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...
Main Authors: | , , , , , , , , , , |
---|---|
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Katlenburg-Lindau : EGU
2017
|
Subjects: | |
Online Access: | https://oa.tib.eu/renate/handle/123456789/11718 https://doi.org/10.34657/10751 |
id |
ftleibnizopen:oai:oai.leibnizopen.de:sCaOVYsBBwLIz6xGw-3o |
---|---|
record_format |
openpolar |
spelling |
ftleibnizopen:oai:oai.leibnizopen.de:sCaOVYsBBwLIz6xGw-3o 2023-11-12T03:59:50+01:00 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 2023-10-22T23:34:34Z 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 Unknown |
institution |
Open Polar |
collection |
Unknown |
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_ |
1782337229326123008 |