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
inter-relationships among the various variables which affect the atmosphere,
including temperature, pressure, and wind velocity. 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.
Earth and Atmospheric
