14 citations as recorded by crossref.

1. The Bolund Experiment, Part I: Flow Over a Steep, Three-Dimensional Hill J. Berg et al. 10.1007/s10546-011-9636-y
2. Influence of regional nighttime atmospheric regimes on canopy turbulence and gradients at a closed and open forest in mountain-valley terrain S. Wharton et al. 10.1016/j.agrformet.2017.01.020
3. Flow tilt angles near forest edges – Part 1: Sonic anemometry E. Dellwik et al. 10.5194/bg-7-1745-2010
4. A simplified method on estimation of forest roughness by use of aerial LIDAR data F. Bingöl 10.1002/ese3.496
5. A data-driven analysis of energy balance closure across FLUXNET research sites: The role of landscape scale heterogeneity P. Stoy et al. 10.1016/j.agrformet.2012.11.004
6. Better turbulence spectra from velocity–azimuth display scanning wind lidar F. Kelberlau & J. Mann 10.5194/amt-12-1871-2019
7. Impact of forested fetch on energy yield and maintenance of wind turbines M. Zendehbad et al. 10.1016/j.renene.2016.05.014
8. Taking the Motion out of Floating Lidar: Turbulence Intensity Estimates with a Continuous-Wave Wind Lidar F. Kelberlau et al. 10.3390/rs12050898
9. A Machine Learning-Based Model for Flight Turbulence Identification Using LiDAR Data Z. Zhuang et al. 10.3390/atmos14050797
10. Effects of an escarpment on flow parameters of relevance to wind turbines R. Barthelmie et al. 10.1002/we.1980
11. Lidar-based Research and Innovation at DTU Wind Energy – a Review T. Mikkelsen 10.1088/1742-6596/524/1/012007
12. Ten Years of Boundary-Layer and Wind-Power Meteorology at Høvsøre, Denmark A. Peña et al. 10.1007/s10546-015-0079-8
13. Eddy covariance tilt corrections over a coastal mountain area in South-east China: Significance for near-surface turbulence characteristics L. Liu et al. 10.1007/s00376-012-1052-9
14. Systematic Vertical Variation of Mesoscale Fluxes in the Nocturnal Boundary Layer O. Acevedo & L. Mahrt 10.1007/s10546-010-9465-4