Title :
WindSat calibration and geophysical parameter estimation
Author :
Ruf, Christopher S. ; Brown, Shannon T. ; Hu, Ying ; Kawakubo, Hirofumi
Author_Institution :
Michigan Univ., Ann Arbor, MI
Abstract :
Three aspects of WindSat performance are presented. (1). End-to-end system calibration is tested by comparisons between WindSat measurements and a robust model of the Earth TB using the vicarious cold reference method. (2). In an effort to determine probable causes for any calibration biases or scale errors that are identified, a refined Antenna Pattern Correction algorithm has been developed that includes main reflector aperture illumination and edge diffraction effects, in addition to the feed spillover effects that are already accounted for in WindSat´s nominal flight processing algorithm. (3). A wind vector retrieval algorithm has been developed that is based on an empirical geophysical model function relating the four Stokes components of ocean surface emissivity to wind speed and direction. In order to implement an emissivity-based retrieval, decomposition of the radiative transfer equation is performed into surface and atmospheric contributions
Keywords :
antenna radiation patterns; atmospheric turbulence; calibration; oceanography; polarimetry; radiative transfer; radiometry; remote sensing; wind; APC algorithm; Antenna Pattern Correction algorithm; Earth robust model; Stokes component; VCR method; WindSat calibration; atmospheric contribution; calibration bias/scale error; edge diffraction effect; emissivity-based retrieval; empirical geophysical model function; end-to-end system calibration; feed spillover effect; geophysical parameter estimation; microwave radiometry; nominal flight processing algorithm; ocean surface emissivity; polarimetry; radiative transfer equation decomposition; reflector aperture illumination; vicarious cold reference method; wind speed/direction; wind vector retrieval algorithm; Antenna measurements; Calibration; Earth; Error correction; Geophysical measurements; Parameter estimation; Robustness; Sea measurements; Sea surface; System testing;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1369041