann, Apituley, Allados-Arboledas, Binietoglou,
Boselli, D'Amico, Freudenthaler, Giles, Granados-Muñoz, Kokkalis, Nicolae,
Oshchepkov, Papayannis, Perrone, Pietruczuk, Rocadenbosch, Sicard, Slutsker,
Talianu, DeTomasi, Tsekeri, Wagner, and Wang</label><mixed-citation>Chaikovsky, A., Dubovik, O., Holben, B., Bril, A., Goloub, P., Tanré, D.,
Pappalardo, G., Wandinger, U., Chaikovskaya, L., Denisov, S., Grudo, J.,
Lopatin, A., Karol, Y., Lapyonok, T., Amiridis, V., Ansmann, A., Apituley,
A., Allados-Arboledas, L., Binietoglou, I., Boselli, A., D'Amico, G.,
Freudenthaler, V., Giles, D., Granados-Muñoz, M. J., Kokkalis, P.,
Nicolae, D., Oshchepkov, S., Papayannis, A., Perrone, M. R., Pietruczuk, A.,
Rocadenbosch, F., Sicard, M., Slutsker, I., Talianu, C., De Tomasi, F.,
Tsekeri, A., Wagner, J., and Wang, X.: Lidar-Radiometer Inversion Code
(LIRIC) for the retrieval of vertical aerosol properties from combined
lidar/radiometer data: development and distribution in EARLINET, Atmos. Meas.
Tech., 9, 1181–1205, <ext-link xlink:href="https://doi.org/10.5194/amt-9-1181-2016" ext-link-type="DOI">10.5194/amt-9-1181-2016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx19"><label>Chouza et al.(2015)Chouza, Reitebuch, Groß, Rahm, Freudenthaler,
Toledano, and Weinzierl</label><mixed-citation>Chouza, F., Reitebuch, O., Groß, S., Rahm, S., Freudenthaler, V.,
Toledano, C., and Weinzierl, B.: Retrieval of aerosol backscatter and
extinction from airborne coherent Doppler wind lidar measurements, Atmos.
Meas. Tech., 8, 2909–2926, <ext-link xlink:href="https://doi.org/10.5194/amt-8-2909-2015" ext-link-type="DOI">10.5194/amt-8-2909-2015</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx20"><label>Chouza et al.(2016a)Chouza, Reitebuch, Benedetti, and
Weinzierl</label><mixed-citation>Chouza, F., Reitebuch, O., Benedetti, A., and Weinzierl, B.: Saharan dust
long-range transport across the Atlantic studied by an airborne Doppler wind
lidar and the MACC model, Atmos. Chem. Phys., 16, 11581–11600,
<ext-link xlink:href="https://doi.org/10.5194/acp-16-11581-2016" ext-link-type="DOI">10.5194/acp-16-11581-2016</ext-link>, 2016a.</mixed-citation></ref>
      <ref id="bib1.bibx21"><label>Chouza et al.(2016b)Chouza, Reitebuch, Jähn, Rahm, and
Weinzierl</label><mixed-citation>Chouza, F., Reitebuch, O., Jähn, M., Rahm, S., and Weinzierl, B.:
Vertical wind retrieved by airborne lidar and analysis of island induced
gravity waves in combination with numerical models and in situ particle
measurements, Atmos. Chem. Phys., 16, 4675–4692,
<ext-link xlink:href="https://doi.org/10.5194/acp-16-4675-2016" ext-link-type="DOI">10.5194/acp-16-4675-2016</ext-link>, 2016b.</mixed-citation></ref>
      <ref id="bib1.bibx22"><label>Colarco et al.(2003)Colarco, Toon, Reid, Livingston, Russell,
Redemann, Schmid, Maring, Savoie, Welton, Campbell, Holben, and
Levy</label><mixed-citation>Colarco, P. R., Toon, O. B., Reid, J. S., Livingston, J. M., Russell, P. B.,
Redemann, J., Schmid, B., Maring, H. B., Savoie, D., Welton, E. J., Campbell,
J. R., Holben, B. N., and Levy, R.: Saharan dust transport to the Caribbean
during PRIDE: 2. Transport, vertical profiles, and deposition in simulations
of in situ and remote sensing observations, J. Geophys. Res.-Atmos., 108, 8590, <ext-link xlink:href="https://doi.org/10.1029/2002JD002659" ext-link-type="DOI">10.1029/2002JD002659</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bibx23"><label>Curtis et al.(2008)Curtis, Meland, Aycibin, Arnold, Grassian, Young,
and Kleiber</label><mixed-citation>Curtis, D. B., Meland, B., Aycibin, M., Arnold, N. P., Grassian, V. H.,
Young, M. A., and Kleiber, P. D.: A laboratory investigation of light
scattering from representative components of mineral dust aerosol at a
wavelength of 550 nm, J. Geophys. Res.-Atmos., 113, D08210,
<ext-link xlink:href="https://doi.org/10.1029/2007JD009387" ext-link-type="DOI">10.1029/2007JD009387</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bibx24"><label>David et al.(2013)David, Thomas, Nousiainen, Miffre, and
Rairoux</label><mixed-citation>David, G., Thomas, B., Nousiainen, T., Miffre, A., and Rairoux, P.:
Retrieving simulated volcanic, desert dust and sea-salt particle properties
from two/three-component particle mixtures using UV-VIS polarization lidar
and T matrix, Atmos. Chem. Phys., 13, 6757–6776,
<ext-link xlink:href="https://doi.org/10.5194/acp-13-6757-2013" ext-link-type="DOI">10.5194/acp-13-6757-2013</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx25"><label>Dawson et al.(2015)Dawson, Meskhidze, Josset, and
Gassó</label><mixed-citation>Dawson, K. W., Meskhidze, N., Josset, D., and Gassó, S.: Spaceborne
observations of the lidar ratio of marine aerosols, Atmos. Chem. Phys., 15,
3241–3255, <ext-link xlink:href="https://doi.org/10.5194/acp-15-3241-2015" ext-link-type="DOI">10.5194/acp-15-3241-2015</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx26"><label>di Sarra et al.(2001)</label><mixed-citation>di Sarra, A., Di Iorio, T., Cacciani, M., Fiocco, G., and Fuà, D.:
Saharan
dust profiles measured by lidar at Lampedusa, J. Geophys.
Res.-Atmos., 106, 10335–10347, <ext-link xlink:href="https://doi.org/10.1029/2000JD900734" ext-link-type="DOI">10.1029/2000JD900734</ext-link>, 2001.</mixed-citation></ref>
      <ref id="bib1.bibx27"><label>Dubovik et al.(2006)</label><mixed-citation>Dubovik, O., Sinyuk, A., Lapyonok, T., Holben, B. N., Mishchenko, M., Yang, P.,
Eck, T. F., Volten, H., Muñoz, O., Veihelmann, B., van der Zande, W. J.,
Leon, J.-F., Sorokin, M., and Slutsker, I.: Application of spheroid models to
account for aerosol particle nonsphericity in remote sensing of desert dust,
J. Geophys. Res.-Atmos., 111, D11208,
<ext-link xlink:href="https://doi.org/10.1029/2005JD006619" ext-link-type="DOI">10.1029/2005JD006619</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bibx28"><label>Engelmann et al.(2016)Engelmann, Kanitz, Baars, Heese, Althausen,
Skupin, Wandinger, Komppula, Stachlewska, Amiridis, Marinou, Mattis, Linné,
and Ansmann</label><mixed-citation>Engelmann, R., Kanitz, T., Baars, H., Heese, B., Althausen, D., Skupin, A.,
Wandinger, U., Komppula, M., Stachlewska, I. S., Amiridis, V., Marinou, E.,
Mattis, I., Linné, H., and Ansmann, A.: The automated multiwavelength
Raman polarization and water-vapor lidar Polly<inline-formula><mml:math id="M328" display="inline"><mml:msup><mml:mi/><mml:mtext>XT</mml:mtext></mml:msup></mml:math></inline-formula>: the neXT
generation, Atmos. Meas. Tech., 9, 1767–1784,
<ext-link xlink:href="https://doi.org/10.5194/amt-9-1767-2016" ext-link-type="DOI">10.5194/amt-9-1767-2016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx29"><label>Flamant et al.(1998)Flamant, Trouillet, Chazette, and
Pelon</label><mixed-citation>Flamant, C., Trouillet, V., Chazette, P., and Pelon, J.: Wind speed dependence
of atmospheric boundary layer optical properties and ocean surface
reflectance as observed by airborne backscatter lidar, J. Geophys.
Res.-Oceans, 103, 25137–25158, <ext-link xlink:href="https://doi.org/10.1029/98JC02284" ext-link-type="DOI">10.1029/98JC02284</ext-link>, 1998.</mixed-citation></ref>
      <ref id="bib1.bibx30"><label>Franke et al.(2003)Franke, Ansmann, Müller, Althausen, Venkataraman,
Reddy, Wagner, and Scheele</label><mixed-citation>Franke, K., Ansmann, A., Müller, D., Althausen, D., Venkataraman, C.,
Reddy, M. S., Wagner, F., and Scheele, R.: Optical properties of the
Indo-Asian haze layer over the tropical Indian Ocean, J. Geophys.
Res.-Atmos., 108, 4059, <ext-link xlink:href="https://doi.org/10.1029/2002JD002473" ext-link-type="DOI">10.1029/2002JD002473</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bibx31"><label>Freudenthaler(2008)</label><mixed-citation>
Freudenthaler, V.: The telecover test: A quality assurance tool for the optical
part of a lidar system, in: 24th International Laser Radar Conference, 23–27 June 2008,
Boulder, CO, USA, S01P-3, 2008.</mixed-citation></ref>
      <ref id="bib1.bibx32"><label>Freudenthaler(2016)</label><mixed-citation>Freudenthaler, V.: About the effects of polarising optics on lidar signals
and the <inline-formula><mml:math id="M329" display="inline"><mml:mi mathvariant="normal">Δ</mml:mi></mml:math></inline-formula>90 calibration, Atmos. Meas. Tech., 9, 4181–4255,
<ext-link xlink:href="https://doi.org/10.5194/amt-9-4181-2016" ext-link-type="DOI">10.5194/amt-9-4181-2016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx33"><label>Freudenthaler et al.(2009)Freudenthaler, Esselborn, Wiegner, Heese,
Tesche, Ansmann, Müller, Althausen, Wirth, Fix, Ehret, Knippertz, Toledano,
Gasteiger, Garhammer, and Seefeldner</label><mixed-citation>Freudenthaler, V., Esselborn, M., Wiegner, M., Heese, B., Tesche, M., Ansmann,
A., Müller, D., Althausen, D., Wirth, M., Fix, A., Ehret, G., Knippertz,
P., Toledano, C., Gasteiger, J., Garhammer, M., and Seefeldner, M.:
Depolarization ratio profiling at several wavelengths in pure Saharan dust
during SAMUM 2006, Tellus B, 61, 165–179,
<ext-link xlink:href="https://doi.org/10.1111/j.1600-0889.2008.00396.x" ext-link-type="DOI">10.1111/j.1600-0889.2008.00396.x</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bibx34"><label>Freudenthaler et al.(2016)Freudenthaler, Seefeldner, Groß, and
Wandinger</label><mixed-citation>Freudenthaler, V., Seefeldner, M., Groß, S., and Wandinger, U.: Accuracy of
Linear Depolarisation Ratios in Clean Air Ranges Measured with POLIS-6 at 355
and 532 NM, EPJ Web of Conferences, 119, 25013,
<ext-link xlink:href="https://doi.org/10.1051/epjconf/201611925013" ext-link-type="DOI">10.1051/epjconf/201611925013</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx35"><label>Garimella et al.(2014)Garimella, Huang, Seewald, and
Cziczo</label><mixed-citation>Garimella, S., Huang, Y.-W., Seewald, J. S., and Cziczo, D. J.: Cloud
condensation nucleus activity comparison of dry- and wet-generated mineral
dust aerosol: the significance of soluble material, Atmos. Chem. Phys., 14,
6003–6019, <ext-link xlink:href="https://doi.org/10.5194/acp-14-6003-2014" ext-link-type="DOI">10.5194/acp-14-6003-2014</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx36"><label>Gasteiger and Freudenthaler(2014)</label><mixed-citation>Gasteiger, J. and Freudenthaler, V.: Benefit of depolarization ratio at
<inline-formula><mml:math id="M330" display="inline"><mml:mi mathvariant="italic">λ</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M331" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 1064 nm for the retrieval of the aerosol microphysics from
lidar measurements, Atmos. Meas. Tech., 7, 3773–3781,
<ext-link xlink:href="https://doi.org/10.5194/amt-7-3773-2014" ext-link-type="DOI">10.5194/amt-7-3773-2014</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx37"><label>Gasteiger et al.(2011)Gasteiger, Wiegner, Groß, Freudenthaler,
Toledano, Tesche, and Kandler</label><mixed-citation>Gasteiger, J., Wiegner, M., Groß, S., Freudenthaler, V., Toledano, C.,
Tesche, M., and Kandler, K.: Modelling lidar-relevant optical properties of
complex mineral dust aerosols, Tellus B, 63, 725–741,
<ext-link xlink:href="https://doi.org/10.1111/j.1600-0889.2011.00559.x" ext-link-type="DOI">10.1111/j.1600-0889.2011.00559.x</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx38"><label>Gasteiger et al.(2017)Gasteiger, Groß, Sauer, Haarig, Ansmann,
and Weinzierl</label><mixed-citation>Gasteiger, J., Groß, S., Sauer, D., Haarig, M., Ansmann, A., and
Weinzierl, B.: Particle settling and vertical mixing in the Saharan Air Layer
as seen from an integrated model, lidar, and in situ perspective, Atmos.
Chem. Phys., 17, 297–311, <ext-link xlink:href="https://doi.org/10.5194/acp-17-297-2017" ext-link-type="DOI">10.5194/acp-17-297-2017</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx39"><label>Gimmestad(2008)</label><mixed-citation>Gimmestad, G. G.: Reexamination of depolarization in lidar measurements, Appl.
Optics, 47, 3795–3802, <ext-link xlink:href="https://doi.org/10.1364/AO.47.003795" ext-link-type="DOI">10.1364/AO.47.003795</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bibx40"><label>Gobbi(1998)</label><mixed-citation>Gobbi, G. P.: Polarization lidar returns from aerosols and thin clouds: a
framework for the analysis, Appl. Optics, 37, 5505–5508,
<ext-link xlink:href="https://doi.org/10.1364/AO.37.005505" ext-link-type="DOI">10.1364/AO.37.005505</ext-link>,1998.</mixed-citation></ref>
      <ref id="bib1.bibx41"><label>Gobbi et al.(2000)Gobbi, Barnaba, Giorgi, and Santacasa</label><mixed-citation>Gobbi, G. P., Barnaba, F., Giorgi, R., and Santacasa, A.: Altitude-resolved
properties of a Saharan dust event over the Mediterranean, Atmos. Environ., 34, 5119–5127,
<ext-link xlink:href="https://doi.org/10.1016/S1352-2310(00)00194-1" ext-link-type="DOI">10.1016/S1352-2310(00)00194-1</ext-link>,
2000.</mixed-citation></ref>
      <ref id="bib1.bibx42"><label>Groß et al.(2011a)Groß, Gasteiger,
Freudenthaler, Wiegner, Geiß, Schladitz, Toledano, Kandler, Tesche,
Ansmann, and Wiedensohler</label><mixed-citation>Groß, S., Gasteiger, J., Freudenthaler, V., Wiegner, M., Geiß, A.,
Schladitz, A., Toledano, C., Kandler, K., Tesche, M., Ansmann, A., and
Wiedensohler, A.: Characterization of the planetary boundary layer during
SAMUM-2 by means of lidar measurements, Tellus B, 63, 695–705,
<ext-link xlink:href="https://doi.org/10.1111/j.1600-0889.2011.00557.x" ext-link-type="DOI">10.1111/j.1600-0889.2011.00557.x</ext-link>, 2011a.</mixed-citation></ref>
      <ref id="bib1.bibx43"><label>Groß et al.(2011b)Groß, Tesche, Freudenthaler,
Toledano, Wiegner, Ansmann, Althausen, and Seefeldner</label><mixed-citation>Groß, S., Tesche, M., Freudenthaler, V., Toledano, C., Wiegner, M.,
Ansmann, A., Althausen, D., and Seefeldner, M.: Characterization of Saharan
dust, marine aerosols and mixtures of biomass-burning aerosols and dust by
means of multi-wavelength depolarization and Raman lidar measurements during
SAMUM 2, Tellus B, 63, 706–724, <ext-link xlink:href="https://doi.org/10.1111/j.1600-0889.2011.00556.x" ext-link-type="DOI">10.1111/j.1600-0889.2011.00556.x</ext-link>,
2011b.</mixed-citation></ref>
      <ref id="bib1.bibx44"><label>Groß et al.(2015)Groß, Freudenthaler, Schepanski, Toledano,
Schäfler, Ansmann, and Weinzierl</label><mixed-citation>Groß, S., Freudenthaler, V., Schepanski, K., Toledano, C., Schäfler,
A., Ansmann, A., and Weinzierl, B.: Optical properties of long-range
transported Saharan dust over Barbados as measured by dual-wavelength
depolarization Raman lidar measurements, Atmos. Chem. Phys., 15,
11067–11080, <ext-link xlink:href="https://doi.org/10.5194/acp-15-11067-2015" ext-link-type="DOI">10.5194/acp-15-11067-2015</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx45"><label>Groß et al.(2016)Groß, Gasteiger, Freudenthaler, Müller,
Sauer, Toledano, and Ansmann</label><mixed-citation>Groß, S., Gasteiger, J., Freudenthaler, V., Müller, T., Sauer, D.,
Toledano, C., and Ansmann, A.: Saharan dust contribution to the Caribbean
summertime boundary layer – a lidar study during SALTRACE, Atmos. Chem.
Phys., 16, 11535–11546, <ext-link xlink:href="https://doi.org/10.5194/acp-16-11535-2016" ext-link-type="DOI">10.5194/acp-16-11535-2016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx46"><label>Haarig et al.(2016a)Haarig, Althausen, Ansmann, Klepel,
Baars, Engelmann, Groß, and Freudenthaler</label><mixed-citation>Haarig, M., Althausen, D., Ansmann, A., Klepel, A., Baars, H., Engelmann, R.,
Groß, S., and Freudenthaler, V.: Measurement of the Linear Depolarization
Ratio of Aged Dust at Three Wavelengths (355, 532 and 1064 nm) Simultaneously
over Barbados, EPJ Web of Conferences, 119, 18009,
<ext-link xlink:href="https://doi.org/10.1051/epjconf/201611918009" ext-link-type="DOI">10.1051/epjconf/201611918009</ext-link>, 2016a.</mixed-citation></ref>
      <ref id="bib1.bibx47"><label>Haarig et al.(2016b)Haarig, Engelmann, Ansmann,
Veselovskii, Whiteman, and Althausen</label><mixed-citation>Haarig, M., Engelmann, R., Ansmann, A., Veselovskii, I., Whiteman, D. N., and
Althausen, D.: 1064 nm rotational Raman lidar for particle extinction and
lidar-ratio profiling: cirrus case study, Atmos. Meas. Tech., 9, 4269–4278,
<ext-link xlink:href="https://doi.org/10.5194/amt-9-4269-2016" ext-link-type="DOI">10.5194/amt-9-4269-2016</ext-link>, 2016b.</mixed-citation></ref>
      <ref id="bib1.bibx48"><label>Haarig et al.(2017)Haarig, Ansmann, Gasteiger, Kandler, Althausen,
Baars, and Farrell</label><mixed-citation>Haarig, M., Ansmann, A., Gasteiger, J., Kandler, K., Althausen, D., Baars,
H., and Farrell, D. A.: Dry versus wet marine particle optical properties: RH
dependence of depolarization ratio, backscatter and extinction from
multiwavelength lidar measurements during SALTRACE, Atmos. Chem. Phys.
Discuss., <ext-link xlink:href="https://doi.org/10.5194/acp-2017-545" ext-link-type="DOI">10.5194/acp-2017-545</ext-link>, in review, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx49"><label>Haywood et al.(2008)Haywood, Pelon, Formenti, Bharmal, Brooks, Capes,
Chazette, Chou, Christopher, Coe, Cuesta, Derimian, Desboeufs, Greed,
Harrison, Heese, Highwood, Johnson, Mallet, Marticorena, Marsham, Milton,
Myhre, Osborne, Parker, Rajot, Schulz, Slingo, Tanré, and
Tulet</label><mixed-citation>Haywood, J. M., Pelon, J., Formenti, P., Bharmal, N., Brooks, M., Capes, G.,
Chazette, P., Chou, C., Christopher, S., Coe, H., Cuesta, J., Derimian, Y.,
Desboeufs, K., Greed, G., Harrison, M., Heese, B., Highwood, E. J., Johnson,
B., Mallet, M., Marticorena, B., Marsham, J., Milton, S., Myhre, G., Osborne,
S. R., Parker, D. J., Rajot, J.-L., Schulz, M., Slingo, A., Tanré, D., and
Tulet, P.: Overview of the Dust and Biomass-burning Experiment and African
Monsoon Multidisciplinary Analysis Special Observing Period-0, J.
Geophys. Res.-Atmos., 113, D00C17, <ext-link xlink:href="https://doi.org/10.1029/2008JD010077" ext-link-type="DOI">10.1029/2008JD010077</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bibx50"><label>Heinold et al.(2011)Heinold, Tegen, Schepanski, Tesche, Esselborn,
Freudenthaler, Groß, Kandler, Knippertz, Müeller, Schladitz, Toledano,
Weinzierl, Ansmann, Althausen, Müller, Petzold, and
Wiedensohler</label><mixed-citation>Heinold, B., Tegen, I., Schepanski, K., Tesche, M., Esselborn, M.,
Freudenthaler, V., Groß, S., Kandler, K., Knippertz, P., Müeller, D.,
Schladitz, A., Toledano, C., Weinzierl, B., Ansmann, A., Althausen, D.,
Müller, T., Petzold, A., and Wiedensohler, A.: Regional modelling of
Saharan dust and biomass-burning smoke, Tellus B, 63, 781–799,
<ext-link xlink:href="https://doi.org/10.1111/j.1600-0889.2011.00570.x" ext-link-type="DOI">10.1111/j.1600-0889.2011.00570.x</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx51"><label>Heintzenberg(2009)</label><mixed-citation>Heintzenberg, J.: The SAMUM-1 experiment over Southern Morocco: overview and
introduction, Tellus B, 61, 2–11, <ext-link xlink:href="https://doi.org/10.1111/j.1600-0889.2008.00403.x" ext-link-type="DOI">10.1111/j.1600-0889.2008.00403.x</ext-link>,
2009.</mixed-citation></ref>
      <ref id="bib1.bibx52"><label>Hofer et al.(2017)Hofer, Althausen, Abdullaev, Makhmudov, Nazarov,
Schettler, Engelmann, Baars, Fomba, Müller, Heinold, Kandler, and
Ansmann</label><mixed-citation>Hofer, J., Althausen, D., Abdullaev, S. F., Makhmudov, A. N., Nazarov, B. I.,
Schettler, G., Engelmann, R., Baars, H., Fomba, K. W., Müller, K.,
Heinold, B., Kandler, K., and Ansmann, A.: Long-term profiling of mineral
dust and pollution aerosol with multiwavelength polarization/Raman lidar at
the Central Asian site of Dushanbe, Tajikistan: Case studies, Atmos. Chem.
Phys. Discuss., <ext-link xlink:href="https://doi.org/10.5194/acp-2017-559" ext-link-type="DOI">10.5194/acp-2017-559</ext-link>, in review, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx53"><label>Holben et al.(1998)Holben, Eck, Slutsker, Tanré, Buis, Setzer,
Vermote, Reagan, Kaufman, Nakajima, Lavenu, Jankowiak, and
Smirnov</label><mixed-citation>Holben, B., Eck, T., Slutsker, I., Tanré, D., Buis, J., Setzer, A.,
Vermote,
E., Reagan, J., Kaufman, Y., Nakajima, T., Lavenu, F., Jankowiak, I., and
Smirnov, A.: AERONET – A Federated Instrument Network and Data Archive for
Aerosol Characterization, Remote Sens. Environ., 66, 1–16,
<ext-link xlink:href="https://doi.org/10.1016/S0034-4257(98)00031-5" ext-link-type="DOI">10.1016/S0034-4257(98)00031-5</ext-link>, 1998.</mixed-citation></ref>
      <ref id="bib1.bibx54"><label>Huebert et al.(2003)Huebert, Bates, Russell, Shi, Kim, Kawamura,
Carmichael, and Nakajima</label><mixed-citation>Huebert, B. J., Bates, T., Russell, P. B., Shi, G., Kim, Y. J., Kawamura, K.,
Carmichael, G., and Nakajima, T.: An overview of ACE-Asia: Strategies for
quantifying the relationships between Asian aerosols and their climatic
impacts, J. Geophys. Res.-Atmos., 108, 8633,
<ext-link xlink:href="https://doi.org/10.1029/2003JD003550" ext-link-type="DOI">10.1029/2003JD003550</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bibx55"><label>Huneeus et al.(2011)Huneeus, Schulz, Balkanski, Griesfeller,
Prospero, Kinne, Bauer, Boucher, Chin, Dentener, Diehl, Easter, Fillmore,
Ghan, Ginoux, Grini, Horowitz, Koch, Krol, Landing, Liu, Mahowald, Miller,
Morcrette, Myhre, Penner, Perlwitz, Stier, Takemura, and
Zender</label><mixed-citation>Huneeus, N., Schulz, M., Balkanski, Y., Griesfeller, J., Prospero, J., Kinne,
S., Bauer, S., Boucher, O., Chin, M., Dentener, F., Diehl, T., Easter, R.,
Fillmore, D., Ghan, S., Ginoux, P., Grini, A., Horowitz, L., Koch, D., Krol,
M. C., Landing, W., Liu, X., Mahowald, N., Miller, R., Morcrette, J.-J.,
Myhre, G., Penner, J., Perlwitz, J., Stier, P., Takemura, T., and Zender, C.
S.: Global dust model intercomparison in AeroCom phase I, Atmos. Chem. Phys.,
11, 7781–7816, <ext-link xlink:href="https://doi.org/10.5194/acp-11-7781-2011" ext-link-type="DOI">10.5194/acp-11-7781-2011</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx56"><label>HYSPLIT(2016)</label><mixed-citation>HYSPLIT: HYbrid Single-Particle Lagrangian Integrated Trajectory model,
backward trajectory calculation tool,
<uri>http://ready.arl.noaa.gov/HYSPLIT.php</uri>, last access: 20 December 2016.</mixed-citation></ref>
      <ref id="bib1.bibx57"><label>Iwasaka et al.(1988)Iwasaka, Yamato, Imasu, and Ono</label><mixed-citation>Iwasaka, Y., Yamato, M., Imasu, R., and Ono, A.: Transport of Asian dust (KOSA)
particles; importance of weak KOSA events on the geochemical cycle of soil
particles, Tellus B, 40B, 494–503, <ext-link xlink:href="https://doi.org/10.1111/j.1600-0889.1988.tb00119.x" ext-link-type="DOI">10.1111/j.1600-0889.1988.tb00119.x</ext-link>, 1988.</mixed-citation></ref>
      <ref id="bib1.bibx58"><label>Jähn et al.(2016)</label><mixed-citation>Jähn, M., Muñoz-Esparza, D., Chouza, F., Reitebuch, O., Knoth, O.,
Haarig, M., and Ansmann, A.: Investigations of boundary layer structure,
cloud characteristics and vertical mixing of aerosols at Barbados with large
eddy simulations, Atmos. Chem. Phys., 16, 651–674,
<ext-link xlink:href="https://doi.org/10.5194/acp-16-651-2016" ext-link-type="DOI">10.5194/acp-16-651-2016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx59"><label>Järvinen et al.(2016)Järvinen, Kemppinen, Nousiainen, Kociok,
Möhler, Leisner, and Schnaiter</label><mixed-citation>Järvinen, E., Kemppinen, O., Nousiainen, T., Kociok, T., Möhler, O.,
Leisner, T., and Schnaiter, M.: Laboratory investigations of mineral dust
near-backscattering depolarization ratios, J. Quant. Spectrosc. Ra., 178,
192–208,
<ext-link xlink:href="https://doi.org/10.1016/j.jqsrt.2016.02.003" ext-link-type="DOI">10.1016/j.jqsrt.2016.02.003</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx60"><label>Johnson and Osborne(2011)</label><mixed-citation>Johnson, B. T. and Osborne, S. R.: Physical and optical properties of mineral
dust aerosol measured by aircraft during the GERBILS campaign, Q. J. Roy.
Meteor. Soc., 137, 1117–1130, <ext-link xlink:href="https://doi.org/10.1002/qj.777" ext-link-type="DOI">10.1002/qj.777</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx61"><label>Jung et al.(2013)Jung, Albrecht, Prospero, Jonsson, and
Kreidenweis</label><mixed-citation>Jung, E., Albrecht, B., Prospero, J. M., Jonsson, H. H., and Kreidenweis,
S. M.: Vertical structure of aerosols, temperature, and moisture associated
with an intense African dust event observed over the eastern Caribbean,
J. Geophys. Res.-Atmos., 118, 4623–4643,
<ext-link xlink:href="https://doi.org/10.1002/jgrd.50352" ext-link-type="DOI">10.1002/jgrd.50352</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx62"><label>Kanitz et al.(2013)Kanitz, Ansmann, Engelmann, and
Althausen</label><mixed-citation>Kanitz, T., Ansmann, A., Engelmann, R., and Althausen, D.: North-south cross
sections of the vertical aerosol distribution over the Atlantic Ocean from
multiwavelength Raman/polarization lidar during Polarstern cruises, J.
Geophys. Res.-Atmos., 118, 2643–2655,
<ext-link xlink:href="https://doi.org/10.1002/jgrd.50273" ext-link-type="DOI">10.1002/jgrd.50273</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx63"><label>Kanitz et al.(2014)Kanitz, Engelmann, Heinold, Baars, Skupin, and
Ansmann</label><mixed-citation>Kanitz, T., Engelmann, R., Heinold, B., Baars, H., Skupin, A., and Ansmann, A.:
Tracking the Saharan Air Layer with shipborne lidar across the tropical
Atlantic, Geophys. Res. Lett., 41, 1044–1050,
<ext-link xlink:href="https://doi.org/10.1002/2013GL058780" ext-link-type="DOI">10.1002/2013GL058780</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx64"><label>Karyampudi et al.(1999)Karyampudi, Palm, Reagen, Fang, Grant, Hoff,
Moulin, Pierce, Torres, Browell, and Melfi</label><mixed-citation>Karyampudi, V. M., Palm, S. P., Reagen, J. A., Fang, H., Grant, W. B., Hoff,
R. M., Moulin, C., Pierce, H. F., Torres, O., Browell, E. V., and Melfi,
S. H.: Validation of the Saharan Dust Plume Conceptual Model Using Lidar,
Meteosat, and ECMWF Data, B. Am. Meteorol. Soc.,
80, 1045–1075, <ext-link xlink:href="https://doi.org/10.1175/1520-0477(1999)080&lt;1045:VOTSDP&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0477(1999)080&lt;1045:VOTSDP&gt;2.0.CO;2</ext-link>,1999.</mixed-citation></ref>
      <ref id="bib1.bibx65"><label>Kemppinen et al.(2015a)Kemppinen, Nousiainen, and
Lindqvist</label><mixed-citation>Kemppinen, O., Nousiainen, T., and Lindqvist, H.: The impact of surface
roughness on scattering by realistically shaped wavelength-scale dust
particles, J. Quant. Spectrosc. Ra., 150,
55–67, <ext-link xlink:href="https://doi.org/10.1016/j.jqsrt.2014.05.024" ext-link-type="DOI">10.1016/j.jqsrt.2014.05.024</ext-link>, 2015a.</mixed-citation></ref>
      <ref id="bib1.bibx66"><label>Kemppinen et al.(2015b)Kemppinen, Nousiainen,
Merikallio, and Räisänen</label><mixed-citation>Kemppinen, O., Nousiainen, T., Merikallio, S., and Räisänen, P.:
Retrieving microphysical properties of dust-like particles using ellipsoids:
the case of refractive index, Atmos. Chem. Phys., 15, 11117–11132,
<ext-link xlink:href="https://doi.org/10.5194/acp-15-11117-2015" ext-link-type="DOI">10.5194/acp-15-11117-2015</ext-link>, 2015b.</mixed-citation></ref>
      <ref id="bib1.bibx67"><label>Kobayashi et al.(1985)Kobayashi, Hayashida, Okada, and
Iwasaka</label><mixed-citation>Kobayashi, A., Hayashida, S., Okada, K., and Iwasaka, Y.: Measurements of the
Polarization Properties of Kosa (Asian Dust-storm) Particles by a Laser Radar
in Spring 1983, J. Meteorol. Soc. Jpn. Ser. II, 63,
144–149, <ext-link xlink:href="https://doi.org/10.2151/jmsj1965.63.1_144" ext-link-type="DOI">10.2151/jmsj1965.63.1_144</ext-link>, 1985.</mixed-citation></ref>
      <ref id="bib1.bibx68"><label>Kristensen et al.(2016)Kristensen, Müller, Kandler, Benker,
Hartmann, Prospero, Wiedensohler, and Stratmann</label><mixed-citation>Kristensen, T. B., Müller, T., Kandler, K., Benker, N., Hartmann, M.,
Prospero, J. M., Wiedensohler, A., and Stratmann, F.: Properties of cloud
condensation nuclei (CCN) in the trade wind marine boundary layer of the
western North Atlantic, Atmos. Chem. Phys., 16, 2675–2688,
<ext-link xlink:href="https://doi.org/10.5194/acp-16-2675-2016" ext-link-type="DOI">10.5194/acp-16-2675-2016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx69"><label>Lindqvist et al.(2014)Lindqvist, Jokinen, Kandler, Scheuvens, and
Nousiainen</label><mixed-citation>Lindqvist, H., Jokinen, O., Kandler, K., Scheuvens, D., and Nousiainen, T.:
Single scattering by realistic, inhomogeneous mineral dust particles with
stereogrammetric shapes, Atmos. Chem. Phys., 14, 143–157,
<ext-link xlink:href="https://doi.org/10.5194/acp-14-143-2014" ext-link-type="DOI">10.5194/acp-14-143-2014</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx70"><label>Liu et al.(2003)Liu, Mishchenko, Hovenier, Volten, and
Muñoz</label><mixed-citation>Liu, L., Mishchenko, M. I., Hovenier, J. W., Volten, H., and Muñoz, O.:
Scattering matrix of quartz aerosols: comparison and synthesis of laboratory
and Lorenz–Mie results, J. Quant. Spectrosc. Ra., 79, 911–920,
<ext-link xlink:href="https://doi.org/10.1016/S0022-4073(02)00328-X" ext-link-type="DOI">10.1016/S0022-4073(02)00328-X</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bibx71"><label>Lopatin et al.(2013)Lopatin, Dubovik, Chaikovsky, Goloub, Lapyonok,
Tanré, and Litvinov</label><mixed-citation>Lopatin, A., Dubovik, O., Chaikovsky, A., Goloub, P., Lapyonok, T.,
Tanré, D., and Litvinov, P.: Enhancement of aerosol characterization
using synergy of lidar and sun-photometer coincident observations: the
GARRLiC algorithm, Atmos. Meas. Tech., 6, 2065–2088,
<ext-link xlink:href="https://doi.org/10.5194/amt-6-2065-2013" ext-link-type="DOI">10.5194/amt-6-2065-2013</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx72"><label>Mamouri and Ansmann(2014)</label><mixed-citation>Mamouri, R. E. and Ansmann, A.: Fine and coarse dust separation with
polarization lidar, Atmos. Meas. Tech., 7, 3717–3735,
<ext-link xlink:href="https://doi.org/10.5194/amt-7-3717-2014" ext-link-type="DOI">10.5194/amt-7-3717-2014</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bibx73"><label>Mamouri and Ansmann(2017)</label><mixed-citation>Mamouri, R.-E. and Ansmann, A.: Potential of polarization/Raman lidar to
separate fine dust, coarse dust, maritime, and anthropogenic aerosol
profiles, Atmos. Meas. Tech. Discuss., <ext-link xlink:href="https://doi.org/10.5194/amt-2017-131" ext-link-type="DOI">10.5194/amt-2017-131</ext-link>,
in review, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx74"><label>Marinou et al.(2017)Marinou, Amiridis, Binietoglou, Tsikerdekis,
Solomos, Proestakis, Konsta, Papagiannopoulos, Tsekeri, Vlastou, Zanis,
Balis, Wandinger, and Ansmann</label><mixed-citation>Marinou, E., Amiridis, V., Binietoglou, I., Tsikerdekis, A., Solomos, S.,
Proestakis, E., Konsta, D., Papagiannopoulos, N., Tsekeri, A., Vlastou, G.,
Zanis, P., Balis, D., Wandinger, U., and Ansmann, A.: Three-dimensional
evolution of Saharan dust transport towards Europe based on a 9-year
EARLINET-optimized CALIPSO dataset, Atmos. Chem. Phys., 17, 5893–5919,
<ext-link xlink:href="https://doi.org/10.5194/acp-17-5893-2017" ext-link-type="DOI">10.5194/acp-17-5893-2017</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx75"><label>Mattis et al.(2002)Mattis, Ansmann, Müller, Wandinger, and
Althausen</label><mixed-citation>Mattis, I., Ansmann, A., Müller, D., Wandinger, U., and Althausen, D.:
Dual-wavelength Raman lidar observations of the extinction-to-backscatter
ratio of Saharan dust, Geophys. Res. Lett., 29, 20-1–20-4,
<ext-link xlink:href="https://doi.org/10.1029/2002GL014721" ext-link-type="DOI">10.1029/2002GL014721</ext-link>, 2002.</mixed-citation></ref>
      <ref id="bib1.bibx76"><label>Mattis et al.(2009)Mattis, Tesche, Grein, Freudenthaler, and
Müller</label><mixed-citation>Mattis, I., Tesche, M., Grein, M., Freudenthaler, V., and Müller, D.:
Systematic error of lidar profiles caused by a polarization-dependent
receiver transmission: quantification and error correction scheme, Appl.
Optics, 48, 2742–2751, <ext-link xlink:href="https://doi.org/10.1364/AO.48.002742" ext-link-type="DOI">10.1364/AO.48.002742</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bibx77"><label>McConnell et al.(2008)McConnell, Highwood, Coe, Formenti, Anderson,
Osborne, Nava, Desboeufs, Chen, and Harrison</label><mixed-citation>McConnell, C. L., Highwood, E. J., Coe, H., Formenti, P., Anderson, B.,
Osborne, S., Nava, S., Desboeufs, K., Chen, G., and Harrison, M. A. J.:
Seasonal variations of the physical and optical characteristics of Saharan
dust: Results from the Dust Outflow and Deposition to the Ocean (DODO)
experiment, J. Geophys. Res.-Atmos., 113, D14S05,
<ext-link xlink:href="https://doi.org/10.1029/2007JD009606" ext-link-type="DOI">10.1029/2007JD009606</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bibx78"><label>McNeil and Carsweil(1975)</label><mixed-citation>McNeil, W. R. and Carsweil, A. L.: Lidar polarization studies of the
troposphere, Appl. Optics, 14, 2158–2168, <ext-link xlink:href="https://doi.org/10.1364/AO.14.002158" ext-link-type="DOI">10.1364/AO.14.002158</ext-link>, 1975.</mixed-citation></ref>
      <ref id="bib1.bibx79"><label>Miffre et al.(2016)Miffre, Mehri, Francis, and Rairoux</label><mixed-citation>Miffre, A., Mehri, T., Francis, M., and Rairoux, P.: UV–VIS depolarization
from Arizona Test Dust particles at exact backscattering angle, J.
Quant. Spectrosc. Ra., 169, 79–90,
<ext-link xlink:href="https://doi.org/10.1016/j.jqsrt.2015.09.016" ext-link-type="DOI">10.1016/j.jqsrt.2015.09.016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx80"><label>Müller et al.(2010a)Müller, Ansmann, Freudenthaler,
Kandler, Toledano, Hiebsch, Gasteiger, Esselborn, Tesche, Heese, Althausen,
Weinzierl, Petzold, and von Hoyningen-Huene</label><mixed-citation>Müller, D., Ansmann, A., Freudenthaler, V., Kandler, K., Toledano, C.,
Hiebsch, A., Gasteiger, J., Esselborn, M., Tesche, M., Heese, B., Althausen,
D., Weinzierl, B., Petzold, A., and von Hoyningen-Huene, W.: Mineral dust
observed with AERONET Sun photometer, Raman lidar, and in situ instruments
during SAMUM 2006: Shape-dependent particle properties, J.
Geophys. Res.-Atmos., 115, D11207, <ext-link xlink:href="https://doi.org/10.1029/2009JD012523" ext-link-type="DOI">10.1029/2009JD012523</ext-link>,
2010a.</mixed-citation></ref>
      <ref id="bib1.bibx81"><label>Müller et al.(2010b)Müller, Weinzierl, Petzold,
Kandler, Ansmann, Müller, Tesche, Freudenthaler, Esselborn, Heese,
Althausen, Schladitz, Otto, and Knippertz</label><mixed-citation>Müller, D., Weinzierl, B., Petzold, A., Kandler, K., Ansmann, A.,
Müller,
T., Tesche, M., Freudenthaler, V., Esselborn, M., Heese, B., Althausen, D.,
Schladitz, A., Otto, S., and Knippertz, P.: Mineral dust observed with
AERONET Sun photometer, Raman lidar, and in situ instruments during SAMUM
2006: Shape-independent particle properties, J. Geophys. Res.-Atmos., 115, D07202, <ext-link xlink:href="https://doi.org/10.1029/2009JD012520" ext-link-type="DOI">10.1029/2009JD012520</ext-link>,
2010b.</mixed-citation></ref>
      <ref id="bib1.bibx82"><label>Müller et al.(2012)Müller, Lee, Gasteiger, Tesche, Weinzierl,
Kandler, Müller, Toledano, Otto, Althausen, and Ansmann</label><mixed-citation>Müller, D., Lee, K.-H., Gasteiger, J., Tesche, M., Weinzierl, B., Kandler,
K., Müller, T., Toledano, C., Otto, S., Althausen, D., and Ansmann, A.:
Comparison of optical and microphysical properties of pure Saharan mineral
dust observed with AERONET Sun photometer, Raman lidar, and in situ
instruments during SAMUM 2006, J. Geophys. Res.-Atmos.,
117, D07211, <ext-link xlink:href="https://doi.org/10.1029/2011JD016825" ext-link-type="DOI">10.1029/2011JD016825</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bibx83"><label>Müller et al.(2013)Müller, Veselovskii, Kolgotin, Tesche,
Ansmann, and Dubovik</label><mixed-citation>Müller, D., Veselovskii, I., Kolgotin, A., Tesche, M., Ansmann, A., and
Dubovik, O.: Vertical profiles of pure dust and mixed smoke-dust plumes
inferred from inversion of multiwavelength Raman/polarization lidar data and
comparison to AERONET retrievals and in situ observations, Appl. Optics, 52,
3178–3202, <ext-link xlink:href="https://doi.org/10.1364/AO.52.003178" ext-link-type="DOI">10.1364/AO.52.003178</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx84"><label>Murayama et al.(2001)Murayama, Sugimoto, Uno, Kinoshita, Aoki,
Hagiwara, Liu, Matsui, Sakai, Shibata, Arao, Sohn, Won, Yoon, Li, Zhou, Hu,
Abo, Iokibe, Koga, and Iwasaka</label><mixed-citation>Murayama, T., Sugimoto, N., Uno, I., Kinoshita, K., Aoki, K., Hagiwara, N.,
Liu, Z., Matsui, I., Sakai, T., Shibata, T., Arao, K., Sohn, B.-J., Won,
J.-G., Yoon, S.-C., Li, T., Zhou, J., Hu, H., Abo, M., Iokibe, K., Koga, R.,
and Iwasaka, Y.: Ground-based network observation of Asian dust events of
April 1998 in east Asia, J. Geophys. Res.-Atmos., 106,
18345–18359, <ext-link xlink:href="https://doi.org/10.1029/2000JD900554" ext-link-type="DOI">10.1029/2000JD900554</ext-link>, 2001.</mixed-citation></ref>
      <ref id="bib1.bibx85"><label>Omar et al.(2009)Omar, Winker, Vaughan, Hu, Trepte, Ferrare, Lee,
Hostetler, Kittaka, Rogers, Kuehn, and Liu</label><mixed-citation>Omar, A. H., Winker, D. M., Vaughan, M. A., Hu, Y., Trepte, C. R., Ferrare,
R. A., Lee, K.-P., Hostetler, C. A., Kittaka, C., Rogers, R. R., Kuehn,
R. E., and Liu, Z.: The CALIPSO Automated Aerosol Classification and Lidar
Ratio Selection Algorithm, J. Atmos. Ocean. Tech., 26,
1994–2014, <ext-link xlink:href="https://doi.org/10.1175/2009JTECHA1231.1" ext-link-type="DOI">10.1175/2009JTECHA1231.1</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bibx86"><label>Papayannis et al.(2005)Papayannis, Balis, Amiridis, Chourdakis,
Tsaknakis, Zerefos, Castanho, Nickovic, Kazadzis, and
Grabowski</label><mixed-citation>Papayannis, A., Balis, D., Amiridis, V., Chourdakis, G., Tsaknakis, G.,
Zerefos, C., Castanho, A. D. A., Nickovic, S., Kazadzis, S., and Grabowski,
J.: Measurements of Saharan dust aerosols over the Eastern Mediterranean
using elastic backscatter-Raman lidar, spectrophotometric and satellite
observations in the frame of the EARLINET project, Atmos. Chem. Phys., 5,
2065–2079, <ext-link xlink:href="https://doi.org/10.5194/acp-5-2065-2005" ext-link-type="DOI">10.5194/acp-5-2065-2005</ext-link>, 2005.</mixed-citation></ref>
      <ref id="bib1.bibx87"><label>Preißler et al.(2011)Preißler, Wagner, Pereira, and
Guerrero-Rascado</label><mixed-citation>Preißler, J., Wagner, F., Pereira, S. N., and Guerrero-Rascado, J. L.:
Multi-instrumental observation of an exceptionally strong Saharan dust
outbreak over Portugal, J. Geophys. Res.-Atmos., 116,
D24204, <ext-link xlink:href="https://doi.org/10.1029/2011JD016527" ext-link-type="DOI">10.1029/2011JD016527</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx88"><label>Reid et al.(2003)Reid, Kinney, Westphal, Holben, Welton, Tsay,
Eleuterio, Campbell, Christopher, Colarco, Jonsson, Livingston, Maring,
Meier, Pilewskie, Prospero, Reid, Remer, Russell, Savoie, Smirnov, and
Tanré</label><mixed-citation>Reid, J. S., Kinney, J. E., Westphal, D. L., Holben, B. N., Welton, E. J.,
Tsay, S.-C., Eleuterio, D. P., Campbell, J. R., Christopher, S. A., Colarco,
P. R., Jonsson, H. H., Livingston, J. M., Maring, H. B., Meier, M. L.,
Pilewskie, P., Prospero, J. M., Reid, E. A., Remer, L. A., Russell, P. B.,
Savoie, D. L., Smirnov, A., and Tanré, D.: Analysis of measurements of
Saharan dust by airborne and ground-based remote sensing methods during the
Puerto Rico Dust Experiment (PRIDE), J. Geophys. Res.-Atmos., 108, 8586, <ext-link xlink:href="https://doi.org/10.1029/2002JD002493" ext-link-type="DOI">10.1029/2002JD002493</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bibx89"><label>Rittmeister et al.(2017)Rittmeister, Ansmann, Engelmann, Skupin,
Baars, Kanitz, and Kinne</label><mixed-citation>Rittmeister, F., Ansmann, A., Engelmann, R., Skupin, A., Baars, H., Kanitz,
T., and Kinne, S.: From the Caribbean to West Africa: Four weeks of
continuous dust and marine aerosol profiling with shipborne
polarization/Raman lidar – a contribution to SALTRACE, Atmos. Chem. Phys. Discuss.,
<ext-link xlink:href="https://doi.org/10.5194/acp-2017-130" ext-link-type="DOI">10.5194/acp-2017-130</ext-link>, in review, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx90"><label>Ryder et al.(2013)Ryder, Highwood, Rosenberg, Trembath, Brooke, Bart,
Dean, Crosier, Dorsey, Brindley, Banks, Marsham, McQuaid, Sodemann, and
Washington</label><mixed-citation>Ryder, C. L., Highwood, E. J., Rosenberg, P. D., Trembath, J., Brooke, J. K.,
Bart, M., Dean, A., Crosier, J., Dorsey, J., Brindley, H., Banks, J.,
Marsham, J. H., McQuaid, J. B., Sodemann, H., and Washington, R.: Optical
properties of Saharan dust aerosol and contribution from the coarse mode as
measured during the Fennec 2011 aircraft campaign, Atmos. Chem. Phys., 13,
303–325, <ext-link xlink:href="https://doi.org/10.5194/acp-13-303-2013" ext-link-type="DOI">10.5194/acp-13-303-2013</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx91"><label>Sakai et al.(2010)Sakai, Nagai, Zaizen, and Mano</label><mixed-citation>Sakai, T., Nagai, T., Zaizen, Y., and Mano, Y.: Backscattering linear
depolarization ratio measurements of mineral, sea-salt, and ammonium sulfate
particles simulated in a laboratory chamber, Appl. Optics, 49, 4441–4449,
<ext-link xlink:href="https://doi.org/10.1364/AO.49.004441" ext-link-type="DOI">10.1364/AO.49.004441</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bibx92"><label>Shimizu et al.(2004)Shimizu, Sugimoto, Matsui, Arao, Uno, Murayama,
Kagawa, Aoki, Uchiyama, and Yamazaki</label><mixed-citation>Shimizu, A., Sugimoto, N., Matsui, I., Arao, K., Uno, I., Murayama, T., Kagawa,
N., Aoki, K., Uchiyama, A., and Yamazaki, A.: Continuous observations of
Asian dust and other aerosols by polarization lidars in China and Japan
during ACE-Asia, J. Geophys. Res.-Atmos., 109, D19S17,
<ext-link xlink:href="https://doi.org/10.1029/2002JD003253" ext-link-type="DOI">10.1029/2002JD003253</ext-link>, 2004.</mixed-citation></ref>
      <ref id="bib1.bibx93"><label>Solomos et al.(2017)Solomos, Ansmann, Mamouri, Binietoglou, Patlakas,
Marinou, and Amiridis</label><mixed-citation>Solomos, S., Ansmann, A., Mamouri, R.-E., Binietoglou, I., Patlakas, P.,
Marinou, E., and Amiridis, V.: Remote sensing and modelling analysis of the
extreme dust storm hitting the Middle East and eastern Mediterranean in
September 2015, Atmos. Chem. Phys., 17, 4063–4079,
<ext-link xlink:href="https://doi.org/10.5194/acp-17-4063-2017" ext-link-type="DOI">10.5194/acp-17-4063-2017</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx94"><label>Stein et al.(2015)Stein, Draxler, Rolph, Stunder, Cohen, and
Ngan</label><mixed-citation>Stein, A. F., Draxler, R. R., Rolph, G. D., Stunder, B. J. B., Cohen, M. D.,
and Ngan, F.: NOAA's HYSPLIT Atmospheric Transport and Dispersion Modeling
System, B. Am. Meteorol. Soc., 96, 2059–2077,
<ext-link xlink:href="https://doi.org/10.1175/BAMS-D-14-00110.1" ext-link-type="DOI">10.1175/BAMS-D-14-00110.1</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bibx95"><label>Stevens et al.(2016)Stevens, Farrell, Hirsch, Jansen, Nuijens,
Serikov, Brügmann, Forde, Linne, Lonitz, and Prospero</label><mixed-citation>Stevens, B., Farrell, D., Hirsch, L., Jansen, F., Nuijens, L., Serikov, I.,
Brügmann, B., Forde, M., Linne, H., Lonitz, K., and Prospero, J. M.: The
Barbados Cloud Observatory: Anchoring Investigations of Clouds and
Circulation on the Edge of the ITCZ, B. Am. Meteorol.
Soc., 97, 787–801, <ext-link xlink:href="https://doi.org/10.1175/BAMS-D-14-00247.1" ext-link-type="DOI">10.1175/BAMS-D-14-00247.1</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx96"><label>Sugimoto and Lee(2006)</label><mixed-citation>Sugimoto, N. and Lee, C. H.: Characteristics of dust aerosols inferred from
lidar depolarization measurements at two wavelengths, Appl. Optics, 45,
7468–7474, <ext-link xlink:href="https://doi.org/10.1364/AO.45.007468" ext-link-type="DOI">10.1364/AO.45.007468</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bibx97"><label>Tanré et al.(2003)Tanré, Haywood, Pelon, Léon, Chatenet,
Formenti, Francis, Goloub, Highwood, and Myhre</label><mixed-citation>Tanré, D., Haywood, J., Pelon, J., Léon, J. F., Chatenet, B., Formenti, P.,
Francis, P., Goloub, P., Highwood, E. J., and Myhre, G.: Measurement and
modeling of the Saharan dust radiative impact: Overview of the Saharan Dust
Experiment (SHADE), J. Geophys. Res.-Atmos., 108,
8574, <ext-link xlink:href="https://doi.org/10.1029/2002JD003273" ext-link-type="DOI">10.1029/2002JD003273</ext-link>, 2003.</mixed-citation></ref>
      <ref id="bib1.bibx98"><label>Tesche et al.(2009)Tesche, Ansmann, Müller, Althausen, Mattis,
Heese, Freudenthaler, Wiegner, Esselborn, Pisani, and
Knippertz</label><mixed-citation>Tesche, M., Ansmann, A., Müller, D., Althausen, D., Mattis, I., Heese, B.,
Freudenthaler, V., Wiegner, M., Esselborn, M., Pisani, G., and Knippertz, P.:
Vertical profiling of Saharan dust with Raman lidars and airborne HSRL in
southern Morocco during SAMUM, Tellus B, 61, 144–164,
<ext-link xlink:href="https://doi.org/10.1111/j.1600-0889.2008.00390.x" ext-link-type="DOI">10.1111/j.1600-0889.2008.00390.x</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bibx99"><label>Tesche et al.(2011a)Tesche, Gross, Ansmann, Müller,
Althausen, Freudenthaler, and Esselborn</label><mixed-citation>Tesche, M., Gross, S., Ansmann, A., Müller, D. D., Althausen, D.,
Freudenthaler, V., and Esselborn, M.: Profiling of Saharan dust and
biomass-burning smoke with multiwavelength polarization Raman lidar at Cape
Verde, Tellus B, 63, 649–676, <ext-link xlink:href="https://doi.org/10.1111/j.1600-0889.2011.00548.x" ext-link-type="DOI">10.1111/j.1600-0889.2011.00548.x</ext-link>,
2011a.</mixed-citation></ref>
      <ref id="bib1.bibx100"><label>Tesche et al.(2011b)Tesche, Müller, Gross, Ansmann,
Althausen, Freudenthaler, Weinzierl, Veira, and Petzold</label><mixed-citation>Tesche, M., Müller, D., Gross, S., Ansmann, A., Althausen, D., Freudenthaler,
V., Weinzierl, B., Veira, A., and Petzold, A.: Optical and microphysical
properties of smoke over Cape Verde inferred from multiwavelength lidar
measurements, Tellus B, 63, 677–694, <ext-link xlink:href="https://doi.org/10.1111/j.1600-0889.2011.00549.x" ext-link-type="DOI">10.1111/j.1600-0889.2011.00549.x</ext-link>,
2011b.</mixed-citation></ref>
      <ref id="bib1.bibx101"><label>Tesche et al.(2013)Tesche, Wandinger, Ansmann, Althausen, Müller,
and Omar</label><mixed-citation>Tesche, M., Wandinger, U., Ansmann, A., Althausen, D., Müller, D., and
Omar,
A. H.: Ground-based validation of CALIPSO observations of dust and smoke in
the Cape Verde region, J. Geophys. Res.-Atmos., 118,
2889–2902, <ext-link xlink:href="https://doi.org/10.1002/jgrd.50248" ext-link-type="DOI">10.1002/jgrd.50248</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx102"><label>Toledano et al.(2009)Toledano, Wiegner, Garhammer, Seefeldner,
Gasteiger, Müeller, and Koepke</label><mixed-citation>Toledano, C., Wiegner, M., Garhammer, M., Seefeldner, M., Gasteiger, J.,
Müeller, D., and Koepke, P.: Spectral aerosol optical depth
characterization of desert dust during SAMUM 2006, Tellus B, 61, 216–228,
<ext-link xlink:href="https://doi.org/10.1111/j.1600-0889.2008.00382.x" ext-link-type="DOI">10.1111/j.1600-0889.2008.00382.x</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bibx103"><label>Toledano et al.(2011)Toledano, Wiegner, Groß, Freudenthaler,
Gasteiger, Müeller, Müeller, Schladitz, Weinzierl, Torres, and
O'Neill</label><mixed-citation>Toledano, C., Wiegner, M., Groß, S., Freudenthaler, V., Gasteiger, J.,
Müeller, D., Müeller, T., Schladitz, A., Weinzierl, B., Torres, B., and
O'Neill, N. T.: Optical properties of aerosol mixtures derived from sun-sky
radiometry during SAMUM-2, Tellus B, 63, 635–648,
<ext-link xlink:href="https://doi.org/10.1111/j.1600-0889.2011.00573.x" ext-link-type="DOI">10.1111/j.1600-0889.2011.00573.x</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bibx104"><label>Veselovskii et al.(2010)Veselovskii, Dubovik, Kolgotin, Lapyonok,
Di Girolamo, Summa, Whiteman, Mishchenko, and Tanré</label><mixed-citation>Veselovskii, I., Dubovik, O., Kolgotin, A., Lapyonok, T., Di Girolamo, P.,
Summa, D., Whiteman, D. N., Mishchenko, M., and Tanré, D.: Application of
randomly oriented spheroids for retrieval of dust particle parameters from
multiwavelength lidar measurements, J. Geophys. Res.-Atmos., 115, D21203, <ext-link xlink:href="https://doi.org/10.1029/2010JD014139" ext-link-type="DOI">10.1029/2010JD014139</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bibx105"><label>Veselovskii et al.(2016)Veselovskii, Goloub, Podvin, Bovchaliuk,
Derimian, Augustin, Fourmentin, Tanre, Korenskiy, Whiteman, Diallo, Ndiaye,
Kolgotin, and Dubovik</label><mixed-citation>Veselovskii, I., Goloub, P., Podvin, T., Bovchaliuk, V., Derimian, Y.,
Augustin, P., Fourmentin, M., Tanre, D., Korenskiy, M., Whiteman, D. N.,
Diallo, A., Ndiaye, T., Kolgotin, A., and Dubovik, O.: Retrieval of optical
and physical properties of African dust from multiwavelength Raman lidar
measurements during the SHADOW campaign in Senegal, Atmos. Chem. Phys., 16,
7013–7028, <ext-link xlink:href="https://doi.org/10.5194/acp-16-7013-2016" ext-link-type="DOI">10.5194/acp-16-7013-2016</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bibx106"><label>Volten et al.(2001)Volten, Muñoz, Rol, de Haan, Vassen, Hovenier,
Muinonen, and Nousiainen</label><mixed-citation>Volten, H., Muñoz, O., Rol, E., de Haan, J. F., Vassen, W., Hovenier,
J. W.,
Muinonen, K., and Nousiainen, T.: Scattering matrices of mineral aerosol
particles at 441.6 nm and 632.8 nm, J. Geophys. Res.-Atmos., 106, 17375–17401, <ext-link xlink:href="https://doi.org/10.1029/2001JD900068" ext-link-type="DOI">10.1029/2001JD900068</ext-link>, 2001.</mixed-citation></ref>
      <ref id="bib1.bibx107"><label>Wagner et al.(2013)Wagner, Ansmann, Wandinger, Seifert, Schwarz,
Tesche, Chaikovsky, and Dubovik</label><mixed-citation>Wagner, J., Ansmann, A., Wandinger, U., Seifert, P., Schwarz, A., Tesche, M.,
Chaikovsky, A., and Dubovik, O.: Evaluation of the Lidar/Radiometer Inversion
Code (LIRIC) to determine microphysical properties of volcanic and desert
dust, Atmos. Meas. Tech., 6, 1707–1724,
<ext-link xlink:href="https://doi.org/10.5194/amt-6-1707-2013" ext-link-type="DOI">10.5194/amt-6-1707-2013</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bibx108"><label>Wandinger and Ansmann(2002)</label><mixed-citation>Wandinger, U. and Ansmann, A.: Experimental Determination of the Lidar Overlap
Profile with Raman Lidar, Appl. Optics, 41, 511–514,
<ext-link xlink:href="https://doi.org/10.1364/AO.41.000511" ext-link-type="DOI">10.1364/AO.41.000511</ext-link>, 2002.
</mixed-citation></ref><?xmltex \hack{\newpage}?>
      <ref id="bib1.bibx109"><label>Wandinger et al.(2002)Wandinger, Müller, Böckmann, Althausen,
Matthias, Bösenberg, Weiß, Fiebig, Wendisch, Stohl, and
Ansmann</label><mixed-citation>Wandinger, U., Müller, D., Böckmann, C., Althausen, D., Matthias, V.,
Bösenberg, J., Weiß, V., Fiebig, M., Wendisch, M., Stohl, A., and Ansmann,
A.: Optical and microphysical characterization of biomass- burning and
industrial-pollution aerosols from- multiwavelength lidar and aircraft
measurements, J. Geophys. Res.-Atmos., 107, 8125, <ext-link xlink:href="https://doi.org/10.1029/2000JD000202" ext-link-type="DOI">10.1029/2000JD000202</ext-link>, 2002.</mixed-citation></ref>
      <ref id="bib1.bibx110"><label>Weinzierl et al.(2017)</label><mixed-citation>Weinzierl, B., Ansmann, A., Prospero, J. M., Althausen, D., Benker, N., Chouza,
F., Dollner, M., Farrell, D., Fomba, W. K., Freudenthaler, V., Gasteiger, J.,
Groß, S., Haarig, M., Heinold, B., Kandler, K., Kristensen, T. B.,
Mayol-Bracero, O. L., Müller, T., Reitebuch, O., Sauer, D., Schäfler, A.,
Schepanski, K., Spanu, A., Tegen, I., Toledano, C., and Walser, A.: The
Saharan Aerosol Long-range Transport and Aerosol-Cloud-Interaction Experiment
(SALTRACE): overview and selected highlights, B. Am.
Meteorol. Soc., 98, 1427–1451, <ext-link xlink:href="https://doi.org/10.1175/BAMS-D-15-00142.1" ext-link-type="DOI">10.1175/BAMS-D-15-00142.1</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bibx111"><label>West et al.(1997)West, Doose, Eibl, Tomasko, and
Mishchenko</label><mixed-citation>West, R. A., Doose, L. R., Eibl, A. M., Tomasko, M. G., and Mishchenko, M. I.:
Laboratory measurements of mineral dust scattering phase function and linear
polarization, J. Geophys. Res.-Atmos., 102,
16871–16881, <ext-link xlink:href="https://doi.org/10.1029/96JD02584" ext-link-type="DOI">10.1029/96JD02584</ext-link>, 1997.</mixed-citation></ref>
      <ref id="bib1.bibx112"><label>Wex et al.(2016)Wex, Dieckmann, Roberts, Conrath, Izaguirre,
Hartmann, Herenz, Schäfer, Ditas, Schmeissner, Henning, Wehner, Siebert,
and Stratmann</label><mixed-citation>Wex, H., Dieckmann, K., Roberts, G. C., Conrath, T., Izaguirre, M. A.,
Hartmann, S., Herenz, P., Schäfer, M., Ditas, F., Schmeissner, T.,
Henning, S., Wehner, B., Siebert, H., and Stratmann, F.: Aerosol arriving on
the Caribbean island of Barbados: physical properties and origin, Atmos.
Chem. Phys., 16, 14107–14130, <ext-link xlink:href="https://doi.org/10.5194/acp-16-14107-2016" ext-link-type="DOI">10.5194/acp-16-14107-2016</ext-link>,
2016.</mixed-citation></ref>
      <ref id="bib1.bibx113"><label>Wiegner et al.(2009)Wiegner, Gasteiger, Kandler, Weinzierl, Rasp,
Esselborn, Freudenthaler, Heese, Toledano, Tesche, and
Althausen</label><mixed-citation>Wiegner, M., Gasteiger, J., Kandler, K., Weinzierl, B., Rasp, K., Esselborn,
M., Freudenthaler, V., Heese, B., Toledano, C., Tesche, M., and Althausen,
D.: Numerical simulations of optical properties of Saharan dust aerosols with
emphasis on lidar applications, Tellus B, 61, 180–194,
<ext-link xlink:href="https://doi.org/10.1111/j.1600-0889.2008.00381.x" ext-link-type="DOI">10.1111/j.1600-0889.2008.00381.x</ext-link>, 2009.</mixed-citation></ref>

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

    </app></app-group></back>
    <!--<article-title-html>Triple-wavelength depolarization-ratio profiling of Saharan dust over Barbados during SALTRACE in 2013 and 2014</article-title-html>
<abstract-html><p class="p">Triple-wavelength polarization lidar measurements in Saharan dust layers were
performed at Barbados (13.1° N, 59.6° W), 5000–8000 km
west of the Saharan dust sources, in the framework of the Saharan Aerosol
Long-range Transport and Aerosol-Cloud-Interaction Experiment (SALTRACE-1,
June–July 2013, SALTRACE-3, June–July 2014). Three case studies are
discussed. High quality was achieved by comparing the dust linear
depolarization ratio profiles measured at 355, 532, and 1064 nm with
respective dual-wavelength (355, 532 nm) depolarization ratio profiles
measured with a reference lidar. A unique case of long-range transported
dust over more than 12 000 km is
presented. Saharan dust plumes crossing Barbados were measured with an
airborne triple-wavelength polarization lidar over Missouri in the midwestern
United States 7 days later. Similar dust optical properties and
depolarization features were observed over both sites indicating almost
unchanged dust properties within this 1 week of travel from the Caribbean to
the United States. The main results of the triple-wavelength polarization
lidar observations in the Caribbean in the summer seasons of 2013 and 2014
are summarized. On average, the particle linear depolarization ratios for
aged Saharan dust were found to be 0.252 ± 0.030 at 355 nm,
0.280 ± 0.020 at 532 nm, and 0.225 ± 0.022 at 1064 nm after
approximately 1 week of transport over the tropical Atlantic. Based on
published simulation studies we present an attempt to explain the spectral
features of the depolarization ratio of irregularly shaped mineral dust
particles, and conclude that most of the irregularly shaped coarse-mode dust
particles (particles with diameters  &gt;  1 µm) have sizes around
1.5–2 µm. The SALTRACE results are also set into the context of
the SAMUM-1 (Morocco, 2006) and SAMUM-2 (Cabo Verde, 2008) depolarization
ratio studies. Again, only minor changes in the dust depolarization
characteristics were observed on the way from the Saharan dust sources
towards the Caribbean.</p></abstract-html>
<ref-html id="bib1.bib1"><label>AERONET(2016)</label><mixed-citation>
AERONET: Aerosol Robotic Network aerosol data base, available at:
<a href="https://aeronet.gsfc.nasa.gov/" target="_blank">https://aeronet.gsfc.nasa.gov/</a>, last access: 20 December 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>Althausen et al.(2000)Althausen, Müller, Ansmann, Wandinger, Hube,
Clauder, and Zörner</label><mixed-citation>
Althausen, D., Müller, D., Ansmann, A., Wandinger, U., Hube, H., Clauder,
E., and Zörner, S.: Scanning 6-Wavelength 11-Channel Aerosol Lidar, J.
Atmos. Ocean. Tech., 17, 1469–1482,
<a href="https://doi.org/10.1175/1520-0426(2000)017&lt;1469:SWCAL&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0426(2000)017&lt;1469:SWCAL&gt;2.0.CO;2</a>, 2000.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>Amiridis et al.(2013)Amiridis, Wandinger, Marinou, Giannakaki,
Tsekeri, Basart, Kazadzis, Gkikas, Taylor, Baldasano, and
Ansmann</label><mixed-citation>
Amiridis, V., Wandinger, U., Marinou, E., Giannakaki, E., Tsekeri, A.,
Basart, S., Kazadzis, S., Gkikas, A., Taylor, M., Baldasano, J., and Ansmann,
A.: Optimizing CALIPSO Saharan dust retrievals, Atmos. Chem. Phys., 13,
12089–12106, <a href="https://doi.org/10.5194/acp-13-12089-2013" target="_blank">https://doi.org/10.5194/acp-13-12089-2013</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>Ansmann et al.(1992)Ansmann, Wandinger, Riebesell, Weitkamp, and
Michaelis</label><mixed-citation>
Ansmann, A., Wandinger, U., Riebesell, M., Weitkamp, C., and Michaelis, W.:
Independent measurement of extinction and backscatter profiles in cirrus
clouds by using a combined Raman elastic-backscatter lidar, Appl. Optics, 31,
7113–7131, <a href="https://doi.org/10.1364/AO.31.007113" target="_blank">https://doi.org/10.1364/AO.31.007113</a>, 1992.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>Ansmann et al.(2002)Ansmann, Wagner, Müller, Althausen, Herber, von
Hoyningen-Huene, and Wandinger</label><mixed-citation>
Ansmann, A., Wagner, F., Müller, D., Althausen, D., Herber, A., von
Hoyningen-Huene, W., and Wandinger, U.: European pollution outbreaks during
ACE 2: Optical particle properties inferred from multiwavelength lidar and
star-Sun photometry, J. Geophys. Res.-Atmos., 107, AAC
8–1–AAC 8–14, <a href="https://doi.org/10.1029/2001JD001109" target="_blank">https://doi.org/10.1029/2001JD001109</a>, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>Ansmann et al.(2003)Ansmann, Bösenberg, Chaikovsky, Comerón,
Eckhardt, Eixmann, Freudenthaler, Ginoux, Komguem, Linné, Márquez,
Matthias, Mattis, Mitev, Müller, Music, Nickovic, Pelon, Sauvage,
Sobolewsky, Srivastava, Stohl, Torres, Vaughan, Wandinger, and
Wiegner</label><mixed-citation>
Ansmann, A., Bösenberg, J., Chaikovsky, A., Comerón, A., Eckhardt, S.,
Eixmann, R., Freudenthaler, V., Ginoux, P., Komguem, L., Linné, H.,
Márquez, M. A. L., Matthias, V., Mattis, I., Mitev, V., Müller, D.,
Music, S., Nickovic, S., Pelon, J., Sauvage, L., Sobolewsky, P., Srivastava,
M. K., Stohl, A., Torres, O., Vaughan, G., Wandinger, U., and Wiegner, M.:
Long-range transport of Saharan dust to northern Europe: The 11–16 October
2001 outbreak observed with EARLINET, J. Geophys. Res.-Atmos., 108, 4783, <a href="https://doi.org/10.1029/2003JD003757" target="_blank">https://doi.org/10.1029/2003JD003757</a>, 2003.
</mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>Ansmann et al.(2009)Ansmann, Tesche, Knippertz, Bierwirth, Althausen,
Müller, and Schulz</label><mixed-citation>
Ansmann, A., Tesche, M., Knippertz, P., Bierwirth, E., Althausen, D., Müller,
D., and Schulz, O.: Vertical profiling of convective dust plumes in southern
Morocco during SAMUM, Tellus B, 61, 340–353,
<a href="https://doi.org/10.1111/j.1600-0889.2008.00384.x" target="_blank">https://doi.org/10.1111/j.1600-0889.2008.00384.x</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>Ansmann et al.(2011)Ansmann, Petzold, Kandler, Tegen, Wendisch,
Müller, Weinzierl, Müller, and Heintzenberg</label><mixed-citation>
Ansmann, A., Petzold, A., Kandler, K., Tegen, I., Wendisch, M., Müller, D.,
Weinzierl, B., Müller, T., and Heintzenberg, J.: Saharan Mineral Dust
Experiments SAMUM-1 and SAMUM-2: what have we learned?, Tellus B, 63,
403–429, <a href="https://doi.org/10.1111/j.1600-0889.2011.00555.x" target="_blank">https://doi.org/10.1111/j.1600-0889.2011.00555.x</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>Ansmann et al.(2017)Ansmann, Rittmeister, Engelmann, Basart,
Benedetti, Spyrou, Skupin, Baars, Seifert, Senf, and Kanitz</label><mixed-citation>
Ansmann, A., Rittmeister, F., Engelmann, R., Basart, S., Benedetti, A.,
Spyrou, C., Skupin, A., Baars, H., Seifert, P., Senf, F., and Kanitz, T.:
Profiling of Saharan dust from the Caribbean to West Africa, Part 2:
Shipborne lidar measurements versus forecasts, Atmos. Chem. Phys. Discuss.,
<a href="https://doi.org/10.5194/acp-2017-502" target="_blank">https://doi.org/10.5194/acp-2017-502</a>, in review, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>Baars et al.(2011)Baars, Ansmann, Althausen, Engelmann, Artaxo,
Pauliquevis, and Souza</label><mixed-citation>
Baars, H., Ansmann, A., Althausen, D., Engelmann, R., Artaxo, P., Pauliquevis,
T., and Souza, R.: Further evidence for significant smoke transport from
Africa to Amazonia, Geophys. Res. Lett., 38, L20802,
<a href="https://doi.org/10.1029/2011GL049200" target="_blank">https://doi.org/10.1029/2011GL049200</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>Behrendt and Nakamura(2002)</label><mixed-citation>
Behrendt, A. and Nakamura, T.: Calculation of the calibration constant of
polarization lidar and its dependency on atmospheric temperature, Opt.
Express, 10, 805–817, <a href="https://doi.org/10.1364/OE.10.000805" target="_blank">https://doi.org/10.1364/OE.10.000805</a>,
2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>Biele et al.(2000)Biele, Beyerle, and Baumgarten</label><mixed-citation>
Biele, J., Beyerle, G., and Baumgarten, G.: Polarization lidar: Corrections of
instrumental effects, Opt. Express, 7, 427–435, <a href="https://doi.org/10.1364/OE.7.000427" target="_blank">https://doi.org/10.1364/OE.7.000427</a>,
2000.
</mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>Bovchaliuk et al.(2016)Bovchaliuk, Goloub, Podvin, Veselovskii,
Tanre, Chaikovsky, Dubovik, Mortier, Lopatin, Korenskiy, and
Victori</label><mixed-citation>
Bovchaliuk, V., Goloub, P., Podvin, T., Veselovskii, I., Tanre, D.,
Chaikovsky, A., Dubovik, O., Mortier, A., Lopatin, A., Korenskiy, M., and
Victori, S.: Comparison of aerosol properties retrieved using GARRLiC, LIRIC,
and Raman algorithms applied to multi-wavelength lidar and sun/sky-photometer
data, Atmos. Meas. Tech., 9, 3391–3405,
<a href="https://doi.org/10.5194/amt-9-3391-2016" target="_blank">https://doi.org/10.5194/amt-9-3391-2016</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>Bravo-Aranda et al.(2016)Bravo-Aranda, Belegante, Freudenthaler,
Alados-Arboledas, Nicolae, Granados-Muñoz, Guerrero-Rascado, Amodeo,
D'Amico, Engelmann, Pappalardo, Kokkalis, Mamouri, Papayannis,
Navas-Guzmán, Olmo, Wandinger, Amato, and Haeffelin</label><mixed-citation>
Bravo-Aranda, J. A., Belegante, L., Freudenthaler, V., Alados-Arboledas, L.,
Nicolae, D., Granados-Muñoz, M. J., Guerrero-Rascado, J. L., Amodeo, A.,
D'Amico, G., Engelmann, R., Pappalardo, G., Kokkalis, P., Mamouri, R.,
Papayannis, A., Navas-Guzmán, F., Olmo, F. J., Wandinger, U., Amato, F.,
and Haeffelin, M.: Assessment of lidar depolarization uncertainty by means of
a polarimetric lidar simulator, Atmos. Meas. Tech., 9, 4935–4953,
<a href="https://doi.org/10.5194/amt-9-4935-2016" target="_blank">https://doi.org/10.5194/amt-9-4935-2016</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>Burton et al.(2012)Burton, Ferrare, Hostetler, Hair, Rogers, Obland,
Butler, Cook, Harper, and Froyd</label><mixed-citation>
Burton, S. P., Ferrare, R. A., Hostetler, C. A., Hair, J. W., Rogers, R. R.,
Obland, M. D., Butler, C. F., Cook, A. L., Harper, D. B., and Froyd, K. D.:
Aerosol classification using airborne High Spectral Resolution Lidar
measurements – methodology and examples, Atmos. Meas. Tech., 5, 73–98,
<a href="https://doi.org/10.5194/amt-5-73-2012" target="_blank">https://doi.org/10.5194/amt-5-73-2012</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>Burton et al.(2015)Burton, Hair, Kahnert, Ferrare, Hostetler, Cook,
Harper, Berkoff, Seaman, Collins, Fenn, and Rogers</label><mixed-citation>
Burton, S. P., Hair, J. W., Kahnert, M., Ferrare, R. A., Hostetler, C. A.,
Cook, A. L., Harper, D. B., Berkoff, T. A., Seaman, S. T., Collins, J. E.,
Fenn, M. A., and Rogers, R. R.: Observations of the spectral dependence of
linear particle depolarization ratio of aerosols using NASA Langley airborne
High Spectral Resolution Lidar, Atmos. Chem. Phys., 15, 13453–13473,
<a href="https://doi.org/10.5194/acp-15-13453-2015" target="_blank">https://doi.org/10.5194/acp-15-13453-2015</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>CALIPSO(2016)</label><mixed-citation>
CALIPSO: CALIPSO/CALIOP Level 2, Lidar Aerosol Profile Data, version 3.30,
<a href="https://doi.org/10.5067/CALIOP/CALIPSO/CAL_LID_L2_05kmAPro-Prov-V3-30_L2-003.30" target="_blank">https://doi.org/10.5067/CALIOP/CALIPSO/CAL_LID_L2_05kmAPro-Prov-V3-30_L2-003.30</a>,
2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>Chaikovsky et al.(2016)Chaikovsky, Dubovik, Holben, Bril, Goloub,
Tanré, Pappalardo, Wandinger, Chaikovskaya, Denisov, Grudo, Lopatin, Karol,
Lapyonok, Amiridis, Ansmann, Apituley, Allados-Arboledas, Binietoglou,
Boselli, D'Amico, Freudenthaler, Giles, Granados-Muñoz, Kokkalis, Nicolae,
Oshchepkov, Papayannis, Perrone, Pietruczuk, Rocadenbosch, Sicard, Slutsker,
Talianu, DeTomasi, Tsekeri, Wagner, and Wang</label><mixed-citation>
Chaikovsky, A., Dubovik, O., Holben, B., Bril, A., Goloub, P., Tanré, D.,
Pappalardo, G., Wandinger, U., Chaikovskaya, L., Denisov, S., Grudo, J.,
Lopatin, A., Karol, Y., Lapyonok, T., Amiridis, V., Ansmann, A., Apituley,
A., Allados-Arboledas, L., Binietoglou, I., Boselli, A., D'Amico, G.,
Freudenthaler, V., Giles, D., Granados-Muñoz, M. J., Kokkalis, P.,
Nicolae, D., Oshchepkov, S., Papayannis, A., Perrone, M. R., Pietruczuk, A.,
Rocadenbosch, F., Sicard, M., Slutsker, I., Talianu, C., De Tomasi, F.,
Tsekeri, A., Wagner, J., and Wang, X.: Lidar-Radiometer Inversion Code
(LIRIC) for the retrieval of vertical aerosol properties from combined
lidar/radiometer data: development and distribution in EARLINET, Atmos. Meas.
Tech., 9, 1181–1205, <a href="https://doi.org/10.5194/amt-9-1181-2016" target="_blank">https://doi.org/10.5194/amt-9-1181-2016</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>Chouza et al.(2015)Chouza, Reitebuch, Groß, Rahm, Freudenthaler,
Toledano, and Weinzierl</label><mixed-citation>
Chouza, F., Reitebuch, O., Groß, S., Rahm, S., Freudenthaler, V.,
Toledano, C., and Weinzierl, B.: Retrieval of aerosol backscatter and
extinction from airborne coherent Doppler wind lidar measurements, Atmos.
Meas. Tech., 8, 2909–2926, <a href="https://doi.org/10.5194/amt-8-2909-2015" target="_blank">https://doi.org/10.5194/amt-8-2909-2015</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib20"><label>Chouza et al.(2016a)Chouza, Reitebuch, Benedetti, and
Weinzierl</label><mixed-citation>
Chouza, F., Reitebuch, O., Benedetti, A., and Weinzierl, B.: Saharan dust
long-range transport across the Atlantic studied by an airborne Doppler wind
lidar and the MACC model, Atmos. Chem. Phys., 16, 11581–11600,
<a href="https://doi.org/10.5194/acp-16-11581-2016" target="_blank">https://doi.org/10.5194/acp-16-11581-2016</a>, 2016a.
</mixed-citation></ref-html>
<ref-html id="bib1.bib21"><label>Chouza et al.(2016b)Chouza, Reitebuch, Jähn, Rahm, and
Weinzierl</label><mixed-citation>
Chouza, F., Reitebuch, O., Jähn, M., Rahm, S., and Weinzierl, B.:
Vertical wind retrieved by airborne lidar and analysis of island induced
gravity waves in combination with numerical models and in situ particle
measurements, Atmos. Chem. Phys., 16, 4675–4692,
<a href="https://doi.org/10.5194/acp-16-4675-2016" target="_blank">https://doi.org/10.5194/acp-16-4675-2016</a>, 2016b.
</mixed-citation></ref-html>
<ref-html id="bib1.bib22"><label>Colarco et al.(2003)Colarco, Toon, Reid, Livingston, Russell,
Redemann, Schmid, Maring, Savoie, Welton, Campbell, Holben, and
Levy</label><mixed-citation>
Colarco, P. R., Toon, O. B., Reid, J. S., Livingston, J. M., Russell, P. B.,
Redemann, J., Schmid, B., Maring, H. B., Savoie, D., Welton, E. J., Campbell,
J. R., Holben, B. N., and Levy, R.: Saharan dust transport to the Caribbean
during PRIDE: 2. Transport, vertical profiles, and deposition in simulations
of in situ and remote sensing observations, J. Geophys. Res.-Atmos., 108, 8590, <a href="https://doi.org/10.1029/2002JD002659" target="_blank">https://doi.org/10.1029/2002JD002659</a>, 2003.
</mixed-citation></ref-html>
<ref-html id="bib1.bib23"><label>Curtis et al.(2008)Curtis, Meland, Aycibin, Arnold, Grassian, Young,
and Kleiber</label><mixed-citation>
Curtis, D. B., Meland, B., Aycibin, M., Arnold, N. P., Grassian, V. H.,
Young, M. A., and Kleiber, P. D.: A laboratory investigation of light
scattering from representative components of mineral dust aerosol at a
wavelength of 550 nm, J. Geophys. Res.-Atmos., 113, D08210,
<a href="https://doi.org/10.1029/2007JD009387" target="_blank">https://doi.org/10.1029/2007JD009387</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib24"><label>David et al.(2013)David, Thomas, Nousiainen, Miffre, and
Rairoux</label><mixed-citation>
David, G., Thomas, B., Nousiainen, T., Miffre, A., and Rairoux, P.:
Retrieving simulated volcanic, desert dust and sea-salt particle properties
from two/three-component particle mixtures using UV-VIS polarization lidar
and T matrix, Atmos. Chem. Phys., 13, 6757–6776,
<a href="https://doi.org/10.5194/acp-13-6757-2013" target="_blank">https://doi.org/10.5194/acp-13-6757-2013</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib25"><label>Dawson et al.(2015)Dawson, Meskhidze, Josset, and
Gassó</label><mixed-citation>
Dawson, K. W., Meskhidze, N., Josset, D., and Gassó, S.: Spaceborne
observations of the lidar ratio of marine aerosols, Atmos. Chem. Phys., 15,
3241–3255, <a href="https://doi.org/10.5194/acp-15-3241-2015" target="_blank">https://doi.org/10.5194/acp-15-3241-2015</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib26"><label>di Sarra et al.(2001)</label><mixed-citation>
di Sarra, A., Di Iorio, T., Cacciani, M., Fiocco, G., and Fuà, D.:
Saharan
dust profiles measured by lidar at Lampedusa, J. Geophys.
Res.-Atmos., 106, 10335–10347, <a href="https://doi.org/10.1029/2000JD900734" target="_blank">https://doi.org/10.1029/2000JD900734</a>, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib27"><label>Dubovik et al.(2006)</label><mixed-citation>
Dubovik, O., Sinyuk, A., Lapyonok, T., Holben, B. N., Mishchenko, M., Yang, P.,
Eck, T. F., Volten, H., Muñoz, O., Veihelmann, B., van der Zande, W. J.,
Leon, J.-F., Sorokin, M., and Slutsker, I.: Application of spheroid models to
account for aerosol particle nonsphericity in remote sensing of desert dust,
J. Geophys. Res.-Atmos., 111, D11208,
<a href="https://doi.org/10.1029/2005JD006619" target="_blank">https://doi.org/10.1029/2005JD006619</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib28"><label>Engelmann et al.(2016)Engelmann, Kanitz, Baars, Heese, Althausen,
Skupin, Wandinger, Komppula, Stachlewska, Amiridis, Marinou, Mattis, Linné,
and Ansmann</label><mixed-citation>
Engelmann, R., Kanitz, T., Baars, H., Heese, B., Althausen, D., Skupin, A.,
Wandinger, U., Komppula, M., Stachlewska, I. S., Amiridis, V., Marinou, E.,
Mattis, I., Linné, H., and Ansmann, A.: The automated multiwavelength
Raman polarization and water-vapor lidar Polly<sup>XT</sup>: the neXT
generation, Atmos. Meas. Tech., 9, 1767–1784,
<a href="https://doi.org/10.5194/amt-9-1767-2016" target="_blank">https://doi.org/10.5194/amt-9-1767-2016</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib29"><label>Flamant et al.(1998)Flamant, Trouillet, Chazette, and
Pelon</label><mixed-citation>
Flamant, C., Trouillet, V., Chazette, P., and Pelon, J.: Wind speed dependence
of atmospheric boundary layer optical properties and ocean surface
reflectance as observed by airborne backscatter lidar, J. Geophys.
Res.-Oceans, 103, 25137–25158, <a href="https://doi.org/10.1029/98JC02284" target="_blank">https://doi.org/10.1029/98JC02284</a>, 1998.
</mixed-citation></ref-html>
<ref-html id="bib1.bib30"><label>Franke et al.(2003)Franke, Ansmann, Müller, Althausen, Venkataraman,
Reddy, Wagner, and Scheele</label><mixed-citation>
Franke, K., Ansmann, A., Müller, D., Althausen, D., Venkataraman, C.,
Reddy, M. S., Wagner, F., and Scheele, R.: Optical properties of the
Indo-Asian haze layer over the tropical Indian Ocean, J. Geophys.
Res.-Atmos., 108, 4059, <a href="https://doi.org/10.1029/2002JD002473" target="_blank">https://doi.org/10.1029/2002JD002473</a>, 2003.
</mixed-citation></ref-html>
<ref-html id="bib1.bib31"><label>Freudenthaler(2008)</label><mixed-citation>
Freudenthaler, V.: The telecover test: A quality assurance tool for the optical
part of a lidar system, in: 24th International Laser Radar Conference, 23–27 June 2008,
Boulder, CO, USA, S01P-3, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib32"><label>Freudenthaler(2016)</label><mixed-citation>
Freudenthaler, V.: About the effects of polarising optics on lidar signals
and the Δ90 calibration, Atmos. Meas. Tech., 9, 4181–4255,
<a href="https://doi.org/10.5194/amt-9-4181-2016" target="_blank">https://doi.org/10.5194/amt-9-4181-2016</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib33"><label>Freudenthaler et al.(2009)Freudenthaler, Esselborn, Wiegner, Heese,
Tesche, Ansmann, Müller, Althausen, Wirth, Fix, Ehret, Knippertz, Toledano,
Gasteiger, Garhammer, and Seefeldner</label><mixed-citation>
Freudenthaler, V., Esselborn, M., Wiegner, M., Heese, B., Tesche, M., Ansmann,
A., Müller, D., Althausen, D., Wirth, M., Fix, A., Ehret, G., Knippertz,
P., Toledano, C., Gasteiger, J., Garhammer, M., and Seefeldner, M.:
Depolarization ratio profiling at several wavelengths in pure Saharan dust
during SAMUM 2006, Tellus B, 61, 165–179,
<a href="https://doi.org/10.1111/j.1600-0889.2008.00396.x" target="_blank">https://doi.org/10.1111/j.1600-0889.2008.00396.x</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib34"><label>Freudenthaler et al.(2016)Freudenthaler, Seefeldner, Groß, and
Wandinger</label><mixed-citation>
Freudenthaler, V., Seefeldner, M., Groß, S., and Wandinger, U.: Accuracy of
Linear Depolarisation Ratios in Clean Air Ranges Measured with POLIS-6 at 355
and 532 NM, EPJ Web of Conferences, 119, 25013,
<a href="https://doi.org/10.1051/epjconf/201611925013" target="_blank">https://doi.org/10.1051/epjconf/201611925013</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib35"><label>Garimella et al.(2014)Garimella, Huang, Seewald, and
Cziczo</label><mixed-citation>
Garimella, S., Huang, Y.-W., Seewald, J. S., and Cziczo, D. J.: Cloud
condensation nucleus activity comparison of dry- and wet-generated mineral
dust aerosol: the significance of soluble material, Atmos. Chem. Phys., 14,
6003–6019, <a href="https://doi.org/10.5194/acp-14-6003-2014" target="_blank">https://doi.org/10.5194/acp-14-6003-2014</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib36"><label>Gasteiger and Freudenthaler(2014)</label><mixed-citation>
Gasteiger, J. and Freudenthaler, V.: Benefit of depolarization ratio at
<i>λ</i>  =  1064 nm for the retrieval of the aerosol microphysics from
lidar measurements, Atmos. Meas. Tech., 7, 3773–3781,
<a href="https://doi.org/10.5194/amt-7-3773-2014" target="_blank">https://doi.org/10.5194/amt-7-3773-2014</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib37"><label>Gasteiger et al.(2011)Gasteiger, Wiegner, Groß, Freudenthaler,
Toledano, Tesche, and Kandler</label><mixed-citation>
Gasteiger, J., Wiegner, M., Groß, S., Freudenthaler, V., Toledano, C.,
Tesche, M., and Kandler, K.: Modelling lidar-relevant optical properties of
complex mineral dust aerosols, Tellus B, 63, 725–741,
<a href="https://doi.org/10.1111/j.1600-0889.2011.00559.x" target="_blank">https://doi.org/10.1111/j.1600-0889.2011.00559.x</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib38"><label>Gasteiger et al.(2017)Gasteiger, Groß, Sauer, Haarig, Ansmann,
and Weinzierl</label><mixed-citation>
Gasteiger, J., Groß, S., Sauer, D., Haarig, M., Ansmann, A., and
Weinzierl, B.: Particle settling and vertical mixing in the Saharan Air Layer
as seen from an integrated model, lidar, and in situ perspective, Atmos.
Chem. Phys., 17, 297–311, <a href="https://doi.org/10.5194/acp-17-297-2017" target="_blank">https://doi.org/10.5194/acp-17-297-2017</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib39"><label>Gimmestad(2008)</label><mixed-citation>
Gimmestad, G. G.: Reexamination of depolarization in lidar measurements, Appl.
Optics, 47, 3795–3802, <a href="https://doi.org/10.1364/AO.47.003795" target="_blank">https://doi.org/10.1364/AO.47.003795</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib40"><label>Gobbi(1998)</label><mixed-citation>
Gobbi, G. P.: Polarization lidar returns from aerosols and thin clouds: a
framework for the analysis, Appl. Optics, 37, 5505–5508,
<a href="https://doi.org/10.1364/AO.37.005505" target="_blank">https://doi.org/10.1364/AO.37.005505</a>,1998.
</mixed-citation></ref-html>
<ref-html id="bib1.bib41"><label>Gobbi et al.(2000)Gobbi, Barnaba, Giorgi, and Santacasa</label><mixed-citation>
Gobbi, G. P., Barnaba, F., Giorgi, R., and Santacasa, A.: Altitude-resolved
properties of a Saharan dust event over the Mediterranean, Atmos. Environ., 34, 5119–5127,
<a href="https://doi.org/10.1016/S1352-2310(00)00194-1" target="_blank">https://doi.org/10.1016/S1352-2310(00)00194-1</a>,
2000.
</mixed-citation></ref-html>
<ref-html id="bib1.bib42"><label>Groß et al.(2011a)Groß, Gasteiger,
Freudenthaler, Wiegner, Geiß, Schladitz, Toledano, Kandler, Tesche,
Ansmann, and Wiedensohler</label><mixed-citation>
Groß, S., Gasteiger, J., Freudenthaler, V., Wiegner, M., Geiß, A.,
Schladitz, A., Toledano, C., Kandler, K., Tesche, M., Ansmann, A., and
Wiedensohler, A.: Characterization of the planetary boundary layer during
SAMUM-2 by means of lidar measurements, Tellus B, 63, 695–705,
<a href="https://doi.org/10.1111/j.1600-0889.2011.00557.x" target="_blank">https://doi.org/10.1111/j.1600-0889.2011.00557.x</a>, 2011a.
</mixed-citation></ref-html>
<ref-html id="bib1.bib43"><label>Groß et al.(2011b)Groß, Tesche, Freudenthaler,
Toledano, Wiegner, Ansmann, Althausen, and Seefeldner</label><mixed-citation>
Groß, S., Tesche, M., Freudenthaler, V., Toledano, C., Wiegner, M.,
Ansmann, A., Althausen, D., and Seefeldner, M.: Characterization of Saharan
dust, marine aerosols and mixtures of biomass-burning aerosols and dust by
means of multi-wavelength depolarization and Raman lidar measurements during
SAMUM 2, Tellus B, 63, 706–724, <a href="https://doi.org/10.1111/j.1600-0889.2011.00556.x" target="_blank">https://doi.org/10.1111/j.1600-0889.2011.00556.x</a>,
2011b.
</mixed-citation></ref-html>
<ref-html id="bib1.bib44"><label>Groß et al.(2015)Groß, Freudenthaler, Schepanski, Toledano,
Schäfler, Ansmann, and Weinzierl</label><mixed-citation>
Groß, S., Freudenthaler, V., Schepanski, K., Toledano, C., Schäfler,
A., Ansmann, A., and Weinzierl, B.: Optical properties of long-range
transported Saharan dust over Barbados as measured by dual-wavelength
depolarization Raman lidar measurements, Atmos. Chem. Phys., 15,
11067–11080, <a href="https://doi.org/10.5194/acp-15-11067-2015" target="_blank">https://doi.org/10.5194/acp-15-11067-2015</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib45"><label>Groß et al.(2016)Groß, Gasteiger, Freudenthaler, Müller,
Sauer, Toledano, and Ansmann</label><mixed-citation>
Groß, S., Gasteiger, J., Freudenthaler, V., Müller, T., Sauer, D.,
Toledano, C., and Ansmann, A.: Saharan dust contribution to the Caribbean
summertime boundary layer – a lidar study during SALTRACE, Atmos. Chem.
Phys., 16, 11535–11546, <a href="https://doi.org/10.5194/acp-16-11535-2016" target="_blank">https://doi.org/10.5194/acp-16-11535-2016</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib46"><label>Haarig et al.(2016a)Haarig, Althausen, Ansmann, Klepel,
Baars, Engelmann, Groß, and Freudenthaler</label><mixed-citation>
Haarig, M., Althausen, D., Ansmann, A., Klepel, A., Baars, H., Engelmann, R.,
Groß, S., and Freudenthaler, V.: Measurement of the Linear Depolarization
Ratio of Aged Dust at Three Wavelengths (355, 532 and 1064 nm) Simultaneously
over Barbados, EPJ Web of Conferences, 119, 18009,
<a href="https://doi.org/10.1051/epjconf/201611918009" target="_blank">https://doi.org/10.1051/epjconf/201611918009</a>, 2016a.
</mixed-citation></ref-html>
<ref-html id="bib1.bib47"><label>Haarig et al.(2016b)Haarig, Engelmann, Ansmann,
Veselovskii, Whiteman, and Althausen</label><mixed-citation>
Haarig, M., Engelmann, R., Ansmann, A., Veselovskii, I., Whiteman, D. N., and
Althausen, D.: 1064 nm rotational Raman lidar for particle extinction and
lidar-ratio profiling: cirrus case study, Atmos. Meas. Tech., 9, 4269–4278,
<a href="https://doi.org/10.5194/amt-9-4269-2016" target="_blank">https://doi.org/10.5194/amt-9-4269-2016</a>, 2016b.
</mixed-citation></ref-html>
<ref-html id="bib1.bib48"><label>Haarig et al.(2017)Haarig, Ansmann, Gasteiger, Kandler, Althausen,
Baars, and Farrell</label><mixed-citation>
Haarig, M., Ansmann, A., Gasteiger, J., Kandler, K., Althausen, D., Baars,
H., and Farrell, D. A.: Dry versus wet marine particle optical properties: RH
dependence of depolarization ratio, backscatter and extinction from
multiwavelength lidar measurements during SALTRACE, Atmos. Chem. Phys.
Discuss., <a href="https://doi.org/10.5194/acp-2017-545" target="_blank">https://doi.org/10.5194/acp-2017-545</a>, in review, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib49"><label>Haywood et al.(2008)Haywood, Pelon, Formenti, Bharmal, Brooks, Capes,
Chazette, Chou, Christopher, Coe, Cuesta, Derimian, Desboeufs, Greed,
Harrison, Heese, Highwood, Johnson, Mallet, Marticorena, Marsham, Milton,
Myhre, Osborne, Parker, Rajot, Schulz, Slingo, Tanré, and
Tulet</label><mixed-citation>
Haywood, J. M., Pelon, J., Formenti, P., Bharmal, N., Brooks, M., Capes, G.,
Chazette, P., Chou, C., Christopher, S., Coe, H., Cuesta, J., Derimian, Y.,
Desboeufs, K., Greed, G., Harrison, M., Heese, B., Highwood, E. J., Johnson,
B., Mallet, M., Marticorena, B., Marsham, J., Milton, S., Myhre, G., Osborne,
S. R., Parker, D. J., Rajot, J.-L., Schulz, M., Slingo, A., Tanré, D., and
Tulet, P.: Overview of the Dust and Biomass-burning Experiment and African
Monsoon Multidisciplinary Analysis Special Observing Period-0, J.
Geophys. Res.-Atmos., 113, D00C17, <a href="https://doi.org/10.1029/2008JD010077" target="_blank">https://doi.org/10.1029/2008JD010077</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib50"><label>Heinold et al.(2011)Heinold, Tegen, Schepanski, Tesche, Esselborn,
Freudenthaler, Groß, Kandler, Knippertz, Müeller, Schladitz, Toledano,
Weinzierl, Ansmann, Althausen, Müller, Petzold, and
Wiedensohler</label><mixed-citation>
Heinold, B., Tegen, I., Schepanski, K., Tesche, M., Esselborn, M.,
Freudenthaler, V., Groß, S., Kandler, K., Knippertz, P., Müeller, D.,
Schladitz, A., Toledano, C., Weinzierl, B., Ansmann, A., Althausen, D.,
Müller, T., Petzold, A., and Wiedensohler, A.: Regional modelling of
Saharan dust and biomass-burning smoke, Tellus B, 63, 781–799,
<a href="https://doi.org/10.1111/j.1600-0889.2011.00570.x" target="_blank">https://doi.org/10.1111/j.1600-0889.2011.00570.x</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib51"><label>Heintzenberg(2009)</label><mixed-citation>
Heintzenberg, J.: The SAMUM-1 experiment over Southern Morocco: overview and
introduction, Tellus B, 61, 2–11, <a href="https://doi.org/10.1111/j.1600-0889.2008.00403.x" target="_blank">https://doi.org/10.1111/j.1600-0889.2008.00403.x</a>,
2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib52"><label>Hofer et al.(2017)Hofer, Althausen, Abdullaev, Makhmudov, Nazarov,
Schettler, Engelmann, Baars, Fomba, Müller, Heinold, Kandler, and
Ansmann</label><mixed-citation>
Hofer, J., Althausen, D., Abdullaev, S. F., Makhmudov, A. N., Nazarov, B. I.,
Schettler, G., Engelmann, R., Baars, H., Fomba, K. W., Müller, K.,
Heinold, B., Kandler, K., and Ansmann, A.: Long-term profiling of mineral
dust and pollution aerosol with multiwavelength polarization/Raman lidar at
the Central Asian site of Dushanbe, Tajikistan: Case studies, Atmos. Chem.
Phys. Discuss., <a href="https://doi.org/10.5194/acp-2017-559" target="_blank">https://doi.org/10.5194/acp-2017-559</a>, in review, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib53"><label>Holben et al.(1998)Holben, Eck, Slutsker, Tanré, Buis, Setzer,
Vermote, Reagan, Kaufman, Nakajima, Lavenu, Jankowiak, and
Smirnov</label><mixed-citation>
Holben, B., Eck, T., Slutsker, I., Tanré, D., Buis, J., Setzer, A.,
Vermote,
E., Reagan, J., Kaufman, Y., Nakajima, T., Lavenu, F., Jankowiak, I., and
Smirnov, A.: AERONET – A Federated Instrument Network and Data Archive for
Aerosol Characterization, Remote Sens. Environ., 66, 1–16,
<a href="https://doi.org/10.1016/S0034-4257(98)00031-5" target="_blank">https://doi.org/10.1016/S0034-4257(98)00031-5</a>, 1998.
</mixed-citation></ref-html>
<ref-html id="bib1.bib54"><label>Huebert et al.(2003)Huebert, Bates, Russell, Shi, Kim, Kawamura,
Carmichael, and Nakajima</label><mixed-citation>
Huebert, B. J., Bates, T., Russell, P. B., Shi, G., Kim, Y. J., Kawamura, K.,
Carmichael, G., and Nakajima, T.: An overview of ACE-Asia: Strategies for
quantifying the relationships between Asian aerosols and their climatic
impacts, J. Geophys. Res.-Atmos., 108, 8633,
<a href="https://doi.org/10.1029/2003JD003550" target="_blank">https://doi.org/10.1029/2003JD003550</a>, 2003.
</mixed-citation></ref-html>
<ref-html id="bib1.bib55"><label>Huneeus et al.(2011)Huneeus, Schulz, Balkanski, Griesfeller,
Prospero, Kinne, Bauer, Boucher, Chin, Dentener, Diehl, Easter, Fillmore,
Ghan, Ginoux, Grini, Horowitz, Koch, Krol, Landing, Liu, Mahowald, Miller,
Morcrette, Myhre, Penner, Perlwitz, Stier, Takemura, and
Zender</label><mixed-citation>
Huneeus, N., Schulz, M., Balkanski, Y., Griesfeller, J., Prospero, J., Kinne,
S., Bauer, S., Boucher, O., Chin, M., Dentener, F., Diehl, T., Easter, R.,
Fillmore, D., Ghan, S., Ginoux, P., Grini, A., Horowitz, L., Koch, D., Krol,
M. C., Landing, W., Liu, X., Mahowald, N., Miller, R., Morcrette, J.-J.,
Myhre, G., Penner, J., Perlwitz, J., Stier, P., Takemura, T., and Zender, C.
S.: Global dust model intercomparison in AeroCom phase I, Atmos. Chem. Phys.,
11, 7781–7816, <a href="https://doi.org/10.5194/acp-11-7781-2011" target="_blank">https://doi.org/10.5194/acp-11-7781-2011</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib56"><label>HYSPLIT(2016)</label><mixed-citation>
HYSPLIT: HYbrid Single-Particle Lagrangian Integrated Trajectory model,
backward trajectory calculation tool,
<a href="http://ready.arl.noaa.gov/HYSPLIT.php" target="_blank">http://ready.arl.noaa.gov/HYSPLIT.php</a>, last access: 20 December 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib57"><label>Iwasaka et al.(1988)Iwasaka, Yamato, Imasu, and Ono</label><mixed-citation>
Iwasaka, Y., Yamato, M., Imasu, R., and Ono, A.: Transport of Asian dust (KOSA)
particles; importance of weak KOSA events on the geochemical cycle of soil
particles, Tellus B, 40B, 494–503, <a href="https://doi.org/10.1111/j.1600-0889.1988.tb00119.x" target="_blank">https://doi.org/10.1111/j.1600-0889.1988.tb00119.x</a>, 1988.
</mixed-citation></ref-html>
<ref-html id="bib1.bib58"><label>Jähn et al.(2016)</label><mixed-citation>
Jähn, M., Muñoz-Esparza, D., Chouza, F., Reitebuch, O., Knoth, O.,
Haarig, M., and Ansmann, A.: Investigations of boundary layer structure,
cloud characteristics and vertical mixing of aerosols at Barbados with large
eddy simulations, Atmos. Chem. Phys., 16, 651–674,
<a href="https://doi.org/10.5194/acp-16-651-2016" target="_blank">https://doi.org/10.5194/acp-16-651-2016</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib59"><label>Järvinen et al.(2016)Järvinen, Kemppinen, Nousiainen, Kociok,
Möhler, Leisner, and Schnaiter</label><mixed-citation>
Järvinen, E., Kemppinen, O., Nousiainen, T., Kociok, T., Möhler, O.,
Leisner, T., and Schnaiter, M.: Laboratory investigations of mineral dust
near-backscattering depolarization ratios, J. Quant. Spectrosc. Ra., 178,
192–208,
<a href="https://doi.org/10.1016/j.jqsrt.2016.02.003" target="_blank">https://doi.org/10.1016/j.jqsrt.2016.02.003</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib60"><label>Johnson and Osborne(2011)</label><mixed-citation>
Johnson, B. T. and Osborne, S. R.: Physical and optical properties of mineral
dust aerosol measured by aircraft during the GERBILS campaign, Q. J. Roy.
Meteor. Soc., 137, 1117–1130, <a href="https://doi.org/10.1002/qj.777" target="_blank">https://doi.org/10.1002/qj.777</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib61"><label>Jung et al.(2013)Jung, Albrecht, Prospero, Jonsson, and
Kreidenweis</label><mixed-citation>
Jung, E., Albrecht, B., Prospero, J. M., Jonsson, H. H., and Kreidenweis,
S. M.: Vertical structure of aerosols, temperature, and moisture associated
with an intense African dust event observed over the eastern Caribbean,
J. Geophys. Res.-Atmos., 118, 4623–4643,
<a href="https://doi.org/10.1002/jgrd.50352" target="_blank">https://doi.org/10.1002/jgrd.50352</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib62"><label>Kanitz et al.(2013)Kanitz, Ansmann, Engelmann, and
Althausen</label><mixed-citation>
Kanitz, T., Ansmann, A., Engelmann, R., and Althausen, D.: North-south cross
sections of the vertical aerosol distribution over the Atlantic Ocean from
multiwavelength Raman/polarization lidar during Polarstern cruises, J.
Geophys. Res.-Atmos., 118, 2643–2655,
<a href="https://doi.org/10.1002/jgrd.50273" target="_blank">https://doi.org/10.1002/jgrd.50273</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib63"><label>Kanitz et al.(2014)Kanitz, Engelmann, Heinold, Baars, Skupin, and
Ansmann</label><mixed-citation>
Kanitz, T., Engelmann, R., Heinold, B., Baars, H., Skupin, A., and Ansmann, A.:
Tracking the Saharan Air Layer with shipborne lidar across the tropical
Atlantic, Geophys. Res. Lett., 41, 1044–1050,
<a href="https://doi.org/10.1002/2013GL058780" target="_blank">https://doi.org/10.1002/2013GL058780</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib64"><label>Karyampudi et al.(1999)Karyampudi, Palm, Reagen, Fang, Grant, Hoff,
Moulin, Pierce, Torres, Browell, and Melfi</label><mixed-citation>
Karyampudi, V. M., Palm, S. P., Reagen, J. A., Fang, H., Grant, W. B., Hoff,
R. M., Moulin, C., Pierce, H. F., Torres, O., Browell, E. V., and Melfi,
S. H.: Validation of the Saharan Dust Plume Conceptual Model Using Lidar,
Meteosat, and ECMWF Data, B. Am. Meteorol. Soc.,
80, 1045–1075, <a href="https://doi.org/10.1175/1520-0477(1999)080&lt;1045:VOTSDP&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0477(1999)080&lt;1045:VOTSDP&gt;2.0.CO;2</a>,1999.
</mixed-citation></ref-html>
<ref-html id="bib1.bib65"><label>Kemppinen et al.(2015a)Kemppinen, Nousiainen, and
Lindqvist</label><mixed-citation>
Kemppinen, O., Nousiainen, T., and Lindqvist, H.: The impact of surface
roughness on scattering by realistically shaped wavelength-scale dust
particles, J. Quant. Spectrosc. Ra., 150,
55–67, <a href="https://doi.org/10.1016/j.jqsrt.2014.05.024" target="_blank">https://doi.org/10.1016/j.jqsrt.2014.05.024</a>, 2015a.
</mixed-citation></ref-html>
<ref-html id="bib1.bib66"><label>Kemppinen et al.(2015b)Kemppinen, Nousiainen,
Merikallio, and Räisänen</label><mixed-citation>
Kemppinen, O., Nousiainen, T., Merikallio, S., and Räisänen, P.:
Retrieving microphysical properties of dust-like particles using ellipsoids:
the case of refractive index, Atmos. Chem. Phys., 15, 11117–11132,
<a href="https://doi.org/10.5194/acp-15-11117-2015" target="_blank">https://doi.org/10.5194/acp-15-11117-2015</a>, 2015b.
</mixed-citation></ref-html>
<ref-html id="bib1.bib67"><label>Kobayashi et al.(1985)Kobayashi, Hayashida, Okada, and
Iwasaka</label><mixed-citation>
Kobayashi, A., Hayashida, S., Okada, K., and Iwasaka, Y.: Measurements of the
Polarization Properties of Kosa (Asian Dust-storm) Particles by a Laser Radar
in Spring 1983, J. Meteorol. Soc. Jpn. Ser. II, 63,
144–149, <a href="https://doi.org/10.2151/jmsj1965.63.1_144" target="_blank">https://doi.org/10.2151/jmsj1965.63.1_144</a>, 1985.
</mixed-citation></ref-html>
<ref-html id="bib1.bib68"><label>Kristensen et al.(2016)Kristensen, Müller, Kandler, Benker,
Hartmann, Prospero, Wiedensohler, and Stratmann</label><mixed-citation>
Kristensen, T. B., Müller, T., Kandler, K., Benker, N., Hartmann, M.,
Prospero, J. M., Wiedensohler, A., and Stratmann, F.: Properties of cloud
condensation nuclei (CCN) in the trade wind marine boundary layer of the
western North Atlantic, Atmos. Chem. Phys., 16, 2675–2688,
<a href="https://doi.org/10.5194/acp-16-2675-2016" target="_blank">https://doi.org/10.5194/acp-16-2675-2016</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib69"><label>Lindqvist et al.(2014)Lindqvist, Jokinen, Kandler, Scheuvens, and
Nousiainen</label><mixed-citation>
Lindqvist, H., Jokinen, O., Kandler, K., Scheuvens, D., and Nousiainen, T.:
Single scattering by realistic, inhomogeneous mineral dust particles with
stereogrammetric shapes, Atmos. Chem. Phys., 14, 143–157,
<a href="https://doi.org/10.5194/acp-14-143-2014" target="_blank">https://doi.org/10.5194/acp-14-143-2014</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib70"><label>Liu et al.(2003)Liu, Mishchenko, Hovenier, Volten, and
Muñoz</label><mixed-citation>
Liu, L., Mishchenko, M. I., Hovenier, J. W., Volten, H., and Muñoz, O.:
Scattering matrix of quartz aerosols: comparison and synthesis of laboratory
and Lorenz–Mie results, J. Quant. Spectrosc. Ra., 79, 911–920,
<a href="https://doi.org/10.1016/S0022-4073(02)00328-X" target="_blank">https://doi.org/10.1016/S0022-4073(02)00328-X</a>, 2003.
</mixed-citation></ref-html>
<ref-html id="bib1.bib71"><label>Lopatin et al.(2013)Lopatin, Dubovik, Chaikovsky, Goloub, Lapyonok,
Tanré, and Litvinov</label><mixed-citation>
Lopatin, A., Dubovik, O., Chaikovsky, A., Goloub, P., Lapyonok, T.,
Tanré, D., and Litvinov, P.: Enhancement of aerosol characterization
using synergy of lidar and sun-photometer coincident observations: the
GARRLiC algorithm, Atmos. Meas. Tech., 6, 2065–2088,
<a href="https://doi.org/10.5194/amt-6-2065-2013" target="_blank">https://doi.org/10.5194/amt-6-2065-2013</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib72"><label>Mamouri and Ansmann(2014)</label><mixed-citation>
Mamouri, R. E. and Ansmann, A.: Fine and coarse dust separation with
polarization lidar, Atmos. Meas. Tech., 7, 3717–3735,
<a href="https://doi.org/10.5194/amt-7-3717-2014" target="_blank">https://doi.org/10.5194/amt-7-3717-2014</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib73"><label>Mamouri and Ansmann(2017)</label><mixed-citation>
Mamouri, R.-E. and Ansmann, A.: Potential of polarization/Raman lidar to
separate fine dust, coarse dust, maritime, and anthropogenic aerosol
profiles, Atmos. Meas. Tech. Discuss., <a href="https://doi.org/10.5194/amt-2017-131" target="_blank">https://doi.org/10.5194/amt-2017-131</a>,
in review, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib74"><label>Marinou et al.(2017)Marinou, Amiridis, Binietoglou, Tsikerdekis,
Solomos, Proestakis, Konsta, Papagiannopoulos, Tsekeri, Vlastou, Zanis,
Balis, Wandinger, and Ansmann</label><mixed-citation>
Marinou, E., Amiridis, V., Binietoglou, I., Tsikerdekis, A., Solomos, S.,
Proestakis, E., Konsta, D., Papagiannopoulos, N., Tsekeri, A., Vlastou, G.,
Zanis, P., Balis, D., Wandinger, U., and Ansmann, A.: Three-dimensional
evolution of Saharan dust transport towards Europe based on a 9-year
EARLINET-optimized CALIPSO dataset, Atmos. Chem. Phys., 17, 5893–5919,
<a href="https://doi.org/10.5194/acp-17-5893-2017" target="_blank">https://doi.org/10.5194/acp-17-5893-2017</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib75"><label>Mattis et al.(2002)Mattis, Ansmann, Müller, Wandinger, and
Althausen</label><mixed-citation>
Mattis, I., Ansmann, A., Müller, D., Wandinger, U., and Althausen, D.:
Dual-wavelength Raman lidar observations of the extinction-to-backscatter
ratio of Saharan dust, Geophys. Res. Lett., 29, 20-1–20-4,
<a href="https://doi.org/10.1029/2002GL014721" target="_blank">https://doi.org/10.1029/2002GL014721</a>, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib76"><label>Mattis et al.(2009)Mattis, Tesche, Grein, Freudenthaler, and
Müller</label><mixed-citation>
Mattis, I., Tesche, M., Grein, M., Freudenthaler, V., and Müller, D.:
Systematic error of lidar profiles caused by a polarization-dependent
receiver transmission: quantification and error correction scheme, Appl.
Optics, 48, 2742–2751, <a href="https://doi.org/10.1364/AO.48.002742" target="_blank">https://doi.org/10.1364/AO.48.002742</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib77"><label>McConnell et al.(2008)McConnell, Highwood, Coe, Formenti, Anderson,
Osborne, Nava, Desboeufs, Chen, and Harrison</label><mixed-citation>
McConnell, C. L., Highwood, E. J., Coe, H., Formenti, P., Anderson, B.,
Osborne, S., Nava, S., Desboeufs, K., Chen, G., and Harrison, M. A. J.:
Seasonal variations of the physical and optical characteristics of Saharan
dust: Results from the Dust Outflow and Deposition to the Ocean (DODO)
experiment, J. Geophys. Res.-Atmos., 113, D14S05,
<a href="https://doi.org/10.1029/2007JD009606" target="_blank">https://doi.org/10.1029/2007JD009606</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib78"><label>McNeil and Carsweil(1975)</label><mixed-citation>
McNeil, W. R. and Carsweil, A. L.: Lidar polarization studies of the
troposphere, Appl. Optics, 14, 2158–2168, <a href="https://doi.org/10.1364/AO.14.002158" target="_blank">https://doi.org/10.1364/AO.14.002158</a>, 1975.
</mixed-citation></ref-html>
<ref-html id="bib1.bib79"><label>Miffre et al.(2016)Miffre, Mehri, Francis, and Rairoux</label><mixed-citation>
Miffre, A., Mehri, T., Francis, M., and Rairoux, P.: UV–VIS depolarization
from Arizona Test Dust particles at exact backscattering angle, J.
Quant. Spectrosc. Ra., 169, 79–90,
<a href="https://doi.org/10.1016/j.jqsrt.2015.09.016" target="_blank">https://doi.org/10.1016/j.jqsrt.2015.09.016</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib80"><label>Müller et al.(2010a)Müller, Ansmann, Freudenthaler,
Kandler, Toledano, Hiebsch, Gasteiger, Esselborn, Tesche, Heese, Althausen,
Weinzierl, Petzold, and von Hoyningen-Huene</label><mixed-citation>
Müller, D., Ansmann, A., Freudenthaler, V., Kandler, K., Toledano, C.,
Hiebsch, A., Gasteiger, J., Esselborn, M., Tesche, M., Heese, B., Althausen,
D., Weinzierl, B., Petzold, A., and von Hoyningen-Huene, W.: Mineral dust
observed with AERONET Sun photometer, Raman lidar, and in situ instruments
during SAMUM 2006: Shape-dependent particle properties, J.
Geophys. Res.-Atmos., 115, D11207, <a href="https://doi.org/10.1029/2009JD012523" target="_blank">https://doi.org/10.1029/2009JD012523</a>,
2010a.
</mixed-citation></ref-html>
<ref-html id="bib1.bib81"><label>Müller et al.(2010b)Müller, Weinzierl, Petzold,
Kandler, Ansmann, Müller, Tesche, Freudenthaler, Esselborn, Heese,
Althausen, Schladitz, Otto, and Knippertz</label><mixed-citation>
Müller, D., Weinzierl, B., Petzold, A., Kandler, K., Ansmann, A.,
Müller,
T., Tesche, M., Freudenthaler, V., Esselborn, M., Heese, B., Althausen, D.,
Schladitz, A., Otto, S., and Knippertz, P.: Mineral dust observed with
AERONET Sun photometer, Raman lidar, and in situ instruments during SAMUM
2006: Shape-independent particle properties, J. Geophys. Res.-Atmos., 115, D07202, <a href="https://doi.org/10.1029/2009JD012520" target="_blank">https://doi.org/10.1029/2009JD012520</a>,
2010b.
</mixed-citation></ref-html>
<ref-html id="bib1.bib82"><label>Müller et al.(2012)Müller, Lee, Gasteiger, Tesche, Weinzierl,
Kandler, Müller, Toledano, Otto, Althausen, and Ansmann</label><mixed-citation>
Müller, D., Lee, K.-H., Gasteiger, J., Tesche, M., Weinzierl, B., Kandler,
K., Müller, T., Toledano, C., Otto, S., Althausen, D., and Ansmann, A.:
Comparison of optical and microphysical properties of pure Saharan mineral
dust observed with AERONET Sun photometer, Raman lidar, and in situ
instruments during SAMUM 2006, J. Geophys. Res.-Atmos.,
117, D07211, <a href="https://doi.org/10.1029/2011JD016825" target="_blank">https://doi.org/10.1029/2011JD016825</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib83"><label>Müller et al.(2013)Müller, Veselovskii, Kolgotin, Tesche,
Ansmann, and Dubovik</label><mixed-citation>
Müller, D., Veselovskii, I., Kolgotin, A., Tesche, M., Ansmann, A., and
Dubovik, O.: Vertical profiles of pure dust and mixed smoke-dust plumes
inferred from inversion of multiwavelength Raman/polarization lidar data and
comparison to AERONET retrievals and in situ observations, Appl. Optics, 52,
3178–3202, <a href="https://doi.org/10.1364/AO.52.003178" target="_blank">https://doi.org/10.1364/AO.52.003178</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib84"><label>Murayama et al.(2001)Murayama, Sugimoto, Uno, Kinoshita, Aoki,
Hagiwara, Liu, Matsui, Sakai, Shibata, Arao, Sohn, Won, Yoon, Li, Zhou, Hu,
Abo, Iokibe, Koga, and Iwasaka</label><mixed-citation>
Murayama, T., Sugimoto, N., Uno, I., Kinoshita, K., Aoki, K., Hagiwara, N.,
Liu, Z., Matsui, I., Sakai, T., Shibata, T., Arao, K., Sohn, B.-J., Won,
J.-G., Yoon, S.-C., Li, T., Zhou, J., Hu, H., Abo, M., Iokibe, K., Koga, R.,
and Iwasaka, Y.: Ground-based network observation of Asian dust events of
April 1998 in east Asia, J. Geophys. Res.-Atmos., 106,
18345–18359, <a href="https://doi.org/10.1029/2000JD900554" target="_blank">https://doi.org/10.1029/2000JD900554</a>, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib85"><label>Omar et al.(2009)Omar, Winker, Vaughan, Hu, Trepte, Ferrare, Lee,
Hostetler, Kittaka, Rogers, Kuehn, and Liu</label><mixed-citation>
Omar, A. H., Winker, D. M., Vaughan, M. A., Hu, Y., Trepte, C. R., Ferrare,
R. A., Lee, K.-P., Hostetler, C. A., Kittaka, C., Rogers, R. R., Kuehn,
R. E., and Liu, Z.: The CALIPSO Automated Aerosol Classification and Lidar
Ratio Selection Algorithm, J. Atmos. Ocean. Tech., 26,
1994–2014, <a href="https://doi.org/10.1175/2009JTECHA1231.1" target="_blank">https://doi.org/10.1175/2009JTECHA1231.1</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib86"><label>Papayannis et al.(2005)Papayannis, Balis, Amiridis, Chourdakis,
Tsaknakis, Zerefos, Castanho, Nickovic, Kazadzis, and
Grabowski</label><mixed-citation>
Papayannis, A., Balis, D., Amiridis, V., Chourdakis, G., Tsaknakis, G.,
Zerefos, C., Castanho, A. D. A., Nickovic, S., Kazadzis, S., and Grabowski,
J.: Measurements of Saharan dust aerosols over the Eastern Mediterranean
using elastic backscatter-Raman lidar, spectrophotometric and satellite
observations in the frame of the EARLINET project, Atmos. Chem. Phys., 5,
2065–2079, <a href="https://doi.org/10.5194/acp-5-2065-2005" target="_blank">https://doi.org/10.5194/acp-5-2065-2005</a>, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib87"><label>Preißler et al.(2011)Preißler, Wagner, Pereira, and
Guerrero-Rascado</label><mixed-citation>
Preißler, J., Wagner, F., Pereira, S. N., and Guerrero-Rascado, J. L.:
Multi-instrumental observation of an exceptionally strong Saharan dust
outbreak over Portugal, J. Geophys. Res.-Atmos., 116,
D24204, <a href="https://doi.org/10.1029/2011JD016527" target="_blank">https://doi.org/10.1029/2011JD016527</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib88"><label>Reid et al.(2003)Reid, Kinney, Westphal, Holben, Welton, Tsay,
Eleuterio, Campbell, Christopher, Colarco, Jonsson, Livingston, Maring,
Meier, Pilewskie, Prospero, Reid, Remer, Russell, Savoie, Smirnov, and
Tanré</label><mixed-citation>
Reid, J. S., Kinney, J. E., Westphal, D. L., Holben, B. N., Welton, E. J.,
Tsay, S.-C., Eleuterio, D. P., Campbell, J. R., Christopher, S. A., Colarco,
P. R., Jonsson, H. H., Livingston, J. M., Maring, H. B., Meier, M. L.,
Pilewskie, P., Prospero, J. M., Reid, E. A., Remer, L. A., Russell, P. B.,
Savoie, D. L., Smirnov, A., and Tanré, D.: Analysis of measurements of
Saharan dust by airborne and ground-based remote sensing methods during the
Puerto Rico Dust Experiment (PRIDE), J. Geophys. Res.-Atmos., 108, 8586, <a href="https://doi.org/10.1029/2002JD002493" target="_blank">https://doi.org/10.1029/2002JD002493</a>, 2003.
</mixed-citation></ref-html>
<ref-html id="bib1.bib89"><label>Rittmeister et al.(2017)Rittmeister, Ansmann, Engelmann, Skupin,
Baars, Kanitz, and Kinne</label><mixed-citation>
Rittmeister, F., Ansmann, A., Engelmann, R., Skupin, A., Baars, H., Kanitz,
T., and Kinne, S.: From the Caribbean to West Africa: Four weeks of
continuous dust and marine aerosol profiling with shipborne
polarization/Raman lidar – a contribution to SALTRACE, Atmos. Chem. Phys. Discuss.,
<a href="https://doi.org/10.5194/acp-2017-130" target="_blank">https://doi.org/10.5194/acp-2017-130</a>, in review, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib90"><label>Ryder et al.(2013)Ryder, Highwood, Rosenberg, Trembath, Brooke, Bart,
Dean, Crosier, Dorsey, Brindley, Banks, Marsham, McQuaid, Sodemann, and
Washington</label><mixed-citation>
Ryder, C. L., Highwood, E. J., Rosenberg, P. D., Trembath, J., Brooke, J. K.,
Bart, M., Dean, A., Crosier, J., Dorsey, J., Brindley, H., Banks, J.,
Marsham, J. H., McQuaid, J. B., Sodemann, H., and Washington, R.: Optical
properties of Saharan dust aerosol and contribution from the coarse mode as
measured during the Fennec 2011 aircraft campaign, Atmos. Chem. Phys., 13,
303–325, <a href="https://doi.org/10.5194/acp-13-303-2013" target="_blank">https://doi.org/10.5194/acp-13-303-2013</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib91"><label>Sakai et al.(2010)Sakai, Nagai, Zaizen, and Mano</label><mixed-citation>
Sakai, T., Nagai, T., Zaizen, Y., and Mano, Y.: Backscattering linear
depolarization ratio measurements of mineral, sea-salt, and ammonium sulfate
particles simulated in a laboratory chamber, Appl. Optics, 49, 4441–4449,
<a href="https://doi.org/10.1364/AO.49.004441" target="_blank">https://doi.org/10.1364/AO.49.004441</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib92"><label>Shimizu et al.(2004)Shimizu, Sugimoto, Matsui, Arao, Uno, Murayama,
Kagawa, Aoki, Uchiyama, and Yamazaki</label><mixed-citation>
Shimizu, A., Sugimoto, N., Matsui, I., Arao, K., Uno, I., Murayama, T., Kagawa,
N., Aoki, K., Uchiyama, A., and Yamazaki, A.: Continuous observations of
Asian dust and other aerosols by polarization lidars in China and Japan
during ACE-Asia, J. Geophys. Res.-Atmos., 109, D19S17,
<a href="https://doi.org/10.1029/2002JD003253" target="_blank">https://doi.org/10.1029/2002JD003253</a>, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib93"><label>Solomos et al.(2017)Solomos, Ansmann, Mamouri, Binietoglou, Patlakas,
Marinou, and Amiridis</label><mixed-citation>
Solomos, S., Ansmann, A., Mamouri, R.-E., Binietoglou, I., Patlakas, P.,
Marinou, E., and Amiridis, V.: Remote sensing and modelling analysis of the
extreme dust storm hitting the Middle East and eastern Mediterranean in
September 2015, Atmos. Chem. Phys., 17, 4063–4079,
<a href="https://doi.org/10.5194/acp-17-4063-2017" target="_blank">https://doi.org/10.5194/acp-17-4063-2017</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib94"><label>Stein et al.(2015)Stein, Draxler, Rolph, Stunder, Cohen, and
Ngan</label><mixed-citation>
Stein, A. F., Draxler, R. R., Rolph, G. D., Stunder, B. J. B., Cohen, M. D.,
and Ngan, F.: NOAA's HYSPLIT Atmospheric Transport and Dispersion Modeling
System, B. Am. Meteorol. Soc., 96, 2059–2077,
<a href="https://doi.org/10.1175/BAMS-D-14-00110.1" target="_blank">https://doi.org/10.1175/BAMS-D-14-00110.1</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib95"><label>Stevens et al.(2016)Stevens, Farrell, Hirsch, Jansen, Nuijens,
Serikov, Brügmann, Forde, Linne, Lonitz, and Prospero</label><mixed-citation>
Stevens, B., Farrell, D., Hirsch, L., Jansen, F., Nuijens, L., Serikov, I.,
Brügmann, B., Forde, M., Linne, H., Lonitz, K., and Prospero, J. M.: The
Barbados Cloud Observatory: Anchoring Investigations of Clouds and
Circulation on the Edge of the ITCZ, B. Am. Meteorol.
Soc., 97, 787–801, <a href="https://doi.org/10.1175/BAMS-D-14-00247.1" target="_blank">https://doi.org/10.1175/BAMS-D-14-00247.1</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib96"><label>Sugimoto and Lee(2006)</label><mixed-citation>
Sugimoto, N. and Lee, C. H.: Characteristics of dust aerosols inferred from
lidar depolarization measurements at two wavelengths, Appl. Optics, 45,
7468–7474, <a href="https://doi.org/10.1364/AO.45.007468" target="_blank">https://doi.org/10.1364/AO.45.007468</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib97"><label>Tanré et al.(2003)Tanré, Haywood, Pelon, Léon, Chatenet,
Formenti, Francis, Goloub, Highwood, and Myhre</label><mixed-citation>
Tanré, D., Haywood, J., Pelon, J., Léon, J. F., Chatenet, B., Formenti, P.,
Francis, P., Goloub, P., Highwood, E. J., and Myhre, G.: Measurement and
modeling of the Saharan dust radiative impact: Overview of the Saharan Dust
Experiment (SHADE), J. Geophys. Res.-Atmos., 108,
8574, <a href="https://doi.org/10.1029/2002JD003273" target="_blank">https://doi.org/10.1029/2002JD003273</a>, 2003.
</mixed-citation></ref-html>
<ref-html id="bib1.bib98"><label>Tesche et al.(2009)Tesche, Ansmann, Müller, Althausen, Mattis,
Heese, Freudenthaler, Wiegner, Esselborn, Pisani, and
Knippertz</label><mixed-citation>
Tesche, M., Ansmann, A., Müller, D., Althausen, D., Mattis, I., Heese, B.,
Freudenthaler, V., Wiegner, M., Esselborn, M., Pisani, G., and Knippertz, P.:
Vertical profiling of Saharan dust with Raman lidars and airborne HSRL in
southern Morocco during SAMUM, Tellus B, 61, 144–164,
<a href="https://doi.org/10.1111/j.1600-0889.2008.00390.x" target="_blank">https://doi.org/10.1111/j.1600-0889.2008.00390.x</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib99"><label>Tesche et al.(2011a)Tesche, Gross, Ansmann, Müller,
Althausen, Freudenthaler, and Esselborn</label><mixed-citation>
Tesche, M., Gross, S., Ansmann, A., Müller, D. D., Althausen, D.,
Freudenthaler, V., and Esselborn, M.: Profiling of Saharan dust and
biomass-burning smoke with multiwavelength polarization Raman lidar at Cape
Verde, Tellus B, 63, 649–676, <a href="https://doi.org/10.1111/j.1600-0889.2011.00548.x" target="_blank">https://doi.org/10.1111/j.1600-0889.2011.00548.x</a>,
2011a.
</mixed-citation></ref-html>
<ref-html id="bib1.bib100"><label>Tesche et al.(2011b)Tesche, Müller, Gross, Ansmann,
Althausen, Freudenthaler, Weinzierl, Veira, and Petzold</label><mixed-citation>
Tesche, M., Müller, D., Gross, S., Ansmann, A., Althausen, D., Freudenthaler,
V., Weinzierl, B., Veira, A., and Petzold, A.: Optical and microphysical
properties of smoke over Cape Verde inferred from multiwavelength lidar
measurements, Tellus B, 63, 677–694, <a href="https://doi.org/10.1111/j.1600-0889.2011.00549.x" target="_blank">https://doi.org/10.1111/j.1600-0889.2011.00549.x</a>,
2011b.
</mixed-citation></ref-html>
<ref-html id="bib1.bib101"><label>Tesche et al.(2013)Tesche, Wandinger, Ansmann, Althausen, Müller,
and Omar</label><mixed-citation>
Tesche, M., Wandinger, U., Ansmann, A., Althausen, D., Müller, D., and
Omar,
A. H.: Ground-based validation of CALIPSO observations of dust and smoke in
the Cape Verde region, J. Geophys. Res.-Atmos., 118,
2889–2902, <a href="https://doi.org/10.1002/jgrd.50248" target="_blank">https://doi.org/10.1002/jgrd.50248</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib102"><label>Toledano et al.(2009)Toledano, Wiegner, Garhammer, Seefeldner,
Gasteiger, Müeller, and Koepke</label><mixed-citation>
Toledano, C., Wiegner, M., Garhammer, M., Seefeldner, M., Gasteiger, J.,
Müeller, D., and Koepke, P.: Spectral aerosol optical depth
characterization of desert dust during SAMUM 2006, Tellus B, 61, 216–228,
<a href="https://doi.org/10.1111/j.1600-0889.2008.00382.x" target="_blank">https://doi.org/10.1111/j.1600-0889.2008.00382.x</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib103"><label>Toledano et al.(2011)Toledano, Wiegner, Groß, Freudenthaler,
Gasteiger, Müeller, Müeller, Schladitz, Weinzierl, Torres, and
O'Neill</label><mixed-citation>
Toledano, C., Wiegner, M., Groß, S., Freudenthaler, V., Gasteiger, J.,
Müeller, D., Müeller, T., Schladitz, A., Weinzierl, B., Torres, B., and
O'Neill, N. T.: Optical properties of aerosol mixtures derived from sun-sky
radiometry during SAMUM-2, Tellus B, 63, 635–648,
<a href="https://doi.org/10.1111/j.1600-0889.2011.00573.x" target="_blank">https://doi.org/10.1111/j.1600-0889.2011.00573.x</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib104"><label>Veselovskii et al.(2010)Veselovskii, Dubovik, Kolgotin, Lapyonok,
Di Girolamo, Summa, Whiteman, Mishchenko, and Tanré</label><mixed-citation>
Veselovskii, I., Dubovik, O., Kolgotin, A., Lapyonok, T., Di Girolamo, P.,
Summa, D., Whiteman, D. N., Mishchenko, M., and Tanré, D.: Application of
randomly oriented spheroids for retrieval of dust particle parameters from
multiwavelength lidar measurements, J. Geophys. Res.-Atmos., 115, D21203, <a href="https://doi.org/10.1029/2010JD014139" target="_blank">https://doi.org/10.1029/2010JD014139</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib105"><label>Veselovskii et al.(2016)Veselovskii, Goloub, Podvin, Bovchaliuk,
Derimian, Augustin, Fourmentin, Tanre, Korenskiy, Whiteman, Diallo, Ndiaye,
Kolgotin, and Dubovik</label><mixed-citation>
Veselovskii, I., Goloub, P., Podvin, T., Bovchaliuk, V., Derimian, Y.,
Augustin, P., Fourmentin, M., Tanre, D., Korenskiy, M., Whiteman, D. N.,
Diallo, A., Ndiaye, T., Kolgotin, A., and Dubovik, O.: Retrieval of optical
and physical properties of African dust from multiwavelength Raman lidar
measurements during the SHADOW campaign in Senegal, Atmos. Chem. Phys., 16,
7013–7028, <a href="https://doi.org/10.5194/acp-16-7013-2016" target="_blank">https://doi.org/10.5194/acp-16-7013-2016</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib106"><label>Volten et al.(2001)Volten, Muñoz, Rol, de Haan, Vassen, Hovenier,
Muinonen, and Nousiainen</label><mixed-citation>
Volten, H., Muñoz, O., Rol, E., de Haan, J. F., Vassen, W., Hovenier,
J. W.,
Muinonen, K., and Nousiainen, T.: Scattering matrices of mineral aerosol
particles at 441.6 nm and 632.8 nm, J. Geophys. Res.-Atmos., 106, 17375–17401, <a href="https://doi.org/10.1029/2001JD900068" target="_blank">https://doi.org/10.1029/2001JD900068</a>, 2001.
</mixed-citation></ref-html>
<ref-html id="bib1.bib107"><label>Wagner et al.(2013)Wagner, Ansmann, Wandinger, Seifert, Schwarz,
Tesche, Chaikovsky, and Dubovik</label><mixed-citation>
Wagner, J., Ansmann, A., Wandinger, U., Seifert, P., Schwarz, A., Tesche, M.,
Chaikovsky, A., and Dubovik, O.: Evaluation of the Lidar/Radiometer Inversion
Code (LIRIC) to determine microphysical properties of volcanic and desert
dust, Atmos. Meas. Tech., 6, 1707–1724,
<a href="https://doi.org/10.5194/amt-6-1707-2013" target="_blank">https://doi.org/10.5194/amt-6-1707-2013</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib108"><label>Wandinger and Ansmann(2002)</label><mixed-citation>
Wandinger, U. and Ansmann, A.: Experimental Determination of the Lidar Overlap
Profile with Raman Lidar, Appl. Optics, 41, 511–514,
<a href="https://doi.org/10.1364/AO.41.000511" target="_blank">https://doi.org/10.1364/AO.41.000511</a>, 2002.

</mixed-citation></ref-html>
<ref-html id="bib1.bib109"><label>Wandinger et al.(2002)Wandinger, Müller, Böckmann, Althausen,
Matthias, Bösenberg, Weiß, Fiebig, Wendisch, Stohl, and
Ansmann</label><mixed-citation>
Wandinger, U., Müller, D., Böckmann, C., Althausen, D., Matthias, V.,
Bösenberg, J., Weiß, V., Fiebig, M., Wendisch, M., Stohl, A., and Ansmann,
A.: Optical and microphysical characterization of biomass- burning and
industrial-pollution aerosols from- multiwavelength lidar and aircraft
measurements, J. Geophys. Res.-Atmos., 107, 8125, <a href="https://doi.org/10.1029/2000JD000202" target="_blank">https://doi.org/10.1029/2000JD000202</a>, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib110"><label>Weinzierl et al.(2017)</label><mixed-citation>
Weinzierl, B., Ansmann, A., Prospero, J. M., Althausen, D., Benker, N., Chouza,
F., Dollner, M., Farrell, D., Fomba, W. K., Freudenthaler, V., Gasteiger, J.,
Groß, S., Haarig, M., Heinold, B., Kandler, K., Kristensen, T. B.,
Mayol-Bracero, O. L., Müller, T., Reitebuch, O., Sauer, D., Schäfler, A.,
Schepanski, K., Spanu, A., Tegen, I., Toledano, C., and Walser, A.: The
Saharan Aerosol Long-range Transport and Aerosol-Cloud-Interaction Experiment
(SALTRACE): overview and selected highlights, B. Am.
Meteorol. Soc., 98, 1427–1451, <a href="https://doi.org/10.1175/BAMS-D-15-00142.1" target="_blank">https://doi.org/10.1175/BAMS-D-15-00142.1</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib111"><label>West et al.(1997)West, Doose, Eibl, Tomasko, and
Mishchenko</label><mixed-citation>
West, R. A., Doose, L. R., Eibl, A. M., Tomasko, M. G., and Mishchenko, M. I.:
Laboratory measurements of mineral dust scattering phase function and linear
polarization, J. Geophys. Res.-Atmos., 102,
16871–16881, <a href="https://doi.org/10.1029/96JD02584" target="_blank">https://doi.org/10.1029/96JD02584</a>, 1997.
</mixed-citation></ref-html>
<ref-html id="bib1.bib112"><label>Wex et al.(2016)Wex, Dieckmann, Roberts, Conrath, Izaguirre,
Hartmann, Herenz, Schäfer, Ditas, Schmeissner, Henning, Wehner, Siebert,
and Stratmann</label><mixed-citation>
Wex, H., Dieckmann, K., Roberts, G. C., Conrath, T., Izaguirre, M. A.,
Hartmann, S., Herenz, P., Schäfer, M., Ditas, F., Schmeissner, T.,
Henning, S., Wehner, B., Siebert, H., and Stratmann, F.: Aerosol arriving on
the Caribbean island of Barbados: physical properties and origin, Atmos.
Chem. Phys., 16, 14107–14130, <a href="https://doi.org/10.5194/acp-16-14107-2016" target="_blank">https://doi.org/10.5194/acp-16-14107-2016</a>,
2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib113"><label>Wiegner et al.(2009)Wiegner, Gasteiger, Kandler, Weinzierl, Rasp,
Esselborn, Freudenthaler, Heese, Toledano, Tesche, and
Althausen</label><mixed-citation>
Wiegner, M., Gasteiger, J., Kandler, K., Weinzierl, B., Rasp, K., Esselborn,
M., Freudenthaler, V., Heese, B., Toledano, C., Tesche, M., and Althausen,
D.: Numerical simulations of optical properties of Saharan dust aerosols with
emphasis on lidar applications, Tellus B, 61, 180–194,
<a href="https://doi.org/10.1111/j.1600-0889.2008.00381.x" target="_blank">https://doi.org/10.1111/j.1600-0889.2008.00381.x</a>, 2009.
</mixed-citation></ref-html>--></article>
