Articles | Volume 28, issue 4
https://doi.org/10.5194/npg-28-533-2021
https://doi.org/10.5194/npg-28-533-2021
Research article
 | 
14 Oct 2021
Research article |  | 14 Oct 2021

Identification of linear response functions from arbitrary perturbation experiments in the presence of noise – Part 2: Application to the land carbon cycle in the MPI Earth System Model

Guilherme L. Torres Mendonça, Julia Pongratz, and Christian H. Reick

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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 npg-2021-10', Anonymous Referee #1, 20 Apr 2021
    • AC1: 'Reply on RC1', Guilherme Torres Mendonça, 24 Apr 2021
  • RC2: 'Comment on npg-2021-10', Anonymous Referee #2, 19 May 2021
    • AC2: 'Reply on RC2', Guilherme Torres Mendonça, 13 Jun 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Guilherme Torres Mendonça on behalf of the Authors (11 Jul 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (26 Jul 2021) by Ilya Zaliapin
RR by Anonymous Referee #1 (09 Aug 2021)
ED: Publish subject to minor revisions (review by editor) (09 Aug 2021) by Ilya Zaliapin
AR by Guilherme Torres Mendonça on behalf of the Authors (19 Aug 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (01 Sep 2021) by Ilya Zaliapin
AR by Guilherme Torres Mendonça on behalf of the Authors (08 Sep 2021)  Manuscript 
Short summary
We apply a new identification method to derive the response functions that characterize the sensitivity of the land carbon cycle to CO2 perturbations in an Earth system model. By means of these response functions, which generalize the usually employed single-valued sensitivities, we can reliably predict the response of the land carbon to weak perturbations. Further, we demonstrate how by this new method one can robustly derive and interpret internal spectra of timescales of the system.