Articles | Volume 16, issue 9
https://doi.org/10.5194/bg-16-1865-2019
© Author(s) 2019. 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-16-1865-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
06 May 2019
Research article | Highlight paper |
| 06 May 2019
| 06 May 2019
Reciprocal bias compensation and ensuing uncertainties in model-based climate projections: pelagic biogeochemistry versus ocean mixing
Ulrike Löptien
CORRESPONDING AUTHOR
Institute for Geosciences, University of Kiel, Ludewig-Meyn-Str. 10, 24118 Kiel, Germany
Biogeochemical Modelling Department, GEOMAR Helmholtz Centre for Ocean Research
Kiel, Düsternbrooker Weg 20, 24105 Kiel, Germany
Heiner Dietze
Institute for Geosciences, University of Kiel, Ludewig-Meyn-Str. 10, 24118 Kiel, Germany
Biogeochemical Modelling Department, GEOMAR Helmholtz Centre for Ocean Research
Kiel, Düsternbrooker Weg 20, 24105 Kiel, Germany
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Cited
20 citations as recorded by crossref.
- Diversity of Growth Rates Maximizes Phytoplankton Productivity in an Eddying Ocean M. Freilich et al. 10.1029/2021GL096180
- Submesoscale Effects on Changes to Export Production Under Global Warming G. Brett et al. 10.1029/2022GB007619
- One size fits all? Calibrating an ocean biogeochemistry model for different circulations I. Kriest et al. 10.5194/bg-17-3057-2020
- Ocean biogeochemical modelling K. Fennel et al. 10.1038/s43586-022-00154-2
- 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
- Influence of the solar penetration depth and heat-fluxes on the sea surface temperature using an ocean mixed layer model H. Gupta et al. 10.1016/j.rsma.2024.103551
- 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
- Can machine learning extract the mechanisms controlling phytoplankton growth from large-scale observations? – A proof-of-concept study C. Holder & A. Gnanadesikan 10.5194/bg-18-1941-2021
- 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
- Evaluation of the University of Victoria Earth System Climate Model version 2.10 (UVic ESCM 2.10) N. Mengis et al. 10.5194/gmd-13-4183-2020
- Causes of uncertainties in the representation of the Arabian Sea oxygen minimum zone in CMIP5 models H. Schmidt et al. 10.5194/os-17-1303-2021
- The Impact of Fine-Scale Currents on Biogeochemical Cycles in a Changing Ocean M. Lévy et al. 10.1146/annurev-marine-020723-020531
- MOMSO 1.0 – an eddying Southern Ocean model configuration with fairly equilibrated natural carbon H. Dietze et al. 10.5194/gmd-13-71-2020
- Cyanobacteria blooms in the Baltic Sea: a review of models and facts B. Munkes et al. 10.5194/bg-18-2347-2021
- Ambiguous controls on simulated diazotrophs in the world oceans U. Löptien & H. Dietze 10.1038/s41598-022-22382-y
- Sensitivity of 21st-century projected ocean new production changes to idealized biogeochemical model structure G. Brett et al. 10.5194/bg-18-3123-2021
- Silicon Isotopes in an EMIC's Ocean: Sensitivity to Runoff, Iron Supply, and Climate H. Dietze et al. 10.1029/2020PA003960
- Calibration of temperature-dependent ocean microbial processes in the cGENIE.muffin (v0.9.13) Earth system model K. Crichton et al. 10.5194/gmd-14-125-2021
- 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
- Retracing hypoxia in Eckernförde Bight (Baltic Sea) H. Dietze & U. Löptien 10.5194/bg-18-4243-2021
20 citations as recorded by crossref.
- Diversity of Growth Rates Maximizes Phytoplankton Productivity in an Eddying Ocean M. Freilich et al. 10.1029/2021GL096180
- Submesoscale Effects on Changes to Export Production Under Global Warming G. Brett et al. 10.1029/2022GB007619
- One size fits all? Calibrating an ocean biogeochemistry model for different circulations I. Kriest et al. 10.5194/bg-17-3057-2020
- Ocean biogeochemical modelling K. Fennel et al. 10.1038/s43586-022-00154-2
- 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
- Influence of the solar penetration depth and heat-fluxes on the sea surface temperature using an ocean mixed layer model H. Gupta et al. 10.1016/j.rsma.2024.103551
- 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
- Can machine learning extract the mechanisms controlling phytoplankton growth from large-scale observations? – A proof-of-concept study C. Holder & A. Gnanadesikan 10.5194/bg-18-1941-2021
- 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
- Evaluation of the University of Victoria Earth System Climate Model version 2.10 (UVic ESCM 2.10) N. Mengis et al. 10.5194/gmd-13-4183-2020
- Causes of uncertainties in the representation of the Arabian Sea oxygen minimum zone in CMIP5 models H. Schmidt et al. 10.5194/os-17-1303-2021
- The Impact of Fine-Scale Currents on Biogeochemical Cycles in a Changing Ocean M. Lévy et al. 10.1146/annurev-marine-020723-020531
- MOMSO 1.0 – an eddying Southern Ocean model configuration with fairly equilibrated natural carbon H. Dietze et al. 10.5194/gmd-13-71-2020
- Cyanobacteria blooms in the Baltic Sea: a review of models and facts B. Munkes et al. 10.5194/bg-18-2347-2021
- Ambiguous controls on simulated diazotrophs in the world oceans U. Löptien & H. Dietze 10.1038/s41598-022-22382-y
- Sensitivity of 21st-century projected ocean new production changes to idealized biogeochemical model structure G. Brett et al. 10.5194/bg-18-3123-2021
- Silicon Isotopes in an EMIC's Ocean: Sensitivity to Runoff, Iron Supply, and Climate H. Dietze et al. 10.1029/2020PA003960
- Calibration of temperature-dependent ocean microbial processes in the cGENIE.muffin (v0.9.13) Earth system model K. Crichton et al. 10.5194/gmd-14-125-2021
- 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
- Retracing hypoxia in Eckernförde Bight (Baltic Sea) H. Dietze & U. Löptien 10.5194/bg-18-4243-2021
Latest update: 25 Dec 2024
Short summary
Anthropogenic greenhouse gas emissions trigger complex climate feedbacks. Output form Earth system models provides a basis for related political decision-making. One challenge is to arrive at reliable model parameter estimates for the ocean biogeochemistry module. We illustrate pitfalls through which flaws in the ocean module are masked by wrongly tuning the biogeochemistry and discuss ensuing uncertainties in climate projections.
Anthropogenic greenhouse gas emissions trigger complex climate feedbacks. Output form Earth...
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