Articles | Volume 14, issue 7
https://doi.org/10.5194/bg-14-1857-2017
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

Viewed

Total article views: 1,954 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,140 723 91 1,954 90 97
  • HTML: 1,140
  • PDF: 723
  • XML: 91
  • Total: 1,954
  • BibTeX: 90
  • EndNote: 97
Views and downloads (calculated since 26 Sep 2016)
Cumulative views and downloads (calculated since 26 Sep 2016)

Viewed (geographical distribution)

Total article views: 1,954 (including HTML, PDF, and XML) Thereof 1,848 with geography defined and 106 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (preprint)

Latest update: 17 Apr 2024
Download
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.
Altmetrics
Final-revised paper
Preprint