Articles | Volume 8, issue 5
https://doi.org/10.5194/gmd-8-1357-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-8-1357-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
12 May 2015
Model description paper |
| 12 May 2015
A dynamic marine iron cycle module coupled to the University of Victoria Earth System Model: the Kiel Marine Biogeochemical Model 2 for UVic 2.9
L. Nickelsen
CORRESPONDING AUTHOR
GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel, Düsternbrooker Weg 20, 24105 Kiel, Germany
D. P. Keller
GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel, Düsternbrooker Weg 20, 24105 Kiel, Germany
A. Oschlies
GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel, Düsternbrooker Weg 20, 24105 Kiel, Germany
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Cited
20 citations as recorded by crossref.
- Explicit silicate cycling in the Kiel Marine Biogeochemistry Model version 3 (KMBM3) embedded in the UVic ESCM version 2.9 K. Kvale et al. 10.5194/gmd-14-7255-2021
- Ocean phosphorus inventory: large uncertainties in future projections on millennial timescales and their consequences for ocean deoxygenation T. Kemena et al. 10.5194/esd-10-539-2019
- Hierarchy of calibrated global models reveals improved distributions and fluxes of biogeochemical tracers in models with explicit representation of iron W. Yao et al. 10.1088/1748-9326/ab4c52
- Southern Ocean Ecosystem Response to Last Glacial Maximum Boundary Conditions H. Saini et al. 10.1029/2020PA004075
- Quantifying trace element and isotope fluxes at the ocean–sediment boundary: a review W. Homoky et al. 10.1098/rsta.2016.0246
- Zooplankton grazing of microplastic can accelerate global loss of ocean oxygen K. Kvale et al. 10.1038/s41467-021-22554-w
- Constraining Global Marine Iron Sources and Ligand‐Mediated Scavenging Fluxes With GEOTRACES Dissolved Iron Measurements in an Ocean Biogeochemical Model C. Somes et al. 10.1029/2021GB006948
- MOPS-1.0: towards a model for the regulation of the global oceanic nitrogen budget by marine biogeochemical processes I. Kriest & A. Oschlies 10.5194/gmd-8-2929-2015
- 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
- Understanding the causes and consequences of past marine carbon cycling variability through models D. Hülse et al. 10.1016/j.earscirev.2017.06.004
- 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. 10.5194/gmd-13-4691-2020
- CITRATE 1.0: Phytoplankton continuous trait-distribution model with one-dimensional physical transport applied to the North Pacific B. Chen & S. Smith 10.5194/gmd-11-467-2018
- The response of the ocean carbon cycle to artificial upwelling, ocean iron fertilization and the combination of both M. Jürchott et al. 10.1088/1748-9326/ad858d
- Simulated Future Trends in Marine Nitrogen Fixation Are Sensitive to Model Iron Implementation W. Yao et al. 10.1029/2020GB006851
- A Three-Dimensional Model of the Marine Nitrogen Cycle during the Last Glacial Maximum Constrained by Sedimentary Isotopes C. Somes et al. 10.3389/fmars.2017.00108
- Combined Effects of Atmospheric and Seafloor Iron Fluxes to the Glacial Ocean J. Muglia et al. 10.1002/2016PA003077
- 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. 10.5194/gmd-13-4663-2020
- Impact of iron fertilisation on atmospheric CO2 during the last glaciation H. Saini et al. 10.5194/cp-19-1559-2023
- A revised global estimate of dissolved iron fluxes from marine sediments A. Dale et al. 10.1002/2014GB005017
- Explicit Planktic Calcifiers in the University of Victoria Earth System Climate Model, Version 2.9 K. Kvale et al. 10.1080/07055900.2015.1049112
18 citations as recorded by crossref.
- Explicit silicate cycling in the Kiel Marine Biogeochemistry Model version 3 (KMBM3) embedded in the UVic ESCM version 2.9 K. Kvale et al. 10.5194/gmd-14-7255-2021
- Ocean phosphorus inventory: large uncertainties in future projections on millennial timescales and their consequences for ocean deoxygenation T. Kemena et al. 10.5194/esd-10-539-2019
- Hierarchy of calibrated global models reveals improved distributions and fluxes of biogeochemical tracers in models with explicit representation of iron W. Yao et al. 10.1088/1748-9326/ab4c52
- Southern Ocean Ecosystem Response to Last Glacial Maximum Boundary Conditions H. Saini et al. 10.1029/2020PA004075
- Quantifying trace element and isotope fluxes at the ocean–sediment boundary: a review W. Homoky et al. 10.1098/rsta.2016.0246
- Zooplankton grazing of microplastic can accelerate global loss of ocean oxygen K. Kvale et al. 10.1038/s41467-021-22554-w
- Constraining Global Marine Iron Sources and Ligand‐Mediated Scavenging Fluxes With GEOTRACES Dissolved Iron Measurements in an Ocean Biogeochemical Model C. Somes et al. 10.1029/2021GB006948
- MOPS-1.0: towards a model for the regulation of the global oceanic nitrogen budget by marine biogeochemical processes I. Kriest & A. Oschlies 10.5194/gmd-8-2929-2015
- 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
- Understanding the causes and consequences of past marine carbon cycling variability through models D. Hülse et al. 10.1016/j.earscirev.2017.06.004
- 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. 10.5194/gmd-13-4691-2020
- CITRATE 1.0: Phytoplankton continuous trait-distribution model with one-dimensional physical transport applied to the North Pacific B. Chen & S. Smith 10.5194/gmd-11-467-2018
- The response of the ocean carbon cycle to artificial upwelling, ocean iron fertilization and the combination of both M. Jürchott et al. 10.1088/1748-9326/ad858d
- Simulated Future Trends in Marine Nitrogen Fixation Are Sensitive to Model Iron Implementation W. Yao et al. 10.1029/2020GB006851
- A Three-Dimensional Model of the Marine Nitrogen Cycle during the Last Glacial Maximum Constrained by Sedimentary Isotopes C. Somes et al. 10.3389/fmars.2017.00108
- Combined Effects of Atmospheric and Seafloor Iron Fluxes to the Glacial Ocean J. Muglia et al. 10.1002/2016PA003077
- 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. 10.5194/gmd-13-4663-2020
- Impact of iron fertilisation on atmospheric CO2 during the last glaciation H. Saini et al. 10.5194/cp-19-1559-2023
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Latest update: 13 Dec 2024
Short summary
In this paper we find that including the marine cycle of the phytoplankton nutrient iron in a global climate model improves the agreement between observed and simulated nutrient concentrations in the ocean and that a better description of the source of iron from the sediment to the ocean is more important than that of iron-containing dust deposition. Finally, we find that the response of the iron cycle to climate warming affects the phytoplankton growth and nutrient cycles.
In this paper we find that including the marine cycle of the phytoplankton nutrient iron in a...
