Title
Polarimetric scatterometry: a promising technique for improving ocean surface wind measurements from space
Abstract
Spaceborne wind scatterometers provide useful measurements of ocean surface winds and are important to climatological studies and operational weather forecasting. Past and currently planned scatterometers use measurements of the copolarized backscatter cross-section at different azimuth angles to infer ocean surface wind speed and direction. Although successful, current scatterometer designs have limitations such as degraded wind performance in the near-nadir and outer regions of the measurement swath and a reliance on external wind information for vector ambiguity removal. Theoretical studies of scattering from the wind-induced ocean surface indicate that polarimetric measurements provide orthogonal and complementary directional information to aid the wind retrieval process. In this paper, potential benefits of making polarimetric backscatter measurements to improve wind retrieval performance are addressed. To investigate the performance of a polarimetric scatterometer, a modified version of the SeaWinds end-to-end simulator at the Jet Propulsion Laboratory (JPL), Pasadena, CA, is employed. To model the effect of realistic measurement errors, expressions for polarimetric measurement variance and bias are derived. It is shown that a polarimetric scatterometer can be realized with straightforward and inexpensive modifications to a current scanning pencil-beam scatterometer system such as SeaWinds. Simulation results show that such a system ran improve wind performance in the nadir region and eliminate the reliance on external wind information
Year
DOI
Venue
2000
10.1109/36.851773
IEEE T. Geoscience and Remote Sensing
Keywords
Field
DocType
atmospheric techniques,model,atmosphere,polarization,wind,remote sensing by radar,ocean surface wind,simulation,meteorological radar,polarimetric scatterometry,wind retrieval performance,radar remote sensing,spaceborne radar,measurement technique,radar polarimetry,backscatter,measurement error,weather forecasting,wind speed,cross section
Meteorology,Nadir,Wind speed,Polarimetry,Backscatter,Remote sensing,Azimuth,Scatterometer,Weather forecasting,Observational error,Mathematics
Journal
Volume
Issue
ISSN
38
4
0196-2892
Citations 
PageRank 
References 
12
2.74
10
Authors
6
Name
Order
Citations
PageRank
Wu-Yang Tsai15312.51
S. V. Nghiem233380.43
J. N. Huddleston3122.74
M. W. Spencer4378.72
B. W. Stiles5122.74
R. D. West6259.14