Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 13, issue 7
Articles | Volume 13, issue 7
https://doi.org/10.5194/gmd-13-2981-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-2981-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 7
Model description paper
 | 
08 Jul 2020
Model description paper |  | 08 Jul 2020

APIFLAME v2.0 biomass burning emissions model: impact of refined input parameters on atmospheric concentration in Portugal in summer 2016

Solène Turquety, Laurent Menut, Guillaume Siour, Sylvain Mailler, Juliette Hadji-Lazaro, Maya George, Cathy Clerbaux, Daniel Hurtmans, and Pierre-François Coheur

Viewed

Total article views: 4,195 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,113 985 97 4,195 104 124 180
  • HTML: 3,113
  • PDF: 985
  • XML: 97
  • Total: 4,195
  • Supplement: 104
  • BibTeX: 124
  • EndNote: 180
Views and downloads (calculated since 08 Oct 2019)
Cumulative views and downloads (calculated since 08 Oct 2019)

Viewed (geographical distribution)

Total article views: 4,195 (including HTML, PDF, and XML) Thereof 3,810 with geography defined and 385 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 02 Dec 2025
Download
Short summary
Biomass burning emissions are a major source of trace gases and aerosols that need to be accounted for in air quality assessment and forecasting. The APIFLAME model presented in this paper allows the calculation of these emissions based on merged satellite observations at hourly time steps and kilometer scales. Implementing emissions in a chemistry transport model allows realistic simulations of fire plumes as illustrated for wildfires in Portugal in August 2016 using the CHIMERE model.
Read more
Share