Articles | Volume 13, issue 10
https://doi.org/10.5194/gmd-13-4663-2020
© 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/gmd-13-4663-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
02 Oct 2020
Model description paper |
| 02 Oct 2020
| 02 Oct 2020
Optimality-based non-Redfield plankton–ecosystem model (OPEM v1.1) in UVic-ESCM 2.9 – Part 1: Implementation and model behaviour
Markus Pahlow
CORRESPONDING AUTHOR
GEOMAR Helmholtz Centre for Ocean Research Kiel, Düsternbrooker Weg 20, 24105 Kiel, Germany
Chia-Te Chien
GEOMAR Helmholtz Centre for Ocean Research Kiel, Düsternbrooker Weg 20, 24105 Kiel, Germany
Lionel A. Arteaga
Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton, NJ, USA
present address: NASA Global Modeling and Assimilation Office, Universities Space Research Association, Columbia, MD, USA
Andreas Oschlies
GEOMAR Helmholtz Centre for Ocean Research Kiel, Düsternbrooker Weg 20, 24105 Kiel, Germany
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Cited
16 citations as recorded by crossref.
- FABM-NflexPD 1.0: assessing an instantaneous acclimation approach for modeling phytoplankton growth O. Kerimoglu et al. 10.5194/gmd-14-6025-2021
- FABM-NflexPD 2.0: testing an instantaneous acclimation approach for modeling the implications of phytoplankton eco-physiology for the carbon and nutrient cycles O. Kerimoglu et al. 10.5194/gmd-16-95-2023
- Can Top-Down Controls Expand the Ecological Niche of Marine N2 Fixers? A. Landolfi et al. 10.3389/fmicb.2021.690200
- Modelling the terrestrial nitrogen and phosphorus cycle in the UVic ESCM M. De Sisto et al. 10.5194/gmd-16-4113-2023
- Effects of phytoplankton physiology on global ocean biogeochemistry and climate C. Chien et al. 10.1126/sciadv.adg1725
- Enhancing Ocean Biogeochemical Models With Phytoplankton Variable Composition P. Anugerahanti et al. 10.3389/fmars.2021.675428
- Acclimation by diverse phytoplankton species determines oceanic carbon to nitrogen ratios Y. Masuda et al. 10.1002/lol2.10304
- Physiological flexibility of phytoplankton impacts modelled chlorophyll and primary production across the North Pacific Ocean Y. Sasai et al. 10.5194/bg-19-4865-2022
- Non-Redfieldian carbon model for the Baltic Sea (ERGOM version 1.2) – implementation and budget estimates T. Neumann et al. 10.5194/gmd-15-8473-2022
- Trophic model closure influences ecosystem response to enrichment A. Omta et al. 10.1016/j.ecolmodel.2022.110183
- Drawdown of Atmospheric pCO2 Via Variable Particle Flux Stoichiometry in the Ocean Twilight Zone T. Tanioka et al. 10.1029/2021GL094924
- Total alkalinity change: The perspective of phytoplankton stoichiometry D. Wolf‐Gladrow & C. Klaas 10.1002/lno.12597
- MESMO 3: Flexible phytoplankton stoichiometry and refractory dissolved organic matter K. Matsumoto et al. 10.5194/gmd-14-2265-2021
- IMPROVEMENT ASSESSMENT OF PRIMARY PRODUCTION MODELLING USING FOUR DIMENSIONAL VARIATIONAL DATA ASSIMILATION T. NAGANO & M. IRIE 10.2208/jscejj.24-17230
- Modelling approaches for capturing plankton diversity (MODIV), their societal applications and data needs E. Acevedo-Trejos et al. 10.3389/fmars.2022.975414
- Global impact of benthic denitrification on marine N2 fixation and primary production simulated by a variable-stoichiometry Earth system model N. Li et al. 10.5194/bg-21-4361-2024
16 citations as recorded by crossref.
- FABM-NflexPD 1.0: assessing an instantaneous acclimation approach for modeling phytoplankton growth O. Kerimoglu et al. 10.5194/gmd-14-6025-2021
- FABM-NflexPD 2.0: testing an instantaneous acclimation approach for modeling the implications of phytoplankton eco-physiology for the carbon and nutrient cycles O. Kerimoglu et al. 10.5194/gmd-16-95-2023
- Can Top-Down Controls Expand the Ecological Niche of Marine N2 Fixers? A. Landolfi et al. 10.3389/fmicb.2021.690200
- Modelling the terrestrial nitrogen and phosphorus cycle in the UVic ESCM M. De Sisto et al. 10.5194/gmd-16-4113-2023
- Effects of phytoplankton physiology on global ocean biogeochemistry and climate C. Chien et al. 10.1126/sciadv.adg1725
- Enhancing Ocean Biogeochemical Models With Phytoplankton Variable Composition P. Anugerahanti et al. 10.3389/fmars.2021.675428
- Acclimation by diverse phytoplankton species determines oceanic carbon to nitrogen ratios Y. Masuda et al. 10.1002/lol2.10304
- Physiological flexibility of phytoplankton impacts modelled chlorophyll and primary production across the North Pacific Ocean Y. Sasai et al. 10.5194/bg-19-4865-2022
- Non-Redfieldian carbon model for the Baltic Sea (ERGOM version 1.2) – implementation and budget estimates T. Neumann et al. 10.5194/gmd-15-8473-2022
- Trophic model closure influences ecosystem response to enrichment A. Omta et al. 10.1016/j.ecolmodel.2022.110183
- Drawdown of Atmospheric pCO2 Via Variable Particle Flux Stoichiometry in the Ocean Twilight Zone T. Tanioka et al. 10.1029/2021GL094924
- Total alkalinity change: The perspective of phytoplankton stoichiometry D. Wolf‐Gladrow & C. Klaas 10.1002/lno.12597
- MESMO 3: Flexible phytoplankton stoichiometry and refractory dissolved organic matter K. Matsumoto et al. 10.5194/gmd-14-2265-2021
- IMPROVEMENT ASSESSMENT OF PRIMARY PRODUCTION MODELLING USING FOUR DIMENSIONAL VARIATIONAL DATA ASSIMILATION T. NAGANO & M. IRIE 10.2208/jscejj.24-17230
- Modelling approaches for capturing plankton diversity (MODIV), their societal applications and data needs E. Acevedo-Trejos et al. 10.3389/fmars.2022.975414
- Global impact of benthic denitrification on marine N2 fixation and primary production simulated by a variable-stoichiometry Earth system model N. Li et al. 10.5194/bg-21-4361-2024
Latest update: 13 Dec 2024
Short summary
The stoichiometry of marine biotic processes is important for the regulation of atmospheric CO2 and hence the global climate. We replace a simplistic, fixed-stoichiometry plankton module in an Earth system model with an optimal-regulation model with variable stoichiometry. Our model compares better to the observed carbon transfer from the surface to depth and surface nutrient distributions. This work could aid our ability to describe and project the role of marine ecosystems in the Earth system.
The stoichiometry of marine biotic processes is important for the regulation of atmospheric CO2...
