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  • 11
    Keywords: Hochschulschrift
    Description / Table of Contents: Zs.-Fassung ; Abstract
    Type of Medium: Online Resource
    Pages: Online-Ressource (VI, 127 S. = 6.22 MB, Text) , Ill., graph. Darst.
    Edition: [Electronic ed.]
    Language: English
    Note: Kiel, Univ., Diss., 2001
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  • 12
    Keywords: Hochschulschrift ; Aufsatzsammlung ; Atlantischer Ozean Nord ; Meeresströmung
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (164 Seiten = 13 MB) , Illustrationen, Graphen, Karten
    Edition: Online-Ausgabe
    Language: English
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  • 13
    Publication Date: 2022-09-19
    Description: The Joint Global Ocean Flux Study (JGOFS) has completed a decade of intensive process and time-series studies on the regional and temporal dynamics of biogeochemical processes in five diverse ocean basins. Its field program also included a global survey of dissolved inorganic carbon (DIC) in the ocean, including estimates of the exchange of carbon dioxide (CO2) between the ocean and the atmosphere, in cooperation with the World Ocean Circulation Experiment (WOCE). This report describes the principal achievements of JGOFS in ocean observations, technology development and modelling. The study has produced a comprehensive and high-quality database of measurements of ocean biogeochemical properties. Data on temporal and spatial changes in primary production and CO2 exchange, the dynamics of of marine food webs, and the availability of micronutrients have yielded new insights into what governs ocean productivity, carbon cycling and export into the deep ocean, the set of processes collectively known as the "biological pump." With large-scale, high-quality data sets for the partial pressure of CO2 in surface waters as well for other DIC parameters in the ocean and trace gases in the atmosphere, reliable estimates, maps and simulations of air-sea gas flux, anthropogenic carbon and inorganic carbon export are now available. JGOFS scientists have also obtained new insights into the export flux of particulate and dissolved organic carbon (POC and DOG), the variations that occur in the ratio of elements in organic matter, and the utilization and remineralization of organic matter as it falls through the ocean interior to the sediments. JGOFS scientists have amassed long-term data on temporal variability in the exchange of CO2 between the ocean and atmosphere, ecosystem dynamics, and carbon export in the oligotrophic subtropical gyres. They have documented strong links between these variables and large-scale climate patterns such as the El Nino-Southern Oscillation (ENSO) or the North Atlantic Oscillation (NAO). An increase in the abundance of organisms that fix free nitrogen (N-2) and a shift in nutrient limitation from nitrogen to phosphorus in the subtropical North Pacific provide evidence of the effects of a decade of strong El Ninos on ecosystem structure and nutrient dynamics. High-quality data sets, including ocean-color observations from satellites, have helped modellers make great strides in their ability to simulate the biogeochemical and physical constraints on the ocean carbon cycle and to extend their results from the local to the regional and global scales. Ocean carbon-cycle models, when coupled to atmospheric and terrestrial models, will make it possible in the future to predict ways in which land and ocean ecosystems might respond to changes in climate.
    Type: Article , PeerReviewed
    Format: text
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  • 14
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    Pergamon Press
    In:  Deep Sea Research Part II: Topical Studies in Oceanography, 49 (7). pp. 1279-1295.
    Publication Date: 2020-08-05
    Description: Observations from cruises in the Arabian Sea and data from satellites are interpreted using different realizations of a multi-level primitive equation model and an eddy-permitting reduced-gravity shallow water model of the Indian Ocean. The focus is on the interannual circulation variability of the Arabian Sea, and especially of the meridional location of the Great Whirl (GW). The results suggest that the variability in the western Arabian Sea is not only due to the interannual variability in the wind field, but that a substantial part is caused by the chaotic nature of the ocean dynamics. Decreasing the friction coefficient from 1000 to 500m2s-1 in a 19o numerical reduced-gravity model, the variance of the GW location increases dramatically, and the mean position moves southward by one degree. In the eddy-permitting experiments analyzed, both mechanisms appear to determine the GW location at the onset of the GW dynamics in late summer.
    Type: Article , PeerReviewed
    Format: text
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  • 15
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    DWD
    In:  Promet - Meteorologische Fortbildung, 29 (1-4). pp. 15-28.
    Publication Date: 2016-10-04
    Type: Article , NonPeerReviewed
    Format: text
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  • 16
    Publication Date: 2019-02-01
    Type: Article , NonPeerReviewed
    Format: text
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  • 17
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    CLIVAR
    In:  CLIVAR Exchanges, 26 (8 (2-3)). pp. 3-5.
    Publication Date: 2019-02-01
    Type: Article , NonPeerReviewed
    Format: text
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  • 18
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    Cambridge University Press
    In:  In: Climate Change 2001: The Scientific Basis. Contribution of Working Group I to the Third Assessment Report of the Intergovernemental Panel on Climate Change. , ed. by Houghton, J. T., Ding, Y. and Griggs, D. J. Cambridge University Press, Cambridge, United Kingdom, pp. 417-470. ISBN 0521-01495-6
    Publication Date: 2020-03-30
    Type: Book chapter , NonPeerReviewed
    Format: text
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  • 19
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    Pergamon Press
    In:  Deep Sea Research Part II: Topical Studies in Oceanography, 48 . pp. 1769-1800.
    Publication Date: 2020-08-05
    Description: Assimilation experiments with data from the Bermuda Atlantic Time-series Study (BATS, 1989¯1993) were performed with a simple mixed-layer ecosystem model of dissolvedinorganic nitrogen (N), phytoplankton (P) and herbivorous zooplankton (H). Our aim is to optimize the biological model parameters, such that the misfits between model results andobservations are minimized. The utilized assimilation method is the variational adjoint technique, starting from a wide range of first-parameter guesses. A twin experiment displayedtwo kinds of solutions, when Gaussian noise was added to the model-generated data. The expected solution refers to the global minimum of the misfit model-data function, whereasthe other solution is biologically implausible and is associated with a local minimum. Experiments with real data showed either bottom-up or top-down controlled ecosystemdynamics, depending on the deep nutrient availability. To confine the solutions, an additional constraint on zooplankton biomass was added to the optimization procedure. Thisinclusion did not produce optimal model results that were consistent with observations. The modelled zooplankton biomass still exceeded the observations. From the model-datadiscrepancies systematic model errors could be determined, in particular when the chlorophyll concentration started to decline before primary production reached its maximum. Adirect comparision of measured 14C-production data with modelled phytoplankton production rates is inadequate at BATS, at least when a constant carbon to nitrogen C : N ratio isassumed for data assimilation.
    Type: Article , PeerReviewed
    Format: text
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  • 20
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    Academic Press
    In:  In: Ocean Circulation and Climate - Observing and Modelling the Global Ocean. , ed. by Siedler, G., Church, J. and Gould, J. Academic Press, London, UK; San Diego, USA, pp. 547-556. ISBN 0-12-641351-7
    Publication Date: 2020-05-05
    Type: Book chapter , NonPeerReviewed
    Format: text
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