Articles | Volume 17, issue 12
https://doi.org/10.5194/bg-17-3057-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-17-3057-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Jun 2020
Research article |
| 18 Jun 2020
| 18 Jun 2020
One size fits all? Calibrating an ocean biogeochemistry model for different circulations
GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel,
Düsternbrooker Weg 20, 24105 Kiel, Germany
Paul Kähler
GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel,
Düsternbrooker Weg 20, 24105 Kiel, Germany
Wolfgang Koeve
GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel,
Düsternbrooker Weg 20, 24105 Kiel, Germany
Karin Kvale
GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel,
Düsternbrooker Weg 20, 24105 Kiel, Germany
Volkmar Sauerland
GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel,
Düsternbrooker Weg 20, 24105 Kiel, Germany
Department of Mathematics, Kiel University, Christian-Albrechts-Platz 4, 24118 Kiel, Germany
Andreas Oschlies
GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel,
Düsternbrooker Weg 20, 24105 Kiel, Germany
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- Impact of Remineralization Profile Shape on the Air‐Sea Carbon Balance J. Lauderdale & B. Cael 10.1029/2020GL091746
- 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
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- 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 role of biota in the Southern Ocean carbon cycle P. Boyd et al. 10.1038/s43017-024-00531-3
- Sensitivity of 21st-century projected ocean new production changes to idealized biogeochemical model structure G. Brett et al. 10.5194/bg-18-3123-2021
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- Sensitivity of Steady State, Deep Ocean Dissolved Organic Carbon to Surface Boundary Conditions K. Matsumoto et al. 10.1029/2021GB007102
- FOCI-MOPS v1 – integration of marine biogeochemistry within the Flexible Ocean and Climate Infrastructure version 1 (FOCI 1) Earth system model C. Chien et al. 10.5194/gmd-15-5987-2022
- The Flexible Ocean and Climate Infrastructure version 1 (FOCI1): mean state and variability K. Matthes et al. 10.5194/gmd-13-2533-2020
- Zooplankton-Mediated Fluxes in the Eastern Tropical North Atlantic R. Kiko et al. 10.3389/fmars.2020.00358
18 citations as recorded by crossref.
- Use of genetic algorithms for ocean model parameter optimisation: a case study using PISCES-v2_RC for North Atlantic particulate organic carbon M. Falls et al. 10.5194/gmd-15-5713-2022
- Resolving ecological feedbacks on the ocean carbon sink in Earth system models D. Armstrong McKay et al. 10.5194/esd-12-797-2021
- Optimal parameters for the ocean's nutrient, carbon, and oxygen cycles compensate for circulation biases but replumb the biological pump B. Pasquier et al. 10.5194/bg-20-2985-2023
- Impact of Remineralization Profile Shape on the Air‐Sea Carbon Balance J. Lauderdale & B. Cael 10.1029/2020GL091746
- 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
- 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
- Drawdown of Atmospheric pCO2 Via Variable Particle Flux Stoichiometry in the Ocean Twilight Zone T. Tanioka et al. 10.1029/2021GL094924
- Resolving and Parameterising the Ocean Mesoscale in Earth System Models H. Hewitt et al. 10.1007/s40641-020-00164-w
- 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
- 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 role of biota in the Southern Ocean carbon cycle P. Boyd et al. 10.1038/s43017-024-00531-3
- Sensitivity of 21st-century projected ocean new production changes to idealized biogeochemical model structure G. Brett et al. 10.5194/bg-18-3123-2021
- Bridging the gaps between particulate backscattering measurements and modeled particulate organic carbon in the ocean M. Galí et al. 10.5194/bg-19-1245-2022
- 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
- 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
- Sensitivity of Steady State, Deep Ocean Dissolved Organic Carbon to Surface Boundary Conditions K. Matsumoto et al. 10.1029/2021GB007102
- FOCI-MOPS v1 – integration of marine biogeochemistry within the Flexible Ocean and Climate Infrastructure version 1 (FOCI 1) Earth system model C. Chien et al. 10.5194/gmd-15-5987-2022
Latest update: 22 Apr 2024
Short summary
Constants of global biogeochemical ocean models are often tuned
by handto match observations of nutrients or oxygen. We investigate the effect of this tuning by optimising six constants of a global biogeochemical model, simulated in five different offline circulations. Optimal values for three constants adjust to distinct features of the circulation applied and can afterwards be swapped among the circulations, without losing too much of the model's fit to observed quantities.
Constants of global biogeochemical ocean models are often tuned
by handto match observations of...
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