STRIELAD - A Scalable Toolkit for Real-time Interactive Exploration of Large Atmospheric Datasets
Simulation Output Analysis
Physical sciences and engineering
Earth and atmospheric sciences
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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.
CitationSchneegans, 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,