Articles | Volume 11, issue 5
https://doi.org/10.5194/wes-11-1705-2026
https://doi.org/10.5194/wes-11-1705-2026
Research article
 | 
11 May 2026
Research article |  | 11 May 2026

Wind field estimation for lidar-assisted control: a comparison of proper orthogonal decomposition and interpolation techniques

Esperanza Soto Sagredo, Søren Juhl Andersen, Ásta Hannesdóttir, and Jennifer Marie Rinker

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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-2025-148', Anonymous Referee #1, 25 Sep 2025
    • AC1: 'Reply on RC1', Esperanza Soto Sagredo, 07 Mar 2026
  • RC2: 'Comment on wes-2025-148', Anonymous Referee #2, 14 Dec 2025
    • AC2: 'Reply on RC2', Esperanza Soto Sagredo, 07 Mar 2026

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Esperanza Soto Sagredo on behalf of the Authors (25 Mar 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (26 Mar 2026) by Claudia Brunner
ED: Publish as is (30 Mar 2026) by Julia Gottschall (Chief editor)
AR by Esperanza Soto Sagredo on behalf of the Authors (07 Apr 2026)
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Short summary
Large wind turbines are highly sensitive to changing winds, yet current measurements miss important details. This study compares three methods to reconstruct the full wind field ahead of a turbine in real time using lidar data and simulations. The results show these approaches can capture detailed inflow structures, which could help turbines anticipate wind changes, improve control strategies, and reduce structural loads.
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