18 citations as recorded by crossref.

1. Comparison of horizontal wind speed and direction measurements from dual-Doppler radar and profiling lidars A. Vöhringer et al.
2. Identification of the energy contributions associated with wall-attached eddies and very-large-scale motions in the near-neutral atmospheric surface layer through wind LiDAR measurements M. Puccioni et al.
3. LiSBOA: Enhancing LiDAR-Based Wind Turbine Wake and Turbulence Characterization in Complex Terrain A. Azzahrani
4. Overview of preparation for the American WAKE ExperimeNt (AWAKEN) P. Moriarty et al.
5. Numerical study of the effect of tip-speed ratio on hydrokinetic turbine wake recovery O. El Fajri et al.
6. Pseudo-2D RANS: A LiDAR-driven mid-fidelity model for simulations of wind farm flows S. Letizia & G. Iungo
7. LiSBOA (LiDAR Statistical Barnes Objective Analysis) for optimal design of lidar scans and retrieval of wind statistics – Part 1: Theoretical framework S. Letizia et al.
8. Quantification of performance degradation due to wind turbine aging: Estimating the reduction in annual energy production using the annual degradation rate D. Kim & B. Kim
9. LiDAR Measurements to Investigate Farm-to-Farm Interactions at the AWAKEN Experiment M. Puccioni et al.
10. Machine-learning identification of the variability of mean velocity and turbulence intensity for wakes generated by onshore wind turbines: Cluster analysis of wind LiDAR measurements G. Iungo et al.
11. Effects of the thrust force induced by wind turbine rotors on the incoming wind field: A wind LiDAR experiment S. Letizia et al.
12. Holistic scan optimization of nacelle-mounted lidars for inflow and wake characterization at the RAAW and AWAKEN field campaigns S. Letizia et al.
13. Blockage and speedup in the proximity of an onshore wind farm: A scanning wind LiDAR experiment M. Puccioni et al.
14. Profiling wind LiDAR measurements to quantify blockage for onshore wind turbines C. Moss et al.
15. Reconstruction of dynamic wind turbine wake flow fields from virtual Lidar measurements via physics-informed neural networks J. Zhang & X. Zhao
16. Modal dynamics of wind turbine wake meandering from lidar observations N. Hamilton et al.
17. Characterization of wind turbine flow through nacelle-mounted lidars: a review S. Letizia et al.
18. Coupling wind LiDAR fixed and volumetric scans for enhanced characterization of wind turbulence and flow three‐dimensionality M. Puccioni et al.