Articles | Volume 11, issue 11
https://doi.org/10.5194/wes-11-4093-2026
https://doi.org/10.5194/wes-11-4093-2026
Research article
 | 
03 Nov 2026
Research article |  | 03 Nov 2026

The AWAKEN wind farm benchmark – Part 1: Observed conditions

Nicola Bodini, Aliza Abraham, Paula Doubrawa, Stefano Letizia, Julie K. Lundquist, Patrick Moriarty, and Ryan Scott

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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-2026-33', Anonymous Referee #1, 31 May 2026
  • RC2: 'Comment on wes-2026-33', Anonymous Referee #2, 16 Jul 2026

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Nicola Bodini on behalf of the Authors (05 Aug 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (17 Aug 2026) by Joachim Peinke
RR by Anonymous Referee #1 (29 Aug 2026)
RR by Anonymous Referee #2 (02 Sep 2026)
ED: Publish subject to minor revisions (review by editor) (02 Sep 2026) by Joachim Peinke
AR by Nicola Bodini on behalf of the Authors (02 Sep 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (15 Sep 2026) by Joachim Peinke
ED: Publish as is (12 Oct 2026) by Jakob Mann (Chief editor)
AR by Nicola Bodini on behalf of the Authors (12 Oct 2026)  Manuscript 
Short summary
Wind turbines create "wakes" of slowed air that reduce power for nearby turbines. To help improve wind energy models, we analyzed data from a large field experiment. We focused on a single day with changing weather patterns. We found that even simple terrain features interacted with the wind to create large variations in power output – up to 80 % – across a wind farm. This detailed dataset provides a real-world case needed to validate and improve wind energy design tools.
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