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Dynamic 3-D Visualization of Climate Model Development and Results
IEEE Computer Graphics and Applications
|December 4, 2020
Summary
Effective visualization of climate model data aids public understanding and scientific development. Tools like ParaView create compelling visuals for climate change research and next-generation model construction.
Area of Science:
- Climate Science
- Computational Science
- Data Visualization
Background:
- Understanding climate change relies heavily on climate models.
- Communicating complex climate model results to the public and scientists is crucial.
- Engaging visualizations are needed to convey climate change implications.
Purpose of the Study:
- To demonstrate the use of ParaView for visualizing climate model outputs.
- To highlight visualization's role in disseminating climate research.
- To showcase visualization's contribution to developing advanced climate models.
Main Methods:
- Utilized ParaView, a visualization application, to generate images and animations from climate modeling experiments.
- Applied visualization techniques during the development of a next-generation climate model for exascale platforms.
- Explored novel data representations for enhanced model development.
Main Results:
- Successfully produced compelling visualizations and animations of climate model results using ParaView.
- Visualization aided the promulgation and understanding of climate research findings.
- Early development of a next-generation climate model benefited from visualization, particularly for high resolutions and new data formats.
Conclusions:
- ParaView is an effective tool for visualizing climate model data for both scientific and public audiences.
- Visualization is essential for communicating climate science and advancing climate model development.
- Visual tools support the creation of sophisticated climate models for future computational platforms.
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