Turbulent data from three sites are utilized to analyze the characteristic features of the Eulerian autocorrelation function (EAF) of horizontal (longitudinal and lateral) wind components and temperature under different regimes of wind speed and near-surface atmospheric stability. It is shown that classical formulations do not adequately describe the observed EAF behaviour and are unable to capture the peak of the significant negative observed lobe. These formulations are modified by introducing a phase angle \(\alpha\) to make them consistent with the observations. The modified formulations are shown to better characterize the behaviour of the EAF curve and its absolute value of significant negative lobe (\(\left|{R}_{Min}\right|\)) for both low and moderate wind conditions for all three datasets. Further, a new parametrization for the meandering parameter m is proposed in terms of the observed value of \(\left|{R}_{Min}\right|\) without using any formulations for the EAF. It is found that the majority of low and moderate wind data belong to the significant meandering range, although the extent of meandering is found to be relatively more pronounced at low wind speeds as compared to moderate wind speeds. The occurrence of meandering (low-frequency horizontal wind oscillations) is found to be independent of stability, topography, and geographical location.

利用来自三个站点的湍流数据，分析了不同风速和近地表大气稳定性状态下水平（纵向和横向）风分量和温度的欧拉自相关函数（EAF）的特征特征。结果表明，经典公式不能充分描述观察到的 EAF 行为，并且无法捕捉到显着负观察叶的峰值。这些公式通过引入相位角\(\alpha\)进行修改，以使其与观察结果一致。修改后的公式可以更好地表征 EAF 曲线的行为及其显着负叶的绝对值 ( \(\left|{R}_{Min}\right|\)) 适用于所有三个数据集的低风和中风条件。此外，根据\(\left|{R}_{Min}\right|\)的观测值，提出了一种新的曲折参数m的参数化，而不使用任何 EAF 公式。研究发现，大多数低风和中风数据都属于显着的曲折范围，尽管与中等风速相比，低风速时曲折的程度相对更明显。发现蜿蜒（低频水平风振荡）的发生与稳定性、地形和地理位置无关。