22 citations as recorded by crossref.

1. Visualization of Wind Turbine Wake with Instantaneous Horizontal Plane Measurements using Dual Scanning Doppler LiDAR K. Watanabe & T. Uchida https://doi.org/10.1088/1742-6596/3224/3/032038
2. Volumetric scans of wind turbine wakes performed with three simultaneous wind LiDARs under different atmospheric stability regimes G. Iungo & F. Porté-Agel https://doi.org/10.1088/1742-6596/524/1/012164
3. Hub vortex instability within wind turbine wakes: Effects of wind turbulence, loading conditions, and blade aerodynamics R. Ashton et al. https://doi.org/10.1103/PhysRevFluids.1.073603
4. Characterisation of Single Wind Turbine Wakes with Static and Scanning WINTWEX-W LiDAR Data V. Kumer et al. https://doi.org/10.1016/j.egypro.2015.11.428
5. One‐way mesoscale‐microscale coupling for simulating a wind farm in North Texas: Assessment against SCADA and LiDAR data C. Santoni et al. https://doi.org/10.1002/we.2452
6. The spectral signature of wind turbine wake meandering: A wind tunnel and field‐scale study M. Heisel et al. https://doi.org/10.1002/we.2189
7. Influences of lidar scanning parameters on wind turbine wake retrievals in complex terrain R. Robey & J. Lundquist https://doi.org/10.5194/wes-9-1905-2024
8. Vertical profiles of the 3-D wind velocity retrieved from multiple wind lidars performing triple range-height-indicator scans M. Debnath et al. https://doi.org/10.5194/amt-10-431-2017
9. Assessment of virtual towers performed with scanning wind lidars and Ka-band radars during the XPIA experiment M. Debnath et al. https://doi.org/10.5194/amt-10-1215-2017
10. The VERTEX field campaign: observations of near-ground effects of wind turbine wakes C. Archer et al. https://doi.org/10.1080/14685248.2019.1572161
11. Quantification of the axial induction exerted by utility-scale wind turbines by coupling LiDAR measurements and RANS simulations G. Valerio Iungo et al. https://doi.org/10.1088/1742-6596/1037/7/072023
12. Momentum fluxes from airborne wind measurements in three cumulus cases over land A. Koning et al. https://doi.org/10.5194/acp-22-7373-2022
13. LiDAR measurements for an onshore wind farm: Wake variability for different incoming wind speeds and atmospheric stability regimes L. Zhan et al. https://doi.org/10.1002/we.2430
14. Volumetric Lidar Scanning of Wind Turbine Wakes under Convective and Neutral Atmospheric Stability Regimes G. Iungo & F. Porté-Agel https://doi.org/10.1175/JTECH-D-13-00252.1
15. Parabolic RANS solver for low‐computational‐cost simulations of wind turbine wakes G. Iungo et al. https://doi.org/10.1002/we.2154
16. Measurement and Prediction of Wind Fields at an Offshore Site by Scanning Doppler LiDAR and WRF J. Goit et al. https://doi.org/10.3390/atmos11050442
17. Quantification of power losses due to wind turbine wake interactions through SCADA, meteorological and wind LiDAR data S. El‐Asha et al. https://doi.org/10.1002/we.2123
18. Experimental characterization of wind turbine wakes: Wind tunnel tests and wind LiDAR measurements G. Iungo https://doi.org/10.1016/j.jweia.2015.11.009
19. Characterization of Turbulence in Wind Turbine Wakes under Different Stability Conditions from Static Doppler LiDAR Measurements V. Kumer et al. https://doi.org/10.3390/rs9030242
20. Comparing rotor plane induction determined from full‐scale measurements and CFD simulations A. Ghadirian et al. https://doi.org/10.1002/we.2274
21. Does the wind turbine wake follow the topography? A multi-lidar study in complex terrain R. Menke et al. https://doi.org/10.5194/wes-3-681-2018
22. Data-driven RANS for simulations of large wind farms G. Iungo et al. https://doi.org/10.1088/1742-6596/625/1/012025