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    STRIELAD - A Scalable Toolkit for Real-time Interactive Exploration of Large Atmospheric Datasets

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    Authors
    Schneegans, S.
    Neary, L.
    Flatken, M.
    Gerndt, A.
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    Discipline
    Physical sciences
    Subject
    Distributed Systems
    Client/Server
    Distributed applications
    Graphics Systems
    Distributed/network graphics
    Remote systems
    Simulation Output Analysis
    Physical sciences and engineering
    Earth and atmospheric sciences
    Audience
    Scientific
    Date
    2017
    Metadata
    Show full item record
    Description
    Technological advances in high performance computing and maturing physical models allow scientists to simulate weather and climate evolutions with an increasing accuracy. While this improved accuracy allows us to explore complex dynamical interactions within such physical systems, inconceivable a few years ago, it also results in grand challenges regarding the data visualization and analytics process. We present STRIELAD, a scalable weather analytics toolkit, which allows for interactive exploration and real-time visualization of such large scale datasets. It combines parallel and distributed feature extraction using high-performance computing resources with smart level-of-detail rendering methods to assure interactivity during the complete analysis process.
    Citation
    Schneegans, S.; Neary, L.; Flatken, M.; Gerndt, A. (2017). STRIELAD - A Scalable Toolkit for Real-time Interactive Exploration of Large Atmospheric Datasets. , IEEE Visualization, 1-6 October 2017, Phoenix, AZ, USA,
    Identifiers
    uri: https://orfeo.belnet.be/handle/internal/6480
    Type
    Conference
    Peer-Review
    No
    Language
    eng
    Links
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