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MEVA--An Interactive Visualization Application for Validation of Multifaceted Meteorological Data with Multiple 3D

Carolin Helbig1, Lars Bilke2, Hans-Stefan Bauer3

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Summary

Meteorologists face challenges visualizing complex simulation data. A new application, MEVA, combines existing tools for easier 3D data analysis, supporting hypothesis testing and research communication.

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Area of Science:

  • Meteorology
  • Scientific Visualization
  • Data Science

Background:

  • Meteorological simulations generate increasingly large and complex datasets.
  • Existing visualization software often fails to meet domain-specific needs for meteorological data analysis.
  • Challenges include handling diverse data formats, grid types, and visualization techniques.

Purpose of the Study:

  • To develop a flexible workflow for visualizing complex meteorological simulation data.
  • To create a user-friendly application (MEVA) that simplifies 3D data visualization for domain scientists.
  • To enable interactive data analysis without requiring advanced visualization expertise.

Main Methods:

  • A flexible workflow combining state-of-the-art 3D visualization software and a game engine.
  • Development of a lightweight custom application (MEVA) for multifaceted environmental data visualization.
  • Iterative development in close cooperation with meteorologists and visualization experts, including user testing.

Main Results:

  • MEVA provides solutions for analyzing multirun data, including data uncertainty and inter-simulation differences.
  • The application supports relevant visualization and interaction techniques, is easily deployable, and has validated usability.
  • Users can interactively visualize data, test hypotheses, and gain new insights.

Conclusions:

  • The developed workflow and MEVA application effectively address the challenges of visualizing complex meteorological data.
  • MEVA empowers meteorologists to analyze simulation results more efficiently and communicate findings effectively.
  • The application facilitates hypothesis validation, discovery of new insights, and public engagement with research.