Detection of Vortices and Saddle Points in SST Data
Geophysical Research Letters 2001.
We extend the Horn-Schunck model of flow field computation
to incorporate incompressibility for tracking fluid motion.
This is expressed as a weak form of zero-divergence constraint
in the variational problem and implemented with a multigrid
approach for efficient computation. The resulting feature displacement
velocity field provides the basis for higher level abstraction
and representation of the data for data mining. A robust and efficient
algorithm, based on the Jordan curve index, for detecting vortices and saddle
points in feature displacement fields derived from sequences of
satellite-derived SST fields is presented.
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Publication number: LBNL-44711