Articles | Volume 16, issue 9
https://doi.org/10.5194/bg-16-1865-2019
https://doi.org/10.5194/bg-16-1865-2019
Research article
 | Highlight paper
 | 
06 May 2019
Research article | Highlight paper |  | 06 May 2019

Reciprocal bias compensation and ensuing uncertainties in model-based climate projections: pelagic biogeochemistry versus ocean mixing

Ulrike Löptien and Heiner Dietze

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (05 Feb 2019) by Katja Fennel
AR by Ulrike Loeptien on behalf of the Authors (06 Mar 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (13 Mar 2019) by Katja Fennel
RR by Anonymous Referee #2 (26 Mar 2019)
ED: Publish subject to minor revisions (review by editor) (28 Mar 2019) by Katja Fennel
AR by Ulrike Loeptien on behalf of the Authors (09 Apr 2019)  Author's response    Manuscript
ED: Publish subject to technical corrections (17 Apr 2019) by Katja Fennel
AR by Ulrike Loeptien on behalf of the Authors (18 Apr 2019)  Author's response    Manuscript
Download
Short summary
Anthropogenic greenhouse gas emissions trigger complex climate feedbacks. Output form Earth system models provides a basis for related political decision-making. One challenge is to arrive at reliable model parameter estimates for the ocean biogeochemistry module. We illustrate pitfalls through which flaws in the ocean module are masked by wrongly tuning the biogeochemistry and discuss ensuing uncertainties in climate projections.
Altmetrics
Final-revised paper
Preprint