Microphysical characterization of long-range transported biomass burning particles from North America at three EARLINET stations

Strong events of long-range transported biomass burning aerosol were detected during July 2013 at three EARLINET (European Aerosol Research Lidar Network) stations, namely Granada (Spain), Leipzig (Germany) and Warsaw (Poland). Satellite observations from MODIS (Moderate Resolution Imaging Spectrora...

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Main Authors: Ortiz-Amezcua, Pablo, Guerrero-Rascado, Juan Luis, Granados-Muñoz, María José, Benavent-Oltra, José Antonio, Böckmann, Christine, Samaras, Stefanos, Stachlewska, Iwona S., Janicka, Łucja, Baars, Holger, Bohlmann, Stephanie, Alados-Arboledas, Lucas
Format: Article in Journal/Newspaper
Language:English
Published: Katlenburg-Lindau : EGU 2017
Subjects:
550
Online Access:https://oa.tib.eu/renate/handle/123456789/11718
https://doi.org/10.34657/10751
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spelling ftleibnizopen:oai:oai.leibnizopen.de:qNJDfYoBNQPDO7WIi2Zc 2023-10-09T21:44:12+02:00 Microphysical characterization of long-range transported biomass burning particles from North America at three EARLINET stations Ortiz-Amezcua, Pablo Guerrero-Rascado, Juan Luis Granados-Muñoz, María José Benavent-Oltra, José Antonio Böckmann, Christine Samaras, Stefanos Stachlewska, Iwona S. Janicka, Łucja Baars, Holger Bohlmann, Stephanie Alados-Arboledas, Lucas 2017 application/pdf https://oa.tib.eu/renate/handle/123456789/11718 https://doi.org/10.34657/10751 eng eng Katlenburg-Lindau : EGU CC BY 3.0 Unported https://creativecommons.org/licenses/by/3.0 Atmospheric chemistry and physics 17 (2017), Nr. 9 aerosol algorithm biomass burning CALIOP lidar long range transport MODIS optical depth particulate matter North America 550 article Text 2017 ftleibnizopen https://doi.org/10.34657/10751 2023-09-10T23:34:14Z Strong events of long-range transported biomass burning aerosol were detected during July 2013 at three EARLINET (European Aerosol Research Lidar Network) stations, namely Granada (Spain), Leipzig (Germany) and Warsaw (Poland). Satellite observations from MODIS (Moderate Resolution Imaging Spectroradiometer) and CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) instruments, as well as modeling tools such as HYSPLIT (Hybrid Single-Particle Lagrangian Integrated Trajectory) and NAAPS (Navy Aerosol Analysis and Prediction System), have been used to estimate the sources and transport paths of those North American forest fire smoke particles. A multiwavelength Raman lidar technique was applied to obtain vertically resolved particle optical properties, and further inversion of those properties with a regularization algorithm allowed for retrieving microphysical information on the studied particles. The results highlight the presence of smoke layers of 1-2 km thickness, located at about 5 km a.s.l. altitude over Granada and Leipzig and around 2.5 km a.s.l. at Warsaw. These layers were intense, as they accounted for more than 30 % of the total AOD (aerosol optical depth) in all cases, and presented optical and microphysical features typical for different aging degrees: Color ratio of lidar ratios (LR532/LR355) around 2, α-related ängström exponents of less than 1, effective radii of 0.3 μm and large values of single scattering albedos (SSA), nearly spectrally independent. The intensive microphysical properties were compared with columnar retrievals form co-located AERONET (Aerosol Robotic Network) stations. The intensity of the layers was also characterized in terms of particle volume concentration, and then an experimental relationship between this magnitude and the particle extinction coefficient was established. publishedVersion Article in Journal/Newspaper Aerosol Robotic Network LeibnizOpen (The Leibniz Association)
institution Open Polar
collection LeibnizOpen (The Leibniz Association)
op_collection_id ftleibnizopen
language English
topic aerosol
algorithm
biomass burning
CALIOP
lidar
long range transport
MODIS
optical depth
particulate matter
North America
550
spellingShingle aerosol
algorithm
biomass burning
CALIOP
lidar
long range transport
MODIS
optical depth
particulate matter
North America
550
Ortiz-Amezcua, Pablo
Guerrero-Rascado, Juan Luis
Granados-Muñoz, María José
Benavent-Oltra, José Antonio
Böckmann, Christine
Samaras, Stefanos
Stachlewska, Iwona S.
Janicka, Łucja
Baars, Holger
Bohlmann, Stephanie
Alados-Arboledas, Lucas
Microphysical characterization of long-range transported biomass burning particles from North America at three EARLINET stations
topic_facet aerosol
algorithm
biomass burning
CALIOP
lidar
long range transport
MODIS
optical depth
particulate matter
North America
550
description Strong events of long-range transported biomass burning aerosol were detected during July 2013 at three EARLINET (European Aerosol Research Lidar Network) stations, namely Granada (Spain), Leipzig (Germany) and Warsaw (Poland). Satellite observations from MODIS (Moderate Resolution Imaging Spectroradiometer) and CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) instruments, as well as modeling tools such as HYSPLIT (Hybrid Single-Particle Lagrangian Integrated Trajectory) and NAAPS (Navy Aerosol Analysis and Prediction System), have been used to estimate the sources and transport paths of those North American forest fire smoke particles. A multiwavelength Raman lidar technique was applied to obtain vertically resolved particle optical properties, and further inversion of those properties with a regularization algorithm allowed for retrieving microphysical information on the studied particles. The results highlight the presence of smoke layers of 1-2 km thickness, located at about 5 km a.s.l. altitude over Granada and Leipzig and around 2.5 km a.s.l. at Warsaw. These layers were intense, as they accounted for more than 30 % of the total AOD (aerosol optical depth) in all cases, and presented optical and microphysical features typical for different aging degrees: Color ratio of lidar ratios (LR532/LR355) around 2, α-related ängström exponents of less than 1, effective radii of 0.3 μm and large values of single scattering albedos (SSA), nearly spectrally independent. The intensive microphysical properties were compared with columnar retrievals form co-located AERONET (Aerosol Robotic Network) stations. The intensity of the layers was also characterized in terms of particle volume concentration, and then an experimental relationship between this magnitude and the particle extinction coefficient was established. publishedVersion
format Article in Journal/Newspaper
author Ortiz-Amezcua, Pablo
Guerrero-Rascado, Juan Luis
Granados-Muñoz, María José
Benavent-Oltra, José Antonio
Böckmann, Christine
Samaras, Stefanos
Stachlewska, Iwona S.
Janicka, Łucja
Baars, Holger
Bohlmann, Stephanie
Alados-Arboledas, Lucas
author_facet Ortiz-Amezcua, Pablo
Guerrero-Rascado, Juan Luis
Granados-Muñoz, María José
Benavent-Oltra, José Antonio
Böckmann, Christine
Samaras, Stefanos
Stachlewska, Iwona S.
Janicka, Łucja
Baars, Holger
Bohlmann, Stephanie
Alados-Arboledas, Lucas
author_sort Ortiz-Amezcua, Pablo
title Microphysical characterization of long-range transported biomass burning particles from North America at three EARLINET stations
title_short Microphysical characterization of long-range transported biomass burning particles from North America at three EARLINET stations
title_full Microphysical characterization of long-range transported biomass burning particles from North America at three EARLINET stations
title_fullStr Microphysical characterization of long-range transported biomass burning particles from North America at three EARLINET stations
title_full_unstemmed Microphysical characterization of long-range transported biomass burning particles from North America at three EARLINET stations
title_sort microphysical characterization of long-range transported biomass burning particles from north america at three earlinet stations
publisher Katlenburg-Lindau : EGU
publishDate 2017
url https://oa.tib.eu/renate/handle/123456789/11718
https://doi.org/10.34657/10751
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source Atmospheric chemistry and physics 17 (2017), Nr. 9
op_rights CC BY 3.0 Unported
https://creativecommons.org/licenses/by/3.0
op_doi https://doi.org/10.34657/10751
_version_ 1779321509811060736