Articles | Volume 11, issue 6
https://doi.org/10.5194/wes-11-2307-2026
https://doi.org/10.5194/wes-11-2307-2026
Research article
 | 
01 Jul 2026
Research article |  | 01 Jul 2026

Characterization and bias correction of low-level jets at FINO1 using lidar observations and reanalysis data

Hai Bui, Mostafa Bakhoday-Paskyabi, and Joachim Reuder

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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-2025-91', Anonymous Referee #1, 08 Jul 2025
    • AC1: 'Reply on RC1', Hai Bui, 12 May 2026
  • RC2: 'Comment on wes-2025-91', Anonymous Referee #2, 16 Apr 2026
    • AC2: 'Reply on RC2', Hai Bui, 12 May 2026

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Hai Bui on behalf of the Authors (12 May 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (15 May 2026) by Julia Gottschall
ED: Publish as is (25 May 2026) by Jakob Mann (Chief editor)
AR by Hai Bui on behalf of the Authors (01 Jun 2026)  Author's response   Manuscript 
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Short summary
Strong low-altitude winds, known as low-level jets (LLJs), significantly impact offshore wind turbines. We analyzed LLJs at the FINO1 site using lidar observations and reanalysis data. Our results show that models tend to underestimate LLJ intensity. To address this, we introduced a new method to characterize wind profiles and applied a correction to 50 years of reanalysis data, yielding a more accurate long-term representation of these wind features.
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