Articles | Volume 11, issue 3
Geosci. Model Dev., 11, 1181–1198, 2018
https://doi.org/10.5194/gmd-11-1181-2018
Geosci. Model Dev., 11, 1181–1198, 2018
https://doi.org/10.5194/gmd-11-1181-2018

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.

Model code and software

NOMMA-1.0.1 V. Sauerland https://doi.org/10.5281/zenodo.1162769

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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.