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.

Date Published: 20 January 2005
PDF: 8 pages
Proc. SPIE 5656, Active and Passive Remote Sensing of the Oceans, (20 January 2005); doi: 10.1117/12.578757

Published in SPIE Proceedings Vol. 5656:
Active and Passive Remote Sensing of the Oceans
Robert J. Frouin; Hiroshi Kawamura; Delu Pan, Editor(s)