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


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on esd-2021-38', Anonymous Referee #1, 11 Aug 2021
    • AC1: 'Reply on RC1', István Dunkl, 09 Sep 2021
  • RC2: 'Comment on esd-2021-38', Anonymous Referee #2, 09 Sep 2021
    • AC2: 'Reply on RC2', István Dunkl, 09 Sep 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (14 Sep 2021) by Zhenghui Xie
AR by István Dunkl on behalf of the Authors (24 Sep 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (04 Oct 2021) by Zhenghui Xie
AR by István Dunkl on behalf of the Authors (12 Oct 2021)  Author's response    Manuscript
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.
Final-revised paper