Articles | Volume 22, issue 17
Research article
31 Aug 2022
Research article |  | 31 Aug 2022

Satellite-based evaluation of AeroCom model bias in biomass burning regions

Qirui Zhong, Nick Schutgens, Guido van der Werf, Twan van Noije, Kostas Tsigaridis, Susanne E. Bauer, Tero Mielonen, Alf Kirkevåg, Øyvind Seland, Harri Kokkola, Ramiro Checa-Garcia, David Neubauer, Zak Kipling, Hitoshi Matsui, Paul Ginoux, Toshihiko Takemura, Philippe Le Sager, Samuel Rémy, Huisheng Bian, Mian Chin, Kai Zhang, Jialei Zhu, Svetlana G. Tsyro, Gabriele Curci, Anna Protonotariou, Ben Johnson, Joyce E. Penner, Nicolas Bellouin, Ragnhild B. Skeie, and Gunnar Myhre


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-96', Anonymous Referee #1, 30 Mar 2022
    • AC1: 'Reply on RC1', Qirui Zhong, 29 May 2022
  • RC2: 'Comment on acp-2022-96', Anonymous Referee #2, 11 May 2022
    • AC2: 'Reply on RC2', Qirui Zhong, 29 May 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Qirui Zhong on behalf of the Authors (29 May 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (11 Jun 2022) by N'Datchoh Evelyne Touré
RR by Anonymous Referee #1 (21 Jun 2022)
RR by Anonymous Referee #2 (27 Jun 2022)
ED: Publish as is (14 Jul 2022) by N'Datchoh Evelyne Touré
AR by Qirui Zhong on behalf of the Authors (17 Jul 2022)  Author's response   Manuscript 
Short summary
Aerosol optical depth (AOD) errors for biomass burning aerosol (BBA) are evaluated in 18 global models against satellite datasets. Notwithstanding biases in satellite products, they allow model evaluations. We observe large and diverse model biases due to errors in BBA. Further interpretations of AOD diversities suggest large biases exist in key processes for BBA which require better constraining. These results can contribute to further model improvement and development.
Final-revised paper