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
• Date Captured (W3CDTF): 2019-02-28
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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
• Data Provider (Database): 国立情報学研究所 : CiNii Research; https://cir.nii.ac.jp/
• Original Data Provider (Database): 学術機関リポジトリデータベース; https://irdb.nii.ac.jp; 雑誌記事索引データベース; https://ndlsearch.ndl.go.jp; Crossref; https://www.crossref.org; CiNii Articles
• Bibliographic ID (NDL): 11245703; http://id.ndl.go.jp/bib/11245703
• NAID: 120006892067

• Summary, etc.: レトルト殺菌処理をすることでエビの組織が脆弱化する原因を探索した。試料は非加熱，ボイル，レトルトしたウシエビを用いた。組織強度測定，官能評価，X 線 CT・SEM・ESEM による構造観察，コラーゲンのゼラチン化率測定を行った。レトルト試料の組織は軟化し，弾力が失われた食感を示し，筋肉構造や筋繊維構造は崩れ，コラーゲンのゼラチン化率はボイル試料より高かった。エビはレトルト殺菌によりコラーゲンのゼラチン化が多く起こることで組織は脆弱化する可能性が示唆された。<br>
• DOI: 10.2331/suisan.77.887; https://doi.org/10.2331/suisan.77.887
• Related Material (URI): https://agriknowledge.affrc.go.jp/RN/2010814444; http://id.ndl.go.jp/bib/11245703; https://ndlsearch.ndl.go.jp/books/R000000004-I11245703
• References: Canned Shrimp Texture as a Function of Its Heat History; https://cir.nii.ac.jp/crid/1360011146083330304; Microstructural Changes of Ice‐Chilled and Cooked Freshwater Prawn, Macrobrachium rosenbergii; https://cir.nii.ac.jp/crid/1361981469465811968; Multifractal properties of pore-size distribution in apple tissue using X-ray imaging; https://cir.nii.ac.jp/crid/1362262944449523328; Comparative study of DSC pattern, colour and texture of shrimps during heating; https://cir.nii.ac.jp/crid/1362825893621291520; PGS: le cœur biotech d'AgrEvo; https://cir.nii.ac.jp/crid/1363107369831742336; Changes in intramuscular connective tissue and collagen solubility of bovine m.semitendinosus during retorting; https://cir.nii.ac.jp/crid/1363670319794677120; Effect of heating on physical properties and microstructure of black tiger shrimp (<i>Penaeus monodon</i>) and white shrimp (<i>Penaeus vannamei</i>) meats; https://cir.nii.ac.jp/crid/1364233270105688320; 環境制御型走査電子顕微鏡（ＥＳＥＭ）; https://cir.nii.ac.jp/crid/1390001204065451264; クルマエビの腹部筋肉の構造; https://cir.nii.ac.jp/crid/1390001206413230592; Characterization of Collagen in the Muscle of Several Crustacean Species in Association with Raw Meat Texture; https://cir.nii.ac.jp/crid/1390282679404825856; 環境制御型走査電子顕微鏡; https://cir.nii.ac.jp/crid/1390282679742444288
• Data Provider (Database): 国立情報学研究所 : CiNii Research; https://cir.nii.ac.jp/
• Original Data Provider (Database): Japan Link Center; https://japanlinkcenter.org/top; 学術機関リポジトリデータベース; https://irdb.nii.ac.jp; 雑誌記事索引データベース; https://ndlsearch.ndl.go.jp; Crossref; https://www.crossref.org; CiNii Articles
• Bibliographic ID (NDL): 11245703; http://id.ndl.go.jp/bib/11245703
• NAID: 10029457165