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Multi-lidar wind resource mapping in complex terrain

Multi-lidar wind resource mapping in complex terrain
Abstract. Scanning Doppler lidars have great potential for reducing uncertainty of wind resource estimation in complex terrain. Due to their scanning capabilities, they can measure at multiple locations over large areas. We demonstrate this ability using dual-Doppler lidar measurements of flow over two parallel ridges. The data have been collected using two pairs of long-range WindScanner systems operated in a dual-Doppler mode during the Perdigão 2017 measurement campaign. The lidars mapped the flow along the southwest and northeast ridges 80 m above ground level. By analyzing the collected data, we found that for different flow conditions on average wind speeds are 10 % higher over the southwest ridge compared to the northeast ridge. At the southwest ridge, the data shows, depending on the atmospheric conditions, a change of 20 % in wind speed along the ridge. For the measurement period, we have simulated the flow over the site using WRF-LES to compare how well the model can capture wind resources along the ridges. We used two model configurations. In the first configuration, surface drag is based purely on aerodynamic roughness whereas in the second configuration forest canopy drag is also considered. We found that simulated winds are underestimated in WRF-LES runs with forest drag due to an unrealistic forest distribution on the ridge tops. The correlation of simulated and observed winds is, however, improved when the forest parameterization is applied. WRF-LES results without forest drag overestimated the wind resources over the southwest and northeast ridges by 6.5 % and 4.5 % respectively. Overall, this study demonstrates the ability of scanning lidars to map wind resources in complex terrain.
- Deutsches Zentrum für Luft- und Raumfahrt e.V, Institut für Physik der Atmosphäre Germany
- National Center for Atmospheric Research United States
- Earth Observing Laboratory (EOL), National Center for Atmospheric Research (NCAR), Boulder, CO, USA United States
- German Aerospace Center Germany
- Technical University of Denmark Denmark
doppler lidar, WRF-LES, Verkehrsmeteorologie, TJ807-830, Perdigão 2017, Renewable energy sources
doppler lidar, WRF-LES, Verkehrsmeteorologie, TJ807-830, Perdigão 2017, Renewable energy sources
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