DocumentCode
881233
Title
Estimation of Hurricane Winds From SeaWinds at Ultrahigh Resolution
Author
Williams, Brent A. ; Long, David G.
Author_Institution
Electr. & Comput. Eng. Dept., Brigham Young Univ., Provo, UT
Volume
46
Issue
10
fYear
2008
Firstpage
2924
Lastpage
2935
Abstract
Although the SeaWinds scatterometer was not specifically designed to observe tropical cyclones, new high-resolution wind products resolve much of the horizontal structure of these storms. However, these higher resolution products (2.5 km) are inherently noisier than the standard 25-km near-surface wind products. These noise levels combined with rain contamination complicate high-resolution wind estimation-particularly in tropical cyclones. Fortunately, tropical cyclones have structures that can be exploited by using a wind field model. This paper develops a new procedure for hurricane wind field estimation from the SeaWinds instrument at ultrahigh resolution. A simplified hurricane model is developed to provide prior information to be used in maximum a posteriori probability estimation of ocean winds. Using the hurricane model ameliorates the effects of rain and noise and provides useful hurricane parameters such as the eye center location. The model also improves ambiguity selection. The new method reduces the variability of the wind speed and direction estimates, although high wind speeds still tend to be underestimated. The method also greatly improves wind direction estimates in hurricanes-even in rain-contaminated portions of the storm.
Keywords
atmospheric techniques; probability; rain; remote sensing; storms; wind; SeaWinds scatterometer; hurricane model; hurricane wind estimation; ocean winds; posteriori probability estimation; rain contamination; rain effects; storms; tropical cyclones; wind field model; wind speed variablity; Contamination; Hurricanes; Instruments; Noise level; Oceans; Radar measurements; Rain; Storms; Tropical cyclones; Wind speed; Hurricane; maximum a posteriori estimation; scatterometry; wind;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2008.924096
Filename
4637980
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