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  <front>
    <journal-meta><journal-id journal-id-type="publisher">ACP</journal-id><journal-title-group>
    <journal-title>Atmospheric Chemistry and Physics</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ACP</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Atmos. Chem. Phys.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1680-7324</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/acp-18-2413-2018</article-id><title-group><article-title>Size distribution and ionic composition of marine summer aerosol at the
continental Antarctic site Kohnen</article-title><alt-title>Size distribution and ionic composition of marine summer aerosol</alt-title>
      </title-group><?xmltex \runningtitle{Size distribution and ionic composition of marine summer aerosol}?><?xmltex \runningauthor{R.~Weller et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Weller</surname><given-names>Rolf</given-names></name>
          <email>rolf.weller@awi.de</email>
        <ext-link>https://orcid.org/0000-0003-4880-5572</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Legrand</surname><given-names>Michel</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Preunkert</surname><given-names>Susanne</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-6039-6049</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Glaciology Department, Alfred Wegener Institute for Polar and Marine Research, Am Handelshafen 12, 27570 Bremerhaven, Germany</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Université Grenoble Alpes, CNRS, Laboratoire de Glaciologie et Géophysique de l'Environnement (LGGE), <?xmltex \hack{\break}?>Grenoble, France</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Rolf Weller (rolf.weller@awi.de)</corresp></author-notes><pub-date><day>19</day><month>February</month><year>2018</year></pub-date>
      
      <volume>18</volume>
      <issue>4</issue>
      <fpage>2413</fpage><lpage>2430</lpage>
      <history>
        <date date-type="received"><day>27</day><month>June</month><year>2017</year></date>
           <date date-type="rev-request"><day>25</day><month>October</month><year>2017</year></date>
           <date date-type="rev-recd"><day>21</day><month>December</month><year>2017</year></date>
           <date date-type="accepted"><day>22</day><month>January</month><year>2018</year></date>
      </history>
      <permissions>
        
        
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://acp.copernicus.org/articles/18/2413/2018/acp-18-2413-2018.html">This article is available from https://acp.copernicus.org/articles/18/2413/2018/acp-18-2413-2018.html</self-uri><self-uri xlink:href="https://acp.copernicus.org/articles/18/2413/2018/acp-18-2413-2018.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/18/2413/2018/acp-18-2413-2018.pdf</self-uri>
      <abstract>
    <p id="d1e106">We measured aerosol size distributions and conducted bulk and
size-segregated aerosol sampling during two summer campaigns in January
2015 and January 2016 at the continental Antarctic station Kohnen (Dronning
Maud Land). Physical and chemical aerosol properties differ conspicuously
during the episodic impact of a distinctive low-pressure system in 2015
(LPS15) compared to the prevailing clear sky conditions. The approximately 3-day LPS15 located in the eastern Weddell Sea
was associated
with the following: marine boundary layer air mass intrusion; enhanced condensation
particle concentrations (1400 <inline-formula><mml:math id="M1" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 700 cm<inline-formula><mml:math id="M2" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> compared to 250 <inline-formula><mml:math id="M3" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 120 cm<inline-formula><mml:math id="M4" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
under clear sky conditions; mean <inline-formula><mml:math id="M5" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> SD); the occurrence of a
new particle formation event exhibiting a continuous growth of particle
diameters (<inline-formula><mml:math id="M6" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> from 12 to 43 nm over 44 h (growth rate
0.6 nm h<inline-formula><mml:math id="M7" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>;
peaking methane sulfonate (MS<inline-formula><mml:math id="M8" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, non-sea-salt sulfate
(nss–SO<inline-formula><mml:math id="M9" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, and Na<inline-formula><mml:math id="M10" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> concentrations (190 ng m<inline-formula><mml:math id="M11" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> MS<inline-formula><mml:math id="M12" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula>,
137 ng m<inline-formula><mml:math id="M13" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> nss–SO<inline-formula><mml:math id="M14" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>, and 53 ng m<inline-formula><mml:math id="M15" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> Na<inline-formula><mml:math id="M16" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>
compared to 24 <inline-formula><mml:math id="M17" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 15, 107 <inline-formula><mml:math id="M18" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 20, and
4.1 <inline-formula><mml:math id="M19" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.2 ng m<inline-formula><mml:math id="M20" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, respectively, during clear sky conditions); and
finally an increased MS<inline-formula><mml:math id="M21" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M22" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> nss–SO<inline-formula><mml:math id="M23" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> mass ratio <inline-formula><mml:math id="M24" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mi mathvariant="normal">MS</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>
of 0.4 up to 2.3 (0.21 <inline-formula><mml:math id="M25" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1 under clear sky conditions) comparable to
typical values found at coastal Antarctic sites. Throughout the observation
period a larger part of MS<inline-formula><mml:math id="M26" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> could be found in super-micron aerosol
compared to nss–SO<inline-formula><mml:math id="M27" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>, i.e., (10 <inline-formula><mml:math id="M28" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2) % by mass compared
to (3.2 <inline-formula><mml:math id="M29" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2) %, respectively. On the whole, under clear sky
conditions aged aerosol characterized by usually mono-modal size
distributions around <inline-formula><mml:math id="M30" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 60 nm was observed. Although our
observations indicate that the sporadic impacts of coastal cyclones were
associated with enhanced marine aerosol entry, aerosol deposition
on-site during austral summer should be largely dominated by typical steady
clear sky conditions.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p id="d1e434">The impact of aerosols on global climate, which is in particular mediated by
governing cloud droplet concentrations and hence cloud optical properties
(Rosenfeld et al., 2014; Seinfeld et al., 2016), is of crucial importance
but likewise notoriously charged with the largest uncertainties (Boucher et
al., 2013; Seinfeld et al., 2016). In a seminal review, Carslaw et al. (2013)
concluded that uncertainties in cloud radiative forcing are inter alia
caused by uncertainties in natural emissions of dimethylsulfide (DMS)
producing biogenic sulfur aerosol (i.e., MS<inline-formula><mml:math id="M31" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> and nss–SO<inline-formula><mml:math id="M32" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>
and sea spray. The radiation budget over the Southern Ocean is a particular
challenge for current climate models, as they disturbingly underpredict the
aerosol optical depth, pointing to a missing source of aerosols influencing
cloud properties in this region (Bodas-Salcedo et al., 2014; Humphries et
al., 2016). The competing role of biogenic sulfur (linked with phytoplankton
presence) and otherwise sea salt aerosol (linked with stormy sea) in
controlling cloudiness above the Southern Ocean is still up for debate
(Meskhidze and Nenes, 2006; Korhonen et al., 2008; Quinn and Bates, 2011;
Gras and Keywood, 2017).</p>
      <p id="d1e463">Biogenic sulfur aerosol, i.e., secondary aerosol produced by the photooxidation
of DMS and primary sea salt aerosol, by far dominate the aerosol mass
over the Southern Ocean<?pagebreak page2414?> around Antarctica (Raes et al., 2000; Quinn and
Bates, 2011). This original marine aerosol is partly transported to
continental Antarctica and eventually deposited on the ice shield. Ideally,
deposited aerosol constituents are archived in chronological order in firn
(densified snow) and ice (Legrand and Mayewski, 1997). Therefore ice core
records of biogenic sulfur and sea salt tracers potentially provide
invaluable information on their (strictly speaking local) atmospheric budget,
which is intrinsically tied to the Southern Ocean climate in the past (Wolff
et al., 2006; Kaufmann et al., 2009; Mayewski et al., 2009; Abram et al.,
2013). More specifically, investigations of sea salt and biogenic sulfur
records from the EPICA (European Project for Ice Coring in Antarctica) ice
core retrieved at Kohnen station in Dronning Maud Land revealed the
relationship of these archived aerosol tracer profiles with climate indices
such as the Antarctic Circumpolar Wave or the Antarctic Dipole (Fischer
et al., 2004; Fundel et al., 2006). In view of the poor knowledge of aerosol
source strength and atmospheric concentrations regarding the Southern Ocean
realm, retrieving representative historic data from ice core
archives is consequently desirable. Certainly, any meaningful interpretations
of ice core records rely on the knowledge of the source region and major
transport processes as well as transport efficiency to continental
Antarctica which is connected with the instant general weather situation.
These crucial points can only be elucidated by dedicated aerosol
measurements on-site.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><caption><p id="d1e468">Location of Kohnen station (Dronning Maud Land, DML) and site plan
of the station surroundings.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2413/2018/acp-18-2413-2018-f01.pdf"/>

      </fig>

      <p id="d1e477">In this way, previous aerosol investigations (bulk and sometimes
size-segregated composition) revealed a striking difference in the
seasonality of sulfur aerosol composition between coastal and inland
Antarctica, with MS<inline-formula><mml:math id="M33" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M34" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> nss–SO<inline-formula><mml:math id="M35" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> mass ratios (<inline-formula><mml:math id="M36" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mi mathvariant="normal">MS</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>
reaching a maximum in January at the coast (0.40 at Neumayer, for instance;
Legrand and Pasteur, 1998). This contrasts with midsummer <inline-formula><mml:math id="M37" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mi mathvariant="normal">MS</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> as low
as 0.2 or less at inland Antarctic sites including the South Pole (Arimoto
et al., 2004) and the two deep ice core drilling sites of the EPICA project
(Kohnen: Weller and Wagenbach, 2007, and Concordia: Preunkert et al., 2008,
and Becagli et al., 2012). Based on an extended (2006–2015) record of
aerosol, Legrand et al. (2017a) found that low values of <inline-formula><mml:math id="M38" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mi mathvariant="normal">MS</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> in
midsummer at Concordia (0.05 <inline-formula><mml:math id="M39" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.02) coincided with periods of high
photochemical activity as indicated by the presence of locally
photochemically produced O<inline-formula><mml:math id="M40" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>. This outcome strongly suggests the
occurrence of an efficient chemical destruction of MS<inline-formula><mml:math id="M41" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mspace width="0.125em" linebreak="nobreak"/></mml:mrow></mml:msup></mml:math></inline-formula>over the
Antarctic Plateau in midsummer. In addition, dedicated aerosol
investigations within EPICA at Kohnen (Piel et al., 2006) have demonstrated
the conspicuous impact of a cyclone on aerosol transport: in
the aftermath of an intense low-pressure system over the eastern Weddell Sea
region in combination with a blocking high-pressure ridge to the east in
early January 2002 (Birnbaum et al., 2006), MS<inline-formula><mml:math id="M42" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> and
nss–SO<inline-formula><mml:math id="M43" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> aerosol entry showed an exceptional maximum (Piel et
al., 2006). So far, a distinct impact of cyclones on aerosol concentrations
has been frequently observed at coastal sites (e.g., Ito and Iwai, 1981, for
Syowa and Pant et al., 2010, for Maitri), but only rarely on the Antarctic
Plateau region (Hogan and Barnard, 1978, for the South Pole). In the most
elaborate study about this topic, Pant et al. (2010) reported an almost
constant background aerosol concentration under calm conditions, while
during the passage of cyclones coarse-mode sea salt aerosol increased by an
order of magnitude and occasionally new particle formation could be detected
in the aftermath of the storms.</p>
      <p id="d1e599">Up to now, all investigations at Kohnen were purely based on bulk aerosol
sampling. The aim of our present study is focused on the variability of
aerosol number concentration, aerosol size distribution, and size-segregated
aerosol sampling to investigate the impact of different general weather
situations on the physical and chemical properties of the aerosol for a site
located on the Antarctic Plateau (Weller et al., 2017). This extended synoptic documentation of
the physics and chemistry of Antarctic aerosol primarily concentrates on
biogenic sulfur aerosol due to its distinct seasonal summer concentration
peak caused by the seasonality of marine biogenic activity in the
surrounding Southern Ocean (Weller and Wagenbach, 2007). Hence deposition in
Dronning Maud Land should be virtually entirely governed by the atmospheric
concentration maximum on-site, which was sufficiently covered by our
dedicated observations.</p>
</sec>
<sec id="Ch1.S2">
  <title>Experimental techniques and data evaluation methods</title>
<sec id="Ch1.S2.SS1">
  <title>Site description</title>
      <p id="d1e613">During two summer seasons between 16 January and 3 February 2015 and 12 and
29 January 2016, we conducted aerosol size distribution measurements and size-segregated aerosol samplings at the continental Kohnen station
(75<inline-formula><mml:math id="M44" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>00<inline-formula><mml:math id="M45" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> S, 00<inline-formula><mml:math id="M46" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>04<inline-formula><mml:math id="M47" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> E, altitude: 2892 m a.g.l.;
<uri>http://www.awi.de/en/expedition/stations/kohnen-station.html</uri>; last access:
7 December 2017). This summer camp is the former deep ice core drilling
location within the EPICA project in Dronning Maud Land about 550 km away
from the ice shelf edge. Apart from the given internet link, another
detailed description of the site comprising technical issues and a
retrospect of the scientific activities can be found in Oerter et al. (2009).
In order to minimize the impact of contamination from the
permanently running diesel generator at the station, all experiments were
installed inside (in situ measurements) or around (aerosol sampling) a
bivouac hut located in the clean air sector about 250 m to the northeast of
Kohnen (Fig. 1). The power supply (7 kW) was provided by cable from the main
station. No fuel-driven generator was operated in the designated clean air
sector (Fig. 1) and motor vehicle traffic was strictly prohibited.
Contamination-free sampling was controlled by the permanently recorded wind
velocity and direction. Contamination was indicated for each of the
following criteria: wind direction within a 260–340<inline-formula><mml:math id="M48" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>
sector and/or wind velocity &lt; 1.5 m s<inline-formula><mml:math id="M49" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. In the case<?pagebreak page2415?> of
contamination as given by these criteria, we interrupted the aerosol sampling
experiments (low volume and impactor).</p>
      <p id="d1e677">For convenience we will use throughout this work the notion “day of the
year”
(doy) instead of the calendar date and time is indicated in UTC, which is
virtually identical to the solar time. All trace compound concentrations
refer to standard volume at 273 K   and 1013 hPa (STP).</p>
</sec>
<sec id="Ch1.S2.SS2">
  <title>Experimental setup</title>
<sec id="Ch1.S2.SS2.SSS1">
  <title>Particle concentration and size distribution</title>
      <p id="d1e691">An overview of the experimental setup during both campaigns is given in
Table 1, comprising the respective measuring periods of the different
configurations and the relevant specifications of the deployed
instruments. The size distribution of the sub-micrometer aerosol at Kohnen
was determined by a scanning mobility particle sizer (SMPS; TSI classifier
model 3080; Wang and Flagan, 1990). Setup and respective data evaluation
methods were virtually identical to our installation run at Neumayer
Station, as already described in detail elsewhere (Weller et al., 2015). Hence
we simply highlight here the most relevant points. The SMPS was generally
run in combination with the same condensation particle counter (TSI,
model WCPC 3788; 50 % cutoff diameter <inline-formula><mml:math id="M50" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mrow><mml:mi mathvariant="normal">p</mml:mi><mml:mo>(</mml:mo><mml:mn mathvariant="normal">50</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="italic">%</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> of 2.5 nm)
controlled by the TSI software AIM (Aerosol Instrument
Manager<sup>®</sup> version 9.0). The classifier was
operated alternately with a so-called nano-DMA (nano-differential mobility
analyzer; TSI model 3085) and a DMA model 3081. Equipped with the nano-DMA
3085, we adjusted the aerosol and sheath flow of the classifier to achieve
nominal aerosol size distribution measurements between 2 and 64 nm, while
in use with the DMA 3081, flows were adjusted to cover the size range
between 10 and 420 nm (in both cases with 64 channel resolution). Both
DMA types were operated with a scanning time of 120 s (retrace time 15 s)
and the average size distribution of four consecutive (multiple charge and
diffusion corrected) spectra was finally evaluated, resulting in a temporal
resolution of 600 s.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><caption><p id="d1e721">Survey of the experimental setup during both summer campaigns at
Kohnen station.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="3">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="justify" colwidth="170.716535pt" colsep="1"/>
     <oasis:colspec colnum="3" colname="col3" align="justify" colwidth="170.716535pt"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Measured parameter</oasis:entry>
         <oasis:entry colname="col2">Summer campaign 2015 <?xmltex \hack{\hfill\break}?>(between 16 Jan and 3 Feb 2015)</oasis:entry>
         <oasis:entry colname="col3">Summer campaign 2016 <?xmltex \hack{\hfill\break}?>(between 12 Jan and 29 Jan 2016)</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Particle number concentration</oasis:entry>
         <oasis:entry colname="col2">CNC 3775 (TSI), <?xmltex \hack{\hfill\break}?>cutoff <inline-formula><mml:math id="M51" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mrow><mml:mi mathvariant="normal">p</mml:mi><mml:mo>(</mml:mo><mml:mn mathvariant="normal">50</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="italic">%</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M52" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 4 nm; 60 s resolution</oasis:entry>
         <oasis:entry colname="col3">CNC 3025A (TSI), <?xmltex \hack{\hfill\break}?>cutoff <inline-formula><mml:math id="M53" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mrow><mml:mi mathvariant="normal">p</mml:mi><mml:mo>(</mml:mo><mml:mn mathvariant="normal">50</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="italic">%</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M54" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 3 nm; 60 s resolution</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Particle size distribution</oasis:entry>
         <oasis:entry colname="col2">SMPS 3936/WCPC 3788 (TSI); 10 min res. <?xmltex \hack{\hfill\break}?>1. nano-DMA 3085 (TSI), <?xmltex \hack{\hfill\break}?>range (nominal): 2 to 64 nm, <?xmltex \hack{\hfill\break}?>measuring period: 16 Jan to 27 Jan <?xmltex \hack{\hfill\break}?>2. long DMA 3081 (TSI), <?xmltex \hack{\hfill\break}?>range (nominal): 10 to 420 nm, <?xmltex \hack{\hfill\break}?>measuring period: 27 Jan to 2 Feb</oasis:entry>
         <oasis:entry colname="col3">SMPS 3936/WCPC 3788 (TSI); 10 min res. <?xmltex \hack{\hfill\break}?>1. nano-DMA 3085 (TSI) <?xmltex \hack{\hfill\break}?>Range (nominal): 2 to 64 nm <?xmltex \hack{\hfill\break}?>Measuring period: 12 to 23 Jan <?xmltex \hack{\hfill\break}?>2. long DMA 3081 (TSI), <?xmltex \hack{\hfill\break}?>range (nominal): 10 to 420 nm, <?xmltex \hack{\hfill\break}?>measuring period: 23 to 28 Jan</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Bulk aerosol sampling</oasis:entry>
         <oasis:entry colname="col2">Teflon–nylon filter combination, <?xmltex \hack{\hfill\break}?>about 24 or 48 h sampling intervals</oasis:entry>
         <oasis:entry colname="col3">Teflon–nylon filter combination, <?xmltex \hack{\hfill\break}?>about 24 h sampling interval</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Size-segregated aerosol sampling</oasis:entry>
         <oasis:entry colname="col2">Five-stage Berner-type impactor: <?xmltex \hack{\hfill\break}?>cutoff (<inline-formula><mml:math id="M55" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m): 3.5, 1.2, 0.4, 0.12, 0.042, <?xmltex \hack{\hfill\break}?>about 48  or 72 h sampling intervals</oasis:entry>
         <oasis:entry colname="col3">Five-stage Berner-type impactor: <?xmltex \hack{\hfill\break}?>cutoff (<inline-formula><mml:math id="M56" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m): 3.5, 1.2, 0.4, 0.12, 0.042, <?xmltex \hack{\hfill\break}?>about 48  or 72 h sampling interval</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Meteorology</oasis:entry>
         <oasis:entry colname="col2">Weather transmitter WXT520 (Vaisala), <?xmltex \hack{\hfill\break}?> <inline-formula><mml:math id="M57" display="inline"><mml:mi>U</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M58" display="inline"><mml:mi>D</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M59" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M60" display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula>, RH; 60 s resolution</oasis:entry>
         <oasis:entry colname="col3">Weather transmitter WXT520 (Vaisala), <?xmltex \hack{\hfill\break}?> <inline-formula><mml:math id="M61" display="inline"><mml:mi>U</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M62" display="inline"><mml:mi>D</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M63" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M64" display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula>, RH; 60 s resolution</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e987">Particle size distributions were complemented with continuous condensation
particle (CP) concentration measurements (TSI, model CPC 3775; <inline-formula><mml:math id="M65" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mrow><mml:mi mathvariant="normal">p</mml:mi><mml:mo>(</mml:mo><mml:mn mathvariant="normal">50</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">%</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula>
of 4 nm in 2015 and CPC 3025A, <inline-formula><mml:math id="M66" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mrow><mml:mi mathvariant="normal">p</mml:mi><mml:mo>(</mml:mo><mml:mn mathvariant="normal">50</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="italic">%</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> of 3 nm in 2016). Below,
we will use the terms nucleation mode for particles with <inline-formula><mml:math id="M67" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> &lt; 25 nm
and Aitken mode for the size range between 25 and 100 nm (Dal Maso et al., 2005).</p>
</sec>
<sec id="Ch1.S2.SS2.SSS2">
  <title>Low-volume and impactor aerosol sampling</title>
      <p id="d1e1049">The low-volume sampler (ISAP<sup>®</sup> 1050; Schulze
Automatisierungstechnik, Germany) and the five-stage low-pressure Berner-type
impactor (GIV, model 80/0.05/2.88) were installed outdoors ca. 15 m
northeast of the bivouac hut with ambient air inlets about 1.70 m above
the ground. Low-volume sampling (1.66 m<inline-formula><mml:math id="M68" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> h<inline-formula><mml:math id="M69" 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> (STP), face velocity 0.33 m s<inline-formula><mml:math id="M70" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>
was regularly conducted in 24 h time periods, while the
impactor was run with a flow rate of 4.74 m<inline-formula><mml:math id="M71" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> h<inline-formula><mml:math id="M72" 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> (STP) in 2-day
or 3-day intervals (Table 1; sample exchange usually in the early afternoon
around 14:00). For bulk aerosol sampling with the low-volume sampler we used
a Teflon and a nylon (Nylasorb) filter in series (Pall Corp.; 47 mm
diameter and 1 <inline-formula><mml:math id="M73" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m pore size). The low-volume sampling procedure and
filter handling was the same as in our Kohnen campaigns in 2001 and 2002,
as described in Piel et al. (2006). The impactor was equipped with Tedlar foils
(Hauke GmbH, Austria) and the aerodynamic cutoffs of the stages were
corrected for ambient conditions according to the Stokes law (Table 1).</p>
      <?pagebreak page2416?><p id="d1e1120">According to Piel et al. (2006) sample extracts were analyzed by using ion
chromatography (IC) for methane sulfonate (CH<inline-formula><mml:math id="M74" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>SO<inline-formula><mml:math id="M75" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>,
MS<inline-formula><mml:math id="M76" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, Cl<inline-formula><mml:math id="M77" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula>, Br<inline-formula><mml:math id="M78" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula>, NO<inline-formula><mml:math id="M79" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, SO<inline-formula><mml:math id="M80" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>, Na<inline-formula><mml:math id="M81" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>,
NH<inline-formula><mml:math id="M82" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, K<inline-formula><mml:math id="M83" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>, Mg<inline-formula><mml:math id="M84" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula>, and Ca<inline-formula><mml:math id="M85" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula>. The nss–SO<inline-formula><mml:math id="M86" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>
part was calculated using the sea salt tracer Na<inline-formula><mml:math id="M87" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> according to
Piel et al. (2006). Unfortunately, due to unbearable nitrate blanks (caused by an
unperceived and unauthorized use of nitric acid in the IC laboratory), all
measured NO<inline-formula><mml:math id="M88" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> concentrations were treated as meaningless and
discarded. In addition, Br<inline-formula><mml:math id="M89" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula>, K<inline-formula><mml:math id="M90" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>, Mg<inline-formula><mml:math id="M91" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula>, and
Ca<inline-formula><mml:math id="M92" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> concentrations were frequently close to the analytical detection
limit (DL) of around 0.2 ng m<inline-formula><mml:math id="M93" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. Figure 2 summarizes the overall
experimental uncertainty and ascertained DL, which are valid for the main ionic
compounds to be discussed below. The circles are representative percentage
error at different concentrations above the given DL (<inline-formula><mml:math id="M94" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">ξ</mml:mi><mml:mi>i</mml:mi></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>
considering both the analytical (filter handling and IC) accuracy and the
uncertainty of the sampling volume (&lt; <inline-formula><mml:math id="M95" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5 %). By using this
procedure the error close to the DL was typically <inline-formula><mml:math id="M96" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>25 % for all
ions. The DL was derived from dedicated procedure blanks (in total 10 blanks
for low-volume sampling and 4 for each impactor stage) to be 3 times
the standard deviation of these blanks. The blue line is an exponential fit
through the values. Above a concentration of around 10 ng m<inline-formula><mml:math id="M97" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, the
uncertainty was mainly governed by the concentration-independent volume
ascertainment of around <inline-formula><mml:math id="M98" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>5 %.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2"><caption><p id="d1e1397">Relative uncertainty <inline-formula><mml:math id="M99" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">ε</mml:mi><mml:mi mathvariant="normal">rel</mml:mi></mml:msub><mml:mo>(</mml:mo><mml:mi>i</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> of the ion
measurements derived from bulk (low volume) and size-segregated (Berner
impactor) sampling as a function of <inline-formula><mml:math id="M100" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">ξ</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>. The circles represent the
percentage error at different concentrations <inline-formula><mml:math id="M101" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">ξ</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, i.e., the measured
concentration of the ion [<inline-formula><mml:math id="M102" display="inline"><mml:mrow><mml:msub><mml:mi>x</mml:mi><mml:mi>i</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>] minus the corresponding DL<inline-formula><mml:math id="M103" display="inline"><mml:msub><mml:mi/><mml:mi>i</mml:mi></mml:msub></mml:math></inline-formula>. The
blue line is an exponential fit through these values. Above a concentration
of around 10 ng m<inline-formula><mml:math id="M104" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, the uncertainty was mainly governed by the
concentration-independent volume ascertainment of around 5 % (red
horizontal line).</p></caption>
            <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2413/2018/acp-18-2413-2018-f02.png"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><caption><p id="d1e1481">Time series of the measured meteorological parameters in 2015 (60 s
temporal resolution). The period of LPS15 is shaded in yellow. The cloud
amount in oktas  is denoted on the top of the second figure based on casual
visual inspection.</p></caption>
            <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2413/2018/acp-18-2413-2018-f03.png"/>

          </fig>

      <p id="d1e1490">The original concentration data from the different impactor stages were
inverted according a procedure described in Winklmayr et al. (1990). In
order to assess the validity of the inversion algorithm, we first
compared the mass balance of the original with the inverted data. The
discrepancy was typically within 1 to 2 % by mass, but never exceeds
5 %. Next we had to consider the influence of the analytical uncertainty
of the ion concentrations on the inversion procedure. To this end we ran a
Monte Carlo simulation, i.e., 1000 realizations of the inversion for a given
compound were calculated, independently varying the concentrations of each
impactor stage within 2 SD of the experimental error (we used individual
concentration-dependent errors derived from the exponential fit in Fig. 2).
From these 1000 realizations, the mean size distribution and the confidence
intervals were determined. The result for the two most critical cases is
shown in the Supplement (Fig. S1). For clarity, we refrain below
from displaying confidence intervals in the presented impactor data.</p>
      <p id="d1e1493">Comparing ionic concentrations derived from low-volume and impactor sampling
(including results from both campaigns covering the same sampling period,
i.e., 11 out of 12 impactor samples), we found that concentration ratios
from the impactor versus low-volume sampling were 0.64 <inline-formula><mml:math id="M105" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.15 for MS<inline-formula><mml:math id="M106" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula>,
0.79 <inline-formula><mml:math id="M107" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 17 for nss–SO<inline-formula><mml:math id="M108" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>, 1.1 <inline-formula><mml:math id="M109" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2 for Na<inline-formula><mml:math id="M110" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>,
0.96 <inline-formula><mml:math id="M111" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.4 for Cl<inline-formula><mml:math id="M112" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula>, and 0.72 <inline-formula><mml:math id="M113" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.5 for NH<inline-formula><mml:math id="M114" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>. The
somewhat low sampling efficiency of the impactor for MS<inline-formula><mml:math id="M115" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> may<?pagebreak page2417?> be due to
partial reevaporation from the Tedlar foils (Teinilä et al., 2014).
Finally, denuder experiments conducted by Piel et al. (2006) demonstrated
that spurious post-sampling reactions like mobilization of volatile acids
could generally be regarded as negligible for Teflon–nylon filter
combinations.</p>
</sec>
<sec id="Ch1.S2.SS2.SSS3">
  <title>Meteorological measurements and backward trajectories</title>
      <p id="d1e1601">The basic meteorological parameters wind speed (<inline-formula><mml:math id="M116" display="inline"><mml:mi>U</mml:mi></mml:math></inline-formula>) and wind
direction (<inline-formula><mml:math id="M117" display="inline"><mml:mi>D</mml:mi></mml:math></inline-formula>), temperature (<inline-formula><mml:math id="M118" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>), barometric pressure (<inline-formula><mml:math id="M119" display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula>), and relative
humidity (RH) were measured in 60 s resolution by a compact automatic
weather station (Vaisala Weather Transmitter WXT520). The origin and pathway
of the air masses advected to the measuring site was assessed by backward
trajectories (HYSPLIT 4.0, Hybrid Single-Particle Lagrangian Integrated
trajectory; <uri>http://www.arl.noaa.gov/documents/reports/hysplit_user_guide.pdf</uri>; last access: 7 December 2017) relying on
GDAS meteorological data with a spatial resolution of 1<inline-formula><mml:math id="M120" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M121" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 1<inline-formula><mml:math id="M122" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>
(longitude <inline-formula><mml:math id="M123" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> latitude grid). The accuracy
of back trajectories is generally dependent on the availability of reliable
meteorological data and their spatial coverage, which is of particular
concern for remote regions like the Southern Ocean and Antarctica
(see, e.g., the review by Stohl, 1998). As for coastal site Neumayer we already
discussed this point (Weller et al., 2014, 2015), but for continental
Antarctica, the persisting surface inversions and katabatic winds pose
additional challenges to air mass trajectory analyses. Though a detailed
accuracy assessment is beyond the scope this work, we tried to validate the
consistency of the back trajectories used by (i) using the 3-D wind fields
of the GDAS data and the isentropic approximation, which could be more
reliable for regions with sparse meteorological input data (Harris et al.,
2005); (ii) varying the starting height above the ground between 10 and 100 m;
and (iii) calculating trajectory ensembles whose starting points were varied by
<inline-formula><mml:math id="M124" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>1<inline-formula><mml:math id="M125" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> longitude and <inline-formula><mml:math id="M126" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula>1<inline-formula><mml:math id="M127" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> latitude each, while
for the height above the ground 0, 250, and 500 m were chosen.
The impact of these different initial conditions on our conclusions will be
appraised in the Discussion section. Finally, weather charts generated by the
Antarctic Mesoscale Prediction System (AMPS) were used to assess the general
weather situation (Powers et al., 2003;
<uri>http://www2.mmm.ucar.edu/rt/amps/information/amps_esg_data_info.html</uri>; last access: 7 December
2017).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><caption><p id="d1e1706">Time series of the measured meteorological parameters in 2016 (60 s
temporal resolution). The stormy period LPS16 is shaded in yellow. Again,
the cloud amount is denoted on the top of the second figure.</p></caption>
            <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2413/2018/acp-18-2413-2018-f04.png"/>

          </fig>

</sec>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Results</title>
<sec id="Ch1.S3.SS1">
  <title>Meteorological conditions</title>
      <p id="d1e1728">Figures 3 and 4 give a detailed synopsis of the measured meteorological
parameters. Regarding local meteorology, bright weather conditions, i.e.,
clear sky conditions with a cloud amount typically well below 2 oktas,
prevailed, except the period between 17 and 20 January 2015 (doy 17 at 12:00
to doy 20 at 18:00) when the impact of a cyclone (LPS15) with a center in the
southeastern Weddell Sea reached the site (a corresponding weather chart is
shown in   Fig. S2). Note that the cloud amounts given
in Figs. 3 and 4 were assessed by<?pagebreak page2418?> everyday casual visual inspection between
04:00 and 22:00 and should be rated as subjective but reasonable estimates.
In the following we will especially focus on this episodic and prominent
weather situation, which is preluded by a sharp pressure drop of 15 hPa and associated
with increasing wind velocities to around 10 m s<inline-formula><mml:math id="M128" 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>, drifting snow,
overcast sky, and some snow precipitation (which was notoriously difficult
to distinguish from drifting snow). Corresponding HYSPLIT calculations
predicted only marginal local precipitation around 0.2 mm water equivalent
in the evening on 19 January 2015. A second prominent high wind event
occurred on 15 January 2016 (LPS16; Figs. 4 and S3), again induced by an
intense low-pressure system in the Weddell Sea
region. In both cases the nearby coastal site Neumayer (70<inline-formula><mml:math id="M129" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>39<inline-formula><mml:math id="M130" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> S,
8<inline-formula><mml:math id="M131" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>15<inline-formula><mml:math id="M132" display="inline"><mml:msup><mml:mi/><mml:mo>′</mml:mo></mml:msup></mml:math></inline-formula> W) experienced severe blizzards with wind velocities up to
25 m s<inline-formula><mml:math id="M133" 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>. But in contrast to LPS15, the sky was then only temporarily overcast
in the case of LPS16 at Kohnen and no precipitation has been realized.</p>
      <p id="d1e1792">During the continuous clear sky conditions, katabatic winds from the
northeast (following the terrain slope) around 5 m s<inline-formula><mml:math id="M134" 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>, usually with a
maximum shortly after midnight and a minimum in the late afternoon, were
typical. Frequently, sparse clear sky precipitation (diamond dust) could be
observed during night and early morning. In such cases, AMPS weather charts
revealed only shallow low-pressure systems offshore of DML and the
characteristic continental anticyclone centered some hundred kilometers east or
southeast from Kohnen, which was also present during LPS15 and LPS16 (Figs. S2 and S3).</p>
      <p id="d1e1807">Due to our limited meteorological database, a thorough characterization of
the atmospheric boundary layer was not feasible. Though to this end it seems
reasonable to access a detailed investigation of the summertime
atmospheric boundary layer at Kohnen by Van As
et al. (2006). Concerning
clear sky conditions, our meteorological conditions (<inline-formula><mml:math id="M135" display="inline"><mml:mi>U</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M136" display="inline"><mml:mi>D</mml:mi></mml:math></inline-formula>, <inline-formula><mml:math id="M137" display="inline"><mml:mi>T</mml:mi></mml:math></inline-formula>, and <inline-formula><mml:math id="M138" display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula>)
were virtually comparable to a 4-day period described therein. Hence,
according to Van As et al. (2006), we may assume the presence of a stable
boundary layer overnight with strong temperature inversion (typically
around 5 K m<inline-formula><mml:math id="M139" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> and a thickness up to 50 m), developing to a slightly
convective layer (up to 50 m thick) around noon with near-neutral stability
and capped by an inversion layer (Van As et al., 2006).</p>
</sec>
<sec id="Ch1.S3.SS2">
  <title>Particle concentrations and related size distributions</title>
      <p id="d1e1856">In Figs. 5 and 6, CP concentrations measured with both CPCs (CP<inline-formula><mml:math id="M140" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">4</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:msub></mml:math></inline-formula> and
CP<inline-formula><mml:math id="M141" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:msub></mml:math></inline-formula> during 2015 and 2016, respectively) along with the ultrafine
particle concentrations between 3 and 25 nm (UCP<inline-formula><mml:math id="M142" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mtext>3–25</mml:mtext></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and
between 10 and 25 nm (UCP<inline-formula><mml:math id="M143" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mtext>10–25</mml:mtext></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> are displayed. CP concentrations
were strikingly enhanced during LPS15 (1400 <inline-formula><mml:math id="M144" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 700 cm<inline-formula><mml:math id="M145" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> compared to
250 <inline-formula><mml:math id="M146" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 120 cm<inline-formula><mml:math id="M147" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> during clear sky conditions), though on the whole
clearly lower compared to coastal sites like Neumayer (Weller et al., 2011).
Both UCP time series were derived from the nano-DMA 3085 and DMA 3081 data,
which are conflated as contour plots in Figs. 7 and S4–S6. The striking
feature was the strong rise in CP, most
notably UCP<inline-formula><mml:math id="M148" display="inline"><mml:msub><mml:mi/><mml:mtext>3–25</mml:mtext></mml:msub></mml:math></inline-formula> concentrations, during the onset of LPS15. This period
was characterized by elevated UCP<inline-formula><mml:math id="M149" display="inline"><mml:msub><mml:mi/><mml:mtext>3–25</mml:mtext></mml:msub></mml:math></inline-formula> <inline-formula><mml:math id="M150" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> CP<inline-formula><mml:math id="M151" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">4</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:msub></mml:math></inline-formula> ratios
of 0.75 <inline-formula><mml:math id="M152" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.5. After a recurring weather situation, i.e., the remaining observation
period<?pagebreak page2419?> in 2015 and throughout the campaign in 2016, including the stormy
period LPS16, UCP <inline-formula><mml:math id="M153" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> CP ratios were typically below 0.3 (more precisely:
UCP<inline-formula><mml:math id="M154" display="inline"><mml:msub><mml:mi/><mml:mtext>3–25</mml:mtext></mml:msub></mml:math></inline-formula> <inline-formula><mml:math id="M155" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> CP<inline-formula><mml:math id="M156" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">4</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:msub></mml:math></inline-formula> and UCP<inline-formula><mml:math id="M157" display="inline"><mml:msub><mml:mi/><mml:mtext>3–25</mml:mtext></mml:msub></mml:math></inline-formula> <inline-formula><mml:math id="M158" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> CP<inline-formula><mml:math id="M159" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:msub></mml:math></inline-formula>
stayed around 0.28 <inline-formula><mml:math id="M160" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2, while UCP<inline-formula><mml:math id="M161" display="inline"><mml:msub><mml:mi/><mml:mtext>10–25</mml:mtext></mml:msub></mml:math></inline-formula> <inline-formula><mml:math id="M162" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> CP<inline-formula><mml:math id="M163" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">4</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:msub></mml:math></inline-formula> and
UCP<inline-formula><mml:math id="M164" display="inline"><mml:msub><mml:mi/><mml:mtext>10–25</mml:mtext></mml:msub></mml:math></inline-formula> <inline-formula><mml:math id="M165" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> CP<inline-formula><mml:math id="M166" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:msub></mml:math></inline-formula> were 0.18 <inline-formula><mml:math id="M167" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.07 and 0.11 <inline-formula><mml:math id="M168" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1,
respectively, Figs. 5 and 6). Table 2 summarizes particle concentrations and
the
ionic composition of the aerosol during the impact of LPS15, LPS16,
and clear sky conditions. While during 2015 CPC and UCP concentrations were
nearly an order of magnitude higher compared to clear sky conditions, the
effect of LPS16 was not obvious.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><caption><p id="d1e2142">CP (blue diamonds), UCP<inline-formula><mml:math id="M169" display="inline"><mml:msub><mml:mi/><mml:mtext>3–25</mml:mtext></mml:msub></mml:math></inline-formula> (red circles), and UCP<inline-formula><mml:math id="M170" display="inline"><mml:msub><mml:mi/><mml:mtext>10–25</mml:mtext></mml:msub></mml:math></inline-formula>
(purple circles) concentration time series (10 min resolution) during the
campaign 2015. UCP<inline-formula><mml:math id="M171" display="inline"><mml:msub><mml:mi/><mml:mtext>3–25</mml:mtext></mml:msub></mml:math></inline-formula> and UCP<inline-formula><mml:math id="M172" display="inline"><mml:msub><mml:mi/><mml:mtext>10–25</mml:mtext></mml:msub></mml:math></inline-formula> values were derived from the
nano-DMA 3085 and DMA 3081 data, respectively. The period of LPS15 is shaded
in yellow.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2413/2018/acp-18-2413-2018-f05.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6"><caption><p id="d1e2189">CP (blue diamonds), UCP<inline-formula><mml:math id="M173" display="inline"><mml:msub><mml:mi/><mml:mtext>3–25</mml:mtext></mml:msub></mml:math></inline-formula> (red circles), and UCP<inline-formula><mml:math id="M174" display="inline"><mml:msub><mml:mi/><mml:mtext>10–25</mml:mtext></mml:msub></mml:math></inline-formula>
(purple circles) concentration time series (10 min resolution) during the
campaign 2016. The period of the LPS16 is shaded in yellow.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2413/2018/acp-18-2413-2018-f06.png"/>

        </fig>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><caption><p id="d1e2220">Particle number concentrations and ionic composition (mean <inline-formula><mml:math id="M175" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> SD)
classified into different general weather conditions (impact of low-pressure system and clear sky conditions during both campaigns); note that
the ionic composition during LPS16 was based on one sample, and hence no SD can
be given. NA – not available.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="5">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Measured parameter</oasis:entry>
         <oasis:entry namest="col2" nameend="col3" align="center">Summer campaign 2015 </oasis:entry>
         <oasis:entry namest="col4" nameend="col5" align="center">Summer campaign 2016 </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry namest="col2" nameend="col3" align="center">LPS15 clear sky cond. </oasis:entry>
         <oasis:entry namest="col4" nameend="col5" align="center">LPS16 clear sky cond. </oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">CPC<inline-formula><mml:math id="M176" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">4</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:msub></mml:math></inline-formula> (cm<inline-formula><mml:math id="M177" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">1400 <inline-formula><mml:math id="M178" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 700</oasis:entry>
         <oasis:entry colname="col3">250 <inline-formula><mml:math id="M179" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 120</oasis:entry>
         <oasis:entry colname="col4">NA</oasis:entry>
         <oasis:entry colname="col5">NA</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">CPC<inline-formula><mml:math id="M180" display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mn mathvariant="normal">3</mml:mn><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:msub></mml:math></inline-formula> (cm<inline-formula><mml:math id="M181" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">NA</oasis:entry>
         <oasis:entry colname="col3">NA</oasis:entry>
         <oasis:entry colname="col4">150 <inline-formula><mml:math id="M182" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 40</oasis:entry>
         <oasis:entry colname="col5">200 <inline-formula><mml:math id="M183" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 120</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">UCP<inline-formula><mml:math id="M184" display="inline"><mml:msub><mml:mi/><mml:mtext>3–25 nm</mml:mtext></mml:msub></mml:math></inline-formula> (cm<inline-formula><mml:math id="M185" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">880 <inline-formula><mml:math id="M186" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 730</oasis:entry>
         <oasis:entry colname="col3">90 <inline-formula><mml:math id="M187" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 100</oasis:entry>
         <oasis:entry colname="col4">57 <inline-formula><mml:math id="M188" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 100</oasis:entry>
         <oasis:entry colname="col5">120 <inline-formula><mml:math id="M189" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 164</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">UCP<inline-formula><mml:math id="M190" display="inline"><mml:msub><mml:mi/><mml:mtext>10–25 nm</mml:mtext></mml:msub></mml:math></inline-formula> (cm<inline-formula><mml:math id="M191" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">NA</oasis:entry>
         <oasis:entry colname="col3">46 <inline-formula><mml:math id="M192" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 24</oasis:entry>
         <oasis:entry colname="col4">NA</oasis:entry>
         <oasis:entry colname="col5">18 <inline-formula><mml:math id="M193" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 30</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">MS<inline-formula><mml:math id="M194" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> (ng m<inline-formula><mml:math id="M195" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">111 <inline-formula><mml:math id="M196" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 70</oasis:entry>
         <oasis:entry colname="col3">14.8 <inline-formula><mml:math id="M197" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3.7</oasis:entry>
         <oasis:entry colname="col4">73.6</oasis:entry>
         <oasis:entry colname="col5">26 <inline-formula><mml:math id="M198" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 19</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">nss–SO<inline-formula><mml:math id="M199" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mn mathvariant="normal">2</mml:mn></mml:msubsup></mml:mrow></mml:math></inline-formula> (ng m<inline-formula><mml:math id="M200" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">96 <inline-formula><mml:math id="M201" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 35</oasis:entry>
         <oasis:entry colname="col3">81 <inline-formula><mml:math id="M202" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 9</oasis:entry>
         <oasis:entry colname="col4">181</oasis:entry>
         <oasis:entry colname="col5">115 <inline-formula><mml:math id="M203" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 24</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"><inline-formula><mml:math id="M204" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mi mathvariant="normal">MS</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> (MS<inline-formula><mml:math id="M205" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M206" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> nss–SO<inline-formula><mml:math id="M207" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">1.14 <inline-formula><mml:math id="M208" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.8</oasis:entry>
         <oasis:entry colname="col3">0.18 <inline-formula><mml:math id="M209" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.03</oasis:entry>
         <oasis:entry colname="col4">0.41</oasis:entry>
         <oasis:entry colname="col5">0.22 <inline-formula><mml:math id="M210" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.13</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Cl<inline-formula><mml:math id="M211" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> (ng m<inline-formula><mml:math id="M212" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">15 <inline-formula><mml:math id="M213" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 11</oasis:entry>
         <oasis:entry colname="col3">2.6 <inline-formula><mml:math id="M214" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2</oasis:entry>
         <oasis:entry colname="col4">7.2</oasis:entry>
         <oasis:entry colname="col5">2.6 <inline-formula><mml:math id="M215" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.3</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Na<inline-formula><mml:math id="M216" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> (ng m<inline-formula><mml:math id="M217" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">33 <inline-formula><mml:math id="M218" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 20</oasis:entry>
         <oasis:entry colname="col3">2.8 <inline-formula><mml:math id="M219" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.4</oasis:entry>
         <oasis:entry colname="col4">13.6</oasis:entry>
         <oasis:entry colname="col5">4.1 <inline-formula><mml:math id="M220" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.5</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Cl<inline-formula><mml:math id="M221" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M222" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Na<inline-formula><mml:math id="M223" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">0.45 <inline-formula><mml:math id="M224" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.3</oasis:entry>
         <oasis:entry colname="col3">1.24 <inline-formula><mml:math id="M225" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.2</oasis:entry>
         <oasis:entry colname="col4">0.53</oasis:entry>
         <oasis:entry colname="col5">0.7 <inline-formula><mml:math id="M226" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.4</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">NH<inline-formula><mml:math id="M227" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> (ng m<inline-formula><mml:math id="M228" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col2">4.0 <inline-formula><mml:math id="M229" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3.8</oasis:entry>
         <oasis:entry colname="col3">5.7 <inline-formula><mml:math id="M230" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.4</oasis:entry>
         <oasis:entry colname="col4">13.2</oasis:entry>
         <oasis:entry colname="col5">18 <inline-formula><mml:math id="M231" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e2978"><?xmltex \hack{\newpage}?>Expectedly, the time series of the particle number size distributions (PNSDs)
exhibited a corresponding distinct feature (Fig. 7): during LPS15, we observed according to
Dal Maso et al. (2005) a
pronounced class 1 or so-called “banana-type” NPF event. Particle growth
started at doy 19 (02:50) at a modal maximum of 12 nm, reaching 43 nm at doy 
20 (24:00; Fig. 7). While CP and UCP concentrations exhibited distinct
breaks around noon at doy 19 (Fig. 5), steady particle growth was observed
throughout. The initial nucleation particle formation rate (doy 19 between
02:50 and 17:20) in the size range 3  to 25 nm (<inline-formula><mml:math id="M232" display="inline"><mml:mrow><mml:msub><mml:mi>J</mml:mi><mml:mtext>3–25</mml:mtext></mml:msub><mml:mo>=</mml:mo><mml:mi mathvariant="normal">Δ</mml:mi></mml:mrow></mml:math></inline-formula>UCP<inline-formula><mml:math id="M233" display="inline"><mml:msub><mml:mi/><mml:mtext>3–25</mml:mtext></mml:msub></mml:math></inline-formula> <inline-formula><mml:math id="M234" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M235" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>t</mml:mi></mml:mrow></mml:math></inline-formula>) was around 0.1 s<inline-formula><mml:math id="M236" 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 shape of the size
distributions during this NPF event were “closed” (i.e., decreasing from
the modal maxima towards the lowest size bin at 3 nm). From their temporal
evolution we derived a continuous growth rate of 0.6 <inline-formula><mml:math id="M237" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.08 nm h<inline-formula><mml:math id="M238" 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>
for the whole event between doy 19 (02:50) and doy 20 (24:00). In addition,
a separate calculation for the first and second part of the event (boundary:
noon on doy 19) resulted in virtually identical growth rates of 0.6 <inline-formula><mml:math id="M239" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1 nm h<inline-formula><mml:math id="M240" 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>
for both sections. A condensation sink of typically around
(2.0 <inline-formula><mml:math id="M241" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2) <inline-formula><mml:math id="M242" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M243" 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> s<inline-formula><mml:math id="M244" 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> was calculated according to
Kulmala et al. (2001) from SMPS data when operated with DMA 3081, covering
the extended size range between 10  and 420 nm.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7"><caption><p id="d1e3115">Time series of the particle size distribution
d<inline-formula><mml:math id="M245" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M246" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> dlog<inline-formula><mml:math id="M247" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>
(cm<inline-formula><mml:math id="M248" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> on a logarithmic scale (color code at the top of the contour
plot), including the NPF event and measured with the nano-DMA 3085. Particle
growth is displayed as a bold white line derived from lognormal
distribution fits through size distributions measured between 19 January at 02:55
and 20 January at 24:00. The black circles represent the fitted mode mean
diameters. Periods with enhanced UCP concentrations and nucleation bursts
are numbered.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2413/2018/acp-18-2413-2018-f07.png"/>

        </fig>

      <p id="d1e3164">In addition, we observed enhanced UCP concentrations between 10  and 25 nm
during doy 18 in the morning hours, just before the actual NPF, and in the
evening on doy 19 (numbered 2, 4, and 5 in Fig. 7). Apart from that,
discernible natural nucleation bursts occurred around noon on doy 17 and 18
(numbered 1 and 3 in Fig. 7). All these transient UCP maxima did not show
any detectable particle growth. The nucleation bursts were characterized by
increasing particle concentrations from slightly above 5 nm downward towards
the lower instrumental size limit (“open” distribution), indicating local
nucleation. Table 3 provides a summary of the respective particle formation
rates <inline-formula><mml:math id="M249" display="inline"><mml:mrow><mml:msub><mml:mi>J</mml:mi><mml:mtext>3–25</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> and the range of the observed particle diameter <inline-formula><mml:math id="M250" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> for
these events. In contrast,<?pagebreak page2420?> local contamination provoked strong particle
bursts, which typically showed spiky and strongly enhanced particle
concentrations (UCP<inline-formula><mml:math id="M251" display="inline"><mml:msub><mml:mi/><mml:mtext>3–25</mml:mtext></mml:msub></mml:math></inline-formula> concentrations &gt; 2500 cm<inline-formula><mml:math id="M252" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>,
<inline-formula><mml:math id="M253" display="inline"><mml:mrow><mml:msub><mml:mi>J</mml:mi><mml:mtext>3–25</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> typically &gt; 10 s<inline-formula><mml:math id="M254" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> within a wide particle size
range as marked with white frames in   Fig. S4.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T3" specific-use="star"><caption><p id="d1e3240">List of distinct enhanced UCP concentrations and natural nucleation
burst events apart from the main NPF (event numbers refer to Fig. 7). The
initial nucleation rate (mean <inline-formula><mml:math id="M255" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> SD) is specified together with the
period of the UCP<inline-formula><mml:math id="M256" display="inline"><mml:msub><mml:mi/><mml:mtext>3–25</mml:mtext></mml:msub></mml:math></inline-formula> rise and the range of the particle diameter
<inline-formula><mml:math id="M257" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="6">
     <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:colspec colnum="4" colname="col4" align="center"/>
     <oasis:colspec colnum="5" colname="col5" align="center"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Event</oasis:entry>
         <oasis:entry colname="col2">Event start</oasis:entry>
         <oasis:entry colname="col3">Event end</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M258" display="inline"><mml:mrow><mml:msub><mml:mi>J</mml:mi><mml:mtext>3–25</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> (s<inline-formula><mml:math id="M259" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col5">Period of UCP<inline-formula><mml:math id="M260" display="inline"><mml:msub><mml:mi/><mml:mtext>3–25</mml:mtext></mml:msub></mml:math></inline-formula> rise</oasis:entry>
         <oasis:entry colname="col6"><inline-formula><mml:math id="M261" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> range (nm)</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">1</oasis:entry>
         <oasis:entry colname="col2">17 Jan, 12:00</oasis:entry>
         <oasis:entry colname="col3">17 Jan, 15:00</oasis:entry>
         <oasis:entry colname="col4">0.05 <inline-formula><mml:math id="M262" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.02</oasis:entry>
         <oasis:entry colname="col5">12:00 to 15:00</oasis:entry>
         <oasis:entry colname="col6">&lt; 3.0 to 6.0</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">2</oasis:entry>
         <oasis:entry colname="col2">18 Jan, 00:00</oasis:entry>
         <oasis:entry colname="col3">18 Jan, 12:00</oasis:entry>
         <oasis:entry colname="col4">0.06 <inline-formula><mml:math id="M263" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.02</oasis:entry>
         <oasis:entry colname="col5">00:00 to 02:00</oasis:entry>
         <oasis:entry colname="col6">8.0 to 25</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">3</oasis:entry>
         <oasis:entry colname="col2">18 Jan, 13:00</oasis:entry>
         <oasis:entry colname="col3">18 Jan, 14:00</oasis:entry>
         <oasis:entry colname="col4">0.15 <inline-formula><mml:math id="M264" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.03</oasis:entry>
         <oasis:entry colname="col5">13:00 to 14:00</oasis:entry>
         <oasis:entry colname="col6">&lt; 3.0 to 8.0</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">4</oasis:entry>
         <oasis:entry colname="col2">18 Jan, 18:00</oasis:entry>
         <oasis:entry colname="col3">18 Jan, 24:00</oasis:entry>
         <oasis:entry colname="col4">0.24 <inline-formula><mml:math id="M265" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.04</oasis:entry>
         <oasis:entry colname="col5">18:00 to 21:00</oasis:entry>
         <oasis:entry colname="col6">6.0 to 40</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">5</oasis:entry>
         <oasis:entry colname="col2">19 Jan, 17:00</oasis:entry>
         <oasis:entry colname="col3">19 Jan, 24:00</oasis:entry>
         <oasis:entry colname="col4">0.11 <inline-formula><mml:math id="M266" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.03</oasis:entry>
         <oasis:entry colname="col5">17:00 to 19:00</oasis:entry>
         <oasis:entry colname="col6">8.0 to 12</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e3505">For the rest of the measuring period in 2015, PNSDs were prima facie
monotonous with a mode maximum around 60 nm (Fig. 8). Notably, an almost
persistent Aitken mode around 34 nm was present, which is also obvious in the mean
PNSD derived from DMA 3081 data between doy 28 and doy 33 (Supplement, Fig. S5).
In contrast, merely an accumulation mode could be
identified in the corresponding mean PNSD covering the period from doy 23 to
the end of the campaign in 2016 (Fig. 8). In the first part of the latter
campaign (doy 12 through doy 22, measured with the nano-DMA 3085), an
additional modal maxima between 10 and 30 nm sporadically appeared
(Fig. S6).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8"><caption><p id="d1e3510">Mean PNSD during clear sky conditions measured with DMA 3081
during the campaign in 2015 (blue circles) and 2016 (turquoise circles). The red lines are
lognormal fits with geometric mean diameters
of 34 and 58 nm for the bimodal distribution observed in 2015 and 63 nm for
2016.</p></caption>
          <?xmltex \igopts{width=199.169291pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2413/2018/acp-18-2413-2018-f08.png"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS3">
  <title>Ionic composition of bulk and size-segregated aerosol</title>
      <p id="d1e3525">Though super-micrometer particles were not captured by the SMPS data, PNSD
appeared clearly governed by sub-micrometer aerosol
(Fig. 8), indicating a crucial role of nss–SO<inline-formula><mml:math id="M267" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> in the chemical
composition of the aerosol. Indeed this was supported by the results from
bulk and size-segregated aerosol samplings. Throughout both campaigns, about
(75 <inline-formula><mml:math id="M268" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6) % of the aerosol mass consisted of biogenic sulfur aerosol
(nss–SO<inline-formula><mml:math id="M269" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> and MS<inline-formula><mml:math id="M270" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, leaving only about (9 <inline-formula><mml:math id="M271" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5) % for
sea salt aerosol, while the highly variable NH<inline-formula><mml:math id="M272" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> portion
contributed to about (6 <inline-formula><mml:math id="M273" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4) %. The amount of sea salt aerosol was
calculated from the measured Na<inline-formula><mml:math id="M274" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> concentrations referring to standard
mean ocean water composition with an Na<inline-formula><mml:math id="M275" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M276" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> sea salt mass ratio of 0.306
(Holland, 1993). Note that due to analytical problems we assumed an
NO<inline-formula><mml:math id="M277" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> portion of 7.4 % in the above mass balance estimate,
according to results from three former summer campaigns at Kohnen (Piel et
al., 2006). Ion balance considerations revealed that the sampled aerosol was
constantly acidic, i.e., (0.7 <inline-formula><mml:math id="M278" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.3) neq m<inline-formula><mml:math id="M279" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> H<inline-formula><mml:math id="M280" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>, corresponding
to (40 <inline-formula><mml:math id="M281" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 15) % H<inline-formula><mml:math id="M282" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> in 2015 and (0.8 <inline-formula><mml:math id="M283" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.6) neq m<inline-formula><mml:math id="M284" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
H<inline-formula><mml:math id="M285" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> or (25 <inline-formula><mml:math id="M286" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 16) % H<inline-formula><mml:math id="M287" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> equivalent contingent in 2016. Note
that these figures are nota bene a lower limit because we ignore here any
HNO<inline-formula><mml:math id="M288" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> part due to given analytical problems. Although Cl<inline-formula><mml:math id="M289" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M290" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Na<inline-formula><mml:math id="M291" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>
mass ratios were highly variable (1.0 <inline-formula><mml:math id="M292" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.9 in 2015 and 0.7 <inline-formula><mml:math id="M293" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.3
in 2016), a significant Cl<inline-formula><mml:math id="M294" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> depletion relative to the seawater
composition (Cl<inline-formula><mml:math id="M295" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M296" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> Na<inline-formula><mml:math id="M297" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 1.8) was evident, indicating HCl
mobilization by acids like HNO<inline-formula><mml:math id="M298" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> or H<inline-formula><mml:math id="M299" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>SO<inline-formula><mml:math id="M300" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>.</p>
      <p id="d1e3845">Generally ion concentrations (except NH<inline-formula><mml:math id="M301" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mo>+</mml:mo></mml:msubsup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> were considerably
higher during LPS 15 and LPS16 compared to clear sky conditions (Table 2).
The time series of nss–SO<inline-formula><mml:math id="M302" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> and MS<inline-formula><mml:math id="M303" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> as well as <inline-formula><mml:math id="M304" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mi mathvariant="normal">MS</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>
derived from low-volume sampling are shown in Figs. 9 and 10, while the
results for Na<inline-formula><mml:math id="M305" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> and NH<inline-formula><mml:math id="M306" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> are presented in the Supplement,
Fig. S7.<?pagebreak page2421?> Striking features were extremely high biogenic sulfur
concentrations during LPS15 and shortly after (doy 19 through doy 21; Fig. 9)
in combination with notable Na<inline-formula><mml:math id="M307" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> concentrations around 53 ng m<inline-formula><mml:math id="M308" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
(Fig. S7a). Interestingly, MS<inline-formula><mml:math id="M309" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula>
concentrations first hit a peak (190 ng m<inline-formula><mml:math id="M310" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> on doy 19–20, while the
nss–SO<inline-formula><mml:math id="M311" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> peak (137 ng m<inline-formula><mml:math id="M312" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> succeeded it with a delay of 1 day. Considering the merely daily resolution of the low-volume sampling
procedure (during this event low-volume sampling started and ended at around
16:00), enhanced biogenic sulfur concentrations seemed to arise in the final
stage of LPS15. In addition, <inline-formula><mml:math id="M313" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mi mathvariant="normal">MS</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> was considerably higher compared
to the rest of the season (1.3 <inline-formula><mml:math id="M314" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.9 versus 0.18 <inline-formula><mml:math id="M315" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.03) and
throughout the observation period in 2016 (0.23 <inline-formula><mml:math id="M316" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.13). Thereby
<inline-formula><mml:math id="M317" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mi mathvariant="normal">MS</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> during clear sky conditions was intermediate between those
encountered in coastal regions (Legrand and Pasteur, 1998) and at Concordia
(close to 0.1 from November to April; Legrand et al., 2017a). Concerning
LPS16, on the other hand, notable marine aerosol concentrations (biogenic
sulfur and Na<inline-formula><mml:math id="M318" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>; Figs. 10 and S7b) were
observed, but now clearly in the aftermath of the stormy period.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9"><caption><p id="d1e4050">Time series of the measured MS<inline-formula><mml:math id="M319" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> and nss–SO<inline-formula><mml:math id="M320" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>
concentrations as well as the MS<inline-formula><mml:math id="M321" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M322" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> nss–SO<inline-formula><mml:math id="M323" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> mass ratio
<inline-formula><mml:math id="M324" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mi mathvariant="normal">MS</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> from bulk aerosol (low volume) sampling during the campaign
2015. The period of LPS15 is shaded in yellow.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2413/2018/acp-18-2413-2018-f09.png"/>

        </fig>

      <p id="d1e4126"><?xmltex \hack{\newpage}?>Figures 11 and 12 show the size-segregated composition of the aerosol
derived from impactor samples taken 2015 and 2016. Note that
in case of 2016 we could not assign particular impactor results to LPS16 due
to the short duration of this event compared to the sampling period. In Fig. 11,
percentage entries denote the portion of the corresponding ion mass in
the size range &gt; 1 <inline-formula><mml:math id="M325" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m (super-micrometer or coarse mode)
calculated from the inverted profiles. Generally consistent with
comparable measurements conducted at Concordia (Legrand et al., 2017a), a
significantly larger part of MS<inline-formula><mml:math id="M326" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> compared to nss–SO<inline-formula><mml:math id="M327" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>
resided in the coarse mode, resulting in higher <inline-formula><mml:math id="M328" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mi mathvariant="normal">MS</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> ratios there
(range: 0.4 up to 2.3 during LPS15 when MSA reached 190 ng m<inline-formula><mml:math id="M329" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>; Fig. 13).
Concerning sea salt aerosol, nearly half of the Na<inline-formula><mml:math id="M330" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> mass was
present as sub-micrometer aerosol (Fig. 11). On the whole, ion balance
considerations (again inevitably neglecting HNO<inline-formula><mml:math id="M331" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> indicated acidic
sub-micrometer aerosol, while in super-micrometer samples
nss–SO<inline-formula><mml:math id="M332" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> and MS<inline-formula><mml:math id="M333" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> were roughly counterbalanced by Na<inline-formula><mml:math id="M334" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>
and NH<inline-formula><mml:math id="M335" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, which is in agreement with previous results from Concordia during
summer (Becagli et al., 2012; Legrand et al., 2017a). However, ion balance
results appeared not as clear-cut as found in the bulk low-volume Teflon–nylon filter combination samples: for sub-micrometer aerosol the mean excess
anionic portion was merely 0.074 neq m<inline-formula><mml:math id="M336" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in 2015 and 0.03 neq m<inline-formula><mml:math id="M337" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
in 2016, while for super-micrometer aerosol we found a mean excess cation
part of 0.015 neq m<inline-formula><mml:math id="M338" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (2015) and 0.084 neq m<inline-formula><mml:math id="M339" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (2016). There are
two main plausible reasons for this discrepancy: (i) a more pronounced loss
of acidic gases from the impactor foils and (ii) an efficient sampling of
gaseous HCl and HNO<inline-formula><mml:math id="M340" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> on nylon filters (Piel, 2004; Piel et al.,
2006). Again during LPS15, impactor results (covered mainly by
the first and partly by the second impactor sampling period) exhibited some
conspicuous features: particle mass size distributions (PMSDs) for MS<inline-formula><mml:math id="M341" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula>
appeared somewhat broader and a considerably greater part of
nss–SO<inline-formula><mml:math id="M342" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> and NH<inline-formula><mml:math id="M343" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> resided in the super-micrometer
mode (Fig. 11). Regarding the 2016 campaign, impactor results (Fig. 12)
were apparently comparable to the 2015 campaign for prevailing clear sky
conditions (covered by impactor samples 3–5; Fig. 11).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10"><caption><p id="d1e4349">Time series of the measured MS<inline-formula><mml:math id="M344" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> and nss–SO<inline-formula><mml:math id="M345" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>
concentrations as well as the MS<inline-formula><mml:math id="M346" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M347" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> nss–SO<inline-formula><mml:math id="M348" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> mass ratio
<inline-formula><mml:math id="M349" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mi mathvariant="normal">MS</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> from bulk aerosol (low volume) sampling during the campaign
2016. The period of LPS16 is shaded in yellow.</p></caption>
          <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2413/2018/acp-18-2413-2018-f10.png"/>

        </fig>

</sec>
</sec>
<?pagebreak page2422?><sec id="Ch1.S4">
  <title>Discussion</title>
<sec id="Ch1.S4.SS1">
  <title>Case study LPS15: cyclone-induced marine air advection and NPF</title>
<sec id="Ch1.S4.SS1.SSS1">
  <title>Bulk and size-segregated chemical composition</title>
      <p id="d1e4442">In Dronning Maud Land cyclone-driven marine air intrusions are infrequent,
sporadic events that are often associated with high precipitation rates
(Birnbaum et al., 2006; Schlosser et al., 2010; Welker et al., 2014; Kurita
et al., 2016). Such a cyclone-induced advection of marine boundary layer air
masses towards the Antarctic Plateau had essentially coined the physical and
chemical properties of the aerosol on-site, most noticeably by a maximum of
biogenic sulfur concentrations and the occurrence of an NPF event. During a
previous similar general weather situation at Kohnen (10 and 11 January
2002; LPS02), Piel et al. (2006) reported even strikingly higher
nss–SO<inline-formula><mml:math id="M350" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> (1100 ng m<inline-formula><mml:math id="M351" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and MS<inline-formula><mml:math id="M352" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> (350 ng m<inline-formula><mml:math id="M353" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>
maxima, though about 48 h after the passing of the frontal system and the transition
from marine to continental air mass origin. In contrast to the LPS15, LPS02
came along with heavy snowfall (Birnbaum et al., 2006). Another peculiarity
of our recent observations was a preceding and well-defined MS<inline-formula><mml:math id="M354" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> peak
pursued by a distinct nss–SO<inline-formula><mml:math id="M355" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> maximum (Fig. 9) compared to
their simultaneous emergence in the aftermath of LPS02 described in Piel
et al. (2006). Given that MS<inline-formula><mml:math id="M356" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> should have been primarily formed by
heterogeneous liquid-phase chemistry prevalent in the marine boundary layer
(Legrand et al., 2001; Bardouki et al., 2002; Hoffmann et al., 2016), the
segregated MS<inline-formula><mml:math id="M357" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> peak indicated a temporary and efficient advection of
such air masses. In addition, a striking peak of the sea salt tracer
Na<inline-formula><mml:math id="M358" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> appeared along with the MS<inline-formula><mml:math id="M359" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> maximum (Supplement,  Fig. S7), emphasizing the impact of marine boundary layer air masses during this
part of LPS15. Note that Na<inline-formula><mml:math id="M360" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> remained at typical mean concentrations
around 7 ng m<inline-formula><mml:math id="M361" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> during the former biogenic sulfur maximum between 14 and
15 January 2002 (Piel, 2004).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F11"><caption><p id="d1e4584">Results from size-segregated (Berner impactor) sampling during
the campaign 2015. Bold reddish lines are the mass size distributions during
LPS15. Percentage entries in the legend denote the portion of the
corresponding ion mass in the size range &gt; 1 <inline-formula><mml:math id="M362" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m
(super-micrometer or coarse mode) calculated from the inverted profiles.
The bold gray line is the median mass size distribution of the corresponding
ion.</p></caption>
            <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2413/2018/acp-18-2413-2018-f11.png"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F12"><caption><p id="d1e4602">Results from size-segregated (Berner impactor) sampling during
the campaign 2016 with the following mass portion of the respective ions in
the super-micrometer range (&gt; 1 <inline-formula><mml:math id="M363" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m): MS<inline-formula><mml:math id="M364" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> 14 % <bold>(a)</bold>,
nss–SO<inline-formula><mml:math id="M365" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> 3 % <bold>(b)</bold>, Na<inline-formula><mml:math id="M366" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> 46 % <bold>(c)</bold>, and NH<inline-formula><mml:math id="M367" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>
15 % <bold>(d)</bold>. The bold gray line is the median mass size distribution of the
corresponding ion.</p></caption>
            <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2413/2018/acp-18-2413-2018-f12.png"/>

          </fig>

      <p id="d1e4677">The 5-day back trajectories confirmed these conclusions (Fig. 14; starting
point 100 m above Kohnen): air masses during LPS15 were generally marine 2
to 3 days before arrival at Kohnen. Trajectories representing doy 19
(NPF event; reddish and yellow traces in Fig. 14a) spent several hours
within the marine boundary layer close to the East Antarctic coast before
arrival at Kohnen, largely following the contour lines of the local
topography. All trajectories started under cyclonic curvature, finally
approaching Kohnen in an anticyclonic bow from northerly directions (Fig. 14).
In order to estimate the reliability of this trajectory-based finding,
we repeated the calculations with an initial height of 10 m above Kohnen,
calculated trajectory ensembles, and made an extra attempt using the
isentropic approach instead of the 3-D wind field from GDAS data
(Figs. S8–S10). Though appreciable differences
regarding the geographic location of the corresponding source regions and
trajectory course were obvious, in the end the basic aforementioned
implications appeared consistent. In contrast to this finding, air masses
originated and stayed within continental Antarctica during the biogenic
sulfur peaks observed during 14 and 15 January 2002 (Piel et al., 2006),
which could be confirmed by a reanalysis with HYSPLIT trajectories
based on NCEP meteorological data (Fig. S11). Similar
air mass trajectories (not shown) were<?pagebreak page2423?> observed during and in the aftermath
of a short stormy period LPS16, which was again characterized by enhanced
Na<inline-formula><mml:math id="M368" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> and biogenic sulfur loadings (Figs. 10 and S7b).</p>
      <p id="d1e4689">Regarding the chemical composition of the aerosol during the final stage of
LPS15, subsequent increasing nss–SO<inline-formula><mml:math id="M369" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> along with declining
MS<inline-formula><mml:math id="M370" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> concentrations indicated a minor importance of liquid-phase
chemistry (Hoffmann et al., 2016). We may speculate that intrusions of
marine boundary layer into the so-called buffer layer were responsible for
the efficient advection of gaseous DMS photooxidation products like SO<inline-formula><mml:math id="M371" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>
and DMSO (Davis et al., 1998; Russel et al., 1998). Russel et al. (1998)
assumed that the buffer layer typically extends from the turbulent marine
boundary layer (400 to 700 m) up to a capping inversion (1400 to 1900 m). While
transported to continental Antarctica, gas-phase photooxidation
processes should have dominated, leading finally to a preferred formation of
H<inline-formula><mml:math id="M372" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>SO<inline-formula><mml:math id="M373" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> at the expense of MSA (Preunkert et al., 2008). This
plausible but subtle transport route could not be unequivocally deduced from
respective backward trajectory analyses because in the case at hand the
presence and the extent of a buffer layer could not be ascertained from
available meteorological data.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F13"><caption><p id="d1e4745">Mean size-segregated results for the
MS<inline-formula><mml:math id="M374" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M375" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> nss–SO<inline-formula><mml:math id="M376" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> mass ratio <inline-formula><mml:math id="M377" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mi mathvariant="normal">MS</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> determined for each of
the five impactor stages for both seasons and for the event LPS15.</p></caption>
            <?xmltex \igopts{width=170.716535pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2413/2018/acp-18-2413-2018-f13.pdf"/>

          </fig>

      <p id="d1e4796">Another conspicuous point was the comparatively large part of MS<inline-formula><mml:math id="M378" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula>,
most notably NH<inline-formula><mml:math id="M379" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, found in coarse-mode aerosol during LPS15
(11.5  and 39 %, respectively; Fig. 11). Apart from post-sampling
reactions on the first two impactor stages, which could not be entirely
excluded, preceding heterogeneous processes in the atmosphere, i.e.,
the acidification of sea salt particle surfaces and subsequent chemisorption of
(basic) NH<inline-formula><mml:math id="M380" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, should be a more realistic explanation. Though MS<inline-formula><mml:math id="M381" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula>
added up to merely 0.03  compared to 0.072 nmol m<inline-formula><mml:math id="M382" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
NH<inline-formula><mml:math id="M383" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> in coarse aerosol during LPS15, other acidic gases (probably
HNO<inline-formula><mml:math id="M384" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>, but according to our data only to a minor extent H<inline-formula><mml:math id="M385" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>SO<inline-formula><mml:math id="M386" display="inline"><mml:mrow><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>
reacted with coarse-mode sea salt particles and scavenged gaseous NH<inline-formula><mml:math id="M387" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula>.
Previous size-segregated aerosol sampling at Concordia revealed that coarse-mode ammonium was primarily present as sulfate or methane sulfonate salts,
while nitrate was of minor importance (Becagli et al., 2012). During the
Japanese–Swedish joint Antarctic expedition (JASE), on the other
hand, Hara et al. (2014) reported H<inline-formula><mml:math id="M388" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>SO<inline-formula><mml:math id="M389" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula>- and MSA-modified sea
salt particles close to the coast, while farther inland most probably the
reaction with HNO<inline-formula><mml:math id="M390" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> dominated. According to recent year-round
investigations at Concordia, however, it appears that the competing role of
HNO<inline-formula><mml:math id="M391" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> vs. acidic sulfur aerosol is more complicated: regarding coarse-mode sea salt particles, only during midsummer and late summer does sulfuric aerosol
and not HNO<inline-formula><mml:math id="M392" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> become the preferred acidic reactant (Legrand et al.,
2017b).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F14"><caption><p id="d1e4950">The 5-day backward trajectories during the NPF event calculated
with a trajectory starting height of 100 m above Kohnen at the points in
time given in the legend <bold>(a)</bold>. Below, the travel height above the ground (local
topography) is illustrated in a color-coded scale (point interval 1 h) <bold>(b)</bold>.</p></caption>
            <?xmltex \igopts{width=199.169291pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2413/2018/acp-18-2413-2018-f14.pdf"/>

          </fig>

      <p id="d1e4966">In conclusion it is worthwhile to consider the results from Neumayer. This
coastal site was governed by the same low-pressure system (LPS15) provoking
a blizzard there around 19 January 2015. From there, daily low-volume
sampling (Teflon–nylon filter combination), CP concentration (measured with
a CPC 3022A, TSI; <inline-formula><mml:math id="M393" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mrow><mml:mi mathvariant="normal">p</mml:mi><mml:mo>(</mml:mo><mml:mn mathvariant="normal">50</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="italic">%</mml:mi><mml:mo>)</mml:mo></mml:mrow></mml:msub><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 7 nm), and meteorological data were
available. Again, biogenic sulfur (particularly MS<inline-formula><mml:math id="M394" display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, Na<inline-formula><mml:math id="M395" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>, and CP
concentrations showed distinctive maxima though about 1 day after the
LPS15 (Fig. S12), similar to the previous situation
described by Piel et al. (2006). Consequently we can assume that this
characteristic weather situation transported marine aerosol throughout DML.
But in contrast to Kohnen the impact of LPS15 on the delayed particle
concentration and ionic composition maxima at<?pagebreak page2424?> Neumayer was less pronounced.
Pant et al. (2010) concluded from previous particle concentration and size
distribution data measured at coastal Maitri that during the impact of
cyclones, coarse-mode sea salt aerosol increased by an order of magnitude
compared to calm weather conditions, which is similar to our results during LPS15
(Table 2).</p>
</sec>
<sec id="Ch1.S4.SS1.SSS2">
  <title>NPF, particle growth, and size-segregated chemical composition</title>
      <p id="d1e5019">Obviously the most striking feature during LPS15 was a distinctive NPF
event. The closed shape of PNSD, starting with a modal maximum not less
than 12 nm, implied that the actual particle nucleation event should have
occurred upwind of Kohnen. Assuming a constant growth rate of 0.6 nm
h<inline-formula><mml:math id="M396" 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> throughout advection to the measuring site, particle nucleation
thus happened about 20 h before, i.e., according to backward trajectories
roughly 700 km away from Kohnen at 73<inline-formula><mml:math id="M397" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> S, 19<inline-formula><mml:math id="M398" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E and 160 m
above the ground (all virtually independent from the choice of the starting
height). Note that the observed particle growth was confined to the
nucleation mode and consequently did not reach a size range potentially
relevant for acting as CCN. As described in Weller et al. (2015), NPF events
at Neumayer generally showed almost comparable growth rates. Therein we used
a simple estimate based on Nieminen et al. (2010) and Yli-Juuti et al. (2011)
that demonstrated the need for condensable vapors other than sulfuric
acid to sustain the observed particle growth (Weller et al., 2015). We
employed the same approach in connection with the NPF event at Kohnen
(i.e., Eq. 3 in Weller et al., 2015, using <inline-formula><mml:math id="M399" display="inline"><mml:mrow><mml:mi>T</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 250 K), resulting in
1.4 <inline-formula><mml:math id="M400" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M401" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">7</mml:mn></mml:msup></mml:math></inline-formula> molec cm<inline-formula><mml:math id="M402" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> gaseous H<inline-formula><mml:math id="M403" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:math></inline-formula>SO<inline-formula><mml:math id="M404" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> necessary for
the determined growth rate of 0.6 nm h<inline-formula><mml:math id="M405" 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>. Again, this appeared at least
an order of magnitude too high compared to the respective values published
(e.g., Mauldin III et al., 2004), emphasizing the importance of other yet
unknown condensable vapors, most probably low-volatility organic compounds
(Metzger et al., 2010; Tröstl et al., 2016). Interestingly, Kyrö et
al. (2013) identified biogenic emissions by nearby melting ponds as a
potential source for condensable vapor. The surroundings of Kohnen,
however, are completely ice covered throughout as typical for the Antarctic
Plateau region. The nearest rocky outcrops are more than 200 km away.</p>
      <p id="d1e5121">In this context it is interesting to compare our results with previous PNSD
measurements conducted at the South Pole during two summer campaigns (Park et
al., 2004) and year-round observations at Concordia (Järvinen et al.,
2013). Results from the South Pole showed similar PNSDs with mean a <inline-formula><mml:math id="M406" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>
between 60  and 98 nm (Park et al., 2004, Table 4 therein), while PNSDs at
Concordia were appreciably lower with <inline-formula><mml:math id="M407" display="inline"><mml:mrow><mml:msub><mml:mi>D</mml:mi><mml:mi mathvariant="normal">p</mml:mi></mml:msub><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 39 nm (Järvinen et
al., 2013). Järvinen et al. (2013) could detect NPF throughout the year
under condensation sink values of around 1.8 <inline-formula><mml:math id="M408" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 10<inline-formula><mml:math id="M409" 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> s<inline-formula><mml:math id="M410" 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>, comparable
to the condensation sink range found at Kohnen. At Concordia, NPF events
with a determinable growth rate were not connected with low-pressure systems
but essentially observed under air mass advection from the upper atmosphere
(Järvinen et al., 2013). This fact indicates that also at Kohnen, NPF
may potentially occur during clear sky conditions, but could not be detected
within our admittedly limited observation period. Furthermore, the growth rates
determined so far at coastal sites (Virkkula et al., 2007; Asmi et al.,
2010; Kyrö et al., 2013; Weller et al., 2015) appeared comparable to GR
reported from continental Antarctica (Järvinen et al., 2013; Chen et
al., 2017) and were within a similar broad range between 0.2 and up to 8.8 nm h<inline-formula><mml:math id="M411" 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>.</p>
      <p id="d1e5192">Pant et al. (2010) presented a detailed analysis about the impact of passing
cyclones on particle size distributions at coastal Maitri. The authors
observed bimodal PNSD with a coarse-mode maxima around 2 <inline-formula><mml:math id="M412" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m and a
broad Aitken mode between 0.04  and 0.1 <inline-formula><mml:math id="M413" display="inline"><mml:mi mathvariant="normal">µ</mml:mi></mml:math></inline-formula>m when a storm
approached the site. Occasionally NPF occurred just after the passage of a
cyclone associated with particle growth rates between 0.2 and 0.6 nm h<inline-formula><mml:math id="M414" 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>.
From meteorological data the authors conclude that the observed
NPF events were linked with the mixing of marine and continental air during
the subsidence of free tropospheric air after the storm (Pant et al., 2010).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F15"><caption><p id="d1e5223">Daily 10-day backward trajectories (3-D approach, starting height
100 m) during clear sky conditions in 2016 (doy 12 to doy 31, <inline-formula><mml:math id="M415" display="inline"><mml:mrow><mml:mi>N</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">80</mml:mn></mml:mrow></mml:math></inline-formula>).
Shown is the relative (percentage) number of trajectory intersections on a
given grid cell (resolution 1<inline-formula><mml:math id="M416" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M417" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 1<inline-formula><mml:math id="M418" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>).</p></caption>
            <?xmltex \igopts{width=170.716535pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2413/2018/acp-18-2413-2018-f15.png"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F16"><caption><p id="d1e5272">Daily 20-day backward trajectories (3-D approach, starting height
100 m) during clear sky conditions in 2016 (doy 12 to doy 31, <inline-formula><mml:math id="M419" display="inline"><mml:mrow><mml:mi>N</mml:mi><mml:mo>=</mml:mo></mml:mrow></mml:math></inline-formula> 80).
Shown is the relative (percentage) number of trajectory intersections on a
given grid cell (resolution 1<inline-formula><mml:math id="M420" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M421" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 1<inline-formula><mml:math id="M422" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>).</p></caption>
            <?xmltex \igopts{width=170.716535pt}?><graphic xlink:href="https://acp.copernicus.org/articles/18/2413/2018/acp-18-2413-2018-f16.png"/>

          </fig>

</sec>
</sec>
<?pagebreak page2425?><sec id="Ch1.S4.SS2">
  <title>The standard case: clear sky conditions and aged aerosol</title>
      <p id="d1e5323">On the one hand, LPS15 was attended with an expeditious advection of marine
boundary layer air, leading to an enhanced entry of marine aerosol and
secondary aerosol precursors, highly variable PNSD, and an NPF event. On the
other hand, clear sky conditions largely prevailed during our recent campaign, but
also during previous summer campaigns (Piel et al., 2006). The present
observations at Kohnen showed that throughout this characteristic synoptic
situation, appreciably lower particle number concentrations restricted
within the accumulation mode were typical. Concerning the ionic composition,
MS<inline-formula><mml:math id="M423" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> and Na<inline-formula><mml:math id="M424" display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> concentrations were considerably lower
compared to their maxima accompanied with the impact of LPS15 (Figs. 9 and
S7a) in contrast to virtually constant, though
highly variable mean NH<inline-formula><mml:math id="M425" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> concentrations (5.2 <inline-formula><mml:math id="M426" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2.6 ng m<inline-formula><mml:math id="M427" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>
in 2015 and 17.9 <inline-formula><mml:math id="M428" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6 ng m<inline-formula><mml:math id="M429" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> in 2016). We have no
explanation at hand for the approximately threefold higher mean NH<inline-formula><mml:math id="M430" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>
concentrations in 2016, but the results presented in Piel et al. (2006) also
showed large annual fluctuations. We finally calculated a mass ratio of
NH<inline-formula><mml:math id="M431" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> to nss–SO<inline-formula><mml:math id="M432" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">4</mml:mn></mml:msub></mml:math></inline-formula> of 0.06 for 2015 and 0.15 for 2016. At least
the former value was in the range of what was concurrently observed at
Neumayer in January 2015. Most probably, atmospheric NH<inline-formula><mml:math id="M433" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> <inline-formula><mml:math id="M434" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> NH<inline-formula><mml:math id="M435" display="inline"><mml:mrow><mml:msubsup><mml:mi/><mml:mn mathvariant="normal">4</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>
ratios were correspondingly variable depending on the availability of acidic
trace gases (note that NH<inline-formula><mml:math id="M436" display="inline"><mml:msub><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msub></mml:math></inline-formula> could not be captured by the sampling
methods used).</p>
      <p id="d1e5466">Turning towards biogenic sulfur aerosol, <inline-formula><mml:math id="M437" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mi mathvariant="normal">MS</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> ratios decreased to
values around 0.2 under clear sky conditions, as is typical for continental
Antarctica (Piel et al., 2006; Weller and Wagenbach, 2007; Preunkert et al.,
2008; Becagli et al., 2012), while during LPS15, <inline-formula><mml:math id="M438" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mi mathvariant="normal">MS</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> was more
comparable to coastal sites like Neumayer and Dumont D'Urville (Legrand and
Pasteur, 1998).</p>
      <p id="d1e5491">The air mass history during clear sky conditions was assessed by
composite backward trajectory calculations and is summarized in Fig. 15.
Even 10 days before arrival at Kohnen with a characteristic
anticyclonic curvature, trajectory origins remained principally inside the
Antarctic continent and thus remote from marine source regions. Varying
initial start height did not essentially change this general feature, but
employing the isentropic instead of the 3-D approach showed an increased
relevance of marine source regions (see Fig. S13).
Upon extending the trajectory travel time to 20 days, the origin of the air
masses eventually became marine (Fig. 16), covering a large part of the
Southern Ocean, except the western part of the Weddell Sea and the
Bellingshausen Sea. The relevance of air mass transport via the free
troposphere was difficult to assess, mainly due to the generally highly
variable and poorly characterized depth of the marine boundary layer and
especially the vertical extent of the atmospheric boundary layer over
Antarctica. According to Russell et al. (1998), the border between the
marine boundary layer and the free troposphere typically varies between 1400
and 1900 m, while on the Antarctic Plateau only a shallow atmospheric
boundary layer of no more than a few hundred meters is typical (Van As et
al., 2006). Inspection of the calculated trajectories revealed
that they typically originated within the marine boundary layer (i.e., mainly
below 1500 m) and essentially stayed below 500 m above the ground across
continental Antarctica.</p>
      <p id="d1e5494">Surprisingly, while the amount of sea salt aerosol was highly variable, the
super-micrometer-mode fraction of sea salt aerosol remained constant at
around 50 % during rapid and efficient marine boundary layer air mass
advection under LPS15 and during long-range transport under clear sky
conditions (Figs. 11 and 12). Since our sea salt mass size distribution
also appeared similar to that typically observed at Concordia (Jourdain et
al., 2008; Legrand et al., 2017b),<?pagebreak page2426?> we infer that the transport of coarse-mode
sea salt particles to continental Antarctica was generally inefficient,
regardless of the general weather situation and transport time. Finally, the
fact that observed <inline-formula><mml:math id="M439" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mi mathvariant="normal">MS</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> ratios were in general higher in the coarse
mode (supported by measurements in coastal Antarctica by
Teinilä et al., 2000, and Rankin and Wolff, 2003) implied a preferential loss of MS<inline-formula><mml:math id="M440" display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula>
during transport towards the Antarctic Plateau region. In contrast, recent
results from Concordia give strong evidence for a preferential photochemical
depletion of MSA in the atmosphere above the plateau during austral summer
(Legrand et al., 2017a) but less indication for fractional loss en route.
Nevertheless, both processes of fractionation and photochemistry could be
potential explanations for typically lower <inline-formula><mml:math id="M441" display="inline"><mml:mrow><mml:msub><mml:mi mathvariant="italic">β</mml:mi><mml:mi mathvariant="normal">MS</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> ratios commonly
found in continental Antarctica compared to the coastal regions (Piel et
al., 2006; Weller and Wagenbach, 2007; Preunkert et al., 2008).</p>
</sec>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <title>Conclusions</title>
      <p id="d1e5536">We measured aerosol size distributions and conducted bulk and size-segregated aerosol sampling during two summer campaigns at the continental
Antarctic station Kohnen. This extended approach allowed for a detailed synopsis
of the physical and chemical properties of summer aerosol in this region.
For the first time, the impact of passing cyclones on aerosol
advection into the Antarctic Plateau region was examined. Based on these
admittedly still limited investigations, we may conclude that during austral
summer, the transport of marine aerosol to Kohnen in particular and to
continental DML in general was mediated by two different synoptic
situations: (i) the impact of low-pressure systems in the western part of the
South Atlantic associated with temporarily exceptional marine aerosol
concentrations and (ii) persistent long-range transport providing a background
aerosol level during clear sky conditions over DML. In the present study, a
distinct low-pressure event (LPS15) was additionally associated with NPF.
Under prevailing clear sky conditions, on the other hand, aged aerosol and less
aerosol (by mass and number concentration) entered DML in air masses that
were typically continental for about 10 days before. We tentatively infer
that our recent observation, i.e., NPF and peaking marine aerosol
concentrations during LPS15, could be of fortuitous occurrence since
unexpectedly just the trace compounds seemed to hardly be depleted by
precipitation. In contrast, during the mentioned blizzard in 2002
(LPS02) reported by Piel et al. (2006), biogenic sulfur concentrations
stayed first quite low but peaked at about 48 h in the aftermath of the
storm. Though we refer to two recent and three previous studies, just three
LPS and one pronounced NPF event occurred that could be analyzed in detail,
emphasizing their sporadic nature. Hence, a worthwhile confirmation of our
conclusions would clearly require similar investigations at this site. Such
effort is important to better understand the role of biogenic aerosol in
general and in particular the impact of NPF events on regional climate
forcing.</p>
      <p id="d1e5539">Though the efficient transport of biogenic sulfur (and also sea salt)
aerosol to continental DML may be associated with cyclonic activity in the
South Atlantic, in the long run the crucial transport pathway of marine
aerosol during austral summer should be long-range transport under typical
clear sky conditions. In particular for biogenic sulfur, showing a
pronounced summer maximum (Weller and Wagenbach, 2007), we suppose that
transport to DML, deposition, and final storage in firn and glacial
ice will be dominated by prevailing clear sky conditions. Thus dry
deposition, but to an only minor extent wet deposition (partly associated
with clear sky precipitation), would be decisive. Consequently future
research activities should also envisage assessing dry deposition velocities
at this site, e.g., by gradient and/or eddy correlation studies (Grönlund
et al., 2002; Contini et al., 2010). On the other hand, retrieving
meaningful historic aerosol concentrations from ice core archives also needs
a thorough consideration of snow accumulation since snow accumulation
co-determines trace compound concentrations in firn and ice (Fischer et al.,
1998), which is evidently governed by the infrequent impact of low-pressure
systems (Birnbaum et al., 2006; Schlosser et al., 2010; Welker et al., 2014;
Kurita et al., 2016). Finally, trajectory analyses indicated that a large
part of the Southern Ocean should be considered as a potential source region
representative of aerosol deposition in continental DML in contrast to
coastal Neumayer where the dominance of the South Atlantic was evident
(Minikin et al., 1998).</p>
</sec>

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

      <p id="d1e5546">Data from both campaigns reported here are available at
<ext-link xlink:href="https://doi.org/10.1594/PANGAEA.882375" ext-link-type="DOI">10.1594/PANGAEA.882375</ext-link> (Weller et al., 2017) for scientific purposes. In this case, we
expect collaboration with Rolf Weller (contact: rolf.weller@awi.de).</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e5552">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/acp-18-2413-2018-supplement" xlink:title="pdf">https://doi.org/10.5194/acp-18-2413-2018-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="competinginterests">

      <p id="d1e5561">The authors declare that they have no conflict of interest.</p>
  </notes><ack><title>Acknowledgements</title><?pagebreak page2427?><p id="d1e5567">The authors would especially like to thank all technicians present at Kohnen
Station, namely Holger Schubert, Torsten Langenkämper, and last but not
least,
Jens Köhler, whose outstanding engagement actually enabled both air
chemistry campaigns at this site. We are thankful to the NOAA Air Resources
Laboratory for having made available the HYSPLIT trajectory calculation
program and all the input data files used. We thank Kevin Manning for
providing us with weather charts based on the Antarctic Mesoscale Prediction
System (AMPS). Finally, we appreciate the two anonymous reviewers for their
helpful comments.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?> The article processing
charges for this open-access <?xmltex \hack{\newline}?> publication were covered by a
Research <?xmltex \hack{\newline}?> Centre of the Helmholtz Association. <?xmltex \hack{\newline}?><?xmltex \hack{\newline}?> Edited by: Yves Balkanski <?xmltex \hack{\newline}?> Reviewed by: two
anonymous referees</p></ack><ref-list>
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    <!--<article-title-html>Size distribution and ionic composition of marine summer aerosol at the continental Antarctic site Kohnen</article-title-html>
<abstract-html><p>We measured aerosol size distributions and conducted bulk and
size-segregated aerosol sampling during two summer campaigns in January
2015 and January 2016 at the continental Antarctic station Kohnen (Dronning
Maud Land). Physical and chemical aerosol properties differ conspicuously
during the episodic impact of a distinctive low-pressure system in 2015
(LPS15) compared to the prevailing clear sky conditions. The approximately 3-day LPS15 located in the eastern Weddell Sea
was associated
with the following: marine boundary layer air mass intrusion; enhanced condensation
particle concentrations (1400&thinsp;±&thinsp;700&thinsp;cm<sup>−3</sup> compared to 250&thinsp;±&thinsp;120&thinsp;cm<sup>−3</sup>
under clear sky conditions; mean&thinsp;±&thinsp;SD); the occurrence of a
new particle formation event exhibiting a continuous growth of particle
diameters (<i>D</i><sub>p</sub>) from 12 to 43&thinsp;nm over 44&thinsp;h (growth rate
0.6&thinsp;nm&thinsp;h<sup>−1</sup>);
peaking methane sulfonate (MS<sup>−</sup>), non-sea-salt sulfate
(nss–SO<sub>4</sub><sup>2−</sup>), and Na<sup>+</sup> concentrations (190&thinsp;ng&thinsp;m<sup>−3</sup>&thinsp;MS<sup>−</sup>,
137&thinsp;ng&thinsp;m<sup>−3</sup> nss–SO<sub>4</sub><sup>2−</sup>, and 53&thinsp;ng&thinsp;m<sup>−3</sup>&thinsp;Na<sup>+</sup>
compared to 24&thinsp;±&thinsp;15, 107&thinsp;±&thinsp;20, and
4.1&thinsp;±&thinsp;2.2&thinsp;ng&thinsp;m<sup>−3</sup>, respectively, during clear sky conditions); and
finally an increased MS<sup>−</sup>&thinsp;∕&thinsp;nss–SO<sub>4</sub><sup>2−</sup> mass ratio <i>β</i><sub>MS</sub>
of 0.4 up to 2.3 (0.21&thinsp;±&thinsp;0.1 under clear sky conditions) comparable to
typical values found at coastal Antarctic sites. Throughout the observation
period a larger part of MS<sup>−</sup> could be found in super-micron aerosol
compared to nss–SO<sub>4</sub><sup>2−</sup>, i.e., (10&thinsp;±&thinsp;2) % by mass compared
to (3.2&thinsp;±&thinsp;2) %, respectively. On the whole, under clear sky
conditions aged aerosol characterized by usually mono-modal size
distributions around <i>D</i><sub>p</sub> = &thinsp;60&thinsp;nm was observed. Although our
observations indicate that the sporadic impacts of coastal cyclones were
associated with enhanced marine aerosol entry, aerosol deposition
on-site during austral summer should be largely dominated by typical steady
clear sky conditions.</p></abstract-html>
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