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Characterization of the radiative impact of aerosols on CO2 and energy fluxes in the Amazon deforestation arch using artificial neural networks
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 enhance...
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Published in: | Atmospheric chemistry and physics 2020-03, Vol.20 (6), p.3439-3458 |
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creator | Braghiere, Renato Kerches Marcia Akemi Yamasoe Nilton Manuel Évora do Rosário Humberto Ribeiro da Rocha de Souza Nogueira, José Alessandro Carioca de Araújo |
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. CO2 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. |
doi_str_mv | 10.5194/acp-20-3439-2020 |
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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. CO2 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.</description><identifier>ISSN: 1680-7316</identifier><identifier>EISSN: 1680-7324</identifier><identifier>DOI: 10.5194/acp-20-3439-2020</identifier><language>eng</language><publisher>Katlenburg-Lindau: Copernicus GmbH</publisher><subject>Aerosol effects ; Aerosol optical depth ; Aerosols ; Arches ; Architecture ; Artificial neural networks ; Atmosphere ; Atmospheric aerosols ; Atmospheric models ; Biogeochemistry ; Biomass burning ; Burning ; Canopies ; Canopy ; Carbon ; Carbon dioxide ; Carbon dioxide exchange ; Carbon fixation ; Deforestation ; Earth ; Ecosystems ; Energy ; Energy transfer ; Exchanging ; Fluxes ; Greenhouse gases ; Machine learning ; Neural networks ; Optical analysis ; Optical thickness ; Particle size ; Photosynthesis ; Principal components analysis ; Productivity ; Radiative transfer ; Solar radiation ; Surface fluxes ; Vegetation</subject><ispartof>Atmospheric chemistry and physics, 2020-03, Vol.20 (6), p.3439-3458</ispartof><rights>2020. 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analysis</subject><subject>Optical thickness</subject><subject>Particle size</subject><subject>Photosynthesis</subject><subject>Principal components analysis</subject><subject>Productivity</subject><subject>Radiative transfer</subject><subject>Solar radiation</subject><subject>Surface 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impact of aerosols on CO2 and energy fluxes in the Amazon deforestation arch using artificial neural networks</title><author>Braghiere, Renato Kerches ; Marcia Akemi Yamasoe ; Nilton Manuel Évora do Rosário ; Humberto Ribeiro da Rocha ; de Souza Nogueira, José ; Alessandro Carioca de Araújo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-d249t-d35cf7c7a040fcdf9e1e47048e46679f46658fd90155dc8aa2ce3915ffac2db13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aerosol effects</topic><topic>Aerosol optical depth</topic><topic>Aerosols</topic><topic>Arches</topic><topic>Architecture</topic><topic>Artificial neural networks</topic><topic>Atmosphere</topic><topic>Atmospheric aerosols</topic><topic>Atmospheric models</topic><topic>Biogeochemistry</topic><topic>Biomass 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subjects | Aerosol effects Aerosol optical depth Aerosols Arches Architecture Artificial neural networks Atmosphere Atmospheric aerosols Atmospheric models Biogeochemistry Biomass burning Burning Canopies Canopy Carbon Carbon dioxide Carbon dioxide exchange Carbon fixation Deforestation Earth Ecosystems Energy Energy transfer Exchanging Fluxes Greenhouse gases Machine learning Neural networks Optical analysis Optical thickness Particle size Photosynthesis Principal components analysis Productivity Radiative transfer Solar radiation Surface fluxes Vegetation |
title | Characterization of the radiative impact of aerosols on CO2 and energy fluxes in the Amazon deforestation arch using artificial neural networks |
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