Articles | Volume 11, issue 6
https://doi.org/10.5194/wes-11-2307-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-11-2307-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Jul 2026
Research article |
| 01 Jul 2026
| 01 Jul 2026
Characterization and bias correction of low-level jets at FINO1 using lidar observations and reanalysis data
Geophysical Institute and Bergen Offshore Wind Centre, University of Bergen, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
Mostafa Bakhoday-Paskyabi
Geophysical Institute and Bergen Offshore Wind Centre, University of Bergen, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
Joachim Reuder
Geophysical Institute and Bergen Offshore Wind Centre, University of Bergen, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
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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.
Strong low-altitude winds, known as low-level jets (LLJs), significantly impact offshore wind...
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