Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 20, issue 6
Articles | Volume 20, issue 6
https://doi.org/10.5194/acp-20-3439-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-3439-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 6
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

Viewed

Total article views: 4,317 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,417 778 122 4,317 317 115 111
  • HTML: 3,417
  • PDF: 778
  • XML: 122
  • Total: 4,317
  • Supplement: 317
  • BibTeX: 115
  • EndNote: 111
Views and downloads (calculated since 07 Jun 2019)
Cumulative views and downloads (calculated since 07 Jun 2019)

Viewed (geographical distribution)

Total article views: 4,317 (including HTML, PDF, and XML) Thereof 3,782 with geography defined and 535 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (final revised paper)

Latest update: 23 Dec 2024
Download
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.
Read more
Altmetrics
Final-revised paper
Preprint