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TitleRADARSAT-1 SAR for Hurricane Watch
DownloadDownloads (Preprint)
LicencePlease note the adoption of the Open Government Licence - Canada supersedes any previous licences.
AuthorVachon, P W; Black, P; Dodge, P; Katsaros, K; Clemente-Colon, P; Pichel, W; MacDonell, K
SourceProceedings of the 23rd Canadian Symposium on Remote Sensing, Ste. Foy, Quebec, August 20 - 24; 2001., Open Access
logo Open Access
Alt SeriesEarth Sciences Sector, Contribution Series 20042985
Mediapaper; on-line; digital
File formatpdf
Released2001 01 01
AbstractRADARSAT-1's ScanSAR wide (SCW) modes, with swath widths of 450 or 500 km and a spatial resolution of 100 m, can provide both near-synoptic scale and small-scale views of the imprint of mesoscale meteorological processes and features on the ocean surface's roughness. In the case of hurricanes, the images show wind speed and direction effects around the relatively calm eye, as well as regions of intense convection, rainfall, organized boundary layer phenomena such as boundary layer rolls, and storm-generated swell. Although initial observations were largely serendipitous, Hurricane Watchhas routinely acquired SCW imagery of hurricanes during the 1999 and 2000 Atlantic Basin hurricane seasons (nominally August through October). The Canadian Space Agency's Disaster Watch Program and Background Mission Program submitted SCW imagery requests in support of this project. Disaster Watch made manual requests as late as 29 hours in advance of the pass time that were fewer in number but more accurate than those of the Background Mission. In this paper, we discuss some of the scheduling and swath coverage constraints, and show and discuss some of the striking images that were acquired. New insights to storm morphology, storm dynamics, and SAR ocean imaging have followed from these observations. Hurricane Watch will be repeated in 2001, with a particular emphasis on the study of organized boundary layer structures between rain bands. The wide spread extent of these structures was first revealed by RADARSAT-1 images.

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