Articles | Volume 9, issue 10
https://doi.org/10.5194/wes-9-1905-2024
https://doi.org/10.5194/wes-9-1905-2024
Research article
 | 
08 Oct 2024
Research article |  | 08 Oct 2024

Influences of lidar scanning parameters on wind turbine wake retrievals in complex terrain

Rachel Robey and Julie K. Lundquist

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2024-18', Anonymous Referee #1, 17 Mar 2024
  • RC2: 'Comment on wes-2024-18', Anonymous Referee #2, 02 Apr 2024
  • AC1: 'Responses to reviewer comments', Rachel Robey, 01 Jun 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Rachel Robey on behalf of the Authors (01 Jun 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (09 Jun 2024) by Atsushi Yamaguchi
RR by Anonymous Referee #1 (02 Jul 2024)
RR by Anonymous Referee #2 (05 Jul 2024)
ED: Publish subject to technical corrections (21 Jul 2024) by Atsushi Yamaguchi
ED: Publish subject to technical corrections (02 Aug 2024) by Julia Gottschall (Chief editor)
AR by Rachel Robey on behalf of the Authors (04 Aug 2024)  Author's response   Manuscript 

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Rachel Robey on behalf of the Authors (26 Sep 2024)   Author's adjustment   Manuscript
EA: Adjustments approved (04 Oct 2024) by Atsushi Yamaguchi
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Short summary
Measurements of wind turbine wakes with scanning lidar instruments contain complex errors. We model lidars in a simulated environment to understand how and why the measured wake may differ from the true wake and validate the results with observational data. The lidar smooths out the wake, making it seem more spread out and the slowdown of the winds less pronounced. Our findings provide insights into best practices for accurately measuring wakes with lidar and interpreting observational data.
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