Turbulence kinetic energy dissipation rates estimated from concurrent UAV and MU radar measurements

• Material Type: 記事
• Title: Turbulence kinetic energy dissipation rates estimated from concurrent UAV and MU radar measurements
• Author/Editor: Hubert Luce; Lakshmi Kantha; Hiroyuki Hashiguchi
• Publication, Distribution, etc.: 日本 : Springer Nature
• Publication Date: 2018-12-27
• Publication Date (W3CDTF): 2018-12-27
• Periodical title: EPS : Earth, Planets and Space
• No. or year of volume/issue: 70(207)
• Volume: 70(207)
• ISSN (Periodical Title): 1880-5981
• ISSN-L (Periodical Title): 1343-8832
• Text Language Code: eng
• DOI: 10.1186/s40623-018-0979-1; https://doi.org/10.1186/s40623-018-0979-1
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• Date Accepted (W3CDTF): 2019-02-28T20:23:34+09:00
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• Summary, etc.: We tested models commonly used for estimating turbulence kinetic energy dissipation rates ε from very high frequency stratosphere–troposphere radar data. These models relate the root-mean-square value σ of radial velocity fluctuations assessed from radar Doppler spectra to ε. For this purpose, we used data collected from the middle and upper atmosphere (MU) radar during the Shigaraki unmanned aerial vehicle (UAV)—radar experiment campaigns carried out at the Shigaraki MU Observatory, Japan, in June 2016 and 2017. On these occasions, UAVs equipped with fast-response and low-noise Pitot tube sensors for turbulence measurements were operated in the immediate vicinity of the MU radar. Radar-derived dissipation rates ε estimated from the various models at a range resolution of 150 m from the altitude of 1.345 km up to the altitude of ~ 4.0 km, a (half width half power) beam aperture of 1.32° and a time resolution of 24.6 s, were compared to dissipation rates (εU) directly obtained from relative wind speed spectra inferred from UAV measurements. Firstly, statistical analysis results revealed a very close relationship between enhancements of σ and εU for εU≳10⁻⁵m²s⁻³, , indicating that both instruments detected the same turbulent events with εU above this threshold. Secondly, εU was found to be statistically proportional to σ³, whereas a σ² than the longitudinal and transverse dimensions of the radar sampling volume. The σ³ dependence was found even after excluding convectively generated turbulence in the planetary boundary layer and below clouds. The best agreement between εU and radar-derived ε was obtained with the simple formulation based on dimensional analysis ε=σ³ /Lc where LC ≈ 50–70 m. This empirical expression constitutes a simple way to estimate dissipation rates in the lower troposphere from MU radar data whatever the sources of turbulence be, in clear air or cloudy conditions, consistent with UAV estimates.
• DOI: 10.1186/s40623-018-0979-1; https://doi.org/10.1186/s40623-018-0979-1
• Access Restrictions: インターネット公開
• Rights (production): © The Author(s) 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
• Related Material (URI): http://hdl.handle.net/2433/255592; http://id.ndl.go.jp/digimeta/11245703; https://dl.ndl.go.jp/pid/11245703; http://link.springer.com/content/pdf/10.1186/s40623-018-0979-1.pdf; http://link.springer.com/article/10.1186/s40623-018-0979-1/fulltext.html
• Is Referenced By: Special issue “Recent Advances in MST and EISCAT/Ionospheric Studies – Special Issue of the Joint MST15 and EISCAT18 Meetings, May 2017”; https://cir.nii.ac.jp/crid/1050567903432019584; Turbulence kinetic energy dissipation rate estimated from a WindCube Doppler lidar and the LQ7 1.3 GHz radar wind profiler in the convective boundary layer; https://cir.nii.ac.jp/crid/1360306904396649344; On the estimation of vertical air velocity and detection of atmospheric turbulence from the ascent rate of balloon soundings; https://cir.nii.ac.jp/crid/1360580232390912640
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• NAID: 120006892067