Articles | Volume 21, issue 3
Research article
16 Feb 2024
Research article |  | 16 Feb 2024

Multiscale assessment of North American terrestrial carbon balance

Kelsey T. Foster, Wu Sun, Yoichi P. Shiga, Jiafu Mao, and Anna M. Michalak


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on bg-2023-111 by Guillermo Murray-Tortarolo', Guillermo Murray-Tortarolo, 07 Sep 2023
    • AC1: 'Reply on RC1', Kelsey Foster, 13 Oct 2023
  • RC2: 'Comment on bg-2023-111', Anonymous Referee #2, 15 Sep 2023
    • AC2: 'Reply on RC2', Kelsey Foster, 13 Oct 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (16 Oct 2023) by Paul Stoy
AR by Kelsey Foster on behalf of the Authors (02 Dec 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (06 Dec 2023) by Paul Stoy
RR by Xinyuan Wei (18 Dec 2023)
ED: Publish as is (19 Dec 2023) by Paul Stoy
AR by Kelsey Foster on behalf of the Authors (03 Jan 2024)

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Kelsey Foster on behalf of the Authors (08 Feb 2024)   Author's adjustment   Manuscript
EA: Adjustments approved (08 Feb 2024) by Paul Stoy
Short summary
Assessing agreement between bottom-up and top-down methods across spatial scales can provide insights into the relationship between ensemble spread (difference across models) and model accuracy (difference between model estimates and reality). We find that ensemble spread is unlikely to be a good indicator of actual uncertainty in the North American carbon balance. However, models that are consistent with atmospheric constraints show stronger agreement between top-down and bottom-up estimates.
Final-revised paper