大涡天文台Voitsumra实验2019(LOVE19),通过光纤分布式遥感、塔和地面遥感对大气温度、风速和风向进行高分辨率、空间分布的观测

K. Lapo, A. Freundorfer, A. Fritz, Johann Schneider, Johannes Olesch, W. Babel, Christoph K. Thomas
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引用次数: 4

摘要

摘要弱风稳定边界层(wwSBL)的理论描述很差,并且打破了观测湍流所必需的基本假设。了解wssbl需要能够在亚中尺度和湍流尺度之间分离的分布式观测。为此,我们提出了大涡天文台Voitsumra实验2019 (LOVE19),该实验以1350 m的光纤分布式传感(FODS)为特征,在1 s和0.127 m的尺度上进行气温和风速,以及实验风向方法,此外还有一套湍流点观测和地面遥感。此外,将光纤电缆连接到系留气球上的飞行提供了前所未有的边界层结构详细视图,分辨率为0.254米,在1-200米高度之间为10秒。本文提供了两个例子来证明LOVE19数据在检测边界层过程方面的独特能力:1)在重力波传播整个边界层期间,FODS观测高度在1米至~200米之间;2)跟踪导致间歇性湍流爆发的近地表瞬态亚中尺度结构。所有数据均可通过DOI https://doi.org/10.5281/zenodo.4312976 (Lapo et al., 2020a)在Zenodo访问。
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The Large-eddy Observatory Voitsumra Experiment 2019 (LOVE19) with high-resolution, spatially-distributed observations of air temperature, wind speed, and wind direction from fiber-optic distributed sensing, towers, and ground-based remote sensing
Abstract. The weak-wind Stable Boundary Layer (wwSBL) is poorly described by theory and breaks basic assumptions necessary for observations of turbulence. Understanding the wwSBL requires distributed observations capable of separating between submeso and turbulent scales. To this end, we present the Large Eddy Observatory, Voitsumra Experiment 2019 (LOVE19) which featured 1350 m of fiber optic distributed sensing (FODS) of air temperature and wind speed, as well as an experimental wind direction method, at scales as fine as 1 s and 0.127 m in addition to a suite of point observations of turbulence and ground-based remote sensing. Additionally, flights with a fiber optic cable attached to a tethered balloon provide an unprecedented detailed view of the boundary layer structure with a resolution of 0.254 m and 10 s between 1–200 m height. Two examples are provided demonstrating the unique capabilities of the LOVE19 data for examining boundary layer processes: 1) FODS observations between 1m and ~200 m height during a period of gravity waves propagating across the entire boundary layer and 2) tracking a near-surface, transient submeso structure that causes an intermittent burst of turbulence. All data can be accessed at Zenodo through the DOI https://doi.org/10.5281/zenodo.4312976 (Lapo et al., 2020a).
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