Audience Dependence of Meteorological Data Visualization

  • Florian Schröder
Conference paper
Part of the IFIP Series on Computer Graphics book series (IFIP SER.COMP.)

Abstract

The decisions how to visualize a specific data set depend mostly on the kind of data itself. But in order to visualize the data in a perceptually effective way, the audience who will view the results must also be considered. The importance of audience dependence varies between the different fields of applications of visualization techniques. The visualization of meteorological data is a field where audience dependence plays a very important role in determining the way of turning the data into images. We have developed a system for visualizing weather-related data for meteorological researchers as well as for lay TV audience. Both groups have very specific demands on the results. Meteorologists need a presentation containing their symbols and possibly many data sets at the same time to get a better understanding of their data and simulation models. Lay audience need images or sequences they can understand intuitively and easily with their every day experience of weather phenomena. We categorized the types of meteorological data and determined the demands of the two groups. To visualize cloud-specific weather data for the lay audience, e.g., we incorporated fractal functions to show clouds that look like real clouds. The result so far is our system TRITON II, which is used for meteorological research and for the daily production of forecast videos for several German TV stations.

Keywords

Dust Europe Ozone Refraction 

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References

  1. S. Arndt, T. Frühauf, K. Karlsson, F. Schröder; “Integration of Compute Servers in an Environment for Distributed Simulation and Visualization”, ECUC’92 Proceedings, European Convex Users Conference, 1992Google Scholar
  2. D. S. Dyer; “A Dataflow Toolkit for Visualization”, IEEE Computer Graphics and Applications; July Issue 1990Google Scholar
  3. J. L. Encarnagão, W. Felger, M. Frühauf, M. Göbel, K. Karlsson; “ Interactive modeling in high performance scientific visualization - the Vis-a-Vis project; Computers in Industry, North-Holland, Volume 19, No. 2, 1992Google Scholar
  4. W. Felger, F. Schröder; “The Visualization Input Pipeline - Enabling Semantic Interaction in Scientific Visualization”, EUROGRAPHICS’92 Proceedings; Computer Graphics Forum; NCC Blackwell Publishers, 1992Google Scholar
  5. G. Sakas, F. Schröder, H. J. Koppert; “Pseudo-Satellitefilm - Using Fractals to Enhance Animated Weather Forecasting“; EUROGRAPHICS’93 Proceedings; Computer Graphics Forum; NCC Blackwell Publishers, 1993Google Scholar
  6. F. Schröder; “Visualizing Meteorological Data for a Lay Audience” IEEE Computer Graphics and Applications; Sept. Issue 1993Google Scholar

Copyright information

© IFIP Series on Computer Graphics 1995

Authors and Affiliations

  • Florian Schröder
    • 1
  1. 1.Fraunhofer Institute for Computer GraphicsDarmstadtGermany

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