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

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

doi:https://doi.org/10.5194/npg-28-533-2021

Articles | Volume 28, issue 4

https://doi.org/10.5194/npg-28-533-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/npg-28-533-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 28, issue 4

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

Model code and software

Supplementary material for “Identification of linear response functions from arbitrary perturbation experiments in the presence of noise - Part II. Application to the land carbon cycle in the MPI Earth System Model” Torres Mendonca, G., Pongratz, J., and Reick, C. H. http://hdl.handle.net/21.11116/0000-0008-0F06-2

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.