Articles | Volume 10, issue 1
https://doi.org/10.5194/gmd-10-127-2017
© 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-10-127-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Calibrating a global three-dimensional biogeochemical ocean model (MOPS-1.0)
GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel,
Düsternbrooker Weg 20, 24105 Kiel, Germany
Volkmar Sauerland
Institut für Informatik, Christian-Albrechts-Universität zu
Kiel, Christian-Albrechts-Platz 4, 24098 Kiel, Germany
Samar Khatiwala
Department of Earth Sciences, University of Oxford, South
Parks Road, Oxford OX1 3AN, UK
Anand Srivastav
Institut für Informatik, Christian-Albrechts-Universität zu
Kiel, Christian-Albrechts-Platz 4, 24098 Kiel, Germany
Andreas Oschlies
GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel,
Düsternbrooker Weg 20, 24105 Kiel, Germany
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- Influence of GEOTRACES data distribution and misfit function choice on objective parameter retrieval in a marine zinc cycle model C. Eisenring et al. 10.5194/bg-19-5079-2022
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- Computationally efficient parameter estimation for high-dimensional ocean biogeochemical models S. Kern et al. 10.5194/gmd-17-621-2024
- Application of a fast Newton–Krylov solver for equilibrium simulations of phosphorus and oxygen W. Fu & F. Primeau 10.1016/j.ocemod.2017.09.005
- A derivative-free optimisation method for global ocean biogeochemical models S. Oliver et al. 10.5194/gmd-15-3537-2022
- Evaluation of the transport matrix method for simulation of ocean biogeochemical tracers K. Kvale et al. 10.5194/gmd-10-2425-2017
- Multiobjective Calibration of a Global Biogeochemical Ocean Model Against Nutrients, Oxygen, and Oxygen Minimum Zones V. Sauerland et al. 10.1029/2018MS001510
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- A Global Ocean Oxygen Database and Atlas for Assessing and Predicting Deoxygenation and Ocean Health in the Open and Coastal Ocean M. Grégoire et al. 10.3389/fmars.2021.724913
- Explicitly Constrained Black-Box Optimization With Disconnected Feasible Domains Using Deep Generative Models N. Sakamoto et al. 10.1109/ACCESS.2022.3219979
- Formulation, optimization, and sensitivity of NitrOMZv1.0, a biogeochemical model of the nitrogen cycle in oceanic oxygen minimum zones D. Bianchi et al. 10.5194/gmd-16-3581-2023
- Considering the Role of Adaptive Evolution in Models of the Ocean and Climate System B. Ward et al. 10.1029/2018MS001452
- One size fits all? Calibrating an ocean biogeochemistry model for different circulations I. Kriest et al. 10.5194/bg-17-3057-2020
- Chromophoric dissolved organic matter dynamics revealed through the optimization of an optical–biogeochemical model in the northwestern Mediterranean Sea E. Álvarez et al. 10.5194/bg-20-4591-2023
- Mapping manifestations of parametric uncertainty in projected pelagic oxygen concentrations back to contemporary local model fidelity U. Löptien et al. 10.1038/s41598-021-00334-2
- 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
- Convergence Rate of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions D. Morinaga et al. 10.1109/TEVC.2023.3266955
- The Flexible Ocean and Climate Infrastructure version 1 (FOCI1): mean state and variability K. Matthes et al. 10.5194/gmd-13-2533-2020
- Reviews and syntheses: parameter identification in marine planktonic ecosystem modelling M. Schartau et al. 10.5194/bg-14-1647-2017
- Reciprocal bias compensation and ensuing uncertainties in model-based climate projections: pelagic biogeochemistry versus ocean mixing U. Löptien & H. Dietze 10.5194/bg-16-1865-2019
- Evaluating ecosystem model complexity for the northwest North Atlantic through surrogate-based optimization A. Kuhn & K. Fennel 10.1016/j.ocemod.2019.101437
- 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
- Error assessment of biogeochemical models by lower bound methods (NOMMA-1.0) V. Sauerland et al. 10.5194/gmd-11-1181-2018
- 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
- Zooplankton-Mediated Fluxes in the Eastern Tropical North Atlantic R. Kiko et al. 10.3389/fmars.2020.00358
- Global Linear Convergence of Evolution Strategies on More than Smooth Strongly Convex Functions Y. Akimoto et al. 10.1137/20M1373815
- Quantifying biological carbon pump pathways with a data-constrained mechanistic model ensemble approach M. Stukel et al. 10.5194/bg-19-3595-2022
- Development, calibration, and evaluation of a model of Pseudo-nitzschia and domoic acid production for regional ocean modeling studies A. Moreno et al. 10.1016/j.hal.2022.102296
- Zooplankton mortality effects on the plankton community of the northern Humboldt Current System: sensitivity of a regional biogeochemical model M. Hill Cruz et al. 10.5194/bg-18-2891-2021
- A structure-preserving model for the dynamics of estuarine ecosystems and its application in western Patagonia fjords P. Mata Almonacid & C. Medel 10.1016/j.ecolmodel.2021.109871
- Calibration of a simple and a complex model of global marine biogeochemistry I. Kriest 10.5194/bg-14-4965-2017
- 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
- A CMA‐ES Algorithm Allowing for Random Parameters in Model Calibration V. Sauerland et al. 10.1029/2022MS003390
Latest update: 14 Dec 2024
Short summary
Global biogeochemical ocean models are subject to a high level of parametric uncertainty. This may be of consequence for their skill with respect to accurately describing features of the present ocean and their sensitivity to possible environmental changes. We present the first results from a framework that combines an offline biogeochemical tracer transport model with an estimation of distribution algorithm, calibrating six biogeochemical model parameters against observed oxygen and nutrients.
Global biogeochemical ocean models are subject to a high level of parametric uncertainty. This...