Journal cover Journal topic
Biogeosciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 3.480
IF3.480
IF 5-year value: 4.194
IF 5-year
4.194
CiteScore value: 6.7
CiteScore
6.7
SNIP value: 1.143
SNIP1.143
IPP value: 3.65
IPP3.65
SJR value: 1.761
SJR1.761
Scimago H <br class='widget-line-break'>index value: 118
Scimago H
index
118
h5-index value: 60
h5-index60
BG | Articles | Volume 15, issue 21
Biogeosciences, 15, 6685–6711, 2018
https://doi.org/10.5194/bg-15-6685-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Biogeosciences, 15, 6685–6711, 2018
https://doi.org/10.5194/bg-15-6685-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 12 Nov 2018

Research article | 12 Nov 2018

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

Prima Anugerahanti et al.

Viewed

Total article views: 1,358 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
962 372 24 1,358 127 24 26
  • HTML: 962
  • PDF: 372
  • XML: 24
  • Total: 1,358
  • Supplement: 127
  • BibTeX: 24
  • EndNote: 26
Views and downloads (calculated since 05 Apr 2018)
Cumulative views and downloads (calculated since 05 Apr 2018)

Viewed (geographical distribution)

Total article views: 1,325 (including HTML, PDF, and XML) Thereof 1,302 with geography defined and 23 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

No saved metrics found.

Saved (preprint)

No saved metrics found.

Discussed (final revised paper)

No discussed metrics found.

Discussed (preprint)

Latest update: 24 Oct 2020
Publications Copernicus
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.
Minor changes in the biogeochemical model equations lead to major dynamical changes. We assessed...
Citation
Altmetrics
Final-revised paper
Preprint