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

Abstract. In recent years, the fast construction, expansion and repowering of wind parks have been a major source concern for weather radar community meteorological services. Among others because turbines are extremely tall, reflective, moving objects, which make them interference that is hard to distinguish from echoes therefore difficult filter even more correct. Polarimetric C-Band Doppler measurements enable us analyse understand impact turbine on build up knowledge. The main idea raw IQ-data in order quantify behaviour with scattering. As first step this direction, paper will focus derivation analysis moments such as Reflectivity (Z), Differential (ZDR), Propagation Phase (PHIDP), Mean Velocity (V), Correlation Coefficient (RHOHV). We consider two cases: (i) events precipitation, (ii) without model (WTI). For purpose, Deutscher Wetterdienst (DWD), recorded under aegis project RIWER (Removing Influence Wind Park Echoes Weather Radar Measurements), presented, analysed discussed detail.