Determination of Atmospheric Turbulence Type from Operational Meteorological Measurements

IF 0.9 Q4 OPTICS Atmospheric and Oceanic Optics Pub Date : 2024-12-19 DOI:10.1134/S1024856024700829
V. V. Nosov, V. P. Lukin, E. V. Nosov, A. V. Torgaev
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Abstract—To determinate the atmospheric turbulence type (Kolmogorov, coherent, etc.) in operational mode, a new technique has been developed based on an algorithm for spectral analysis of sequential overlapping samples from a continuously replenished population of meteorological measurements. The samples are generated by the sliding time window method. A turbulence type criterion is the slope of the inertial interval of the spectrum of temperature fluctuations near the maximum, which is equal to −5/3 under Kolmogorov turbulence and −8/3 under coherent turbulence. The slope is calculated from the linear regression equation at the initial part of the spectrum, the length of which is specified by the decrease by one order of magnitude from the maximum. It is shown that these slopes are lognormally distributed for the recorded meteosituations under urban conditions. It is found that the proportion of non-Kolmogorov turbulence in more than 5 million calculated spectra is much larger than expected and amounts to 75–97% depending on the estimation rigor. It is shown that sequences of spectra with the same slope correspond to regions of turbulence of the same type. Boundaries of the regions are defined with accuracy of the sliding window shift step; the size of the regions is estimated based on data on the wind speed and recording time. It is shown that the extent of the regions can significantly exceed the length of a region for an ordinary sample under comparable conditions. To accelerate the post processing of large datasets, the algorithm uses the message passing interface (MPI) for a computing cluster with an arbitrary number of nodes. The field of application of the suggested technique in astronomical practice is the estimation and registration of the sizes of spatial regions of strong and weak turbulence, where the turbulence intensity is within fixed ranges, along an optical path, as well as the sizes of regions with fixed temperature stratification.

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从业务气象测量确定大气湍流类型
摘要:为了确定运行模式下的大气湍流类型(Kolmogorov、相干等),提出了一种基于连续补充的气象测量数据序列重叠样本光谱分析算法的新技术。采用滑动时间窗法生成样本。湍流类型判据是温度波动谱的惯性区间在最大值附近的斜率,在Kolmogorov湍流下等于- 5/3,在相干湍流下等于- 8/3。从光谱初始部分的线性回归方程计算斜率,其长度由从最大值减少一个数量级来指定。结果表明,在城市条件下,这些坡度是对数正态分布的。研究发现,在500多万计算谱中,非kolmogorov湍流的比例远远大于预期,根据估计严谨性的不同,其比例可达75-97%。结果表明,具有相同斜率的光谱序列对应于相同类型的湍流区域。用滑动窗口移步的精度定义区域边界;区域的大小是根据风速和记录时间的数据估计的。结果表明,在可比条件下,区域的范围可以显著超过普通样品的区域长度。为了加速大型数据集的后处理,该算法对具有任意数目节点的计算集群使用消息传递接口(MPI)。建议的技术在天文实践中的应用领域是沿光路估计和配准湍流强度在固定范围内的强湍流和弱湍流空间区域的大小,以及具有固定温度分层的区域的大小。
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来源期刊
CiteScore
2.40
自引率
42.90%
发文量
84
期刊介绍: Atmospheric and Oceanic Optics  is an international peer reviewed journal that presents experimental and theoretical articles relevant to a wide range of problems of atmospheric and oceanic optics, ecology, and climate. The journal coverage includes: scattering and transfer of optical waves, spectroscopy of atmospheric gases, turbulent and nonlinear optical phenomena, adaptive optics, remote (ground-based, airborne, and spaceborne) sensing of the atmosphere and the surface, methods for solving of inverse problems, new equipment for optical investigations, development of computer programs and databases for optical studies. Thematic issues are devoted to the studies of atmospheric ozone, adaptive, nonlinear, and coherent optics, regional climate and environmental monitoring, and other subjects.
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