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Visualization in Meteorology-A Survey of Techniques and Tools for Data Analysis Tasks
IEEE Transactions on Visualization and Computer Graphics
|July 11, 2018
Summary
This article reviews visualization techniques and tools for meteorological data analysis, covering historical development and current applications in weather forecasting and atmospheric research. It highlights key methods and challenges for future visualization research in meteorology.
Area of Science:
- Meteorology
- Computer Graphics
- Data Visualization
Background:
- Meteorological data analysis requires specialized visualization techniques.
- The evolution of computer graphics has significantly impacted meteorological visualization.
- Current operational weather forecasting and atmospheric research rely on advanced visualization tools.
Purpose of the Study:
- To survey the history and state of the art of visualization in meteorology.
- To examine meteorological data characteristics and analysis tasks relevant to visualization.
- To discuss demands and challenges for future visualization research in meteorology.
Main Methods:
- Review of historical development of computer graphics for meteorological visualization.
- Examination of current visualization techniques and tools in operational weather forecasting and research.
- Survey of visualization research studies focused on meteorological applications.
- Categorization of visualization techniques including display design, 3D, flow dynamics, feature-based, comparative, uncertainty/ensemble, interactive, rendering, and scalability.
Main Results:
- Comprehensive overview of visualization techniques applied in meteorology.
- Identification of commonly used visualization methods in meteorological practice.
- Summary of recent advancements in visualization research for meteorological applications.
- Discussion of key areas for future research, including interactive and ensemble visualization.
Conclusions:
- Visualization is crucial for meteorological data analysis, forecasting, and research.
- Continued research is needed to address challenges in interactive, ensemble, and 3D visualization for meteorology.
- Improving scalability, reproducibility, and demonstrating the benefit of visualization techniques are critical for future development.
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