Articles | Volume 11, issue 4
https://doi.org/10.5194/os-11-573-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/os-11-573-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
20 Jul 2015
Research article |
| 20 Jul 2015
Constraining parameters in marine pelagic ecosystem models – is it actually feasible with typical observations of standing stocks?
U. Löptien
GEOMAR Helmholtz Centre for Ocean Research Kiel, Düsternbrooker Weg 20, 24105 Kiel, Germany
H. Dietze
GEOMAR Helmholtz Centre for Ocean Research Kiel, Düsternbrooker Weg 20, 24105 Kiel, Germany
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Cited
17 citations as recorded by crossref.
- Effects of parameter indeterminacy in pelagic biogeochemical modules of Earth System Models on projections into a warming future: The scale of the problem U. Löptien & H. Dietze 10.1002/2017GB005690
- Biogeography of zooplankton feeding strategy A. Prowe et al. 10.1002/lno.11067
- Silicon Isotopes in an EMIC's Ocean: Sensitivity to Runoff, Iron Supply, and Climate H. Dietze et al. 10.1029/2020PA003960
- Reciprocal bias compensation and ensuing uncertainties in model-based climate projections: pelagic biogeochemistry versus ocean mixing U. Löptien & H. Dietze 10.5194/bg-16-1865-2019
- Simulating natural carbon sequestration in the Southern Ocean: on uncertainties associated with eddy parameterizations and iron deposition H. Dietze et al. 10.5194/bg-14-1561-2017
- Reviews and syntheses: parameter identification in marine planktonic ecosystem modelling M. Schartau et al. 10.5194/bg-14-1647-2017
- Influence of GEOTRACES data distribution and misfit function choice on objective parameter retrieval in a marine zinc cycle model C. Eisenring et al. 10.5194/bg-19-5079-2022
- Taxon-specific phytoplankton growth, nutrient utilization and light limitation in the oligotrophic Gulf of Mexico N. Yingling et al. 10.1093/plankt/fbab028
- Quantifying biological carbon pump pathways with a data-constrained mechanistic model ensemble approach M. Stukel et al. 10.5194/bg-19-3595-2022
- Calibrating a global three-dimensional biogeochemical ocean model (MOPS-1.0) I. Kriest et al. 10.5194/gmd-10-127-2017
- Error assessment of biogeochemical models by lower bound methods (NOMMA-1.0) V. Sauerland et al. 10.5194/gmd-11-1181-2018
- Extracting phytoplankton physiological traits from batch and chemostat culture data A. Omta et al. 10.1002/lom3.10172
- Calibration of a simple and a complex model of global marine biogeochemistry I. Kriest 10.5194/bg-14-4965-2017
- Assimilating bio-optical glider data during a phytoplankton bloom in the southern Ross Sea D. Kaufman et al. 10.5194/bg-15-73-2018
- Cyanobacteria blooms in the Baltic Sea: a review of models and facts B. Munkes et al. 10.5194/bg-18-2347-2021
- Mapping manifestations of parametric uncertainty in projected pelagic oxygen concentrations back to contemporary local model fidelity U. Löptien et al. 10.1038/s41598-021-00334-2
- MOMSO 1.0 – an eddying Southern Ocean model configuration with fairly equilibrated natural carbon H. Dietze et al. 10.5194/gmd-13-71-2020
17 citations as recorded by crossref.
- Effects of parameter indeterminacy in pelagic biogeochemical modules of Earth System Models on projections into a warming future: The scale of the problem U. Löptien & H. Dietze 10.1002/2017GB005690
- Biogeography of zooplankton feeding strategy A. Prowe et al. 10.1002/lno.11067
- Silicon Isotopes in an EMIC's Ocean: Sensitivity to Runoff, Iron Supply, and Climate H. Dietze et al. 10.1029/2020PA003960
- Reciprocal bias compensation and ensuing uncertainties in model-based climate projections: pelagic biogeochemistry versus ocean mixing U. Löptien & H. Dietze 10.5194/bg-16-1865-2019
- Simulating natural carbon sequestration in the Southern Ocean: on uncertainties associated with eddy parameterizations and iron deposition H. Dietze et al. 10.5194/bg-14-1561-2017
- Reviews and syntheses: parameter identification in marine planktonic ecosystem modelling M. Schartau et al. 10.5194/bg-14-1647-2017
- Influence of GEOTRACES data distribution and misfit function choice on objective parameter retrieval in a marine zinc cycle model C. Eisenring et al. 10.5194/bg-19-5079-2022
- Taxon-specific phytoplankton growth, nutrient utilization and light limitation in the oligotrophic Gulf of Mexico N. Yingling et al. 10.1093/plankt/fbab028
- Quantifying biological carbon pump pathways with a data-constrained mechanistic model ensemble approach M. Stukel et al. 10.5194/bg-19-3595-2022
- Calibrating a global three-dimensional biogeochemical ocean model (MOPS-1.0) I. Kriest et al. 10.5194/gmd-10-127-2017
- Error assessment of biogeochemical models by lower bound methods (NOMMA-1.0) V. Sauerland et al. 10.5194/gmd-11-1181-2018
- Extracting phytoplankton physiological traits from batch and chemostat culture data A. Omta et al. 10.1002/lom3.10172
- Calibration of a simple and a complex model of global marine biogeochemistry I. Kriest 10.5194/bg-14-4965-2017
- Assimilating bio-optical glider data during a phytoplankton bloom in the southern Ross Sea D. Kaufman et al. 10.5194/bg-15-73-2018
- Cyanobacteria blooms in the Baltic Sea: a review of models and facts B. Munkes et al. 10.5194/bg-18-2347-2021
- Mapping manifestations of parametric uncertainty in projected pelagic oxygen concentrations back to contemporary local model fidelity U. Löptien et al. 10.1038/s41598-021-00334-2
- MOMSO 1.0 – an eddying Southern Ocean model configuration with fairly equilibrated natural carbon H. Dietze et al. 10.5194/gmd-13-71-2020
Saved (final revised paper)
Latest update: 26 Apr 2024
Short summary
Marine biogeochemical ocean models are embedded into earth system models - which are, to an increasing degree, applied to project the fate of our warming world. These biogeochemical models generally depend on poorly constrained model parameters. In this study we investigate the the demands on observations for an objective estimation of such parameters. A major result is that even modest noise (10%) inherent to observations can hinder the assignment of reasonable parameters.
Marine biogeochemical ocean models are embedded into earth system models - which are, to an...
