Alan Norton <alan@ucar.edu>
VAPORÕs Interaction Techniques for
Understanding Massive Turbulence Datasets
¥Interactive feedback is key to visual data understanding
1.Multiresolution data browsing
Enables interactive access to terabyte datasets
2.Visual color and opacity editing with histograms
Identify features of interest by color and opacity
3.Export/import data to/from analysis toolkit
Currently supporting IDL¨
4.Use planar probe for visual flow seed placement
Local data values guide seed placement
5.Track structure evolution with field line advection
Time-evolution of structures shown by field line motion
6.Use the GPU for interactive rendering
Cartesian, Spherical, Terrain-following (WRF) grids