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A new hurricane wind retrieval algorithm for SAR images
Author(s) -
Shen Hui,
Perrie Will,
He Yijun
Publication year - 2006
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2006gl027087
Subject(s) - wind speed , eye , scatterometer , remote sensing , meteorology , synthetic aperture radar , interpolation (computer graphics) , wind direction , geology , maximum sustained wind , radar , environmental science , tropical cyclone , geodesy , computer science , wind gradient , image (mathematics) , geography , artificial intelligence , telecommunications
A new algorithm for hurricane wind retrieval is developed based on the primary characteristics of hurricane processes. By assuming constant wind speeds and equal‐distant wind directions in three neighboring sub‐image blocks of any specific concentric circle around the hurricane eye, both wind speed and wind direction are resolved without any external information. To evaluate the accuracy of the new algorithm, a Radarsat‐1 synthetic aperture radar image of hurricane Isabel is studied. The retrieved wind speed is compared with QuikSCAT scatterometer winds and in situ winds. Good consistency is shown. Since the new algorithm doesn't rely on any external wind information, fine resolution wind structures can be retrieved without adding errors due to linear interpolation of the externally‐derived coarse‐resolution wind direction.