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时变滤波器在山区稳定条件下的性能。

The Performance of a Time-Varying Filter Time Under Stable Conditions over Mountainous Terrain.

作者信息

Lehner Manuela, Rotach Mathias W

机构信息

Department of Atmospheric and Cryospheric Sciences, University of Innsbruck, Innrain 52f, 6020 Innsbruck, Austria.

出版信息

Boundary Layer Meteorol. 2023;188(3):523-551. doi: 10.1007/s10546-023-00824-y. Epub 2023 Jul 29.

DOI:10.1007/s10546-023-00824-y
PMID:37701414
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10492749/
Abstract

Eddy-covariance data from five stations in the Inn Valley, Austria, are analyzed for stable conditions to determine the gap scale that separates turbulent from large-scale, non-turbulent motions. The gap scale is identified from (co)spectra calculated from different variables using both Fourier analysis and multi-resolution flux decomposition. A correlation is found between the gap scale and the mean wind speed and stability parameter / that is used to determine a time-varying filter time, whose performance in separating turbulent and non-turbulent motions is compared to the performance of constant filter times between 0.5 and 30 min. The impact of applying different filter times on the turbulence statistics depends on the parameter and location, with a comparatively smaller impact on the variance of the vertical wind component than on the horizontal components and the turbulent fluxes. Results indicate that a time-varying filter time based on a multi-variable fit taking both mean wind speed and stability into account and a constant filter time of 2-3 min perform best in that they remove most of the non-turbulent motions while at the same time capturing most of the turbulence. For the studied sites and conditions, a time-varying filter time does not outperform a well chosen constant filter time because of relatively small variations in the filter time predicted by the correlation with mean flow parameters.

摘要

对来自奥地利因河谷五个站点的涡度协方差数据进行稳定条件分析，以确定将湍流运动与大尺度非湍流运动区分开来的间隙尺度。利用傅里叶分析和多分辨率通量分解，从不同变量计算出的（共）谱中识别出间隙尺度。发现间隙尺度与平均风速和稳定性参数/之间存在相关性，该参数用于确定一个随时间变化的滤波时间，并将其在分离湍流和非湍流运动方面的性能与0.5至30分钟之间的恒定滤波时间的性能进行比较。应用不同滤波时间对湍流统计量的影响取决于参数和位置，对垂直风分量方差的影响相对小于对水平分量和湍流通量的影响。结果表明，基于同时考虑平均风速和稳定性的多变量拟合的随时间变化的滤波时间以及2至3分钟的恒定滤波时间表现最佳，因为它们去除了大部分非湍流运动，同时捕获了大部分湍流。对于所研究的站点和条件，由于与平均流参数的相关性预测的滤波时间变化相对较小，随时间变化的滤波时间并不优于精心选择的恒定滤波时间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c86/10492749/86aa2cd8f308/10546_2023_824_Fig13_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c86/10492749/86aa2cd8f308/10546_2023_824_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c86/10492749/b5b787a56e8d/10546_2023_824_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c86/10492749/0ff0ce96bd04/10546_2023_824_Fig2_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c86/10492749/662849cdce2f/10546_2023_824_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c86/10492749/f57b4d568a4c/10546_2023_824_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c86/10492749/092ccdd9ce76/10546_2023_824_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c86/10492749/c8239029e563/10546_2023_824_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c86/10492749/4b3622a19c78/10546_2023_824_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c86/10492749/8f9b617c7362/10546_2023_824_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c86/10492749/ee9712897d36/10546_2023_824_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c86/10492749/dc1cf4f4edb7/10546_2023_824_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c86/10492749/86aa2cd8f308/10546_2023_824_Fig13_HTML.jpg

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本文引用的文献

1
Dependence of near-surface similarity scaling on the anisotropy of atmospheric turbulence.近地表相似性尺度对大气湍流各向异性的依赖性。
Q J R Meteorol Soc. 2018 Apr;144(712):641-657. doi: 10.1002/qj.3224. Epub 2018 Aug 28.
2
Scaling, Anisotropy, and Complexity in Near-Surface Atmospheric Turbulence.近地表大气湍流中的尺度、各向异性与复杂性
J Geophys Res Atmos. 2019 Feb 16;124(3):1428-1448. doi: 10.1029/2018JD029383. Epub 2019 Feb 8.