Earth and Atmospheric

Atmospheric data is characterised by time-varying multivariate and vector data collected over a spherical grid.

Of particular interest for researchers developing new climate models is the interrelationships among the various variables which affect the atmosphere, including temperature, pressure, and wind velocity. In this work, we investigate techniques for visualizing multivariate data to establish correlations and understand relationships.


Functions on Surface
Visualization of surface
pressure offset from
the globe proportional
to the elevation.
Volume visualization
by temperature.
Volume visualization of
longitudinal velocity
temperature with an
isosurface of the
longitudinal velocity.
(Isosurface is colored
according to latitudinal
velocity.)

Isocontouring
Visualization of surface
pressure offset from
the globe proportional
to the elevation. (another view)
Volume visualization
by temperature with an
isosurface of the component
of velocity in the
longitudinal direction.
Volume visualization of
latitudinal velocity.


Joint work with Professor Bob Oglesby of the Department of EAS at Purdue:
http://www.atms.purdue.edu/labs/CML.html
http://www.atms.purdue.edu/person/Oglesby.html


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