Biomass burning events measured by lidars in EARLINET. Part II. Results and discussions,

Detalhes bibliográficos
Autor(a) principal: Adam, Mariana
Data de Publicação: 2020
Outros Autores: Nicolae, Doina, Belegante, Livio, Stachlewska, Iwona, Janika, Lucja, Szczepanik, Dominika, Mylonaki, Maria, Bortoli, Daniele, et al.
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/31033
https://doi.org/Adam, M., Nicolae, D., Belegante, L., Stachlewska, I. S., Janicka, L., Szczepanik, D., Mylonaki, M., Papanikolaou, C. A., Siomos, N., Voudouri, K. A., Alados-Arboledas, L., Bravo-Aranda, J. A., Apituley, A., Papagiannopoulos, N., Mona, L., Mattis, I., Chaikovsky, A., Sicard, M., Muñoz-Porcar, C., Pietruczuk, A., Bortoli, D., Baars, H., Grigorov, I., and Peshev, Z.: Biomass burning events measured by lidars in EARLINET. Part II. Results and discussions, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2020-647, 2020.
https://doi.org/10.5194/acp-2020-647,2020
Resumo: Biomass burning events are analysed using the European Aerosol Research Lidar Network database for atmospheric profiling of aerosols by lidars. Atmospheric profiles containing forest fires layers were identified in data collected by fourteen stations during 2008–2017. The data ranged from complete data sets (particle backscatter coefficient, extinction coefficient and linear depolarization ratio) to single profiles (particle backscatter coefficient). The data analysis methodology was described in Part I (Biomass burning events measured by lidars in EARLINET. Part I. Data analysis methodology, under discussions to ACP, the EARLINET special issue). The results are analysed by means of intensive parameters in three directions: (I) common biomass burning source (fire) recorded by at least two stations, (II) long range transport of smoke particles from North America (here, we divided the events into "pure North America" and "mixed"-North America and local) smoke groups, and (III) analysis of smoke particles over four geographical regions (SE Europe, NE Europe, Central Europe and SW Europe). Five events were found for case (I), while 24 events were determined for case (II). A statistical analysis over the four geographical regions considered revealed that smoke originated from different regions. The smoke detected in the Central Europe region (Cabauw, Leipzig, and Hohenpeißenberg) was mostly brought over from North America (87 % of the fires), by long range transport. The smoke in the South West region (Barcelona, Evora, and Granada) came mostly from the Iberian Peninsula and North Africa, the long-range transport from North America accounting for only 9 % here. The smoke in the North Europe region (Belsk, Minsk, and Warsaw) originated mostly in East Europe (Ukraine and Russia), and had a 31 % contribution from smoke by long-range transport from North America. For the South East region (Athens, Bucharest, Potenza, Sofia, Thessaloniki) the origin of the smoke was mostly located in SE Europe (only 3 % from North America). Specific features for the lidar-derived intensive parameters based on smoke continental origin were determined for each region. Based on the whole dataset, the following signatures were observed: (i) the colour ratio of the lidar ratio and the backscatter Ångström exponent increase with travel time, while the extinction Ångström exponent and the colour ratio of the particle depolarization ratio decrease; (ii) an increase of the colour ratio of the particle depolarization ratio corresponds to both a decrease of the colour ratio of the lidar ratios and an increase of the extinction Ångström exponent; (iii) the measured smoke originating from all continental regions is characterized in average as aged smoke, except for a few cases; (iv) in general, the local smoke shows a smaller lidar ratio while the long range transported smoke shows a higher lidar ratio; and (v) the depolarization is smaller for long range transported smoke. A complete characterization of the smoke particles type (either fresh or aged) is presented for each of the four geographical regions versus different continental source regions.
id RCAP_4347e9a16b23a02ee9aac5e16394941a
oai_identifier_str oai:dspace.uevora.pt:10174/31033
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Biomass burning events measured by lidars in EARLINET. Part II. Results and discussions,Biomass burningLidarEARLINETbackscatter Ångström exponentBiomass burning events are analysed using the European Aerosol Research Lidar Network database for atmospheric profiling of aerosols by lidars. Atmospheric profiles containing forest fires layers were identified in data collected by fourteen stations during 2008–2017. The data ranged from complete data sets (particle backscatter coefficient, extinction coefficient and linear depolarization ratio) to single profiles (particle backscatter coefficient). The data analysis methodology was described in Part I (Biomass burning events measured by lidars in EARLINET. Part I. Data analysis methodology, under discussions to ACP, the EARLINET special issue). The results are analysed by means of intensive parameters in three directions: (I) common biomass burning source (fire) recorded by at least two stations, (II) long range transport of smoke particles from North America (here, we divided the events into "pure North America" and "mixed"-North America and local) smoke groups, and (III) analysis of smoke particles over four geographical regions (SE Europe, NE Europe, Central Europe and SW Europe). Five events were found for case (I), while 24 events were determined for case (II). A statistical analysis over the four geographical regions considered revealed that smoke originated from different regions. The smoke detected in the Central Europe region (Cabauw, Leipzig, and Hohenpeißenberg) was mostly brought over from North America (87 % of the fires), by long range transport. The smoke in the South West region (Barcelona, Evora, and Granada) came mostly from the Iberian Peninsula and North Africa, the long-range transport from North America accounting for only 9 % here. The smoke in the North Europe region (Belsk, Minsk, and Warsaw) originated mostly in East Europe (Ukraine and Russia), and had a 31 % contribution from smoke by long-range transport from North America. For the South East region (Athens, Bucharest, Potenza, Sofia, Thessaloniki) the origin of the smoke was mostly located in SE Europe (only 3 % from North America). Specific features for the lidar-derived intensive parameters based on smoke continental origin were determined for each region. Based on the whole dataset, the following signatures were observed: (i) the colour ratio of the lidar ratio and the backscatter Ångström exponent increase with travel time, while the extinction Ångström exponent and the colour ratio of the particle depolarization ratio decrease; (ii) an increase of the colour ratio of the particle depolarization ratio corresponds to both a decrease of the colour ratio of the lidar ratios and an increase of the extinction Ångström exponent; (iii) the measured smoke originating from all continental regions is characterized in average as aged smoke, except for a few cases; (iv) in general, the local smoke shows a smaller lidar ratio while the long range transported smoke shows a higher lidar ratio; and (v) the depolarization is smaller for long range transported smoke. A complete characterization of the smoke particles type (either fresh or aged) is presented for each of the four geographical regions versus different continental source regions.Atmos. Chem. Phys. Discuss2022-01-31T16:54:41Z2022-01-312020-07-27T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/31033https://doi.org/Adam, M., Nicolae, D., Belegante, L., Stachlewska, I. S., Janicka, L., Szczepanik, D., Mylonaki, M., Papanikolaou, C. A., Siomos, N., Voudouri, K. A., Alados-Arboledas, L., Bravo-Aranda, J. A., Apituley, A., Papagiannopoulos, N., Mona, L., Mattis, I., Chaikovsky, A., Sicard, M., Muñoz-Porcar, C., Pietruczuk, A., Bortoli, D., Baars, H., Grigorov, I., and Peshev, Z.: Biomass burning events measured by lidars in EARLINET. Part II. Results and discussions, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2020-647, 2020.http://hdl.handle.net/10174/31033https://doi.org/10.5194/acp-2020-647,2020porhttps://acp.copernicus.org/preprints/acp-2020-647/ICT, CGEndndndndndndnddb@uevora.ptnd390Adam, MarianaNicolae, DoinaBelegante, LivioStachlewska, IwonaJanika, LucjaSzczepanik, DominikaMylonaki, MariaBortoli, Danieleet al.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T19:30:06Zoai:dspace.uevora.pt:10174/31033Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:20:16.926730Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Biomass burning events measured by lidars in EARLINET. Part II. Results and discussions,
title Biomass burning events measured by lidars in EARLINET. Part II. Results and discussions,
spellingShingle Biomass burning events measured by lidars in EARLINET. Part II. Results and discussions,
Adam, Mariana
Biomass burning
Lidar
EARLINET
backscatter Ångström exponent
title_short Biomass burning events measured by lidars in EARLINET. Part II. Results and discussions,
title_full Biomass burning events measured by lidars in EARLINET. Part II. Results and discussions,
title_fullStr Biomass burning events measured by lidars in EARLINET. Part II. Results and discussions,
title_full_unstemmed Biomass burning events measured by lidars in EARLINET. Part II. Results and discussions,
title_sort Biomass burning events measured by lidars in EARLINET. Part II. Results and discussions,
author Adam, Mariana
author_facet Adam, Mariana
Nicolae, Doina
Belegante, Livio
Stachlewska, Iwona
Janika, Lucja
Szczepanik, Dominika
Mylonaki, Maria
Bortoli, Daniele
et al.
author_role author
author2 Nicolae, Doina
Belegante, Livio
Stachlewska, Iwona
Janika, Lucja
Szczepanik, Dominika
Mylonaki, Maria
Bortoli, Daniele
et al.
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Adam, Mariana
Nicolae, Doina
Belegante, Livio
Stachlewska, Iwona
Janika, Lucja
Szczepanik, Dominika
Mylonaki, Maria
Bortoli, Daniele
et al.
dc.subject.por.fl_str_mv Biomass burning
Lidar
EARLINET
backscatter Ångström exponent
topic Biomass burning
Lidar
EARLINET
backscatter Ångström exponent
description Biomass burning events are analysed using the European Aerosol Research Lidar Network database for atmospheric profiling of aerosols by lidars. Atmospheric profiles containing forest fires layers were identified in data collected by fourteen stations during 2008–2017. The data ranged from complete data sets (particle backscatter coefficient, extinction coefficient and linear depolarization ratio) to single profiles (particle backscatter coefficient). The data analysis methodology was described in Part I (Biomass burning events measured by lidars in EARLINET. Part I. Data analysis methodology, under discussions to ACP, the EARLINET special issue). The results are analysed by means of intensive parameters in three directions: (I) common biomass burning source (fire) recorded by at least two stations, (II) long range transport of smoke particles from North America (here, we divided the events into "pure North America" and "mixed"-North America and local) smoke groups, and (III) analysis of smoke particles over four geographical regions (SE Europe, NE Europe, Central Europe and SW Europe). Five events were found for case (I), while 24 events were determined for case (II). A statistical analysis over the four geographical regions considered revealed that smoke originated from different regions. The smoke detected in the Central Europe region (Cabauw, Leipzig, and Hohenpeißenberg) was mostly brought over from North America (87 % of the fires), by long range transport. The smoke in the South West region (Barcelona, Evora, and Granada) came mostly from the Iberian Peninsula and North Africa, the long-range transport from North America accounting for only 9 % here. The smoke in the North Europe region (Belsk, Minsk, and Warsaw) originated mostly in East Europe (Ukraine and Russia), and had a 31 % contribution from smoke by long-range transport from North America. For the South East region (Athens, Bucharest, Potenza, Sofia, Thessaloniki) the origin of the smoke was mostly located in SE Europe (only 3 % from North America). Specific features for the lidar-derived intensive parameters based on smoke continental origin were determined for each region. Based on the whole dataset, the following signatures were observed: (i) the colour ratio of the lidar ratio and the backscatter Ångström exponent increase with travel time, while the extinction Ångström exponent and the colour ratio of the particle depolarization ratio decrease; (ii) an increase of the colour ratio of the particle depolarization ratio corresponds to both a decrease of the colour ratio of the lidar ratios and an increase of the extinction Ångström exponent; (iii) the measured smoke originating from all continental regions is characterized in average as aged smoke, except for a few cases; (iv) in general, the local smoke shows a smaller lidar ratio while the long range transported smoke shows a higher lidar ratio; and (v) the depolarization is smaller for long range transported smoke. A complete characterization of the smoke particles type (either fresh or aged) is presented for each of the four geographical regions versus different continental source regions.
publishDate 2020
dc.date.none.fl_str_mv 2020-07-27T00:00:00Z
2022-01-31T16:54:41Z
2022-01-31
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/31033
https://doi.org/Adam, M., Nicolae, D., Belegante, L., Stachlewska, I. S., Janicka, L., Szczepanik, D., Mylonaki, M., Papanikolaou, C. A., Siomos, N., Voudouri, K. A., Alados-Arboledas, L., Bravo-Aranda, J. A., Apituley, A., Papagiannopoulos, N., Mona, L., Mattis, I., Chaikovsky, A., Sicard, M., Muñoz-Porcar, C., Pietruczuk, A., Bortoli, D., Baars, H., Grigorov, I., and Peshev, Z.: Biomass burning events measured by lidars in EARLINET. Part II. Results and discussions, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2020-647, 2020.
http://hdl.handle.net/10174/31033
https://doi.org/10.5194/acp-2020-647,2020
url http://hdl.handle.net/10174/31033
https://doi.org/Adam, M., Nicolae, D., Belegante, L., Stachlewska, I. S., Janicka, L., Szczepanik, D., Mylonaki, M., Papanikolaou, C. A., Siomos, N., Voudouri, K. A., Alados-Arboledas, L., Bravo-Aranda, J. A., Apituley, A., Papagiannopoulos, N., Mona, L., Mattis, I., Chaikovsky, A., Sicard, M., Muñoz-Porcar, C., Pietruczuk, A., Bortoli, D., Baars, H., Grigorov, I., and Peshev, Z.: Biomass burning events measured by lidars in EARLINET. Part II. Results and discussions, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2020-647, 2020.
https://doi.org/10.5194/acp-2020-647,2020
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://acp.copernicus.org/preprints/acp-2020-647/
ICT, CGE
nd
nd
nd
nd
nd
nd
nd
db@uevora.pt
nd
390
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Atmos. Chem. Phys. Discuss
publisher.none.fl_str_mv Atmos. Chem. Phys. Discuss
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799136684287197184