DocumentCode
1087339
Title
Detecting “dipole ring” separatrices with zebra palettes
Author
Hooker, Stanford B. ; Brown, James W. ; Kirwan, A.D.
Author_Institution
Lab. for Hydrospheric Processes, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Volume
33
Issue
6
fYear
1995
fDate
11/1/1995 12:00:00 AM
Firstpage
1306
Lastpage
1312
Abstract
Two new analysis methods applicable to remote sensing of the sea surface are described. The first is a zebra false-color palette that combines a slowly varying rainbow with a rapid gray-scale sinusoid, and the other is a routine that tracks the thermal separatrix, or dividing line, between two (of more) circulation regimes. Used together, a significant increase in data retention is achieved compared to traditional algorithms based on frontal digitizations. These two methods are applied to historical infrared data of Gulf Stream rings from the western North Atlantic. The ring data indicate anticyclonic rings usually have at least one cyclonic companion and are more appropriately modeled as dipoles. Several examples of cyclonic rings in the Sargasso Sea are seen with anticyclonic companions and are also believed to be dipoles. The separatrix method is shown to provide reliable rotation rates for these vortex systems
Keywords
computer graphics; data visualisation; geophysical signal processing; geophysics computing; image representation; infrared imaging; oceanographic techniques; remote sensing; Gulf Stream ring; IR radiometry; North Atlantic; SST; algorithm; analysis method; circulation regime; computer graphics; data representation; data retention; dipole ring; dividing line; false-color palette; measurement technique; ocean front; rapid gray-scale sinusoid; remote sensing; routine; sea surface; separatrices; separatrix; slowly varying rainbow; thermal separatrix tracking; thermal structure; zebra palette; Cyclones; Gray-scale; Marine technology; Ocean temperature; Radiometry; Remote sensing; Sea measurements; Sea surface; Spatial resolution; Streaming media;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.476345
Filename
476345
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