Articles | Volume 10, issue 6
https://doi.org/10.5194/gmd-10-2425-2017
© Author(s) 2017. 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-10-2425-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model evaluation paper
| 
29 Jun 2017
Model evaluation paper |
| 29 Jun 2017
Evaluation of the transport matrix method for simulation of ocean biogeochemical tracers
GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel, Düsternbrooker Weg 20, 24105 Kiel, Germany
Samar Khatiwala
Department of Earth Sciences, University of Oxford, South Parks Road, Oxford OX1 3AN, UK
Heiner Dietze
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
Andreas Oschlies
GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel, Düsternbrooker Weg 20, 24105 Kiel, Germany
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Cited
17 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. https://doi.org/10.5194/gmd-14-7255-2021
- FEOTS v0.0.0: a new offline code for the fast equilibration of tracers in the ocean J. Schoonover et al. https://doi.org/10.5194/gmd-16-2795-2023
- Hierarchy of calibrated global models reveals improved distributions and fluxes of biogeochemical tracers in models with explicit representation of iron W. Yao et al. https://doi.org/10.1088/1748-9326/ab4c52
- AIBECS.jl: A tool for exploring global marine biogeochemical cycles. B. Pasquier et al. https://doi.org/10.21105/joss.03814
- Calibration of a simple and a complex model of global marine biogeochemistry I. Kriest https://doi.org/10.5194/bg-14-4965-2017
- 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
- AWESOME OCIM: A simple, flexible, and powerful tool for modeling elemental cycling in the oceans S. John et al. https://doi.org/10.1016/j.chemgeo.2019.119403
- 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
- Multi-grid algorithm for passive tracer transport in the NEMO ocean circulation model: a case study with the NEMO OGCM (version 3.6) C. Bricaud et al. https://doi.org/10.5194/gmd-13-5465-2020
- Climate‐Driven Changes in the Ocean's Ventilation Pathways and Time Scales Diagnosed From Transport Matrices M. Holzer et al. https://doi.org/10.1029/2020JC016414
- Relating Patterns of Added and Redistributed Ocean Warming E. Newsom et al. https://doi.org/10.1175/JCLI-D-21-0827.1
- Computational library for the nutrient-unicellular-multicellular plankton modeling framework v. 1.0 A. Papapostolou et al. https://doi.org/10.5194/gmd-19-6627-2026
- Changes to the Air‐Sea Flux and Distribution of Radiocarbon in the Ocean Over the 21st Century S. Khatiwala et al. https://doi.org/10.1029/2018GL078172
- A New Metric of the Biological Carbon Pump: Number of Pump Passages and Its Control on Atmospheric pCO2 M. Holzer et al. https://doi.org/10.1029/2020GB006863
- Reciprocal bias compensation and ensuing uncertainties in model-based climate projections: pelagic biogeochemistry versus ocean mixing U. Löptien & H. Dietze https://doi.org/10.5194/bg-16-1865-2019
- 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
- Air-sea disequilibrium enhances ocean carbon storage during glacial periods S. Khatiwala et al. https://doi.org/10.1126/sciadv.aaw4981
17 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. https://doi.org/10.5194/gmd-14-7255-2021
- FEOTS v0.0.0: a new offline code for the fast equilibration of tracers in the ocean J. Schoonover et al. https://doi.org/10.5194/gmd-16-2795-2023
- Hierarchy of calibrated global models reveals improved distributions and fluxes of biogeochemical tracers in models with explicit representation of iron W. Yao et al. https://doi.org/10.1088/1748-9326/ab4c52
- AIBECS.jl: A tool for exploring global marine biogeochemical cycles. B. Pasquier et al. https://doi.org/10.21105/joss.03814
- Calibration of a simple and a complex model of global marine biogeochemistry I. Kriest https://doi.org/10.5194/bg-14-4965-2017
- 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
- AWESOME OCIM: A simple, flexible, and powerful tool for modeling elemental cycling in the oceans S. John et al. https://doi.org/10.1016/j.chemgeo.2019.119403
- 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
- Multi-grid algorithm for passive tracer transport in the NEMO ocean circulation model: a case study with the NEMO OGCM (version 3.6) C. Bricaud et al. https://doi.org/10.5194/gmd-13-5465-2020
- Climate‐Driven Changes in the Ocean's Ventilation Pathways and Time Scales Diagnosed From Transport Matrices M. Holzer et al. https://doi.org/10.1029/2020JC016414
- Relating Patterns of Added and Redistributed Ocean Warming E. Newsom et al. https://doi.org/10.1175/JCLI-D-21-0827.1
- Computational library for the nutrient-unicellular-multicellular plankton modeling framework v. 1.0 A. Papapostolou et al. https://doi.org/10.5194/gmd-19-6627-2026
- Changes to the Air‐Sea Flux and Distribution of Radiocarbon in the Ocean Over the 21st Century S. Khatiwala et al. https://doi.org/10.1029/2018GL078172
- A New Metric of the Biological Carbon Pump: Number of Pump Passages and Its Control on Atmospheric pCO2 M. Holzer et al. https://doi.org/10.1029/2020GB006863
- Reciprocal bias compensation and ensuing uncertainties in model-based climate projections: pelagic biogeochemistry versus ocean mixing U. Löptien & H. Dietze https://doi.org/10.5194/bg-16-1865-2019
- 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
- Air-sea disequilibrium enhances ocean carbon storage during glacial periods S. Khatiwala et al. https://doi.org/10.1126/sciadv.aaw4981
Saved (final revised paper)
Latest update: 13 Aug 2026
Short summary
Computer models of ocean biology and chemistry are becoming increasingly complex, and thus more expensive, to run. One solution is to approximate the behaviour of the ocean physics and store that information outside of the model. That
offlineinformation can then be used to calculate a steady-state solution from the model's biology and chemistry, without waiting for a traditional
onlineintegration to complete. We show this offline method reproduces online results and is 100 times faster.
Computer models of ocean biology and chemistry are becoming increasingly complex, and thus more...
