Articles | Volume 10, issue 2
https://doi.org/10.5194/wes-10-361-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-10-361-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Feb 2025
Research article |
| 04 Feb 2025
| 04 Feb 2025
Observations of wind farm wake recovery at an operating wind farm
Pacific Northwest National Laboratory, Richland, WA 99352, United States of America
Rob K. Newsom
Pacific Northwest National Laboratory, Richland, WA 99352, United States of America
Colleen M. Kaul
Pacific Northwest National Laboratory, Richland, WA 99352, United States of America
Stefano Letizia
National Renewable Energy Laboratory, Golden, CO 80401, United States of America
Mikhail Pekour
Pacific Northwest National Laboratory, Richland, WA 99352, United States of America
Nicholas Hamilton
National Renewable Energy Laboratory, Golden, CO 80401, United States of America
Duli Chand
Pacific Northwest National Laboratory, Richland, WA 99352, United States of America
Donna Flynn
Pacific Northwest National Laboratory, Richland, WA 99352, United States of America
Nicola Bodini
National Renewable Energy Laboratory, Golden, CO 80401, United States of America
Patrick Moriarty
National Renewable Energy Laboratory, Golden, CO 80401, United States of America
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Cited
12 citations as recorded by crossref.
- Influence of simple terrain on the spatial variability of a low-level jet and wind farm performance in the AWAKEN field campaign W. Radünz et al. https://doi.org/10.5194/wes-10-2365-2025
- Progress in the modelling and management of offshore wind farm wakes: A literature review T. Sant https://doi.org/10.1016/j.oceaneng.2026.124544
- Temperature profiling at the American WAKE ExperimeNt (AWAKEN): methodology and uncertainty quantification S. Letizia et al. https://doi.org/10.5194/wes-11-1653-2026
- Aerodynamic modeling and wake characterization of a 15-MW offshore wind turbine: Insights from blade-resolved URANS simulations C. Yi et al. https://doi.org/10.1016/j.apor.2026.104935
- Large-eddy simulation of an atmospheric bore and associated gravity wave effects on wind farm performance in the southern Great Plains A. Wise et al. https://doi.org/10.5194/wes-10-1007-2025
- Synthesis of ARM User Facility Surface Rainfall Datasets to Construct a Best Estimate Value Added Product (PrecipBE) I. Silber et al. https://doi.org/10.5194/amt-19-485-2026
- A Chebyshev Polynomial‐Based Wind Speed Profile Characterization Framework: Applications in Mesoscale Model Evaluation H. Baki & S. Basu https://doi.org/10.1002/we.70080
- Investigation of onshore wind farm wake recovery with in situ aircraft measurements during AWAKEN A. Voss et al. https://doi.org/10.5194/wes-11-71-2026
- Operational wind plants increase planetary boundary layer height: an observational study A. Abraham et al. https://doi.org/10.5194/wes-10-1681-2025
- Realistic Noise Generation to Enhance Realism of Virtual Lidar Scans C. Moss et al. https://doi.org/10.3390/rs17172965
- Atmospheric stability effect on wind farm flow and performance M. Souaiby & F. Porté-Agel https://doi.org/10.1063/5.0280027
- Emerging mobile lidar technology to study boundary layer winds influenced by operating turbines Y. Pichugina et al. https://doi.org/10.5194/wes-11-417-2026
12 citations as recorded by crossref.
- Influence of simple terrain on the spatial variability of a low-level jet and wind farm performance in the AWAKEN field campaign W. Radünz et al. https://doi.org/10.5194/wes-10-2365-2025
- Progress in the modelling and management of offshore wind farm wakes: A literature review T. Sant https://doi.org/10.1016/j.oceaneng.2026.124544
- Temperature profiling at the American WAKE ExperimeNt (AWAKEN): methodology and uncertainty quantification S. Letizia et al. https://doi.org/10.5194/wes-11-1653-2026
- Aerodynamic modeling and wake characterization of a 15-MW offshore wind turbine: Insights from blade-resolved URANS simulations C. Yi et al. https://doi.org/10.1016/j.apor.2026.104935
- Large-eddy simulation of an atmospheric bore and associated gravity wave effects on wind farm performance in the southern Great Plains A. Wise et al. https://doi.org/10.5194/wes-10-1007-2025
- Synthesis of ARM User Facility Surface Rainfall Datasets to Construct a Best Estimate Value Added Product (PrecipBE) I. Silber et al. https://doi.org/10.5194/amt-19-485-2026
- A Chebyshev Polynomial‐Based Wind Speed Profile Characterization Framework: Applications in Mesoscale Model Evaluation H. Baki & S. Basu https://doi.org/10.1002/we.70080
- Investigation of onshore wind farm wake recovery with in situ aircraft measurements during AWAKEN A. Voss et al. https://doi.org/10.5194/wes-11-71-2026
- Operational wind plants increase planetary boundary layer height: an observational study A. Abraham et al. https://doi.org/10.5194/wes-10-1681-2025
- Realistic Noise Generation to Enhance Realism of Virtual Lidar Scans C. Moss et al. https://doi.org/10.3390/rs17172965
- Atmospheric stability effect on wind farm flow and performance M. Souaiby & F. Porté-Agel https://doi.org/10.1063/5.0280027
- Emerging mobile lidar technology to study boundary layer winds influenced by operating turbines Y. Pichugina et al. https://doi.org/10.5194/wes-11-417-2026
Saved (final revised paper)
Latest update: 30 May 2026
Short summary
This study examines how atmospheric phenomena affect the recovery of wind farm wake – the disturbed air behind turbines. In regions like Oklahoma, where wind farms are often clustered, understanding wake recovery is crucial. We found that wind farms can alter phenomena like low-level jets, which are common in Oklahoma, by deflecting them above the wind farm. As a result, the impact of wakes can be observed up to 1–2 km above ground level.
This study examines how atmospheric phenomena affect the recovery of wind farm wake – the...
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