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

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Xiaohua Pan on behalf of the Authors (04 Nov 2019)  Author's response   Manuscript 
ED: Publish subject to minor revisions (review by editor) (22 Nov 2019) by Dominick Spracklen
AR by Xiaohua Pan on behalf of the Authors (02 Dec 2019)  Author's response   Manuscript 
ED: Publish as is (06 Dec 2019) by Dominick Spracklen
AR by Xiaohua Pan on behalf of the Authors (19 Dec 2019)
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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.
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