A Terabyte of a Twister

Donna Cox of the National Center for Supercomputing Applications talks about the challenges of working with scientists to create visual representations of severe storms

Communications Computer

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September-October 2005

Volume 93, Number 5
Page 452

DOI: 10.1511/2005.55.452

Donna Cox is a professor and the director of visualization and experimental technologies at the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, where she oversees the animation, coloring and design of various simulation projects. Her collaborators on this project were Robert Patterson, Stuart Levy, Alex Betts and Matthew Hall (visualization); and Robert Wilhelmson, Matthew Gilmore, Louis Wicker, Glen Romine, Lee Cronce and Mark Straka (simulation).


F. F. The triangular shapes on the surface seem to indicate a directionality. Am I reading that correctly?

D.C. A new "glyph" was developed for this project. The triangular shapes on the surface of the ground are three-dimensional cones—a visual representation adapted from conventional vectors made with black and white line plots. The cones indicate direction of the air at the ground. In addition, these glyphs provide two more pieces of information: They use color to indicate temperature, and the strength of the wind is indicated by their tilt. This is analogous to seeing wheat grass blow in the wind: You can see how hard the wind is blowing by how flat the grass is pushed (or tilted).

Images courtesy of NCSA and the University of Illinois at Urbana-Champaign.

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F. F. Can you explain the color choices? For example, I notice that orange appears in the tubes and also in the triangular surface forms. Was that intended to show a correlation or was it purely an aesthetic choice?

D.C. "Cool" colors in the cyan-blue-purple range and "warm" colors, red-yellow-brown, are used for indicating temperature. In general, cool temperatures are indicated by bluish colors and warm temperatures by reddish colors. Aesthetic decisions control the levels, saturations, shades and intensities. The cool colors of the cones and streamtubes are both representing cool temperatures in the air.

The spherical particles are colored according to pressure. The redder they are, the higher the pressure. The streamtubes are colored by temperature, with a sharp divide between cool and warm. Finally, the color of the cones also has a divide between cool and warm air, but the cones have a slightly different saturation level to stand out from the colors used on the streamtubes.

F. F. Did you test various color palettes before you came up with this final version?

D.C. We tested many versions of the color-transfer functions that are the "color maps" used here. We tested color intensity, value, saturation, luminosity, translucency and color temperature. These color maps were determined to help show a difference between the surface and the air temperature. They were also developed while working with the scientists.

F. F. I wonder if you see a benefit to reading this simulation frame by frame, along with the dynamic version.

D.C. The ability to study a frame-by-frame image sequence as still frames in addition to seeing the time-evolving animation is the best combination for study and understanding of data. While the animation provides a qualitative, dynamic motion study, I think that being able to study a time sequence frame by frame provides a different level of information and enhances the understanding of the overall interaction.

F. F. What do you find is the biggest challenge in collaborating with scientists while making these representations?

D.C. The biggest challenge in collaborating with scientists is overcoming differences in language and vocabulary. Visualization experts have definitions for "features" that may or may not always fit with a scientist's definition. Finding common ground on how to explain concepts using language and pictures is the biggest challenge.

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