Paper Info
Title
Eddy detection using RADARSAT-1 synthetic aperture radar.
Abstract
Two projects undertaken by the National Oceanic and Atmospheric Administration (NOAA) National Environmental Satellite, Data, and Information Service (NESDIS) have shown success in using spaceborne synthetic aperture radar (SAR) to identify oceanic eddies and current boundaries. In addition to detecting the frontal area and change in slick patterns, the SAR imagery may also pick up a change in the low-level wind structure as a result of the sea surface temperature (SST) gradient between the eddy and its surroundings affecting the marine atmospheric boundary layer (MABL) stability. This wind fluctuation modulates the sea surface roughness, allowing the eddy boundaries to be imaged by SAR. Two examples, one of an eddy in the Gulf of Alaska, and the second of the Loop Current boundary in the Gulf of Mexico, are analyzed to show the correlation between the SST and surface wind gradients across their boundaries.
Year
DOI
Venue
2004
10.1109/IGARSS.2004.1370209
IGARSS
Keywords
Field
DocType
atmospheric boundary layer,atmospheric structure,atmospheric techniques,eddy currents,oceanographic techniques,radar imaging,spaceborne radar,synthetic aperture radar,wind,Gulf of Alaska,Gulf of Mexico,Loop Current boundary,MABL,NESDIS,NOAA,National Environmental Satellite Data and Information Service,National Oceanic and Atmospheric Administration,RADARSAT-1 synthetic aperture radar,SAR imaging,SST,eddy boundaries,low-level wind structure,marine atmospheric boundary layer,oceanic eddy current boundaries,sea surface roughness,sea surface temperature,slick patterns,spaceborne synthetic aperture radar,surface wind gradient,wind fluctuation
Meteorology,Eddy,Radar imaging,Satellite,Sea surface temperature,Computer science,Synthetic aperture radar,Remote sensing,Eddy current,Planetary boundary layer,Surface roughness
Conference
Volume
ISSN
Citations 
7
2153-6996
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Karen S. Friedman101.35
Xiaofeng Li233679.94
William Pichel39012.08
Pablo Clemente-Colon402.03
Nan Walker500.34
Tim Veenstra600.34