Characterization of the radiative impact of aerosols on CO2 and energy fluxes in the Amazon deforestation arch using artificial neural networks

Detalhes bibliográficos
Autor(a) principal: Kerches Braghiere, Renato
Data de Publicação: 2020
Outros Autores: Yamasoe, Márcia Akemi, Manuel Évora do Rosário, Nilton, Rocha, Humberto Ribeiro da, de Souza Nogueira, Jose, Araüjo, Alessandro Carioca de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional do INPA
Texto Completo: https://repositorio.inpa.gov.br/handle/1/15450
Resumo: In vegetation canopies with complex architectures, diffuse solar radiation can enhance carbon assimilation through photosynthesis because isotropic light is able to reach deeper layers of the canopy. Although this effect has been studied in the past decade, the mechanisms and impacts of this enhancement over South America remain poorly understood. Over the Amazon deforestation arch large amounts of aerosols are released into the atmosphere due to biomass burning, which provides an ideal scenario for further investigation of this phenomenon in the presence of canopies with complex architecture. In this paper, the relation of aerosol optical depth and surface fluxes of mass and energy are evaluated over three study sites with artificial neural networks and radiative transfer modeling. Results indicate a significant effect of the aerosol on the flux of carbon dioxide between the vegetation and the atmosphere, as well as on energy exchange, including that surface fluxes are sensitive to second-order radiative impacts of aerosols on temperature, humidity, and friction velocity. <span classCombining double low line"inline-formula">CO2</span> exchanges increased in the presence of aerosol in up to 55 % in sites with complex canopy architecture. A decrease of approximately 12 % was observed for a site with shorter vegetation. Energy fluxes were negatively impacted by aerosols over all study sites.. © 2020 BMJ Publishing Group. All rights reserved.
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spelling Kerches Braghiere, RenatoYamasoe, Márcia AkemiManuel Évora do Rosário, NiltonRocha, Humberto Ribeiro dade Souza Nogueira, JoseAraüjo, Alessandro Carioca de2020-05-14T14:27:38Z2020-05-14T14:27:38Z2020https://repositorio.inpa.gov.br/handle/1/1545010.5194/acp-20-3439-2020In vegetation canopies with complex architectures, diffuse solar radiation can enhance carbon assimilation through photosynthesis because isotropic light is able to reach deeper layers of the canopy. Although this effect has been studied in the past decade, the mechanisms and impacts of this enhancement over South America remain poorly understood. Over the Amazon deforestation arch large amounts of aerosols are released into the atmosphere due to biomass burning, which provides an ideal scenario for further investigation of this phenomenon in the presence of canopies with complex architecture. In this paper, the relation of aerosol optical depth and surface fluxes of mass and energy are evaluated over three study sites with artificial neural networks and radiative transfer modeling. Results indicate a significant effect of the aerosol on the flux of carbon dioxide between the vegetation and the atmosphere, as well as on energy exchange, including that surface fluxes are sensitive to second-order radiative impacts of aerosols on temperature, humidity, and friction velocity. <span classCombining double low line"inline-formula">CO2</span> exchanges increased in the presence of aerosol in up to 55 % in sites with complex canopy architecture. A decrease of approximately 12 % was observed for a site with shorter vegetation. Energy fluxes were negatively impacted by aerosols over all study sites.. © 2020 BMJ Publishing Group. All rights reserved.Volume 20, Número 6, Pags. 3439-3458Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessAerosol PropertyArtificial Neural NetworkAtmospheric ModelingBiomass-burningCanopy ArchitectureCarbon DioxideCarbon FluxComplexityDeforestationEnergy FluxOptical DepthRadiative TransferSouth AmericaCharacterization of the radiative impact of aerosols on CO2 and energy fluxes in the Amazon deforestation arch using artificial neural networksinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleAtmospheric Chemistry and Physicsengreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALartigo-inpa6.pdfartigo-inpa6.pdfapplication/pdf13106479https://repositorio.inpa.gov.br/bitstream/1/15450/1/artigo-inpa6.pdfd8a59b41e790e635f589d412e2d6953aMD511/154502020-05-27 18:11:51.367oai:repositorio:1/15450Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-05-27T22:11:51Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false
dc.title.en.fl_str_mv Characterization of the radiative impact of aerosols on CO2 and energy fluxes in the Amazon deforestation arch using artificial neural networks
title Characterization of the radiative impact of aerosols on CO2 and energy fluxes in the Amazon deforestation arch using artificial neural networks
spellingShingle Characterization of the radiative impact of aerosols on CO2 and energy fluxes in the Amazon deforestation arch using artificial neural networks
Kerches Braghiere, Renato
Aerosol Property
Artificial Neural Network
Atmospheric Modeling
Biomass-burning
Canopy Architecture
Carbon Dioxide
Carbon Flux
Complexity
Deforestation
Energy Flux
Optical Depth
Radiative Transfer
South America
title_short Characterization of the radiative impact of aerosols on CO2 and energy fluxes in the Amazon deforestation arch using artificial neural networks
title_full Characterization of the radiative impact of aerosols on CO2 and energy fluxes in the Amazon deforestation arch using artificial neural networks
title_fullStr Characterization of the radiative impact of aerosols on CO2 and energy fluxes in the Amazon deforestation arch using artificial neural networks
title_full_unstemmed Characterization of the radiative impact of aerosols on CO2 and energy fluxes in the Amazon deforestation arch using artificial neural networks
title_sort Characterization of the radiative impact of aerosols on CO2 and energy fluxes in the Amazon deforestation arch using artificial neural networks
author Kerches Braghiere, Renato
author_facet Kerches Braghiere, Renato
Yamasoe, Márcia Akemi
Manuel Évora do Rosário, Nilton
Rocha, Humberto Ribeiro da
de Souza Nogueira, Jose
Araüjo, Alessandro Carioca de
author_role author
author2 Yamasoe, Márcia Akemi
Manuel Évora do Rosário, Nilton
Rocha, Humberto Ribeiro da
de Souza Nogueira, Jose
Araüjo, Alessandro Carioca de
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Kerches Braghiere, Renato
Yamasoe, Márcia Akemi
Manuel Évora do Rosário, Nilton
Rocha, Humberto Ribeiro da
de Souza Nogueira, Jose
Araüjo, Alessandro Carioca de
dc.subject.eng.fl_str_mv Aerosol Property
Artificial Neural Network
Atmospheric Modeling
Biomass-burning
Canopy Architecture
Carbon Dioxide
Carbon Flux
Complexity
Deforestation
Energy Flux
Optical Depth
Radiative Transfer
South America
topic Aerosol Property
Artificial Neural Network
Atmospheric Modeling
Biomass-burning
Canopy Architecture
Carbon Dioxide
Carbon Flux
Complexity
Deforestation
Energy Flux
Optical Depth
Radiative Transfer
South America
description In vegetation canopies with complex architectures, diffuse solar radiation can enhance carbon assimilation through photosynthesis because isotropic light is able to reach deeper layers of the canopy. Although this effect has been studied in the past decade, the mechanisms and impacts of this enhancement over South America remain poorly understood. Over the Amazon deforestation arch large amounts of aerosols are released into the atmosphere due to biomass burning, which provides an ideal scenario for further investigation of this phenomenon in the presence of canopies with complex architecture. In this paper, the relation of aerosol optical depth and surface fluxes of mass and energy are evaluated over three study sites with artificial neural networks and radiative transfer modeling. Results indicate a significant effect of the aerosol on the flux of carbon dioxide between the vegetation and the atmosphere, as well as on energy exchange, including that surface fluxes are sensitive to second-order radiative impacts of aerosols on temperature, humidity, and friction velocity. <span classCombining double low line"inline-formula">CO2</span> exchanges increased in the presence of aerosol in up to 55 % in sites with complex canopy architecture. A decrease of approximately 12 % was observed for a site with shorter vegetation. Energy fluxes were negatively impacted by aerosols over all study sites.. © 2020 BMJ Publishing Group. All rights reserved.
publishDate 2020
dc.date.accessioned.fl_str_mv 2020-05-14T14:27:38Z
dc.date.available.fl_str_mv 2020-05-14T14:27:38Z
dc.date.issued.fl_str_mv 2020
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 https://repositorio.inpa.gov.br/handle/1/15450
dc.identifier.doi.none.fl_str_mv 10.5194/acp-20-3439-2020
url https://repositorio.inpa.gov.br/handle/1/15450
identifier_str_mv 10.5194/acp-20-3439-2020
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv Volume 20, Número 6, Pags. 3439-3458
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivs 3.0 Brazil
http://creativecommons.org/licenses/by-nc-nd/3.0/br/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivs 3.0 Brazil
http://creativecommons.org/licenses/by-nc-nd/3.0/br/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Atmospheric Chemistry and Physics
publisher.none.fl_str_mv Atmospheric Chemistry and Physics
dc.source.none.fl_str_mv reponame:Repositório Institucional do INPA
instname:Instituto Nacional de Pesquisas da Amazônia (INPA)
instacron:INPA
instname_str Instituto Nacional de Pesquisas da Amazônia (INPA)
instacron_str INPA
institution INPA
reponame_str Repositório Institucional do INPA
collection Repositório Institucional do INPA
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