atmospheric techniques, backscatter, meteorological radar, ocean waves, oceanographic techniques
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.
Ira A. Fulton College of Engineering and Technology
Electrical and Computer Engineering
© 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.
Copyright Use Information