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PROWIS: A Visual Approach for Building, Managing, and Analyzing Weather Simulation Ensembles at Runtime.

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    ProWis simplifies complex weather simulations for experts. This interactive system aids in managing and analyzing simulation ensembles, improving decision-making for weather forecasting.

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    Area of Science:

    • Meteorology
    • Computational Science

    Background:

    • Numerical weather models are crucial but complex, requiring expertise and significant computational resources.
    • Analyzing large datasets from weather simulations presents challenges for experts.
    • Managing ensembles of simulations further complicates the process.

    Purpose of the Study:

    • To introduce ProWis, an interactive system designed to assist weather experts.
    • To streamline the building, management, and analysis of weather simulation ensembles.
    • To facilitate a human-in-the-loop approach for exploring atmospheric variables and scenarios.

    Main Methods:

    • Development of ProWis, an interactive and provenance-oriented system.
    • Implementation of a human-in-the-loop approach for interactive exploration.
    • Collaboration with weather experts throughout the development process.

    Main Results:

    • ProWis enables efficient management and analysis of weather simulation ensembles.
    • The system supports runtime exploration of multiple atmospheric variables and scenarios.
    • Demonstrated effectiveness through case studies of rainfall events in Brazil.

    Conclusions:

    • ProWis addresses the complexities of numerical weather modeling and simulation analysis.
    • The system empowers weather experts to work more effectively with simulation ensembles.
    • ProWis enhances decision-making capabilities in weather forecasting.