Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 20, issue 2
Articles | Volume 20, issue 2
https://doi.org/10.5194/acp-20-969-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-969-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 2
Research article
 | 
27 Jan 2020
Research article |  | 27 Jan 2020

Six global biomass burning emission datasets: intercomparison and application in one global aerosol model

Xiaohua Pan, Charles Ichoku, Mian Chin, Huisheng Bian, Anton Darmenov, Peter Colarco, Luke Ellison, Tom Kucsera, Arlindo da Silva, Jun Wang, Tomohiro Oda, and Ge Cui

Viewed

Total article views: 8,450 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
5,913 2,423 114 8,450 586 137 218
  • HTML: 5,913
  • PDF: 2,423
  • XML: 114
  • Total: 8,450
  • Supplement: 586
  • BibTeX: 137
  • EndNote: 218
Views and downloads (calculated since 08 Jul 2019)
Cumulative views and downloads (calculated since 08 Jul 2019)

Viewed (geographical distribution)

Total article views: 8,450 (including HTML, PDF, and XML) Thereof 8,290 with geography defined and 160 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Nov 2025
Download
Short summary
The differences between these six BB emission datasets are large. Our study found that (1) most current biomass burning (BB) aerosol emission datasets derived from satellite observations lead to the underestimation of aerosol optical depth (AOD) in this model in the biomass-burning-dominated regions and (2) it is important to accurately estimate both the magnitudes and spatial patterns of regional BB emissions in order for a model using these emissions to reproduce observed AOD levels.
Read more
Share
Altmetrics
Final-revised paper
Preprint