Detailed Observations of Wind Turbine Clutter with Scanning Weather Radars

B. M. Isom School of Electrical and Computer Engineering, and Atmospheric Radar Research Center, University of Oklahoma, Norman, Oklahoma

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R. D. Palmer School of Meteorology, and Atmospheric Radar Research Center, University of Oklahoma, Norman, Oklahoma

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G. S. Secrest NOAA/NWS/NEXRAD Radar Operations Center, Norman, Oklahoma

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R. D. Rhoton Wyle Information Systems Inc., Norman, Oklahoma

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D. Saxion NOAA/NWS/NEXRAD Radar Operations Center, Norman, Oklahoma

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T. L. Allmon NOAA/NWS/NEXRAD Radar Operations Center, Norman, Oklahoma

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J. Reed NOAA/NWS/NEXRAD Radar Operations Center, Norman, Oklahoma

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T. Crum NOAA/NWS/NEXRAD Radar Operations Center, Norman, Oklahoma

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R. Vogt NOAA/NWS/NEXRAD Radar Operations Center, Norman, Oklahoma

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Abstract

The wind power industry has seen tremendous growth over the past decade and with it has come the need for clutter mitigation techniques for nearby radar systems. Wind turbines can impart upon these radars a unique type of interference that is not removed with conventional clutter-filtering methods. Time series data from Weather Surveillance Radar-1988 Doppler (WSR-88D) stations near wind farms were collected and spectral analysis was used to investigate the detailed characteristics of wind turbine clutter. Techniques to mask wind turbine clutter were developed that utilize multiquadric interpolation in two and three dimensions and can be applied to both the spectral moments and spectral components. In an effort to improve performance, a nowcasting algorithm was incorporated into the interpolation scheme via a least mean squares criterion. The masking techniques described in this paper will be shown to reduce the impact of wind turbine clutter on weather radar systems at the expense of spatial resolution.

Corresponding author address: Brad Isom, School of Meteorology, University of Oklahoma, 120 David L. Boren Blvd., Suite 5900, Norman, OK 73072. Email: bisom@ou.edu

Abstract

The wind power industry has seen tremendous growth over the past decade and with it has come the need for clutter mitigation techniques for nearby radar systems. Wind turbines can impart upon these radars a unique type of interference that is not removed with conventional clutter-filtering methods. Time series data from Weather Surveillance Radar-1988 Doppler (WSR-88D) stations near wind farms were collected and spectral analysis was used to investigate the detailed characteristics of wind turbine clutter. Techniques to mask wind turbine clutter were developed that utilize multiquadric interpolation in two and three dimensions and can be applied to both the spectral moments and spectral components. In an effort to improve performance, a nowcasting algorithm was incorporated into the interpolation scheme via a least mean squares criterion. The masking techniques described in this paper will be shown to reduce the impact of wind turbine clutter on weather radar systems at the expense of spatial resolution.

Corresponding author address: Brad Isom, School of Meteorology, University of Oklahoma, 120 David L. Boren Blvd., Suite 5900, Norman, OK 73072. Email: bisom@ou.edu

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