Articles | Volume 20, issue 6
https://doi.org/10.5194/acp-20-3439-2020
https://doi.org/10.5194/acp-20-3439-2020
Research article
 | 
24 Mar 2020
Research article |  | 24 Mar 2020

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

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AR by Renato Braghiere on behalf of the Authors (18 Jan 2020)  Author's response 
ED: Publish subject to technical corrections (30 Jan 2020) by Janne Rinne
AR by Renato Braghiere on behalf of the Authors (05 Feb 2020)  Manuscript 
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Short summary
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.
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