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Wind vector retrieval algorithm for a coherent Doppler lidar based on KNN-COOKS
The wind vector retrieval from a coherent Doppler lidar system in the plan position indicator (PPI) scanning mode often suffers from high inversion errors in horizontal wind speed and direction at far-range gates due to “erroneous” radial wind speed. To address this, we propose a weighted sine wave fitting algorithm that combines K-nearest neighbors and Cook’s distance (KNN-COOKS).
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