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

Viewed

Total article views: 1,182 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
807 317 58 1,182 65 91
  • HTML: 807
  • PDF: 317
  • XML: 58
  • Total: 1,182
  • BibTeX: 65
  • EndNote: 91
Views and downloads (calculated since 10 Jun 2025)
Cumulative views and downloads (calculated since 10 Jun 2025)

Viewed (geographical distribution)

Total article views: 1,182 (including HTML, PDF, and XML) Thereof 1,163 with geography defined and 19 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 01 Jul 2026
Download
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.
Share
Altmetrics
Final-revised paper
Preprint