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Using Generative Art to Convey Past and Future Climate Transitions
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PROWIS: A Visual Approach for Building, Managing, and Analyzing Weather Simulation Ensembles at Runtime
IEEE Transactions on Visualization and Computer Graphics
|October 23, 2023
Summary
ProWis simplifies complex weather simulations for experts. This interactive system aids in managing and analyzing simulation ensembles, improving decision-making for weather forecasting.
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.
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