Analysis of particulate emissions from tropical biomass burning using a global aerosol model and long-term surface observations
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNIFESP |
Texto Completo: | http://repositorio.unifesp.br/handle/11600/50973 http://dx.doi.org/10.5194/acp-16-11083-2016 |
Resumo: | We use the GLOMAP global aerosol model evaluated against observations of surface particulate matter (PM2.5) and aerosol optical depth (AOD) to better understand the impacts of biomass burning on tropical aerosol over the period 2003 to 2011. Previous studies report a large underestimation of AOD over regions impacted by tropical biomass burning, scaling particulate emissions from fire by up to a factor of 6 to enable the models to simulate observed AOD. To explore the uncertainty in emissions we use three satellite-derived fire emission datasets (GFED3, GFAS1 and FINN1). In these datasets the tropics account for 66-84% of global particulate emissions from fire. With all emission datasets GLOMAP underestimates dry season PM2.5 concentrations in regions of high fire activity in South America and underestimates AOD over South America, Africa and Southeast Asia. When we assume an upper estimate of aerosol hygroscopicity, underestimation of AOD over tropical regions impacted by biomass burning is reduced relative to previous studies. Where coincident observations of surface PM2.5 and AOD are available we find a greater model underestimation of AOD than PM2.5, even when we assume an upper estimate of aerosol hygroscopicity. Increasing particulate emissions to improve simulation of AOD can therefore lead to overestimation of surface PM2.5 concentrations. We find that scaling FINN1 emissions by a factor of 1.5 prevents underestimation of AOD and surface PM2.5 in most tropical locations except Africa. GFAS1 requires emission scaling factor of 3.4 in most locations with the exception of equatorial Asia where a scaling factor of 1.5 is adequate. Scaling GFED3 emissions by a factor of 1.5 is sufficient in active deforestation regions of South America and equatorial Asia, but a larger scaling factor is required elsewhere. The model with GFED3 emissions poorly simulates observed seasonal variability in surface PM2.5 and AOD in regions where small fires dominate, providing independent evidence that GFED3 underestimates particulate emissions from small fires. Seasonal variability in both PM2.5 and AOD is better simulated by the model using FINN1 emissions. Detailed observations of aerosol properties over biomass burning regions are required to better constrain particulate emissions from fires. |
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Reddington, Carly L.Spracklen, Dominick V.Artaxo, PauloRidley, David A.Rizzo, Luciana V. [UNIFESP]Arana, Andrea2019-07-22T15:46:35Z2019-07-22T15:46:35Z2016Atmospheric Chemistry And Physics. Gottingen, v. 16, n. 17, p. 11083-11106, 2016.1680-7316http://repositorio.unifesp.br/handle/11600/50973http://dx.doi.org/10.5194/acp-16-11083-2016WOS000383963600002.pdf10.5194/acp-16-11083-2016WOS:000383963600002We use the GLOMAP global aerosol model evaluated against observations of surface particulate matter (PM2.5) and aerosol optical depth (AOD) to better understand the impacts of biomass burning on tropical aerosol over the period 2003 to 2011. Previous studies report a large underestimation of AOD over regions impacted by tropical biomass burning, scaling particulate emissions from fire by up to a factor of 6 to enable the models to simulate observed AOD. To explore the uncertainty in emissions we use three satellite-derived fire emission datasets (GFED3, GFAS1 and FINN1). In these datasets the tropics account for 66-84% of global particulate emissions from fire. With all emission datasets GLOMAP underestimates dry season PM2.5 concentrations in regions of high fire activity in South America and underestimates AOD over South America, Africa and Southeast Asia. When we assume an upper estimate of aerosol hygroscopicity, underestimation of AOD over tropical regions impacted by biomass burning is reduced relative to previous studies. Where coincident observations of surface PM2.5 and AOD are available we find a greater model underestimation of AOD than PM2.5, even when we assume an upper estimate of aerosol hygroscopicity. Increasing particulate emissions to improve simulation of AOD can therefore lead to overestimation of surface PM2.5 concentrations. We find that scaling FINN1 emissions by a factor of 1.5 prevents underestimation of AOD and surface PM2.5 in most tropical locations except Africa. GFAS1 requires emission scaling factor of 3.4 in most locations with the exception of equatorial Asia where a scaling factor of 1.5 is adequate. Scaling GFED3 emissions by a factor of 1.5 is sufficient in active deforestation regions of South America and equatorial Asia, but a larger scaling factor is required elsewhere. The model with GFED3 emissions poorly simulates observed seasonal variability in surface PM2.5 and AOD in regions where small fires dominate, providing independent evidence that GFED3 underestimates particulate emissions from small fires. Seasonal variability in both PM2.5 and AOD is better simulated by the model using FINN1 emissions. Detailed observations of aerosol properties over biomass burning regions are required to better constrain particulate emissions from fires.Natural Environment Research Council for the South American Biomass Burning Analysis (SAMBBA) projectUniv Leeds, Sch Earth & Environm, Leeds, W Yorkshire, EnglandUniv Sao Paulo, Inst Phys, Dept Appl Phys, Sao Paulo, BrazilUniv Fed Sao Paulo, Inst Environm Chem & Pharmaceut Sci, Diadema, BrazilMIT, Dept Civil & Environm Engn, Cambridge, MA 02139 USAUniv Fed Sao Paulo, Inst Environm Chem & Pharmaceut Sci, Diadema, BrazilSAMBBA: NE/J009822/1Web of Science11083-11106engCopernicus Gesellschaft MbhAnalysis of particulate emissions from tropical biomass burning using a global aerosol model and long-term surface observationsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UNIFESPinstname:Universidade Federal de São Paulo (UNIFESP)instacron:UNIFESP11600/509732023-02-15 10:56:36.166metadata only accessoai:repositorio.unifesp.br:11600/50973Repositório InstitucionalPUBhttp://www.repositorio.unifesp.br/oai/requestopendoar:34652023-02-15T13:56:36Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)false |
dc.title.en.fl_str_mv |
Analysis of particulate emissions from tropical biomass burning using a global aerosol model and long-term surface observations |
title |
Analysis of particulate emissions from tropical biomass burning using a global aerosol model and long-term surface observations |
spellingShingle |
Analysis of particulate emissions from tropical biomass burning using a global aerosol model and long-term surface observations Reddington, Carly L. |
title_short |
Analysis of particulate emissions from tropical biomass burning using a global aerosol model and long-term surface observations |
title_full |
Analysis of particulate emissions from tropical biomass burning using a global aerosol model and long-term surface observations |
title_fullStr |
Analysis of particulate emissions from tropical biomass burning using a global aerosol model and long-term surface observations |
title_full_unstemmed |
Analysis of particulate emissions from tropical biomass burning using a global aerosol model and long-term surface observations |
title_sort |
Analysis of particulate emissions from tropical biomass burning using a global aerosol model and long-term surface observations |
author |
Reddington, Carly L. |
author_facet |
Reddington, Carly L. Spracklen, Dominick V. Artaxo, Paulo Ridley, David A. Rizzo, Luciana V. [UNIFESP] Arana, Andrea |
author_role |
author |
author2 |
Spracklen, Dominick V. Artaxo, Paulo Ridley, David A. Rizzo, Luciana V. [UNIFESP] Arana, Andrea |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Reddington, Carly L. Spracklen, Dominick V. Artaxo, Paulo Ridley, David A. Rizzo, Luciana V. [UNIFESP] Arana, Andrea |
description |
We use the GLOMAP global aerosol model evaluated against observations of surface particulate matter (PM2.5) and aerosol optical depth (AOD) to better understand the impacts of biomass burning on tropical aerosol over the period 2003 to 2011. Previous studies report a large underestimation of AOD over regions impacted by tropical biomass burning, scaling particulate emissions from fire by up to a factor of 6 to enable the models to simulate observed AOD. To explore the uncertainty in emissions we use three satellite-derived fire emission datasets (GFED3, GFAS1 and FINN1). In these datasets the tropics account for 66-84% of global particulate emissions from fire. With all emission datasets GLOMAP underestimates dry season PM2.5 concentrations in regions of high fire activity in South America and underestimates AOD over South America, Africa and Southeast Asia. When we assume an upper estimate of aerosol hygroscopicity, underestimation of AOD over tropical regions impacted by biomass burning is reduced relative to previous studies. Where coincident observations of surface PM2.5 and AOD are available we find a greater model underestimation of AOD than PM2.5, even when we assume an upper estimate of aerosol hygroscopicity. Increasing particulate emissions to improve simulation of AOD can therefore lead to overestimation of surface PM2.5 concentrations. We find that scaling FINN1 emissions by a factor of 1.5 prevents underestimation of AOD and surface PM2.5 in most tropical locations except Africa. GFAS1 requires emission scaling factor of 3.4 in most locations with the exception of equatorial Asia where a scaling factor of 1.5 is adequate. Scaling GFED3 emissions by a factor of 1.5 is sufficient in active deforestation regions of South America and equatorial Asia, but a larger scaling factor is required elsewhere. The model with GFED3 emissions poorly simulates observed seasonal variability in surface PM2.5 and AOD in regions where small fires dominate, providing independent evidence that GFED3 underestimates particulate emissions from small fires. Seasonal variability in both PM2.5 and AOD is better simulated by the model using FINN1 emissions. Detailed observations of aerosol properties over biomass burning regions are required to better constrain particulate emissions from fires. |
publishDate |
2016 |
dc.date.issued.fl_str_mv |
2016 |
dc.date.accessioned.fl_str_mv |
2019-07-22T15:46:35Z |
dc.date.available.fl_str_mv |
2019-07-22T15:46:35Z |
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.citation.fl_str_mv |
Atmospheric Chemistry And Physics. Gottingen, v. 16, n. 17, p. 11083-11106, 2016. |
dc.identifier.uri.fl_str_mv |
http://repositorio.unifesp.br/handle/11600/50973 http://dx.doi.org/10.5194/acp-16-11083-2016 |
dc.identifier.issn.none.fl_str_mv |
1680-7316 |
dc.identifier.file.none.fl_str_mv |
WOS000383963600002.pdf |
dc.identifier.doi.none.fl_str_mv |
10.5194/acp-16-11083-2016 |
dc.identifier.wos.none.fl_str_mv |
WOS:000383963600002 |
identifier_str_mv |
Atmospheric Chemistry And Physics. Gottingen, v. 16, n. 17, p. 11083-11106, 2016. 1680-7316 WOS000383963600002.pdf 10.5194/acp-16-11083-2016 WOS:000383963600002 |
url |
http://repositorio.unifesp.br/handle/11600/50973 http://dx.doi.org/10.5194/acp-16-11083-2016 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
11083-11106 |
dc.publisher.none.fl_str_mv |
Copernicus Gesellschaft Mbh |
publisher.none.fl_str_mv |
Copernicus Gesellschaft Mbh |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UNIFESP instname:Universidade Federal de São Paulo (UNIFESP) instacron:UNIFESP |
instname_str |
Universidade Federal de São Paulo (UNIFESP) |
instacron_str |
UNIFESP |
institution |
UNIFESP |
reponame_str |
Repositório Institucional da UNIFESP |
collection |
Repositório Institucional da UNIFESP |
repository.name.fl_str_mv |
Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP) |
repository.mail.fl_str_mv |
|
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1802764195428564992 |