EAGER: Collaborative Analysis of Doppler Lidar Data from Canopy Horizontal Array Turbulence Study (CHATS)

像大气边界层结构和运动的许多遥感测量来源一样，多普勒激光雷达数据由于其体积大和非常详细的性质以及可能受到地球下垫面和/或植物冠层返回的干扰信号的污染，提出了一个艰巨的分析挑战。这项范围狭窄的研究工作将支持一位精通激光雷达测量的首席研究员和美国国家科学基金会国家大气研究中心的冠层诱导湍流专家之间的合作，以追求精确而经济有效的方法改进技术，以更自动化地处理以前在2007年冠层水平阵列湍流研究（CHATS）期间由美国国家科学基金会支持收集的激光雷达数据。这项工作的智力价值集中在开发和应用预期的相干结构的理想模型（例如在大涡模拟和其他手段中明显的滚动涡和其他现象），以提供一个节省人力的框架，其中原始径向速度测量可以更智能地处理和解释。这将反过来支持提取植物冠层上方相干结构的改进表示，这些结构负责与行星边界层交换动量和微量气体（如CO2）。在chat期间获得的冠层内串联高分辨率湍流通量测量值的可用性，可以评估这种先前未经证实的分析方法，这代表了一种潜在的高回报研究方法。这项工作的广泛影响包括提高下游生物地球化学循环和低层大气湍流来源的知识，以及加强首席研究员的课堂教育工作。

Like many sources of remotely-sensed measurements of atmospheric boundary layer structure and motions, Doppler lidar data present a formidable analysis challenge both owing to their voluminous and highly detailed nature and potential for contamination by interfering signals such as those returned from the earth's underlying surface and/or plant canopies. This tightly-scoped research effort will support collaborations between a principal investigator who is well versed in lidar measurements and a canopy-induced turbulence expert at NSF's National Center for Atmospheric Research to pursue improved techniques for accurate yet cost-effective means for more automated processing of lidar data previously collected with NSF support during the Canopy Horizontal Array Turbulence Study (CHATS) in 2007.The intellectual merit of this effort centers on development and application of idealized models of expected coherent structures (such as roll vortices and other phenomena evident in large-eddy simulations and via other means) to provide a labor-saving framework in which raw radial velocity measurements may be more intelligently processed and interpreted. This will in-turn support extraction of improved representations of coherent structures above plant canopies that are responsible for exchange of momentum and trace gases (such as CO2) with the planetary boundary layer. The availability of tandem in-canopy, high-resolution turbulent flux measurements obtained during CHATS to evaluate this previously unproven analysis approach represents a potentially high-payoff research approach. Broader impacts of this effort include improved downstream knowledge of biogeochemical cycles and sources of low-level atmospheric turbulence, as well as enhancements to the lead investigator's classroom education efforts.