Biogeosciences
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Articles | Volume 14, issue 7
Articles | Volume 14, issue 7
https://doi.org/10.5194/bg-14-1857-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-14-1857-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
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

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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.
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