DocumentCode
1559871
Title
Evaluation of a compound probability model with tower-mounted scatterometer data
Author
Barrowes, Benjamin E. ; Long, David G.
Author_Institution
Center for Electromagn. Tbeory & Applications, MIT, Cambridge, MA, USA
Volume
40
Issue
1
fYear
2002
fDate
1/1/2002 12:00:00 AM
Firstpage
42
Lastpage
49
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 (≈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
Keywords
atmospheric techniques; backscatter; meteorological radar; ocean waves; oceanographic techniques; radar cross-sections; remote sensing by radar; wind; 2 to 18 GHz; CCIW WAVES research platform; Canada; Lake Ontario; SHF; UHF; YSCAT94; atmosphere; backscatter; boundary layer; composite model; compound probability model; instantaneous backscattered amplitude; lake surface; measurement technique; meteorological radar; microwave scatterometer; ocean wave; radar remote sensing; radar scattering; radar scatterometry; sea surface; tower mounted scatterometer; ultrawideband small footprint; wind speed; Frequency; Geophysical measurements; Ocean temperature; Radar cross section; Radar measurements; Radar scattering; Sea measurements; Sea surface; Spaceborne radar; Wind speed;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.981348
Filename
981348
Link To Document