DocumentCode :
2154559
Title :
Extreme wave statistics from radar data sets
Author :
Lehner, S. ; Gunther, H.
Author_Institution :
Rosenstiel Sch. of Marine & Atmos. Sci., Miami Univ., FL
Volume :
3
fYear :
2004
fDate :
20-24 Sept. 2004
Firstpage :
1880
Abstract :
The objective of this paper is the identification of areas of extreme wave events, in which rogue waves of exceptional height and shape do occur. These extreme waves are dangerous for navigation safety, as well as the operability on board offshore platforms. An explanation for the existence of groups of high waves based on the superposition of wave systems that form a solution of the linear wave equation is given. Synthetic Aperture Radar wave mode images from the ERS an ENVISAT satellites are investigated. These images are acquired every 200 to 100 km along the satellite orbit and thus yield global coverage. For ERS these images had to be specially reprocessed from radar raw data, for ENVISAT the imagettes are now available as a standard ESA product. High wave groups were found in situations of storm systems moving with the group speed of the ocean waves. The highest waves occurred near the center of the lows in the region of high wind speed
Keywords :
marine safety; ocean waves; oceanographic techniques; radar imaging; radionavigation; remote sensing by radar; statistical analysis; storms; synthetic aperture radar; wave equations; 200 to 100 km; ENVISAT satellites; ERS; Synthetic Aperture Radar wave mode images; board offshore platforms; extreme wave events; extreme wave statistics; global coverage; linear wave equation; navigation safety; ocean waves; radar data sets; radar raw data; rogue waves; satellite orbit; standard ESA product; storm systems; wave groups; wave system superposition; wind speed region; Ocean waves; Partial differential equations; Radar imaging; Safety; Satellite navigation systems; Shape; Spaceborne radar; Statistics; Synthetic aperture radar; Tropical cyclones;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
Type :
conf
DOI :
10.1109/IGARSS.2004.1370707
Filename :
1370707
Link To Document :
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