Articles | Volume 19, issue 1
Biogeosciences, 19, 29–45, 2022
https://doi.org/10.5194/bg-19-29-2022
Biogeosciences, 19, 29–45, 2022
https://doi.org/10.5194/bg-19-29-2022

Research article 03 Jan 2022

Research article | 03 Jan 2022

On the impact of canopy model complexity on simulated carbon, water, and solar-induced chlorophyll fluorescence fluxes

Yujie Wang and Christian Frankenberg

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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-2021-214', Anonymous Referee #1, 21 Sep 2021
    • AC1: 'Response to reviewer comments', Yujie Wang, 30 Oct 2021
  • RC2: 'Comment on bg-2021-214', Anonymous Referee #2, 27 Sep 2021
    • AC1: 'Response to reviewer comments', Yujie Wang, 30 Oct 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (01 Nov 2021) by Martin De Kauwe
AR by Yujie Wang on behalf of the Authors (02 Nov 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (03 Nov 2021) by Martin De Kauwe
RR by Anonymous Referee #2 (19 Nov 2021)
RR by Xiangzhong Luo (20 Nov 2021)
ED: Publish subject to technical corrections (22 Nov 2021) by Martin De Kauwe
AR by Yujie Wang on behalf of the Authors (22 Nov 2021)  Author's response    Manuscript
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Short summary
Modeling vegetation canopy is important in predicting whether the land remains a carbon sink to mitigate climate change in the near future. Vegetation canopy model complexity, however, impacts the model-predicted carbon and water fluxes as well as canopy fluorescence, even if the same suite of model inputs is used. Given the biases caused by canopy model complexity, we recommend not misusing parameters inverted using different models or assumptions.
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