Detection of vortices and saddle points in SST data

Q. Yang, B. Parvin, A. Mariano

Research output: Contribution to journalArticle

7 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)331-334
Number of pages4
JournalGeophysical Research Letters
Volume28
Issue number2
DOIs
StatePublished - Jan 15 2001

ASJC Scopus subject areas

  • Geophysics
  • Earth and Planetary Sciences(all)

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