Articles | Volume 22, issue 3
https://doi.org/10.5194/os-22-1457-2026
https://doi.org/10.5194/os-22-1457-2026
Review article
 | Highlight paper
 | 
11 May 2026
Review article | Highlight paper |  | 11 May 2026

Modelling primary production: multitude of theories, or multitude of languages?

Jozef Skákala, Shubha Sathyendranath, Yuri Artioli, Deep S. Banerjee, Heather Bouman, Robert J. W. Brewin, Momme Butenschön, Stefano Ciavatta, Stephanie Dutkiewicz, Yanna Fidai, David Ford, Grinson George, Karen Guihou, Bror Jönsson, Marija Bačeković Koloper, Žarko Kovač, Lekshmi Krishnakumary, Gemma Kulk, Charlotte Laufkötter, Gennadi Lessin, Jann Paul Mattern, Angélique Melet, Alexandre Mignot, David Moffat, Fanny Monteiro, Mayra Rodriguez Bennadji, Cécile S. Rousseaux, Ranjini Swaminathan, Osvaldo Ulloa, and Jerry Tjiputra

Viewed

Total article views: 3,710 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,152 1,361 197 3,710 264 307
  • HTML: 2,152
  • PDF: 1,361
  • XML: 197
  • Total: 3,710
  • BibTeX: 264
  • EndNote: 307
Views and downloads (calculated since 29 Dec 2025)
Cumulative views and downloads (calculated since 29 Dec 2025)

Viewed (geographical distribution)

Total article views: 3,710 (including HTML, PDF, and XML) Thereof 3,690 with geography defined and 20 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 11 May 2026
Download
Editorial statement
This paper tackles uncertainty in modelling marine primary production. This is a globally important problem that is fundamental to marine biogeochemistry and climate projections. It will likely be of broad interest within the wider oceanographic community but also beyond, as it has a broader relevance to the carbon cycle. The paper attempts to reconcile two different modelling approaches on a fundamental level.
Short summary
Marine primary production (PP) is a key component of the Earth's climate system, but its current estimates and future projections are highly uncertain. We review the PP uncertainties and discuss their sources both across the ecosystem and satellite models. We propose to reduce the PP uncertainties by better addressing the PP model structures and parametrizations. We also argue that for many models it is desirable to consider spatial and temporal variability in the model parameter values.
Share