The Wind retrievals produced from microwave scatterometer are affected by the presence of rain. Quantifying the effect of rain on scatterometer wind measurements is important for increasing the applications of satellite scatterometry under extreme weather conditions such as those found in tropical storms and hurricanes/typhoons. This paper presents preliminary results of precipitation effect on microwave scatterometry wind estimates at Ku band. The results show that microwave scatterometer underestimates the wind speed by up to 10 m/s for rain rate condition of 12 mm/hr and wind speed condition of 25 to 30 m/s for Ku bands, and up to 20 m/s when rain rate is higher than 16 mm/hr.

This paper presents preliminary results of the 3D-wind retrieval algorithm developed for the multi-look airborne Doppler radar measurements using various forms of Kalman filters. The data was collected inside Hurricane Lili during NOAA's 2002 Atlantic Hurricane Ocean Winds Field Experiment with University of Massachusetts's newly developed Imaging Wind and Rain Airborne Profiler (IWRAP). Two forms of Adaptive Kalman filter are presented for 3-D wind retrieval. Simulations of different wind field and radar parameters are made to investigate the performance of the selected filter. Preliminary results of the actual 3-D wind estimates are then obtained and compared with simultaneous and independent wind vector measurements by GPS dropwindsondes, surface wind speed measurements by a microwave radiometer and flight level wind vector measurements.

This paper presents two Adaptive Kalman Filter Algorithms to retrieve the 3-D hurricane wind vectors. The algorithms are developed for the measurements of UMass Imaging Wind and Rain Airborne Profiler which was installed on the NOAA WP-3D research aircraft during the 2002 NOAA Hurricane Ocean Winds Experiment. Performance analyses of the algorithms are presented in this paper using simulation. Preliminary results of the actual 3-D wind estimates using the chosen algorithm are obtained and compared with simultaneous and independent wind vector measurements by GPS dropwindsondes, surface wind speed measurements by a microwave radiometer and flight level wind vector measurements.

This paper presents a 3D boundary layer wind retrieval algorithm for airborne Doppler radar measurements of precipitation inside hurricanes. The data was collected, inside Hurricane Lili during NOAA's 2002 Atlantic Hurricane Ocean Winds Field Experiment with University of Massachusetts's newly developed Imaging Wind and Rain Airborne Profiler. Two forms of Kalman filters for 3D wind retrieval are analyzed for accuracy using simulations. Preliminary results of the actual 3D wind estimates using the chosen algorithm were obtained and compared with simultaneous and independent wind vector measurements by GPS dropwindsondes, surface wind speed measurements by a microwave radiometer and flight level wind vector measurements

This paper presents preliminary results of precipitation effect on microwave scatterometry wind estimates at C and Ku band. The results show that microwave scatterometer underestimates the wind speed by up to 10 m/s for rain rate condition of 15 mm/hr and wind speed condition of 25 to 30 m/s for both frequency bands