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火星大气湍流中通用标度律 regime 的谱位置。

Spectral location for the universal scaling regime in Martian atmospheric turbulence.

作者信息

Coimbra Miya C Y, de la Torre Juárez Manuel, McKeon Beverley J, Marín Mercedes, Murdoch Naomi, Navarro Sara, Rodríguez-Manfredi José Antonio, Stott Alexander

机构信息

Department of Mechanical Engineering, Stanford University, Stanford, CA 94305 USA.

Jet Propulsion Laboratory/California Institute of Technology, Pasadena, CA 91109 USA.

出版信息

Commun Earth Environ. 2024;5(1):597. doi: 10.1038/s43247-024-01752-6. Epub 2024 Oct 16.

DOI:10.1038/s43247-024-01752-6
PMID:39430423
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11485230/
Abstract

Atmospheric turbulence, irregular fluctuations of the fluid state, is studied on Mars. Universality of the turbulence spectrum underpins atmospheric models where computational requirements preclude full fidelity simulations of the smallest scales. However, there are discrepancies among reports on the existence and spectral location of universal scaling in Martian atmospheric data. Here, results indicate the smallest resolvable structures from Martian wind speed data are still associated with the energetic regime, which may ultimately explain why multiple reports have not found a consistent Kolmogorov-like spectral regime on Mars. Universal spectral scaling of wind data from Perseverance's Mars Environmental Dynamics Analyzer is used to estimate the thresholds that separate three turbulence regimes: energetic, inertial, and molecular dissipation. Wind measurements at 2-Hz, the fastest sampling rate for direct wind sensor measurements on Mars, resolves turbulence in the energetic regime and approaches the inertial regime, which is consistent with reported Martian dust devil sizes.

摘要

火星上正在研究大气湍流,即流体状态的不规则波动。湍流谱的普遍性是大气模型的基础,在这些模型中,计算要求使得无法对最小尺度进行完全保真模拟。然而,关于火星大气数据中普遍标度的存在和谱位置的报告之间存在差异。在这里,结果表明,火星风速数据中最小可分辨结构仍与高能区相关,这可能最终解释了为什么多篇报告在火星上未发现一致的类似柯尔莫哥洛夫谱区。利用“毅力号”火星环境动力学分析仪的风数据的通用谱标度来估计区分三种湍流状态的阈值:高能、惯性和分子耗散。以2赫兹的风速测量是火星上直接风传感器测量的最快采样率,它能分辨高能区的湍流并接近惯性区,这与报告的火星尘卷风大小一致。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9468/11485230/7d237b8b90d3/43247_2024_1752_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9468/11485230/659801d8934f/43247_2024_1752_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9468/11485230/403403dcaeac/43247_2024_1752_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9468/11485230/7d237b8b90d3/43247_2024_1752_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9468/11485230/659801d8934f/43247_2024_1752_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9468/11485230/403403dcaeac/43247_2024_1752_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9468/11485230/7d237b8b90d3/43247_2024_1752_Fig3_HTML.jpg

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本文引用的文献

1
Signatures of geostrophic turbulence in power spectra and third-order structure function of offshore wind speed fluctuations.近海风风速波动功率谱和三阶结构函数中的地转湍流特征
Sci Rep. 2023 Aug 17;13(1):13411. doi: 10.1038/s41598-023-40450-9.
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Winds at the Mars 2020 Landing Site. 2. Wind Variability and Turbulence.火星2020着陆点的风。2. 风的变化性与湍流
J Geophys Res Planets. 2022 Dec;127(12):e2022JE007523. doi: 10.1029/2022JE007523. Epub 2022 Dec 21.
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In situ recording of Mars soundscape.原位记录火星音景。
Nature. 2022 May;605(7911):653-658. doi: 10.1038/s41586-022-04679-0. Epub 2022 Apr 1.
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The Mars Environmental Dynamics Analyzer, MEDA. A Suite of Environmental Sensors for the Mars 2020 Mission.火星环境动力学分析仪(MEDA)。一套用于火星2020任务的环境传感器。
Space Sci Rev. 2021;217(3):48. doi: 10.1007/s11214-021-00816-9. Epub 2021 Apr 13.
5
Asymptotic scaling in turbulent pipe flow.湍流管流中的渐近标度
Philos Trans A Math Phys Eng Sci. 2007 Mar 15;365(1852):771-87. doi: 10.1098/rsta.2006.1945.
6
The near-neutral atmospheric surface layer: turbulence and non-stationarity.近中性大气边界层:湍流与非平稳性
Philos Trans A Math Phys Eng Sci. 2007 Mar 15;365(1852):859-76. doi: 10.1098/rsta.2006.1946.