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Multifaceted Visual Analysis of Oceanographic Simulation Ensemble Data.

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    Analyzing complex oceanographic simulation data is challenging. This study introduces an interactive visual analysis tool using coordinated views to address data visualization and uncertainty representation issues.

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    Area of Science:

    • Oceanography
    • Data Visualization
    • Scientific Computing

    Background:

    • Multirun oceanographic simulations generate large, complex datasets.
    • Analyzing spatio-temporal data, identifying vortices, and representing uncertainty pose significant challenges.

    Purpose of the Study:

    • To present an integrated interactive visual analysis tool.
    • To overcome challenges in analyzing multifield spatio-temporal oceanographic data.

    Main Methods:

    • Employing multiple coordinated views.
    • Utilizing different data aggregation levels.
    • Interactive visual analysis.

    Main Results:

    • The tool facilitates the visualization of multifield spatio-temporal data.
    • It aids in identifying and depicting vortices.
    • It enables effective visual representation of uncertainties.

    Conclusions:

    • The integrated visual analysis tool effectively addresses key challenges in oceanographic data analysis.
    • Coordinated views at various aggregation levels enhance understanding of complex simulation outputs.