Keywords
atmospheric techniques, backscatter, meteorological radar, ocean waves, oceanographic techniques
Abstract
Six months of data from the YSCAT94 experiment conducted at the CCIW WAVES research platform on Lake Ontario, Canada, are analyzed to evaluate a compound probability model. YSCAT was an ultrawideband small footprint (ap 1 m) microwave scatterometer that operated at frequencies of 2-18 GHz, incidence angles from 0° to 60°, both h-pol and v-pol, and which tracked the wind using simultaneous weather measurements. The probability distribution function of the measured instantaneous backscattered amplitude (p(a)) is compared to theoretical distributions developed from-the composite model and a simple wave spectrum. Model parameters of the resulting Rayleigh/generalized lognormal distribution probability density function (pdf) (C, a1 , and a2) are derived directly from the data and are found to demonstrate relationships with wind speed, incidence angle, and radar frequency.
Original Publication Citation
Barrowes, B. E., and D. G. Long. "Evaluation of a Compound Probability Model with Tower-Mounted Scatterometer Data." Geoscience and Remote Sensing, IEEE Transactions on 4.1 (22): 42-9
BYU ScholarsArchive Citation
Long, David G. and Barrowes, Benjamin E., "Evaluation of a compound probability model with tower-mounted scatterometer data" (2002). Faculty Publications. 550.
https://scholarsarchive.byu.edu/facpub/550
Document Type
Peer-Reviewed Article
Publication Date
2002-01-01
Permanent URL
http://hdl.lib.byu.edu/1877/1054
Publisher
IEEE
Language
English
College
Ira A. Fulton College of Engineering and Technology
Department
Electrical and Computer Engineering
Copyright Status
© 2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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