Title :
Evaluation of hurricane ocean vector winds from WindSat
Author :
Adams, Ian S. ; Hennon, Christopher C. ; Jones, W. Linwood ; Ahmad, Khalil A.
Author_Institution :
Electr. & Comput. Eng. Dept., Univ. of Central Florida, Orlando, FL, USA
fDate :
3/1/2006 12:00:00 AM
Abstract :
The ability to accurately measure ocean surface wind vectors from space in all weather conditions is important in many scientific and operational usages. One highly desirable application of satellite-based wind vector retrievals is to provide realistic estimates of tropical cyclone intensity for hurricane monitoring. Historically, the extreme environmental conditions in tropical cyclones (TCs) have been a challenge to traditional space-based wind vector sensing provided by microwave scatterometers. With the advent of passive microwave polarimetry, an alternate tool for estimating surface wind conditions in the TC has become available. This paper evaluates the WindSat polarimetric radiometer´s ability to accurately sense winds within TCs. Three anecdotal cases studies are presented from the 2003 Atlantic Hurricane season. Independent surface wind estimates from aircraft flights and other platforms are used to provide surface wind fields for comparison to WindSat retrievals. Results of a subjective comparison of wind flow patterns are presented as well as quantitative statistics for point location comparisons of wind speed and direction.
Keywords :
artificial satellites; microwave imaging; polarimetry; remote sensing; storms; wind; 2003 Atlantic Hurricane season; WindSat; aircraft flights; hurricane; microwave scatterometer; ocean vector wind; passive microwave polarimetry; satellite-based wind vector retrieval; space-based wind vector sensing; surface wind estimate; tropical cyclone intensity; wind direction; wind speed; Extraterrestrial measurements; Hurricanes; Oceans; Polarimetry; Radar measurements; Sea measurements; Sea surface; Spaceborne radar; Tropical cyclones; Wind; Hurricane; WindSat; ocean vector wind; passive microwave polarimetry; tropical cyclone (TC);
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2005.862506