Articles | Volume 15, issue 6
Geosci. Model Dev., 15, 2599–2617, 2022
https://doi.org/10.5194/gmd-15-2599-2022
Geosci. Model Dev., 15, 2599–2617, 2022
https://doi.org/10.5194/gmd-15-2599-2022
Methods for assessment of models
30 Mar 2022
Methods for assessment of models | 30 Mar 2022

Constraining a land cover map with satellite-based aboveground biomass estimates over Africa

Guillaume Marie et al.

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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 gmd-2021-93', Anonymous Referee #1, 17 Sep 2021
    • AC1: 'Reply on RC1', guillaume Marie, 21 Oct 2021
  • RC2: 'Comment on gmd-2021-93', Anonymous Referee #2, 05 Oct 2021
    • AC2: 'Reply on RC2', guillaume Marie, 21 Oct 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by guillaume Marie on behalf of the Authors (18 Jan 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to minor revisions (review by editor) (22 Jan 2022) by Carlos Sierra
AR by guillaume Marie on behalf of the Authors (24 Jan 2022)  Author's response    Manuscript
ED: Publish as is (31 Jan 2022) by Carlos Sierra
AR by guillaume Marie on behalf of the Authors (21 Feb 2022)  Author's response    Manuscript
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Short summary
Most Earth system models make use of vegetation maps to initialize a simulation at global scale. Satellite-based biomass map estimates for Africa were used to estimate cover fractions for the 15 land cover classes. This study successfully demonstrates that satellite-based biomass maps can be used to better constrain vegetation maps. Applying this approach at the global scale would increase confidence in assessments of present-day biomass stocks.