Emerging mobile lidar technology to study boundary layer winds influenced by operating turbines

Pichugina, Yelena; Brewer, Alan W.; Baidar, Sunil; Banta, Robert; Strobach, Edward; McCarty, Brandi; Carroll, Brian; Bodini, Nicola; Letizia, Stefano; Marchbanks, Richard; Zucker, Michael; Holloway, Maxwell; Moriarty, Patrick

doi:10.5194/wes-11-417-2026

Articles | Volume 11, issue 2

https://doi.org/10.5194/wes-11-417-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-11-417-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 2

Research article

|

10 Feb 2026

Research article |

| 10 Feb 2026

Emerging mobile lidar technology to study boundary layer winds influenced by operating turbines

Yelena Pichugina, Alan W. Brewer, Sunil Baidar, Robert Banta, Edward Strobach, Brandi McCarty, Brian Carroll, Nicola Bodini, Stefano Letizia, Richard Marchbanks, Michael Zucker, Maxwell Holloway, and Patrick Moriarty

Supplement

https://doi.org/10.5194/wes-11-417-2026-supplement

Data sets

AWAKEN Site A2 - ARM Scanning Lidar (Halo XR)/Derived Data - High-Frequency Wind Profiles Wind Data Hub https://doi.org/10.21947/1999172

AWAKEN - Site D - IWES Profiling Lidar/Raw Data Wind Data Hub https://doi.org/10.21947/1972266

AWAKEN Site B - NREL Thermodynamic profiler (Assist II-11)/TROPoe retrieval Wind Data Hub https://doi.org/10.21947/2000686

AWAKEN Site A1 - ARM Scanning Lidar (Halo XR)/Derived Data - High-Frequency Wind Profiles Wind Data Hub https://doi.org/10.21947/1999169

AWAKEN Site H - ARM Scanning Lidar (Halo XR)/Derived Data - High-Frequency Wind Profiles Wind Data Hub https://doi.org/10.21947/1999179

Site A2 - PNNL Surface Flux Station/Daily Fluxes Wind Data Hub https://doi.org/10.21947/1899850

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Short summary

The truck-based Doppler lidar system was used during the American Wake Experiment (AWAKEN) to obtain the high-frequency, simultaneous measurements of the horizontal wind speed, direction, and vertical velocity from a moving platform. The paper presents the unique capability of the novel lidar system to characterize the temporal, vertical, and spatial variability in winds at various distances from operating turbines and obtain quantitative estimates of wind speed reduction in the waked flow.