Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 5.240
IF5.240
IF 5-year value: 5.768
IF 5-year
5.768
CiteScore value: 8.9
CiteScore
8.9
SNIP value: 1.713
SNIP1.713
IPP value: 5.53
IPP5.53
SJR value: 3.18
SJR3.18
Scimago H <br class='widget-line-break'>index value: 71
Scimago H
index
71
h5-index value: 51
h5-index51
Volume 11, issue 3
Geosci. Model Dev., 11, 1181–1198, 2018
https://doi.org/10.5194/gmd-11-1181-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 11, 1181–1198, 2018
https://doi.org/10.5194/gmd-11-1181-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

Methods for assessment of models 29 Mar 2018

Methods for assessment of models | 29 Mar 2018

Error assessment of biogeochemical models by lower bound methods (NOMMA-1.0)

Volkmar Sauerland et al.

Viewed

Total article views: 1,448 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,006 380 62 1,448 75 76
  • HTML: 1,006
  • PDF: 380
  • XML: 62
  • Total: 1,448
  • BibTeX: 75
  • EndNote: 76
Views and downloads (calculated since 20 Jun 2017)
Cumulative views and downloads (calculated since 20 Jun 2017)

Viewed (geographical distribution)

Total article views: 1,363 (including HTML, PDF, and XML) Thereof 1,350 with geography defined and 13 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)

No discussed metrics found.
Latest update: 30 Sep 2020
Publications Copernicus
Download
Short summary
We present a concept to prove that a parametric model is well calibrated, i.e., that changes of its free parameters cannot lead to a much better model–data misfit anymore. The intention is motivated by the fact that calibrating global biogeochemical ocean models is important for assessment and inter-model comparison but computationally expensive.
We present a concept to prove that a parametric model is well calibrated, i.e., that changes of...
Citation