This study applies the models describing the effect of a neutrally stratified high-Reynolds-number boundary layer on peak wind estimation. A neutrally stratified atmosphere was simulated by ideal large-eddy simulations. The peak factor (PF) model successfully predicted the dependence of the PF on the duration and the evaluation time based on a spectral model containing \(k^{-1}\) slopes at low frequencies. Time-dependent wind peak emergence was evaluated considering the amplitude modulation (AM) concept. For a large part of the atmospheric surface layer, the deviation of the time-dependent mean wind speed played a key role in peak modulation. The effect of a small-scale fluctuation cycle on peak modulation was found to be pronounced, specifically near the surface. It was possible to construct a predictive indicator of a peak event arrival based on the existing predictive model by AM.

本研究应用了描述中性分层高雷诺数边界层对峰值风估计的影响的模型。通过理想的大涡模拟模拟中性分层大气。峰值因子 (PF) 模型基于包含\(k^{-1}\)的谱模型成功预测了 PF 对持续时间和评估时间的依赖性低频下的斜率。考虑到幅度调制 (AM) 概念，评估了与时间相关的风峰出现。对于大部分大气表层，随时间变化的平均风速的偏差在峰值调制中起关键作用。发现小尺度波动周期对峰值调制的影响很明显，特别是在表面附近。AM可以基于现有的预测模型构建峰值事件到达的预测指标。