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
Viewed
Total article views: 4,021 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Mar 2017)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,463 | 1,316 | 242 | 4,021 | 642 | 321 | 298 |
- HTML: 2,463
- PDF: 1,316
- XML: 242
- Total: 4,021
- Supplement: 642
- BibTeX: 321
- EndNote: 298
Total article views: 3,112 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 08 Nov 2017)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,965 | 954 | 193 | 3,112 | 340 | 308 | 253 |
- HTML: 1,965
- PDF: 954
- XML: 193
- Total: 3,112
- Supplement: 340
- BibTeX: 308
- EndNote: 253
Total article views: 909 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Mar 2017)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 498 | 362 | 49 | 909 | 302 | 13 | 45 |
- HTML: 498
- PDF: 362
- XML: 49
- Total: 909
- Supplement: 302
- BibTeX: 13
- EndNote: 45
Viewed (geographical distribution)
Total article views: 4,021 (including HTML, PDF, and XML)
Thereof 3,898 with geography defined
and 123 with unknown origin.
Total article views: 3,112 (including HTML, PDF, and XML)
Thereof 3,021 with geography defined
and 91 with unknown origin.
Total article views: 909 (including HTML, PDF, and XML)
Thereof 877 with geography defined
and 32 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
23 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. https://doi.org/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. https://doi.org/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. https://doi.org/10.1016/j.ecoinf.2022.101764
- Computationally efficient parameter estimation for high-dimensional ocean biogeochemical models S. Kern et al. https://doi.org/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. https://doi.org/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 https://doi.org/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. https://doi.org/10.5194/gmd-14-3437-2021
- Sensitivity of 21st-century projected ocean new production changes to idealized biogeochemical model structure G. Brett et al. https://doi.org/10.5194/bg-18-3123-2021
- Resolving and Parameterising the Ocean Mesoscale in Earth System Models H. Hewitt et al. https://doi.org/10.1007/s40641-020-00164-w
- Resolving ecological feedbacks on the ocean carbon sink in Earth system models D. Armstrong McKay et al. https://doi.org/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. https://doi.org/10.1029/2018MS001510
- Influence of Seasonal Variability in Flux Attenuation on Global Organic Carbon Fluxes and Nutrient Distributions F. de Melo Viríssimo et al. https://doi.org/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. https://doi.org/10.5194/gmd-13-4663-2020
- Preface: Ernst Maier-Reimer and his way of modelling the ocean C. Heinze & K. Hasselmann https://doi.org/10.5194/bg-16-751-2019
- One size fits all? Calibrating an ocean biogeochemistry model for different circulations I. Kriest et al. https://doi.org/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. https://doi.org/10.5194/gmd-13-4691-2020
- A derivative-free optimisation method for global ocean biogeochemical models S. Oliver et al. https://doi.org/10.5194/gmd-15-3537-2022
- A CMA‐ES Algorithm Allowing for Random Parameters in Model Calibration V. Sauerland et al. https://doi.org/10.1029/2022MS003390
- The Flexible Ocean and Climate Infrastructure version 1 (FOCI1): mean state and variability K. Matthes et al. https://doi.org/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. https://doi.org/10.5194/bg-19-5079-2022
- Evaluating ecosystem model complexity for the northwest North Atlantic through surrogate-based optimization A. Kuhn & K. Fennel https://doi.org/10.1016/j.ocemod.2019.101437
- Accounting for Dissolved Organic Nutrients in an SPBEM-2 Model: Validation and Verification A. Isaev et al. https://doi.org/10.3390/w12051307
- The biological and preformed carbon pumps in perpetually slower and warmer oceans B. Pasquier et al. https://doi.org/10.5194/bg-21-3373-2024
23 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. https://doi.org/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. https://doi.org/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. https://doi.org/10.1016/j.ecoinf.2022.101764
- Computationally efficient parameter estimation for high-dimensional ocean biogeochemical models S. Kern et al. https://doi.org/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. https://doi.org/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 https://doi.org/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. https://doi.org/10.5194/gmd-14-3437-2021
- Sensitivity of 21st-century projected ocean new production changes to idealized biogeochemical model structure G. Brett et al. https://doi.org/10.5194/bg-18-3123-2021
- Resolving and Parameterising the Ocean Mesoscale in Earth System Models H. Hewitt et al. https://doi.org/10.1007/s40641-020-00164-w
- Resolving ecological feedbacks on the ocean carbon sink in Earth system models D. Armstrong McKay et al. https://doi.org/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. https://doi.org/10.1029/2018MS001510
- Influence of Seasonal Variability in Flux Attenuation on Global Organic Carbon Fluxes and Nutrient Distributions F. de Melo Viríssimo et al. https://doi.org/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. https://doi.org/10.5194/gmd-13-4663-2020
- Preface: Ernst Maier-Reimer and his way of modelling the ocean C. Heinze & K. Hasselmann https://doi.org/10.5194/bg-16-751-2019
- One size fits all? Calibrating an ocean biogeochemistry model for different circulations I. Kriest et al. https://doi.org/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. https://doi.org/10.5194/gmd-13-4691-2020
- A derivative-free optimisation method for global ocean biogeochemical models S. Oliver et al. https://doi.org/10.5194/gmd-15-3537-2022
- A CMA‐ES Algorithm Allowing for Random Parameters in Model Calibration V. Sauerland et al. https://doi.org/10.1029/2022MS003390
- The Flexible Ocean and Climate Infrastructure version 1 (FOCI1): mean state and variability K. Matthes et al. https://doi.org/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. https://doi.org/10.5194/bg-19-5079-2022
- Evaluating ecosystem model complexity for the northwest North Atlantic through surrogate-based optimization A. Kuhn & K. Fennel https://doi.org/10.1016/j.ocemod.2019.101437
- Accounting for Dissolved Organic Nutrients in an SPBEM-2 Model: Validation and Verification A. Isaev et al. https://doi.org/10.3390/w12051307
- The biological and preformed carbon pumps in perpetually slower and warmer oceans B. Pasquier et al. https://doi.org/10.5194/bg-21-3373-2024
Saved (final revised paper)
Latest update: 10 Sep 2026
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...
Altmetrics
Final-revised paper
Preprint