Journal cover Journal topic
Biogeosciences An interactive open-access journal of the European Geosciences Union
Journal topic
Volume 14, issue 20
Biogeosciences, 14, 4767–4780, 2017
https://doi.org/10.5194/bg-14-4767-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Biogeosciences, 14, 4767–4780, 2017
https://doi.org/10.5194/bg-14-4767-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 25 Oct 2017

Research article | 25 Oct 2017

Primary production sensitivity to phytoplankton light attenuation parameter increases with transient forcing

Karin F. Kvale and Katrin J. Meissner
Viewed  
Total article views: 1,125 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
776 310 39 1,125 29 58
  • HTML: 776
  • PDF: 310
  • XML: 39
  • Total: 1,125
  • BibTeX: 29
  • EndNote: 58
Views and downloads (calculated since 13 Apr 2017)
Cumulative views and downloads (calculated since 13 Apr 2017)
Viewed (geographical distribution)  
Total article views: 1,114 (including HTML, PDF, and XML) Thereof 1,107 with geography defined and 7 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved (final revised paper)  
No saved metrics found.
Saved (discussion paper)  
No saved metrics found.
Discussed (final revised paper)  
No discussed metrics found.
Discussed (discussion paper)  
Latest update: 12 Dec 2019
Publications Copernicus
Download
Short summary
Climate models containing ocean biogeochemistry contain a lot of poorly constrained parameters, which makes model tuning difficult. For more than 20 years modellers have generally assumed phytoplankton light attenuation parameter value choice has an insignificant affect on model ocean primary production; thus, it is often overlooked for tuning. We show that an empirical range of light attenuation parameter values can affect primary production, with increasing sensitivity under climate change.
Climate models containing ocean biogeochemistry contain a lot of poorly constrained parameters,...
Citation