Processing of weather radar raw IQ-data towards the identification and correction of wind turbine interference – Project RIWER: Removing the Influence of Wind Park Echoes in Weather Radar Measurements
Bhavinkumar Vishnubhai Patel
CORRESPONDING AUTHOR
Chemnitz University of Technology, Faculty of Electrical Engineering and Information Technology, Professorship of Microwave Engineering, 09107 Chemnitz, Germany
Emre Colak
CORRESPONDING AUTHOR
Chemnitz University of Technology, Faculty of Electrical Engineering and Information Technology, Professorship of Microwave Engineering, 09107 Chemnitz, Germany
Aastha Vyas
Chemnitz University of Technology, Faculty of Electrical Engineering and Information Technology, Professorship of Microwave Engineering, 09107 Chemnitz, Germany
Madhu Chandra
Chemnitz University of Technology, Faculty of Electrical Engineering and Information Technology, Professorship of Microwave Engineering, 09107 Chemnitz, Germany
Ralf Zichner
Chemnitz University of Technology, Faculty of Electrical Engineering and Information Technology, Professorship of Microwave Engineering, 09107 Chemnitz, Germany
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Short summary
We investigated the impact of Wind Turbines and Wind Turbine Interference on operational weather radar unfiltered raw IQ-data and subsequent radar moments, such as Reflectivity, Differential Reflectivity, Differential Phase, Mean Doppler Velocity and Correlation Coefficient, for both events with and without precipitation in this contribution under the scope of the RIWER (Removing the Influence of Wind Park Echoes in Weather Radar Measurements) project.
We investigated the impact of Wind Turbines and Wind Turbine Interference on operational weather...