Rain and wind estimation from seawinds in hurricanes at ultra high resolution

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 2, Issue 1, 2008, Pages 664-667

  Williams, Brent A ^a   Long, David G ^a  

^a BRIGHAM YOUNG UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; GEOLOGY; HURRICANES; REMOTE SENSING; WIND;

BAYESIAN METHODS; MESO SCALE; PRIOR DISTRIBUTION; RAIN RATES; TROPICAL RAINFALL MEASURING MISSION PRECIPITATION RADARS; ULTRAHIGH RESOLUTION; WIND DIRECTIONS; WIND ESTIMATION;

RAIN;

EID: 66549098008     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2008.4779080     Document Type: Conference Paper

References (5)

1. D.G.Long, "High resolution wind retrieval from SeaWinds," IGARSS, pp. 751-753,2002.
2. B. A. Williams and D. G. Long, "Estimation of hurricane winds from SeaWinds at ultra high resolution," Trans, on Geosc. and Remote Sensing, 2008.
3. D. G. Long, "Ultra high resolution rain retrieval from QuikSCAT data," IGARSS, pp. 4113-4116, 2006.
4. W. C. Sterling and D. R. Morrell, "Convex bayes decision theory," IEEE Trans, on Systems, Man, and Cybernetics, vol.21, no. 1, 1991.
5. T. M. Cover and J. A. Thomas, Elements of Information Theory, Wiley Interscience, 2005.