Biogeosciences
Biogeosciences
BG
Articles | Volume 15, issue 21
Articles | Volume 15, issue 21
https://doi.org/10.5194/bg-15-6685-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-15-6685-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 21
Research article
 | 
12 Nov 2018
Research article |  | 12 Nov 2018

A perturbed biogeochemistry model ensemble evaluated against in situ and satellite observations

Prima Anugerahanti, Shovonlal Roy, and Keith Haines

Viewed

Total article views: 5,359 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
4,219 1,019 121 5,359 491 131 153
  • HTML: 4,219
  • PDF: 1,019
  • XML: 121
  • Total: 5,359
  • Supplement: 491
  • BibTeX: 131
  • EndNote: 153
Views and downloads (calculated since 05 Apr 2018)
Cumulative views and downloads (calculated since 05 Apr 2018)

Viewed (geographical distribution)

Total article views: 5,359 (including HTML, PDF, and XML) Thereof 5,209 with geography defined and 150 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 04 May 2026
Download
Short summary
Minor changes in the biogeochemical model equations lead to major dynamical changes. We assessed this structural sensitivity for the MEDUSA biogeochemical model on chlorophyll and nitrogen concentrations at five oceanographic stations over 10 years, using 1-D ensembles generated by combining different process equations. The ensemble performed better than the default model in most of the stations, suggesting that our approach is useful for generating a probabilistic biogeochemical ensemble model.
Read more
Share
Altmetrics
Final-revised paper
Preprint