18 citations as recorded by crossref.

1. Flow acceleration statistics: a new paradigm for wind-driven loads, towards probabilistic turbine design M. Kelly 10.5194/wes-10-535-2025
2. Cross-sensor domain adaptation for data-driven correction of pedestrian level wind measurement in urban environments using cup anemometers R. Li et al. 10.1016/j.scs.2024.105430
3. The Cup Anemometer, a Fundamental Meteorological Instrument for the Wind Energy Industry. Research at the IDR/UPM Institute S. Pindado et al. 10.3390/s141121418
4. In situ observations of the influence of a large onshore wind farm on near-surface temperature, turbulence intensity and wind speed profiles C. Smith et al. 10.1088/1748-9326/8/3/034006
5. Mathematical Analysis of the Effect of Rotor Geometry on Cup Anemometer Response Á. Sanz-Andrés et al. 10.1155/2014/537813
6. Real‐time measurement of meteorological parameters for estimating low‐altitude atmospheric turbulence strength (Cn2) A. Arockia Bazil Raj et al. 10.1049/iet-smt.2013.0236
7. Fourier analysis of the aerodynamic behavior of cup anemometers S. Pindado et al. 10.1088/0957-0233/24/6/065802
8. Uncertainty in the Mobile Observation of Wind E. Leibensperger et al. 10.3390/atmos14050765
9. Experimental Study and Analysis of Meteorological and Wavefront Profile for Terrestrial Free Space Optical Communication Link at Lat.10.66° and Long.79.05° T. Pasupathi & J. Arputha Vijaya Selvi 10.1007/s40010-021-00743-y
10. A Bayesian model to correct underestimated 3-D wind speeds from sonic anemometers increases turbulent components of the surface energy balance J. Frank et al. 10.5194/amt-9-5933-2016
11. Reconciliation of computational fluid dynamics and observations in complex terrain through conditional resampling K. Nakao & Y. Hattori 10.1016/j.jweia.2019.103970
12. Development of an Unmanned Aerial Vehicle for the Measurement of Turbulence in the Atmospheric Boundary Layer B. Witte et al. 10.3390/atmos8100195
13. Turbulence spectra measured during fire front passage D. Seto et al. 10.1016/j.agrformet.2012.09.015
14. Turbulence influence on wind energy extraction for a medium size vertical axis wind turbine E. Möllerström et al. 10.1002/we.1962
15. Spectral gap characteristics in a daytime valley boundary layer N. Babić et al. 10.1002/qj.3103
16. Rooftop wind monitoring campaigns for small wind turbine applications: Effect of sampling rate and averaging period A. Tabrizi et al. 10.1016/j.renene.2014.12.037
17. Methods for dynamic behavior improvement of tachometric and thermal anemometers by active control P. Ligęza et al. 10.1016/j.measurement.2020.108147
18. Performance analysis of present cup anemometers á. RAMOS-CENZANO et al. 10.30521/jes.614212