<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing with OASIS Tables v3.0 20080202//EN" "journalpub-oasis3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" xml:lang="en" dtd-version="3.0" article-type="research-article">
  <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-21-8979-2021</article-id><title-group><article-title>Measurement report: Altitudinal variation of cloud condensation nuclei activation across the
Indo-Gangetic Plain prior to monsoon onset and during peak monsoon periods: results from the<?xmltex \hack{\break}?> SWAAMI field campaign</article-title><alt-title>CCN activation across the IGP</alt-title>
      </title-group><?xmltex \runningtitle{CCN activation across the IGP}?><?xmltex \runningauthor{M.~R. Manoj et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Manoj</surname><given-names>Mohanan R.</given-names></name>
          <email>manojshibika@gmail.com</email>
        <ext-link>https://orcid.org/0000-0002-8155-777X</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2 aff5">
          <name><surname>Satheesh</surname><given-names>Sreedharan K.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Moorthy</surname><given-names>Krishnaswamy K.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Trembath</surname><given-names>Jamie</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4">
          <name><surname>Coe</surname><given-names>Hugh</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-3264-1713</ext-link></contrib>
        <aff id="aff1"><label>1</label><institution>Divecha Centre for Climate Change, Indian Institute of Science, Bangalore, India</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Centre for Atmospheric and Oceanic Sciences, Indian Institute of
Science, Bangalore, India</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>FAAM Airborne Laboratory, Cranfield MK43 0AL, UK</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>Centre for Atmospheric Science, School of Earth and Environmental
Sciences, University of Manchester, <?xmltex \hack{\break}?>Manchester, UK</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>DST-Centre of Excellence in Climate Change, Indian Institute of Science,  Bangalore, India</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Mohanan R. Manoj (manojshibika@gmail.com)</corresp></author-notes><pub-date><day>14</day><month>June</month><year>2021</year></pub-date>
      
      <volume>21</volume>
      <issue>11</issue>
      <fpage>8979</fpage><lpage>8997</lpage>
      <history>
        <date date-type="received"><day>1</day><month>December</month><year>2020</year></date>
           <date date-type="rev-request"><day>29</day><month>December</month><year>2020</year></date>
           <date date-type="rev-recd"><day>23</day><month>April</month><year>2021</year></date>
           <date date-type="accepted"><day>8</day><month>May</month><year>2021</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2021 </copyright-statement>
        <copyright-year>2021</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://acp.copernicus.org/articles/.html">This article is available from https://acp.copernicus.org/articles/.html</self-uri><self-uri xlink:href="https://acp.copernicus.org/articles/.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/.pdf</self-uri>
      <abstract><title>Abstract</title>
    <p id="d1e149">Vertical distributions (altitude profiles) of condensation nuclei (CN) and cloud condensation nuclei (CCN) and their
spatial variations across the Indo-Gangetic Plain (IGP) have been
investigated based on airborne measurements carried out during the SWAAMI field campaign (June to July 2016) capturing the contrasting phases of the
Indian monsoon activity in 2016 just prior to its onset and during its active phase. Prior to the monsoon onset, high concentrations of CN and CCN
prevailed across the IGP, and the profiles revealed frequent occurrence of elevated layers (in the altitude range 1–3 km). Highest concentrations and
elevated peaks with high values occurred over the central IGP. The scenario
changed dramatically during the active phase of the monsoon, when the CN and
CCN concentrations dropped (CN by 20 % to 30 % and CCN by 6 % to 25 %)
throughout the IGP with more pronounced changes at altitudes higher than 3 km where decreases as high as <inline-formula><mml:math id="M1" display="inline"><mml:mi mathvariant="italic">&gt;</mml:mi></mml:math></inline-formula> 80 % were observed. These
reductions have an east-to-west decreasing gradient, being most remarkable in the eastern IGP and very weak over the western IGP where the CN
concentrations above 3 km increased during the monsoon. The activation
ratios (ARs) showed contrasting features, increasing with increase in altitude, prior to the onset of monsoon, reversing the trend to decrease
with increase in altitude during the active phase of the monsoon. The
supersaturation spectrum became flatter during the active phase of the
monsoon, indicating an increase in the hygroscopicity of aerosols following the mixing of surface-based emissions with the advected marine air mass.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e168">Spatio-temporal characteristics of aerosols and their interactions with
clouds respectively are key parameters determining the direct and indirect
climate forcing by aerosols (Twomey, 1974; Albrecht, 1989; Stocker et al.,
2013). Uncertainties associated with the spatial distribution and temporal
variations in the physical and chemical properties of aerosols limit our
ability to accurately quantify the climate impact of aerosols. Extensive
research in recent decades has led to significant reduction in the uncertainties by improving the characterization of aerosols, especially in the perspective of interaction with radiation (Stocker et al., 2013;
Bellouin et al., 2020). Nevertheless, the indirect effect of aerosols on
climate through aerosol–cloud interactions remains largely uncertain (Stocker et al., 2013; Rosenfeld et al., 2014; Fan et al., 2016). It is
fairly well established that the radiative effects of aerosols on clouds mostly act to suppress precipitation through a decrease in the solar radiation reaching the surface<?pagebreak page8980?> (Trenberth et al., 2009). Aerosols reduce the
heat available for evaporating water and energizing convective rain clouds by scattering and absorbing radiation and by modifying cloud properties.
Intrusion of a large number of fine aerosols into clouds can inhibit
precipitation by slowing down the conversion of cloud drops into raindrops,
which might prevent very shallow and short-lived clouds from precipitation (Rosenfeld et al., 2008; Rosenfeld et al., 2014). The opposite scenario of
aerosol–cloud interactions leading to the invigoration of clouds and vigorous precipitation has also been reported, even over moderately polluted
environments (Lebo and Seinfeld, 2011; Altaratz et al., 2014; Koren et al.,
2014).</p>
      <p id="d1e171">Thus, activation of aerosol particles for inducing cloud formation remains a
topic of intense investigation, as aerosols, through their effects on clouds, can induce large changes in precipitation patterns. Changes in precipitation
patterns, in turn, would affect the regional water resources as well as the
regional and global circulation systems that constitute the Earth's climate
(Song et al., 2014). As such, this knowledge assumes a lot of interest and
importance. The fractions of the aerosols or condensation nuclei (CN) acting as nucleation sites for cloud droplets are known as cloud condensation
nuclei (CCN). The variations in the CCN properties are strongly influenced
by the number size distribution and chemical composition of aerosols (Dusek
et al., 2006; Hudson, 2007; Gunthe et al., 2009; Rose et al., 2011). CCN
activation depends on the critical diameter required for activation, which
in turn depends on the hygroscopicity of aerosols, determined by their
chemical composition. Despite concerted efforts to understand the
aerosol–cloud interactions and the associated feedback mechanisms in the atmosphere, large uncertainties still exist (McFiggans et al., 2006; Andreae
and Rosenfeld, 2008; Stevens and Feingold, 2009). This mainly arises from
the region-specific and heterogeneous nature of aerosols, their vertical
mixing and advection to long distances in the real atmosphere, and
sparseness of in situ measurements of the vital parameters of CCN, such as the vertical distribution of the CCN number concentration, CCN efficiency and
its variation with supersaturation (SS) (Seinfeld et al., 2016).</p>
      <p id="d1e174">Over the Indian sub-continent, the columnar aerosol loading is increasing
steadily (Babu et al., 2013), while changes are also observed in the rainfall pattern, with significant decreasing trends in moderate rainfall events and
increasing trends in extreme rainfall events (Goswami et al., 2006;
Guhathakurta et al., 2015). Since aerosols modulate the monsoon circulation
and rainfall distribution (Gautam et al., 2009), the observed changes in
aerosol loading and precipitation patterns are of utmost interest. Studies
from different parts of India tried to understand the properties of the regional aerosols, like their chemistry, CCN activity and hygroscopic properties. However, most of these studies were ground-based, focusing on case studies or long-term measurements on seasonality. Studies from Kanpur,
in the central Indo-Gangetic Plain (IGP), looked into inter-seasonal variability due to changes in the size and chemical composition of aerosols (Patidar et al., 2012; Bhattu
and Tripathi, 2014) and the hygroscopic nature of aerosols (Bhattu et al., 2016), while Ram et al. (2014) showed the role of primary and non-hygroscopic aerosols in the weakening of the diurnal variations of the CCN
activation despite large variations in the CN and CCN concentrations. Arub
et al. (2020) characterized the chemical composition and size distributions
of aerosols in Delhi, situated in the central IGP, and showed the impacts of
air masses coming from different locations on the hygroscopicity and CCN
activation. The seasonal variations of CCN properties revealed significant
influence of aerosols transported from the IGP in modulating the aerosol–cloud interactions over Nainital, located in the Himalayas (Dumka et al., 2015; Gogoi et al., 2015). Similar observations were also reported from
Darjeeling, a high-altitude site in the eastern Himalayas (Roy et al., 2017), revealing the impact of aerosol transport from the IGP on the CCN
properties. The observations from a high-altitude site, Mahabaleshwar, located in the southern part of India, revealed large seasonal variations of
CCN and a significant role of organics in the CCN activation (Leena et al., 2016; Singla et al., 2017). The observations from Gadanki, in southern India
(Shika et al., 2020), revealed a shift in the regimes of CCN activation and
cloud formation from the pre-monsoon to monsoon season, which has important implications for cloud droplet formation. Measurements of CN and CCN over a
rain shadow region, Solapur in central India, carried out as part of the CAIPEEX campaign (Jayachandran et al., 2020a), revealed variations in the CCN characteristics within the monsoon period. Jayachandran et al. (2017)
characterized the CCN properties at Thiruvananthapuram, a coastal location in southern India, while Jayachandran et al. (2018) reported contrasting
characteristics of CCN properties over Ponmudi, a hill station in
Thiruvananthapuram in comparison to a nearby coastal location.</p>
      <p id="d1e177">In this context, improved knowledge of the vertical distribution of CCN
properties is all the more important. However, such measurements are not
abundant globally and are sparse over the Indian region, though a few airborne direct and indirect measurements have been made in recent years. Using airborne lidar measurements, Satheesh et al. (2008) have shown
the role of elevated aerosol layers over the Indian peninsula in producing
large heating at 4 to 5 km altitude, just above the low-level clouds during the pre-monsoon season. During 2009, airborne atmospheric measurements of vertical profiles of aerosols, clouds and meteorological parameters extending up to 7 km above sea level (a.s.l.) were carried out over different
parts of India as part of Cloud Aerosol Interactions and Precipitation
Enhancement EXperiment (CAIPEEX) (Prabha et al., 2011; Kulkarni et al.,
2012; Padmakumari et al., 2013). In situ measurements of CN and CCN were also carried out during the Indian Tropical Convergence Zone (ITCZ)
campaign during the monsoon period in 2009 (Srivastava et al., 2013). However, the majority of these measurements remained confined to different
phases of<?pagebreak page8981?> the monsoon season in different years so that the changes in the
CCN characteristics as the season transits from dry summer to the wet monsoon season remained largely elusive.</p>
      <p id="d1e181">The joint Indo-UK field experiment, SWAAMI, was formulated in the above backdrop, aiming at filling the knowledge gaps related to the properties of
aerosols over the Indian region and its relation to the Indian summer monsoon (ISM) by making in situ measurements of aerosol and cloud
properties, immediately before monsoon onset and during its active phase
using instrumented aircraft (Manoj et al., 2019, and references therein). The campaign was executed jointly by the Ministry of Earth Sciences (MoES)
of India, the Indian Space Research Organisation (ISRO) and the Natural
Environment Research Council (NERC) of the UK and employed UK's BAe-146-301
Atmospheric Research Aircraft. This was closely preceded by airborne measurements of aerosol properties across the IGP aboard an Indian aircraft up to an altitude of <inline-formula><mml:math id="M2" display="inline"><mml:mrow><mml:mo>∼</mml:mo><mml:mn mathvariant="normal">3.5</mml:mn></mml:mrow></mml:math></inline-formula> km (Jayachandran et al., 2020a;
Vaishya et al., 2018). Our study provides altitude-resolved CCN properties at higher altitudes compared to Jayachandran et al. (2020a) and explores the
impact of chemical composition reported by concurrent measurements (Brooks et
al., 2019a) on the CCN properties. The campaign details along with the
measurement protocols are briefly stated below (more details are available
in Manoj et al., 2019), followed by the results and discussions.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Data and methodology</title>
      <p id="d1e202">The airborne measurements of the SWAAMI campaign were carried out in three phases extending from 11 June  to 11 July 2016 (Brooks et al., 2019a;
Manoj et al., 2019) aboard the BAe-146-301 atmospheric research aircraft operated by Facility for Airborne Atmospheric Measurements (FAAM) BAe-146 (Highwood et al., 2012; Johnson et al., 2012). During these, data
were collected over an altitude range from very close to the surface to as
high as 8 km. This study reports the measurements carried out during Phase 1 (just prior to the onset of the Indian summer monsoon (ISM), hereinafter
called “pre-onset”) and Phase 3 (during its active phase) across the IGP covering its western, central and eastern parts and capturing the transition of aerosol properties from dry to wet climatic zones. The measurements also covered parts of central India. Details of the
measurements are summarized in Table 1. The airborne measurements focused on three locations, Lucknow (LCK – 26.84<inline-formula><mml:math id="M3" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 80.94<inline-formula><mml:math id="M4" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E;
126 m a.s.l.) in the central IGP and Jaipur/Jodhpur (JPR – 26.91<inline-formula><mml:math id="M5" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 75.78<inline-formula><mml:math id="M6" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E; 431 m a.s.l.; JDR –   26.23<inline-formula><mml:math id="M7" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 73.02<inline-formula><mml:math id="M8" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E; 233 m a.s.l.) located at the southern tip of the western IGP and Bhubaneswar (BBR – 20.29<inline-formula><mml:math id="M9" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 85.82<inline-formula><mml:math id="M10" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E; 58 m a.s.l.) located just
south of the eastern boundary of the IGP along the eastern coast of India, though the base station for all the measurements was Lucknow. Measurements
were also made around two locations in central India, Nagpur (NGP – 21.14<inline-formula><mml:math id="M11" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 79.08<inline-formula><mml:math id="M12" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E; 310 m a.s.l.) during Phase 1 and Ahmedabad (AMD – 23.02<inline-formula><mml:math id="M13" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N, 75.57<inline-formula><mml:math id="M14" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E; 53 m a.s.l.) during Phase 3.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e318">Details of measurements.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="8">
     <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="left"/>
     <oasis:colspec colnum="5" colname="col5" align="left"/>
     <oasis:colspec colnum="6" colname="col6" align="left"/>
     <oasis:colspec colnum="7" colname="col7" align="left"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Sl. no.</oasis:entry>
         <oasis:entry colname="col2">Date</oasis:entry>
         <oasis:entry colname="col3">Phase</oasis:entry>
         <oasis:entry colname="col4">Flight code</oasis:entry>
         <oasis:entry colname="col5">Section</oasis:entry>
         <oasis:entry colname="col6">Region covered</oasis:entry>
         <oasis:entry colname="col7">Track</oasis:entry>
         <oasis:entry colname="col8">Location</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">1</oasis:entry>
         <oasis:entry colname="col2">11 June</oasis:entry>
         <oasis:entry colname="col3">1</oasis:entry>
         <oasis:entry colname="col4">B956</oasis:entry>
         <oasis:entry colname="col5">A</oasis:entry>
         <oasis:entry colname="col6">LCK to JPR</oasis:entry>
         <oasis:entry colname="col7">West of LCK</oasis:entry>
         <oasis:entry colname="col8">80.3 <inline-formula><mml:math id="M15" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.3, 27.1 <inline-formula><mml:math id="M16" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">B</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">West of JPR</oasis:entry>
         <oasis:entry colname="col8">75.3 <inline-formula><mml:math id="M17" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0, 26.5 <inline-formula><mml:math id="M18" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">C</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">East-to-west JPR</oasis:entry>
         <oasis:entry colname="col8">76.9 <inline-formula><mml:math id="M19" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.8, 27.6 <inline-formula><mml:math id="M20" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">2</oasis:entry>
         <oasis:entry colname="col2">12 June</oasis:entry>
         <oasis:entry colname="col3">1</oasis:entry>
         <oasis:entry colname="col4">B957</oasis:entry>
         <oasis:entry colname="col5">A</oasis:entry>
         <oasis:entry colname="col6">LCK to BBR</oasis:entry>
         <oasis:entry colname="col7">East of LCK</oasis:entry>
         <oasis:entry colname="col8">81.2 <inline-formula><mml:math id="M21" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.3, 26.4 <inline-formula><mml:math id="M22" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">B</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">BBR</oasis:entry>
         <oasis:entry colname="col8">85.6 <inline-formula><mml:math id="M23" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1, 20.4 <inline-formula><mml:math id="M24" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">C</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">North-west of BBR</oasis:entry>
         <oasis:entry colname="col8">83.8 <inline-formula><mml:math id="M25" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.6, 22.9 <inline-formula><mml:math id="M26" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.3</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">D</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">East of LCK</oasis:entry>
         <oasis:entry colname="col8">83.0 <inline-formula><mml:math id="M27" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0, 25.0 <inline-formula><mml:math id="M28" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">E</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">East of LCK</oasis:entry>
         <oasis:entry colname="col8">81.1 <inline-formula><mml:math id="M29" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1, 26.5 <inline-formula><mml:math id="M30" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">3</oasis:entry>
         <oasis:entry colname="col2">13 June</oasis:entry>
         <oasis:entry colname="col3">1</oasis:entry>
         <oasis:entry colname="col4">B958</oasis:entry>
         <oasis:entry colname="col5">A</oasis:entry>
         <oasis:entry colname="col6">NGP to BLR</oasis:entry>
         <oasis:entry colname="col7">South of LCK</oasis:entry>
         <oasis:entry colname="col8">80.5 <inline-formula><mml:math id="M31" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1, 26.4 <inline-formula><mml:math id="M32" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">B</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">NGP</oasis:entry>
         <oasis:entry colname="col8">78.8 <inline-formula><mml:math id="M33" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1, 20.6 <inline-formula><mml:math id="M34" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.3</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">C</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">South of NGP</oasis:entry>
         <oasis:entry colname="col8">79.2 <inline-formula><mml:math id="M35" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2, 20.2 <inline-formula><mml:math id="M36" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">4</oasis:entry>
         <oasis:entry colname="col2">2 July</oasis:entry>
         <oasis:entry colname="col3">3</oasis:entry>
         <oasis:entry colname="col4">B969</oasis:entry>
         <oasis:entry colname="col5">A</oasis:entry>
         <oasis:entry colname="col6">LCK to JPR</oasis:entry>
         <oasis:entry colname="col7">LCK</oasis:entry>
         <oasis:entry colname="col8">80.5 <inline-formula><mml:math id="M37" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.3, 27.1 <inline-formula><mml:math id="M38" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">B</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">JDR</oasis:entry>
         <oasis:entry colname="col8">73.9 <inline-formula><mml:math id="M39" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.7, 26.4 <inline-formula><mml:math id="M40" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">C</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">JDR to JPR</oasis:entry>
         <oasis:entry colname="col8">76.3 <inline-formula><mml:math id="M41" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.5, 27.1 <inline-formula><mml:math id="M42" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.4</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">E</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">LCK</oasis:entry>
         <oasis:entry colname="col8">80.8 <inline-formula><mml:math id="M43" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2, 26.7 <inline-formula><mml:math id="M44" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">5</oasis:entry>
         <oasis:entry colname="col2">3 July</oasis:entry>
         <oasis:entry colname="col3">3</oasis:entry>
         <oasis:entry colname="col4">B970</oasis:entry>
         <oasis:entry colname="col5">A</oasis:entry>
         <oasis:entry colname="col6">LCK to JPR</oasis:entry>
         <oasis:entry colname="col7">LCK</oasis:entry>
         <oasis:entry colname="col8">80.3 <inline-formula><mml:math id="M45" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.3, 27.1 <inline-formula><mml:math id="M46" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">B</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">JDR</oasis:entry>
         <oasis:entry colname="col8">72.9 <inline-formula><mml:math id="M47" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0, 26.1 <inline-formula><mml:math id="M48" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">C</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">JDR to JPR</oasis:entry>
         <oasis:entry colname="col8">76.3 <inline-formula><mml:math id="M49" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 1.8, 27.0 <inline-formula><mml:math id="M50" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.5</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">D</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">West of LCK</oasis:entry>
         <oasis:entry colname="col8">79.4 <inline-formula><mml:math id="M51" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2, 27.3 <inline-formula><mml:math id="M52" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">E</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">LCK</oasis:entry>
         <oasis:entry colname="col8">80.7 <inline-formula><mml:math id="M53" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2, 26.8 <inline-formula><mml:math id="M54" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">6</oasis:entry>
         <oasis:entry colname="col2">4 July</oasis:entry>
         <oasis:entry colname="col3">3</oasis:entry>
         <oasis:entry colname="col4">B971</oasis:entry>
         <oasis:entry colname="col5">A</oasis:entry>
         <oasis:entry colname="col6">LCK to BBR</oasis:entry>
         <oasis:entry colname="col7">LCK</oasis:entry>
         <oasis:entry colname="col8">81.3 <inline-formula><mml:math id="M55" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.3, 26.4 <inline-formula><mml:math id="M56" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">B</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">BBR</oasis:entry>
         <oasis:entry colname="col8">86.1 <inline-formula><mml:math id="M57" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1, 19.8 <inline-formula><mml:math id="M58" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">C</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">BBR to LCK</oasis:entry>
         <oasis:entry colname="col8">85.2 <inline-formula><mml:math id="M59" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.7, 20.8 <inline-formula><mml:math id="M60" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.7</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">D</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">BBR to LCK</oasis:entry>
         <oasis:entry colname="col8">83.5 <inline-formula><mml:math id="M61" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2, 23.1 <inline-formula><mml:math id="M62" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.7</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">E</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">LCK</oasis:entry>
         <oasis:entry colname="col8">81.2 <inline-formula><mml:math id="M63" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1, 26.5 <inline-formula><mml:math id="M64" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">7</oasis:entry>
         <oasis:entry colname="col2">5 July</oasis:entry>
         <oasis:entry colname="col3">3</oasis:entry>
         <oasis:entry colname="col4">B972</oasis:entry>
         <oasis:entry colname="col5">A</oasis:entry>
         <oasis:entry colname="col6">LCK to JPR</oasis:entry>
         <oasis:entry colname="col7">LCK</oasis:entry>
         <oasis:entry colname="col8">80.3 <inline-formula><mml:math id="M65" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.3, 27.2 <inline-formula><mml:math id="M66" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">B</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">JDR</oasis:entry>
         <oasis:entry colname="col8">73.8 <inline-formula><mml:math id="M67" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.8, 26.3 <inline-formula><mml:math id="M68" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">C</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">JDR to JPR</oasis:entry>
         <oasis:entry colname="col8">74.5 <inline-formula><mml:math id="M69" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.8, 26.5 <inline-formula><mml:math id="M70" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">D</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">North of JPR</oasis:entry>
         <oasis:entry colname="col8">76.4 <inline-formula><mml:math id="M71" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.3, 27.1 <inline-formula><mml:math id="M72" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">E</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">West of LCK</oasis:entry>
         <oasis:entry colname="col8">79.1 <inline-formula><mml:math id="M73" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.6, 27.4 <inline-formula><mml:math id="M74" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">F</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">LCK</oasis:entry>
         <oasis:entry colname="col8">80.5 <inline-formula><mml:math id="M75" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2, 26.8 <inline-formula><mml:math id="M76" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">8</oasis:entry>
         <oasis:entry colname="col2">6 July</oasis:entry>
         <oasis:entry colname="col3">3</oasis:entry>
         <oasis:entry colname="col4">B973</oasis:entry>
         <oasis:entry colname="col5">A</oasis:entry>
         <oasis:entry colname="col6">LCK to JPR</oasis:entry>
         <oasis:entry colname="col7">LCK</oasis:entry>
         <oasis:entry colname="col8">80.3 <inline-formula><mml:math id="M77" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.4, 27.2 <inline-formula><mml:math id="M78" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.5</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">B</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">JPR</oasis:entry>
         <oasis:entry colname="col8">75.3 <inline-formula><mml:math id="M79" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0, 26.8 <inline-formula><mml:math id="M80" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">C</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">South of JPR</oasis:entry>
         <oasis:entry colname="col8">75.3 <inline-formula><mml:math id="M81" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0, 26.3 <inline-formula><mml:math id="M82" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.3</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">D</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">JPR</oasis:entry>
         <oasis:entry colname="col8">75.4 <inline-formula><mml:math id="M83" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0, 25.9 <inline-formula><mml:math id="M84" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">E</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">East of JPR</oasis:entry>
         <oasis:entry colname="col8">76.4 <inline-formula><mml:math id="M85" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.3, 26.9 <inline-formula><mml:math id="M86" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">F</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">West of LCK</oasis:entry>
         <oasis:entry colname="col8">79.5 <inline-formula><mml:math id="M87" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.9, 27.0 <inline-formula><mml:math id="M88" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.2</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">9</oasis:entry>
         <oasis:entry colname="col2">7 July</oasis:entry>
         <oasis:entry colname="col3">3</oasis:entry>
         <oasis:entry colname="col4">B974</oasis:entry>
         <oasis:entry colname="col5">A</oasis:entry>
         <oasis:entry colname="col6">LCK to AMD</oasis:entry>
         <oasis:entry colname="col7">LCK</oasis:entry>
         <oasis:entry colname="col8">80.7 <inline-formula><mml:math id="M89" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1, 26.2 <inline-formula><mml:math id="M90" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.3</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">B</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">SE of AMD</oasis:entry>
         <oasis:entry colname="col8">74.8 <inline-formula><mml:math id="M91" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.3, 22.4 <inline-formula><mml:math id="M92" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">C</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">East of AMD</oasis:entry>
         <oasis:entry colname="col8">76.4 <inline-formula><mml:math id="M93" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.3, 22.9 <inline-formula><mml:math id="M94" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">D</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">East of AMD</oasis:entry>
         <oasis:entry colname="col8">77.0 <inline-formula><mml:math id="M95" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1, 23.1 <inline-formula><mml:math id="M96" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4"/>
         <oasis:entry colname="col5">F</oasis:entry>
         <oasis:entry colname="col6"/>
         <oasis:entry colname="col7">LCK</oasis:entry>
         <oasis:entry colname="col8">80.7 <inline-formula><mml:math id="M97" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.0, 26.6 <inline-formula><mml:math id="M98" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.1</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e1983">The Phase 1 measurements covered regions around Lucknow, making east–west transects across the IGP covering Jaipur (west) and Bhubaneswar (east), and proceeded to the central Indian region, Nagpur. The third phase covered the
above transect (except Nagpur) and made additional measurements near Ahmedabad. During measurements the aircraft maintained a typical ascend rate
of 5.5 m s<inline-formula><mml:math id="M99" 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 descend rate of 6.5 m s<inline-formula><mml:math id="M100" 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>, thereby providing data
at a high vertical resolution of <inline-formula><mml:math id="M101" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 7 m. The horizontal
velocity of the aircraft has been typically <inline-formula><mml:math id="M102" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 100 m s<inline-formula><mml:math id="M103" 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>,
which means that a typical ascent of the aircraft from near the surface to
<inline-formula><mml:math id="M104" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 7 km covers a horizontal distance of roughly 130 km. The
descriptive statistics were performed after separating the data vertically into 300 m blocks. During the campaign the aircraft made 22
dedicated scientific flights spanning approximately 100 h in three
phases: Phase-1: 11  to 13 June 2016 (three flights; <inline-formula><mml:math id="M105" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 12 h, just prior to onset of monsoon) and Phase-3:  2 July to 11 July 2016 (nine flights: <inline-formula><mml:math id="M106" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 40 h, during the active phase of the monsoon), while Phase 2 was meant for other objectives not related to aerosols. A list of the aerosol instruments aboard, the parameters retrieved
from the measurements, the relevant reference to the principle of instrument
and data deduction details, general aircraft data and met data is provided in Manoj et al. (2019) and references therein. The detailed flight tracks are given in the Supplement (Figs. S1 and S2).</p>
      <p id="d1e2059">The aerosols sampled in this study were collected using a Rosemount inlet.
The CN concentration was estimated using a modified water-filled Condensation Particle Counter (CPC) TSI 3786. Operating at a flow rate of 0.6 L min<inline-formula><mml:math id="M107" 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>, it can detect particles in the
size range 2.5 nm to <inline-formula><mml:math id="M108" display="inline"><mml:mi mathvariant="italic">&gt;</mml:mi></mml:math></inline-formula> 3 <inline-formula><mml:math id="M109" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>m and can measure concentrations
up to 10<inline-formula><mml:math id="M110" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">5</mml:mn></mml:msup></mml:math></inline-formula> particles cm<inline-formula><mml:math id="M111" 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 CCN concentration was measured using a dual-column cloud condensation nuclei counter (Droplet Measurement Technologies Inc. CCN-200), which is a
continuous-flow stream-wise thermal gradient chamber (CFSTGC) instrument. The
CCN counter operated at a flow rate of 1 L min<inline-formula><mml:math id="M112" 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 the flow is evenly split between the two columns. The sample-to-sheath flow ratio is set to <inline-formula><mml:math id="M113" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula>, which leaves 0.05 L min<inline-formula><mml:math id="M114" 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 each column for sampling. The samples flowing to
the CCN counter and CPC first pass through a Nafion dryer (Permapure MD-110-12S), which prevents condensation in the sample lines. The mean RH of
the ambient and sample lines during pre-onset were 49.7 % and 28.7 %
and those during monsoon measurements were 73.5 % and 54.4 %
respectively for ambient and sample lines. To gain as much information as
possible from a flight, the instrument was set up to have one column scanning three different supersaturations (0.12 %, 0.23 % and 0.34 %), and the
other was stable (0.1 %), providing four different supersaturations every 15 min. More details are provided in the Supplement. Details of
the principle of operation of the CCN counter are available elsewhere
(Roberts and Nenes, 2005; Lance et al.,<?pagebreak page8982?> 2006). More details on the inlet,
the plumbing and working of the CPC and CCN counter are given in Trembath (2013).</p>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Synoptic meteorology during the campaign</title>
      <p id="d1e2155">In 2016, the monsoon onset was delayed by a week; the onset at the southern
tip of the Indian peninsula occurred on 8 June. The rainfall for the
season however was near normal, about 97 % of the long-term average for the season (Purohit and Kaur, 2016). Consequent to this delayed onset, monsoon<?pagebreak page8983?> arrived at LCK only on 21 June and covered the entire Indian
region by 13 July (climatologically, this should occur towards the end of
June). The meteorological wind fields at 850 hPa from the ERA-Interim
reanalysis of the European Centre for Medium Range Weather Forecasts (Dee et
al., 2011) was used to show the advance of the south-western monsoon during the two phases of measurements (Fig. 1).</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F1" specific-use="star"><?xmltex \currentcnt{1}?><?xmltex \def\figurename{Figure}?><label>Figure 1</label><caption><p id="d1e2160">The advance of monsoon and the synoptic wind field at 850 hPa during <bold>(a)</bold> Phase 1 and <bold>(b)</bold> Phase 3 of the SWAAMI campaign. The red dotted line indicates the northern limit of monsoon.</p></caption>
        <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/8979/2021/acp-21-8979-2021-f01.png"/>

      </fig>

      <p id="d1e2175">The spatial distributions of accumulated rainfall for the respective phases as well as for the preceding 1 week are shown in Fig. 2, based on the high-resolution (0.25<inline-formula><mml:math id="M115" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M116" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.25<inline-formula><mml:math id="M117" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>) rain data (Pai et al.,
2014) provided by the Indian Meteorological Department during the campaign
period. The total rainfall (in millimetres) received over the northern part of India (<inline-formula><mml:math id="M118" display="inline"><mml:mi mathvariant="italic">&gt;</mml:mi></mml:math></inline-formula> 25<inline-formula><mml:math id="M119" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N) during 4–10 June (1 week before the commencement of Phase 1 of the SWAAMI campaign, Fig. 2a) resulted from a
few isolated rain events to the north of JPR and LCK leaving central India and the majority of the IGP without any rain. Some isolated rain events occurred in the vicinity of NGP, while BBR received moderate rainfall prior to the
Phase 1 measurements. The accumulated rainfall during Phase 1 measurements (11–13 June) is shown in Fig. 2b. Apart from the isolated rainfall in the vicinity of JPR and NGP, the other locations hardly received any rain.</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><?xmltex \def\figurename{Figure}?><label>Figure 2</label><caption><p id="d1e2222">Accumulated rainfall for the periods <bold>(a)</bold> 4–10 June (1 week
prior to Phase 1 measurements), <bold>(b)</bold> 11–13 June (during Phase 1 measurements), <bold>(c)</bold> 25 June to 1 July (1 week prior to Phase 3 measurements) and <bold>(d)</bold> 2–7 July (during Phase 3 measurements of the SWAAMI campaign).</p></caption>
        <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/8979/2021/acp-21-8979-2021-f02.png"/>

      </fig>

      <p id="d1e2243">However, by the third phase of the campaign, the monsoon was established in
the northern parts of India and the IGP. The total rainfall received in the vicinity of the measurement regions during the period 25 June to
1 July, i.e. 1 week before the Phase 3 measurements, is shown in Fig. 2c. JDR and BBR received moderate rainfall during this period, while LCK, JPR and AMD received much less rain. However, during the Phase 3 measurements the main regions under study received weak/moderate rainfall (Fig. 2d).</p>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Results and discussions</title>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>Observations during Phase 1 – pre-onset phase</title>
      <p id="d1e2261">As stated earlier, during this phase, the measurements were made centred
about LCK, JPR, BBR and NGP. Subsequently to the delayed onset, monsoon did not advance even to the southernmost of these locations (NGP) prior to Phase 1 (Fig. 1a). As such, Phase 1 measurements corresponded to conditions just
prior to onset of the monsoon (pre-onset) at all the locations and across
the IGP. The mean vertical profiles of CN and CCN concentrations were estimated using five profiles for LCK and two profiles each for the other three locations. The altitude variations of the mean concentrations of CN and
size-integrated CCN at 0.1 % SS and the corresponding activation ratio
(AR) at 0.1 % SS for all four locations are shown in Fig. 3. The mean supersaturation was 0.099 <inline-formula><mml:math id="M120" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.005, with 95 % of the points within
the interval 0.098 and 0.100. The activation curves for ambient aerosols
will not follow that of ammonium sulfate particles if they are externally mixed, and for SS <inline-formula><mml:math id="M121" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.1 % the dry diameter of ambient aerosols would be in the range 75–125 nm (Deng et al., 2011). The CCN number-size distribution
curve will peak above 200 nm with the maximum size of the CCN close to 600 nm at SS <inline-formula><mml:math id="M122" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.1 % (Gunthe et al., 2009).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><?xmltex \currentcnt{3}?><?xmltex \def\figurename{Figure}?><label>Figure 3</label><caption><p id="d1e2287">The number concentrations of the CN, CCN at 0.1 %
supersaturation and AR over LCK, JPR, BBR and NGP are shown in <bold>(a)</bold>,
<bold>(b)</bold>, <bold>(c)</bold> and <bold>(d)</bold> respectively. The activation ratio gives the fraction of the
total aerosols which can be converted to CCN at 0.1 % supersaturation.</p></caption>
          <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/8979/2021/acp-21-8979-2021-f03.png"/>

        </fig>

      <p id="d1e2308">Being the centre of operations, measurements were made around LCK
(representing the central IGP) on all three days (11, 12 and 13 June). As such, the mean profiles of CN, CCN and AR shown in Fig. 3a provide the best statistical dataset (spatially and temporally averaged) for
pre-onset conditions over the central IGP. The highest CN concentration (<inline-formula><mml:math id="M123" display="inline"><mml:mi mathvariant="italic">&gt;</mml:mi></mml:math></inline-formula> 3500 cm<inline-formula><mml:math id="M124" 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>) occurred near the surface and decreased rather
monotonically towards higher altitudes to reach values of <inline-formula><mml:math id="M125" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1800 and <inline-formula><mml:math id="M126" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 100 cm<inline-formula><mml:math id="M127" 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 at 1  and 6 km. Variations (represented by the standard deviations) are higher closer to
the surface. Vertical variation of CCN concentration (blue line) followed
the pattern observed in CN up to an altitude of 1.5 km, and above that CCN
showed an increase with a couple of peaks (marked by the ellipse in the
figure) in the altitude range 1.5 to 3.5 km. At higher levels, the variation
of CCN again followed the pattern of CN. The activation ratio was low
(<inline-formula><mml:math id="M128" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 0.08) near the surface and remained steady until about 2 km, above which it increased rather sharply to reach a value of <inline-formula><mml:math id="M129" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.15 at 3 km and remained nearly steady towards higher
altitudes. This sudden increase in the AR appears to be responsible for the
observed peaks in CCN concentration (despite the decrease in CN) in the
altitude range of 1.5 km to <inline-formula><mml:math id="M130" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2.5 km and is indicative of the
presence of a different aerosol type prevailing above <inline-formula><mml:math id="M131" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1.5 to
2 km, which is more CCN-active in nature. CCN concentrations are more sensitive to hygroscopicity in comparison to mixing state at low SS
(<inline-formula><mml:math id="M132" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 0.15 %) (Meng et al., 2014).</p>
      <p id="d1e2393">The nearly concurrent characteristics of CCN over the semi-arid region of
the western IGP are examined in Fig. 3b based on the measurements around
JPR on 11 June. While the nature of the altitude variation of CN and
CCN is similar to that observed at LCK, the overall CN and CCN
concentrations are lower, and the elevated peaks (occurring above 2 km) are sharper and seen on both CN and CCN concentrations. Again, the activation
ratio is slightly higher (<inline-formula><mml:math id="M133" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 0.1 closer to the surface) and increases steadily with altitude, reaching around 0.15 at 3 km. However,
here the data are limited up to about 3.2 km only.</p>
      <?pagebreak page8985?><p id="d1e2403">Moving over to the eastern IGP, represented by BBR, Fig. 3c shows the
altitude variations based on measurements made on 12 June. Differing
slightly from the pattern seen in the western and central IGP regions, the vertical variations in AR are weaker in this region. In general, CN and CCN
showed variations similar to those at LCK and JPR, with higher values near the surface and lower values at higher altitudes. The highest CN <inline-formula><mml:math id="M134" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> CCN
concentration (<inline-formula><mml:math id="M135" display="inline"><mml:mrow><mml:mn mathvariant="normal">2264</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">184</mml:mn></mml:mrow></mml:math></inline-formula> cm<inline-formula><mml:math id="M136" 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>) was observed near the peak below to 1 km.
Two elevated peaks (the first near 1 km and the second near 3 km) occur in the concentrations of both CN and CCN. The second peak is much broader,
extending from 2.5  to 3.5 km, with high CN and CCN concentrations of 1845
and 161 cm<inline-formula><mml:math id="M137" 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. The activation ratio at lower altitudes (<inline-formula><mml:math id="M138" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 0.1) is higher than the corresponding values at LCK and
closer to those seen at JPR. However, there is little variation in the AR up
to an altitude of 4.5 km.</p>
      <p id="d1e2456">Altitude variations of the mean CN concentration, CCN concentration and AR
over the central Indian region, from measurements around NGP, made on 13 June between 12:45 and 13:45 local time, are shown in Fig. 3d.
The profiles show a nearly steady CN concentration in the lower-altitude region of 500 to 2500 m and decrease thereafter, reaching low values close
to 200 cm<inline-formula><mml:math id="M139" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> at <inline-formula><mml:math id="M140" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 4.2 km and then remaining nearly steady up to 5.7 km. In the lower-altitude region, CCN decreases with altitude, then reveals a peak around 2.5 km and then decreases monotonically. The
activation ratio remained low (<inline-formula><mml:math id="M141" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 0.08) and nearly steady up to
2.5 km and then increased to 0.15 above 3 km (somewhat similar to the
observation over the IGP).</p>
<sec id="Ch1.S4.SS1.SSS1">
  <label>4.1.1</label><title>Regional features of CCN during the pre-onset phase</title>
      <?pagebreak page8986?><p id="d1e2492">The regional picture of the altitude variations of the CN, CCN
(SS <inline-formula><mml:math id="M142" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.1 %) and AR (SS <inline-formula><mml:math id="M143" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.1 %) for the pre-onset phase is shown in
Fig. 4. The most striking feature is that there is a steady increase in
the AR with altitude in the western and central IGP, and the altitude variations are much weaker in central India and almost absent in the eastern IGP, indicating a difference in the aerosol properties across the IGP. Below 2 km
the CN concentrations are highest in the central IGP (where the
anthropogenic emissions are higher), closely followed by the eastern IGP (BBR) and western IGP (JPR), with the lowest values in central India (NGP). The CN
concentrations above 2 km are comparable at all the stations except BBR, where the CN concentrations were high due to the presence of a thick
elevated layer in the 2.5 to 3.5 km region. The main factor controlling the
CCN activation at low SS (<inline-formula><mml:math id="M144" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 0.1 %) is the hygroscopicity of
the particles (Meng et al., 2014), which is determined by its chemical
composition. Gunthe et al. (2009) found that particles with diameters <inline-formula><mml:math id="M145" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 50   and <inline-formula><mml:math id="M146" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 200 nm respectively had
hygroscopicity parameters 0.1 and 0.2 respectively.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><?xmltex \currentcnt{4}?><?xmltex \def\figurename{Figure}?><label>Figure 4</label><caption><p id="d1e2532">Comparison of CN, CCN and AR values at the different
locations during Phase 1 of the campaign. The CCN and AR corresponding to 0.1 % supersaturation are shown.</p></caption>
            <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/8979/2021/acp-21-8979-2021-f04.png"/>

          </fig>

      <p id="d1e2541">The altitude variations of CCN concentrations are not as well defined as
those of CN. Below 1.5 km the CCN concentrations were highest in the eastern IGP (except for a sharp drop in the concentrations near 0.5 km), followed by LCK, JPR and NGP. CCN concentrations increase in the 1.5 to 2.5 km range in all
data except those from NGP. Above 2.5 km, the magnitudes of CCN at various
locations differ widely (though with an overall decreasing trend with
altitude), with the highest concentrations at BBR followed by LCK. The lowest concentrations were observed at NGP, where the values were comparable to JPR
in the 3 to 3.2 km altitude range; measurements above 3.2 km are not
available for JPR.</p>
      <p id="d1e2545">The AR (at SS <inline-formula><mml:math id="M147" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.1 %) clearly indicates two features: (a) the presence of
more CCN-active aerosols at higher altitudes in the western and central IGP as well as central peninsula, which is not seen over the eastern IGP (b) over the most anthropogenically impacted central IGP, two different aerosol types
with a less CCN-active layer below <inline-formula><mml:math id="M148" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2 km, and a more CCN-active layer above leading to a change in the CCN <inline-formula><mml:math id="M149" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> CN ratio in the altitude
region 2 to 3 km. The vertical distribution of the concentrations and the AR
of aerosols had more distinct regionally varying patterns above 3 km. The
increase in the activation ratio above 3 km observed in our study has not
been reported earlier. The regional variations in the CCN concentrations
above 3 km were found to have an east-to-west gradient, with the highest values in the east. To understand the peculiar behaviour of AR over the eastern IGP
with two elevated peaks in the CN and CCN (near 1  and 3 km) and a nearly steady and low value of AR, we examined the air-mass back trajectories in Fig. 5. These clearly reveal that the altitude region of 1.5 to 3 km was
under the influence of distinct advection pathways. One path favours the
advection of more hygroscopic particles (as evidenced by Fig. 3a and b)
from the north-western region (magenta colour in Fig. 5), at around 3 km altitude, while the other encounters less CCN-active aerosols being lofted from close to the ground, from sources in the south-west (central IGP), as it approached BBR (red line in Fig. 5). The presence of less hygroscopic
particles (probably freshly emitted BC) in the lower altitudes <inline-formula><mml:math id="M150" display="inline"><mml:mi mathvariant="italic">&lt;</mml:mi></mml:math></inline-formula> 1 km is seen from Fig. 3a and d (around the central IGP and central peninsula). The mixing of these two types of particles in the altitude region of 1.5 to
2.5 km seems to contribute to the elevated peaks in CN and CCN as well as
the near-steady value of AR in this region, in contrast to the increase seen at other locations. From an independent airborne measurement of CCN
characteristics (again as a part of SWAAMI, using an Indian aircraft) during
the first week of June, a week prior to our measurements, Jayachandran et
al. (2020a) observed almost similar features in the eastern IGP, with the CCN concentrations (at 0.4 % supersaturation) below 1 km being comparable to that in the central IGP, while in the 1 to 3 km range the CCN concentrations were higher compared to the central IGP. The complex interplay of
different advected species appear to be responsible for this, at least
partly. The results by Jayachandran et al. (2020a) are however limited to
the changes happening within the boundary layer and fail to completely capture the elevated aerosol layers which we found to exist even above 3 km.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><?xmltex \currentcnt{5}?><?xmltex \def\figurename{Figure}?><label>Figure 5</label><caption><p id="d1e2578">Three-day back trajectories of the air mass arriving at BBR at altitudes 50 m, 500 m and 1, 2 and 3 km during our measurements.</p></caption>
            <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/8979/2021/acp-21-8979-2021-f05.png"/>

          </fig>

      <p id="d1e2587">It is well known that the CCN concentration strongly depends on the number
size distribution and chemical composition of aerosols, while the
supersaturation spectra depend on the aerosol number size distribution
(Fitzgerald, 1973). If ammonium sulfate and adipic acid with a size of 100 nm are considered, the former can be activated at 0.15 % SS, while the latter can only be activated at 0.27 % SS (Hings et al., 2008; Zhang et al.,
2012). As such, we examined the changes in the chemical composition of
aerosols at BBR, from concurrent measurements by other investigators aboard
the same flight (Brooks et al., 2019a), who have reported a sharp increase
in the concentration of organics near 1 km (Brooks et al., 2019a; Fig. 11c; B957 PM), where our observations show a sharp increase in CCN
concentration and a weak increase in AR, which otherwise remained
featureless (nearly steady at <inline-formula><mml:math id="M151" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.08) in the entire altitude
region. Moving to higher altitudes, measurements by Brooks et al. (2019a,
same figure) have shown a large increase in the concentration of sulfates, NH4, organics and BC in the altitude region of 2.5 to 3 km, where our observations show a broad peak in CN and CCN concentration but with no
perceptible impact on AR. Residential sectors are the main source of
organics in the region, while brick kilns (which use coal and lignite) emit large amounts of sulfates (Pandey et al., 2014). We hypothesize that though the increase in the concentrations of sulfates and organics in this region
was favourable for an increase in AR, the simultaneous increase in BC
(hydrophobic) prevented any conspicuous impact on AR. This is also supported
by the observations by Jayachandran et al. (2020a) of low CCN efficiency
associated with high concentrations of BC based on independent measurements
made a week prior to our measurements. While Jayachandran et al. (2020a) showed that the presence of BC can reduce the activation efficiency of
aerosols in the boundary layer, we found that this also happens at higher altitudes. Consequently, though CN and CCN increase in line with the increase in the concentration of precursor gases (Brooks et al., 2019a), AR
remains nearly unaffected. This did not happen for the peak around 1 km,
because of the lower concentration of BC at that altitude (Brooks et al.,
2019a). Extending the above role of chemistry to the central and western IGP
regions, we recall that Brooks et al. (2019a) showed that within the boundary layer, the concentration of organics (43 %) exceeded the
concentration of sulfates (29 %) in the submicron mass over the central IGP, whereas in the western (JPR/JDR) and eastern (BBR) IGP, sulfate was
the dominant species, contributing<?pagebreak page8987?> 44 %, followed by organics (30 %). However, this distinction was confined within the boundary layer, above
which sulfates dominated throughout the IGP region. This implies that in the central IGP, local emissions contributed significantly at the lower
altitudes. This, at least partly, accounts for the increase in the AR above
the boundary layer seen in both the western and central IGP seen in Figs. 3a and b and 4c. The low activation within the boundary layer, in the
central IGP, appears to be at least partly associated with the high
concentrations of BC (which is hydrophobic in nature when freshly emitted),
emitted by the local sources. Similar observations are also reported by
Jayachandran et al. (2020a) from near-concurrent measurements at Varanasi in the central IGP (close to LCK) aboard another aircraft about 1 week prior to our measurements. Thus, we see that along with advection, the
changes in the chemistry (concentration of precursors) also have a significant role in producing the observed spatial variation of the altitude
profile of CCN characteristics and AR across the IGP prior to onset of
monsoon.</p>
      <p id="d1e2597">During the pre-monsoon period, the entire IGP is extremely hot, with temperatures routinely above 40 <inline-formula><mml:math id="M152" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, going as high as 48 <inline-formula><mml:math id="M153" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C
during the peak. The resulting strong convective mixing distributes local
surface-based emissions deep into the planetary boundary layer (PBL), which itself is deep (going to 2 km or more). Above the PBL, however, long-range
transport has a strong influence on the altitudinal distribution. We
examined the 3 d back trajectories of the air mass reaching LCK (central IGP) and JPR (western IGP) in Figs. S3 to S6. The figures clearly show that while long-range transport had a negligible role below 1 km, it influenced significantly above 2 km. This lends further
support to our inference that in the central IGP the local emission of fresh hydrophobic particles (like BC) is responsible for the low AR within the PBL
(<inline-formula><mml:math id="M154" display="inline"><mml:mi mathvariant="italic">&lt;</mml:mi></mml:math></inline-formula> 2 km), and the long-range transported aerosols including dust, discussed in more detail below, lead to the increase in AR and a subsequent
increase in CCN (despite the decrease in CN) above 2 km. Jayachandran et al.
(2020a) do not cover the transport of aerosols above the boundary layer, which we found were more hygroscopic and<?pagebreak page8988?> more amenable to CCN activation
compared to the boundary layer aerosols.</p>
      <p id="d1e2625">Examining the size distributions, it is well known that during the pre-monsoon, accumulation-mode and coarse-mode particles dominate the
aerosol volume size distribution respectively within and above the PBL in
the central IGP, due to the influence of the prevailing wind, flowing from the arid, dusty regions in the north-west of India (Gautam et al., 2011). The accumulation-mode number concentration was greatest within the boundary
layer, coinciding with high organic aerosol loading. However, in the western
IGP, coarse-mode (dust) aerosols (emitted locally) prevailed at all heights. Concurrent measurements by Brooks et al. (2019b) have shown that the BC
within the boundary layer was not coated thickly (rather freshly emitted), but above the boundary layer the BC had thick coating (aged BC) in both the central and western IGP (LCK and JPR). The relatively larger particles above
the boundary layer are better amenable for activation compared to the
smaller particles within the boundary layer. Observations from the central
Himalayan site, Nainital, located 1958 m above sea level (Dumka et al.,
2015, 2021), revealed that aged and coated BC aerosols (consequently bigger in size), transported to this location from the IGP,
were more hygroscopic compared to freshly emitted BC aerosols. In the
western IGP the CN and CCN variations go hand in hand with a high
correlation coefficient of 0.94. The AR is high and comparable to the values in the central IGP. The increase in AR with altitude is also observed
in the dust-dominated western IGP, similar to the central IGP. Though freshly emitted dust is hydrophobic, they become CCN-active when mixed with other species like sulfates and nitrates (Kelly et al., 2007). It may also be noted that the air mass arriving at this region has considerable overpass
above the Arabian Sea, gathering moisture and allowing the aerosols to mix with marine aerosols, thus enhancing their hygroscopicity (Fig. S3). The
relation of the observed changes in AR with the chemical composition, BC
mixing state and size distribution changes are further investigated in the
coming sections also for the observations during monsoon. The low values of
CN and CCN near NGP (central peninsula) might have been partly due to the rain in the vicinity prior to our measurements. The AR has a weak
altitudinal variation with values increasing above 3 km, indicating a different type of aerosol, but other measurements are not available to
further investigate the observed changes.</p>
      <p id="d1e2629">Summarize the pre-onset scenario.
<list list-type="bullet"><list-item>
      <p id="d1e2634">Elevated aerosol layers are present throughout the IGP region, above 2 km,
and are identified by large increases in the number concentrations of CN and
CCN. However, the AR in these elevated layers did not show sharp changes,
implying that the sources are more or less homogeneous, at all altitudes
within a region, except perhaps in the central IGP.</p></list-item><list-item>
      <p id="d1e2638">The eastern and central IGP had higher concentrations of CN compared to the western IGP. Below 1 km the concentrations of aerosols were higher in the
central IGP compared to the eastern IGP, while above 2 km, there was a reversal in the pattern. This is associated with the transport of aerosols over BBR,
which includes dust from western Asia and anthropogenic emissions from the central IGP. The high wind speeds in the region, during this period, are
ideal for transport of pollutants.</p></list-item><list-item>
      <p id="d1e2642">The altitude distribution of CCN somewhat differed from that of CN. In the altitude range 1.5 to 2.5 km, sharp changes are observed in the CCN
concentrations throughout the IGP. However, above 3 km an overall decreasing trend is observed, with distinct regional variations giving rise to a large
westward (decreasing) gradient across the IGP. The complex interplay of
local emissions and advection of aerosols, along with the PBL dynamics and
chemistry involving pre-cursor gases, is found to be responsible for the observed spatial variation of the altitude profiles of CCN characteristics
across the IGP, as discussed above.</p></list-item><list-item>
      <p id="d1e2646">The AR values along the IGP and central peninsula are comparable below 2 km, and the altitude variations follow a similar pattern. However, above 2 km,
two distinct patterns are observed: (1) AR increasing with altitude in the
central and western IGP and (2) AR remaining almost steady in the eastern
IGP. This shows the presence of more hygroscopic aerosols at higher
altitudes in the western and central IGP as well as the central peninsula but not in the eastern IGP.</p></list-item><list-item>
      <p id="d1e2650">In the eastern IGP, concurrent variations of AR and chemical composition revealed that the presence of organics and sulfates favoured the activation of CCN at lower altitudes. It was also observed that, despite having high
concentrations of organics and sulfates at higher altitudes, the activation of CCN was reduced by an increase in the concentration of (hydrophobic) BC.</p></list-item></list></p>
</sec>
<sec id="Ch1.S4.SS1.SSS2">
  <label>4.1.2</label><title>CCN characteristics during the active phase of the monsoon</title>
      <p id="d1e2661">The above characteristics of CCN are re-examined during the active phase of
monsoon, based on the FAAM data collected during Phase 3 of the campaign, covering the different sub-regions of the IGP (east, central and west –
BBR, LCK, and JPR) and AMD during 2–7 July. By this date the monsoon is established over the entire Indian region (Figs. 1 and 2). The
mean profiles of CN and CCN concentrations were estimated using 14 profiles
for LCK, 11 profiles for JPR and 2 profiles each for the other two stations
as detailed in Table 1. The variation of the mean CN concentration, CCN
concentration<?pagebreak page8989?> and the AR for all the above four locations are presented in Fig. 6a–d following the same methodology as in Fig. 3.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6" specific-use="star"><?xmltex \currentcnt{6}?><?xmltex \def\figurename{Figure}?><label>Figure 6</label><caption><p id="d1e2666">The number concentrations of the CN, CCN and AR over LCK,
JPR, BBR and AMD are shown in  <bold>(a)</bold>, <bold>(b)</bold>, <bold>(c)</bold> and <bold>(d)</bold> respectively. The
activation ratio represents the fraction of total aerosols which can be
converted to CCN at 0.1 % supersaturation.</p></caption>
            <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/8979/2021/acp-21-8979-2021-f06.png"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><?xmltex \currentcnt{7}?><?xmltex \def\figurename{Figure}?><label>Figure 7</label><caption><p id="d1e2689">The changes in the altitude variations of <bold>(a)</bold> CN
concentrations, <bold>(b)</bold> CCN concentrations and <bold>(c)</bold> activation ratios during the SWAAMI campaign. The solid lines represent the values during Phase 1 and the dotted lines show the values during Phase 3.</p></caption>
            <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/8979/2021/acp-21-8979-2021-f07.png"/>

          </fig>

      <p id="d1e2708">The changes from prior to onset of monsoon to the active phase of monsoon are clearly depicted in Fig. 7, where all three parameters are compared.
The most conspicuous features revealed by Figs. 6 and 7 are the following.</p>
      <p id="d1e2711"><list list-type="order">
              <list-item>

      <p id="d1e2716">Very large reduction in the concentrations of CN and CCN during the active
phase (from the values which prevailed prior to the onset) at all altitudes
and across the entire IGP, with concentrations of CCN dropping more dramatically than the CN.</p>
              </list-item>
              <list-item>

      <p id="d1e2722">The effects are most prominent over the eastern IGP, followed by the central IGP, while over the western IGP, it is rather weak and is significant only at higher altitudes (Fig. 7).</p>
              </list-item>
              <list-item>

      <p id="d1e2728">Reduction in concentrations during the active monsoon phase increases with
increasing altitude, from nearly 30 % reduction near the surface to as much as 90 % at around 4 km altitude (from the corresponding values prior
to the onset of monsoon), with the spatial features described in point no. 2 above.</p>
              </list-item>
              <list-item>

      <p id="d1e2734">In the semi-arid western IGP, which experiences much less rainfall, the reduction (from the values prior to the onset of monsoon) in CN and CCN is
marginal and is seen only below <inline-formula><mml:math id="M155" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 3 km. The average
accumulated rainfall over a week prior to the measurements in a 2<inline-formula><mml:math id="M156" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> <inline-formula><mml:math id="M157" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 2<inline-formula><mml:math id="M158" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> grid surrounding JPR was merely 28 mm. At higher altitudes, the concentrations are comparable to or even higher than those that existed
prior to the onset of monsoon, indicating the strong prevalence of
long-range transported dust over that region.</p>
              </list-item>
              <list-item>

      <p id="d1e2772">Examining Fig. 7c, it is clearly seen that, at the lower altitudes (below 2 km), the activation ratios are, in general, higher than their corresponding values prior to onset of monsoon across the entire IGP. Above 2 km, there is
a reversal in the activation ratio pattern, whereby the increasing trend
prior to monsoon is replaced by a decreasing trend during the active phase. There are, of course, sub-regional differences with nearly steady values in the central IGP up to about 4 km, whereas AR decreases conspicuously in the eastern and western IGP regions. The very high values
of AR close to the surface at BBR are due to the advection of marine aerosols by the monsoon winds.</p>
              </list-item>
            </list></p>
      <p id="d1e2777">During Phase 3, there was an additional profiling on 7 July in western India, over AMD, south of the western IGP. The mean features, shown in Fig. 6d, are (a) a decrease in CN concentrations up to about 2 km and
a nearly steady profile above up to about 5 km and (b) a monotonic decrease in CCN concentration and AR from close to the surface to the highest altitude (5 km), somewhat resembling the pattern seen in the western IGP but with
a stronger altitudinal variation of AR.</p>
      <p id="d1e2780">While the CN concentrations are almost the same in the western stations (JPR
and AMD) at all altitudes, the CCN concentrations are higher in AMD (Fig. 6b and d), indicating a more CCN-active aerosol. This is attributed to the stronger advection of marine aerosols from the Arabian Sea, bringing in more
hygroscopic aerosols to AMD (Fig. S7).</p>
</sec>
<sec id="Ch1.S4.SS1.SSS3">
  <label>4.1.3</label><title>CCN spectra</title>
      <p id="d1e2791">With a view to furthering the above understanding of the spatial and
vertical variation in CCN characteristics and the changes with respect to
the monsoon activity, we have examined the CCN spectra (variation of CCN
concentration as a function of supersaturation) using the measured data. It
is well established that the ability of an aerosol to be CCN is a function of both the hygroscopicity and size distribution of aerosols (Twomey and Wojciechowski, 1969; Hegg et al., 1991; Khain, 2009; Jefferson, 2010).
Following Twomey (1959) and Cohard et al. (1998), we have parameterized the CCN spectra using a power-law relation.
              <disp-formula id="Ch1.E1" content-type="numbered"><label>1</label><mml:math id="M159" display="block"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mi>C</mml:mi><mml:msup><mml:mi mathvariant="normal">SS</mml:mi><mml:mi>k</mml:mi></mml:msup><mml:mo>,</mml:mo></mml:mrow></mml:math></disp-formula>
            where <inline-formula><mml:math id="M160" display="inline"><mml:mrow><mml:msub><mml:mi>N</mml:mi><mml:mi mathvariant="normal">CCN</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula> is the number concentration of CCN at a particular
supersaturation (SS), and <inline-formula><mml:math id="M161" display="inline"><mml:mi>C</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M162" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> are empirical coefficients. Lower values of <inline-formula><mml:math id="M163" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> imply quick activation of CN even at low SS and are generally associated
with more hygroscopic and coarse-mode aerosols (such as sea spray). On the other hand, higher values of <inline-formula><mml:math id="M164" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> mean more activation only at higher SS,
typical of less hygroscopic and fine-mode anthropogenic aerosols (Hegg et al., 1991; Jefferson, 2010). The altitude variation of <inline-formula><mml:math id="M165" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> will have
implications for aerosol–cloud interaction through hygroscopicity and size distribution of aerosols (for example, Raga and Jonas, 1995).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><?xmltex \currentcnt{8}?><?xmltex \def\figurename{Figure}?><label>Figure 8</label><caption><p id="d1e2865">Spatial variation of CCN spectra across the IGP for the
western (JPR), central (LCK) and eastern (BBR) IGP regions; <bold>(a)</bold>, <bold>(b)</bold> and <bold>(c)</bold> represent the scenarios prior to the onset of monsoon, while <bold>(d)</bold>, <bold>(e)</bold> and <bold>(f)</bold> correspond to the active monsoon phase. The points are
individual measurements; blue colour stands for lower altitudes (<inline-formula><mml:math id="M166" display="inline"><mml:mi mathvariant="italic">&lt;</mml:mi></mml:math></inline-formula> 3 km) and red colour represents the free tropospheric measurements (3 to 5 km
altitudes). The lines are regression fit to Eq. (1).</p></caption>
            <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/8979/2021/acp-21-8979-2021-f08.png"/>

          </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><?xmltex \currentcnt{9}?><?xmltex \def\figurename{Figure}?><label>Figure 9</label><caption><p id="d1e2902">Vertical variation of CCN spectra during the active phase of the monsoon. Panels <bold>(a)</bold> and <bold>(b)</bold> show the features in the free troposphere (3 to 5 km) and <bold>(c)</bold> and <bold>(d)</bold> represent the lower-altitude region (below 3 km). Panels on
<bold>(a)</bold> and <bold>(c)</bold> represent the central IGP and panels <bold>(b)</bold> and <bold>(d)</bold> represent the western IGP. The measurements over BBR were carried out only on a single day, and the
concentrations of CN and CCN sharply dropped above 3 km, limiting the availability of data above this altitude. Hence the change in <inline-formula><mml:math id="M167" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> above and
below 3 km is not included in the discussion.</p></caption>
            <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://acp.copernicus.org/articles/21/8979/2021/acp-21-8979-2021-f09.png"/>

          </fig>

      <p id="d1e2944">The CCN spectra are shown in Fig. 8, where the panels from left to right
show the spectra across the IGP from west to east; in each case panels a, b and c represent the conditions just prior to the onset of the monsoon (Phase 1 of the campaign) and panels d, e and f represent the active monsoon
(Phase 3) conditions. The spectra are limited only up to SS <inline-formula><mml:math id="M168" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.4, as the SS range during measurements was restricted in the range 0.1 % to 0.4 %, which makes it possible to make high-resolution measurements even at higher altitudes. The lines are regression fits to Eq. (1). The
figure reveals the following.</p>
      <p id="d1e2954"><list list-type="order">
              <list-item>

      <p id="d1e2959">In general, irrespective of the phase of the monsoon, <inline-formula><mml:math id="M169" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> values are highest in the central IGP (LCK), though the values during the active phase of the monsoon are lower than the values just prior to the onset of the
monsoon. This confirms the prevalence of submicron aerosols with lower
hygroscopicity over the central IGP and is also in line with the high
concentration of anthropogenic aerosols in that region (denser sources<?pagebreak page8990?> of
emissions). This is also supported by the high values of BC (<inline-formula><mml:math id="M170" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 2 <inline-formula><mml:math id="M171" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi></mml:mrow></mml:math></inline-formula>g m<inline-formula><mml:math id="M172" 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>) that prevailed over this region, as has been reported by Brooks et al. (2019a) from concurrent measurements and long-term observations from Nainital (Dumka et al., 2021). As the CCN concentrations
at higher supersaturations are mainly attributed to accumulation and
fine-mode particles (Lance et al., 2013), the higher values of <inline-formula><mml:math id="M173" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> over the
central IGP clearly suggest prevalence of an aerosol system dominated by fine-mode particles during both phases of the monsoon.</p>
              </list-item>
              <list-item>

      <p id="d1e3006">The significant reduction in <inline-formula><mml:math id="M174" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> value over the central IGP during the active
phase of the monsoon from its value prior to onset of monsoon is indicative
of a change in the aerosol composition brought about by wet removal
(including BC, the concentration of which dropped to half its value during
the pre-onset phase; Brooks et al., 2019b). The advected moist marine
air mass (from the Bay of Bengal and Arabian Sea by the favourable monsoon winds) also contributes to the reduction in <inline-formula><mml:math id="M175" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> and increase in hygroscopicity
(Pringle et al., 2010) in the lower-altitude regions. However, the less hygroscopic aerosols, advected by the continental air mass, prevailed at the higher altitudes (<inline-formula><mml:math id="M176" display="inline"><mml:mi mathvariant="italic">&gt;</mml:mi></mml:math></inline-formula> 3 km), leading to a decrease in the
activation efficiency and increase in <inline-formula><mml:math id="M177" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> values, even during the active phase
of the monsoon.</p>
              </list-item>
              <list-item>

      <p id="d1e3040">Over the eastern and western IGP regions where, in general, coarser particles exist (mineral dust over the western IGP and marine aerosols over the eastern IGP), <inline-formula><mml:math id="M178" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> values are in general lower than those seen in the central
IGP during both the phases of the monsoon activity, implying that the aerosols over these regions are amenable to easier activation to CCN
compared to those over the central IGP.</p>
              </list-item>
              <list-item>

      <p id="d1e3053">However, the responses of <inline-formula><mml:math id="M179" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> to the distinct phases of monsoon activity
provide a contrasting picture over the<?pagebreak page8991?> western and eastern IGP regions.
While there is a dramatic reduction in <inline-formula><mml:math id="M180" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> (from 1.25 to 0.43) in the eastern
region, brought in by an increased abundance of marine aerosols here (advection from the Bay of Bengal, due east off BBR), over the semi-arid
regions of the western IGP, <inline-formula><mml:math id="M181" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> has increased (though weakly) to 0.93 from its
value (0.81) during the pre-onset phase. A change in the aerosol size distribution is a plausible reason, the coarser particles being removed by
the precipitation in the active phase. Decreases in the hygroscopicity
related to decrease in the size of the particles and increase in the fine-mode organic aerosols have been reported by Gunthe et al. (2009). It may be
recalled that from independent measurements, Jayachandran et al. (2020b)
reported variations in the <inline-formula><mml:math id="M182" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> values associated with changes in the size distribution of particles. However, this needs to be verified by more
independent measurements.</p>
              </list-item>
            </list></p>
      <p id="d1e3086">The FAAM measurements provided an opportunity to examine the changes
occurring in CCN characteristics in the<?pagebreak page8992?> vertical across the IGP during the
contrasting phases of the monsoon. As such, we examined the CCN spectra for
the free troposphere (3 to 5 km altitude) separately from the spectra for
the lower altitudes (less than 3 km). This also facilitates examination of the lower-altitude features with those derived from the measurements aboard the Indian aircraft in the pre-monsoon period, about a week to 10 d prior to
Phase 1 of FAAM (Jayachandran et al., 2020a), which was confined only to the lower atmosphere. The panels in Fig. 9 show the results during the active
phase of the monsoon, when there was a clear difference in the <inline-formula><mml:math id="M183" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> values in
the upper atmosphere from those in the lower regions. It clearly emerges
that over both the locations, aerosols in the upper atmosphere (free
troposphere) are more hygroscopic (with lower <inline-formula><mml:math id="M184" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> values) than those in the
boundary layer, where the influence of local emissions would be felt more.</p>
      <p id="d1e3103">Vertical variations in the values of <inline-formula><mml:math id="M185" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> have been examined over the Indian region based on a few aircraft measurements in recent years under
different campaigns (e.g. Varghese et al., 2016; Jayachandran et al., 2020a). However, our study is the first one focusing on the transformation
of CCN characteristics across the phase of the monsoon from prior to its onset to the active phase that followed immediately. One important finding
is the significant decrease in the <inline-formula><mml:math id="M186" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> values (increase in the CCN activity)
of aerosols across the IGP during the active phase of the monsoon, from its
values just prior to the onset. Despite this feature, there is spatial
distinctiveness across the IGP. In both phases of the monsoon, the central
IGP with significant anthropogenic activities and associated emissions (from
industries, thermal power plants, automobiles, etc.) is less CCN-active, with <inline-formula><mml:math id="M187" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> values lying in the range (2.07 prior to onset of monsoon and 1.46 during the active phase), while aerosols in the western and eastern IGP are more easily
activated. Similar spatial distinctiveness has also been reported by
Jayachandran et al. (2020a) during the pre-monsoon period.</p>
      <p id="d1e3127">Another important finding emerging from our study is the decrease in <inline-formula><mml:math id="M188" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula>
values with altitude during the active phase of the monsoon, showing
prevalence of more hygroscopic aerosols in the free troposphere. This is in
sharp contrast to the results reported for the pre-monsoon period by
Jayachandran et al. (2020a), who found a significant increase in <inline-formula><mml:math id="M189" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> values
with altitude across the entire IGP, indicating a decrease in the
hygroscopicity and/or increasing dominance of fine and accumulation aerosols at higher altitudes. Low values of <inline-formula><mml:math id="M190" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> at higher altitudes as seen in our
study are also in line with the low values reported by Dumka et al. (2015)
from a Himalayan station at 2 km altitude based on measurements during the
RAWEX–GVAX campaign. Similar low values of <inline-formula><mml:math id="M191" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> were also reported by Roy et
al. (2017) over the high-altitude (2.2 km) site Darjeeling located in the eastern part of Himalayas in India. In the central peninsula, Jayachandran et al. (2020b) reported smaller <inline-formula><mml:math id="M192" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> values for the continental air mass compared
to marine air mass due to the presence<?pagebreak page8993?> of coarser particles in the
continental air mass. The near-flat CCN spectra around BBR are a consistent feature (Jayachandran et al., 2020a) and appear to be typical of coastal regions, where highly hygroscopic and coarse-mode marine aerosols are
available in large numbers (Jayachandran et al., 2017). However, it should
be kept in mind that the <inline-formula><mml:math id="M193" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> values depend on the supersaturation range used
for its estimation, and in our study it was limited to only 0.4 % in order to extend the measurements to higher altitudes. Similar differences between
the near-surface and below-cloud values of <inline-formula><mml:math id="M194" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> were also reported by Varghese et al. (2016) during the CAIPEEX, who found higher <inline-formula><mml:math id="M195" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> values (0.72) associated with polluted conditions and low <inline-formula><mml:math id="M196" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> values (0.25) during clean
conditions.</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S5" sec-type="conclusions">
  <label>5</label><title>Summary and conclusion</title>
      <p id="d1e3205">Our study has brought out, perhaps for the first time over the Indian
region, the contrasting features of CCN characteristics over the IGP across
the pre-onset phase to the active phase of the monsoon in the altitude region from near the surface to nearly 6 km. The salient features are the following.</p>
      <p id="d1e3208"><list list-type="bullet">
          <list-item>

      <p id="d1e3213">Prior to the onset, elevated aerosol layers prevailed throughout the IGP
region, mostly above 2 km, where large increases in the number
concentrations of CN and CCN were observed, though such sharp changes were not seen in the AR, except in the central IGP. The steeper aerosol spectra
here with higher <inline-formula><mml:math id="M197" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> values over this region suggest the prevalence of the presence of submicron aerosols with lower hygroscopicity over the central
IGP. The highest CN concentrations above the boundary layer were observed in the eastern IGP. The high wind speeds during the period provided ideal
conditions for the transport of dust from the west and anthropogenic
aerosols from the central IGP (lofted by intense thermal convections)
towards the eastern IGP. There existed a west-to-east increasing gradient in CCN concentration even above the boundary layer prior to the onset of
monsoon. The lower <inline-formula><mml:math id="M198" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> values over the western IGP indicate the presence of coarser aerosols which are more susceptible to CCN activation. In the
central peninsula, the values of CCN remained lower than those in the IGP at all altitudes. These observations resulted from the complex interplay of
emission and advection of aerosols along with the ABL dynamics and chemistry involving the precursor gases. There is an increase in the AR with
altitude above 2 km. Compared to the freshly emitted aerosols in the
boundary layer, the transported aerosols appear to be more hygroscopic.</p>
          </list-item>
          <list-item>

      <p id="d1e3233">Strong reduction in the concentrations of CN and CCN throughout the IGP with an east-to-west decreasing gradient, being most remarkable in the eastern IGP and very weak over the western IGP. This is attributed to the east–west gradient (decreasing towards west) of monsoon rainfall across the
IGP, with the eastern and central IGP (and the surrounding regions) receiving much higher rainfall during the active period than the western
IGP, as can be seen from Fig. 2c and d. The higher CN concentration at higher altitudes over the western IGP with values comparable to or even higher
than those existing prior to the onset of monsoon indicates the strong prevalence of long-range transported dust from the west, aided by the
synoptic circulation, even during the active phase of the monsoon.</p>
          </list-item>
          <list-item>

      <p id="d1e3239">During the active phase of the monsoon, the boundary layer aerosols became
more hygroscopic, while the hygroscopicity of the aerosols above 3 km
decreased. This appears to be caused by the change in the aerosol type after
the monsoon has established. The strong monsoonal winds replaced the
continental air mass that prevailed prior to the onset with moist marine air mass (Fig. 2a and b) at the lower altitudes (below 2 to 3 km). These changes can be seen in the synoptic wind at 850 hPa. The more hygroscopic
aerosols present in the marine air mass increased the activation efficiency and reduced the spectral index <inline-formula><mml:math id="M199" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> at the lower altitudes as seen in Fig. 9c and d as they changed the mixing state of aerosols, as was observed
by Brooks et al. (2019b). At higher altitudes, however, the mineral dust
transport from the western arid regions persisted. These led to higher
values of <inline-formula><mml:math id="M200" display="inline"><mml:mi>k</mml:mi></mml:math></inline-formula> at higher altitudes <inline-formula><mml:math id="M201" display="inline"><mml:mrow><mml:mi mathvariant="italic">&gt;</mml:mi><mml:mo>∼</mml:mo></mml:mrow></mml:math></inline-formula> 3 km during the
active phase.</p>
          </list-item>
          <list-item>

      <p id="d1e3269">Consequently, the supersaturation spectrum became flatter during the active
phase of the monsoon, implying that aerosol will be activated at lower supersaturations. Though the local surface-based emissions (with lesser
hygroscopic aerosols as seen prior to the onset of monsoon) are still
active, these get mixed with the marine air mass at lower altitudes, leading to increased hygroscopicity during the active phase. Vertical lofting of surface emissions is weakened due to the weakening of the local thermal
convection with the advent of monsoon and fall in temperature (by more than
10<inline-formula><mml:math id="M202" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C on average across the IGP). As a result, the dust at higher altitudes is purer in nature and retains its less hygroscopic nature.</p>
          </list-item>
        </list></p>
</sec>

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

      <p id="d1e3287">Processed data can be downloaded from <ext-link xlink:href="https://doi.org/10.6084/m9.figshare.14744046" ext-link-type="DOI">10.6084/m9.figshare.14744046</ext-link> (Manoj et al., 2021).</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e3293">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/acp-21-8979-2021-supplement" xlink:title="pdf">https://doi.org/10.5194/acp-21-8979-2021-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <?pagebreak page8994?><p id="d1e3302">SKS, KKM and HC together conceived of the experiment; MRM, JT and HC
participated in the field campaign. JT collected the data and performed the
quality check. MRM carried out the scientific data analysis and prepared the
draft of the manuscript. KKM and SKS were involved in the scientific
interpretation of the results, leading to the formulation of the manuscript,
and along with HC and JT reviewed and revised the manuscript.</p>
  </notes><notes notes-type="sistatement"><title>Special issue statement</title>

      <p id="d1e3308">This article is part of the special issue “Interactions between aerosols and the South West Asian monsoon”. It is not associated with a conference.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e3314">A number of institutions were involved in logistics, planning, and support
of the campaign: the Indian Institute of Science, Vikram Sarabhai Space
Centre, University of Reading and the Met Office, UK. We are grateful for support from all.</p><p id="d1e3316">Airborne data were obtained using the BAe-146-301 Atmospheric Research Aircraft flown by Airtask Ltd and managed by FAAM Airborne Laboratory,
jointly operated by UKRI and the University of Leeds. We thank Divecha
Centre for Climate Change for the support. ERA-Interim wind field data were
provided courtesy of IMD. The gridded rainfall data were provided courtesy of ECMWF. We also thank the NOAA Air Resources Laboratory (ARL) for the provision of the HYSPLIT model used in this publication. Sreedharan Krishnakumari Satheesh was supported by a J. C. Bose Fellowship and the Tata Education and Development Trust.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e3321">This research has been supported by the Ministry of Earth Sciences (grant no. MM/NERC-MoES-1/2014/002).</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e3327">This paper was edited by Armin Sorooshian and reviewed by Dimitris Kaskaoutis and one anonymous referee.</p>
  </notes><ref-list>
    <title>References</title>

      <ref id="bib1.bib1"><label>1</label><?label 1?><mixed-citation>Albrecht, B. A.: Aerosols, cloud microphysics, and fractional cloudiness,
Science, 245, 1227–1230, <ext-link xlink:href="https://doi.org/10.1126/science.245.4923.1227" ext-link-type="DOI">10.1126/science.245.4923.1227</ext-link>, 1989.</mixed-citation></ref>
      <ref id="bib1.bib2"><label>2</label><?label 1?><mixed-citation>Altaratz, O., Koren, I., Remer, L. A., and Hirsch, E.: Review: Cloud
invigoration by aerosols – Coupling between microphysics and dynamics,
Atmos. Res., 140–141, 38–60, <ext-link xlink:href="https://doi.org/10.1016/j.atmosres.2014.01.009" ext-link-type="DOI">10.1016/j.atmosres.2014.01.009</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib3"><label>3</label><?label 1?><mixed-citation>Andreae, M. O. and Rosenfeld, D.: Aerosol-cloud-precipitation
interactions, Part 1: The nature and sources of cloud-active aerosols,
Earth-Sci. Rev., 89, 13–41, <ext-link xlink:href="https://doi.org/10.1016/j.earscirev.2008.03.001" ext-link-type="DOI">10.1016/j.earscirev.2008.03.001</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib4"><label>4</label><?label 1?><mixed-citation>Arub, Z., Bhandari, S., Gani, S., Apte, J. S., Hildebrandt Ruiz, L., and Habib, G.: Air mass physiochemical characteristics over New Delhi: impacts on aerosol hygroscopicity and cloud condensation nuclei (CCN) formation, Atmos. Chem. Phys., 20, 6953–6971, <ext-link xlink:href="https://doi.org/10.5194/acp-20-6953-2020" ext-link-type="DOI">10.5194/acp-20-6953-2020</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib5"><label>5</label><?label 1?><mixed-citation>Babu, S. S., Manoj, M. R., Moorthy, K. K., Gogoi, M. M., Nair, V. S.,
Kompalli, S. K., Satheesh, S. K., Niranjan, K., Ramagopal, K., Bhuyan, P.
K., and Singh, D.: Trends in aerosol optical depth over Indian region:
Potential causes and impact indicators, J. Geophys. Res.-Atmos., 118, 11794–11806, <ext-link xlink:href="https://doi.org/10.1002/2013jd020507" ext-link-type="DOI">10.1002/2013jd020507</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib6"><label>6</label><?label 1?><mixed-citation>Bellouin, N., Quaas, J., Gryspeerdt, E., Kinne, S., Stier, P.,
Watson-Parris, D., Boucher, O., Carslaw, K. S., Christensen, M., and Daniau,
A. L.: Bounding global aerosol radiative forcing of climate change, Rev. Geophys., 58, e2019RG000660, <ext-link xlink:href="https://doi.org/10.1029/2019RG000660" ext-link-type="DOI">10.1029/2019RG000660</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib7"><label>7</label><?label 1?><mixed-citation>Bhattu, D. and Tripathi, S. N.: Inter-seasonal variability in size-resolved
CCN properties at Kanpur, India, Atmos. Environ., 85, 161–168,
<ext-link xlink:href="https://doi.org/10.1016/j.atmosenv.2013.12.016" ext-link-type="DOI">10.1016/j.atmosenv.2013.12.016</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib8"><label>8</label><?label 1?><mixed-citation>Bhattu, D., Tripathi, S. N., and Chakraborty, A.: Deriving aerosol
hygroscopic mixing state from size-resolved CCN activity and HR-ToF-AMS
measurements, Atmos. Environ., 142, 57–70,
<ext-link xlink:href="https://doi.org/10.1016/j.atmosenv.2016.07.032" ext-link-type="DOI">10.1016/j.atmosenv.2016.07.032</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib9"><label>9</label><?label 1?><mixed-citation>Brooks, J., Allan, J. D., Williams, P. I., Liu, D., Fox, C., Haywood, J., Langridge, J. M., Highwood, E. J., Kompalli, S. K., O'Sullivan, D., Babu, S. S., Satheesh, S. K., Turner, A. G., and Coe, H.: Vertical and horizontal distribution of submicron aerosol chemical composition and physical characteristics across northern India during pre-monsoon and monsoon seasons, Atmos. Chem. Phys., 19, 5615–5634, <ext-link xlink:href="https://doi.org/10.5194/acp-19-5615-2019" ext-link-type="DOI">10.5194/acp-19-5615-2019</ext-link>, 2019a.</mixed-citation></ref>
      <ref id="bib1.bib10"><label>10</label><?label 1?><mixed-citation>Brooks, J., Liu, D., Allan, J. D., Williams, P. I., Haywood, J., Highwood, E. J., Kompalli, S. K., Babu, S. S., Satheesh, S. K., Turner, A. G., and Coe, H.: Black carbon physical and optical properties across northern India during pre-monsoon and monsoon seasons, Atmos. Chem. Phys., 19, 13079–13096, <ext-link xlink:href="https://doi.org/10.5194/acp-19-13079-2019" ext-link-type="DOI">10.5194/acp-19-13079-2019</ext-link>, 2019b.</mixed-citation></ref>
      <ref id="bib1.bib11"><label>11</label><?label 1?><mixed-citation>Cohard, J.-M., Pinty, J.-P., and Bedos, C.: Extending Twomey's Analytical
Estimate of Nucleated Cloud Droplet Concentrations from CCN Spectra,
J. Atmos. Sci., 55, 3348–3357,
<ext-link xlink:href="https://doi.org/10.1175/1520-0469(1998)055&lt;3348:ETSAEO&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0469(1998)055&lt;3348:ETSAEO&gt;2.0.CO;2</ext-link>, 1998.</mixed-citation></ref>
      <ref id="bib1.bib12"><label>12</label><?label 1?><mixed-citation>Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J.-N., and Vitart, F.: The ERA-Interim reanalysis: Configuration and performance of the data
assimilation system, Q. J. Roy. Meteor. Soc., 137, 553–597, <ext-link xlink:href="https://doi.org/10.1002/qj.828" ext-link-type="DOI">10.1002/qj.828</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib13"><label>13</label><?label 1?><mixed-citation>Deng, Z. Z., Zhao, C. S., Ma, N., Liu, P. F., Ran, L., Xu, W. Y., Chen, J., Liang, Z., Liang, S., Huang, M. Y., Ma, X. C., Zhang, Q., Quan, J. N., Yan, P., Henning, S., Mildenberger, K., Sommerhage, E., Schäfer, M., Stratmann, F., and Wiedensohler, A.: Size-resolved and bulk activation properties of aerosols in the North China Plain, Atmos. Chem. Phys., 11, 3835–3846, <ext-link xlink:href="https://doi.org/10.5194/acp-11-3835-2011" ext-link-type="DOI">10.5194/acp-11-3835-2011</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib14"><label>14</label><?label 1?><mixed-citation>Dumka, U. C., Bhattu, D., Tripathi, S. N., Kaskaoutis, D. G., and Madhavan,
B. L.: Seasonal inhomogeneity in cloud precursors over Gangetic Himalayan
region during GVAX campaign, Atmos. Res., 155, 158–175,
<ext-link xlink:href="https://doi.org/10.1016/j.atmosres.2014.11.022" ext-link-type="DOI">10.1016/j.atmosres.2014.11.022</ext-link>, 2015.</mixed-citation></ref>
      <?pagebreak page8995?><ref id="bib1.bib15"><label>15</label><?label 1?><mixed-citation>Dumka, U. C., Kaskaoutis, D. G., Mihalopoulos, N., and Sheoran, R.:
Identification of key aerosol types and mixing states in the central Indian
Himalayas during the GVAX campaign: the role of particle size in aerosol
classification, Sci. Total Environ., 761, 143188,
<ext-link xlink:href="https://doi.org/10.1016/j.scitotenv.2020.143188" ext-link-type="DOI">10.1016/j.scitotenv.2020.143188</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib16"><label>16</label><?label 1?><mixed-citation>Dusek, U., Frank, G., Hildebrandt, L., Curtius, J., Schneider, J., Walter,
S., Chand, D., Drewnick, F., Hings, S., Jung, D., Borrmann, S., and Andreae,
M. O.: Size matters more than chemistry for cloud-nucleating ability of
aerosol particles, Science, 312, 1375–1378,
<ext-link xlink:href="https://doi.org/10.1126/science.1125261" ext-link-type="DOI">10.1126/science.1125261</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bib17"><label>17</label><?label 1?><mixed-citation>Fan, J., Wang, Y., Rosenfeld, D., and Liu, X.: Review of Aerosol-Cloud
Interactions: Mechanisms, Significance, and Challenges, J. Atmos. Sci., 73, 4221–4252, <ext-link xlink:href="https://doi.org/10.1175/JAS-D-16-0037.1" ext-link-type="DOI">10.1175/JAS-D-16-0037.1</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib18"><label>18</label><?label 1?><mixed-citation>Fitzgerald, J. W.: Dependence of the Supersaturation Spectrum of CCN on
Aerosol Size Distribution and Composition, J. Atmos. Sci., 30, 628–634,
<ext-link xlink:href="https://doi.org/10.1175/1520-0469(1973)030&lt;0628:DOTSSO&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0469(1973)030&lt;0628:DOTSSO&gt;2.0.CO;2</ext-link>, 1973.</mixed-citation></ref>
      <ref id="bib1.bib19"><label>19</label><?label 1?><mixed-citation>Gautam, R., Hsu, N. C., Lau, K.-M., and Kafatos, M.: Aerosol and rainfall variability over the Indian monsoon region: distributions, trends and coupling, Ann. Geophys., 27, 3691–3703, <ext-link xlink:href="https://doi.org/10.5194/angeo-27-3691-2009" ext-link-type="DOI">10.5194/angeo-27-3691-2009</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib20"><label>20</label><?label 1?><mixed-citation>Gautam, R., Hsu, N. C., Tsay, S. C., Lau, K. M., Holben, B., Bell, S., Smirnov, A., Li, C., Hansell, R., Ji, Q., Payra, S., Aryal, D., Kayastha, R., and Kim, K. M.: Accumulation of aerosols over the Indo-Gangetic plains and southern slopes of the Himalayas: distribution, properties and radiative effects during the 2009 pre-monsoon season, Atmos. Chem. Phys., 11, 12841–12863, <ext-link xlink:href="https://doi.org/10.5194/acp-11-12841-2011" ext-link-type="DOI">10.5194/acp-11-12841-2011</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib21"><label>21</label><?label 1?><mixed-citation>Gogoi, M. M., Babu, S. S., Jayachandran, V., Moorthy, K. K., Satheesh, S.
K., Naja, M., and Kotamarthi, V. R.: Optical properties and CCN activity of
aerosols in a high-altitude Himalayan environment: Results from RAWEX-GVAX,
J. Geophys. Res.-Atmos., 120, 2453–2469, <ext-link xlink:href="https://doi.org/10.1002/2014JD022966" ext-link-type="DOI">10.1002/2014JD022966</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib22"><label>22</label><?label 1?><mixed-citation>Goswami, B. N., Venugopal, V., Sengupta, D., Madhusoodanan, M., and Xavier,
P. K.: Increasing trend of extreme rain events over India in a warming
environment, Science, 314, 1442–1445,
<ext-link xlink:href="https://doi.org/10.1126/science.1132027" ext-link-type="DOI">10.1126/science.1132027</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bib23"><label>23</label><?label 1?><mixed-citation>Guhathakurta, P., Rajeevan, M., Sikka, D. R., and Tyagi, A.: Observed
changes in southwest monsoon rainfall over India during 1901–2011,
Int. J. Climatol., 35, 1881–1898, <ext-link xlink:href="https://doi.org/10.1002/joc.4095" ext-link-type="DOI">10.1002/joc.4095</ext-link>, 2015.</mixed-citation></ref>
      <ref id="bib1.bib24"><label>24</label><?label 1?><mixed-citation>Gunthe, S. S., King, S. M., Rose, D., Chen, Q., Roldin, P., Farmer, D. K., Jimenez, J. L., Artaxo, P., Andreae, M. O., Martin, S. T., and Pöschl, U.: Cloud condensation nuclei in pristine tropical rainforest air of Amazonia: size-resolved measurements and modeling of atmospheric aerosol composition and CCN activity, Atmos. Chem. Phys., 9, 7551–7575, <ext-link xlink:href="https://doi.org/10.5194/acp-9-7551-2009" ext-link-type="DOI">10.5194/acp-9-7551-2009</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib25"><label>25</label><?label 1?><mixed-citation>Hegg, D. A., Radke, L. F., and Hobbs, P. V.: Measurements of Aitken nuclei
and cloud condensation nuclei in the marine atmosphere and their relation to
the DMS-Cloud-climate hypothesis, J. Geophys. Res.-Atmos., 96, 18727–18733,
<ext-link xlink:href="https://doi.org/10.1029/91JD01870" ext-link-type="DOI">10.1029/91JD01870</ext-link>, 1991.</mixed-citation></ref>
      <ref id="bib1.bib26"><label>26</label><?label 1?><mixed-citation>Highwood, E. J., Northway, M. J., McMeeking, G. R., Morgan, W. T., Liu, D., Osborne, S., Bower, K., Coe, H., Ryder, C., and Williams, P.: Aerosol scattering and absorption during the EUCAARI-LONGREX flights of the Facility for Airborne Atmospheric Measurements (FAAM) BAe-146: can measurements and models agree?, Atmos. Chem. Phys., 12, 7251–7267, <ext-link xlink:href="https://doi.org/10.5194/acp-12-7251-2012" ext-link-type="DOI">10.5194/acp-12-7251-2012</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib27"><label>27</label><?label 1?><mixed-citation>Hings, S. S., Wrobel, W. C., Cross, E. S., Worsnop, D. R., Davidovits, P., and Onasch, T. B.: CCN activation experiments with adipic acid: effect of particle phase and adipic acid coatings on soluble and insoluble particles, Atmos. Chem. Phys., 8, 3735–3748, <ext-link xlink:href="https://doi.org/10.5194/acp-8-3735-2008" ext-link-type="DOI">10.5194/acp-8-3735-2008</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib28"><label>28</label><?label 1?><mixed-citation>Hudson, J. G.: Variability of the relationship between particle size and
cloud-nucleating ability, Geophys. Res. Lett., 34,  L08801, <ext-link xlink:href="https://doi.org/10.1029/2006GL028850" ext-link-type="DOI">10.1029/2006GL028850</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bib29"><label>29</label><?label 1?><mixed-citation>Jayachandran, V., Nair, V. S., and Babu, S. S.: CCN characteristics over a
tropical coastal station during south-west monsoon: observations and closure
studies, Atmos. Environ., 164, 299–308,
<ext-link xlink:href="https://doi.org/10.1016/j.atmosenv.2017.06.012" ext-link-type="DOI">10.1016/j.atmosenv.2017.06.012</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bib30"><label>30</label><?label 1?><mixed-citation>Jayachandran, V., Nair, V. S., and Babu, S. S.: CCN activation properties at
a tropical hill station in Western Ghats during south-west summer monsoon:
Vertical heterogeneity, Atmos. Res., 214, 36–45,
<ext-link xlink:href="https://doi.org/10.1016/j.atmosres.2018.07.018" ext-link-type="DOI">10.1016/j.atmosres.2018.07.018</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib31"><label>31</label><?label 1?><mixed-citation>Jayachandran, V. N., Suresh Babu, S. N., Vaishya, A., Gogoi, M. M., Nair, V. S., Satheesh, S. K., and Krishna Moorthy, K.: Altitude profiles of cloud condensation nuclei characteristics across the Indo-Gangetic Plain prior to the onset of the Indian summer monsoon, Atmos. Chem. Phys., 20, 561–576, <ext-link xlink:href="https://doi.org/10.5194/acp-20-561-2020" ext-link-type="DOI">10.5194/acp-20-561-2020</ext-link>, 2020a.</mixed-citation></ref>
      <ref id="bib1.bib32"><label>32</label><?label 1?><mixed-citation>Jayachandran, V. N., Varghese, M., Murugavel, P., Todekar, K. S., Bankar, S. P., Malap, N., Dinesh, G., Safai, P. D., Rao, J., Konwar, M., Dixit, S., and Prabha, T. V.: Cloud condensation nuclei characteristics during the Indian summer monsoon over a rain-shadow region, Atmos. Chem. Phys., 20, 7307–7334, <ext-link xlink:href="https://doi.org/10.5194/acp-20-7307-2020" ext-link-type="DOI">10.5194/acp-20-7307-2020</ext-link>, 2020b.</mixed-citation></ref>
      <ref id="bib1.bib33"><label>33</label><?label 1?><mixed-citation>Jefferson, A.: Empirical estimates of CCN from aerosol optical properties at four remote sites, Atmos. Chem. Phys., 10, 6855–6861, <ext-link xlink:href="https://doi.org/10.5194/acp-10-6855-2010" ext-link-type="DOI">10.5194/acp-10-6855-2010</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib34"><label>34</label><?label 1?><mixed-citation>Johnson, B., Turnbull, K., Brown, P., Burgess, R., Dorsey, J., Baran, A. J.,
Webster, H., Haywood, J., Cotton, R., Ulanowski, Z., Hesse, E., Woolley, A.,
and Rosenberg, P.: In situ observations of volcanic ash clouds from the FAAM
aircraft during the eruption of Eyjafjallajökull in 2010, J. Geophys. Res.-Atmos., 117, D00U24, <ext-link xlink:href="https://doi.org/10.1029/2011JD016760" ext-link-type="DOI">10.1029/2011JD016760</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib35"><label>35</label><?label 1?><mixed-citation>Kelly, J. T., Chuang, C. C., and Wexler, A. S.: Influence of dust
composition on cloud droplet formation, Atmos. Environ., 41,
2904–2916, <ext-link xlink:href="https://doi.org/10.1016/j.atmosenv.2006.12.008" ext-link-type="DOI">10.1016/j.atmosenv.2006.12.008</ext-link>, 2007.</mixed-citation></ref>
      <ref id="bib1.bib36"><label>36</label><?label 1?><mixed-citation>Khain, A. P.: Notes on state-of-the-art investigations of aerosol effects on
precipitation: a critical review, Environ. Res. Lett., 4, 015004, <ext-link xlink:href="https://doi.org/10.1088/1748-9326/4/1/015004" ext-link-type="DOI">10.1088/1748-9326/4/1/015004</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib37"><label>37</label><?label 1?><mixed-citation>Koren, I., Dagan, G., and Altaratz, O.: From aerosol-limited to invigoration
of warm convective clouds, Science, 344, 1143–1146,
<ext-link xlink:href="https://doi.org/10.1126/science.1252595" ext-link-type="DOI">10.1126/science.1252595</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib38"><label>38</label><?label 1?><mixed-citation>Kulkarni, J. R., Maheskumar, R. S., Morwal, S. B., Padmakumari, B., Konwar,
M., Deshpande, C. G., Joshi, R. R., Bhalwankar, R. V., Pandithurai, G., and
Safai, P. D.: The cloud aerosol interactions and precipitation enhancement
experiment (CAIPEEX): overview and preliminary results, Curr. Sci. India, 102, 413–425, <uri>http://repository.ias.ac.in/93580/1/7-p.pdf</uri> (last access: 2 June 2021), 2012.</mixed-citation></ref>
      <?pagebreak page8996?><ref id="bib1.bib39"><label>39</label><?label 1?><mixed-citation>Lance, S., Nenes, A., Medina, J., and Smith, J. N.: Mapping the Operation of
the DMT Continuous Flow CCN Counter, Aerosol Sci. Tech., 40, 242–254, <ext-link xlink:href="https://doi.org/10.1080/02786820500543290" ext-link-type="DOI">10.1080/02786820500543290</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bib40"><label>40</label><?label 1?><mixed-citation>Lance, S., Raatikainen, T., Onasch, T. B., Worsnop, D. R., Yu, X.-Y., Alexander, M. L., Stolzenburg, M. R., McMurry, P. H., Smith, J. N., and Nenes, A.: Aerosol mixing state, hygroscopic growth and cloud activation efficiency during MIRAGE 2006, Atmos. Chem. Phys., 13, 5049–5062, <ext-link xlink:href="https://doi.org/10.5194/acp-13-5049-2013" ext-link-type="DOI">10.5194/acp-13-5049-2013</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib41"><label>41</label><?label 1?><mixed-citation>Lebo, Z. J. and Seinfeld, J. H.: Theoretical basis for convective invigoration due to increased aerosol concentration, Atmos. Chem. Phys., 11, 5407–5429, <ext-link xlink:href="https://doi.org/10.5194/acp-11-5407-2011" ext-link-type="DOI">10.5194/acp-11-5407-2011</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib42"><label>42</label><?label 1?><mixed-citation>Leena, P. P., Pandithurai, G., Anilkumar, V., Murugavel, P., Sonbawne, S.
M., and Dani, K. K.: Seasonal variability in aerosol, CCN and their
relationship observed at a high altitude site in Western Ghats,
Meteorol. Atmos. Phys., 128, 143–153, <ext-link xlink:href="https://doi.org/10.1007/s00703-015-0406-0" ext-link-type="DOI">10.1007/s00703-015-0406-0</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib43"><label>43</label><?label 1?><mixed-citation>Manoj, M. R., Satheesh, S. K., Moorthy, K. K., and Coe, H.: Vertical profiles of submicron aerosol single scattering albedo over the Indian region immediately before monsoon onset and during its development: research from the SWAAMI field campaign, Atmos. Chem. Phys., 20, 4031–4046, <ext-link xlink:href="https://doi.org/10.5194/acp-20-4031-2020" ext-link-type="DOI">10.5194/acp-20-4031-2020</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib44"><label>44</label><?label 1?><mixed-citation>Manoj, M. R., Satheesh, S. K., Moorthy, K. K., and Coe, H.: acp-2020-1233, figshare, Dataset, <ext-link xlink:href="https://doi.org/10.6084/m9.figshare.14744046" ext-link-type="DOI">10.6084/m9.figshare.14744046</ext-link>, 2021.</mixed-citation></ref>
      <ref id="bib1.bib45"><label>45</label><?label 1?><mixed-citation>McFiggans, G., Artaxo, P., Baltensperger, U., Coe, H., Facchini, M. C., Feingold, G., Fuzzi, S., Gysel, M., Laaksonen, A., Lohmann, U., Mentel, T. F., Murphy, D. M., O'Dowd, C. D., Snider, J. R., and Weingartner, E.: The effect of physical and chemical aerosol properties on warm cloud droplet activation, Atmos. Chem. Phys., 6, 2593–2649, <ext-link xlink:href="https://doi.org/10.5194/acp-6-2593-2006" ext-link-type="DOI">10.5194/acp-6-2593-2006</ext-link>, 2006.</mixed-citation></ref>
      <ref id="bib1.bib46"><label>46</label><?label 1?><mixed-citation>Meng, J. W., Yeung, M. C., Li, Y. J., Lee, B. Y. L., and Chan, C. K.: Size-resolved cloud condensation nuclei (CCN) activity and closure analysis at the HKUST Supersite in Hong Kong, Atmos. Chem. Phys., 14, 10267–10282, <ext-link xlink:href="https://doi.org/10.5194/acp-14-10267-2014" ext-link-type="DOI">10.5194/acp-14-10267-2014</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib47"><label>47</label><?label 1?><mixed-citation>Padmakumari, B., Maheskumar, R. S., Morwal, S. B., Harikishan, G., Konwar,
M., Kulkarni, J. R., and Goswami, B. N.: Aircraft observations of elevated
pollution layers near the foothills of the Himalayas during CAIPEEX-2009,
Q. J. Roy. Meteor. Soc., 139, 625–638, <ext-link xlink:href="https://doi.org/10.1002/qj.1989" ext-link-type="DOI">10.1002/qj.1989</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib48"><label>48</label><?label 1?><mixed-citation>Pai, D. S., Sridhar, L., Rajeevan, M., Sreejith, O. P., Satbhai, N. S., and
Mukhopadhyay, B.: Development of a new high spatial resolution
(0.25 <inline-formula><mml:math id="M203" display="inline"><mml:mo>×</mml:mo></mml:math></inline-formula> 0.25) long period (1901–2010) daily gridded rainfall data
set over India and its comparison with existing data sets over the region,
Mausam, 65, 1–18, 2014.</mixed-citation></ref>
      <ref id="bib1.bib49"><label>49</label><?label 1?><mixed-citation>Pandey, A., Sadavarte, P., Rao, A. B., and Venkataraman, C.: Trends in
multi-pollutant emissions from a technology-linked inventory for India: II.
Residential, agricultural and informal industry sectors,
Atmos. Environ., 99, 341–352, <ext-link xlink:href="https://doi.org/10.1016/j.atmosenv.2014.09.080" ext-link-type="DOI">10.1016/j.atmosenv.2014.09.080</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib50"><label>50</label><?label 1?><mixed-citation>Patidar, V., Tripathi, S. N., Bharti, P. K., and Gupta, T.: First Surface
Measurement of Cloud Condensation Nuclei over Kanpur, IGP: Role of Long
Range Transport, Aerosol Sci. Tech., 46, 973–982,
<ext-link xlink:href="https://doi.org/10.1080/02786826.2012.685113" ext-link-type="DOI">10.1080/02786826.2012.685113</ext-link>, 2012.</mixed-citation></ref>
      <ref id="bib1.bib51"><label>51</label><?label 1?><mixed-citation>Prabha, T. V., Khain, A., Maheshkumar, R. S., Pandithurai, G., Kulkarni, J.
R., Konwar, M., and Goswami, B. N.: Microphysics of Premonsoon and Monsoon
Clouds as Seen from In Situ Measurements during the Cloud Aerosol
Interaction and Precipitation Enhancement Experiment (CAIPEEX), J. Atmos. Sci., 68, 1882–1901, <ext-link xlink:href="https://doi.org/10.1175/2011JAS3707.1" ext-link-type="DOI">10.1175/2011JAS3707.1</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib52"><label>52</label><?label 1?><mixed-citation>Pringle, K. J., Tost, H., Pozzer, A., Pöschl, U., and Lelieveld, J.: Global distribution of the effective aerosol hygroscopicity parameter for CCN activation, Atmos. Chem. Phys., 10, 5241–5255, <ext-link xlink:href="https://doi.org/10.5194/acp-10-5241-2010" ext-link-type="DOI">10.5194/acp-10-5241-2010</ext-link>, 2010.</mixed-citation></ref>
      <ref id="bib1.bib53"><label>53</label><?label 1?><mixed-citation>
Purohit, M. K. and Kaur, S.: Rainfall Statistics of India – 2016, Hydromet
Division, India Meteorological Department (Ministry of Earth Sciences), New
Delhi, India, 2016.</mixed-citation></ref>
      <ref id="bib1.bib54"><label>54</label><?label 1?><mixed-citation>Raga, G. B. and Jonas, P. R.: Vertical distribution of aerosol particles
and CCN in clear air around the British Isles, Atmos. Environ., 29,
673–684, <ext-link xlink:href="https://doi.org/10.1016/1352-2310(94)00314-B" ext-link-type="DOI">10.1016/1352-2310(94)00314-B</ext-link>, 1995.</mixed-citation></ref>
      <ref id="bib1.bib55"><label>55</label><?label 1?><mixed-citation>Ram, K., Tripathi, S. N., Sarin, M. M., and Bhattu, D.: Primary and
secondary aerosols from an urban site (Kanpur) in the Indo-Gangetic Plain:
Impact on CCN, CN concentrations and optical properties, Atmos. Environ., 89, 655–663, <ext-link xlink:href="https://doi.org/10.1016/j.atmosenv.2014.02.009" ext-link-type="DOI">10.1016/j.atmosenv.2014.02.009</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib56"><label>56</label><?label 1?><mixed-citation>
Roberts, G. C. and Nenes, A.: A continuous-flow streamwise thermal-gradient
CCN chamber for atmospheric measurements, Aerosol Sci. Tech., 39, 206–221, 2005.</mixed-citation></ref>
      <ref id="bib1.bib57"><label>57</label><?label 1?><mixed-citation>Rose, D., Gunthe, S. S., Su, H., Garland, R. M., Yang, H., Berghof, M., Cheng, Y. F., Wehner, B., Achtert, P., Nowak, A., Wiedensohler, A., Takegawa, N., Kondo, Y., Hu, M., Zhang, Y., Andreae, M. O., and Pöschl, U.: Cloud condensation nuclei in polluted air and biomass burning smoke near the mega-city Guangzhou, China – Part 2: Size-resolved aerosol chemical composition, diurnal cycles, and externally mixed weakly CCN-active soot particles, Atmos. Chem. Phys., 11, 2817–2836, <ext-link xlink:href="https://doi.org/10.5194/acp-11-2817-2011" ext-link-type="DOI">10.5194/acp-11-2817-2011</ext-link>, 2011.</mixed-citation></ref>
      <ref id="bib1.bib58"><label>58</label><?label 1?><mixed-citation>Rosenfeld, D., Lohmann, U., Raga, G. B., O'Dowd, C. D., Kulmala, M., Fuzzi,
S., Reissell, A., and Andreae, M. O.: Flood or drought: How do aerosols
affect precipitation?, Science, 321, 1309–1313,
<ext-link xlink:href="https://doi.org/10.1126/science.1160606" ext-link-type="DOI">10.1126/science.1160606</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib59"><label>59</label><?label 1?><mixed-citation>Rosenfeld, D., Andreae, M. O., Asmi, A., Chin, M., Leeuw, G., Donovan, D.
P., Kahn, R., Kinne, S., Kivekäs, N., and Kulmala, M.: Global
observations of aerosol-cloud-precipitation-climate interactions, Rev. Geophys., 52, 750–808, <ext-link xlink:href="https://doi.org/10.1002/2013RG000441" ext-link-type="DOI">10.1002/2013RG000441</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib60"><label>60</label><?label 1?><mixed-citation>Roy, A., Chatterjee, A., Sarkar, C., Das, S. K., Ghosh, S. K., and Raha, S.:
A study on aerosol-cloud condensation nuclei (CCN) activation over eastern
Himalaya in India, Atmos. Res., 189, 69–81,
<ext-link xlink:href="https://doi.org/10.1016/j.atmosres.2017.01.015" ext-link-type="DOI">10.1016/j.atmosres.2017.01.015</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bib61"><label>61</label><?label 1?><mixed-citation>Satheesh, S. K., Moorthy, K. K., Babu, S. S., Vinoj, V., and Dutt, C. B. S.:
Climate implications of large warming by elevated aerosol over India,
Geophys. Res. Lett., 35, L19809, <ext-link xlink:href="https://doi.org/10.1029/2008gl034944" ext-link-type="DOI">10.1029/2008gl034944</ext-link>, 2008.</mixed-citation></ref>
      <ref id="bib1.bib62"><label>62</label><?label 1?><mixed-citation>Seinfeld, J. H., Bretherton, C., Carslaw, K. S., Coe, H., DeMott, P. J.,
Dunlea, E. J., Feingold, G., Ghan, S., Guenther, A. B., and Kahn, R.:
Improving our fundamental understanding of the role of aerosol-cloud
interactions in the climate system, P. Natl. Acad. Sci. USA, 113, 5781–5790,
<ext-link xlink:href="https://doi.org/10.1073/pnas.1514043113" ext-link-type="DOI">10.1073/pnas.1514043113</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib63"><label>63</label><?label 1?><mixed-citation>Shika, S., Gadhavi, H., Suman, M. N. S., Ravikrishna, R., and Gunthe, S. S.:
Atmospheric aerosol properties at a semi-rural location in southern India:
particle size distributions an<?pagebreak page8997?>d implications for cloud droplet formation,
SN Applied Sciences, 2, 1007, <ext-link xlink:href="https://doi.org/10.1007/s42452-020-2804-2" ext-link-type="DOI">10.1007/s42452-020-2804-2</ext-link>, 2020.</mixed-citation></ref>
      <ref id="bib1.bib64"><label>64</label><?label 1?><mixed-citation>Singla, V., Mukherjee, S., Safai, P. D., Meena, G. S., Dani, K. K., and
Pandithurai, G.: Role of organic aerosols in CCN activation and closure over
a rural background site in Western Ghats, India, Atmos. Environ.,
158, 148–159, <ext-link xlink:href="https://doi.org/10.1016/j.atmosenv.2017.03.037" ext-link-type="DOI">10.1016/j.atmosenv.2017.03.037</ext-link>, 2017.</mixed-citation></ref>
      <ref id="bib1.bib65"><label>65</label><?label 1?><mixed-citation>Song, F., Zhou, T., and Qian, Y.: Responses of East Asian summer monsoon to
natural and anthropogenic forcings in the 17 latest CMIP5 models,
Geophys. Res. Lett., 41, 596–603, <ext-link xlink:href="https://doi.org/10.1002/2013GL058705" ext-link-type="DOI">10.1002/2013GL058705</ext-link>, 2014.</mixed-citation></ref>
      <ref id="bib1.bib66"><label>66</label><?label 1?><mixed-citation>Srivastava, M., Tripathi, S. N., Dwivedi, A. K., Dalai, R., Bhattu, D.,
Bharti, P. K., Jaidevi, J., and Gupta, T.: CCN closure results from Indian
Continental Tropical Convergence Zone (CTCZ) aircraft experiment,
Atmos. Res., 132–133, 322–331,
<ext-link xlink:href="https://doi.org/10.1016/j.atmosres.2013.05.025" ext-link-type="DOI">10.1016/j.atmosres.2013.05.025</ext-link>, 2013.</mixed-citation></ref>
      <ref id="bib1.bib67"><label>67</label><?label 1?><mixed-citation>Stevens, B. and Feingold, G.: Untangling aerosol effects on clouds and
precipitation in a buffered system, Nature, 461, 607–613,
<ext-link xlink:href="https://doi.org/10.1038/nature08281" ext-link-type="DOI">10.1038/nature08281</ext-link>, 2009.</mixed-citation></ref>
      <ref id="bib1.bib68"><label>68</label><?label 1?><mixed-citation>
Stocker, T. F., Qin, D., Plattner, G. K., Tignor, M., Allen, S. K.,
Boschung, J., Nauels, A., Xia, Y., Bex, B., and Midgley, B. M.: IPCC, Climate Change 2013: the physical science basis, in: Contribution of working
group I to the fifth assessment report of the intergovernmental panel on
climate change, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1535 pp., 2013.</mixed-citation></ref>
      <ref id="bib1.bib69"><label>69</label><?label 1?><mixed-citation>Trembath, J. A.: Airborne CCN measurements,  PhD thesis, The University of Manchester, United Kingdom,  268 pp., available at: <uri>https://www.escholar.manchester.ac.uk/api/datastream?publicationPid=uk-ac-man-scw:212956&amp;datastreamId=FULL-TEXT.PDF</uri> (last access: 5 June 2021), 2013.</mixed-citation></ref>
      <ref id="bib1.bib70"><label>70</label><?label 1?><mixed-citation>Trenberth, K. E., Fasullo, J. T., and Kiehl, J.: Earth's Global Energy
Budget, B. Am. Meteorol. Soc., 90, 311–323, <ext-link xlink:href="https://doi.org/10.1175/2008BAMS2634.1" ext-link-type="DOI">10.1175/2008BAMS2634.1</ext-link>, 2009.
</mixed-citation></ref><?xmltex \hack{\newpage}?>
      <ref id="bib1.bib71"><label>71</label><?label 1?><mixed-citation>Twomey, S.: The nuclei of natural cloud formation part II: The
supersaturation in natural clouds and the variation of cloud droplet
concentration, Pure Appl. Geophys., 43, 243–249,
<ext-link xlink:href="https://doi.org/10.1007/BF01993560" ext-link-type="DOI">10.1007/BF01993560</ext-link>, 1959.</mixed-citation></ref>
      <ref id="bib1.bib72"><label>72</label><?label 1?><mixed-citation>Twomey, S.: Pollution and the planetary albedo, Atmos. Environ., 8, 1251–1256, <ext-link xlink:href="https://doi.org/10.1016/0004-6981(74)90004-3" ext-link-type="DOI">10.1016/0004-6981(74)90004-3</ext-link>, 1974.</mixed-citation></ref>
      <ref id="bib1.bib73"><label>73</label><?label 1?><mixed-citation>Twomey, S. and Wojciechowski, T. A.: Observations of the geographical
variation of cloud nuclei, J. Atmos. Sci., 26, 648–651, <ext-link xlink:href="https://doi.org/10.1175/1520-0469(1969)26&lt;648:OOTGVO&gt;2.0.CO;2" ext-link-type="DOI">10.1175/1520-0469(1969)26&lt;648:OOTGVO&gt;2.0.CO;2</ext-link>, 1969.</mixed-citation></ref>
      <ref id="bib1.bib74"><label>74</label><?label 1?><mixed-citation>Vaishya, A., Babu, S. N. S., Jayachandran, V., Gogoi, M. M., Lakshmi, N. B., Moorthy, K. K., and Satheesh, S. K.: Large contrast in the vertical distribution of aerosol optical properties and radiative effects across the Indo-Gangetic Plain during the SWAAMI–RAWEX campaign, Atmos. Chem. Phys., 18, 17669–17685, <ext-link xlink:href="https://doi.org/10.5194/acp-18-17669-2018" ext-link-type="DOI">10.5194/acp-18-17669-2018</ext-link>, 2018.</mixed-citation></ref>
      <ref id="bib1.bib75"><label>75</label><?label 1?><mixed-citation>Varghese, M., Prabha, T. V., Malap, N., Resmi, E. A., Murugavel, P., Safai,
P. D., Axisa, D., Pandithurai, G., and Dani, K.: Airborne and ground based
CCN spectral characteristics: Inferences from CAIPEEX – 2011, Atmos. Environ., 125, 324–336, <ext-link xlink:href="https://doi.org/10.1016/j.atmosenv.2015.06.041" ext-link-type="DOI">10.1016/j.atmosenv.2015.06.041</ext-link>, 2016.</mixed-citation></ref>
      <ref id="bib1.bib76"><label>76</label><?label 1?><mixed-citation>Zhang, Q., Meng, J., Quan, J., Gao, Y., Zhao, D., Chen, P., and He, H.: Impact of aerosol composition on cloud condensation nuclei activity, Atmos. Chem. Phys., 12, 3783–3790, <ext-link xlink:href="https://doi.org/10.5194/acp-12-3783-2012" ext-link-type="DOI">10.5194/acp-12-3783-2012</ext-link>, 2012.</mixed-citation></ref>

  </ref-list></back>
    <!--<article-title-html>Measurement report: Altitudinal variation of cloud condensation nuclei activation across the Indo-Gangetic Plain prior to monsoon onset and during peak monsoon periods: results from the SWAAMI field campaign</article-title-html>
<abstract-html><p>Vertical distributions (altitude profiles) of condensation nuclei (CN) and cloud condensation nuclei (CCN) and their
spatial variations across the Indo-Gangetic Plain (IGP) have been
investigated based on airborne measurements carried out during the SWAAMI field campaign (June to July 2016) capturing the contrasting phases of the
Indian monsoon activity in 2016 just prior to its onset and during its active phase. Prior to the monsoon onset, high concentrations of CN and CCN
prevailed across the IGP, and the profiles revealed frequent occurrence of elevated layers (in the altitude range 1–3&thinsp;km). Highest concentrations and
elevated peaks with high values occurred over the central IGP. The scenario
changed dramatically during the active phase of the monsoon, when the CN and
CCN concentrations dropped (CN by 20&thinsp;% to 30&thinsp;% and CCN by 6&thinsp;% to 25&thinsp;%)
throughout the IGP with more pronounced changes at altitudes higher than 3&thinsp;km where decreases as high as <i>&gt;</i>&thinsp;80&thinsp;% were observed. These
reductions have an east-to-west decreasing gradient, being most remarkable in the eastern IGP and very weak over the western IGP where the CN
concentrations above 3&thinsp;km increased during the monsoon. The activation
ratios (ARs) showed contrasting features, increasing with increase in altitude, prior to the onset of monsoon, reversing the trend to decrease
with increase in altitude during the active phase of the monsoon. The
supersaturation spectrum became flatter during the active phase of the
monsoon, indicating an increase in the hygroscopicity of aerosols following the mixing of surface-based emissions with the advected marine air mass.</p></abstract-html>
<ref-html id="bib1.bib1"><label>1</label><mixed-citation>
Albrecht, B. A.: Aerosols, cloud microphysics, and fractional cloudiness,
Science, 245, 1227–1230, <a href="https://doi.org/10.1126/science.245.4923.1227" target="_blank">https://doi.org/10.1126/science.245.4923.1227</a>, 1989.
</mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>2</label><mixed-citation>
Altaratz, O., Koren, I., Remer, L. A., and Hirsch, E.: Review: Cloud
invigoration by aerosols – Coupling between microphysics and dynamics,
Atmos. Res., 140–141, 38–60, <a href="https://doi.org/10.1016/j.atmosres.2014.01.009" target="_blank">https://doi.org/10.1016/j.atmosres.2014.01.009</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>3</label><mixed-citation>
Andreae, M. O. and Rosenfeld, D.: Aerosol-cloud-precipitation
interactions, Part 1: The nature and sources of cloud-active aerosols,
Earth-Sci. Rev., 89, 13–41, <a href="https://doi.org/10.1016/j.earscirev.2008.03.001" target="_blank">https://doi.org/10.1016/j.earscirev.2008.03.001</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>4</label><mixed-citation>
Arub, Z., Bhandari, S., Gani, S., Apte, J. S., Hildebrandt Ruiz, L., and Habib, G.: Air mass physiochemical characteristics over New Delhi: impacts on aerosol hygroscopicity and cloud condensation nuclei (CCN) formation, Atmos. Chem. Phys., 20, 6953–6971, <a href="https://doi.org/10.5194/acp-20-6953-2020" target="_blank">https://doi.org/10.5194/acp-20-6953-2020</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>5</label><mixed-citation>
Babu, S. S., Manoj, M. R., Moorthy, K. K., Gogoi, M. M., Nair, V. S.,
Kompalli, S. K., Satheesh, S. K., Niranjan, K., Ramagopal, K., Bhuyan, P.
K., and Singh, D.: Trends in aerosol optical depth over Indian region:
Potential causes and impact indicators, J. Geophys. Res.-Atmos., 118, 11794–11806, <a href="https://doi.org/10.1002/2013jd020507" target="_blank">https://doi.org/10.1002/2013jd020507</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>6</label><mixed-citation>
Bellouin, N., Quaas, J., Gryspeerdt, E., Kinne, S., Stier, P.,
Watson-Parris, D., Boucher, O., Carslaw, K. S., Christensen, M., and Daniau,
A. L.: Bounding global aerosol radiative forcing of climate change, Rev. Geophys., 58, e2019RG000660, <a href="https://doi.org/10.1029/2019RG000660" target="_blank">https://doi.org/10.1029/2019RG000660</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>7</label><mixed-citation>
Bhattu, D. and Tripathi, S. N.: Inter-seasonal variability in size-resolved
CCN properties at Kanpur, India, Atmos. Environ., 85, 161–168,
<a href="https://doi.org/10.1016/j.atmosenv.2013.12.016" target="_blank">https://doi.org/10.1016/j.atmosenv.2013.12.016</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>8</label><mixed-citation>
Bhattu, D., Tripathi, S. N., and Chakraborty, A.: Deriving aerosol
hygroscopic mixing state from size-resolved CCN activity and HR-ToF-AMS
measurements, Atmos. Environ., 142, 57–70,
<a href="https://doi.org/10.1016/j.atmosenv.2016.07.032" target="_blank">https://doi.org/10.1016/j.atmosenv.2016.07.032</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>9</label><mixed-citation>
Brooks, J., Allan, J. D., Williams, P. I., Liu, D., Fox, C., Haywood, J., Langridge, J. M., Highwood, E. J., Kompalli, S. K., O'Sullivan, D., Babu, S. S., Satheesh, S. K., Turner, A. G., and Coe, H.: Vertical and horizontal distribution of submicron aerosol chemical composition and physical characteristics across northern India during pre-monsoon and monsoon seasons, Atmos. Chem. Phys., 19, 5615–5634, <a href="https://doi.org/10.5194/acp-19-5615-2019" target="_blank">https://doi.org/10.5194/acp-19-5615-2019</a>, 2019a.
</mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>10</label><mixed-citation>
Brooks, J., Liu, D., Allan, J. D., Williams, P. I., Haywood, J., Highwood, E. J., Kompalli, S. K., Babu, S. S., Satheesh, S. K., Turner, A. G., and Coe, H.: Black carbon physical and optical properties across northern India during pre-monsoon and monsoon seasons, Atmos. Chem. Phys., 19, 13079–13096, <a href="https://doi.org/10.5194/acp-19-13079-2019" target="_blank">https://doi.org/10.5194/acp-19-13079-2019</a>, 2019b.
</mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>11</label><mixed-citation>
Cohard, J.-M., Pinty, J.-P., and Bedos, C.: Extending Twomey's Analytical
Estimate of Nucleated Cloud Droplet Concentrations from CCN Spectra,
J. Atmos. Sci., 55, 3348–3357,
<a href="https://doi.org/10.1175/1520-0469(1998)055&lt;3348:ETSAEO&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0469(1998)055&lt;3348:ETSAEO&gt;2.0.CO;2</a>, 1998.
</mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>12</label><mixed-citation>
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J.-N., and Vitart, F.: The ERA-Interim reanalysis: Configuration and performance of the data
assimilation system, Q. J. Roy. Meteor. Soc., 137, 553–597, <a href="https://doi.org/10.1002/qj.828" target="_blank">https://doi.org/10.1002/qj.828</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>13</label><mixed-citation>
Deng, Z. Z., Zhao, C. S., Ma, N., Liu, P. F., Ran, L., Xu, W. Y., Chen, J., Liang, Z., Liang, S., Huang, M. Y., Ma, X. C., Zhang, Q., Quan, J. N., Yan, P., Henning, S., Mildenberger, K., Sommerhage, E., Schäfer, M., Stratmann, F., and Wiedensohler, A.: Size-resolved and bulk activation properties of aerosols in the North China Plain, Atmos. Chem. Phys., 11, 3835–3846, <a href="https://doi.org/10.5194/acp-11-3835-2011" target="_blank">https://doi.org/10.5194/acp-11-3835-2011</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>14</label><mixed-citation>
Dumka, U. C., Bhattu, D., Tripathi, S. N., Kaskaoutis, D. G., and Madhavan,
B. L.: Seasonal inhomogeneity in cloud precursors over Gangetic Himalayan
region during GVAX campaign, Atmos. Res., 155, 158–175,
<a href="https://doi.org/10.1016/j.atmosres.2014.11.022" target="_blank">https://doi.org/10.1016/j.atmosres.2014.11.022</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>15</label><mixed-citation>
Dumka, U. C., Kaskaoutis, D. G., Mihalopoulos, N., and Sheoran, R.:
Identification of key aerosol types and mixing states in the central Indian
Himalayas during the GVAX campaign: the role of particle size in aerosol
classification, Sci. Total Environ., 761, 143188,
<a href="https://doi.org/10.1016/j.scitotenv.2020.143188" target="_blank">https://doi.org/10.1016/j.scitotenv.2020.143188</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>16</label><mixed-citation>
Dusek, U., Frank, G., Hildebrandt, L., Curtius, J., Schneider, J., Walter,
S., Chand, D., Drewnick, F., Hings, S., Jung, D., Borrmann, S., and Andreae,
M. O.: Size matters more than chemistry for cloud-nucleating ability of
aerosol particles, Science, 312, 1375–1378,
<a href="https://doi.org/10.1126/science.1125261" target="_blank">https://doi.org/10.1126/science.1125261</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>17</label><mixed-citation>
Fan, J., Wang, Y., Rosenfeld, D., and Liu, X.: Review of Aerosol-Cloud
Interactions: Mechanisms, Significance, and Challenges, J. Atmos. Sci., 73, 4221–4252, <a href="https://doi.org/10.1175/JAS-D-16-0037.1" target="_blank">https://doi.org/10.1175/JAS-D-16-0037.1</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>18</label><mixed-citation>
Fitzgerald, J. W.: Dependence of the Supersaturation Spectrum of CCN on
Aerosol Size Distribution and Composition, J. Atmos. Sci., 30, 628–634,
<a href="https://doi.org/10.1175/1520-0469(1973)030&lt;0628:DOTSSO&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0469(1973)030&lt;0628:DOTSSO&gt;2.0.CO;2</a>, 1973.
</mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>19</label><mixed-citation>
Gautam, R., Hsu, N. C., Lau, K.-M., and Kafatos, M.: Aerosol and rainfall variability over the Indian monsoon region: distributions, trends and coupling, Ann. Geophys., 27, 3691–3703, <a href="https://doi.org/10.5194/angeo-27-3691-2009" target="_blank">https://doi.org/10.5194/angeo-27-3691-2009</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib20"><label>20</label><mixed-citation>
Gautam, R., Hsu, N. C., Tsay, S. C., Lau, K. M., Holben, B., Bell, S., Smirnov, A., Li, C., Hansell, R., Ji, Q., Payra, S., Aryal, D., Kayastha, R., and Kim, K. M.: Accumulation of aerosols over the Indo-Gangetic plains and southern slopes of the Himalayas: distribution, properties and radiative effects during the 2009 pre-monsoon season, Atmos. Chem. Phys., 11, 12841–12863, <a href="https://doi.org/10.5194/acp-11-12841-2011" target="_blank">https://doi.org/10.5194/acp-11-12841-2011</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib21"><label>21</label><mixed-citation>
Gogoi, M. M., Babu, S. S., Jayachandran, V., Moorthy, K. K., Satheesh, S.
K., Naja, M., and Kotamarthi, V. R.: Optical properties and CCN activity of
aerosols in a high-altitude Himalayan environment: Results from RAWEX-GVAX,
J. Geophys. Res.-Atmos., 120, 2453–2469, <a href="https://doi.org/10.1002/2014JD022966" target="_blank">https://doi.org/10.1002/2014JD022966</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib22"><label>22</label><mixed-citation>
Goswami, B. N., Venugopal, V., Sengupta, D., Madhusoodanan, M., and Xavier,
P. K.: Increasing trend of extreme rain events over India in a warming
environment, Science, 314, 1442–1445,
<a href="https://doi.org/10.1126/science.1132027" target="_blank">https://doi.org/10.1126/science.1132027</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib23"><label>23</label><mixed-citation>
Guhathakurta, P., Rajeevan, M., Sikka, D. R., and Tyagi, A.: Observed
changes in southwest monsoon rainfall over India during 1901–2011,
Int. J. Climatol., 35, 1881–1898, <a href="https://doi.org/10.1002/joc.4095" target="_blank">https://doi.org/10.1002/joc.4095</a>, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib24"><label>24</label><mixed-citation>
Gunthe, S. S., King, S. M., Rose, D., Chen, Q., Roldin, P., Farmer, D. K., Jimenez, J. L., Artaxo, P., Andreae, M. O., Martin, S. T., and Pöschl, U.: Cloud condensation nuclei in pristine tropical rainforest air of Amazonia: size-resolved measurements and modeling of atmospheric aerosol composition and CCN activity, Atmos. Chem. Phys., 9, 7551–7575, <a href="https://doi.org/10.5194/acp-9-7551-2009" target="_blank">https://doi.org/10.5194/acp-9-7551-2009</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib25"><label>25</label><mixed-citation>
Hegg, D. A., Radke, L. F., and Hobbs, P. V.: Measurements of Aitken nuclei
and cloud condensation nuclei in the marine atmosphere and their relation to
the DMS-Cloud-climate hypothesis, J. Geophys. Res.-Atmos., 96, 18727–18733,
<a href="https://doi.org/10.1029/91JD01870" target="_blank">https://doi.org/10.1029/91JD01870</a>, 1991.
</mixed-citation></ref-html>
<ref-html id="bib1.bib26"><label>26</label><mixed-citation>
Highwood, E. J., Northway, M. J., McMeeking, G. R., Morgan, W. T., Liu, D., Osborne, S., Bower, K., Coe, H., Ryder, C., and Williams, P.: Aerosol scattering and absorption during the EUCAARI-LONGREX flights of the Facility for Airborne Atmospheric Measurements (FAAM) BAe-146: can measurements and models agree?, Atmos. Chem. Phys., 12, 7251–7267, <a href="https://doi.org/10.5194/acp-12-7251-2012" target="_blank">https://doi.org/10.5194/acp-12-7251-2012</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib27"><label>27</label><mixed-citation>
Hings, S. S., Wrobel, W. C., Cross, E. S., Worsnop, D. R., Davidovits, P., and Onasch, T. B.: CCN activation experiments with adipic acid: effect of particle phase and adipic acid coatings on soluble and insoluble particles, Atmos. Chem. Phys., 8, 3735–3748, <a href="https://doi.org/10.5194/acp-8-3735-2008" target="_blank">https://doi.org/10.5194/acp-8-3735-2008</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib28"><label>28</label><mixed-citation>
Hudson, J. G.: Variability of the relationship between particle size and
cloud-nucleating ability, Geophys. Res. Lett., 34,  L08801, <a href="https://doi.org/10.1029/2006GL028850" target="_blank">https://doi.org/10.1029/2006GL028850</a>, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib29"><label>29</label><mixed-citation>
Jayachandran, V., Nair, V. S., and Babu, S. S.: CCN characteristics over a
tropical coastal station during south-west monsoon: observations and closure
studies, Atmos. Environ., 164, 299–308,
<a href="https://doi.org/10.1016/j.atmosenv.2017.06.012" target="_blank">https://doi.org/10.1016/j.atmosenv.2017.06.012</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib30"><label>30</label><mixed-citation>
Jayachandran, V., Nair, V. S., and Babu, S. S.: CCN activation properties at
a tropical hill station in Western Ghats during south-west summer monsoon:
Vertical heterogeneity, Atmos. Res., 214, 36–45,
<a href="https://doi.org/10.1016/j.atmosres.2018.07.018" target="_blank">https://doi.org/10.1016/j.atmosres.2018.07.018</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib31"><label>31</label><mixed-citation>
Jayachandran, V. N., Suresh Babu, S. N., Vaishya, A., Gogoi, M. M., Nair, V. S., Satheesh, S. K., and Krishna Moorthy, K.: Altitude profiles of cloud condensation nuclei characteristics across the Indo-Gangetic Plain prior to the onset of the Indian summer monsoon, Atmos. Chem. Phys., 20, 561–576, <a href="https://doi.org/10.5194/acp-20-561-2020" target="_blank">https://doi.org/10.5194/acp-20-561-2020</a>, 2020a.
</mixed-citation></ref-html>
<ref-html id="bib1.bib32"><label>32</label><mixed-citation>
Jayachandran, V. N., Varghese, M., Murugavel, P., Todekar, K. S., Bankar, S. P., Malap, N., Dinesh, G., Safai, P. D., Rao, J., Konwar, M., Dixit, S., and Prabha, T. V.: Cloud condensation nuclei characteristics during the Indian summer monsoon over a rain-shadow region, Atmos. Chem. Phys., 20, 7307–7334, <a href="https://doi.org/10.5194/acp-20-7307-2020" target="_blank">https://doi.org/10.5194/acp-20-7307-2020</a>, 2020b.
</mixed-citation></ref-html>
<ref-html id="bib1.bib33"><label>33</label><mixed-citation>
Jefferson, A.: Empirical estimates of CCN from aerosol optical properties at four remote sites, Atmos. Chem. Phys., 10, 6855–6861, <a href="https://doi.org/10.5194/acp-10-6855-2010" target="_blank">https://doi.org/10.5194/acp-10-6855-2010</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib34"><label>34</label><mixed-citation>
Johnson, B., Turnbull, K., Brown, P., Burgess, R., Dorsey, J., Baran, A. J.,
Webster, H., Haywood, J., Cotton, R., Ulanowski, Z., Hesse, E., Woolley, A.,
and Rosenberg, P.: In situ observations of volcanic ash clouds from the FAAM
aircraft during the eruption of Eyjafjallajökull in 2010, J. Geophys. Res.-Atmos., 117, D00U24, <a href="https://doi.org/10.1029/2011JD016760" target="_blank">https://doi.org/10.1029/2011JD016760</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib35"><label>35</label><mixed-citation>
Kelly, J. T., Chuang, C. C., and Wexler, A. S.: Influence of dust
composition on cloud droplet formation, Atmos. Environ., 41,
2904–2916, <a href="https://doi.org/10.1016/j.atmosenv.2006.12.008" target="_blank">https://doi.org/10.1016/j.atmosenv.2006.12.008</a>, 2007.
</mixed-citation></ref-html>
<ref-html id="bib1.bib36"><label>36</label><mixed-citation>
Khain, A. P.: Notes on state-of-the-art investigations of aerosol effects on
precipitation: a critical review, Environ. Res. Lett., 4, 015004, <a href="https://doi.org/10.1088/1748-9326/4/1/015004" target="_blank">https://doi.org/10.1088/1748-9326/4/1/015004</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib37"><label>37</label><mixed-citation>
Koren, I., Dagan, G., and Altaratz, O.: From aerosol-limited to invigoration
of warm convective clouds, Science, 344, 1143–1146,
<a href="https://doi.org/10.1126/science.1252595" target="_blank">https://doi.org/10.1126/science.1252595</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib38"><label>38</label><mixed-citation>
Kulkarni, J. R., Maheskumar, R. S., Morwal, S. B., Padmakumari, B., Konwar,
M., Deshpande, C. G., Joshi, R. R., Bhalwankar, R. V., Pandithurai, G., and
Safai, P. D.: The cloud aerosol interactions and precipitation enhancement
experiment (CAIPEEX): overview and preliminary results, Curr. Sci. India, 102, 413–425, <a href="http://repository.ias.ac.in/93580/1/7-p.pdf" target="_blank"/> (last access: 2 June 2021), 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib39"><label>39</label><mixed-citation>
Lance, S., Nenes, A., Medina, J., and Smith, J. N.: Mapping the Operation of
the DMT Continuous Flow CCN Counter, Aerosol Sci. Tech., 40, 242–254, <a href="https://doi.org/10.1080/02786820500543290" target="_blank">https://doi.org/10.1080/02786820500543290</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib40"><label>40</label><mixed-citation>
Lance, S., Raatikainen, T., Onasch, T. B., Worsnop, D. R., Yu, X.-Y., Alexander, M. L., Stolzenburg, M. R., McMurry, P. H., Smith, J. N., and Nenes, A.: Aerosol mixing state, hygroscopic growth and cloud activation efficiency during MIRAGE 2006, Atmos. Chem. Phys., 13, 5049–5062, <a href="https://doi.org/10.5194/acp-13-5049-2013" target="_blank">https://doi.org/10.5194/acp-13-5049-2013</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib41"><label>41</label><mixed-citation>
Lebo, Z. J. and Seinfeld, J. H.: Theoretical basis for convective invigoration due to increased aerosol concentration, Atmos. Chem. Phys., 11, 5407–5429, <a href="https://doi.org/10.5194/acp-11-5407-2011" target="_blank">https://doi.org/10.5194/acp-11-5407-2011</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib42"><label>42</label><mixed-citation>
Leena, P. P., Pandithurai, G., Anilkumar, V., Murugavel, P., Sonbawne, S.
M., and Dani, K. K.: Seasonal variability in aerosol, CCN and their
relationship observed at a high altitude site in Western Ghats,
Meteorol. Atmos. Phys., 128, 143–153, <a href="https://doi.org/10.1007/s00703-015-0406-0" target="_blank">https://doi.org/10.1007/s00703-015-0406-0</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib43"><label>43</label><mixed-citation>
Manoj, M. R., Satheesh, S. K., Moorthy, K. K., and Coe, H.: Vertical profiles of submicron aerosol single scattering albedo over the Indian region immediately before monsoon onset and during its development: research from the SWAAMI field campaign, Atmos. Chem. Phys., 20, 4031–4046, <a href="https://doi.org/10.5194/acp-20-4031-2020" target="_blank">https://doi.org/10.5194/acp-20-4031-2020</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib44"><label>44</label><mixed-citation>
Manoj, M. R., Satheesh, S. K., Moorthy, K. K., and Coe, H.: acp-2020-1233, figshare, Dataset, <a href="https://doi.org/10.6084/m9.figshare.14744046" target="_blank">https://doi.org/10.6084/m9.figshare.14744046</a>, 2021.
</mixed-citation></ref-html>
<ref-html id="bib1.bib45"><label>45</label><mixed-citation>
McFiggans, G., Artaxo, P., Baltensperger, U., Coe, H., Facchini, M. C., Feingold, G., Fuzzi, S., Gysel, M., Laaksonen, A., Lohmann, U., Mentel, T. F., Murphy, D. M., O'Dowd, C. D., Snider, J. R., and Weingartner, E.: The effect of physical and chemical aerosol properties on warm cloud droplet activation, Atmos. Chem. Phys., 6, 2593–2649, <a href="https://doi.org/10.5194/acp-6-2593-2006" target="_blank">https://doi.org/10.5194/acp-6-2593-2006</a>, 2006.
</mixed-citation></ref-html>
<ref-html id="bib1.bib46"><label>46</label><mixed-citation>
Meng, J. W., Yeung, M. C., Li, Y. J., Lee, B. Y. L., and Chan, C. K.: Size-resolved cloud condensation nuclei (CCN) activity and closure analysis at the HKUST Supersite in Hong Kong, Atmos. Chem. Phys., 14, 10267–10282, <a href="https://doi.org/10.5194/acp-14-10267-2014" target="_blank">https://doi.org/10.5194/acp-14-10267-2014</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib47"><label>47</label><mixed-citation>
Padmakumari, B., Maheskumar, R. S., Morwal, S. B., Harikishan, G., Konwar,
M., Kulkarni, J. R., and Goswami, B. N.: Aircraft observations of elevated
pollution layers near the foothills of the Himalayas during CAIPEEX-2009,
Q. J. Roy. Meteor. Soc., 139, 625–638, <a href="https://doi.org/10.1002/qj.1989" target="_blank">https://doi.org/10.1002/qj.1989</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib48"><label>48</label><mixed-citation>
Pai, D. S., Sridhar, L., Rajeevan, M., Sreejith, O. P., Satbhai, N. S., and
Mukhopadhyay, B.: Development of a new high spatial resolution
(0.25&thinsp; × &thinsp;0.25) long period (1901–2010) daily gridded rainfall data
set over India and its comparison with existing data sets over the region,
Mausam, 65, 1–18, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib49"><label>49</label><mixed-citation>
Pandey, A., Sadavarte, P., Rao, A. B., and Venkataraman, C.: Trends in
multi-pollutant emissions from a technology-linked inventory for India: II.
Residential, agricultural and informal industry sectors,
Atmos. Environ., 99, 341–352, <a href="https://doi.org/10.1016/j.atmosenv.2014.09.080" target="_blank">https://doi.org/10.1016/j.atmosenv.2014.09.080</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib50"><label>50</label><mixed-citation>
Patidar, V., Tripathi, S. N., Bharti, P. K., and Gupta, T.: First Surface
Measurement of Cloud Condensation Nuclei over Kanpur, IGP: Role of Long
Range Transport, Aerosol Sci. Tech., 46, 973–982,
<a href="https://doi.org/10.1080/02786826.2012.685113" target="_blank">https://doi.org/10.1080/02786826.2012.685113</a>, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib51"><label>51</label><mixed-citation>
Prabha, T. V., Khain, A., Maheshkumar, R. S., Pandithurai, G., Kulkarni, J.
R., Konwar, M., and Goswami, B. N.: Microphysics of Premonsoon and Monsoon
Clouds as Seen from In Situ Measurements during the Cloud Aerosol
Interaction and Precipitation Enhancement Experiment (CAIPEEX), J. Atmos. Sci., 68, 1882–1901, <a href="https://doi.org/10.1175/2011JAS3707.1" target="_blank">https://doi.org/10.1175/2011JAS3707.1</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib52"><label>52</label><mixed-citation>
Pringle, K. J., Tost, H., Pozzer, A., Pöschl, U., and Lelieveld, J.: Global distribution of the effective aerosol hygroscopicity parameter for CCN activation, Atmos. Chem. Phys., 10, 5241–5255, <a href="https://doi.org/10.5194/acp-10-5241-2010" target="_blank">https://doi.org/10.5194/acp-10-5241-2010</a>, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib53"><label>53</label><mixed-citation>
Purohit, M. K. and Kaur, S.: Rainfall Statistics of India – 2016, Hydromet
Division, India Meteorological Department (Ministry of Earth Sciences), New
Delhi, India, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib54"><label>54</label><mixed-citation>
Raga, G. B. and Jonas, P. R.: Vertical distribution of aerosol particles
and CCN in clear air around the British Isles, Atmos. Environ., 29,
673–684, <a href="https://doi.org/10.1016/1352-2310(94)00314-B" target="_blank">https://doi.org/10.1016/1352-2310(94)00314-B</a>, 1995.
</mixed-citation></ref-html>
<ref-html id="bib1.bib55"><label>55</label><mixed-citation>
Ram, K., Tripathi, S. N., Sarin, M. M., and Bhattu, D.: Primary and
secondary aerosols from an urban site (Kanpur) in the Indo-Gangetic Plain:
Impact on CCN, CN concentrations and optical properties, Atmos. Environ., 89, 655–663, <a href="https://doi.org/10.1016/j.atmosenv.2014.02.009" target="_blank">https://doi.org/10.1016/j.atmosenv.2014.02.009</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib56"><label>56</label><mixed-citation>
Roberts, G. C. and Nenes, A.: A continuous-flow streamwise thermal-gradient
CCN chamber for atmospheric measurements, Aerosol Sci. Tech., 39, 206–221, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib57"><label>57</label><mixed-citation>
Rose, D., Gunthe, S. S., Su, H., Garland, R. M., Yang, H., Berghof, M., Cheng, Y. F., Wehner, B., Achtert, P., Nowak, A., Wiedensohler, A., Takegawa, N., Kondo, Y., Hu, M., Zhang, Y., Andreae, M. O., and Pöschl, U.: Cloud condensation nuclei in polluted air and biomass burning smoke near the mega-city Guangzhou, China – Part 2: Size-resolved aerosol chemical composition, diurnal cycles, and externally mixed weakly CCN-active soot particles, Atmos. Chem. Phys., 11, 2817–2836, <a href="https://doi.org/10.5194/acp-11-2817-2011" target="_blank">https://doi.org/10.5194/acp-11-2817-2011</a>, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib58"><label>58</label><mixed-citation>
Rosenfeld, D., Lohmann, U., Raga, G. B., O'Dowd, C. D., Kulmala, M., Fuzzi,
S., Reissell, A., and Andreae, M. O.: Flood or drought: How do aerosols
affect precipitation?, Science, 321, 1309–1313,
<a href="https://doi.org/10.1126/science.1160606" target="_blank">https://doi.org/10.1126/science.1160606</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib59"><label>59</label><mixed-citation>
Rosenfeld, D., Andreae, M. O., Asmi, A., Chin, M., Leeuw, G., Donovan, D.
P., Kahn, R., Kinne, S., Kivekäs, N., and Kulmala, M.: Global
observations of aerosol-cloud-precipitation-climate interactions, Rev. Geophys., 52, 750–808, <a href="https://doi.org/10.1002/2013RG000441" target="_blank">https://doi.org/10.1002/2013RG000441</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib60"><label>60</label><mixed-citation>
Roy, A., Chatterjee, A., Sarkar, C., Das, S. K., Ghosh, S. K., and Raha, S.:
A study on aerosol-cloud condensation nuclei (CCN) activation over eastern
Himalaya in India, Atmos. Res., 189, 69–81,
<a href="https://doi.org/10.1016/j.atmosres.2017.01.015" target="_blank">https://doi.org/10.1016/j.atmosres.2017.01.015</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib61"><label>61</label><mixed-citation>
Satheesh, S. K., Moorthy, K. K., Babu, S. S., Vinoj, V., and Dutt, C. B. S.:
Climate implications of large warming by elevated aerosol over India,
Geophys. Res. Lett., 35, L19809, <a href="https://doi.org/10.1029/2008gl034944" target="_blank">https://doi.org/10.1029/2008gl034944</a>, 2008.
</mixed-citation></ref-html>
<ref-html id="bib1.bib62"><label>62</label><mixed-citation>
Seinfeld, J. H., Bretherton, C., Carslaw, K. S., Coe, H., DeMott, P. J.,
Dunlea, E. J., Feingold, G., Ghan, S., Guenther, A. B., and Kahn, R.:
Improving our fundamental understanding of the role of aerosol-cloud
interactions in the climate system, P. Natl. Acad. Sci. USA, 113, 5781–5790,
<a href="https://doi.org/10.1073/pnas.1514043113" target="_blank">https://doi.org/10.1073/pnas.1514043113</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib63"><label>63</label><mixed-citation>
Shika, S., Gadhavi, H., Suman, M. N. S., Ravikrishna, R., and Gunthe, S. S.:
Atmospheric aerosol properties at a semi-rural location in southern India:
particle size distributions and implications for cloud droplet formation,
SN Applied Sciences, 2, 1007, <a href="https://doi.org/10.1007/s42452-020-2804-2" target="_blank">https://doi.org/10.1007/s42452-020-2804-2</a>, 2020.
</mixed-citation></ref-html>
<ref-html id="bib1.bib64"><label>64</label><mixed-citation>
Singla, V., Mukherjee, S., Safai, P. D., Meena, G. S., Dani, K. K., and
Pandithurai, G.: Role of organic aerosols in CCN activation and closure over
a rural background site in Western Ghats, India, Atmos. Environ.,
158, 148–159, <a href="https://doi.org/10.1016/j.atmosenv.2017.03.037" target="_blank">https://doi.org/10.1016/j.atmosenv.2017.03.037</a>, 2017.
</mixed-citation></ref-html>
<ref-html id="bib1.bib65"><label>65</label><mixed-citation>
Song, F., Zhou, T., and Qian, Y.: Responses of East Asian summer monsoon to
natural and anthropogenic forcings in the 17 latest CMIP5 models,
Geophys. Res. Lett., 41, 596–603, <a href="https://doi.org/10.1002/2013GL058705" target="_blank">https://doi.org/10.1002/2013GL058705</a>, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib66"><label>66</label><mixed-citation>
Srivastava, M., Tripathi, S. N., Dwivedi, A. K., Dalai, R., Bhattu, D.,
Bharti, P. K., Jaidevi, J., and Gupta, T.: CCN closure results from Indian
Continental Tropical Convergence Zone (CTCZ) aircraft experiment,
Atmos. Res., 132–133, 322–331,
<a href="https://doi.org/10.1016/j.atmosres.2013.05.025" target="_blank">https://doi.org/10.1016/j.atmosres.2013.05.025</a>, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib67"><label>67</label><mixed-citation>
Stevens, B. and Feingold, G.: Untangling aerosol effects on clouds and
precipitation in a buffered system, Nature, 461, 607–613,
<a href="https://doi.org/10.1038/nature08281" target="_blank">https://doi.org/10.1038/nature08281</a>, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib68"><label>68</label><mixed-citation>
Stocker, T. F., Qin, D., Plattner, G. K., Tignor, M., Allen, S. K.,
Boschung, J., Nauels, A., Xia, Y., Bex, B., and Midgley, B. M.: IPCC, Climate Change 2013: the physical science basis, in: Contribution of working
group I to the fifth assessment report of the intergovernmental panel on
climate change, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1535 pp., 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib69"><label>69</label><mixed-citation>
Trembath, J. A.: Airborne CCN measurements,  PhD thesis, The University of Manchester, United Kingdom,  268 pp., available at: <a href="https://www.escholar.manchester.ac.uk/api/datastream?publicationPid=uk-ac-man-scw:212956&amp;datastreamId=FULL-TEXT.PDF" target="_blank"/> (last access: 5 June 2021), 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib70"><label>70</label><mixed-citation>
Trenberth, K. E., Fasullo, J. T., and Kiehl, J.: Earth's Global Energy
Budget, B. Am. Meteorol. Soc., 90, 311–323, <a href="https://doi.org/10.1175/2008BAMS2634.1" target="_blank">https://doi.org/10.1175/2008BAMS2634.1</a>, 2009.

</mixed-citation></ref-html>
<ref-html id="bib1.bib71"><label>71</label><mixed-citation>
Twomey, S.: The nuclei of natural cloud formation part II: The
supersaturation in natural clouds and the variation of cloud droplet
concentration, Pure Appl. Geophys., 43, 243–249,
<a href="https://doi.org/10.1007/BF01993560" target="_blank">https://doi.org/10.1007/BF01993560</a>, 1959.
</mixed-citation></ref-html>
<ref-html id="bib1.bib72"><label>72</label><mixed-citation>
Twomey, S.: Pollution and the planetary albedo, Atmos. Environ., 8, 1251–1256, <a href="https://doi.org/10.1016/0004-6981(74)90004-3" target="_blank">https://doi.org/10.1016/0004-6981(74)90004-3</a>, 1974.
</mixed-citation></ref-html>
<ref-html id="bib1.bib73"><label>73</label><mixed-citation>
Twomey, S. and Wojciechowski, T. A.: Observations of the geographical
variation of cloud nuclei, J. Atmos. Sci., 26, 648–651, <a href="https://doi.org/10.1175/1520-0469(1969)26&lt;648:OOTGVO&gt;2.0.CO;2" target="_blank">https://doi.org/10.1175/1520-0469(1969)26&lt;648:OOTGVO&gt;2.0.CO;2</a>, 1969.
</mixed-citation></ref-html>
<ref-html id="bib1.bib74"><label>74</label><mixed-citation>
Vaishya, A., Babu, S. N. S., Jayachandran, V., Gogoi, M. M., Lakshmi, N. B., Moorthy, K. K., and Satheesh, S. K.: Large contrast in the vertical distribution of aerosol optical properties and radiative effects across the Indo-Gangetic Plain during the SWAAMI–RAWEX campaign, Atmos. Chem. Phys., 18, 17669–17685, <a href="https://doi.org/10.5194/acp-18-17669-2018" target="_blank">https://doi.org/10.5194/acp-18-17669-2018</a>, 2018.
</mixed-citation></ref-html>
<ref-html id="bib1.bib75"><label>75</label><mixed-citation>
Varghese, M., Prabha, T. V., Malap, N., Resmi, E. A., Murugavel, P., Safai,
P. D., Axisa, D., Pandithurai, G., and Dani, K.: Airborne and ground based
CCN spectral characteristics: Inferences from CAIPEEX – 2011, Atmos. Environ., 125, 324–336, <a href="https://doi.org/10.1016/j.atmosenv.2015.06.041" target="_blank">https://doi.org/10.1016/j.atmosenv.2015.06.041</a>, 2016.
</mixed-citation></ref-html>
<ref-html id="bib1.bib76"><label>76</label><mixed-citation>
Zhang, Q., Meng, J., Quan, J., Gao, Y., Zhao, D., Chen, P., and He, H.: Impact of aerosol composition on cloud condensation nuclei activity, Atmos. Chem. Phys., 12, 3783–3790, <a href="https://doi.org/10.5194/acp-12-3783-2012" target="_blank">https://doi.org/10.5194/acp-12-3783-2012</a>, 2012.
</mixed-citation></ref-html>--></article>
