Radar and Remote Sensing
(in association with School of Electrical and Computer Engineering)
Improving Weather Radar Moment Estimates in the Presence of Wind Turbine Clutter
Mr. Fanxing Kong
26 April 2012, 1:15 PM
National Weather Center, Room 1350
120 David L. Boren Blvd.
University of Oklahoma
Wind turbine clutter (WTC) is radar clutter caused by utility scale wind turbines within radar vicinity. These increasingly large structures have extremely large RCS, yielding high clutter to signal ratio. Most importantly, the blade rotation causes complicated Doppler contamination. Conventional ground filtering techniques have failed to mitigate this negative effect. Therefore, weather radar data quality can be potentially compromised in the presence of WTC.
Though wind turbines can be as tall as 100 m above the ground, it can still be considered as near surface clutter. Thus, it has been observed that beyond a certain range, it only affects the lowest elevation radar scans. Therefore, the “clean” scans from higher elevations can be used to detect and decide the necessity of special treatment of the wind farm area, and to further infer the actual moment data on the lowest elevation scan. A method based on conditional probability inferring and spectrum weighting that adapts to weather conditions has been proposed to improve moment estimates in the presence of WTC. The method can be applied to both level I and level II data as several case studies will show.