Observations of wind farm wake recovery at an operating wind farm

Krishnamurthy, Raghavendra; Newsom, Rob K.; Kaul, Colleen M.; Letizia, Stefano; Pekour, Mikhail; Hamilton, Nicholas; Chand, Duli; Flynn, Donna; Bodini, Nicola; Moriarty, Patrick

doi:https://doi.org/10.5194/wes-10-361-2025

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.

https://doi.org/10.5194/wes-10-361-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 10, issue 2

Research article

|

04 Feb 2025

Research article |

| 04 Feb 2025

Observations of wind farm wake recovery at an operating wind farm

Raghavendra Krishnamurthy, Rob K. Newsom, Colleen M. Kaul, Stefano Letizia, Mikhail Pekour, Nicholas Hamilton, Duli Chand, Donna Flynn, Nicola Bodini, and Patrick Moriarty

Data sets

Doppler Lidar Site A2 Rob Newsom and Raghavendra Krishnamurthy https://doi.org/10.21947/2283040

Doppler Lidar at Site H Rob Newsom and Raghavendra Krishnamurthy https://doi.org/10.5439/1890922

Sonic Anemometer Mikhail Pekour https://doi.org/10.21947/1899850

Ceilometer Nicholas Hamilton https://doi.org/10.21947/2221789

Doppler Lidar (DLPPI2) Site A1 (S4) for AWAKEN Rob Newsom and Raghavendra Krishnamurthy https://doi.org/10.5439/1890922

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.