DocumentCode :
2308420
Title :
An anisotropic ocean surface emissivity model based on WindSat polarimetric brightness observations
Author :
Smith, Dean F. ; Weber, Bob L. ; Gasiewski, Albin J.
Author_Institution :
NOAA-CU Center for Environ. Technol., Univ. of Colorado, Boulder, CO
fYear :
2008
fDate :
11-14 March 2008
Firstpage :
1
Lastpage :
4
Abstract :
A full-Stokes vector model for the microwave emissivity of an anisotropic wind driven ocean surface based on measured satellite data and using a two-scale model for surface emission is being developed for the purpose of assimilation of satellite microwave radiances. The model is based on the Ohio State University two-scale model and tuned to WindSat full-Stokes emissivity data as analyzed by Meissner and Wentz. Several physical inconsistencies were corrected in the model. The tuned model results over a range of wind speeds from 0-20 m/sec show good agreement in the 0th, 1st, and 2nd azimuthal brightness temperature harmonics. A bias model for the tuned model was developed to account for residual discrepancies.
Keywords :
data assimilation; emissivity; ocean temperature; oceanographic techniques; radar polarimetry; remote sensing by radar; seawater; spaceborne radar; wind; Ohio State University; WindSat full Stokes emissivity data; WindSat polarimetric brightness observations; anisotropic ocean surface emissivity model; anisotropic wind driven ocean surface; azimuthal brightness temperature harmonics; bias model; full Stokes vector model; ocean surface microwave emissivity; satellite microwave radiance assimilation; surface emission two scale model; velocity 0 m/s to 20 m/s; Anisotropic magnetoresistance; Brightness; Data analysis; Frequency; Ocean temperature; Permittivity; Satellites; Sea surface; Surface waves; Wind speed; WindSat; emission; microwave; model; ocean; polarimetric;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microwave Radiometry and Remote Sensing of the Environment, 2008. MICRORAD 2008
Conference_Location :
Firenze
Print_ISBN :
978-1-4244-1986-9
Electronic_ISBN :
978-1-4244-1987-6
Type :
conf
DOI :
10.1109/MICRAD.2008.4579491
Filename :
4579491
Link To Document :
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