Dual-Doppler lidar is a powerful remote sensing technique that can accurately measure\nhorizontal wind speeds and enable the reconstruction of two-dimensional wind fields based on\nmeasurements from two separate lidars. Previous research has provided a framework of dual-Doppler\nalgorithms for processing both radar and lidar measurements, but their application to wake\nmeasurements has not been addressed in detail yet. The objective of this paper is to reconstruct\ntwo-dimensional wind fields of wind turbine wakes and assess the performance of dual-Doppler lidar\nscanning strategies, using the newly developed Multiple-Lidar Wind Field Evaluation Algorithm\n(MuLiWEA). This processes non-synchronous dual-Doppler lidar measurements and solves the\nhorizontal wind field with a set of linear equations, also considering the mass continuity equation.\nMuLiWEA was applied on simulated measurements of a simulated wind turbine wake, with two\ntypical dual-Doppler lidar measurement scenarios. The results showed inaccuracies caused by the\ninhomogeneous spatial distribution of the measurements in all directions, related to the ground-based\nscanning of a wind field at wind turbine hub height. Additionally, MuLiWEA was applied on a\nreal dual-Doppler lidar measurement scenario in the German offshore wind farm ââ?¬Å?alpha ventusââ?¬Â.\nIt was concluded that the performance of both simulated and real lidar measurement scenarios\nin combination with MuLiWEA is promising. Although the accuracy of the reconstructed wind\nfields is compromised by the practical limitations of an offshore dual-Doppler lidar measurement\nsetup, the performance shows sufficient accuracy to serve as a basis for 10 min average steady wake\nmodel validation.
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