Is the near-spherical shape the "new black" for smoke?
We examine the capability of near-sphericalshaped particles to reproduce the triple-wavelength particle linear depolarization ratio (PLDR) and lidar ratio (LR) values measured over Europe for stratospheric smoke originating from Canadian wildfires. The smoke layers were detected both in the troposph...
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ftleibnizopen:oai:oai.leibnizopen.de:cm76PYkBdbrxVwz6ZIYN 2023-07-30T03:55:32+02:00 Is the near-spherical shape the "new black" for smoke? Gialitaki, Anna Tsekeri, Alexandra Amiridis, Vassilis Ceolato, Romain Paulien, Lucas Kampouri, Anna Gkikas, Antonis Solomos, Stavros Marinou, Eleni Haarig, Moritz Baars, Holger Ansmann, Albert Lapyonok, Tatyana Lopatin, Anton Dubovik, Oleg Groß, Silke Wirth, Martin Tsichla, Maria Tsikoudi, Ioanna Balis, Dimitris 2020 application/pdf https://oa.tib.eu/renate/handle/123456789/7030 https://doi.org/10.34657/6077 eng eng Katlenburg-Lindau : EGU CC BY 4.0 Unported https://creativecommons.org/licenses/by/4.0/ Atmospheric chemistry and physics 20 (2020), Nr. 22 AERONET black carbon lidar optical property particulate matter smoke troposphere wildfire Europe 550 article Text 2020 ftleibnizopen https://doi.org/10.34657/6077 2023-07-10T13:03:45Z We examine the capability of near-sphericalshaped particles to reproduce the triple-wavelength particle linear depolarization ratio (PLDR) and lidar ratio (LR) values measured over Europe for stratospheric smoke originating from Canadian wildfires. The smoke layers were detected both in the troposphere and the stratosphere, though in the latter case the particles presented PLDR values of almost 18% at 532 nm as well as a strong spectral dependence from the UV to the near-IR wavelength. Although recent simulation studies of rather complicated smoke particle morphologies have shown that heavily coated smoke aggregates can produce large PLDR, herein we propose a much simpler model of compact near-spherical smoke particles. This assumption allows for the reproduction of the observed intensive optical properties of stratospheric smoke, as well as their spectral dependence. We further examine whether an extension of the current Aerosol Robotic Network (AERONET) scattering model to include the near-spherical shapes could be of benefit to the AERONET retrieval for stratospheric smoke cases associated with enhanced PLDR. Results of our study illustrate the fact that triple-wavelength PLDR and LR lidar measurements can provide us with additional insight when it comes to particle characterization. © 2020 Author(s). publishedVersion Article in Journal/Newspaper Aerosol Robotic Network LeibnizOpen (The Leibniz Association) |
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Open Polar |
collection |
LeibnizOpen (The Leibniz Association) |
op_collection_id |
ftleibnizopen |
language |
English |
topic |
AERONET black carbon lidar optical property particulate matter smoke troposphere wildfire Europe 550 |
spellingShingle |
AERONET black carbon lidar optical property particulate matter smoke troposphere wildfire Europe 550 Gialitaki, Anna Tsekeri, Alexandra Amiridis, Vassilis Ceolato, Romain Paulien, Lucas Kampouri, Anna Gkikas, Antonis Solomos, Stavros Marinou, Eleni Haarig, Moritz Baars, Holger Ansmann, Albert Lapyonok, Tatyana Lopatin, Anton Dubovik, Oleg Groß, Silke Wirth, Martin Tsichla, Maria Tsikoudi, Ioanna Balis, Dimitris Is the near-spherical shape the "new black" for smoke? |
topic_facet |
AERONET black carbon lidar optical property particulate matter smoke troposphere wildfire Europe 550 |
description |
We examine the capability of near-sphericalshaped particles to reproduce the triple-wavelength particle linear depolarization ratio (PLDR) and lidar ratio (LR) values measured over Europe for stratospheric smoke originating from Canadian wildfires. The smoke layers were detected both in the troposphere and the stratosphere, though in the latter case the particles presented PLDR values of almost 18% at 532 nm as well as a strong spectral dependence from the UV to the near-IR wavelength. Although recent simulation studies of rather complicated smoke particle morphologies have shown that heavily coated smoke aggregates can produce large PLDR, herein we propose a much simpler model of compact near-spherical smoke particles. This assumption allows for the reproduction of the observed intensive optical properties of stratospheric smoke, as well as their spectral dependence. We further examine whether an extension of the current Aerosol Robotic Network (AERONET) scattering model to include the near-spherical shapes could be of benefit to the AERONET retrieval for stratospheric smoke cases associated with enhanced PLDR. Results of our study illustrate the fact that triple-wavelength PLDR and LR lidar measurements can provide us with additional insight when it comes to particle characterization. © 2020 Author(s). publishedVersion |
format |
Article in Journal/Newspaper |
author |
Gialitaki, Anna Tsekeri, Alexandra Amiridis, Vassilis Ceolato, Romain Paulien, Lucas Kampouri, Anna Gkikas, Antonis Solomos, Stavros Marinou, Eleni Haarig, Moritz Baars, Holger Ansmann, Albert Lapyonok, Tatyana Lopatin, Anton Dubovik, Oleg Groß, Silke Wirth, Martin Tsichla, Maria Tsikoudi, Ioanna Balis, Dimitris |
author_facet |
Gialitaki, Anna Tsekeri, Alexandra Amiridis, Vassilis Ceolato, Romain Paulien, Lucas Kampouri, Anna Gkikas, Antonis Solomos, Stavros Marinou, Eleni Haarig, Moritz Baars, Holger Ansmann, Albert Lapyonok, Tatyana Lopatin, Anton Dubovik, Oleg Groß, Silke Wirth, Martin Tsichla, Maria Tsikoudi, Ioanna Balis, Dimitris |
author_sort |
Gialitaki, Anna |
title |
Is the near-spherical shape the "new black" for smoke? |
title_short |
Is the near-spherical shape the "new black" for smoke? |
title_full |
Is the near-spherical shape the "new black" for smoke? |
title_fullStr |
Is the near-spherical shape the "new black" for smoke? |
title_full_unstemmed |
Is the near-spherical shape the "new black" for smoke? |
title_sort |
is the near-spherical shape the "new black" for smoke? |
publisher |
Katlenburg-Lindau : EGU |
publishDate |
2020 |
url |
https://oa.tib.eu/renate/handle/123456789/7030 https://doi.org/10.34657/6077 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Atmospheric chemistry and physics 20 (2020), Nr. 22 |
op_rights |
CC BY 4.0 Unported https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.34657/6077 |
_version_ |
1772815360003670016 |