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  • 1
    Online Resource
    Online Resource
    Schlussbericht PalMod work package 4.3 Verbund (2019)
    [Kiel] : [Christian-Albrechts-Universität zu Kiel]
    Details Availability
    Keywords: Forschungsbericht ; Pleistozän ; Paläoklima ; Modell ; Simulation
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (4 Seiten, 69,03 KB)
    URL: https://doi.org/10.2314/KXP:169853812X
    DOI: 10.2314/KXP:169853812X
    Language: German
    Note: Förderkennzeichen BMBF 01LP1514A+B , Verbundnummer 01162089 , Autor und durchführende Institution dem Berichtsblatt der Druck-Ausgabe entnommen , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden
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  • 2
    Online Resource
    Online Resource
    Anpassung der Algorithmik und Implementierung zur Performancesteigerung des MPI-ESM Modells : Schlussbericht Teilprojekt 4-4 : Laufzeit des Vorhabens: 01.09.2015-31.10.2019 (2019)
    Hamburg : Deutsches Klimarechenzentrum GmbH (DKRZ)
    Details Availability
    Keywords: Forschungsbericht ; Pleistozän ; Paläoklima ; Modell ; Simulation
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (17 Seiten, 746,66) , Diagramme
    URL: https://doi.org/10.2314/KXP:1736493108
    DOI: 10.2314/KXP:1736493108
    Language: German
    Note: Förderkennzeichen BMBF 01LP1515A-D , Verbundnummer 01162213 , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden , Sprache der Zusammenfassung: Deutsch, Englisch
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  • 3
    Online Resource
    Online Resource
    Temporal coarsening of transport matrices with Metos3D (2016)
    Kiel : Institut für Informatik, Christian-Albrechts-Universität zu Kiel
    Details Availability
    Keywords: Forschungsbericht
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (13 Seiten, 388,56 KB)
    Series Statement: Technische Berichte des Instituts für Informatik Bericht Nr. 1608 (November 2016)
    URL: http://www.uni-kiel.de/journals/receive/jportal_jparticle_00000291
    URL: http://nbn-resolving.de/urn:nbn:de:gbv:8:1-zs-00000291-a1
    URL: https://edocs.tib.eu/files/e01fn19/872385442.pdf
    URN: urn:nbn:de:gbv:8:1-zs-00000291-a1
    Language: English
    Note: Literaturverzeichnis Seite 12-13
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  • 4
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    Metos3D: the Marine Ecosystem Toolkit for Optimization and Simulation in 3-D – Part 1: Simulation Package v0.3.2 (2016)
    Copernicus Publications (EGU)
    In:  Geoscientific Model Development, 9 (10). pp. 3729-3750.
    Details
    Publication Date: 2019-09-24
    Description: We designed and implemented a modular software framework for the offline simulation of steady cycles of 3-D marine ecosystem models based on the transport matrix approach. It is intended for parameter optimization and model assessment experiments. We defined a software interface for the coupling of a general class of water column-based biogeochemical models, with six models being part of the package. The framework offers both spin-up/fixed-point iteration and a Jacobian-free Newton method for the computation of steady states. The simulation package has been tested with all six models. The Newton method converged for four models when using standard settings, and for two more complex models after alteration of a solver parameter or the initial guess. Both methods delivered the same steady states (within a reasonable precision) on convergence for all models employed, with the Newton iteration generally operating 6 times faster. The effects on performance of both the biogeochemical and the Newton solver parameters were investigated for one model. A profiling analysis was performed for all models used in this work, demonstrating that the number of tracers had a dominant impact on overall performance. We also implemented a geometry-adapted load balancing procedure which showed close to optimal scalability up to a high number of parallel processors.
    Type: Article , PeerReviewed
    Format: text
    DOI: 10.5194/gmd-9-3729-2016
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 5
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    Reviews and syntheses: Parameter identification in marine planktonic ecosystem modelling (2017)
    Copernicus Publications (EGU)
    In:  Biogeosciences (BG), 14 (6). pp. 1647-1701.
    Details
    Publication Date: 2020-02-06
    Description: To describe the underlying processes involved in oceanic plankton dynamics is crucial for the determination of energy and mass flux through an ecosystem and for the estimation of biogeochemical element cycling. Many planktonic ecosystem models were developed to resolve major processes so that flux estimates can be derived from numerical simulations. These results depend on the type and number of parameterizations incorporated as model equations. Furthermore, the values assigned to respective parameters specify a model's solution. Representative model results are those that can explain data; therefore, data assimilation methods are utilized to yield optimal estimates of parameter values while fitting model results to match data. Central difficulties are (1) planktonic ecosystem models are imperfect and (2) data are often too sparse to constrain all model parameters. In this review we explore how problems in parameter identification are approached in marine planktonic ecosystem modelling. We provide background information about model uncertainties and estimation methods, and how these are considered for assessing misfits between observations and model results. We explain differences in evaluating uncertainties in parameter estimation, thereby also discussing issues of parameter identifiability. Aspects of model complexity are addressed and we describe how results from cross-validation studies provide much insight in this respect. Moreover, approaches are discussed that consider time- and space-dependent parameter values. We further discuss the use of dynamical/statistical emulator approaches, and we elucidate issues of parameter identification in global biogeochemical models. Our review discloses many facets of parameter identification, as we found many commonalities between the objectives of different approaches, but scientific insight differed between studies. To learn more from results of planktonic ecosystem models we recommend finding a good balance in the level of sophistication between mechanistic modelling and statistical data assimilation treatment for parameter estimation
    Type: Article , PeerReviewed
    Format: text
    DOI: 10.5194/bg-14-1647-2017
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 6
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    POD-DEIM-Verfahren zur Modellreduktion und Anwendung auf Metos3D (2016)
    Details
    Publication Date: 2023-11-08
    Description: In der vorliegenden Arbeit werden das Proper Orthogonal Decomposition (POD) und das Discrete Empirical Interpolation Method (DEIM) Verfahren vorgestellt. Beide werden üblicherweise bei komplexen und rechnerisch teuren Modellen zur Modellreduktion eingesetzt. Die Methoden werden definiert. Es folgt eine theoretische Betrachtung des Modellfehlers sowie der Komplexität und der Konvergenz. Des Weiteren wird der Einsatz des POD-Verfahrens auf dem Gebiet der Klimasimulation untersucht. Das geschieht am Beispiel der Simulationssoftware Metos3D, die zur Berechnung von periodischen Lösungen von biogeochemischen Modellen unter Einfluss von globalen Ozeanströmungen verwendet wird.
    Type: Report , NonPeerReviewed
    Format: text
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    OceanRep: Report - other report
  • 7
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    A micro/macro parallel-in-time (parareal) algorithm applied to a climate model with discontinuous non-monotone coefficients and oscillatory forcing (2018)
    Elsevier
    Details
    Publication Date: 2023-08-02
    Description: We present the application of a micro/macro parareal algorithm for a 1-D energy balance climate model with discontinuous and non-monotone coefficients and forcing terms. The micro/macro parareal method uses a coarse propagator, based on a (macroscopic) 0-D approximation of the underlying (microscopic) 1-D model. We compare the performance of the method using different versions of the macro model, as well as different numerical schemes for the micro propagator, namely an explicit Euler method with constant stepsize and an adaptive library routine. We study convergence of the method and the theoretical gain in computational time in a realization on parallel processors. We show that, in this example and for all settings, the micro/macro parareal method converges in fewer iterations than the number of used parareal subintervals, and that a theoretical gain in performance of up to 10 is possible.
    Type: Article , PeerReviewed
    Format: text
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    OceanRep: Article in a Scientific Journal - peer-reviewed
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