Articles | Volume 14, issue 21
https://doi.org/10.5194/bg-14-4965-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/bg-14-4965-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
08 Nov 2017
Research article |
| 08 Nov 2017
Calibration of a simple and a complex model of global marine biogeochemistry
GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel, Düsternbrooker Weg 20, 24105 Kiel, Germany
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23 citations as recorded by crossref.
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- Effect of Ambient Nitrogen on the Growth of Phytoplankton in the Bohai Sea: Kinetics and Parameters P. Gao et al. 10.1029/2020JG005643
- Calibration of a complex hydro-ecological model through Approximate Bayesian Computation and Random Forest combined with sensitivity analysis F. Piccioni et al. 10.1016/j.ecoinf.2022.101764
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- Resolving ecological feedbacks on the ocean carbon sink in Earth system models D. Armstrong McKay et al. 10.5194/esd-12-797-2021
- Multiobjective Calibration of a Global Biogeochemical Ocean Model Against Nutrients, Oxygen, and Oxygen Minimum Zones V. Sauerland et al. 10.1029/2018MS001510
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- Optimality-based non-Redfield plankton–ecosystem model (OPEM v1.1) in UVic-ESCM 2.9 – Part 1: Implementation and model behaviour M. Pahlow et al. 10.5194/gmd-13-4663-2020
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- Optimality-based non-Redfield plankton–ecosystem model (OPEM v1.1) in UVic-ESCM 2.9 – Part 2: Sensitivity analysis and model calibration C. Chien et al. 10.5194/gmd-13-4691-2020
- A derivative-free optimisation method for global ocean biogeochemical models S. Oliver et al. 10.5194/gmd-15-3537-2022
- A CMA‐ES Algorithm Allowing for Random Parameters in Model Calibration V. Sauerland et al. 10.1029/2022MS003390
- The Flexible Ocean and Climate Infrastructure version 1 (FOCI1): mean state and variability K. Matthes et al. 10.5194/gmd-13-2533-2020
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- Evaluating ecosystem model complexity for the northwest North Atlantic through surrogate-based optimization A. Kuhn & K. Fennel 10.1016/j.ocemod.2019.101437
- Accounting for Dissolved Organic Nutrients in an SPBEM-2 Model: Validation and Verification A. Isaev et al. 10.3390/w12051307
- Hierarchy of calibrated global models reveals improved distributions and fluxes of biogeochemical tracers in models with explicit representation of iron W. Yao et al. 10.1088/1748-9326/ab4c52
22 citations as recorded by crossref.
- Exploring the role of different data types and timescales in the quality of marine biogeochemical model calibration I. Kriest et al. 10.5194/bg-20-2645-2023
- Effect of Ambient Nitrogen on the Growth of Phytoplankton in the Bohai Sea: Kinetics and Parameters P. Gao et al. 10.1029/2020JG005643
- Calibration of a complex hydro-ecological model through Approximate Bayesian Computation and Random Forest combined with sensitivity analysis F. Piccioni et al. 10.1016/j.ecoinf.2022.101764
- Computationally efficient parameter estimation for high-dimensional ocean biogeochemical models S. Kern et al. 10.5194/gmd-17-621-2024
- Explicit silicate cycling in the Kiel Marine Biogeochemistry Model version 3 (KMBM3) embedded in the UVic ESCM version 2.9 K. Kvale et al. 10.5194/gmd-14-7255-2021
- A structure-preserving model for the dynamics of estuarine ecosystems and its application in western Patagonia fjords P. Mata Almonacid & C. Medel 10.1016/j.ecolmodel.2021.109871
- Evaluating the physical and biogeochemical state of the global ocean component of UKESM1 in CMIP6 historical simulations A. Yool et al. 10.5194/gmd-14-3437-2021
- Sensitivity of 21st-century projected ocean new production changes to idealized biogeochemical model structure G. Brett et al. 10.5194/bg-18-3123-2021
- Resolving and Parameterising the Ocean Mesoscale in Earth System Models H. Hewitt et al. 10.1007/s40641-020-00164-w
- Resolving ecological feedbacks on the ocean carbon sink in Earth system models D. Armstrong McKay et al. 10.5194/esd-12-797-2021
- Multiobjective Calibration of a Global Biogeochemical Ocean Model Against Nutrients, Oxygen, and Oxygen Minimum Zones V. Sauerland et al. 10.1029/2018MS001510
- Influence of Seasonal Variability in Flux Attenuation on Global Organic Carbon Fluxes and Nutrient Distributions F. de Melo Viríssimo et al. 10.1029/2021GB007101
- Optimality-based non-Redfield plankton–ecosystem model (OPEM v1.1) in UVic-ESCM 2.9 – Part 1: Implementation and model behaviour M. Pahlow et al. 10.5194/gmd-13-4663-2020
- Preface: Ernst Maier-Reimer and his way of modelling the ocean C. Heinze & K. Hasselmann 10.5194/bg-16-751-2019
- One size fits all? Calibrating an ocean biogeochemistry model for different circulations I. Kriest et al. 10.5194/bg-17-3057-2020
- Optimality-based non-Redfield plankton–ecosystem model (OPEM v1.1) in UVic-ESCM 2.9 – Part 2: Sensitivity analysis and model calibration C. Chien et al. 10.5194/gmd-13-4691-2020
- A derivative-free optimisation method for global ocean biogeochemical models S. Oliver et al. 10.5194/gmd-15-3537-2022
- A CMA‐ES Algorithm Allowing for Random Parameters in Model Calibration V. Sauerland et al. 10.1029/2022MS003390
- The Flexible Ocean and Climate Infrastructure version 1 (FOCI1): mean state and variability K. Matthes et al. 10.5194/gmd-13-2533-2020
- 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
- Evaluating ecosystem model complexity for the northwest North Atlantic through surrogate-based optimization A. Kuhn & K. Fennel 10.1016/j.ocemod.2019.101437
- Accounting for Dissolved Organic Nutrients in an SPBEM-2 Model: Validation and Verification A. Isaev et al. 10.3390/w12051307
Latest update: 29 Jun 2024
Short summary
Early biogeochemical ocean models were of a simple structure, with few biogeochemical components. I here investigate whether additional biological complexity improves the fit with respect to observed global climatologies of annual mean nutrients and oxygen. After optimisation against these tracers a simple model fits observations almost as well as a more complex one, also with respect to independent estimates of global biogeochemical fluxes.
Early biogeochemical ocean models were of a simple structure, with few biogeochemical...
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