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Journal articles on the topic 'Global ocean biogeochemical model'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Kriest, Iris, Volkmar Sauerland, Samar Khatiwala, Anand Srivastav, and Andreas Oschlies. "Calibrating a global three-dimensional biogeochemical ocean model (MOPS-1.0)." Geoscientific Model Development 10, no. 1 (2017): 127–54. http://dx.doi.org/10.5194/gmd-10-127-2017.

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Abstract. Global biogeochemical ocean models contain a variety of different biogeochemical components and often much simplified representations of complex dynamical interactions, which are described by many ( ≈ 10 to ≈ 100) parameters. The values of many of these parameters are empirically difficult to constrain, due to the fact that in the models they represent processes for a range of different groups of organisms at the same time, while even for single species parameter values are often difficult to determine in situ. Therefore, these models are subject to a high level of parametric uncerta

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2

Bourgeois, Thimothée, James C. Orr, Laure Resplandy, et al. "Coastal-ocean uptake of anthropogenic carbon." Biogeosciences, no. 13 (July 22, 2016): 4167–85. https://doi.org/10.5194/bg-13-4167-2016.

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3

Schourup-Kristensen, V., D. Sidorenko, D. A. Wolf-Gladrow, and C. Völker. "A skill assessment of the biogeochemical model REcoM2 coupled to the finite element sea-ice ocean model (FESOM 1.3)." Geoscientific Model Development Discussions 7, no. 4 (2014): 4153–249. http://dx.doi.org/10.5194/gmdd-7-4153-2014.

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Abstract. In coupled ocean-biogeochemical models, the choice of numerical schemes in the ocean circulation component can have a large influence on the distribution of the biological tracers. Biogeochemical models are traditionally coupled to ocean general circulation models (OGCMs), which are based on dynamical cores employing quasi regular meshes, and therefore utilize limited spatial resolution in a global setting. An alternative approach is to use an unstructured-mesh ocean model, which allows variable mesh resolution. Here, we present initial results of a coupling between the Finite Elemen

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4

Assmann, K. M., M. Bentsen, J. Segschneider, and C. Heinze. "An isopycnic ocean carbon cycle model." Geoscientific Model Development Discussions 2, no. 2 (2009): 1023–79. http://dx.doi.org/10.5194/gmdd-2-1023-2009.

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Abstract. The carbon cycle is a major forcing component in the global climate system. Modelling studies aiming to explain recent and past climatic changes and to project future ones thus increasingly include the interaction between the physical and biogeochemical systems. Their ocean components are generally z-coordinate models that are conceptually easy to use but that employ a vertical coordinate that is alien to the real ocean structure. Here we present first results from a newly developed isopycnic carbon cycle model and demonstrate the viability of using an isopycnic physical component fo

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5

Holt, Jason, James Harle, Roger Proctor, et al. "Modelling the global coastal ocean." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367, no. 1890 (2008): 939–51. http://dx.doi.org/10.1098/rsta.2008.0210.

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Shelf and coastal seas are regions of exceptionally high biological productivity, high rates of biogeochemical cycling and immense socio-economic importance. They are, however, poorly represented by the present generation of Earth system models, both in terms of resolution and process representation. Hence, these models cannot be used to elucidate the role of the coastal ocean in global biogeochemical cycles and the effects global change (both direct anthropogenic and climatic) are having on them. Here, we present a system for simulating all the coastal regions around the world (the Global Coa

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6

Visinelli, L., S. Masina, M. Vichi, and A. Storto. "Impacts of physical data assimilation on the Global Ocean Carbonate System." Biogeosciences Discussions 11, no. 4 (2014): 5399–441. http://dx.doi.org/10.5194/bgd-11-5399-2014.

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Abstract. Prognostic simulations of ocean carbon distribution are largely dependent on an adequate representation of physical dynamics. In this work we show that the assimilation of temperature and salinity in a coupled ocean-biogeochemical model significantly improves the reconstruction of the carbonate system variables over the last two decades. For this purpose, we use the NEMO ocean global circulation model, coupled to the Biogeochemical Flux Model (BFM) in the global PELAGOS configuration. The assimilation of temperature and salinity is included into the coupled ocean-biogeochemical model

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Mamnun, Nabir, Christoph Völker, Sebastian Krumscheid, Mihalis Vrekoussis, and Lars Nerger. "Global sensitivity analysis of a one-dimensional ocean biogeochemical model." Socio-Environmental Systems Modelling 5 (October 6, 2023): 18613. http://dx.doi.org/10.18174/sesmo.18613.

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Ocean biogeochemical (BGC) models are a powerful tool for investigating ocean biogeochemistry and the global carbon cycle. The potential benefits emanating from BGC simulations and predictions are broad, with significant societal impacts from fisheries management to carbon dioxide removal and policy-making. These models contain numerous parameters, each coupled with large uncertainties, leading to significant uncertainty in the model outputs. This study performs a global sensitivity analysis (GSA) of an ocean BGC model to identify the uncertain parameters that impact the variability of model o

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8

Ford, David. "Assimilating synthetic Biogeochemical-Argo and ocean colour observations into a global ocean model to inform observing system design." Biogeosciences 18, no. 2 (2021): 509–34. http://dx.doi.org/10.5194/bg-18-509-2021.

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Abstract. A set of observing system simulation experiments was performed. This assessed the impact on global ocean biogeochemical reanalyses of assimilating chlorophyll from remotely sensed ocean colour and in situ observations of chlorophyll, nitrate, oxygen, and pH from a proposed array of Biogeochemical-Argo (BGC-Argo) floats. Two potential BGC-Argo array distributions were tested: one for which biogeochemical sensors are placed on all current Argo floats and one for which biogeochemical sensors are placed on a quarter of current Argo floats. Assimilating BGC-Argo data greatly improved mode

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9

Assmann, K. M., M. Bentsen, J. Segschneider, and C. Heinze. "An isopycnic ocean carbon cycle model." Geoscientific Model Development 3, no. 1 (2010): 143–67. http://dx.doi.org/10.5194/gmd-3-143-2010.

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Abstract. The carbon cycle is a major forcing component in the global climate system. Modelling studies, aiming to explain recent and past climatic changes and to project future ones, increasingly include the interaction between the physical and biogeochemical systems. Their ocean components are generally z-coordinate models that are conceptually easy to use but that employ a vertical coordinate that is alien to the real ocean structure. Here, we present first results from a newly-developed isopycnic carbon cycle model and demonstrate the viability of using an isopycnic physical component for

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10

While, J., I. Totterdell, and M. Martin. "Assimilation ofpCO2data into a global coupled physical-biogeochemical ocean model." Journal of Geophysical Research: Oceans 117, no. C3 (2012): n/a. http://dx.doi.org/10.1029/2010jc006815.

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11

Martiny, Adam C., Michael W. Lomas, Weiwei Fu, et al. "Biogeochemical controls of surface ocean phosphate." Science Advances 5, no. 8 (2019): eaax0341. http://dx.doi.org/10.1126/sciadv.aax0341.

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Surface ocean phosphate is commonly below the standard analytical detection limits, leading to an incomplete picture of the global variation and biogeochemical role of phosphate. A global compilation of phosphate measured using high-sensitivity methods revealed several previously unrecognized low-phosphate areas and clear regional differences. Both observational climatologies and Earth system models (ESMs) systematically overestimated surface phosphate. Furthermore, ESMs misrepresented the relationships between phosphate, phytoplankton biomass, and primary productivity. Atmospheric iron input

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12

Oliver, Sophy, Coralia Cartis, Iris Kriest, Simon F. B. Tett, and Samar Khatiwala. "A derivative-free optimisation method for global ocean biogeochemical models." Geoscientific Model Development 15, no. 9 (2022): 3537–54. http://dx.doi.org/10.5194/gmd-15-3537-2022.

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Abstract. The skill of global ocean biogeochemical models, and the earth system models in which they are embedded, can be improved by systematic calibration of the parameter values against observations. However, such tuning is seldom undertaken as these models are computationally very expensive. Here we investigate the performance of DFO-LS, a local, derivative-free optimisation algorithm which has been designed for computationally expensive models with irregular model–data misfit landscapes typical of biogeochemical models. We use DFO-LS to calibrate six parameters of a relatively complex glo

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Schourup-Kristensen, V., D. Sidorenko, D. A. Wolf-Gladrow, and C. Völker. "A skill assessment of the biogeochemical model REcoM2 coupled to the Finite Element Sea Ice–Ocean Model (FESOM 1.3)." Geoscientific Model Development 7, no. 6 (2014): 2769–802. http://dx.doi.org/10.5194/gmd-7-2769-2014.

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Abstract. In coupled biogeochmical–ocean models, the choice of numerical schemes in the ocean circulation component can have a large influence on the distribution of the biological tracers. Biogeochemical models are traditionally coupled to ocean general circulation models (OGCMs), which are based on dynamical cores employing quasi-regular meshes, and therefore utilize limited spatial resolution in a global setting. An alternative approach is to use an unstructured-mesh ocean model, which allows variable mesh resolution. Here, we present initial results of a coupling between the Finite Element

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14

Vichi, M., and S. Masina. "Skill assessment of the PELAGOS global ocean biogeochemistry model over the period 1980–2000." Biogeosciences Discussions 6, no. 2 (2009): 3511–62. http://dx.doi.org/10.5194/bgd-6-3511-2009.

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Abstract. Global Ocean Biogeochemistry General Circulation models are useful tools to study biogeochemical processes at gobal and large scales under current climate and future scenario conditions. The accuracy of the future estimate is however dependent on the adequate representation of the current ocean biogeochemical features. To this purpose, the results of an interannual simulation of the global ocean biogeochemical model PELAGOS have been objectively compared with multi-variate observations from the last 20 years of the XX century. The model was assessed in terms of spatial and temporal v

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15

Ridgwell, A., J. C. Hargreaves, N. R. Edwards, et al. "Marine geochemical data assimilation in an efficient Earth System Model of global biogeochemical cycling." Biogeosciences Discussions 3, no. 4 (2006): 1313–54. http://dx.doi.org/10.5194/bgd-3-1313-2006.

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Abstract. We have extended the 3-D ocean based "Grid ENabled Integrated Earth system model'' (GENIE-1) to help understand the role of ocean biogeochemistry and marine sediments in the "long-term'' (~100 to 100 000 year) regulation of atmospheric CO2, and the importance of feedbacks between CO2 and climate. Here we describe the ocean carbon cycle, which is based around a simple single nutrient (phosphate) control on biological productivity. The addition of ocean-sediment interactions is presented elsewhere (Ridgwell and Hargreaves, 2006). We have calibrated the model parameters controlling ocea

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16

Andrews, Oliver, Erik Buitenhuis, Corinne Le Quéré, and Parvadha Suntharalingam. "Biogeochemical modelling of dissolved oxygen in a changing ocean." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 375, no. 2102 (2017): 20160328. http://dx.doi.org/10.1098/rsta.2016.0328.

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Secular decreases in dissolved oxygen concentration have been observed within the tropical oxygen minimum zones (OMZs) and at mid- to high latitudes over the last approximately 50 years. Earth system model projections indicate that a reduction in the oxygen inventory of the global ocean, termed ocean deoxygenation, is a likely consequence of on-going anthropogenic warming. Current models are, however, unable to consistently reproduce the observed trends and variability of recent decades, particularly within the established tropical OMZs. Here, we conduct a series of targeted hindcast model sim

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17

Slomp, C. P., and C. Heinze. "Glacial-interglacial variability in ocean oxygen and phosphorus in a global biogeochemical model." Biogeosciences 10, no. 2 (2013): 945–58. http://dx.doi.org/10.5194/bg-10-945-2013.

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Abstract. Increased transfer of particulate matter from continental shelves to the open ocean during glacials may have had a major impact on the biogeochemistry of the ocean. Here, we assess the response of the coupled oceanic cycles of oxygen, carbon, phosphorus, and iron to the input of particulate organic carbon and reactive phosphorus from shelves. We use a biogeochemical ocean model and specifically focus on the Last Glacial Maximum (LGM). When compared to an interglacial reference run, our glacial scenario with shelf input shows major increases in ocean productivity and phosphorus burial

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18

Ridgwell, A., J. C. Hargreaves, N. R. Edwards, et al. "Marine geochemical data assimilation in an efficient Earth System Model of global biogeochemical cycling." Biogeosciences 4, no. 1 (2007): 87–104. http://dx.doi.org/10.5194/bg-4-87-2007.

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Abstract. We have extended the 3-D ocean based "Grid ENabled Integrated Earth system model" (GENIE-1) to help understand the role of ocean biogeochemistry and marine sediments in the long-term (~100 to 100 000 year) regulation of atmospheric CO2, and the importance of feedbacks between CO2 and climate. Here we describe the ocean carbon cycle, which in its first incarnation is based around a simple single nutrient (phosphate) control on biological productivity. The addition of calcium carbonate preservation in deep-sea sediments and its role in regulating atmospheric CO2 is presented elsewhere

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19

Chernov, Ilya, Alexey Tolstikov, Dmitry Blagodatskikh, and Vladimir Onoprienko. "Biological pump model for water column as a part of Earth-system model." BIO Web of Conferences 141 (2024): 03015. https://doi.org/10.1051/bioconf/202414103015.

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In this paper, we present a model of ocean ecosystem to serve as a component of the global Earth System Model. The global ocean circulation model was forced by a fixed atmospheric influence following the CORE-II protocol. Arbitrary number of advected scalars allowed configuring biogeochemical block only balancing between detailed description and computational performance. A quasi-equilibrium model of an ecosystem in a seawater column, suitable for computationally complex climate calculations, was developed, taking into account nitrogen and/or phosphorus based nutrients, gravitational depositio

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Galbraith, E. D., A. Gnanadesikan, J. P. Dunne, and M. R. Hiscock. "Regional impacts of iron-light colimitation in a global biogeochemical model." Biogeosciences 7, no. 3 (2010): 1043–64. http://dx.doi.org/10.5194/bg-7-1043-2010.

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Abstract. Laboratory and field studies have revealed that iron has multiple roles in phytoplankton physiology, with particular importance for light-harvesting cellular machinery. However, although iron-limitation is explicitly included in numerous biogeochemical/ecosystem models, its implementation varies, and its effect on the efficiency of light harvesting is often ignored. Given the complexity of the ocean environment, it is difficult to predict the consequences of applying different iron limitation schemes. Here we explore the interaction of iron and nutrient cycles in an ocean general cir

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Le Quéré, Corinne, Erik T. Buitenhuis, Róisín Moriarty, et al. "Role of zooplankton dynamics for Southern Ocean phytoplankton biomass and global biogeochemical cycles." Biogeosciences 13, no. 14 (2016): 4111–33. http://dx.doi.org/10.5194/bg-13-4111-2016.

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Abstract. Global ocean biogeochemistry models currently employed in climate change projections use highly simplified representations of pelagic food webs. These food webs do not necessarily include critical pathways by which ecosystems interact with ocean biogeochemistry and climate. Here we present a global biogeochemical model which incorporates ecosystem dynamics based on the representation of ten plankton functional types (PFTs): six types of phytoplankton, three types of zooplankton, and heterotrophic procaryotes. We improved the representation of zooplankton dynamics in our model through

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Le Quéré, C., E. T. Buitenhuis, R. Moriarty, et al. "Role of zooplankton dynamics for Southern Ocean phytoplankton biomass and global biogeochemical cycles." Biogeosciences Discussions 12, no. 14 (2015): 11935–85. http://dx.doi.org/10.5194/bgd-12-11935-2015.

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Abstract. Global ocean biogeochemistry models currently employed in climate change projections use highly simplified representations of pelagic food webs. These food webs do not necessarily include critical pathways by which ecosystems interact with ocean biogeochemistry and climate. Here we present a global biogeochemical model which incorporates ecosystem dynamics based on the representation of ten plankton functional types (PFTs); six types of phytoplankton, three types of zooplankton, and heterotrophic bacteria. We improved the representation of zooplankton dynamics in our model through (a

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23

Palastanga, V., C. P. Slomp, and C. Heinze. "Glacial-interglacial variability in ocean oxygen and phosphorus in a global biogeochemical model." Biogeosciences Discussions 9, no. 4 (2012): 4819–52. http://dx.doi.org/10.5194/bgd-9-4819-2012.

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Abstract. The importance of particulate organic carbon and phosphorus (P) delivered from shelves on open ocean productivity, oxygen, and reactive P burial during glacial times has been assessed using a biogeochemical ocean model of the carbon (C), P and iron cycles. The model shows that in simulations of the Last Glacial Maximum (LGM) without any inputs of terrigenous material from shelves there is a moderate increase in productivity (+5 %) and mean deep water oxygen (+29 %) relative to the preindustrial simulation. However, when the input of terrigenous particulate organic C and P is consider

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Jung, Hyun-Chae, Byung-Kwon Moon, Jieun Wie, Hyei-Sun Park, Johan Lee, and Young-Hwa Byun. "A single-column ocean biogeochemistry model (GOTM–TOPAZ) version 1.0." Geoscientific Model Development 12, no. 2 (2019): 699–722. http://dx.doi.org/10.5194/gmd-12-699-2019.

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Abstract. Recently, Earth system models (ESMs) have begun to consider the marine ecosystem to reduce errors in climate simulations. However, many models are unable to fully represent the ocean-biology-induced climate feedback, which is due in part to significant bias in the simulated biogeochemical properties. Therefore, we developed the Generic Ocean Turbulence Model–Tracers of Phytoplankton with Allometric Zooplankton (GOTM–TOPAZ), a single-column ocean biogeochemistry model that can be used to improve ocean biogeochemical processes in ESMs. This model was developed by combining GOTM, a sing

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Gürses, Özgür, Laurent Oziel, Onur Karakuş, et al. "Ocean biogeochemistry in the coupled ocean–sea ice–biogeochemistry model FESOM2.1–REcoM3." Geoscientific Model Development 16, no. 16 (2023): 4883–936. http://dx.doi.org/10.5194/gmd-16-4883-2023.

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Abstract. The cycling of carbon in the oceans is affected by feedbacks driven by changes in climate and atmospheric CO2. Understanding these feedbacks is therefore an important prerequisite for projecting future climate. Marine biogeochemistry models are a useful tool but, as with any model, are a simplification and need to be continually improved. In this study, we coupled the Finite-volumE Sea ice–Ocean Model (FESOM2.1) to the Regulated Ecosystem Model version 3 (REcoM3). FESOM2.1 is an update of the Finite-Element Sea ice–Ocean Model (FESOM1.4) and operates on unstructured meshes. Unlike st

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Gutknecht, Elodie, Guillaume Reffray, Marion Gehlen, Iis Triyulianti, Dessy Berlianty, and Philippe Gaspar. "Evaluation of an operational ocean model configuration at 1/12° spatial resolution for the Indonesian seas (NEMO2.3/INDO12) – Part 2: Biogeochemistry." Geoscientific Model Development 9, no. 4 (2016): 1523–43. http://dx.doi.org/10.5194/gmd-9-1523-2016.

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Abstract. In the framework of the INDESO (Infrastructure Development of Space Oceanography) project, an operational ocean forecasting system was developed to monitor the state of the Indonesian seas in terms of circulation, biogeochemistry and fisheries. This forecasting system combines a suite of numerical models connecting physical and biogeochemical variables to population dynamics of large marine predators (tunas). The physical–biogeochemical coupled component (the INDO12BIO configuration) covers a large region extending from the western Pacific Ocean to the eastern Indian Ocean at 1/12° h

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Galbraith, E. D., A. Gnanadesikan, J. P. Dunne, and M. R. Hiscock. "Regional impacts of iron-light colimitation in a global biogeochemical model." Biogeosciences Discussions 6, no. 4 (2009): 7517–64. http://dx.doi.org/10.5194/bgd-6-7517-2009.

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Abstract. Laboratory and field studies have revealed that iron has multiple roles in phytoplankton physiology, with particular importance for light-harvesting cellular machinery. However, although iron-limitation is explicitly included in numerous biogeochemical/ecosystem models, its implementation varies, and its effect on the efficiency of light harvesting is often ignored. Given the complexity of the ocean environment, it is difficult to predict the consequences of applying different iron limitation schemes. Here we explore the interaction of iron and nutrient cycles using a new, streamline

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Kriest, Iris, Julia Getzlaff, Angela Landolfi, Volkmar Sauerland, Markus Schartau, and Andreas Oschlies. "Exploring the role of different data types and timescales in the quality of marine biogeochemical model calibration." Biogeosciences 20, no. 13 (2023): 2645–69. http://dx.doi.org/10.5194/bg-20-2645-2023.

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Abstract. Global biogeochemical ocean models help to investigate the present and potential future state of the ocean, its productivity and cascading effects on higher trophic levels such as fish. They are often subjectively tuned against data sets of inorganic tracers and surface chlorophyll and only very rarely against organic components such as particulate organic carbon or zooplankton. The resulting uncertainty in biogeochemical model parameters (and parameterisations) associated with these components can explain some of the large spread of global model solutions with regard to the cycling

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Zhang, Le, and Z. George Xue. "A Numerical reassessment of the Gulf of Mexico carbon system in connection with the Mississippi River and global ocean." Biogeosciences 19, no. 18 (2022): 4589–618. http://dx.doi.org/10.5194/bg-19-4589-2022.

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Abstract. Coupled physical–biogeochemical models can fill the spatial and temporal gap in ocean carbon observations. Challenges of applying a coupled physical–biogeochemical model in the regional ocean include the reasonable prescription of carbon model boundary conditions, lack of in situ observations, and the oversimplification of certain biogeochemical processes. In this study, we applied a coupled physical–biogeochemical model (Regional Ocean Modelling System, ROMS) to the Gulf of Mexico (GoM) and achieved an unprecedented 20-year high-resolution (5 km, 1/22∘) hindcast covering the period

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Bernard, C. Y., H. H. Dürr, C. Heinze, J. Segschneider, and E. Maier-Reimer. "Contribution of riverine nutrients to the silicon biogeochemistry of the global ocean – a model study." Biogeosciences Discussions 6, no. 1 (2009): 1091–119. http://dx.doi.org/10.5194/bgd-6-1091-2009.

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Abstract. Continental shelf seas are known to support a large fraction of the global primary production. Yet, continental shelf areas are mostly ignored or neglected in global biogeochemical models. A number of processes that control the transfer of dissolved nutrients from river to the open ocean remain poorly understood. This applies in particular to dissolved silica which drives the growth of diatoms that form a large part of the phytoplankton biomass and are thus an important contributor to export production of carbon. Here, the representation of the biogeochemical state along continents i

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Bernard, C. Y., H. H. Dürr, C. Heinze, J. Segschneider, and E. Maier-Reimer. "Contribution of riverine nutrients to the silicon biogeochemistry of the global ocean – a model study." Biogeosciences Discussions 7, no. 3 (2010): 4919–51. http://dx.doi.org/10.5194/bgd-7-4919-2010.

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Abstract. Continental shelf seas are known to support a large fraction of the global primary production. Yet, continental shelf areas are mostly ignored or neglected in global biogeochemical models. A number of processes that control the transfer of dissolved nutrients from rivers to the open ocean remain poorly understood. This applies in particular to dissolved silica which drives the growth of diatoms that form a large part of the phytoplankton biomass and are thus an important contributor to export production of carbon. Here, the representation of the biogeochemical cycling along continent

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Bernard, C. Y., H. H. Dürr, C. Heinze, J. Segschneider, and E. Maier-Reimer. "Contribution of riverine nutrients to the silicon biogeochemistry of the global ocean – a model study." Biogeosciences 8, no. 3 (2011): 551–64. http://dx.doi.org/10.5194/bg-8-551-2011.

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Abstract. Continental shelf seas are known to support a large fraction of the global primary production. Yet, they are mostly ignored or neglected in global biogeochemical models. A number of processes that control the transfer of dissolved nutrients from rivers to the open ocean remain poorly understood. This applies in particular to dissolved silica which drives the growth of diatoms that form a large part of the phytoplankton biomass and are thus an important contributor to export production of carbon. Here, the representation of the biogeochemical cycling along continents is improved by co

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Kriest, Iris, Paul Kähler, Wolfgang Koeve, Karin Kvale, Volkmar Sauerland, and Andreas Oschlies. "One size fits all? Calibrating an ocean biogeochemistry model for different circulations." Biogeosciences 17, no. 12 (2020): 3057–82. http://dx.doi.org/10.5194/bg-17-3057-2020.

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Abstract. Global biogeochemical ocean models are often tuned to match the observed distributions and fluxes of inorganic and organic quantities. This tuning is typically carried out “by hand”. However, this rather subjective approach might not yield the best fit to observations, is closely linked to the circulation employed and is thus influenced by its specific features and even its faults. We here investigate the effect of model tuning, via objective optimisation, of one biogeochemical model of intermediate complexity when simulated in five different offline circulations. For each circulatio

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Morée, Anne L., Jörg Schwinger та Christoph Heinze. "Southern Ocean controls of the vertical marine <i>δ</i><sup>13</sup>C gradient – a modelling study". Biogeosciences 15, № 23 (2018): 7205–23. http://dx.doi.org/10.5194/bg-15-7205-2018.

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Abstract. δ13C, the standardised 13C ∕ 12C ratio expressed in per mille, is a widely used ocean tracer to study changes in ocean circulation, water mass ventilation, atmospheric pCO2, and the biological carbon pump on timescales ranging from decades to tens of millions of years. δ13C data derived from ocean sediment core analysis provide information on δ13C of dissolved inorganic carbon and the vertical δ13C gradient (i.e. Δδ13C) in past oceans. In order to correctly interpret δ13C and Δδ13C variations, a good understanding is needed of the influence from ocean circulation, air–sea gas exchang

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Koeve, W., O. Duteil, A. Oschlies, P. Kähler, and J. Segschneider. "Evaluating CaCO<sub>3</sub>-cycle modules in coupled global biogeochemical ocean models." Geoscientific Model Development Discussions 6, no. 4 (2013): 6117–55. http://dx.doi.org/10.5194/gmdd-6-6117-2013.

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Abstract. The marine CaCO3 cycle is an important component of the oceanic carbon system and directly affects the cycling of natural and the uptake of anthropogenic carbon. In numerical models of the marine carbon cycle, the CaCO3 cycle component is often evaluated against the observed distribution of alkalinity. Alkalinity varies in response to the formation and remineralisation of CaCO3 and organic matter. However, it also has a large conservative component, which may strongly be affected by a deficient representation of ocean physics (circulation, evaporation, and precipitation) in models. H

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Chernov, Ilya A., and Nikolay G. Iakovlev. "Coupling the Earth system model INMCM with the biogeochemical flux model." Russian Journal of Numerical Analysis and Mathematical Modelling 33, no. 6 (2018): 325–31. http://dx.doi.org/10.1515/rnam-2018-0027.

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Abstract In the present paper we consider the first results of modelling the World Ocean biogeochemistry system within the framework of the Earth system model: a global atmosphere-ocean-ice-land-biogeochemistry model. It is based on the INMCM climate model (version INMCM39) coupled with the pelagic ecosystem model BFM. The horizontal resolution was relatively low: 2∘ × 2.5∘ for the ‘longitude’ and ‘latitude’ in transformed coordinates with the North Pole moved to land, 33 non-equidistant σ-horizons, 1 hour time step. We have taken into account 54 main rivers worldwide with run–off supplied by

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Paulmier, A., I. Kriest, and A. Oschlies. "Stoichiometries of remineralisation and denitrification in global biogeochemical ocean models." Biogeosciences 6, no. 5 (2009): 923–35. http://dx.doi.org/10.5194/bg-6-923-2009.

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Abstract. Since the seminal paper of Redfield (1934), constant stoichiometric elemental ratios linking biotic carbon and nutrient fluxes are often assumed in marine biogeochemistry, and especially in coupled biogeochemical circulation models, to couple the global oxygen, carbon and nutrient cycles. However, when looking in more detail, some deviations from the classical Redfield stoichiometry have been reported, in particular with respect to remineralization of organic matter changing with depth or with ambient oxygen levels. We here compare the assumptions about the stoichiometry of organic m

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Vichi, M., and S. Masina. "Skill assessment of the PELAGOS global ocean biogeochemistry model over the period 1980–2000." Biogeosciences 6, no. 11 (2009): 2333–53. http://dx.doi.org/10.5194/bg-6-2333-2009.

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Abstract. Global Ocean Biogeochemistry General Circulation Models are useful tools to study biogeochemical processes at global and large scales under current climate and future scenario conditions. The credibility of future estimates is however dependent on the model skill in capturing the observed multi-annual variability of firstly the mean bulk biogeochemical properties, and secondly the rates at which organic matter is processed within the food web. For this double purpose, the results of a multi-annual simulation of the global ocean biogeochemical model PELAGOS have been objectively compa

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Koeve, W., O. Duteil, A. Oschlies, P. Kähler, and J. Segschneider. "Methods to evaluate CaCO<sub>3</sub> cycle modules in coupled global biogeochemical ocean models." Geoscientific Model Development 7, no. 5 (2014): 2393–408. http://dx.doi.org/10.5194/gmd-7-2393-2014.

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Abstract. The marine CaCO3 cycle is an important component of the oceanic carbon system and directly affects the cycling of natural and the uptake of anthropogenic carbon. In numerical models of the marine carbon cycle, the CaCO3 cycle component is often evaluated against the observed distribution of alkalinity. Alkalinity varies in response to the formation and remineralization of CaCO3 and organic matter. However, it also has a large conservative component, which may strongly be affected by a deficient representation of ocean physics (circulation, evaporation, and precipitation) in models. H

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Aumont, Olivier, Marco van Hulten, Matthieu Roy-Barman, Jean-Claude Dutay, Christian Éthé, and Marion Gehlen. "Variable reactivity of particulate organic matter in a global ocean biogeochemical model." Biogeosciences 14, no. 9 (2017): 2321–41. http://dx.doi.org/10.5194/bg-14-2321-2017.

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Abstract. The marine biological carbon pump is dominated by the vertical transfer of particulate organic carbon (POC) from the surface ocean to its interior. The efficiency of this transfer plays an important role in controlling the amount of atmospheric carbon that is sequestered in the ocean. Furthermore, the abundance and composition of POC is critical for the removal of numerous trace elements by scavenging, a number of which, such as iron, are essential for the growth of marine organisms, including phytoplankton. Observations and laboratory experiments have shown that POC is composed of n

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Sommeria-Klein, Guilhem, Romain Watteaux, Federico M. Ibarbalz, et al. "Global drivers of eukaryotic plankton biogeography in the sunlit ocean." Science 374, no. 6567 (2021): 594–99. http://dx.doi.org/10.1126/science.abb3717.

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Circulating in the sunlit ocean Marine plankton, which lie at the base of oceanic food chains, drive global biogeochemical fluxes, and knowledge of their distribution is key to understanding the response of oceans to environmental changes. Sommeria-Klein et al . explored the patterns and drivers of biogeography in eukaryotic plankton using a probabilistic model of taxon co-occurrence to compare the biogeography of 70 major groups, including a variety of size fractions and ecologies. The analysis is based on metabarcoding data from 129 stations in several oceanic provinces worldwide. Samples ar

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Arndt, S., P. Regnier, Y. Goddéris, and Y. Donnadieu. "GEOCLIM <i>reloaded</i> (v 1.0): a new coupled earth system model for past climate change." Geoscientific Model Development 4, no. 2 (2011): 451–81. http://dx.doi.org/10.5194/gmd-4-451-2011.

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Abstract. We present a new version of the coupled Earth system model GEOCLIM. The new release, GEOCLIM reloaded (v 1.0), links the existing atmosphere and weathering modules to a novel, temporally and spatially resolved model of the global ocean circulation, which provides a physical framework for a mechanistic description of the marine biogeochemical dynamics of carbon, nitrogen, phosphorus and oxygen. The ocean model is also coupled to a fully formulated, vertically resolved diagenetic model. GEOCLIM reloaded is thus a unique tool to investigate the short- and long-term feedbacks between cli

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Arndt, S., P. Regnier, Y. Goddéris, and Y. Donnadieu. "GEOCLIM <i>reloaded</i> (v 1.0): a new coupled earth system model for past climate change." Geoscientific Model Development Discussions 3, no. 4 (2010): 2109–87. http://dx.doi.org/10.5194/gmdd-3-2109-2010.

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Abstract. We present a new version of the coupled Earth system model GEOCLIM. The new release, GEOCLIM reloaded, links the existing atmosphere and weathering modules to a novel, temporally and spatially resolved model of the global ocean circulation, which provides a physical framework for a mechanistic description of the marine biogeochemical dynamics of carbon, nitrogen, phosphorus and oxygen. The ocean model is also coupled to a fully formulated, vertically resolved diagenetic model. GEOCLIM reloaded is thus a unique tool to investigate the short- and long-term feedbacks between climatic co

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Gehlen, M., L. Bopp, N. Emprin, O. Aumont, C. Heinze, and O. Ragueneau. "Reconciling surface ocean productivity, export fluxes and sediment composition in a global biogeochemical ocean model." Biogeosciences 3, no. 4 (2006): 521–37. http://dx.doi.org/10.5194/bg-3-521-2006.

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Abstract. This study focuses on an improved representation of the biological soft tissue pump in the global three-dimensional biogeochemical ocean model PISCES. We compare three parameterizations of particle dynamics: (1) the model standard version including two particle size classes, aggregation-disaggregation and prescribed sinking speed; (2) an aggregation-disaggregation model with a particle size spectrum and prognostic sinking speed; (3) a mineral ballast parameterization with no size classes, but prognostic sinking speed. In addition, the model includes a description of surface sediments

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Eddebbar, Yassir A., Keith B. Rodgers, Matthew C. Long, Aneesh C. Subramanian, Shang-Ping Xie, and Ralph F. Keeling. "El Niño–Like Physical and Biogeochemical Ocean Response to Tropical Eruptions." Journal of Climate 32, no. 9 (2019): 2627–49. http://dx.doi.org/10.1175/jcli-d-18-0458.1.

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AbstractThe oceanic response to recent tropical eruptions is examined in Large Ensemble (LE) experiments from two fully coupled global climate models, the Community Earth System Model (CESM) and the Geophysical Fluid Dynamics Laboratory Earth System Model (ESM2M), each forced by a distinct volcanic forcing dataset. Following the simulated eruptions of Agung, El Chichón, and Pinatubo, the ocean loses heat and gains oxygen and carbon, in general agreement with available observations. In both models, substantial global surface cooling is accompanied by El Niño–like equatorial Pacific surface warm

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Gehlen, M., L. Bopp, N. Emprin, O. Aumont, C. Heinze, and O. Ragueneau. "Reconciling surface ocean productivity, export fluxes and sediment composition in a global biogeochemical ocean model." Biogeosciences Discussions 3, no. 3 (2006): 803–36. http://dx.doi.org/10.5194/bgd-3-803-2006.

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Abstract. This study focuses on an improved representation of the biological soft tissue pump in the global three-dimensional biogeochemical ocean model PISCES. We compare three parameterizations of particle dynamics: (1) the model standard version including two particle size classes, aggregation-disaggregation and prescribed sinking speed; (2) an aggregation-disaggregation model with a particle size spectrum and prognostic sinking speed; (3) a mineral ballast parameterization with no size classes, but prognostic sinking speed. In addition, the model includes a description of surface sediments

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Gregg, Watson W., Paul Ginoux, Paul S. Schopf, and Nancy W. Casey. "Phytoplankton and iron: validation of a global three-dimensional ocean biogeochemical model." Deep Sea Research Part II: Topical Studies in Oceanography 50, no. 22-26 (2003): 3143–69. http://dx.doi.org/10.1016/j.dsr2.2003.07.013.

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Gutknecht, E., G. Reffray, M. Gehlen, I. Triyulianti, D. Berlianty, and P. Gaspar. "Evaluation of an operational ocean model configuration at 1/12° spatial resolution for the Indonesian seas – Part 2: Biogeochemistry." Geoscientific Model Development Discussions 8, no. 8 (2015): 6669–706. http://dx.doi.org/10.5194/gmdd-8-6669-2015.

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Abstract. In the framework of the INDESO (Infrastructure evelopment of Space Oceanography) project, an operational ocean forecasting system was developed to monitor the state of the Indonesian seas in terms of circulation, biogeochemistry and fisheries. This forecasting system combines a suite of numerical models connecting physical and biogeochemical variables to population dynamics of large marine predators (tunas). The physical/biogeochemical coupled component (INDO12BIO configuration) covers a large region extending from the western Pacific Ocean to the Eastern Indian Ocean at 1/12° resolu

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Kriest, I., and A. Oschlies. "Swept under the carpet: the effect of organic matter burial in global biogeochemical ocean models." Biogeosciences Discussions 10, no. 7 (2013): 10859–911. http://dx.doi.org/10.5194/bgd-10-10859-2013.

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Abstract. Although of substantial importance for marine tracer distributions and eventually global carbon, oxygen, and nitrogen fluxes, the interaction between sinking and remineralization of organic matter, benthic fluxes and burial is not always represented consistently in global biogeochemical models. We here aim to investigate the relationships between these processes with a suite of global biogeochemical models, each simulated over millennia, and compared against observed distributions of pelagic tracers and benthic and pelagic fluxes. We concentrate on the representation of sediment-wate

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Morée, Anne L., Jörg Schwinger, Ulysses S. Ninnemann, Aurich Jeltsch-Thömmes, Ingo Bethke та Christoph Heinze. "Evaluating the biological pump efficiency of the Last Glacial Maximum ocean using <i>δ</i><sup>13</sup>C". Climate of the Past 17, № 2 (2021): 753–74. http://dx.doi.org/10.5194/cp-17-753-2021.

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Abstract. Although both physical and biological marine changes are required to explain the 100 ppm lower atmospheric pCO2 of the Last Glacial Maximum (LGM, ∼21 ka) as compared to preindustrial (PI) times, their exact contributions are debated. Proxies of past marine carbon cycling (such as δ13C) document these changes and thus provide constraints for quantifying the drivers of long-term carbon cycle variability. This modeling study discusses the physical and biological changes in the ocean needed to simulate an LGM ocean in satisfactory agreement with proxy data, here focusing especially on δ1

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