Articles | Volume 15, issue 15
https://doi.org/10.5194/gmd-15-5987-2022
© Author(s) 2022. 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-15-5987-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
02 Aug 2022
Model description paper |
| 02 Aug 2022
| 02 Aug 2022
FOCI-MOPS v1 – integration of marine biogeochemistry within the Flexible Ocean and Climate Infrastructure version 1 (FOCI 1) Earth system model
GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel,
Düsternbrooker Weg 20, 24105 Kiel, Germany
Jonathan V. Durgadoo
GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel,
Düsternbrooker Weg 20, 24105 Kiel, Germany
Kiel University, 24118 Kiel, Germany
Dana Ehlert
GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel,
Düsternbrooker Weg 20, 24105 Kiel, Germany
Ivy Frenger
GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel,
Düsternbrooker Weg 20, 24105 Kiel, Germany
David P. Keller
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
Iris Kriest
GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel,
Düsternbrooker Weg 20, 24105 Kiel, Germany
Angela Landolfi
GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel,
Düsternbrooker Weg 20, 24105 Kiel, Germany
ISMAR-CNR, via Fosso del Cavaliere 100, 0133 Rome, Italy
Lavinia Patara
GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel,
Düsternbrooker Weg 20, 24105 Kiel, Germany
Sebastian Wahl
GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel,
Düsternbrooker Weg 20, 24105 Kiel, Germany
Andreas Oschlies
GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel,
Düsternbrooker Weg 20, 24105 Kiel, Germany
Kiel University, 24118 Kiel, Germany
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Cited
13 citations as recorded by crossref.
- Magnitude, Trends, and Variability of the Global Ocean Carbon Sink From 1985 to 2018 T. DeVries et al. 10.1029/2023GB007780
- No compromise in efficiency from the co-application of a marine and a terrestrial CDR method Y. Moustakis et al. 10.1038/s41467-025-59982-x
- Seasonal Variability of the Surface Ocean Carbon Cycle: A Synthesis K. Rodgers et al. 10.1029/2023GB007798
- Southern Ocean phytoplankton under climate change: a shifting balance of bottom-up and top-down control T. Xue et al. 10.5194/bg-21-2473-2024
- Detection and tracking of carbon biomes via integrated machine learning S. Mohanty et al. 10.5194/os-21-587-2025
- 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
- Can Oxygen Utilization Rate Be Used to Track the Long‐Term Changes of Aerobic Respiration in the Mesopelagic Atlantic Ocean? H. Guo et al. 10.1029/2022GL102645
- Competing effects of wind and buoyancy forcing on ocean oxygen trends in recent decades H. Hollitzer et al. 10.1038/s41467-024-53557-y
- CMIP6 models agree on similar carbon cycle feedbacks between enhancing terrestrial and marine carbon sinks H. Wey et al. 10.1088/1748-9326/adc617
- Dual-tracer constraints on the inverse Gaussian transit time distribution improve the estimation of water mass ages and their temporal trends in the tropical thermocline H. Guo et al. 10.5194/os-21-1167-2025
- Zooplankton seasonal vertical migration in an optimality-based plankton ecosystem model M. Grossowicz et al. 10.1093/plankt/fbae016
- The Southern Ocean Carbon Cycle 1985–2018: Mean, Seasonal Cycle, Trends, and Storage J. Hauck et al. 10.1029/2023GB007848
- 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
12 citations as recorded by crossref.
- Magnitude, Trends, and Variability of the Global Ocean Carbon Sink From 1985 to 2018 T. DeVries et al. 10.1029/2023GB007780
- No compromise in efficiency from the co-application of a marine and a terrestrial CDR method Y. Moustakis et al. 10.1038/s41467-025-59982-x
- Seasonal Variability of the Surface Ocean Carbon Cycle: A Synthesis K. Rodgers et al. 10.1029/2023GB007798
- Southern Ocean phytoplankton under climate change: a shifting balance of bottom-up and top-down control T. Xue et al. 10.5194/bg-21-2473-2024
- Detection and tracking of carbon biomes via integrated machine learning S. Mohanty et al. 10.5194/os-21-587-2025
- 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
- Can Oxygen Utilization Rate Be Used to Track the Long‐Term Changes of Aerobic Respiration in the Mesopelagic Atlantic Ocean? H. Guo et al. 10.1029/2022GL102645
- Competing effects of wind and buoyancy forcing on ocean oxygen trends in recent decades H. Hollitzer et al. 10.1038/s41467-024-53557-y
- CMIP6 models agree on similar carbon cycle feedbacks between enhancing terrestrial and marine carbon sinks H. Wey et al. 10.1088/1748-9326/adc617
- Dual-tracer constraints on the inverse Gaussian transit time distribution improve the estimation of water mass ages and their temporal trends in the tropical thermocline H. Guo et al. 10.5194/os-21-1167-2025
- Zooplankton seasonal vertical migration in an optimality-based plankton ecosystem model M. Grossowicz et al. 10.1093/plankt/fbae016
- The Southern Ocean Carbon Cycle 1985–2018: Mean, Seasonal Cycle, Trends, and Storage J. Hauck et al. 10.1029/2023GB007848
Latest update: 29 Jul 2025
Short summary
We present the implementation and evaluation of a marine biogeochemical model, Model of Oceanic Pelagic Stoichiometry (MOPS) in the Flexible Ocean and Climate Infrastructure (FOCI) climate model. FOCI-MOPS enables the simulation of marine biological processes, the marine carbon, nitrogen and oxygen cycles, and air–sea gas exchange of CO2 and O2. As shown by our evaluation, FOCI-MOPS shows an overall adequate performance that makes it an appropriate tool for Earth climate system simulations.
We present the implementation and evaluation of a marine biogeochemical model, Model of Oceanic...
