Articles | Volume 20, issue 2
https://doi.org/10.5194/acp-20-969-2020
https://doi.org/10.5194/acp-20-969-2020
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: 6,628 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
4,496 2,043 89 6,628 478 99 147
  • HTML: 4,496
  • PDF: 2,043
  • XML: 89
  • Total: 6,628
  • Supplement: 478
  • BibTeX: 99
  • EndNote: 147
Views and downloads (calculated since 08 Jul 2019)
Cumulative views and downloads (calculated since 08 Jul 2019)

Viewed (geographical distribution)

Total article views: 6,628 (including HTML, PDF, and XML) Thereof 6,490 with geography defined and 138 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Nov 2024
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.
Altmetrics
Final-revised paper
Preprint