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  • Elsevier  (10)
  • Indian Academy of Sciences  (1)
  • Universität Bremen  (1)
  • 1
    Publication Date: 2007-09-01
    Print ISSN: 0967-0637
    Electronic ISSN: 1879-0119
    Topics: Biology , Geosciences , Physics
    Published by Elsevier
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  • 2
    Publication Date: 1999-11-01
    Print ISSN: 0967-0637
    Electronic ISSN: 1879-0119
    Topics: Biology , Geosciences , Physics
    Published by Elsevier
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  • 3
    Publication Date: 2002-12-01
    Print ISSN: 0967-0637
    Electronic ISSN: 1879-0119
    Topics: Biology , Geosciences , Physics
    Published by Elsevier
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  • 4
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    Elsevier
    In:  Progress in Oceanography, 86 (3-4). pp. 337-360.
    Publication Date: 2019-09-23
    Description: We present a suite of experiments with a hierarchy of biogeochemical models of increasing complexity coupled to an offline global ocean circulation model based on the “transport matrix method”. Biogeochemical model structures range from simple nutrient models to more complex nutrient-phytoplankton–zooplankton-detritus-DOP models. The models’ skill is assessed by various misfit functions with respect to observed phosphate and oxygen distributions. While there is generally good agreement between the different metrics employed, an exception is a cost function based on the relative model-data misfit. We show that alterations in parameters and/or structure of the models – especially those that change particle export or remineralization profile – affect subsurface and mesopelagic phosphate and oxygen, particularly in the upwelling regions. Visual inspection of simulated biogeochemical tracer distributions as well as the evaluation of different cost functions suggest that increasing complexity of untuned, unoptimized models, simulated with parameters commonly used in large-scale model studies does not necessarily improve performance. Instead, variations in individual model parameters may be of equal, if not greater, importance.
    Type: Article , PeerReviewed
    Format: text
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  • 5
    Publication Date: 2019-09-23
    Description: Highlights: • We examine the role of marine particle for regulating trace element distribution. • We review the state of the art for modelling the oceanic distribution of specific tracers: Thorium, Protactinium, Iron, and Aluminium. • We review the state of the art for modelling particle distribution in large scale ocean biogeochemical model. The distribution of trace elements in the ocean is governed by the combined effects of various processes, and by exchanges with external sources. Modelling these represents an opportunity to better understand and quantify the mechanisms that regulate the oceanic tracer cycles. Observations collected during the GEOTRACES program provide an opportunity to improve our knowledge regarding processes that should be considered in biogeochemical models to adequately represent the distributions of trace elements in the ocean. Here we present a synthesis about the state of the art for simulating selected trace elements in biogeochemical models: Protactinium, Thorium, Iron and Aluminium. In this contribution we pay particular attention on the role of particles in the cycling of these tracers and how they may provide additional constraints on the transfer of matter in the ocean.
    Type: Article , PeerReviewed
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  • 6
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    Indian Academy of Sciences
    In:  Proceedings of the Indian Academy of Sciences (Earth Planet. Sci.), 109 (4) . pp. 453-469.
    Publication Date: 2019-01-23
    Description: This work presents models of the vertical distribution and flux of phytoplankton aggregates, including changes with time in the distribution of aggregate sizes and sinking speeds. The distribution of sizes is described by two parameters, the mass and number of aggregates, which greatly reduces the computational cost of the models. Simple experiments demonstrate the effects of aggregation on the timing and depth distribution of primary production and export. A more detailed ecological model is applied to sites in the Arabian Sea; it demonstrates that aggregation can be important for deep sedimentation even when its effect on surface concentrations is small, and it presents the difference in timing between settlement of aggregates and fecal pellets.
    Type: Article , PeerReviewed
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  • 7
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    Universität Bremen
    In:  [Poster] In: Biogeochemical Cycles: German contribution to International JGOFS, 18.-21.09.2000, Bremen, Germany . Berichte aus dem Fachbereich Geowissenschaften der Universität Bremen ; pp. 32-33 .
    Publication Date: 2019-09-11
    Description: We observed variations in primary nutrients and phytoplankton biomass in an upwelling event off Oman during the strong SW-monsoon 1997. A so called filament, originating in the coastal upwelling, was tracked, marked with a drifter and followed for 19 days while intensive water sampling took place. The first stations in this upwelling event showed a severe silicate limitation. With the silicate limitation a diverse diatom community vanished. Although after a couple of days new silicate became available, another phytoplankton community of smaller organisms 〈 20 flm) with nearly no diatoms bloomed. These results raise fundamental questions about the interactions between silicate limitation and the control of carbon export in the worlds most productive areas. It is discussed, whether these limitation events might be typical short term features of coastal upwelling ecosystems, not described as yet.
    Type: Conference or Workshop Item , PeerReviewed
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  • 8
    Publication Date: 2019-09-23
    Description: We investigate the effects of different vertical grid resolutions and algorithms for the calculation of particle sinking on the sedimentation and remineralization of particulate organic matter. Simulations carried out with an idealized 1D model of detritus sinking show that a coarse vertical resolution, such as used in many global biogeochemical models, tends to enhance the particle flux through numerical mixing within the vertical boxes, and thereby simulates deeper remineralization, compared to a model with a fine vertical resolution. This effect can be ameliorated by assuming a distribution of detritus within the individual grid boxes that corresponds to the prescribed sinking and remineralization parameters. Experiments of the different flux algorithms, carried out with 3D global biogeochemical models of different vertical grid resolution reveal impacts on simulated biogeochemical tracer distributions that are similar to those obtained by substantial variations in biogeochemical model parameters. Our results indicate that numerical schemes have to be considered when comparing biogeochemical parameter values of different models and also when porting biogeochemical models among different circulation models.
    Type: Article , PeerReviewed
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  • 9
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    Elsevier
    In:  Deep Sea Research Part I: Oceanographic Research Papers, 49 (12). pp. 2133-2162.
    Publication Date: 2016-10-28
    Description: Amodel is presented that simulates the formation of marine aggregates from particles of different origin inside amodel of pelagic biological processes. Experiments are carried out with parameterizations appropriate for different types of aggregates, using different kinds of physical forcing, and compared to observations of dissolved inorganic nitrogen (DIN), particulate organic nitrogen (PON), marinesnow concentration, and sedimentation. The occurrence of large, macroscopically visible aggregates (marinesnow) can best be simulated with parameterizations that have been derived from in situ observations of marinesnow, but not with aparameterization sufficient for dense particles. The parameterization strongly determines the amount and timing of deep export, as well as the post-bloom development of the food web in the upper layers. Detritus in aggregates plays a role mainly during times when zooplankton are abundant, as e.g. in the western Arabian Sea during Southwest Monsoon. Then the large aggregates as fast sinking vehicles may remove detritus quickly from shallow and mid-water depth, preventing the accumulation of nutrients that are produced via detritus decomposition. In this region, detritus contributes strongly to deep sedimentation. The nitrogenbudget at this location with regard to the observations cannot be closed: depending on model type, either the model simulates too high sedimentation, or too high DIN. Possible causes for this mismatch include undercollection by sediment traps, inaccurate representation of physical processes in the model and the neglect of biological processes, such as production of dissolved organic matter or denitrification.
    Type: Article , PeerReviewed
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  • 10
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    Elsevier
    In:  Deep Sea Research Part I: Oceanographic Research Papers, 46 . pp. 1841-1859.
    Publication Date: 2020-08-06
    Description: We show how to represent changes in the distribution of size and sinking speed of marine particles by a two-parameter model. In contrast to fully size-resolved models, this representation holds promise for constructing ocean biogeochemical models with detailed spatial resolution and seasonally varying sinking speed. We treat the mass and number of particles as separate state variables, each obeying its own conservation law. Average size and sinking speed of particles change as particles aggregate or the largest particles sink out. The distribution of particle sizes is assumed to follow a power law, whose exponent changes as a function of average particle size. Compared to biogeochemical models with constant particle sinking speed, our approach imposes a modest increase in computational cost and produces important effects like more rapid sinking immediately following a phytoplankton bloom. Compared to models that use hundreds of size classes to represent the detailed evolution of particle size distribution, our approach offers a major reduction in computational cost, while maintaining realistic behaviour like the sudden onset of significant aggregation when particles are sufficiently abundant.
    Type: Article , PeerReviewed
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