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Biogeosciences An interactive open-access journal of the European Geosciences Union
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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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Articles | Volume 14, issue 7
Biogeosciences, 14, 1857–1882, 2017
https://doi.org/10.5194/bg-14-1857-2017
Biogeosciences, 14, 1857–1882, 2017
https://doi.org/10.5194/bg-14-1857-2017

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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