Integrated quadrant analysis is a novel technique to identify and to characterize the trajectory and strength of turbulent coherent structures in the atmospheric surface layer. By integrating the three-dimensional velocity field characterized by traditional quadrant analysis with respect to time, the trajectory history of individual coherent structures can be preserved with Eulerian turbulence measurements. We develop a method to identify the ejection phase of coherent structures based on turbulence kinetic energy (TKE). Identifying coherent structures within a time series using TKE performs better than identifying them with the streamwise and vertical velocity components because some coherent structures are dominated by the cross-stream velocity component as they pass the sensor. By combining this identification method with the integrated quadrant analysis, one can animate or plot the trajectory of individual coherent structures from high-frequency velocity measurements. This procedure links a coherent ejection with the subsequent sweep and quiescent period in time to visualize and quantify the strength and the duration of a coherent structure. We develop and verify the method of integrated quadrant analysis with data from two field studies: the Eclipse Boundary Layer Experiment (EBLE) in Corvallis, Oregon in August 2017 (grass field) and the Vertical Cherry Array Experiment (VACE) in Linden, California in November 2019 (cherry orchard). The combined TKE identification method and integrated quadrant analysis are promising additions to conditional sampling techniques and coherent structure characterization because the identify coherent structures and couple the sweep and ejection components in space. In an orchard (VACE), integrated quadrant analysis verifies each coherent structure is dominated by a sweep. Conversely, above the roughness sublayer (EBLE), each coherent structure is dominated by an ejection.

综合象限分析是一种识别和表征大气表层湍流相干结构的轨迹和强度的新技术。通过将传统象限分析所表征的三维速度场与时间相结合，可以通过欧拉湍流测量来保存单个相干结构的轨迹历史。我们开发了一种基于湍流动能 (TKE) 来识别相干结构的喷射阶段的方法。使用 TKE 识别时间序列内的相干结构比使用流向和垂直速度分量识别它们的性能更好，因为一些相干结构在它们通过传感器时受横向流速度分量的支配。通过将这种识别方法与集成象限分析相结合，人们可以从高频速度测量中动画或绘制单个相干结构的轨迹。该程序将连贯的喷射与随后的扫描和静止时间联系起来，以可视化和量化连贯结构的强度和持续时间。我们利用来自两项实地研究的数据开发和验证了集成象限分析方法：2017 年 8 月在俄勒冈州科瓦利斯（草场）的 Eclipse 边界层实验 (EBLE) 和在加利福尼亚州林登的垂直樱桃阵列实验 (VACE) 2019 年 11 月（樱桃园）。组合的 TKE 识别方法和集成象限分析是条件采样技术和相干结构表征的有希望的补充，因为它可以识别相干结构并耦合空间中的扫描和喷射组件。在果园 (VACE) 中，集成象限分析验证每个相干结构均由扫描控制。相反，在粗糙度子层 (EBLE) 之上，每个相干结构都由喷射支配。