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  • 1
    Call number: 95.0063
    In: Bochumer geologische und geotechnische Arbeiten
    Pages: X, 239 S. : 12 Tafeln
    Series Statement: Bochumer geologische und geotektonische Arbeiten 27
    Classification: A.3.16.
    Language: German
    Branch Library: GFZ Library
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  • 2
    Call number: SR 93.0590(27)
    In: Bochumer geologische und geotechnische Arbeiten
    Type of Medium: Series available for loan
    Pages: X, 239 S.
    Series Statement: Bochumer geologische und geotechnische Arbeiten 27
    Language: German
    Location: Lower compact magazine
    Branch Library: GFZ Library
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  • 3
    Call number: AR 01.0398 / Regal 6
    Type of Medium: Monograph available for loan
    Classification: B.6.
    Language: German
    Location: Reading room
    Branch Library: GFZ Library
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  • 4
    Call number: M 08.0421 ; PIK N 075-09-0061
    Type of Medium: Monograph available for loan
    Pages: XIV, 274 S.
    Edition: 1. Aufl.
    ISBN: 9783879074860
    Location: Upper compact magazine
    Location: Upper compact magazine
    Branch Library: GFZ Library
    Branch Library: PIK Library
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  • 5
    Publication Date: 2015-05-29
    Description: Scientific software has become an indispensable commodity for the production, processing and analysis of empirical data but also for modelling and simulation of complex processes. Software has a significant influence on the quality of research results. For strengthening the recognition of the academic performance of scientific software development, for increasing its visibility and for promoting the reproducibility of research results, concepts for the publication of scientific software have to be developed, tested, evaluated, and then transferred into operations. For this, the publication and citability of scientific software have to fulfil scientific criteria by means of defined processes and the use of persistent identifiers, similar to data publications. The SciForge project is addressing these challenges. Based on interviews a blueprint for a scientific software publishing platform and a systematic implementation plan has been designed. In addition, the potential of journals, software repositories and persistent identifiers have been evaluated to improve the publication and dissemination of reusable software solutions. It is important that procedures for publishing software as well as methods and tools for software engineering are reflected in the architecture of the platform, in order to improve the quality of the software and the results of research. In addition, it is necessary to work continuously on improving specific conditions that promote the adoption and sustainable utilization of scientific software publications. Among others, this would include policies for the development and publication of scientific software in the institutions but also policies for establishing the necessary competencies and skills of scientists and IT personnel. To implement the concepts developed in SciForge a combined bottom-up / top-down approach is considered that will be implemented in parallel in different scientific domains, e.g. in earth sciences, climate research and the life sciences. Based on the developed blueprints a scientific software publishing platform will be iteratively implemented, tested, and evaluated. Thus the platform should be developed continuously on the basis of gained experiences and results. The platform services will be extended one by one corresponding to the requirements of the communities. Thus the implemented platform for the publication of scientific software can be improved and stabilized incrementally as a tool with software, science, publishing, and user oriented features.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , NonPeerReviewed
    Format: application/pdf
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  • 6
    Publication Date: 2015-05-29
    Description: Scientific software takes on an increasingly prominent role in research. In particular in the sciences software has become an indispensable element in the research process. The way we handle software has a significant influence on the quality of research results, their traceability and reproducibility. In order to strengthen the recognition of scientific results achieved by software and to improve its visibility, the scientific community is actively working on concepts and solutions enabling researchers to publish software, cite it and be credited for it. For software to be a valuable and citeable contribution to science, the publication of scientific software must meet the quality criteria of the scientific discourse. As with data publication, defined processes and persistent identifiers should be used to make the results of research reproducible. Also, the specific needs of research have to be addressed and joined with experience gained in the field of development of free and open source software. A common understanding of handling scientific software with defined processes must be developed jointly. These processes have to address questions regarding quality assurance, versioning and documentation, traceability, reproducibility and reusability. Furthermore, the archiving of source code and executables, the use of persistent identifiers, and metrics measuring productivity, impact, and recognition have to be addressed. Especially when looking at software in the context of scientific publications only insufficient solutions exist to date. Even though it is possible to mint DOIs to identify archived source code copies, quality ensured by reviews is not addressed properly. But deserving credit for a software publication requires measures assessing the value of the published software. Subjectspecific reviews paired with softwarespecific expertise would open up new possibilities leveraging interdisciplinarity and the interplay of complementary scientific fields such as geosciences and computer science. Thus software publications and properly arranged reviews would foster the exchange in order to establish best practices from computer science in geosciences and to enhance subjectspecific software successively after its original publication.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , NonPeerReviewed
    Format: application/pdf
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  • 7
    Publication Date: 2016-02-17
    Description: Author(s): Benjamin Wahl, Ulrike Feudel, Jaroslav Hlinka, Matthias Wächter, Joachim Peinke, and Jan A. Freund Granger causality is a statistical concept devised to reconstruct and quantify predictive information flow between stochastic processes. Although the general concept can be formulated model-free it is often considered in the framework of linear stochastic processes. Here we show how local linear mod… [Phys. Rev. E 93, 022213] Published Tue Feb 16, 2016
    Keywords: Nonlinear Dynamics and Chaos
    Print ISSN: 1539-3755
    Electronic ISSN: 1550-2376
    Topics: Physics
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  • 8
    Publication Date: 2014-12-12
    Description: We propose a procedure to estimate the fatigue loads on wind turbines, based on a recent framework used for reconstructing data series of stochastic properties measured at wind turbines. Through a standard fatigue analysis, we show that it is possible to accurately estimate fatigue loads in any wind turbine within one wind park, using only the load measurements at one single turbine and the set of wind speed measurements. Our framework consists of deriving a stochastic differential equation that describes the evolution of the torque at one wind turbine driven by the wind speed. The stochastic equation is derived directly from the measurements and is afterwards used for predicting the fatigue loads for neighboring turbines. Such a framework could be used to mitigate the financial efforts usually necessary for placing measurement devices in all wind turbines within one wind farm. Finally, we also discuss the limitations and possible improvements of the proposed procedure.
    Electronic ISSN: 1996-1073
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by MDPI Publishing
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  • 9
    Publication Date: 2015-01-29
    Description: We apply a modified proper orthogonal decomposition (POD) to large eddy simulation data of a wind turbine wake in a turbulent atmospheric boundary layer. The turbine is modeled as an actuator disk. Our analysis mainly focuses on the pragmatic identification of spatial modes, which yields a low order description of the wake flow. This reduction to a few degrees of freedom is a crucial first step for the development of simplified dynamic wake models based on modal decompositions. It is shown that only a few modes are necessary to capture the basic dynamical aspects of quantities that are relevant to a turbine in the wake flow. Furthermore, we show that the importance of the individual modes depends on the relevant quantity chosen. Therefore, the optimal choice of modes for a possible model could in principle depend on the application of interest. We additionally present a possible interpretation of the extracted modes by relating them to the specific properties of the wake. For example, the first mode is related to the horizontal large-scale movement.
    Electronic ISSN: 1996-1073
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by MDPI Publishing
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  • 10
    Publication Date: 2018-03-12
    Description: Energies, Vol. 11, Pages 612: Stochastic Wake Modelling Based on POD Analysis Energies doi: 10.3390/en11030612 Authors: David Bastine Lukas Vollmer Matthias Wächter Joachim Peinke In this work, large eddy simulation data is analysed to investigate a new stochastic modeling approach for the wake of a wind turbine. The data is generated by the large eddy simulation (LES) model PALM combined with an actuator disk with rotation representing the turbine. After applying a proper orthogonal decomposition (POD), three different stochastic models for the weighting coefficients of the POD modes are deduced resulting in three different wake models. Their performance is investigated mainly on the basis of aeroelastic simulations of a wind turbine in the wake. Three different load cases and their statistical characteristics are compared for the original LES, truncated PODs and the stochastic wake models including different numbers of POD modes. It is shown that approximately six POD modes are enough to capture the load dynamics on large temporal scales. Modeling the weighting coefficients as independent stochastic processes leads to similar load characteristics as in the case of the truncated POD. To complete this simplified wake description, we show evidence that the small-scale dynamics can be captured by adding to our model a homogeneous turbulent field. In this way, we present a procedure to derive stochastic wake models from costly computational fluid dynamics (CFD) calculations or elaborated experimental investigations. These numerically efficient models provide the added value of possible long-term studies. Depending on the aspects of interest, different minimalized models may be obtained.
    Electronic ISSN: 1996-1073
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by MDPI Publishing
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