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  <front>
    <journal-meta><journal-id journal-id-type="publisher">ACP</journal-id><journal-title-group>
    <journal-title>Atmospheric Chemistry and Physics</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ACP</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Atmos. Chem. Phys.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1680-7324</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/acp-26-4313-2026</article-id><title-group><article-title>Exceptional wildfire smoke over Greece in summer 2023: a synergistic study of aerosol optical-microphysical and UVB radiative impacts</article-title><alt-title>Exceptional wildfire smoke over Greece in summer 2023</alt-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Gidarakou</surname><given-names>Marilena</given-names></name>
          <email>marilenagidarakou@mail.ntua.gr</email>
        <ext-link>https://orcid.org/0000-0001-8431-8638</ext-link></contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff1 aff2">
          <name><surname>Papayannis</surname><given-names>Alexandros</given-names></name>
          <email>alexandros.papagiannis@epfl.ch</email>
        <ext-link>https://orcid.org/0000-0002-5189-9381</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Mylonaki</surname><given-names>Maria</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Kralli</surname><given-names>Eleni</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff4 aff5">
          <name><surname>Eleftheratos</surname><given-names>Kostas</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-8897-3867</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff6">
          <name><surname>Fountoulakis</surname><given-names>Ilias</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-1511-0603</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff7">
          <name><surname>Zografou</surname><given-names>Olga</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-2889-2026</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff7">
          <name><surname>Diapouli</surname><given-names>Evangelia</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-8244-2018</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff7">
          <name><surname>Gini</surname><given-names>Maria I.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff7">
          <name><surname>Vratolis</surname><given-names>Stergios</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff7 aff8">
          <name><surname>Granakis</surname><given-names>Konstantinos</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff7">
          <name><surname>Eleftheriadis</surname><given-names>Konstantinos</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-2265-4905</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff9">
          <name><surname>Evangeliou</surname><given-names>Nikolaos</given-names></name>
          
        <ext-link>https://orcid.org/0000-0001-7196-1018</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff9">
          <name><surname>Groot Zwaaftink</surname><given-names>Christine</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-4286-5438</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Giagka</surname><given-names>Eugenia</given-names></name>
          
        <ext-link>https://orcid.org/0009-0007-9188-9253</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Zagklis</surname><given-names>Marios-Andreas</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff10">
          <name><surname>Veselovskii</surname><given-names>Igor</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Laser Remote Sensing Unit (LRSU), Department of Physics, National Technical University of Athens (NTUA), 15780 Zografou, Greece</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Laboratory of Atmospheric Processes and Their Impact (LAPI), École Polytechnique Fédérale de Laussane (EPFL), 1015 Lausanne, Switzerland</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Meteorological Institute, Ludwig-Maximilians-Universität München, 80539 Munich, Germany</institution>
        </aff>
        <aff id="aff4"><label>4</label><institution>National Kapodistrian University of Athens, Department of Geology and Geoenvironment, Athens, Greece</institution>
        </aff>
        <aff id="aff5"><label>5</label><institution>Biomedical Research Foundation, Academy of Athens, Athens, Greece</institution>
        </aff>
        <aff id="aff6"><label>6</label><institution>Research Centre for Atmospheric Physics and Climatology, Academy of Athens, Athens, Greece</institution>
        </aff>
        <aff id="aff7"><label>7</label><institution>Environmental Radioactivity &amp; Aerosol Technology for atmospheric &amp; Climate Impact Lab, INRaSTES, NCSR Demokritos, 15341 Athens, Greece</institution>
        </aff>
        <aff id="aff8"><label>8</label><institution>Climate and Climatic Change Group, Section of Environmental Physics and Meteorology, Department of Physics, National and Kapodistrian University of Athens, Athens, Greece</institution>
        </aff>
        <aff id="aff9"><label>9</label><institution>Department for Atmospheric and Climate Research (ATMOS), Stiftelsen NILU (former Norwegian Institute for Air Research), Kjeller, 2007, Norway</institution>
        </aff>
        <aff id="aff10"><label>10</label><institution>Prokhorov General Physics Institute, Russian Academy of Sciences, Moscow, Russia</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Marilena Gidarakou (marilenagidarakou@mail.ntua.gr) and Alexandros Papayannis (alexandros.papagiannis@epfl.ch)</corresp></author-notes><pub-date><day>27</day><month>March</month><year>2026</year></pub-date>
      
      <volume>26</volume>
      <issue>6</issue>
      <fpage>4313</fpage><lpage>4339</lpage>
      <history>
        <date date-type="received"><day>25</day><month>November</month><year>2025</year></date>
           <date date-type="rev-request"><day>5</day><month>December</month><year>2025</year></date>
           <date date-type="rev-recd"><day>28</day><month>February</month><year>2026</year></date>
           <date date-type="accepted"><day>6</day><month>March</month><year>2026</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2026 Marilena Gidarakou et al.</copyright-statement>
        <copyright-year>2026</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/26/4313/2026/acp-26-4313-2026.html">This article is available from https://acp.copernicus.org/articles/26/4313/2026/acp-26-4313-2026.html</self-uri><self-uri xlink:href="https://acp.copernicus.org/articles/26/4313/2026/acp-26-4313-2026.pdf">The full text article is available as a PDF file from https://acp.copernicus.org/articles/26/4313/2026/acp-26-4313-2026.pdf</self-uri>
      <abstract><title>Abstract</title>

      <p id="d2e292">During summer 2023, Greece experienced one of its most severe wildfire seasons in recent decades, with widespread fires across Evros, Rodopi, Attica, the Peloponnese, and several islands. This study investigates the aerosol optical and microphysical properties, as well as the impact on ground-level ultraviolet-B (UVB) radiation over Athens, focusing on two major wildfire episodes (18–21 July and 22–25 August). A synergistic approach was deployed, combining satellite imagery (MODIS), FLEXPART simulations, ground-based remoter sensing, in situ aerosol and radiation measurements. Elevated aerosol optical depths (AOD) up to 1.2, high fine-mode fractions (FMF) (<inline-formula><mml:math id="M1" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 0.85), and Ångström exponents (AE) above 1.5 indicated a strong dominance of fine biomass burning aerosols. The Single scattering albedo (SSA) ranged from 0.85 to 0.98, showing enhanced absorption during biomass burning periods and weaker absorption when smoke was mixed with dust. At 320 <inline-formula><mml:math id="M2" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>, dust presence resulted in stronger absorption, with SSA below 0.8 for pure dust cases compared to smoke mixtures. Particle linear depolarization ratios (PLDR), varied between 0.03 and 0.20, with higher values (<inline-formula><mml:math id="M3" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 0.10–0.20) reflecting the presence of non-spherical dust particles, and lower values (<inline-formula><mml:math id="M4" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 0.03–0.08) indicating spherical smoke particles. Ground-level UVB irradiance decreased by up to 50 % during peak smoke episodes, highlighting strong aerosol radiative impacts. Concurrently, <inline-formula><mml:math id="M5" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M6" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> concentrations increased to 94 and 49 <inline-formula><mml:math id="M7" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, respectively, while organic aerosols peaked at 22.77 <inline-formula><mml:math id="M8" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, consistent with intense fire activity. FLEXPART simulations confirmed long-range transport of smoke from active fire regions, with additional contributions from regional pollution and Saharan dust.</p>
  </abstract>
    
<funding-group>
<award-group id="gs1">
<funding-source>European Cooperation in Science and Technology</funding-source>
<award-id>COST Action Harmonia, CA21119, supported by COST</award-id>
</award-group>
<award-group id="gs2">
<funding-source>Hellenic Foundation for Research and Innovation</funding-source>
<award-id>9293</award-id>
</award-group>
</funding-group>
</article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d2e394">Wildfires are an increasing environmental threat in the Mediterranean, driven by very high temperatures, prolonged droughts, and extreme weather events associated with global warming and climate change (Ruffault et al., 2018). These events release large amounts of aerosols and trace gases (PM, CO, <inline-formula><mml:math id="M9" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">NO</mml:mi><mml:mi>x</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, VOCs), affecting air quality, human health, ecosystems, and climate (Knorr et al., 2017; Mylonaki et al., 2024; Vasilakopoulou et al., 2023). Moreover, biomass burning aerosols have significant radiative effects, altering atmospheric heating rates and contributing to short- and long-term climate forcing (Intergovernmental Panel On Climate Change (IPCC), 2023).</p>
      <p id="d2e408">Previous studies have documented wildfire impacts in Greece (Peloponnese 2007; Athens 2009, 2021; Evia 2021; Evros 2023) (Amiridis et al., 2012; Kaskaoutis et al., 2011, 2024; Masoom et al., 2023; Michailidis et al., 2024; Osswald et al., 2023; Turquety et al., 2009), highlighting long-range transport, elevated aerosol loadings, and complex vertical layering. For example, Kaskaoutis et al. (2011) showed long-distance transport during 2007 fires, while Amiridis et al. (2012) and Michailidis et al. (2024) reported extreme AOD and UV attenuation near urban centers. Modelling studies (Osswald et al., 2023) emphasized pollutant exceedances and public health concerns, and more recent work stressed the importance of multi-instrument observations to capture interactions between smoke, dust, and other short-lived climate forcers (Amiridis et al., 2024; Poutli et al., 2024). Nevertheless, comprehensive multi-parameter analyses of extreme smoke-dust episodes remain limited.</p>
      <p id="d2e411">Beyond the Mediterranean region numerous studies have investigated biomass burning impacts worldwide. Large-scale fire events in the Amazon (Baars et al., 2012; Mayol-Bracero et al., 2002), boreal regions (Burton et al., 2012; Groß et al., 2013; Murayama et al., 2004; Ortiz-Amezcua et al., 2017; Torres et al., 2020), and Australia (Ohneiser et al., 2020; Papanikolaou et al., 2022; Sellitto et al., 2022) have demonstrated severe impacts on atmospheric composition, radiative forcing, and long-range transport of smoke plumes. For instance, the 2019–2020 Australian wildfires injected smoke into the stratosphere with measurable global radiative effects (Chang et al., 2021; Heinold et al., 2022; Sellitto et al., 2023), while Canadian boreal fires in 2023 produced trans-Atlantic smoke transport to Europe (Gidarakou et al., 2025; Reichardt et al., 2024; Veselovskii et al., 2024). Such international examples highlight that biomass burning is not a regional problem but a global phenomenon with far-reaching implications. In this context, our study complements previous work by providing a detailed analysis of extreme wildfire-dust interactions in the Eastern Mediterranean, a climate-change hotspot.</p>
      <p id="d2e414">In this paper we focus on summer of 2023 which was one of the most catastrophic wildfire seasons in Greece. The Evros wildfire, ignited on 19 August, burned over 90 000 <inline-formula><mml:math id="M10" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">ha</mml:mi></mml:mrow></mml:math></inline-formula> under extreme heat (<inline-formula><mml:math id="M11" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 40 <inline-formula><mml:math id="M12" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">°</mml:mi><mml:mi mathvariant="normal">C</mml:mi></mml:mrow></mml:math></inline-formula>) and strong winds, making it the largest single wildfire recorded in the European Union since 2000 by the European Forest Fire Information System (EFFIS). Beyond its direct destruction, this event highlights the increasing likelihood of extreme wildfires under a warming Mediterranean climate and the need to understand their atmospheric consequences. Furthermore, we note that during summer seasons our study area is affected by wildfire smoke particles from the Balkan region (Papayannis et al., 2014).</p>
      <p id="d2e443">A notable feature of the 2023 wildfires season was the simultaneous presence of intense wildfire smoke aerosols and Saharan dust particles, as revealed from the analysis of MODIS data (not shown here). Thus, smoke plumes from Evros reached central and southern Greece, including the Athens basin, while dust outbreaks contributed coarse particles, creating complex mixtures of fine-mode smoke (<inline-formula><mml:math id="M13" display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M14" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.5 <inline-formula><mml:math id="M15" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>) and coarse mineral dust (Dubovik and King, 2000; Holben et al., 1998). Such episodes are particularly relevant due to their distinct optical, microphysical, which influence air quality and climate forcing (Liu et al., 2022, 2020; Masoom et al., 2023). Beyond their atmospheric effects, they also pose risks for human health and ecosystems: exposure to fine particles from wildfire smoke has been linked to respiratory and cardiovascular diseases (Chirizzi et al., 2017; Mylonaki et al., 2024), while dust-smoke mixtures may worsen health impacts and reduce agricultural productivity (Singh et al., 2022).</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Methodology and Instrumentation</title>
      <p id="d2e478">The presented data were collected during the summer campaign of the European Partnership on Metrology project BIOSPHERE (Metrology for Earth Biosphere: Cosmic rays, UV radiation and fragility of ozone shield) (Pierrard et al., 2025) which aims to develop and use novel instrumentation and methods to assess how the increasing ionization of the atmosphere affects the human and ecological health on our planet.</p>

      <fig id="F1" specific-use="star"><label>Figure 1</label><caption><p id="d2e483">Schematic overview of the instrumentation set-up used in this study. The figure illustrates the integration of multi-platform observations from the NTUA (lidar and photometer), DEM (air quality and aerosol composition), and BRFAA (Brewer spectrophotometer) stations, together with satellite observations (MODIS FIRMS), FLEXPART dispersion modelling, as well as the POLIPHON algorithm and the Regularization inversion technique, highlighting the synergistic use of active and passive remote sensing, in situ data, and modelling tools.</p></caption>
        <graphic xlink:href="https://acp.copernicus.org/articles/26/4313/2026/acp-26-4313-2026-f01.png"/>

      </fig>

      <p id="d2e492">This study focuses on transport of wildfire smoke and Saharan dust particles over Athens during 17 July–30 August 2023, with emphasis on the Evros wildfires event. A synergistic approach was employed, combining active and passive remote sensing, in situ air quality and solar UVB measurements, satellite observations, and FLEXPART modelling. Each observational component contributes in a complementary way to the overall analysis. Lidar measurements provide the vertical distribution of aerosol optical properties and through inversion, the corresponding microphysical properties can be retrieved. Sun-sky-lunar photometer and Brewer observations provide column-integrated optical and radiative characteristics, air quality and aethalometer data quantify surface-level impacts. Finally, satellite retrievals extend the spatial coverage over the wider region. FLEXPART simulations link these observations to air mass transport pathways, distinguishing between Saharan dust intrusions and wildfire plumes. This integrated approach provides a comprehensive understanding of aerosol vertical distribution, optical and microphysical properties, and radiative effects, while also allowing cross-validation among instruments. Overall, this study extends previous research on Greek wildfire episodes and highlights the atmospheric consequences of increasingly catastrophic events in a warming climate.</p>
      <p id="d2e496">The paper is structured as follows: Sect. 2 describes the instrumentation and methodology, including lidar systems, sun-sky-lunar photometric retrievals, air quality monitoring, solar irradiance measurements, satellite observations and FLEXPART simulations. Section 3 presents the results, covering event evolution, aerosol optical and microphysical properties, and their impact on both columnar and near-surface conditions. Section 4 summarizes the main conclusions of the study.</p>
      <p id="d2e499">The main observation site was the National Technical University of Athens (NTUA) (37.96° N, 23.78° E; <inline-formula><mml:math id="M16" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 212 <inline-formula><mml:math id="M17" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">a</mml:mi><mml:mo>.</mml:mo><mml:mi mathvariant="normal">s</mml:mi><mml:mo>.</mml:mo><mml:mi mathvariant="normal">l</mml:mi><mml:mo>.</mml:mo></mml:mrow></mml:math></inline-formula>), where two lidar systems, a Raman lidar and a depolarization lidar, along with a CIMEL sun-sky-lunar photometer were operated. Additionally, aerosol and air quality measurements were obtained at the Demokritos station (DEM) (37.99° N, 23.81° E <inline-formula><mml:math id="M18" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 270 <inline-formula><mml:math id="M19" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">a</mml:mi><mml:mo>.</mml:mo><mml:mi mathvariant="normal">s</mml:mi><mml:mo>.</mml:mo><mml:mi mathvariant="normal">l</mml:mi><mml:mo>.</mml:mo></mml:mrow></mml:math></inline-formula>), which provided data from an aethalometer, a Time-of-Flight Aerosol Chemical Speciation Monitor (ToF-ACSM, Aerodyne Research Inc., USA) for monitoring aerosol chemical composition, as well as 1 <inline-formula><mml:math id="M20" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">h</mml:mi></mml:mrow></mml:math></inline-formula> data of <inline-formula><mml:math id="M21" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M22" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> concentrations. At the Biomedical Research Foundation of the Academy of Athens (BRFAA) (37.99° N, 23.78° E; <inline-formula><mml:math id="M23" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 180 <inline-formula><mml:math id="M24" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">a</mml:mi><mml:mo>.</mml:mo><mml:mi mathvariant="normal">s</mml:mi><mml:mo>.</mml:mo><mml:mi mathvariant="normal">l</mml:mi><mml:mo>.</mml:mo></mml:mrow></mml:math></inline-formula>), a Brewer spectrophotometer contributed measurements of UVB radiation and aerosol optical depth. To support the analysis of wildfire impacts and atmospheric transport, FLEXPART dispersion modelling and wildfire detections from MODIS (FIRMS) satellite imagery data were also used. Figure 1 provides an overview of all instruments, modelling tools, and algorithms used in this study.</p>
<sec id="Ch1.S2.SS1">
  <label>2.1</label><title>Lidar systems</title>
      <p id="d2e624">Two lidar systems were used to retrieve aerosol optical properties: the DEPOLarization lidar systEm (DEPOLE) and the elastic-Raman lidar system aErosol and Ozone Lidar system (EOLE). DEPOLE is based on a pulsed Nd: YAG laser emitting at 355 and 532 <inline-formula><mml:math id="M25" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> with linear polarization purity more than 99.5 %, achieved using a polarizing filter. The elastically backscattered lidar signals are collected at both wavelengths by a 200 <inline-formula><mml:math id="M26" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula> diameter Dall–Kirkham (<inline-formula><mml:math id="M27" display="inline"><mml:mrow><mml:mi>f</mml:mi><mml:mo>/</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula>) Cassegrainian telescope and are separated into parallel and cross-polarization components using polarizing beam splitter cubes. DEPOLE achieves full overlap at approximately 500 <inline-formula><mml:math id="M28" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">a</mml:mi><mml:mo>.</mml:mo><mml:mi mathvariant="normal">s</mml:mi><mml:mo>.</mml:mo><mml:mi mathvariant="normal">l</mml:mi><mml:mo>.</mml:mo></mml:mrow></mml:math></inline-formula> (Papayannis et al., 2020). DEPOLE provides vertical profiles of the aerosol elastic backscatter coefficient and volume and particle linear depolarization ratios VLDR and PLDR, respectively, at 355 and 532 <inline-formula><mml:math id="M29" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>, as well as the aerosol Ångström exponent between these two wavelengths (<inline-formula><mml:math id="M30" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">AE</mml:mi><mml:mrow><mml:mn mathvariant="normal">355</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">532</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula>).</p>
      <p id="d2e701">The EOLE lidar system is based on a pulsed Nd: YAG laser emitting simultaneously at 355, 532, and 1064 <inline-formula><mml:math id="M31" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>. The receiving unit includes a 300 <inline-formula><mml:math id="M32" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula> diameter (<inline-formula><mml:math id="M33" display="inline"><mml:mrow><mml:mi>f</mml:mi><mml:mo>/</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula>) Cassegrainian telescope, which collects both the elastically backscattered signals and the vibrational-rotational Raman signals generated by atmospheric <inline-formula><mml:math id="M34" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">N</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> at 387 and 607 <inline-formula><mml:math id="M35" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>, and <inline-formula><mml:math id="M36" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">H</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub><mml:mi mathvariant="normal">O</mml:mi></mml:mrow></mml:math></inline-formula> at 407 <inline-formula><mml:math id="M37" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>. EOLE provides vertical profiles of the aerosol backscatter coefficients at 355, 532, and 1064 <inline-formula><mml:math id="M38" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>, and extinction coefficients at 355 and 532 <inline-formula><mml:math id="M39" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>, as well as the water vapor mixing ratio in the troposphere. Additionally, EOLE provides vertical profiles of intensive aerosol parameters, including the lidar ratio (LR) at 355 and 532 <inline-formula><mml:math id="M40" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>, and aerosol Ångström exponents derived from extinction (<inline-formula><mml:math id="M41" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">AE</mml:mi><mml:mrow><mml:mi mathvariant="normal">e</mml:mi><mml:mn mathvariant="normal">355</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">532</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula>) and backscatter (<inline-formula><mml:math id="M42" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">AE</mml:mi><mml:mrow><mml:mi mathvariant="normal">b</mml:mi><mml:mn mathvariant="normal">355</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">532</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M43" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">AE</mml:mi><mml:mrow><mml:mi mathvariant="normal">b</mml:mi><mml:mn mathvariant="normal">532</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">1064</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula>) coefficients. The system reaches full overlap at approximately 800 <inline-formula><mml:math id="M44" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:mi mathvariant="normal">a</mml:mi><mml:mo>.</mml:mo><mml:mi mathvariant="normal">s</mml:mi><mml:mo>.</mml:mo><mml:mi mathvariant="normal">l</mml:mi><mml:mo>.</mml:mo></mml:mrow></mml:math></inline-formula> Based on these observations and using well-known methodologies, we can separate the lidar signals between aerosols and clouds, spherical and non-spherical particles in mixed aerosol layers (Ansmann et al., 2012, 2019; Tesche et al., 2009).</p>
      <p id="d2e873">Both lidar systems were used in combination, with EOLE providing Raman-derived extinction profiles and DEPOLE contributing depolarization measurements. This combined use allowed the application of the POLIPHON algorithm, which utilizes extinction (Raman) and depolarization data at 532 <inline-formula><mml:math id="M45" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> to separate fine and coarse particle contributions and to estimate aerosol mass concentrations (see Sect. 2.6.4).</p>
</sec>
<sec id="Ch1.S2.SS2">
  <label>2.2</label><title>CIMEL sun-sky-lunar photometer data</title>
      <p id="d2e892">Sun-sky-lunar photometric measurements are continuously conducted at NTUA, using a CE318-T sun-sky-lunar photometer, part of the Aerosol Robotic Network (AERONET) and operated by the Laser Remote Sensing Unit (LRSU). The instrument performs automated observations of direct solar irradiance and sky radiance in both the almucantar and principal plane, typically every 15 and 30 <inline-formula><mml:math id="M46" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">min</mml:mi></mml:mrow></mml:math></inline-formula>, respectively, across multiple spectral channels (including 340, 380, 440, 500, 670, 870, 940, and 1020 <inline-formula><mml:math id="M47" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>). The instrument performs also nighttime measurements using lunar irradiance. In this study, we used Level 2.0 (cloud-screened and quality-assured) AERONET Version 3 retrievals, including aerosol optical depth (AOD), Ångström exponent (AE), single-scattering albedo (SSA), fine/coarse AOD, and aerosol volume size distributions (VSD), to characterize the optical and microphysical columnar properties of aerosols over Athens. Lunar AOD data were additionally used to extend the temporal coverage during night periods with elevated aerosol presence. For days with extreme smoke loads (e.g., 24 and 27 August 2023), Level 1.0 data were used for direct sun products due to the automatic cloud-screening algorithm discarding valid data as cloudy under the high temporal variability of wildfire plumes. Correspondingly, Level 1.5 inversion products (SSA, VSD) were used on these days, while Level 2.0 products were used otherwise.</p>
</sec>
<sec id="Ch1.S2.SS3">
  <label>2.3</label><title>Air Quality data</title>
      <p id="d2e919">In addition to column-integrated optical and microphysical properties, in situ aerosol measurements were also used to better characterize the smoke plume's chemical and optical properties. The aerosol absorption coefficient was obtained using an aethalometer (AE33, Magee Scientific, USA), operating at seven wavelengths (370, 470, 520, 590, 660, 880, and 950 <inline-formula><mml:math id="M48" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>). The mass concentration of equivalent black carbon (eBC) was calculated based on the Mass Absorption Coefficient (MAC) values provided by the instrument manufacturer. The AE33 sampled through a <inline-formula><mml:math id="M49" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> inlet at 880 <inline-formula><mml:math id="M50" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> with a 1 <inline-formula><mml:math id="M51" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">min</mml:mi></mml:mrow></mml:math></inline-formula> resolution, and the obtained measurements were subsequently averaged to hourly values (Diapouli et al., 2017; Stathopoulos et al., 2021). The measured eBC was divided into two fractions (Biomass Burning and Fossil Fuel) using the model proposed by Sandradewi et al. (2008). Furthermore, the non-refractory chemical composition of fine aerosols, including organics, sulfate (<inline-formula><mml:math id="M52" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">SO</mml:mi><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>), nitrate (<inline-formula><mml:math id="M53" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>), ammonium (<inline-formula><mml:math id="M54" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">NH</mml:mi><mml:mn mathvariant="normal">4</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>), and chloride (<inline-formula><mml:math id="M55" display="inline"><mml:mrow class="chem"><mml:msup><mml:mi mathvariant="normal">Cl</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) was monitored using a time-of-flight aerosol chemical8 speciation monitor (ToF-ACSM, Aerodyne Research Inc., USA) with a time resolution of 15 <inline-formula><mml:math id="M56" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">min</mml:mi></mml:mrow></mml:math></inline-formula> (Fröhlich et al., 2015; Zografou et al., 2022). <inline-formula><mml:math id="M57" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M58" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> hourly mass concentrations were also obtained by the use of a Laser Aerosol Spectrometer (LAS) 3340A (TSI Inc., USA), coupled with gravimetric analysis of 24 <inline-formula><mml:math id="M59" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">h</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M60" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M61" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> samples collected on Teflon filters by the use of reference low volume samplers (<inline-formula><mml:math id="M62" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mrow><mml:mn mathvariant="normal">10</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">2.5</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> SEQ 47/50-CD with Peltier cooler, Sven Leckel GmbH, Germany), according to EN12341. LAS provides the aerosol number concentration at different sizes, up to 10 <inline-formula><mml:math id="M63" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>. Hourly averages of the number concentrations were converted to volume concentrations. <inline-formula><mml:math id="M64" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M65" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> mass concentrations on an hourly basis were then calculated by integrating the volume concentrations over the respective size range and converting to mass through comparison with the 24 <inline-formula><mml:math id="M66" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">h</mml:mi></mml:mrow></mml:math></inline-formula> average <inline-formula><mml:math id="M67" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M68" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> concentrations obtained gravimetrically.</p>
</sec>
<sec id="Ch1.S2.SS4">
  <label>2.4</label><title>Brewer spectrophotometer data</title>
      <p id="d2e1162">In this study, we analysed UV radiation measurements (315–325 <inline-formula><mml:math id="M69" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>) for the period 16 July–30 August 2023 obtained by a Brewer MKIV spectrophotometer operating daily at the Biomedical Research Foundation of the Academy of Athens (BRFAA; 37.99° N, 23.78° E; 180 <inline-formula><mml:math id="M70" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="normal">a</mml:mi><mml:mo>.</mml:mo><mml:mi mathvariant="normal">s</mml:mi><mml:mo>.</mml:mo><mml:mi mathvariant="normal">l</mml:mi><mml:mo>.</mml:mo></mml:mrow></mml:math></inline-formula>). The institute is located in a green area, approximately 4 <inline-formula><mml:math id="M71" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> away from the city center (Eleftheratos et al., 2021) and the NTUA site. The instrument is calibrated on a biennial basis by International Ozone Services Inc., Toronto, Ontario, Canada (<uri>http://www.io3.ca</uri>, last access: 12 July 2025). The last two calibrations took place in Athens, Greece in 2023 and in El Arenosillo, Spain in 2025. Additionally, every two months, UV spectra from the Brewer are calibrated using a set of three 200 <inline-formula><mml:math id="M72" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">W</mml:mi></mml:mrow></mml:math></inline-formula> lamps that are traceable to the National Institute of Standards and Technology (<uri>https://www.nist.gov</uri>, last access: 25 August 2025). The spectra used in this study have been quality controlled and assured as described in Masoom et al. (2023).</p>
      <p id="d2e1217">The 315–325 <inline-formula><mml:math id="M73" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> wavelength range has been chosen because at these wavelengths, for relatively high aerosol loads (e.g., during wildfire or dust events), the effect of aerosols is dominant over the effect of ozone. For shorter wavelengths (<inline-formula><mml:math id="M74" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 315 <inline-formula><mml:math id="M75" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>) variations and uncertainties in total ozone induce higher uncertainties regarding the quantification of the impact of aerosols. We consider that the impact of aerosols at these wavelengths is representative for their impact on UV-B (290–315 <inline-formula><mml:math id="M76" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> integral). Hereinafter, the 320 <inline-formula><mml:math id="M77" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> irradiance is referred to as UV-B irradiance.</p>
      <p id="d2e1259">The impact of aerosols on the 290–315 <inline-formula><mml:math id="M78" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> integral could be masked, at least partially (Fountoulakis et al., 2016, 2019), by the effect of ozone, and this is why we choose to show the results for the 320 <inline-formula><mml:math id="M79" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> irradiance. Given that most of the attenuation by ozone takes place in the stratosphere while interaction of the UV-B radiation with aerosols happens at the lowest 2–3 <inline-formula><mml:math id="M80" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> in the troposphere, complex interactions between UV-B, aerosols and ozone under heavy aerosol load are not expected to impact the variability in UV-B, at least significantly. Differences between the variability (caused by aerosols) in the 320 <inline-formula><mml:math id="M81" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> irradiance and the 290–315 <inline-formula><mml:math id="M82" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> integral are expected to be mostly due to the corresponding differences in aerosol optical properties (AOD, SSA), which would introduce a slightly larger variability for shorter wavelengths. The differences, however, are estimated to be small, within the uncertainty limits in the UV measurements.</p>
      <p id="d2e1302">The AOD data from the Brewer have been retrieved at selected wavelengths used to measure columnar ozone (306.3, 310.1, 313.5, 316.8, 320.1 <inline-formula><mml:math id="M83" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>) according to the methodology described in López-Solano et al. (2018) (López-Solano et al., 2018). Comparison with the AOD at 340 <inline-formula><mml:math id="M84" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> from the CIMEL (extrapolated to the desired wavelengths using the 340–440 <inline-formula><mml:math id="M85" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> AE) for the period 2023–2025 revealed an average agreement better than 0.05 with a standard deviation ranging between <inline-formula><mml:math id="M86" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.05 (for 320. 1 <inline-formula><mml:math id="M87" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>) and <inline-formula><mml:math id="M88" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.1 (for 306.3 <inline-formula><mml:math id="M89" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>) (Fig. S1 in the Supplement).</p>
      <p id="d2e1361">For the case studies, the differences between the 320 <inline-formula><mml:math id="M90" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> AOD retrieved from the Brewer and the extrapolated AOD (from 340 to 320 <inline-formula><mml:math id="M91" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> using the Ångström exponent) derived from the CIMEL are generally smaller for the dust case (0.02–0.05) compared to the smoke case (0.05–0.08). Nevertheless, a more comprehensive analysis is required to determine whether these differences reflect limitations of the Ångström approximation in capturing the spectral curvature of AOD at short wavelengths or arise from the overall uncertainty of the AOD retrievals.</p>
</sec>
<sec id="Ch1.S2.SS5">
  <label>2.5</label><title>Satellite data</title>
      <p id="d2e1389">Active fire data during the study period were obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) instruments aboard the Terra and Aqua satellites (Giglio et al., 2016). These data were accessed via the Fire Information for Resource Management System (FIRMS) platform (<uri>https://firms.modaps.eosdis.nasa.gov/map</uri>, last access; 15 December 2025). To ensure high confidence in the identification of active fire locations, only detections with a confidence level greater than 80 % were considered. This threshold was chosen to identify regions affected by biomass-burning emissions and to confirm that the air masses reaching Athens passed over fire-affected areas enriched with smoke aerosols (Justice et al., 2002; Vadrevu and Lasko, 2018).</p>
</sec>
<sec id="Ch1.S2.SS6">
  <label>2.6</label><title>Modelling and algorithms</title>
<sec id="Ch1.S2.SS6.SSS1">
  <label>2.6.1</label><title>Microphysical Aerosol Properties</title>
      <p id="d2e1410">Aerosol microphysical properties within dust and/or biomass-burning layers were retrieved using the regularization inversion technique (Müller et al., 1999), based on lidar profiles of extinction (355–532 <inline-formula><mml:math id="M92" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>), backscatter (355, 532, 1064 <inline-formula><mml:math id="M93" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>), and depolarization (355, 532 <inline-formula><mml:math id="M94" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>). This 3b <inline-formula><mml:math id="M95" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> 2e <inline-formula><mml:math id="M96" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> 2<inline-formula><mml:math id="M97" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula> configuration combines Raman lidar backscatter and extinction data from EOLE (3b <inline-formula><mml:math id="M98" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> 2e) with depolarization measurements (2<inline-formula><mml:math id="M99" display="inline"><mml:mi mathvariant="italic">δ</mml:mi></mml:math></inline-formula>) from DEPOLE, providing enhanced sensitivity to particle shape and composition. The inversion provided the effective radius (<inline-formula><mml:math id="M100" display="inline"><mml:mrow><mml:msub><mml:mi>R</mml:mi><mml:mtext>eff</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>), number concentration (<inline-formula><mml:math id="M101" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula>), surface area+(<inline-formula><mml:math id="M102" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula>), volume (<inline-formula><mml:math id="M103" display="inline"><mml:mi>V</mml:mi></mml:math></inline-formula>), and the real (mR) and imaginary (mI) parts of the refractive index. The refractive index was assumed constant across the 355–1064 <inline-formula><mml:math id="M104" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> range and averaged over particle size. Particles were considered as spheres (PLDR <inline-formula><mml:math id="M105" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 10 %) or spheroids (PLDR <inline-formula><mml:math id="M106" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 10 %). Uncertainties are estimated at <inline-formula><mml:math id="M107" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.05 for mR, <inline-formula><mml:math id="M108" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 50 % for mI and <inline-formula><mml:math id="M109" display="inline"><mml:mi>N</mml:mi></mml:math></inline-formula>, and below 20 % for <inline-formula><mml:math id="M110" display="inline"><mml:mrow><mml:msub><mml:mi>R</mml:mi><mml:mtext>eff</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M111" display="inline"><mml:mi>S</mml:mi></mml:math></inline-formula>, and <inline-formula><mml:math id="M112" display="inline"><mml:mi>V</mml:mi></mml:math></inline-formula> (Müller et al., 2005).</p>
</sec>
<sec id="Ch1.S2.SS6.SSS2">
  <label>2.6.2</label><title>Spectral surface solar radiation</title>
      <p id="d2e1583">To quantify the impact of aerosols on UV-B irradiance, a comparison between measured and modelled irradiances has been performed. Since the irradiance at wavelengths that are shorter than <inline-formula><mml:math id="M113" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 315 <inline-formula><mml:math id="M114" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> is affected strongly by variations in total ozone (and the corresponding uncertainties in the used total ozone values), we focused on the irradiance at 320 <inline-formula><mml:math id="M115" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> (315–325 <inline-formula><mml:math id="M116" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> average). Radiative transfer simulations were performed using the disort (DIScrete Ordinate Radiative Transfer) pseudo-spherical approximation (Buras et al., 2011) of the UVSPEC radiative transfer model that is included in the libRadtran v2.0.6 package (Emde et al., 2016). The simulations were performed for the coordinates of the BRFAA, for the exact time of the measurements, using the columnar ozone measured by the Brewer as input. Two sets of simulations were performed: (i) simulations assuming cloud-free and aerosol-free skies, and (ii) simulations assuming cloud-free skies, for the measured AOD at 320 <inline-formula><mml:math id="M117" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>, and for various SSA values (0.6–1 with a step of 0.02). The former simulations were compared to the measured irradiances to quantify the overall aerosol effect. The latter were also compared to the measured irradiances, this time to estimate the SSA at 320 <inline-formula><mml:math id="M118" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> as described in Bais et al. (2005).</p>
      <p id="d2e1634">Climatological profiles of atmospheric molecules corresponding to mid-latitude summer (Anderson et al., 1986) and the extraterrestrial spectrum proposed by Kurucz (1994) were used for all simulations. More detailed discussion for the UV-B modelling and the conditions that ensure the comparability between the measured and modelled irradiances can be found in Masoom et al. (2023).</p>
</sec>
<sec id="Ch1.S2.SS6.SSS3">
  <label>2.6.3</label><title>FLEXPART modelling</title>
      <p id="d2e1645">To identify aerosol sources in the case studies (Sect. 3), we used the FLEXPART v10.4 Lagrangian model (Pisso et al., 2019; Stohl et al., 1998), driven by ECMWF ERA5 data (Hersbach et al., 2020) (0.5° resolution, hourly, 137 vertical levels). Backward simulations (”retroplume” mode) released particles from 0–4000 <inline-formula><mml:math id="M119" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> at NTUA and tracked them 30 <inline-formula><mml:math id="M120" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">d</mml:mi></mml:mrow></mml:math></inline-formula> back, covering typical lifetimes of BC and dust (<inline-formula><mml:math id="M121" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 1 week). FLEXPART computed source-receptor matrices (footprints), which, when combined with emission inventories, indicate the contribution of each source region. The model accounts for gravitational settling, dry/wet deposition, turbulence, and deep convection, offering a more complete representation than simple trajectories. Anthropogenic BC sources were derived from the ECLIPSEv6 inventory (Klimont et al., 2017) (e.g., transport, industry, domestic combustion), while biomass burning used GFEDv4 (Giglio et al., 2013). Dust emissions were estimated with FLEXDUST (Groot Zwaaftink et al., 2022), using ECMWF data at 0.25° resolution and including particles from 0.2 to 20 <inline-formula><mml:math id="M122" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>. FLEXPART has been widely applied for BC and dust transport modelling and source appointment in various regions, in particular over Europe (Evangeliou et al., 2021; Gidarakou et al., 2024; Groot Zwaaftink et al., 2022). In our case, most lidar-retrieved aerosol layers were located below 4 <inline-formula><mml:math id="M123" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>, thus, well represented by the 0–4000 <inline-formula><mml:math id="M124" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> release range. For a few events where layers extended up to 5 <inline-formula><mml:math id="M125" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>, sensitivity tests using an extended 4000–5000 <inline-formula><mml:math id="M126" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> release showed negligible differences in the source–receptor patterns, confirming that the chosen configuration adequately captures the observed aerosol transport.</p>
</sec>
<sec id="Ch1.S2.SS6.SSS4">
  <label>2.6.4</label><title>Aerosol Mass Concentration</title>
      <p id="d2e1722">Aerosol mass concentration profiles for dust and non-dust components were estimated using the POLIPHON algorithm (Ansmann et al., 2012; Mamouri and Ansmann, 2014; Tesche et al., 2009), which combines depolarization lidar and sun photometer data. Depolarization lidar distinguishes dust from non-dust aerosols from aerosol backscatter and depolarization profiles, while sun photometry provides fine/coarse-mode AODs and microphysical properties (volume and surface area). Mass concentrations were calculated using aerosol-specific properties like PLDR, lidar ratio, density, and volume-to-AOD ratios. To this end we used a coarse-mode density of 2.6 <inline-formula><mml:math id="M127" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (dust) (Hess et al., 1998; Proestakis et al., 2024) and a fine-mode density of 1.35 <inline-formula><mml:math id="M128" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">cm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (smoke) (Engelhart et al., 2012; Reid et al., 2005). The method remains effective even when lidar and photometer data are not strictly collocated, especially for stable dust events. Total uncertainty in retrieved mass concentrations is <inline-formula><mml:math id="M129" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 36 %–40 % and assumed mass densities (<inline-formula><mml:math id="M130" display="inline"><mml:mo lspace="0mm">±</mml:mo></mml:math></inline-formula> 20 %). Volume-to-AOD ratios may vary by up to 10 % for dust and 20 % for smoke (Ansmann et al., 2012, 2019). In our case, the lidar and the sun–sky photometer are collocated on the same building, ensuring consistent column and profile measurements and minimizing spatial mismatch. Therefore, the reported total uncertainty (<inline-formula><mml:math id="M131" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 36 %–40 %) primarily reflects the combined variability in assumed aerosol properties and retrieval parameters rather than site separation effects.</p>

      <fig id="F2" specific-use="star"><label>Figure 2</label><caption><p id="d2e1782"><bold>(a)</bold> Map of Greece illustrating wildfires detected by Aqua MODIS NASA Satellite imagery from 17 July to 31 August 2023 and satellite image showing wildfires over Greece <bold>(b)</bold> afternoon 18 July 2023 and <bold>(c)</bold> afternoon 22 August 2023  – data from Aqua MODIS, NASA.</p></caption>
            <graphic xlink:href="https://acp.copernicus.org/articles/26/4313/2026/acp-26-4313-2026-f02.jpg"/>

          </fig>

</sec>
</sec>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Results</title>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Description of the wildfire/dust events (17 July–31 August 2023)</title>
      <p id="d2e1816">Between 17 July and 31 August 2023, Greece experienced one of its most severe wildfire seasons in recent decades, with extensive fires affecting both the mainland and several islands. Major wildfire activity was recorded in regions such as Evros, Rodopi, Attica, Central Greece, the Peloponnese, and islands like Rhodes, Corfu, and Evia (Fig. 2a). According to EFFIS, approximately 170 000 <inline-formula><mml:math id="M132" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">ha</mml:mi></mml:mrow></mml:math></inline-formula> were burned during this period (Wildfires: 2023 among the worst in the EU in this century – The Joint Research Centre: EU Science Hub, 2026). The most catastrophic event occurred in Evros region, northeastern Greece, where a wildfire that began on 19 August was further intensified by strong northeasterly winds and ultimately burned over 93 000 <inline-formula><mml:math id="M133" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">ha</mml:mi></mml:mrow></mml:math></inline-formula>, surpassing the previous national record, and becoming the largest wildfire ever recorded in the European Union since 2000 (OBSERVER: Global Wildfire Watch: Copernicus EMS and CAMS Monitor Wildfires in 2023 <inline-formula><mml:math id="M134" display="inline"><mml:mi mathvariant="normal">|</mml:mi></mml:math></inline-formula> Copernicus, 2026). The Copernicus Atmosphere Monitoring Service (CAMS) reported that Greece's wildfire emissions in July 2023 reached record-breaking levels, with over 1 <inline-formula><mml:math id="M135" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">Mt</mml:mi></mml:mrow></mml:math></inline-formula> of carbon released by 25 July, nearly twice the previous record from 2007. These emissions coincided with an intense heatwave, characterized by temperatures exceeding 40° C and prolonged drought, which created ideal conditions for wildfire ignition and spread.</p>
      <p id="d2e1850">On 18 July, the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard NASA's Aqua satellite captured a true-color image of active burning fires near Athens, with a thick gray smoke plume being transported southwestward by strong winds (Fig. 2b). This event marked the onset of significant biomass-burning influence over Athens.</p>
      <p id="d2e1853">Smoke plumes from these fires were transported across the Aegean Sea and Athens, reaching altitudes up to <inline-formula><mml:math id="M136" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 6 <inline-formula><mml:math id="M137" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>. The elevated aerosol layers observed over Athens during this period resulted from both fine-mode biomass burning (BB) particles and coarse-mode Saharan dust intrusions.</p>
      <p id="d2e1871">FLEXPART simulations and MODIS fire detection data provided clear evidence of the origin and evolution of these intrusions. Between 20 and 25 July, air masses arriving over Athens originated from North Africa, including Morocco, Tunisia, and northern Algeria, merging over the central Mediterranean before reaching Greece. Consequently, aerosols over Athens during this period were a mixture of smoke, marine aerosols, and mineral dust, primarily below 6 <inline-formula><mml:math id="M138" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> height.</p>
      <p id="d2e1883">From 21 to 29 August, the aerosol load over Athens was dominated by intense smoke conditions with minimal dust influence. More precisely on 22 August, MODIS imagery once again revealed a dense smoke plume originating from large fires in Northern Greece, visibly extending southward toward Athens, emphasizing the persistence of biomass-burning influence (Fig. 2c).</p>
      <p id="d2e1886">These observations were supported by multi-instrument aerosol characterization, including multiwavelength Raman and depolarization lidars, sun-sky-lunar photometer measurements, and in situ observations of black carbon (BC), elemental black carbon (eBC), <inline-formula><mml:math id="M139" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M140" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, aerosol chemical composition, and UVB radiation data.</p>
      <p id="d2e1911">Synoptic meteorological conditions marked by extreme heat, low relative humidity, and persistent northeasterly winds, not only facilitated the spread of fires but also supported the transport of smoke and dust. In some cases, pyrocumulonimbus clouds further enhanced vertical and horizontal dispersion of aerosols. The combined influence of wildfire smoke and Saharan dust led to exceptionally high aerosol loads over Athens, with significant implications for air quality, and public health. These events highlight the critical need for continuous, multi-instrument aerosol monitoring to assess the impacts of extreme atmospheric events.</p>

      <fig id="F3" specific-use="star"><label>Figure 3</label><caption><p id="d2e1916">Time-series of hourly averaged values of <bold>(a)</bold> AOD for various wavelengths (340–1020 <inline-formula><mml:math id="M141" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>) and AE at 440/870 <inline-formula><mml:math id="M142" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> obtained by the CIMEL sun-sky-lunar photometer and AOD at 320 <inline-formula><mml:math id="M143" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> obtained by the Brewer spectrophotometer <bold>(b)</bold> AOD and AE at 500 <inline-formula><mml:math id="M144" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> along with the Fine Mode Fraction (FMF) obtained by the CIMEL sun-sky-lunar photometer <bold>(c)</bold> mass concentration of various chemical composition (Org, <inline-formula><mml:math id="M145" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">NH</mml:mi><mml:mn mathvariant="normal">4</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M146" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">Cl</mml:mi></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M147" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>) obtained by ToF – ACSM <bold>(d)</bold> 1 <inline-formula><mml:math id="M148" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">h</mml:mi></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M149" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M150" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> concentration <bold>(e)</bold> eBC concentration and BB contribution obtained by the aethalometer.</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/26/4313/2026/acp-26-4313-2026-f03.png"/>

        </fig>

      <p id="d2e2038">In summary, the combined influence of biomass-burning aerosols and Saharan dust led to exceptionally high aerosol loads over Athens during several episodes in July and August 2023, with serious implications for air quality, radiative forcing, and public health (Mylonaki et al., 2024). These extreme events underscore the critical need for continuous, multi-instrument atmospheric monitoring to assess the evolving impacts of climate-driven hazards on regional air quality.</p>
</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Impact on air quality and columnar aerosol properties</title>
      <p id="d2e2049">Figure 3 presents the temporal evolution of aerosol optical properties (Fig. 3a and b) and chemical composition (Fig. 3c–e) over Athens from 17 July to 31 August, encompassing a period of intense atmospheric perturbations related to regional wildfires and long-range dust transport from Sahara. Figure 3a presents the AOD from the CIMEL sun-sky-lunar photometer (1020–340 <inline-formula><mml:math id="M151" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> range), alongside the AE calculated from the 440/870 <inline-formula><mml:math id="M152" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> pair. Throughout the observation period, AOD values reveal moderate to high aerosol loads, with pronounced peaks occurring in late August. AE values mostly remain above 1, indicating a dominant contribution from fine-mode particles, particularly during the high-AOD events observed between 21 and 30 August, during the wildfires that took place in the Evros region. The combination of elevated AOD at shorter wavelengths and enhanced AE suggests the presence of absorbing, fine-mode aerosols, likely associated with smoke from the widespread wildfires that affected mainland Greece and surrounding regions during this time. These findings align with previous observations of increased fine-mode AOD and AE during summer wildfire outbreaks in Greece (Kazadzis et al., 2007; Masoom et al., 2023; Michailidis et al., 2024; Raptis et al., 2020).</p>
      <p id="d2e2068">Figure 3b presents the temporal evolution of total, fine-mode, and coarse-mode AOD at 500 <inline-formula><mml:math id="M153" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>, alongside the Fine Mode Fraction (FMF), which quantifies the dominance of submicron aerosol particles. The FMF varied substantially throughout the study period (17 July–31 August), reflecting the changing nature and sources of aerosols over Athens. From 17 to 19 July, FMF ranged between 0.69 and 0.93, suggesting the predominance of fine-mode particles, potentially influenced by regional pollution or transported smoke. A notable shift occurred between 20 and 26 July, when FMF dropped significantly (0.37–0.73), reaching values as low as <inline-formula><mml:math id="M154" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.2–0.4 on 23 and 25 July. This indicates a stronger contribution from coarse-mode aerosols, consistent with dust intrusion events, which are frequent over Greece during summer (Masoom et al., 2023).</p>
      <p id="d2e2086">In the period from 26 July to 5 August, the FMF increased again to values around 0.75, indicating the fine- mode dominance once again. A brief decline on 6 August (FMF <inline-formula><mml:math id="M155" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.5) was followed by a more stable period from 7 to 22 August, where FMF fluctuated between 0.47 and 0.96, with a mean around 0.7. This pattern likely reflects a mix of background aerosols and contributions from regional BB. A pronounced shift occurred between 23 and 26 August, when FMF exceeded 0.9, peaking on 24 August. This peak coincides with the major wildfire event in the Evros region, one of the most intense fire episodes of the summer in Greece, strongly impacting the aerosol load over Athens with freshly emitted fine particles.</p>
      <p id="d2e2096">The consistently high FMF values during the latter part of August, together with the concurrent rise in fine and total AOD, indicate a substantial contribution from wildfire smoke. Similar aerosol signatures have been reported in earlier fire-affected episodes in Greece and the eastern Mediterranean, where increased FMF and AE values are linked to enhanced black carbon, organic aerosols, and secondary fine particles (Kaskaoutis et al., 2021; Liakakou et al., 2020; Paraskevopoulou et al., 2014). In contrast, the relatively limited coarse-mode AOD throughout most of August suggests a negligible impact from Saharan dust during this period.</p>
      <p id="d2e2100">Figure 3c presents the mass concentrations of selected non-refractory <inline-formula><mml:math id="M156" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> chemical species, organics (Org), ammonium (<inline-formula><mml:math id="M157" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">NH</mml:mi><mml:mn mathvariant="normal">4</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>), sulfate (<inline-formula><mml:math id="M158" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">SO</mml:mi><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>), and nitrate (<inline-formula><mml:math id="M159" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula>) measured by the ToF-ACSM during August 2023. Organic aerosols clearly dominate the chemical composition, with a mean concentration of 5.45 <inline-formula><mml:math id="M160" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, ranging from 1.32 to 22.77 <inline-formula><mml:math id="M161" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. The highest organic levels were recorded between 22 and 26 August, peaking on 22 August, in accordance with the intense wildfires in northeastern Greece. These elevated concentrations highlighting the major influence of biomass burning – fine-mode aerosol loading over Athens during this period. <inline-formula><mml:math id="M162" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">SO</mml:mi><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> displayed a more stable background behaviour, with a mean of 2.23 <inline-formula><mml:math id="M163" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (range: 0.50–5.56 <inline-formula><mml:math id="M164" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>), showing moderate increases during selected episodes, likely linked to regional transport and secondary aerosol formation processes. On the other hand, <inline-formula><mml:math id="M165" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">NO</mml:mi><mml:mn mathvariant="normal">3</mml:mn><mml:mo>-</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> concentrations remained relatively low and variable, averaging 0.89 <inline-formula><mml:math id="M166" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (range: 0.16–2.34 <inline-formula><mml:math id="M167" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>), consistent with its volatility and the typically high temperatures in Athens during summer that limit its partitioning to the particle phase (Zografou et al., 2022). <inline-formula><mml:math id="M168" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">NH</mml:mi><mml:mn mathvariant="normal">4</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> also exhibited low concentrations (mean: 0.33 <inline-formula><mml:math id="M169" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, range: 0.09–2.22 <inline-formula><mml:math id="M170" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) and followed similar temporal trends to <inline-formula><mml:math id="M171" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">SO</mml:mi><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula>, supporting the likely presence of ammonium sulfate or ammonium nitrate components during secondary formation episodes. These observations highlight the dominant role of organic aerosols during fire events, while secondary inorganic species such as <inline-formula><mml:math id="M172" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">SO</mml:mi><mml:mn mathvariant="normal">4</mml:mn><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>-</mml:mo></mml:mrow></mml:msubsup></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M173" display="inline"><mml:mrow class="chem"><mml:msubsup><mml:mi mathvariant="normal">NH</mml:mi><mml:mn mathvariant="normal">4</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:mrow></mml:math></inline-formula> contributed more steadily to the <inline-formula><mml:math id="M174" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">1</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> composition throughout August.</p>
      <p id="d2e2409">Figure 3d presents the hourly mean concentrations of <inline-formula><mml:math id="M175" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M176" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, obtained from real-time optical measurements together with gravimetric analysis of PM filter samples during July and August 2023. The average concentrations were 10.37 <inline-formula><mml:math id="M177" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> for <inline-formula><mml:math id="M178" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and 22.76 <inline-formula><mml:math id="M179" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> for <inline-formula><mml:math id="M180" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>, with values ranging from 2.50 to 49.41 <inline-formula><mml:math id="M181" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> and 6.07 to 94.60 <inline-formula><mml:math id="M182" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, respectively. Elevated <inline-formula><mml:math id="M183" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> concentrations were evident during 18–22 July (orange shading) and 22–26 August (green shading), coinciding with periods of enhanced AOD (Fig. 3a and b) and changes in aerosol size/composition, thus, reflecting significant aerosol loading events. During 18–22 July, the <inline-formula><mml:math id="M184" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M185" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M186" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> ratio remained around 0.5, suggesting a mixture of fine smoke particles and coarse dust. In late August, the ratio increased to 0.6–0.7, peaking at 0.7 on 22 August, consistent with the dominance of biomass burning particles. The concurrent increase of <inline-formula><mml:math id="M187" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> concentrations also points to contributions from coarse particles, likely resuspended dust, or aged smoke plumes.</p>

      <fig id="F4" specific-use="star"><label>Figure 4</label><caption><p id="d2e2587">Footprint emission sensitivities for BC calculated using FLEXPART for air masses arriving in Athens between 0.5 and 4.0 <inline-formula><mml:math id="M188" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> from 18 to 21 July 2023 (12:00 to 18:00 UTC).</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/26/4313/2026/acp-26-4313-2026-f04.png"/>

        </fig>

      <p id="d2e2604">To further quantify the relationship between particulate matter and columnar aerosol loading, we computed the Spearman correlation between hourly <inline-formula><mml:math id="M189" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M190" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> concentrations and AOD at 500 <inline-formula><mml:math id="M191" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> (Fig. S2 in the Supplement). <inline-formula><mml:math id="M192" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> shows a moderate positive correlation with AOD (<inline-formula><mml:math id="M193" display="inline"><mml:mi mathvariant="italic">ρ</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M194" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.60, <inline-formula><mml:math id="M195" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>≪</mml:mo></mml:mrow></mml:math></inline-formula> 0.01), consistent with the strong influence of fine smoke particles, while <inline-formula><mml:math id="M196" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> exhibits a weaker but still significant correlation (<inline-formula><mml:math id="M197" display="inline"><mml:mi mathvariant="italic">ρ</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M198" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.20, <inline-formula><mml:math id="M199" display="inline"><mml:mrow><mml:mi>p</mml:mi><mml:mo>≪</mml:mo></mml:mrow></mml:math></inline-formula> 0.01), reflecting contributions from coarse particles such as dust. These results confirm that surface PM enhancements generally coincide with periods of elevated aerosol loading during the wildfire and dust events. Enhanced eBC concentrations (<inline-formula><mml:math id="M200" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 1.0 <inline-formula><mml:math id="M201" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> on 21–24 August; Fig. 3e), together with the sharp increase in the BB fraction (<inline-formula><mml:math id="M202" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 50 %), further confirm the strong wildfire influence. Outside the wildfire periods, lower BB % values suggest mixed traffic and background sources. To further examine the coupling between elevated smoke layers and surface aerosol enhancements, ERA5-derived planetary boundary layer height (PBLH) data were analyzed together with simultaneous lidar and in-situ observations (Figs. S3 and S4 in the Supplement). During July and August episodes, the PBLH increased during daytime, occasionally intersecting the lower portion of the elevated aerosol layers, coinciding with surface <inline-formula><mml:math id="M203" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and eBC peaks. These findings indicate that part of the surface aerosol enhancement can be attributed to downward mixing of transported smoke, in addition to local planetary boundary layer contributions.</p>
</sec>
<sec id="Ch1.S3.SS3">
  <label>3.3</label><title>Transport of fresh smoke and dust (the case of 18–21 July 2023)</title>
      <p id="d2e2761">FLEXPART footprint emission sensitivities for BC from 18 to 21 July 2023 (12:00–18:00 UTC) indicate that air masses arriving over Athens between 0.5 and 4.0 <inline-formula><mml:math id="M204" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> altitude were strongly influenced by biomass burning (wildfires) activity, particularly originating from southern and northeastern Greece. The footprint maps (Fig. 4a–d) show increased residence time over active wildfire regions such as Dervenochoria, Greece (Fig. 2b), supporting the transport of smoke plumes from local forest fires. Additional emission sensitivities over the Balkans and Central Europe suggest potential contributions from regional air pollution sources.</p>
      <p id="d2e2772">From 20 July onward, the footprint emission sensitivities extend over North Africa, indicating the influence of Saharan dust during the latter part of this period. This shift in source influence from predominant local biomass burning to a combination with mineral dust corresponds with elevated <inline-formula><mml:math id="M205" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> concentrations, increased <inline-formula><mml:math id="M206" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M207" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M208" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> ratios (<inline-formula><mml:math id="M209" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 0.6) and enhanced organic aerosol fractions observed during the episode.</p>

      <fig id="F5" specific-use="star"><label>Figure 5</label><caption><p id="d2e2824">Spatio-temporal evolution of the <bold>(a)</bold> range-corrected lidar signal (RCS) at 1064 <inline-formula><mml:math id="M210" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> and <bold>(b)</bold> volume depolarization ratio at 532 <inline-formula><mml:math id="M211" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> for the period 18–21 July 2023.</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/26/4313/2026/acp-26-4313-2026-f05.png"/>

        </fig>

      <p id="d2e2856">Figure 5 presents the spatio-temporal evolution of the range-corrected lidar signal (RCS, in arbitrary units) at 1064 <inline-formula><mml:math id="M212" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>, obtained from the EOLE system between 18 and 21 July 2023, from <inline-formula><mml:math id="M213" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.5 to 6.0 <inline-formula><mml:math id="M214" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> height a.s.l. On 18 July, two distinct aerosol layers were observed above the Planetary Boundary Layer (PBL): one extending from 0.5 to 2.0 <inline-formula><mml:math id="M215" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> and another between 2.5 and 3.0 <inline-formula><mml:math id="M216" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> height, with a very thin, detached layer around <inline-formula><mml:math id="M217" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 3.8 <inline-formula><mml:math id="M218" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> height during daytime hours, likely related to transported smoke. During nighttime, the lower aerosol layer persisted, while two thin layers around 2.5 and 3.8 <inline-formula><mml:math id="M219" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> remained visible, maintaining a similar vertical structure.</p>
      <p id="d2e2922">On 19 July, a more stable situation was observed with a dominant aerosol layer from <inline-formula><mml:math id="M220" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.5 to 2.0 <inline-formula><mml:math id="M221" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> height and a thin, elevated one, between 2.0 and 3.0 <inline-formula><mml:math id="M222" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>. As the day progressed into the evening, the elevated layer appeared to descend slightly. During nighttime, the PBL height remained, while a faint layer was observed aloft, consistent with aged smoke residues.</p>
      <p id="d2e2948">A more dynamic picture emerged on 20 July, coinciding with the arrival of dust particles. The lidar signals showed increased atmospheric mixing and vertical redistribution of aerosols. Early in the day, several distinct layers were identified: from 0.5 to 1.5, 1.5 to 3.0, 3.0 to 3.5 <inline-formula><mml:math id="M223" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> heights, and thinner layers between 3.5 and 5.0 <inline-formula><mml:math id="M224" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>. As the day progressed, these thin upper-tropospheric layers descended and merged with lower ones, forming more compact and optically dense features. Between 19:00 and 21:40 UTC, cloud formation was observed near 2.0 <inline-formula><mml:math id="M225" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> height, likely induced by the interaction of biomass burning particles and mineral dust particles.</p>
      <p id="d2e2975">On 21 July, a multi-layered structure developed: an elevated layer between 1.5 and 2.5 <inline-formula><mml:math id="M226" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>, another from 2.5 to 3.0 <inline-formula><mml:math id="M227" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>, and a thin lofted layer between 4.0 and 5.0 <inline-formula><mml:math id="M228" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>, likely associated with long-range dust transport. Between 12:40 and 18:00 UTC, a dense aerosol accumulation was noted around 2.5 <inline-formula><mml:math id="M229" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>, while the higher layers remained persistent. In the evening and nighttime hours, the atmospheric structure appeared to stabilize, with layers becoming more stratified and less turbulent.</p>

      <fig id="F6" specific-use="star"><label>Figure 6</label><caption><p id="d2e3012">Vertical profiles of aerosol <bold>(a)</bold> backscatter coefficient (355, 532 and 1064 <inline-formula><mml:math id="M230" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>) <bold>(b)</bold> extinction coefficient and AOD (355 and 532 <inline-formula><mml:math id="M231" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>) <bold>(c)</bold> lidar ratio (355 and 532 <inline-formula><mml:math id="M232" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>) Ångström <bold>(d)</bold> m exponent <bold>(e)</bold> PLDR (532 <inline-formula><mml:math id="M233" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>) and <bold>(f)</bold> aerosol mass concentration (coarse, fine mode and total particles) obtained by the EOLE and DEPOLE lidar systems on 21 July 2023 (18:20–18:50 UTC).</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/26/4313/2026/acp-26-4313-2026-f06.png"/>

        </fig>

      <p id="d2e3073">The vertical profiles of the aerosol optical properties retrieved on 21 July presented in Fig. 6, show three distinct aerosol layers between 1.6 and 3.8 <inline-formula><mml:math id="M234" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>. These profiles were averaged over a 30 <inline-formula><mml:math id="M235" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">min</mml:mi></mml:mrow></mml:math></inline-formula> period to retrieve the temporal stability and enhance the signal-to-noise ratio of the measurements during the occurrence of the dense aerosol layer observed at that time. The lowest layer (1.62–2.16 <inline-formula><mml:math id="M236" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>) is characterized by elevated aerosol backscatter coefficients, especially at 355 <inline-formula><mml:math id="M237" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> (3.79 <inline-formula><mml:math id="M238" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">M</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">sr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) (Fig. 6a), and a high AE (<inline-formula><mml:math id="M239" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">Aeb</mml:mi><mml:mrow><mml:mn mathvariant="normal">355</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">532</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M240" display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> 1.60), indicating a dominance of fine-mode particles, likely biomass burning. However, the moderate PLDR (<inline-formula><mml:math id="M241" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 0.11) suggests the presence of some non-spherical particles, possibly indicating dust and smoke mixtures (Sicard et al., 2012; Janicka et al., 2017). The middle aerosol layer (2.52–3.00 <inline-formula><mml:math id="M242" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>) shows slightly lower backscatter but similarly high lidar ratios (LR355 <inline-formula><mml:math id="M243" display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> 36 <inline-formula><mml:math id="M244" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">sr</mml:mi></mml:mrow></mml:math></inline-formula>), with an increase in PLDR to <inline-formula><mml:math id="M245" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.16, reinforcing the mixing hypothesis. The upper layer (3.18–3.84 <inline-formula><mml:math id="M246" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>) presents the highest PLDR (<inline-formula><mml:math id="M247" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 0.19) and the lowest AE, which is consistent with a more coarse-dominated aerosol layer, despite lower  backscatter and extinction values. ERA5-derived PBLH values indicate that the PBL remained below the base of the elevated smoke and dust layers during the early morning but grew sufficiently in the afternoon to intersect the lower layers. This suggests that downward mixing from the free troposphere could contribute to surface PM enhancements, consistent with the observed <inline-formula><mml:math id="M248" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> peaks.</p>
      <p id="d2e3222">Figure 6b presents the aerosol extinction coefficients at 355 and 532 <inline-formula><mml:math id="M249" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>, which peak in the lower and middle layers, with values exceeding 100 <inline-formula><mml:math id="M250" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">M</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> at 355 <inline-formula><mml:math id="M251" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>, further confirming a strong aerosol load. In addition, the layer-resolved AOD retrieved from the extinction lidar profiles highlights the significant optical contribution of each layer to the total column. Specifically, the AOD at 355 <inline-formula><mml:math id="M252" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> ranged from 0.27 in the lower layers to 0.12 at higher altitudes, while at 532 <inline-formula><mml:math id="M253" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> it ranged from 0.14 to 0.05. These values are consistent with a mixed smoke-dust episode, with the higher AOD at shorter wavelengths indicating pronounced fine-mode particles from smoke, while the significant contribution at 532 <inline-formula><mml:math id="M254" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> reflects the presence of coarse mineral dust within the same air mass. Figure 6c shows lidar ratios, reaching 57 <inline-formula><mml:math id="M255" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">sr</mml:mi></mml:mrow></mml:math></inline-formula> at 532 <inline-formula><mml:math id="M256" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>, which are typical of absorbing smoke but also possible dust contributions (Groß et al., 2011). Figure 6d presents the AE, showing a clear gradient from high (smoke) in the lower layer to low (dust) in the upper layer (Baars et al., 2012; Salgueiro et al., 2021). Figure 6e illustrates the PLDR at 532 <inline-formula><mml:math id="M257" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>, which increases with height (PLDR <inline-formula><mml:math id="M258" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.2) and indicates the dust influence in the upper layers. Finally, Fig. 5f presents the mass concentration profiles of fine, coarse, and total aerosols, highlighting the enhanced contribution from coarse-mode particles with increasing altitude. Within the identified aerosol layers, coarse-mode mass concentrations ranged from 20 <inline-formula><mml:math id="M259" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 7 to 55 <inline-formula><mml:math id="M260" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 20 <inline-formula><mml:math id="M261" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, with values increasing up to 4.5 <inline-formula><mml:math id="M262" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>. In contrast, the fine-mode mass concentration exhibited a mean of 8 <inline-formula><mml:math id="M263" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 3 <inline-formula><mml:math id="M264" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, with a peak of 36 <inline-formula><mml:math id="M265" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 12 <inline-formula><mml:math id="M266" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> observed at around 1.8 <inline-formula><mml:math id="M267" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>, corresponding to the lower aerosol layer. These vertical profiles confirm the presence of both fine and coarse particles, with the coarse mode clearly dominating at higher altitudes. The observed aerosol layers indicate a mixed event of biomass burning and Saharan dust over Athens.</p>

      <fig id="F7" specific-use="star"><label>Figure 7</label><caption><p id="d2e3419">Time<inline-formula><mml:math id="M268" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>series of values of the <bold>(a)</bold> AOD for various wavelengths (340–1020 <inline-formula><mml:math id="M269" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>) and AE at 440/870 <inline-formula><mml:math id="M270" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> <bold>(b)</bold> AOD at 500 <inline-formula><mml:math id="M271" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> along with the FMF <bold>(c)</bold> SSA wavelength dependence and <bold>(d)</bold> Particle volume size distribution obtained by the NTUA CIMEL sun-sky-lunar photometer for the period 18–21 July 2023.</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/26/4313/2026/acp-26-4313-2026-f07.png"/>

        </fig>

      <p id="d2e3472">Figure 7 presents time-series of columnar aerosol optical and microphysical properties retrieved by the NTUA CIMEL sun-sky-lunar photometer for the period 18–21 July 2023, capturing the evolving impact of regional biomass burning and dust transport over Athens. Figure 7a shows the AOD at multiple wavelengths (340–1020 <inline-formula><mml:math id="M272" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>), along with the AE (440/870 <inline-formula><mml:math id="M273" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>). The elevated AOD values and relatively high AE (<inline-formula><mml:math id="M274" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 1.5) observed during 18–19 July indicate the dominance of fine-mode particles, consistent with smoke from local and regional fires. On 20–21 July, a decrease in AE values along with sustained high AOD ones suggests a mixture of aerosols, due to the additional presence of coarse-mode dust particles from North Africa.</p>
      <p id="d2e3498">Figure 7b focuses on the AOD at 500 <inline-formula><mml:math id="M275" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> and the FMF values remained above 0.8 on 18–19 July, confirming the fine-mode dominance typical of biomass-burning aerosols. A slight decline in FMF (<inline-formula><mml:math id="M276" display="inline"><mml:mo lspace="0mm">&lt;</mml:mo></mml:math></inline-formula> 0.6) on 20–21 July corresponds to the arrival of Saharan dust, introducing a coarse-mode component to the aerosol mixture.</p>

      <fig id="F8" specific-use="star"><label>Figure 8</label><caption><p id="d2e3519">Footprint emission sensitivities for BC obtained using FLEXPART for the air masses arriving over Athens between 0.5 and 4.0 <inline-formula><mml:math id="M277" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> from 22 to 25 August 2023 (12:00 to 18:00 UTC).</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/26/4313/2026/acp-26-4313-2026-f08.jpg"/>

        </fig>

      <p id="d2e3536">Figure 7c presents the wavelength dependence of SSA for the period 18–21 July 2023. The SSA values, reported at 440, 675, 870, and 1020 <inline-formula><mml:math id="M278" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>, show consistently high values (<inline-formula><mml:math id="M279" display="inline"><mml:mo lspace="0mm">&gt;</mml:mo></mml:math></inline-formula> 0.90), indicative of scattering-dominated aerosols. On 18 July, SSA values ranged from 0.97 at 440 <inline-formula><mml:math id="M280" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> to 0.94 at 1020 <inline-formula><mml:math id="M281" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>, suggesting a presence of fine-mode, weakly absorbing particles. A slight decrease was observed on 19 July, indicating a modest increase in aerosol absorption. Notably, on 20 July the SSA values were quite low at 440 <inline-formula><mml:math id="M282" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> (0.91), but higher values were found (<inline-formula><mml:math id="M283" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 0.96) at longer wavelengths, possibly reflecting a mixture of absorbing fine-mode smoke and coarse-mode dust. By 21 July, the SSA spectrum remained relatively stable but slightly lower at shorter wavelengths, consistent with aged biomass burning aerosols that exhibit moderate absorption, particularly in the bluer region. Moreover, the volume size distribution (Fig. 7d), showing a prominent fine-mode peak during 18–19 July, which becomes broader on 20–21 July, reflecting the superposition of fine and coarse aerosol modes. This agrees well with the interpretation of a mixed aerosol event resulting from the interaction of smoke and Saharan dust over the Athens basin.</p>
</sec>
<sec id="Ch1.S3.SS4">
  <label>3.4</label><title>Transport of fresh smoke particles (the case of 22–25 August 2023)</title>
      <p id="d2e3594">Footprint emission sensitivities for BC from 22 to 25 August 2023 (12:00–18:00 UTC) (Fig. 7) confirm that the air masses arriving over Athens between 0.5 and 4.0 <inline-formula><mml:math id="M284" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> altitude passed over regions with intense wildfire activity, particularly over northern Greece, and specifically the Rodopi and Evros regions (Fig. 2c). This spatial overlap underscores a strong biomass burning (BB) influence on the aerosol composition observed over Athens during this episode.</p>
      <p id="d2e3605">More specifically, the footprint emission sensitivities from 22 to 25 August (Fig. 8a–d) show increased residence time over the Evros and Rodopi wildfire zones (Fig. 2b), suggesting direct transport of smoke plumes from forest fires. Additional sensitivity over parts of the Balkans and Turkey correspond to potential regional pollution contributions. In contrast, the lack of significant sensitivity over North Africa indicates a minimal dust influence during this period.</p>

      <fig id="F9" specific-use="star"><label>Figure 9</label><caption><p id="d2e3610">Spatio-temporal evolution of the <bold>(a)</bold> range-corrected lidar signal (RCS) at 1064 <inline-formula><mml:math id="M285" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> and <bold>(b)</bold> volume depolarization ratio at 532 <inline-formula><mml:math id="M286" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> for the period 22–25 August 2023.</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/26/4313/2026/acp-26-4313-2026-f09.png"/>

        </fig>

      <p id="d2e3642">Figure 9 presents the spatio-temporal evolution of the range-corrected lidar signal (RCS) at 1064 <inline-formula><mml:math id="M287" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> over Athens from 22 to 25 August 2023, revealing persistent layers of transported biomass burning aerosols within the free troposphere and a dynamically evolving PBL.</p>
      <p id="d2e3653">On 22 August, the PBL extended up to <inline-formula><mml:math id="M288" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1.0 <inline-formula><mml:math id="M289" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> in the morning, with a distinct aerosol layer observed aloft between 3.0–4.0 <inline-formula><mml:math id="M290" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>. Around 14:00–14:30 UTC, cloud formation occurred at <inline-formula><mml:math id="M291" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 4.0 <inline-formula><mml:math id="M292" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>, likely associated with the interaction of lofted BB aerosols and residual moisture. Between 14:30 and 16:00 UTC, this upper layer gradually descended to <inline-formula><mml:math id="M293" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2.0 <inline-formula><mml:math id="M294" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>, and persisted at that height until 19:00 UTC, positioned above a slightly deepened PBL (<inline-formula><mml:math id="M295" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 1.3 <inline-formula><mml:math id="M296" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>). A diffuse aerosol layer persisted above, extending up to 4.0 <inline-formula><mml:math id="M297" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> height.</p>
      <p id="d2e3733">On 23 August, a shallow PBL (<inline-formula><mml:math id="M298" display="inline"><mml:mo lspace="0mm">≤</mml:mo></mml:math></inline-formula> 1.0 <inline-formula><mml:math id="M299" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>) was maintained throughout the day. Overlying this, persistent lofted aerosol layers were identified between 2.0–3.0 and 3.0–4.0 <inline-formula><mml:math id="M300" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>, intensifying progressively through the evening. Cloud formation was observed at <inline-formula><mml:math id="M301" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 5.0 <inline-formula><mml:math id="M302" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>, attributed to BB plume-driven condensation activity.</p>
      <p id="d2e3774">During 24 August, multiple stratified aerosol layers were present above the PBL (<inline-formula><mml:math id="M303" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 1.0 <inline-formula><mml:math id="M304" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>), notably at 2.0–3.0, 3.2–3.5, and 4.0–4.8 <inline-formula><mml:math id="M305" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> as early as 11:45 UTC. These layers became progressively more optically dense during the day. Between 15:30 and 19:20 UTC, mid-tropospheric cloud formation occurred at <inline-formula><mml:math id="M306" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1.8 and <inline-formula><mml:math id="M307" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2.8 <inline-formula><mml:math id="M308" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>, likely due to interactions between hygroscopic smoke particles and elevated humidity (Fig. S5 in the Supplement). The elevated aerosol layering persisted through the night (after 20:00 UTC), with continued cloud presence.</p>
      <p id="d2e3823">On 25 August, the lidar signal revealed a relatively stable vertical aerosol structure, with a well-defined layer up to <inline-formula><mml:math id="M309" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2.0 <inline-formula><mml:math id="M310" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> and a distinct elevated layer near <inline-formula><mml:math id="M311" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 4.0 <inline-formula><mml:math id="M312" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>. The upper layer intensified in the late afternoon (around 17:00 UTC), resulting in cloud formation by 20:00 UTC, consistent with sustained BB aerosol presence and favorable thermodynamic conditions.</p>
      <p id="d2e3856">These observations confirm the persistent influence of BB aerosols over Athens during this period, affecting both aerosol vertical structure and cloud formation processes.</p>

      <fig id="F10" specific-use="star"><label>Figure 10</label><caption><p id="d2e3862">Vertical profiles of aerosol <bold>(a)</bold> backscatter coefficient (355, 532 and 1064 <inline-formula><mml:math id="M313" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>) <bold>(b)</bold> extinction coefficient and AOD (355 and 532 <inline-formula><mml:math id="M314" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>) <bold>(c)</bold> lidar ratio (355 and 532 <inline-formula><mml:math id="M315" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>) <bold>(d)</bold> Ångström exponent <bold>(e)</bold> PLDR (532 <inline-formula><mml:math id="M316" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>) and <bold>(f)</bold> aerosol mass concentration (coarse, fine mode and total particles) obtained by the EOLE and DEPOLE lidar systems on 24 August 2023 (17:50–18:40 UTC).</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/26/4313/2026/acp-26-4313-2026-f10.png"/>

        </fig>

      <p id="d2e3922">Figure 10 illustrates the vertical profiles of the aerosol optical properties retrieved on 24 August 2023, during an episode dominated by biomass burning smoke particles transported from the Evros and Rodopi regions in northeastern Greece, as confirmed by FLEXPART simulations (Fig. 8). The backscatter coefficients (Fig. 10a) reveal three distinct aerosol layers between 1.5–1.8, 3.0–3.72 and 3.96–4.62 <inline-formula><mml:math id="M317" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>. The upper layers exhibited enhanced backscatter coefficients at all 3 wavelengths (e.g. <inline-formula><mml:math id="M318" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">b</mml:mi><mml:mn mathvariant="normal">355</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M319" display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> 3.25 <inline-formula><mml:math id="M320" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">M</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">sr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>), suggesting a more concentrated aerosol load, while both layers showed backscatter AE (<inline-formula><mml:math id="M321" display="inline"><mml:mrow class="chem"><mml:mi mathvariant="normal">Ab</mml:mi><mml:mn mathvariant="normal">355</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">532</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M322" display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> 1.4) indicative of fine-mode particles.</p>
      <p id="d2e3998">Figure 10b presents the aerosol extinction coefficients at 355 and 532 <inline-formula><mml:math id="M323" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>, peaking up to 130 <inline-formula><mml:math id="M324" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">M</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in the lower layer and 120 <inline-formula><mml:math id="M325" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">M</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> in the upper one. These high extinction values point to substantial aerosol optical depth, consistent with a dense smoke plume. Furthermore, the layer-resolved AOD at 355 <inline-formula><mml:math id="M326" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>, ranged from 0.32 in the lower, more concentrated smoke layer to 0.06 in the upper one, while at 532 <inline-formula><mml:math id="M327" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> it ranged from 0.12 to 0.0035. The much larger AOD at the shorter wavelength reflects the dominance of fine-mode smoke particles, which exhibit a strong wavelength dependence with rapidly decreasing optical depth across longer wavelengths. The extremely low AOD values at 532 <inline-formula><mml:math id="M328" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> aloft also indicate that the upper layers contained more diluted smoke, with only a minor contribution to the total column Moreover, the lidar ratios of 51 <inline-formula><mml:math id="M329" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">sr</mml:mi></mml:mrow></mml:math></inline-formula> (355 <inline-formula><mml:math id="M330" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>) and 85 <inline-formula><mml:math id="M331" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">sr</mml:mi></mml:mrow></mml:math></inline-formula> (532 <inline-formula><mml:math id="M332" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>) in the lower layer, and slightly reduced values (50 and 65 <inline-formula><mml:math id="M333" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">sr</mml:mi></mml:mrow></mml:math></inline-formula>) in the upper layer (Fig. 10c) are both indicative of the presence of biomass burning aerosol (Alados-Arboledas et al., 2011; Müller et al., 2007).</p>
      <p id="d2e4108">The aerosol Ångström exponents, <inline-formula><mml:math id="M334" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">Ab</mml:mi><mml:mrow><mml:mn mathvariant="normal">355</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">532</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M335" display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> 1.4 and <inline-formula><mml:math id="M336" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">Ab</mml:mi><mml:mrow><mml:mn mathvariant="normal">532</mml:mn><mml:mo>/</mml:mo><mml:mn mathvariant="normal">1064</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula> ranged from 0.2 to <inline-formula><mml:math id="M337" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.05, the latter suggesting the presence of slightly larger particles (Nicolae et al., 2013) in the upper layer. The low values of the PLDR (<inline-formula><mml:math id="M338" display="inline"><mml:mo lspace="0mm">≤</mml:mo></mml:math></inline-formula> 0.057) (Fig. 10e), further supported the absence of mineral dust and the predominance of spherical smoke particles (Gidarakou et al., 2024; Haarig et al., 2019). Finally, Fig. 10f presents the vertical profiles of aerosol mass concentration, clearly showing fine-mode dominance across both elevated layers, consistent with the presence of biomass burning aerosols, as also supported by FLEXPART simulations. Fine-mode mass concentrations ranged from 23 <inline-formula><mml:math id="M339" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 7 to 30 <inline-formula><mml:math id="M340" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 10 <inline-formula><mml:math id="M341" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> within the layers, with increasing values observed up to 4.5 <inline-formula><mml:math id="M342" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>. These elevated concentrations are attributed to biomass-burning emissions from intense wildfires in Evros and Rodopi, with the smoke plume clearly visible in the MODIS/Aqua satellite image acquired on the afternoon of 22 August 2023 (Fig. 2c). A slight contribution from coarse-mode particles was also detected, but the overall signal remained dominated by the fine fraction, typical of aged, lofted smoke layers.</p>

      <fig id="F11" specific-use="star"><label>Figure 11</label><caption><p id="d2e4208">Time-series of values of the <bold>(a)</bold> AOD for various wavelengths (340–1020 <inline-formula><mml:math id="M343" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>) and AE at 440/870 <inline-formula><mml:math id="M344" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> <bold>(b)</bold> AOD at 500 <inline-formula><mml:math id="M345" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> along with the FMF <bold>(c)</bold> SSA wavelength dependence and <bold>(d)</bold> particle volume size distribution obtained by the NTUA CIMEL sun-sky-lunar photometer for the period 22–25 August 2023.</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/26/4313/2026/acp-26-4313-2026-f11.png"/>

        </fig>

      <p id="d2e4255">Figure 11 presents the time series of the columnar aerosol optical and microphysical properties retrieved from the NTUA CIMEL sun-sky-lunar photometer during the 22–25 August 2023 period, which coincided with intense wildfire activity in northern Greece. The AOD (Fig. 11a) remained elevated throughout the period, particularly at shorter wavelengths, specifically it increased from <inline-formula><mml:math id="M346" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.3 to 0.5 the first two days, while it increased a lot on 24 August reaching values up to 1.5 indicating the arrival of intense smoke plumes. The AE values were consistently high from 1.5–2.0 with peak again on 24 August confirming the dominance of fine-mode aerosols, biomass-burning smoke. Moreover, the AOD at 500 <inline-formula><mml:math id="M347" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> had the same trend and remained peaked on 24 August reaching <inline-formula><mml:math id="M348" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.7, with the FMF (Fig. 11b) exceeding 0.6 on 22 August reaching even 1.0 on the last day, further supporting the strong influence of fine particles. Figure 11c shows the SSA as a function of wavelength from AERONET observations between 22 and 25 August 2023, highlighting variations in aerosol absorption and scattering properties across four wavelengths: 440, 675, 870, and 1020 <inline-formula><mml:math id="M349" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>. On 22 August, the SSA values were moderate (<inline-formula><mml:math id="M350" display="inline"><mml:mo lspace="0mm">≈</mml:mo></mml:math></inline-formula> 0.92–0.94), suggesting internally mixed aerosols with moderate absorption, likely linked to transported smoke. A peak in SSA values was observed on 23 August, reaching 0.98 at 440 <inline-formula><mml:math id="M351" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>, indicating highly scattering aerosols, consistent with a cleaner or more aged smoke plume. In contrast, 24 August showed a marked decrease in SSA values with wavelength from 0.93 at 440 <inline-formula><mml:math id="M352" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> to just 0.85 at 1020 <inline-formula><mml:math id="M353" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> was found on 24 August, revealing the presence of more absorbing, coarse-mode particles, likely due to a denser biomass burning plume (Fig. 11c). By 25 August, the SSA values increased again (up to 0.96 at 440 <inline-formula><mml:math id="M354" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>), suggesting a shift back toward less absorbing, finer-mode aerosols. This spectral dependence suggests the presence of internally mixed carbonaceous particles, with stronger absorption in the visible and near-infrared range (Russell et al., 2010).</p>
      <p id="d2e4328">Finally, the particle volume size distribution shown in Fig. 11d is characterized by a dominant fine-mode peak, accompanied by a noticeable coarse-mode contribution, consistent with the presence of smoke plumes from regional wildfires influencing the air masses over Athens during this period.</p>

      <fig id="F12" specific-use="star"><label>Figure 12</label><caption><p id="d2e4333">Aerosol geometrical, optical, and microphysical properties retrieved over Athens during the period from 17 July to 30 August 2023: <bold>(a)</bold> base, top, and thickness off the aerosol layers, <bold>(b)</bold> backscatter coefficients (355, 532, and 1064 <inline-formula><mml:math id="M355" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>), <bold>(c)</bold> LR (355 and 532 <inline-formula><mml:math id="M356" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>), <bold>(d)</bold> PLDR (355 and 532 <inline-formula><mml:math id="M357" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>), <bold>(e)</bold> <inline-formula><mml:math id="M358" display="inline"><mml:mrow><mml:msub><mml:mi>R</mml:mi><mml:mtext>eff</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>, and <bold>(f)</bold> imaginary (mI) and real (mR) parts of the complex refractive index.</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/26/4313/2026/acp-26-4313-2026-f12.png"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS5">
  <label>3.5</label><title>Aerosol optical and microphysical properties</title>
      <p id="d2e4405">Figure 12 presents the geometrical (Thickness and Base and Top of the aerosol layers) and optical (backscatter coefficient, LR, PLDR and microphysical properties (effective radius and refractive index – real and imaginary) for the period from 17 July to 30 August, according to aerosols layers observed. During the biomass burning and dust period (17 to 21 July), aerosol layers were observed from heights of 0.96 to 5.34 <inline-formula><mml:math id="M359" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>, while the mean thickness of the aerosol layers was equal to 0.60 <inline-formula><mml:math id="M360" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>. High values of aerosol backscatter coefficient that were recorded during this period, exceeding 12 <inline-formula><mml:math id="M361" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4 <inline-formula><mml:math id="M362" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">M</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">sr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> at 355 <inline-formula><mml:math id="M363" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> (20 July), as well as enhanced ones at 532 <inline-formula><mml:math id="M364" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>, even reaching 6.8 <inline-formula><mml:math id="M365" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 2 <inline-formula><mml:math id="M366" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">M</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">sr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, are indicative of dense aerosol loads. The LR at 355 <inline-formula><mml:math id="M367" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> varied from 30 <inline-formula><mml:math id="M368" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 6 to 86 <inline-formula><mml:math id="M369" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 14 <inline-formula><mml:math id="M370" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">sr</mml:mi></mml:mrow></mml:math></inline-formula> (21 July), presenting an average value equal to 48 <inline-formula><mml:math id="M371" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4 <inline-formula><mml:math id="M372" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">sr</mml:mi></mml:mrow></mml:math></inline-formula>. The LR at 532 <inline-formula><mml:math id="M373" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> presented an increased range from 27 (18 July) to 58 <inline-formula><mml:math id="M374" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">sr</mml:mi></mml:mrow></mml:math></inline-formula> (21 July) and an average value of 37 <inline-formula><mml:math id="M375" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 8 <inline-formula><mml:math id="M376" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">sr</mml:mi></mml:mrow></mml:math></inline-formula>. These LR values indicate the significant presence of Saharan dust aerosols, along with fresh biomass burning particles (Mylonaki et al., 2021; Papagiannopoulos et al., 2018). Furthermore, PLDR values at both 355 and 532 <inline-formula><mml:math id="M377" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> ranged approximately from 0.03 to 0.19, with a mean value of 0.06 <inline-formula><mml:math id="M378" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.01 at 355 <inline-formula><mml:math id="M379" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> and 0.08 <inline-formula><mml:math id="M380" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.01 at 532 <inline-formula><mml:math id="M381" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>. These PLDR values at 355 and 532 <inline-formula><mml:math id="M382" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> highlight the presence of non-spherical particles (0.03–0.08), with slightly enhanced values indicating smoke-dust mixtures (PLDR <inline-formula><mml:math id="M383" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.1–0.2). Specifically, the PLDR was stronger in lower layers and reduced in upper layers, supporting mixed-type aerosols (Giannakaki et al., 2016; Nemuc et al., 2013). variability and differing sensitivity to aerosol layers.</p>
      <p id="d2e4639">The peak of <inline-formula><mml:math id="M384" display="inline"><mml:mrow><mml:msub><mml:mi>R</mml:mi><mml:mtext>eff</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> values on 21 July reflects the presence of a dense dust plume mixed with smoke particles (Weinzierl et al., 2011). Real refractive index – mR ranged from 1.53 <inline-formula><mml:math id="M385" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.05 to 1.61 <inline-formula><mml:math id="M386" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.05, while imaginary parts – mI reached up to 0.0093 <inline-formula><mml:math id="M387" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.005, especially on 18 July, indicating the presence of moderately absorbing, smoke particles (Nicolae et al., 2013). A quantitative classification of the aerosol types based on established lidar ratio and depolarization thresholds (Fig. S8 in the Supplement) further supports this interpretation, distinguishing dust-dominated, smoke-dominated, and mixed aerosol layers during this period.</p>
      <p id="d2e4674">During the period from 22 to 25 August, aerosol layers were observed between <inline-formula><mml:math id="M388" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 1.0 and 5.5 <inline-formula><mml:math id="M389" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>, with an average thickness of 0.56 <inline-formula><mml:math id="M390" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>. Mean aerosol backscatter coefficients reached 3.03 <inline-formula><mml:math id="M391" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.44 <inline-formula><mml:math id="M392" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">M</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">sr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> at 355 <inline-formula><mml:math id="M393" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> and 1.65 <inline-formula><mml:math id="M394" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.24 <inline-formula><mml:math id="M395" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">M</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">sr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> at 532 <inline-formula><mml:math id="M396" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>, with peak values of 5.64 and 3.42 <inline-formula><mml:math id="M397" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">M</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">sr</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, respectively, indicating the presence of a moderately dense aerosol load. The LR values at 355 <inline-formula><mml:math id="M398" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> ranged from <inline-formula><mml:math id="M399" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 25 to 75 <inline-formula><mml:math id="M400" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">sr</mml:mi></mml:mrow></mml:math></inline-formula>, with an average of 44 <inline-formula><mml:math id="M401" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 11 <inline-formula><mml:math id="M402" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">sr</mml:mi></mml:mrow></mml:math></inline-formula>, while LR at 532 <inline-formula><mml:math id="M403" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> varied from <inline-formula><mml:math id="M404" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 15 to 52 <inline-formula><mml:math id="M405" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">sr</mml:mi></mml:mrow></mml:math></inline-formula>, averaging 32 <inline-formula><mml:math id="M406" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 13 <inline-formula><mml:math id="M407" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">sr</mml:mi></mml:mrow></mml:math></inline-formula>. These values suggest a mixture of aerosol types, likely dominated by fresh biomass burning particles.</p>

      <fig id="F13" specific-use="star"><label>Figure 13</label><caption><p id="d2e4890">UVB irradiance attenuation at 320 <inline-formula><mml:math id="M408" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> for the period 14 July–30 August at SZAs of <bold>(a)</bold> 60°, <bold>(b)</bold> 50°, <bold>(c)</bold> 40°, and <bold>(d)</bold> 30°, as measured by the Brewer spectroradiometer (blue) and compared with clear-sky simulations from the libRadtran model (red). The percentage difference between observations and model is also shown (black dashed line), as well as the diurnal UVB irradiance at 320 <inline-formula><mml:math id="M409" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> for three representative cases: <bold>(e)</bold> 21 July (smoke <inline-formula><mml:math id="M410" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> dust), <bold>(f)</bold> 23 July (dust), and <bold>(g)</bold> 24 August (smoke), compared to clear-sky values.</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/26/4313/2026/acp-26-4313-2026-f13.png"/>

        </fig>

      <p id="d2e4944">The LR<sub>532</sub> <inline-formula><mml:math id="M412" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> LR<sub>355</sub> ratio had a mean of <inline-formula><mml:math id="M414" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.72, further supporting this classification (Nicolae et al., 2013). PLDR values at 355 and 532 <inline-formula><mml:math id="M415" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> ranged from <inline-formula><mml:math id="M416" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.04 to 0.10, with average values of 0.08 and 0.04, respectively, indicating the presence of mostly mixed non-spherical particles with smoke ones. In terms of microphysical properties, the retrieved <inline-formula><mml:math id="M417" display="inline"><mml:mrow><mml:msub><mml:mi>R</mml:mi><mml:mtext>eff</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> values ranged from <inline-formula><mml:math id="M418" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.07 to 0.37 <inline-formula><mml:math id="M419" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>, with an average of 0.16 <inline-formula><mml:math id="M420" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 0.02 <inline-formula><mml:math id="M421" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>. The sun photometer-derived <inline-formula><mml:math id="M422" display="inline"><mml:mrow><mml:msub><mml:mi>R</mml:mi><mml:mtext>eff</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> values ranged from 0.24 to 0.47 <inline-formula><mml:math id="M423" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>, averaging 0.34 <inline-formula><mml:math id="M424" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>. To quantify the consistency between lidar and sun photometer retrievals, we calculated correlation and bias statistics (Fig. S6 in the Supplement). The Pearson correlation coefficient is 0.39 (<inline-formula><mml:math id="M425" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M426" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.033) and the Spearman correlation is 0.54 (<inline-formula><mml:math id="M427" display="inline"><mml:mi>p</mml:mi></mml:math></inline-formula> <inline-formula><mml:math id="M428" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 0.002). The root-mean-square error (RMSE) is 0.213 <inline-formula><mml:math id="M429" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>, with a mean bias (Lidar – Sun) of <inline-formula><mml:math id="M430" display="inline"><mml:mo>-</mml:mo></mml:math></inline-formula>0.132 <inline-formula><mml:math id="M431" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>. These results indicate that the two retrievals capture consistent temporal variability, although lidar slightly underestimates the column-integrated <inline-formula><mml:math id="M432" display="inline"><mml:mrow><mml:msub><mml:mi>R</mml:mi><mml:mtext>eff</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula>. The RMSE and mean bias suggest that column-integrated radiative calculations using either product would differ by <inline-formula><mml:math id="M433" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.2 <inline-formula><mml:math id="M434" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>, which is within the expected uncertainty of aerosol microphysical retrievals. The real part of the refractive index (mR) varied from 1.43 to 1.61 (mean: 1.56), and the imaginary part (mI) reached up to 0.0103, indicating strongly absorbing aerosols (Weinzierl et al., 2011). These absorption features are supported by independent observations: AERONET SSA at 440 <inline-formula><mml:math id="M435" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> decreased to <inline-formula><mml:math id="M436" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.85 during peak wildfire events, eBC concentrations measured at the surface peaked concurrently with elevated smoke layers, and ACSM measurements indicate a high fraction of organics. Together, these constraints confirm that the strong absorption is real and not driven solely by the lidar retrievals.</p>

      <fig id="F14" specific-use="star"><label>Figure 14</label><caption><p id="d2e5174">SSA at 320 <inline-formula><mml:math id="M437" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> for three representative cases: <bold>(a)</bold> 21 July (smoke <inline-formula><mml:math id="M438" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> dust), <bold>(b)</bold> 23 July (dust), and <bold>(c)</bold> 24 August (smoke). The dotted blue lines represent the SSA values for irradiances that are within <inline-formula><mml:math id="M439" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 5 % around the measured values.</p></caption>
          <graphic xlink:href="https://acp.copernicus.org/articles/26/4313/2026/acp-26-4313-2026-f14.png"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS6">
  <label>3.6</label><title>Impact of aerosols on ground solar UVB irradiance</title>
      <p id="d2e5223">Figure 13a–d show the measured UVB irradiance at 320 <inline-formula><mml:math id="M440" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> (blue line) from the Brewer spectrophotometer at specific SZAs of 60, 50, 40, and 30°, respectively, compared with UVB estimates from the clear-sky radiative transfer model (LibRadtran; red line). The percentage difference between measurements and model values is also shown (black dashed line). Figure 13e–g present the diurnal evolution of UVB irradiance at 320 <inline-formula><mml:math id="M441" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> for three characteristic cases: Fig. 13e smoke <inline-formula><mml:math id="M442" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> dust (21 July), Fig. 13f dust only (23 July), and Fig. 13g smoke only (24 August). Measured UVB (blue) is plotted alongside clear-sky model simulations (red) to highlight the attenuation impacts of different aerosol types on surface UVB levels.</p>
      <p id="d2e5249">All analyzed periods correspond to cloud-free conditions, as confirmed by visual inspection of the lidar spatio–temporal profiles and Brewer data. Measurements affected by cloud or thin cloud presence were excluded to ensure reliable comparison with the clear-sky radiative transfer simulations. However, we note that a small influence from optically thin or subvisible cirrus clouds cannot be entirely ruled out in certain cases, since our lidar system operates in a fixed vertical configuration and may not detect very weak or high-level cirrus layers.</p>
      <p id="d2e5252">Overall, the largest discrepancies are observed during the second case study (22–25 August), when biomass burning aerosols were dominant. On 24 August, the percentage difference at SZA <inline-formula><mml:math id="M443" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 60° reached up to 40 % (Fig. 13a), while at SZA <inline-formula><mml:math id="M444" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 30°, a peak difference of 42 % was recorded on 23 August (Fig. 13d), highlighting the strong attenuation effect of smoke. In contrast, during the first case study (18–21 July), which was influenced by a mixture of dust and smoke, UVB attenuation was less pronounced. On 21 July, for example, the difference at SZA <inline-formula><mml:math id="M445" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 60° reached <inline-formula><mml:math id="M446" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 23 %, and up to 11 % at SZA <inline-formula><mml:math id="M447" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 40° (Fig. 13c). A similar pattern is observed for dust aerosol conditions on 23 July. However, when smoke is the dominant aerosol type, as in late August, the UVB attenuation becomes significantly stronger, especially at lower SZAs.</p>
      <p id="d2e5290">These patterns are also supported by the diurnal plots in Fig. 13e–g, which present UVB irradiance measurements at 320 <inline-formula><mml:math id="M448" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> for three selected days, each representing a different aerosol event discussed in Sect. 3: 21 July (smoke <inline-formula><mml:math id="M449" display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula> dust), 23 July (dust-dominated), and 24 August (smoke-dominated). On 21 July, elevated AOD resulted from the combined presence of smoke and dust, while 23 July was characterized by high AOD due to the presence of dust. The most extreme UVB attenuation occurred on 24 August, coinciding with the highest AOD values of the period, driven by smoke. In contrast, the least attenuation was observed on 23 July, corresponding to the lowest AOD among the three days. These differences align with aerosol optical characteristics shown in Fig. 3: 21 July featured high Ångström exponent (AE <inline-formula><mml:math id="M450" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 1) and fine-mode fraction (FMF <inline-formula><mml:math id="M451" display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> 0.6), indicating mixed aerosols, 23 July had low AE (<inline-formula><mml:math id="M452" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 0.5) and FMF (<inline-formula><mml:math id="M453" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 0.3), consistent with coarse-mode dust dominance, while 24 August exhibited strong fine-mode influence, with AE around 2.0 and AOD at 340 <inline-formula><mml:math id="M454" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> exceeding 1.0.</p>
      <p id="d2e5346">The SSA in the UV can differ significantly from the SSA at visible wavelengths. By comparing the measured spectra with modelled spectra, we estimated the SSA at 320 <inline-formula><mml:math id="M455" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>, as well as the SSA for irradiances that are within the uncertainty range of the Brewer spectral measurements (i.e., 5 %) (Bais et al., 2001). At Fig. 13, we show the SSA values for the same days as in Fig. 13e–g. For the smoke event (24 August) the SSA at 320 <inline-formula><mml:math id="M456" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> is similar to the SSA at 440 <inline-formula><mml:math id="M457" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> (Fig. 11). Very low SSA values (0.75–0.8), well below the SSA values in the visible spectral region (Fig. 7) were found for the dust dominated mixture (23 July), which is in agreement with the results of past studies (Fountoulakis et al., 2019; Raptis et al., 2018). The boundaries shown in Fig. 14 do not represent the full range of uncertainties in the retrieval of the SSA. Additional uncertainty in the order of 0.1 must be considered due to uncertainties in the inputs that were used for the libRadtran simulations (AOD, surface albedo, aerosol profile, etc) (e.g., Fountoulakis et al., 2019). Thus, the results presented here should be treated with caution. Nevertheless, they provide a strong indication for the validity of the findings of previous studies showing that dust particles can be more absorbing in the UV-B compared to smoke particles.</p>
</sec>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <label>4</label><title>Summary and conclusions</title>
      <p id="d2e5382">Summer 2023 was marked one of the most severe wildfire seasons in recent Greek history, with large-scale fires affecting regions, such as Evros, Rodopi, Attica, the Peloponnese, and several islands. This study examined the optical and microphysical properties of smoke aerosols (sometimes mixed with dust particles) long-ranged transported over Athens from two major wildfires in Greece (18–21 July and 22–25 August 2023) and investigated the aerosol impact on UVB solar radiation at ground level using a combination of satellite observations (MODIS), FLEXPART transport modelling, ground-based lidar and sun-sky-lunar photometer measurements, and in situ aerosol and radiation data.</p>
      <p id="d2e5385">Throughout the observation period (17 July–31 August), Athens experienced significant aerosol loading, largely attributed to biomass burning events. The most intense air pollution episode occurred in late August and was associated with wildfires in northeastern Greece. Elevated AOD values, consistently high Ångström exponent (AE <inline-formula><mml:math id="M458" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 1), and fine-mode fraction (FMF <inline-formula><mml:math id="M459" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 0.9 on 24 August) indicated the dominant presence of fine, absorbing particles, typical of fresh smoke. AOD values retrieved from Brewer and CIMEL instruments (in the 320–1020 <inline-formula><mml:math id="M460" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula> spectral region) showed close agreement (<inline-formula><mml:math id="M461" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 0.05 difference), supporting the reliability of the optical data. Ground level chemical composition analyses revealed peak organic aerosol concentrations (22.77 <inline-formula><mml:math id="M462" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> on 22 August), with black carbon fraction from biomass burning exceeding 80 %. <inline-formula><mml:math id="M463" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M464" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> concentrations were also enhanced, reaching hourly maxima of 94 and 49 <inline-formula><mml:math id="M465" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">g</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, respectively, with <inline-formula><mml:math id="M466" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">2.5</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M467" display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> <inline-formula><mml:math id="M468" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">PM</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> ratios up to 0.7, further confirming the presence of fine aerosols from biomass burning processes.</p>
      <p id="d2e5507">During the July episode (17–21 July), our lidar observations showed elevated aerosol layers between 0.96 and 5.34 <inline-formula><mml:math id="M469" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>, with an average thickness of 0.60 <inline-formula><mml:math id="M470" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>. High values of aerosol backscatter coefficients were recorded, along with LR values of 48 <inline-formula><mml:math id="M471" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 4 <inline-formula><mml:math id="M472" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">sr</mml:mi></mml:mrow></mml:math></inline-formula> (355 <inline-formula><mml:math id="M473" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>) and 37 <inline-formula><mml:math id="M474" display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> 8 <inline-formula><mml:math id="M475" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">sr</mml:mi></mml:mrow></mml:math></inline-formula> (532 <inline-formula><mml:math id="M476" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>), consistent with smoke-dust mixtures. PLDR values of 0.06 (355 <inline-formula><mml:math id="M477" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>) and 0.08 (532 <inline-formula><mml:math id="M478" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>) further supported our findings. Aerosol microphysical retrievals indicated effective radii up to 0.97 <inline-formula><mml:math id="M479" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>, real refractive indices between 1.53–1.61, and imaginary parts up to 0.0093, suggesting moderately absorbing particles. In contrast, during 22–25 August, the aerosol layers extended up to 5.5 <inline-formula><mml:math id="M480" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> with slightly thinner mean thickness (0.56 <inline-formula><mml:math id="M481" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>). Aerosol backscatter coefficient values were lower in comparison to the first case (18–21 July), but the LRs remained elevated (around 45 <inline-formula><mml:math id="M482" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">sr</mml:mi></mml:mrow></mml:math></inline-formula>). PLDR values averaged at 0.08 (355 <inline-formula><mml:math id="M483" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>) and 0.04 (532 <inline-formula><mml:math id="M484" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>), while the retrieved particles values showed smaller effective radii (mean: 0.16 <inline-formula><mml:math id="M485" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>), with higher imaginary refractive index (0.0103) values, indicating the presence of strongly absorbing particles (Pokhrel et al., 2016).</p>
      <p id="d2e5650">The impact of the aerosol particles on solar UV radiation at ground level was substantial. Indeed, the UVB irradiance dropped by up to 50 % (26 August) during the smoke-heavy days compared to the previous ones. The August episode showed even stronger attenuation, with UVB reductions of 40 % at SZA <inline-formula><mml:math id="M486" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 60° and 42 % at SZA <inline-formula><mml:math id="M487" display="inline"><mml:mo>=</mml:mo></mml:math></inline-formula> 30°. In contrast, the mixed dust-smoke period in July showed smaller reductions (<inline-formula><mml:math id="M488" display="inline"><mml:mo lspace="0mm">∼</mml:mo></mml:math></inline-formula> 25 %). Daily UVB cycles supported these trends: 21 July exhibited moderate attenuation alongside AE <inline-formula><mml:math id="M489" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 1 and FMF <inline-formula><mml:math id="M490" display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> 0.6; 23 July (dust-dominated) showed weaker UVB effects with AE <inline-formula><mml:math id="M491" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.5 and FMF <inline-formula><mml:math id="M492" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 0.3; while 24 August (smoke-dominated) recorded AE <inline-formula><mml:math id="M493" display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2.0, AOD <inline-formula><mml:math id="M494" display="inline"><mml:mo>&gt;</mml:mo></mml:math></inline-formula> 1.0, and the strongest UVB suppression. During the smoke events the absorption efficiency of the particles was found to be comparable or lower than the absorption efficiency in the visible wavelengths (i.e., comparable or larger SSA in the UV), while the presence of dust results in lower SSA values in the UVB relative to the visible region.</p>
      <p id="d2e5718">The FLEXPART simulations confirmed the transport of biomass burning aerosols from northeastern Greece regions (Evros, Rodopi) to Athens. Additional contributions from Saharan dust and regional pollution, particularly in July, modulated the observed aerosol properties.</p>
      <p id="d2e5721">Overall, the present study highlights the value of integrating satellite, modelling, and ground-based observations to assess the complex impacts of wildfire aerosols. Our findings highlighted the strong influence of fire emissions on aerosol optical, microphysical, and radiative properties over Athens in summer 2023. In addition, we provided a systematic comparison between Brewer-derived AOD and CIMEL AERONET AOD, showing good agreement (average difference <inline-formula><mml:math id="M495" display="inline"><mml:mo>&lt;</mml:mo></mml:math></inline-formula> 0.05, standard deviation 0.05–0.1 depending on wavelength). A complementary comparison between layer-integrated AOD retrieved from lidar and CIMEL sun-photometer measurements (355 vs. 340 and 532 vs. 500 <inline-formula><mml:math id="M496" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi></mml:mrow></mml:math></inline-formula>) is included in the Supplement (Fig. S7 in the Supplement). This further validates the use of Brewer measurements for investigating aerosol effects on UVB radiation at ground level, since UVB radiation near ground plays a crucial role in human health and local air pollution photochemistry.</p>
</sec>

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

      <p id="d2e5744">Lidar optical data are available in the repository: <ext-link xlink:href="https://doi.org/10.5281/zenodo.17787794" ext-link-type="DOI">10.5281/zenodo.17787794</ext-link> (Papayannis et al., 2025). Lidar microphysical data as well as in situ data are available in the repository: <ext-link xlink:href="https://doi.org/10.5281/zenodo.18924230" ext-link-type="DOI">10.5281/zenodo.18924230</ext-link> (Gidarakou et al., 2026). Brewer spectrophotometer data are available in the repository: <ext-link xlink:href="https://doi.org/10.5281/zenodo.17714735" ext-link-type="DOI">10.5281/zenodo.17714735</ext-link> (Fountoulakis, 2025). All Aqua MODIS NASA Satellite imagery can be found in: <uri>https://worldview.earthdata.nasa.gov/</uri> (last access: 15 December 2025). All AERONET data used in this work can be accessed through the AERONET web page: <uri>http://aeronet.gsfc.nasa.gov/</uri> (last access: 20 February 2026). All FLEXPART results can be viewed or downloaded from <uri>https://atmo-access.nilu.no/NTUA_2023.py</uri> (last access: 20 August 2025). The air mass backward trajectory analysis is based on air mass transport computation by the NOAA (National Oceanic and Atmospheric Administration) HYSPLIT (HYbrid Single-Particle Lagrangian Integrated Trajectory) model (<uri>http://ready.arl.noaa.gov/HYSPLIT_traj.php</uri>, last access: 15 December 2025). GDAS1 (Global Data Assimilation System 1) re-analysis products from the National Weather Service's National Centers for Environmental Prediction are available at <uri>https://www.ready.noaa.gov/gdas1.php</uri> (last access: 15 December 2025).</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d2e5772">The supplement related to this article is available online at <inline-supplementary-material xlink:href="https://doi.org/10.5194/acp-26-4313-2026-supplement" xlink:title="pdf">https://doi.org/10.5194/acp-26-4313-2026-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d2e5781">Conceptualization, A.P. and M.G.; methodology, M.G. and A.P.; software, M.G., I.V., N.E., C.G.Z, E.K. and M.M.; validation, I.V., M.G., M.I.G., O.Z., K.G., K. Eleftheriadis., E.D., K. Eleftheratos, and I.F.; investigation, M.G., A.P., K. Eleftheratos. and I.F.; data curation, M.G., E.D., O.Z., M.M., I.V., I.F.; writing – original draft preparation, M.G.; writing – review and editing, M.G., A.P., K. Eleftheratos and I.F.; visualization, M.G., N.E., C.G.Z.; All authors have read and agreed to the published version of the manuscript.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d2e5787">The contact author has declared that none of the authors has any competing interests.</p>
  </notes><notes notes-type="disclaimer"><title>Disclaimer</title>

      <p id="d2e5793">Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. The authors bear the ultimate responsibility for providing appropriate place names. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.</p>
  </notes><notes notes-type="sistatement"><title>Special issue statement</title>

      <p id="d2e5799">This article is part of the special issue “Sun-photometric measurements of aerosols: harmonization, comparisons, synergies, effects, and applications”. It is not associated with a conference.</p>
  </notes><ack><title>Acknowledgements</title><p id="d2e5805">The authors acknowledge the use of data and/or imagery from NASA's Fire Information for Resource Management System (FIRMS) (<uri>https://earthdata.nasa.gov/firms</uri>, last access: 15 December 2025), part of NASA's Earth Observing System Data and Information System (EOSDIS). The map shown in Fig. 2a is provided by Earthstar Geographics. The AERONET project at NASA GSFC is supported by the Earth Observing System Program Science Office Cal-Val, Radiation Science program at NASA headquarters, and various field campaigns. We would also like to thank AERONET for their continuous efforts in providing high-quality measurements and derivative products.</p></ack><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d2e5813">The publication fees of this article were funded by the COST Action CA21119 Harmonia (International network for harmonisation of atmospheric aerosol retrievals from ground-based photometers), funded by COST (European Cooperation in Science and Technology). M.G. was supported by the Hellenic Foundation for Research and Innovation (HFRI) under the 4th Call for HFRI Ph.D. Fellowships (Fellowship number: 9293). The project 21GRD02 BIOSPHERE has received funding from the European Partnership on Metrology, co-financed by the European Union's Horizon Europe Research and Innovation Programme and by the Participating States. The FLEXPART results used a virtual access service that is supported by the European Commission under the Horizon 2020 – Research and Innovation Framework Programme, H2020-INFRAIA-2020-1, ATMO-ACCESS. Grant Agreement number: 101008004. The computations/simulations/[SIMILAR] were performed using resources provided by Sigma2 – the National Infrastructure for High-Performance Computing and Data Storage in Norway.</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d2e5819">This paper was edited by Suvarna Fadnavis and reviewed by two anonymous referees.</p>
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