Characterization of the radiative impact of aerosols on CO2 and energy fluxes in the Amazon deforestation arch using artificial neural networks
Renato Kerches Braghiere,Marcia Akemi Yamasoe,Nilton Manuel Évora do Rosário,Humberto Ribeiro da Rocha,José de Souza Nogueira,and Alessandro Carioca de Araújo
Departamento de Ciências Atmosféricas, Instituto de
Astronomia, Geofísica e Ciências Atmosféricas, Universidade de
São Paulo, São Paulo, Brazil
Nilton Manuel Évora do Rosário
Laboratório de Clima e Poluição do Ar (LabClip), Instituto de Ciências Ambientais, Químicas e Farmacêuticas, Universidade Federal de São Paulo, Diadema, Brazil
Humberto Ribeiro da Rocha
Departamento de Ciências Atmosféricas, Instituto de
Astronomia, Geofísica e Ciências Atmosféricas, Universidade de
São Paulo, São Paulo, Brazil
Embrapa Amazônia Oriental, Travessa Dr. Enéas Pinheiro, s/n,
Marco, Caixa Postal 48, Belém, Pará 66095-100, Brazil
Instituto Nacional de Pesquisas da Amazônia (INPA), Large Scale Biosphere-Atmosphere Experiment in
Amazonia (LBA), Avenida André Araújo, 2936, Manaus, Amazonas, 69060-001, Brazil
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We evaluate how the interaction of smoke with sun light impacts the exchange of energy and mass between vegetation and the atmosphere using a machine learning technique. We found an effect of the smoke on CO2, energy, and water fluxes, linking the effects of smoke with temperature, humidity, and winds. CO2 exchange increased by up to 55 % in the presence of smoke. A decrease of 12 % was observed for a site with simpler vegetation. Energy fluxes were negatively impacted for all study sites.
We evaluate how the interaction of smoke with sun light impacts the exchange of energy and mass...
