Detection of vortices and saddle points in SST data

Details Detection of vortices and saddle points in SST data Detection of vortices and saddle points in SST data

Jan 2001

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2001georl..28..331y&link_type=abstract

Geophysical Research Letters, Volume 28, Issue 2, p. 331-334

Physics

Geophysics

1

Exploration Geophysics: Remote Sensing, Global Change: Oceans, Oceanography: Physical: Eddies And Mesoscale Processes

Scientific paper

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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