• Medientyp: E-Book; Sonderdruck
  • Titel: Wind Lidar and Radiosonde Measurements of Low-Level Jets in Coastal Areas of the German Bight
  • Beteiligte: Rausch, Thomas [VerfasserIn]; Cañadillas, Beatriz [VerfasserIn]; Hampel, Oliver [VerfasserIn]; Simsek, Tayfun [VerfasserIn]; Tayfun, Yilmaz Batuhan [VerfasserIn]; Neumann, Thomas [VerfasserIn]; Siedersleben, Simon [VerfasserIn]; Lampert, Astrid [VerfasserIn]
  • Erschienen: Basel: MDPI, 2022
  • Erschienen in: Atmosphere : Special Issue Atmospheric Boundary Layer: Observation and Simulation ; 13 (2022) 5, 839
  • Umfang: 1 Online-Ressource (19 Seiten)
  • Sprache: Englisch
  • DOI: 10.3390/atmos13050839
  • ISSN: 2073-4433
  • Identifikator:
  • Entstehung:
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  • Beschreibung: For wind energy, the knowledge of the available wind resource is essential. Therefore, specific wind phenomena at the altitude range of wind turbines are currently the focus of investigations. One such specific feature is the low-level jet (LLJ). The article analyses LLJ properties at two locations in the German Bight: A wind lidar system for measuring wind profiles at heights from 50 m to 500 m a.g.l. (above ground level) was first installed at the offshore island of Heligoland, Germany, and then at the coastal island of Norderney, Germany, for one year. The LLJ is defined here as a maximum horizontal wind speed in the vertical profile of horizontal wind speed followed by a minimum wind speed, independent of the mechanism or origin of the phenomenon. The two sites showed a similar annual and diurnal distribution of LLJ events with a maximum occurrence in spring and summer and during the night, and a most frequent jet core height of around 120 m a.g.l. Based on radiosondes launched from Norderney at midnight and noon, it is shown that LLJ events at noon are most frequent when atmospheric conditions are stable. A case study shows the horizontal extent of an LLJ event over at least 100 km by simultaneous wind lidar measurements at four sites in the German Bight and mesoscale simulations with the weather research and forecast (WRF) model.
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