Modelling the horizontal and vertical variation of wind speed is crucial for wind energy applications. A model frequently used for this purpose is part of the Wind Atlas Analysis and Application program (WAsP). Here, we modify the model in WAsP to account for local atmospheric stability parameters. Atmospheric stability effects are treated by using the impact of a temperature scale on the geostrophic drag law and the diabatic logarithmic wind profile. Using this approach, wind-direction dependent mean and standard deviation of a surface-layer temperature scale and a mean boundary-layer height scale can be obtained from either numerical weather prediction model output or observations to improve vertical extrapolations of Weibull wind speed distribution parameters. The modified atmospheric stability model is validated at six flat sites in northwestern Europe. The surface-layer temperature scale is available from sonic anemometer measurements at three of the sites. At all sites the temperature scale is also estimated from reanalysis data and from mesoscale model output. The modified model improves the aggregated estimations of power density distributions when extrapolating to nearby locations from 5.2 to 3%, when using the temperature scale derived from either observations or mesoscale/reanalysis output compared to the current model.

模拟风速的水平和垂直变化对于风能应用至关重要。经常用于此目的的模型是风图分析和应用程序 (WAsP) 的一部分。在这里，我们修改 WAsP 中的模型以考虑当地大气稳定性参数。通过使用温标对地转阻力定律和非绝热对数风廓线的影响来处理大气稳定性效应。使用这种方法，可以从数值天气预报模型输出或观测中获得表层温度尺度和平均边界层高度尺度的风向依赖平均值和标准偏差，以改进威布尔风速分布参数的垂直外推。修改后的大气稳定性模型在欧洲西北部的六个平坦地点进行了验证。表面层温标可从三个地点的声速计测量中获得。在所有地点，温标也是根据再分析数据和中尺度模型输出估算的。与当前模型相比，当使用从观测或中尺度/再分析输出中得出的温度标度时，修改后的模型在外推到附近位置时将功率密度分布的聚合估计从 5.2% 提高到 3%。