Process-based analysis of terrestrial carbon flux predictability

Dunkl, István; Spring, Aaron; Friedlingstein, Pierre; Brovkin, Victor

doi:https://doi.org/10.5194/esd-12-1413-2021

Articles | Volume 12, issue 4

https://doi.org/10.5194/esd-12-1413-2021

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

https://doi.org/10.5194/esd-12-1413-2021

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

Articles | Volume 12, issue 4

Research article

|

02 Dec 2021

Research article |

| 02 Dec 2021

Process-based analysis of terrestrial carbon flux predictability

István Dunkl, Aaron Spring, Pierre Friedlingstein, and Victor Brovkin

Data sets

Process-based analysis of terrestrial carbon flux predictability I. Dunkl, A. Spring, P. Friedlingstein, and V. Brovkin http://hdl.handle.net/21.11116/0000-0009-7256-6

Short summary

The variability in atmospheric CO₂ is largely controlled by terrestrial carbon fluxes. These land–atmosphere fluxes are predictable for around 2 years, but the mechanisms providing the predictability are not well understood. By decomposing the predictability of carbon fluxes into individual contributors we were able to explain the spatial and seasonal patterns and the interannual variability of CO₂ flux predictability.