Articles | Volume 14, issue 7
Research article
06 Apr 2017
Research article |  | 06 Apr 2017

A data–model synthesis to explain variability in calcification observed during a CO2 perturbation mesocosm experiment

Shubham Krishna and Markus Schartau


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (21 Dec 2016) by Jack Middelburg
AR by Svenja Lange on behalf of the Authors (01 Feb 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (03 Feb 2017) by Jack Middelburg
RR by Anonymous Referee #1 (20 Feb 2017)
ED: Publish subject to technical corrections (27 Feb 2017) by Jack Middelburg
Short summary
This study combines experimental data with results from numerical modelling. Data of an ocean acidification mesocosm experiment are used to constrain parameter values of a plankton model. Three different intensities of calcification are resolved with ensembles of optimised model results. Observed variability in data can be well explained by these ensemble model solutions. The simulated ocean acidification effect on calcification is small compared to the spread of the ensemble model solutions.
Final-revised paper