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.
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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- 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
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- The role of biota in the Southern Ocean carbon cycle P. Boyd et al. 10.1038/s43017-024-00531-3
- When to add a new process to a model – and when not: A marine biogeochemical perspective A. Martin et al. 10.1016/j.ecolmodel.2024.110870
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- The biological and preformed carbon pumps in perpetually slower and warmer oceans B. Pasquier et al. 10.5194/bg-21-3373-2024
Latest update: 12 Nov 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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