Articles | Volume 19, issue 7
https://doi.org/10.5194/bg-19-2059-2022
https://doi.org/10.5194/bg-19-2059-2022
Research article
 | 
14 Apr 2022
Research article |  | 14 Apr 2022

Sensitivity of biomass burning emissions estimates to land surface information

Makoto Saito, Tomohiro Shiraishi, Ryuichi Hirata, Yosuke Niwa, Kazuyuki Saito, Martin Steinbacher, Doug Worthy, and Tsuneo Matsunaga

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on bg-2021-130', Anonymous Referee #1, 28 Jun 2021
  • RC2: 'Comment on bg-2021-130', Anonymous Referee #2, 18 Jul 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (24 Aug 2021) by Kirsten Thonicke
AR by Makoto Saito on behalf of the Authors (15 Nov 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (02 Dec 2021) by Kirsten Thonicke
RR by Anonymous Referee #2 (14 Dec 2021)
RR by Anonymous Referee #1 (14 Dec 2021)
ED: Publish subject to minor revisions (review by editor) (07 Jan 2022) by Kirsten Thonicke
AR by Makoto Saito on behalf of the Authors (10 Jan 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (08 Mar 2022) by Kirsten Thonicke
AR by Makoto Saito on behalf of the Authors (08 Mar 2022)
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Short summary
This study tested combinations of two sources of AGB data and two sources of LCC data and used the same burned area satellite data to estimate BB CO emissions. Our analysis showed large discrepancies in annual mean CO emissions and explicit differences in the simulated CO concentrations among the BB emissions estimates. This study has confirmed that BB emissions estimates are sensitive to the land surface information on which they are based.
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