GSTDTAP  > 地球科学
DOI10.5194/acp-20-3439-2020
Characterization of the radiative impact of aerosols on CO2 and energy fluxes in the Amazon deforestation arch using artificial neural networks
Braghiere, Renato Kerches1,2,3,8; Yamasoe, Marcia Akemi3; Evora do Rosario, Nilton Manuel4; da Rocha, Humberto Ribeiro3; Nogueira, Jose de Souza5; de Araujo, Alessandro Carioca6,7
2020-03-24
发表期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
ISSN1680-7316
EISSN1680-7324
出版年2020
卷号20期号:6页码:3439-3458
文章类型Article
语种英语
国家USA; Brazil
英文摘要

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.


领域地球科学
收录类别SCI-E
WOS记录号WOS:000521948300001
WOS关键词BIOMASS BURNING AEROSOLS ; DIFFUSE-RADIATION ; ATMOSPHERIC PARTICLES ; FOREST PRODUCTIVITY ; CLOUDS ; MODEL ; SATELLITE
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/278703
专题地球科学
作者单位1.CALTECH, Jet Prop Lab, 4800 Oak Grove Dr, Pasadena, CA 91109 USA;
2.Univ Calif Los Angeles, Joint Inst Reg Earth Syst Sci & Engn, Los Angeles, CA 90095 USA;
3.Univ Sao Paulo, Dept Ciencias Atmosfer, Inst Astron Geofis & Ciencias Atmosfer, Sao Paulo, Brazil;
4.Univ Fed Sao Paulo, Lab Clima & Poluicao Ar LabClip, Inst Ciencias Ambientais Quim & Farmaceut, Diadema, Brazil;
5.Univ Fed Mato Grosso, Inst Fis, Mato Grosso, Brazil;
6.Embrapa Amazonia Oriental, Travessa Dr Eneas Pinheiro S-N,Caixa Postal 48, BR-66095100 Belem, Para, Brazil;
7.INPA, Large Scale Biosphere Atmosphere Expt Amazonia LB, Ave Andre Araujo 2936, BR-69060001 Manaus, Amazonas, Brazil;
8.NASA, Jet Prop Lab, M-S 233-305F,4800 Oak Grove Dr, Pasadena, CA 91109 USA
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Braghiere, Renato Kerches,Yamasoe, Marcia Akemi,Evora do Rosario, Nilton Manuel,et al. Characterization of the radiative impact of aerosols on CO2 and energy fluxes in the Amazon deforestation arch using artificial neural networks[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2020,20(6):3439-3458.
APA Braghiere, Renato Kerches,Yamasoe, Marcia Akemi,Evora do Rosario, Nilton Manuel,da Rocha, Humberto Ribeiro,Nogueira, Jose de Souza,&de Araujo, Alessandro Carioca.(2020).Characterization of the radiative impact of aerosols on CO2 and energy fluxes in the Amazon deforestation arch using artificial neural networks.ATMOSPHERIC CHEMISTRY AND PHYSICS,20(6),3439-3458.
MLA Braghiere, Renato Kerches,et al."Characterization of the radiative impact of aerosols on CO2 and energy fluxes in the Amazon deforestation arch using artificial neural networks".ATMOSPHERIC CHEMISTRY AND PHYSICS 20.6(2020):3439-3458.
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