Gotowe bibliografie tematyczne / Global ocean biogeochemical model

Spis treści

  1. Artykuły w czasopismach
  2. Rozprawy doktorskie
  3. Książki
  4. Części książek
  5. Streszczenia konferencji
  6. Raporty organizacyjne

Gotowa bibliografia na temat „Global ocean biogeochemical model”

Autor: Grafiati
Data publikacji: 3 czerwca 2025
Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Global ocean biogeochemical model"

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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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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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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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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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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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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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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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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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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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Rozprawy doktorskie na temat "Global ocean biogeochemical model"

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Manighetti, Barbara. "The glacial to holocene sedimentary regime in the Northeast Atlantic Ocean." Thesis, University of Cambridge, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.308359.

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Maggiorano, Anna. "Solar radiation penetration in biogeochemical model of the coastal ocean. Numerical experiments." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13542/.

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This study focus on the analysis of different algorithms used to describe underwater light attenuation in the coastal ocean and their impact on primary production processes in a numerical coupled model of the marine biogeochemical dynamics. Light parameterizations (novel and literature based) were embedded into the BFM-POM one dimensional modelling system. Results indicated that better representation of the light vertical profiles are obtained with a double exponential formulation, particu- larly when parameterized on the basis of extensive in situ data. Better representation of the light env
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Arcamone, Roberto. "Hurricane induced changes in the ocean ecosystem with a coupled physical-biogeochemical model." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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A thesis work is presented in which a coupled model of physics and biogeochemistry, BFM17-POM1D, is used in order to simulate the ocean dynamics in two areas of the Sargasso Sea and describe the impact of a hurricane on the marine ecosystem. The biogeochemical model tracks 17 state variables, divided into five living functional groups: phytoplankton, zooplankton, dissolved and particulate organic matter, and finally the nutrients. We focus our attention on the evolution of nutrients and oxygen in order to understand how variations in the physical forcing can change the concentrations in both t
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Long, Erik Christopher. "An analysis of an eddy-resolving global ocean model in the tropical Indian Ocean." Thesis, Monterey, California : Naval Postgraduate School, 1990. http://handle.dtic.mil/100.2/ADA241009.

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Thesis (M.S. in Meterology and Physical Oceanography)--Naval Postgraduate School, September 1990.<br>Thesis Advisor(s): Semtner, Albert J. Jr. Second Reader: Batteen, Mary L. "September 1990." Description based on title screen as viewed on March 19, 2010. DTIC Descriptors: Climatology, Currents, Cycles, East (Direction), Equations, Equatorial Regions, Global, Heat Flux, Horizontal Orientation, Indian Ocean, Invariance, Mass, Mean, Models, Monsoons, Ocean Currents, Ocean Models, Resolution, Seasonal Variations, Simulation, Surface Temperature, Temperature, Tropical Regions, Velocity, West (Dire
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Xu, Yongfu. "A study of the biogeochemical cycle of CO←2 in the ocean using a parcel model." Thesis, University of East Anglia, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.256896.

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Werner, Christian. "Compilation of a global N2O emission inventory for tropical rainforest soils using a detailed biogeochemical model." Karlsruhe : Forschungszentrum Karlsruhe, 2007. http://d-nb.info/986508675/34.

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Hosoe, Taro. "Stability of the global thermohaline circulation in an intermediate complexity ocean model." Thesis, University of Southampton, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.401832.

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Vogt, Linus. "The role of the upper ocean for global ocean heat uptake and climate." Electronic Thesis or Diss., Sorbonne université, 2024. https://theses.hal.science/tel-04951110.

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Le climat terrestre connaît actuellement des changements rapides et généralisés. Les activités humaines depuis l'ère industrielle, en particulier les émissions de CO2 dans l'atmosphère dues à la combustion de combustibles fossiles, ont intensifié l'effet de serre. Cela a entraîné une augmentation de la température moyenne de l'air à la surface du globe de 1.1°C en 2011-2020 par rapport à 1850-1900. Une autre conséquence majeure est le réchauffement des océans mondiaux, qui ont absorbé plus de 90% de l'énergie excédentaire accumulée dans le système climatique en raison de l'augmentation du forç
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Tokmakian, Robin Telrud. "The assimilation of satellite altimeter data into a global eddy resolving ocean model." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1997. http://handle.dtic.mil/100.2/ADA333483.

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Dissertation (Ph.D. in Physical Oceanography)--Naval Postgraduate School, June 1997.<br>Dissertation supervisor: Semtner, Albert J. Includes bibliographical references (p. 165-168). Also Available online.
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Marble, Douglas Craig. "A model analysis of potential vorticity on isopycnal surfaces for the global ocean." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1993. http://handle.dtic.mil/100.2/ADA275047.

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Thesis (M.S. in Meteorology and Physical Oceanography) Naval Postgraduate School, September 1993.<br>Thesis advisor(s): Semtner, Albert J. "September 1993." Bibliography: p. 33-35. Also available online.
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Książki na temat "Global ocean biogeochemical model"

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Center, Goddard Space Flight, ed. A coupled ocean general circulation, biogeochemical, and radiative model of the global oceans: Seasonal distributions of ocean chlorophyll and nutrients. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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Evans, Geoffrey T., and Michael J. R. Fasham, eds. Towards a Model of Ocean Biogeochemical Processes. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-84602-1.

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1948-, Evans Geoffrey T., Fasham M. J. R, North Atlantic Treaty Organization. Scientific Affairs Division., and NATO Advanced Research Workshop Towards a Model of Ocean Biogeochemical Processes (1992 : Château de Bonas, France), eds. Towards a model of ocean biogeochemical processes. Springer-Verlag, 1993.

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Zhou, Tianjun, Yongqiang Yu, Yimin Liu, and Bin Wang, eds. Flexible Global Ocean-Atmosphere-Land System Model. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41801-3.

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Xu, Yongfu. A study of the biogeochemical cycle of CO2 in the ocean using a parcel model. University of East Anglia, 1990.

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Schiller, Andreas. A global ocean general circulation model for climate variability studies. CSIRO Marine Laboratories, 1997.

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Center, Goddard Space Flight, ed. A Global Ocean Tide model from TOPEX/POSEIDON altimetry: GOT99.2. National Aeronautics and Space Administration, Goddard Space Flight Center, 1999.

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Natural Environment Research Council. Marine Sciences Directorate., ed. Oceans and the global carbon cycle: An introduction to the Biogeochemical Ocean Flux Study of NERC Marine Sciences Directorate. Natural Environment Research Council, 1989.

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Tokmakian, Robin Telrud. The assimilation of satellite altimeter data into a global eddy resolving ocean model. Naval Postgraduate School, 1997.

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Gordon, Lawrence Joseph. Analysis of a simulation of the seasonal cycle in the tropical Pacific Ocean in an eddy-resolving global ocean model. Naval Postgraduate School, 1992.

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Części książek na temat "Global ocean biogeochemical model"

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Field, J., B. Kagan, C. Lin, et al. "Global Extrapolation." In Towards a Model of Ocean Biogeochemical Processes. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-84602-1_2.

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Winguth, A. M. E., D. Archer, E. Maier-Reimer, and U. Mikolajewicz. "Paleonutrient data analysis of the glacial Atlantic using an adjoint ocean general circulation model." In Inverse Methods in Global Biogeochemical Cycles. American Geophysical Union, 2000. http://dx.doi.org/10.1029/gm114p0171.

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Sharada, M. K., and K. S. Yajnik. "Comparison of simulations of a marine ecosystem model with CZCS data in the North Indian Ocean." In Inverse Methods in Global Biogeochemical Cycles. American Geophysical Union, 2000. http://dx.doi.org/10.1029/gm114p0197.

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Marchal, Olivier, Thomas F. Stocker, and Fortunat Joos. "Physical and biogeochemical responses to freshwater-induced thermohaline variability in a zonally averaged ocean model." In Mechanisms of Global Climate Change at Millennial Time Scales. American Geophysical Union, 1999. http://dx.doi.org/10.1029/gm112p0263.

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Evans, Geoffrey T., and Michael J. R. Fasham. "Themes in Modelling Ocean Biogeochemical Processes." In Towards a Model of Ocean Biogeochemical Processes. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-84602-1_1.

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Ishizaka, Joji. "Data Assimilation for Biogeochemical Models." In Towards a Model of Ocean Biogeochemical Processes. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-84602-1_14.

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Saltzman, Eric S. "Ocean/Atmosphere Cycling of Dimethylsulfide." In Ice Core Studies of Global Biogeochemical Cycles. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-51172-1_4.

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Lewis, Marlon R. "Satellite Ocean Color Observations of Global Biogeochemical Cycles." In Primary Productivity and Biogeochemical Cycles in the Sea. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4899-0762-2_9.

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Lancelot, C., M. Fasham, L. Legendre, G. Radach, M. Scott, and David L. Kirchman. "Dissolved Organic Matter in Biogeochemical Models of the Ocean." In Towards a Model of Ocean Biogeochemical Processes. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-84602-1_10.

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Jackson, G., F. Joos, P. Nival, J. Rodriguez, U. Wolf, and P. Tett. "Modelling Particle Fluxes." In Towards a Model of Ocean Biogeochemical Processes. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-84602-1_11.

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Streszczenia konferencji na temat "Global ocean biogeochemical model"

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Wei, Junlin, Xiang Han, Jiangfeng Yu, et al. "A Performance-Portable Kilometer-Scale Global Ocean Model on ORISE and New Sunway Heterogeneous Supercomputers." In SC24: International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 2024. https://doi.org/10.1109/sc41406.2024.00009.

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Hawco, Nick, Alessandro Tagliabue, and Benjamin Twining. "Investigating Phytoplankton Manganese Limitation in the Southern Ocean with a Global Biogeochemical Model." In Goldschmidt2022. European Association of Geochemistry, 2022. http://dx.doi.org/10.46427/gold2022.10268.

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"Using deep learning methods to create translators between biogeochemical models, improving regional ocean model global integration." In 25th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 2023. http://dx.doi.org/10.36334/modsim.2023.mongin.

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Somes, Christopher, Andew Dale, Klaus Wallmann, et al. "Constraining global marine iron source and scavenging fluxes with GEOTRACES dissolved iron measurements in an ocean biogeochemical model." In Goldschmidt2021. European Association of Geochemistry, 2021. http://dx.doi.org/10.7185/gold2021.4140.

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Jakuba, Michael V., John A. Breier, Daniel Gomez-Ibanez, Kaitlyn Tradd, and Mak A. Saito. "Clio: An Autonomous Vertical Sampling Vehicle for Global Ocean Biogeochemical Mapping." In 2018 IEEE/OES Autonomous Underwater Vehicle Workshop (AUV). IEEE, 2018. http://dx.doi.org/10.1109/auv.2018.8729797.

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Haley, P. J., A. Gupta, C. Mirabito, and P. F. J. Lermusiaux. "Towards Bayesian Ocean Physical- Biogeochemical- Acidification Prediction and Learning Systems for Massachusetts Bay." In Global Oceans 2020: Singapore - U.S. Gulf Coast. IEEE, 2020. http://dx.doi.org/10.1109/ieeeconf38699.2020.9389210.

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Carter, Samantha, Elizabeth M. Griffith, Arne Winguth, and Teresa Beaty. "EXPLORING CONTROLS ON THE MARINE BARIUM CYCLE USING A SPATIALLY RESOLVED OCEAN BIOGEOCHEMICAL MODEL." In GSA 2020 Connects Online. Geological Society of America, 2020. http://dx.doi.org/10.1130/abs/2020am-358266.

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Krause, Alexander, Stephen Hunter, Zhen Xu, Khushboo Gurung, Benjamin Mills, and Andrew Merdith. "SCION 2.0: A new biogeochemical model for investigating atmosphere and ocean oxygenation across the Phanerozoic." In Goldschmidt 2024. Geochemical Society, 2024. https://doi.org/10.46427/gold2024.23778.

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Sasaki, Wataru, Ryo Onishi, Keiko Takahashi, and Hirotmitsu Fuchigami. "Impact of ocean coupling on typhoon prediction in high-resolution nonhydrostatic global model." In 2016 Techno-Ocean (Techno-Ocean). IEEE, 2016. http://dx.doi.org/10.1109/techno-ocean.2016.7890683.

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Jacobs, Gregg A., Joseph M. D'Addezio, Hans E. Ngodock, and Innocent Souopgui. "Observation and model resolution implication to ocean prediction." In Global Oceans 2020: Singapore - U.S. Gulf Coast. IEEE, 2020. http://dx.doi.org/10.1109/ieeeconf38699.2020.9389409.

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Raporty organizacyjne na temat "Global ocean biogeochemical model"

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Seifert, Miriam, Claudia Hinrichs, Judith Hauck, and Christoph Völker. New / improved model parametrizations for responses in phytoplankton growth and calcification to changes in alkalinity implemented. OceanNets, 2023. http://dx.doi.org/10.3289/oceannets_d4.5.

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Global biogeochemical ocean models that are currently in place to investigate alkalinity enhancement at a global scale do usually not consider the effects of a changing carbonate system on phytoplankton. We introduce new and modified parameterizations of phytoplankton carbonate systems sensitivities into the biogeochemistry model REcoM. We then compare phytoplankton biomass and net primary production at different atmospheric CO2 concentrations to results from other deliverables (D5.3, 5.6, 5.7) based on experiments and models. The resilience of phytoplankton biomass towards low CO2 concentrati
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Rémy, Elisabeth, Romain Escudier, and Alexandre Mignot. Access impact of observations. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d4.8.

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The accuracy of the Copernicus Marine Environment and Monitoring Service (CMEMS) ocean analysis and forecasts highly depend on the availability and quality of observations to be assimilated. In situ observations are complementary to satellite observations that are restricted to the ocean surface. Higher resolution model forecasts are required by users of the CMEMS global and regional ocean analysis and forecasts. To support this with an efficient observational constrain of the model forecast via data assimilation, an increase observation coverage is needed, associated with an improved usage of
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Taucher, Jan, and Markus Schartau. Report on parameterizing seasonal response patterns in primary- and net community production to ocean alkalinization. OceanNETs, 2021. http://dx.doi.org/10.3289/oceannets_d5.2.

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We applied a 1-D plankton ecosystem-biogeochemical model to assess the impacts of ocean alkalinity enhancement (OAE) on seasonal changes in biogeochemistry and plankton dynamics. Depending on deployment scenarios, OAE should theoretically have variable effects on pH and seawater pCO2, which might in turn affect (a) plankton growth conditions and (b) the efficiency of carbon dioxide removal (CDR) via OAE. Thus, a major focus of our work is how different magnitudes and temporal frequencies of OAE might affect seasonal response patterns of net primary productivity (NPP), ecosystem functioning and
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Taucher, Jan, and Markus Schartau. Report on parameterizing seasonal response patterns in primary- and net community production to ocean alkalinization. OceanNETs, 2021. http://dx.doi.org/10.3289/oceannets_d5.3.

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We applied a 1-D plankton ecosystem-biogeochemical model to assess the impacts of ocean alkalinity enhancement (OAE) on seasonal changes in biogeochemistry and plankton dynamics. Depending on deployment scenarios, OAE should theoretically have variable effects on pH and seawater pCO2, which might in turn affect (a) plankton growth conditions and (b) the efficiency of carbon dioxide removal (CDR) via OAE. Thus, a major focus of our work is how different magnitudes and temporal frequencies of OAE might affect seasonal response patterns of net primary productivity (NPP), ecosystem functioning and
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Hurlburt, Harley E. U.S. GODAE: Global Ocean Prediction with the HYbrid Coordinate Ocean Model. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada534007.

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Hurlburt, Harley E. U.S. GODAE: Global Ocean Prediction with the HYbrid Coordinate Ocean Model. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada631054.

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Hurlburt, Harley E. U.S. GODAE: Global Ocean Prediction with the HYbrid Coordinate Ocean Model. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada572655.

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Hurlburt, Harley E. U.S. GODAE: Global Ocean Prediction with the HYbrid Coordinate Ocean Model. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada482631.

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Chassignet, Eric P. U.S. GODAE: Global Ocean Prediction with the Hybrid Coordinate Ocean Model (HYCOM). Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada573383.

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Chassignet, Eric P. U.S. GODAE: Global Ocean Prediction with the Hybrid Coordinate Ocean Model (HYCOM). Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada482374.

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