Volume rendering multivariate data to visualize meteorological simulations: a case study

  • Authors:
  • Joe Kniss;Charles Hansen;Michel Grenier;Tom Robinson

  • Affiliations:
  • University of Utah, Salt Lake City, UT;University of Utah, Salt Lake City, UT;Meteorological Service of Canada, Montreal, Canada;Meteorological Service of Canada, Montreal, Canada

  • Venue:
  • VISSYM '02 Proceedings of the symposium on Data Visualisation 2002
  • Year:
  • 2002

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Abstract

High resolution computational weather models are becoming increasing complex. However, the analysis of these models has not benefited from recent advancements in volume visualization. This case study applies the ideas and techniques from multi-dimensional transfer function based volume rendering to the multivariate weather simulations. The specific goal of identifying frontal zones is addressed. By combining temperature and humidity as a multivariate field, the frontal zones are more readily identified thereby assisting the meteorologists in their analysis tasks.