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

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

doi:https://doi.org/10.5194/acp-20-969-2020

Articles | Volume 20, issue 2

Atmos. Chem. Phys., 20, 969–994, 2020

https://doi.org/10.5194/acp-20-969-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Atmos. Chem. Phys., 20, 969–994, 2020

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 et al.

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Final revised paper (published on 27 Jan 2020)
Supplement to the final revised paper
Preprint (discussion started on 08 Jul 2019)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review', Anonymous Referee #1, 16 Aug 2019
- AC1: 'Response to Referee #1', Xiaohua Pan, 30 Oct 2019
RC2: 'Review of “Six Global Biomass Burning Emission Datasets: Inter-comparison and Application in one Global Aerosol Model” by Pan et al.', Mark Parrington, 17 Sep 2019
- AC2: 'Response to Referee #2', Xiaohua Pan, 30 Oct 2019

Peer-review completion

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

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.