Articles | Volume 7, issue 4
https://doi.org/10.5194/wes-7-1575-2022
© Author(s) 2022. 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-7-1575-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Spatiotemporal observations of nocturnal low-level jets and impacts on wind power production
Institute of Geophysics and Meteorology, University of Cologne, Cologne, Germany
Hans‐Ertel‐Centre for Weather Research, Climate Monitoring and Diagnostics, Cologne/Bonn, Germany
Stephanie Fiedler
Institute of Geophysics and Meteorology, University of Cologne, Cologne, Germany
Hans‐Ertel‐Centre for Weather Research, Climate Monitoring and Diagnostics, Cologne/Bonn, Germany
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Cited
16 citations as recorded by crossref.
- The Prediction of Low-Level Jet Using Machine Learning Based on Turbulence Observations and Remote Sensing M. Chen et al. https://doi.org/10.3390/rs18030470
- Low-level jets in the southern North Sea: implications for wind turbine performance using Doppler lidar observations P. Haezebrouck et al. https://doi.org/10.5194/wes-11-1343-2026
- Detecting Low-Level Jets over the Belgian North Sea from Sparse In-Situ Measurements using Temporal Convolutional Networks G. Glabeke et al. https://doi.org/10.1088/1742-6596/3224/2/022044
- Can Convective Cold Pools Lead to the Development of Low‐Level Jets? E. Luiz & S. Fiedler https://doi.org/10.1029/2023GL103252
- Brief communication: On the definition of the low-level jet C. Hallgren et al. https://doi.org/10.5194/wes-8-1651-2023
- Development and trending of deep learning methods for wind power predictions H. Liu & Z. Zhang https://doi.org/10.1007/s10462-024-10728-z
- Local atmospheric transport behaviors of representative radionuclides during the Fukushima accident: A 200-m-resolution cross-scale study from site to 20 km S. Zhuang et al. https://doi.org/10.1016/j.jenvrad.2023.107212
- Modeling the effect of wind speed and direction shear on utility‐scale wind turbine power production S. Mata et al. https://doi.org/10.1002/we.2917
- Analyzing the influence of large-scale weather patterns on renewable energy systems: A review K. Layer et al. https://doi.org/10.1016/j.rser.2026.117034
- Decadal predictions of wind, solar and compound power indicators to support the European renewable energy sector S. Moreno-Montes et al. https://doi.org/10.5194/esd-17-1435-2026
- Extrapolation is not enough: impacts of extreme land use change on wind profiles and wind energy according to regional climate models J. Wohland et al. https://doi.org/10.5194/esd-15-1385-2024
- Impact of atmospheric turbulence on performance and loads of wind turbines: knowledge gaps and research challenges B. Kosović et al. https://doi.org/10.5194/wes-11-509-2026
- Low-level jets' influence on the power conversion efficiency of offshore wind turbines J. Paulsen et al. https://doi.org/10.5194/wes-11-321-2026
- Climatological Characteristics of Low-Level Jets over the Korean Peninsula Based on ERA5 Data K. Kim et al. https://doi.org/10.1007/s13143-026-00440-z
- The Paris low-level jet during PANAME 2022 and its impact on the summertime urban heat island J. Céspedes et al. https://doi.org/10.5194/acp-24-11477-2024
- Low-level jet characteristics and their impacts on low-level turbulence: A Doppler wind lidar observational study in coastal Ningbo M. Chen et al. https://doi.org/10.1016/j.atmosres.2026.109327
16 citations as recorded by crossref.
- The Prediction of Low-Level Jet Using Machine Learning Based on Turbulence Observations and Remote Sensing M. Chen et al. https://doi.org/10.3390/rs18030470
- Low-level jets in the southern North Sea: implications for wind turbine performance using Doppler lidar observations P. Haezebrouck et al. https://doi.org/10.5194/wes-11-1343-2026
- Detecting Low-Level Jets over the Belgian North Sea from Sparse In-Situ Measurements using Temporal Convolutional Networks G. Glabeke et al. https://doi.org/10.1088/1742-6596/3224/2/022044
- Can Convective Cold Pools Lead to the Development of Low‐Level Jets? E. Luiz & S. Fiedler https://doi.org/10.1029/2023GL103252
- Brief communication: On the definition of the low-level jet C. Hallgren et al. https://doi.org/10.5194/wes-8-1651-2023
- Development and trending of deep learning methods for wind power predictions H. Liu & Z. Zhang https://doi.org/10.1007/s10462-024-10728-z
- Local atmospheric transport behaviors of representative radionuclides during the Fukushima accident: A 200-m-resolution cross-scale study from site to 20 km S. Zhuang et al. https://doi.org/10.1016/j.jenvrad.2023.107212
- Modeling the effect of wind speed and direction shear on utility‐scale wind turbine power production S. Mata et al. https://doi.org/10.1002/we.2917
- Analyzing the influence of large-scale weather patterns on renewable energy systems: A review K. Layer et al. https://doi.org/10.1016/j.rser.2026.117034
- Decadal predictions of wind, solar and compound power indicators to support the European renewable energy sector S. Moreno-Montes et al. https://doi.org/10.5194/esd-17-1435-2026
- Extrapolation is not enough: impacts of extreme land use change on wind profiles and wind energy according to regional climate models J. Wohland et al. https://doi.org/10.5194/esd-15-1385-2024
- Impact of atmospheric turbulence on performance and loads of wind turbines: knowledge gaps and research challenges B. Kosović et al. https://doi.org/10.5194/wes-11-509-2026
- Low-level jets' influence on the power conversion efficiency of offshore wind turbines J. Paulsen et al. https://doi.org/10.5194/wes-11-321-2026
- Climatological Characteristics of Low-Level Jets over the Korean Peninsula Based on ERA5 Data K. Kim et al. https://doi.org/10.1007/s13143-026-00440-z
- The Paris low-level jet during PANAME 2022 and its impact on the summertime urban heat island J. Céspedes et al. https://doi.org/10.5194/acp-24-11477-2024
- Low-level jet characteristics and their impacts on low-level turbulence: A Doppler wind lidar observational study in coastal Ningbo M. Chen et al. https://doi.org/10.1016/j.atmosres.2026.109327
Saved (final revised paper)
Latest update: 11 Oct 2026
Short summary
This work analyses a meteorological event, called nocturnal low-level jets (NLLJs), defined as high wind speeds relatively close to the surface. There were positive and negative impacts from NLLJs. While NLLJs increased the mean power production, they also increased the variability in the wind with height. Our results imply that long NLLJ events are also larger, affecting many wind turbines at the same time. Short NLLJ events are more local, having stronger effects on power variability.
This work analyses a meteorological event, called nocturnal low-level jets (NLLJs), defined as...
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