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Detailed Reference Information |
Yang, Q., Parvin, B. and Mariano, A. (2001). Detection of vortices and saddle points in SST data. Geophysical Research Letters 28: doi: 10.1029/2000GL011408. issn: 0094-8276. |
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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. ¿ 2001 American Geophysical Union |
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Abstract |
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Keywords
Exploration Geophysics, Remote sensing, Oceanography, Physical, Eddies and mesoscale processes |
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Publisher
American Geophysical Union 2000 Florida Avenue N.W. Washington, D.C. 20009-1277 USA 1-202-462-6900 1-202-328-0566 service@agu.org |
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