Shigaraki UAV-Radar Experiment (ShUREX) : overview of the campaign with some preliminary results

• 資料種別: 記事
• タイトル: Shigaraki UAV-Radar Experiment (ShUREX) : overview of the campaign with some preliminary results
• 著者・編者: Lakshmi Kantha; Dale Lawrence; Hubert Luce
• 出版事項: 日本 : Springer Nature
• 出版年月日等: 2017-07-17
• 出版年（W3CDTF）: 2017-07-17
• タイトル（掲載誌）: Progress in earth and planetary science
• 巻号年月日等（掲載誌）: 4(19)
• 掲載巻: 4(19)
• ISSN（掲載誌）: 2197-4284
• ISSN-L（掲載誌）: 2197-4284
• 本文の言語コード: eng
• DOI: 10.1186/s40645-017-0133-x; https://doi.org/10.1186/s40645-017-0133-x
• 国立国会図書館永続的識別子: info:ndljp/pid/10980286; https://dl.ndl.go.jp/pid/10980286
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• 受理日（W3CDTF）: 2017-10-30T20:11:03+09:00
• 保存日（W3CDTF）: 2017-10-27
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• 掲載誌（URI）: https://progearthplanetsci.springeropen.com/articles
• 掲載誌（国立国会図書館永続的識別子）: info:ndljp/pid/10369577; https://dl.ndl.go.jp/pid/10369577
• 連携機関・データベース: 国立国会図書館 : 国立国会図書館デジタルコレクション; https://dl.ndl.go.jp

• 要約等: The Shigaraki unmanned aerial vehicle (UAV)-Radar Experiment (ShUREX) is an international (USA-Japan-France) observational campaign, whose overarching goal is to demonstrate the utility of small, lightweight, inexpensive, autonomous UAVs in probing and monitoring the lower troposphere and to promote synergistic use of UAVs and very high frequency (VHF) radars. The 2-week campaign lasting from June 1 to June 14, 2015, was carried out at the Middle and Upper Atmosphere (MU) Observatory in Shigaraki, Japan. During the campaign, the DataHawk UAV, developed at the University of Colorado, Boulder, and equipped with high-frequency response cold wire and pitot tube sensors (as well as an iMET radiosonde), was flown near and over the VHF-band MU radar. Measurements in the atmospheric column in the immediate vicinity of the radar were obtained. Simultaneous and continuous operation of the radar in range imaging mode enabled fine-scale structures in the atmosphere to be visualized by the radar. It also permitted the UAV to be commanded to sample interesting structures, guided in near real time by the radar images. This overview provides a description of the ShUREX campaign and some interesting but preliminary results of the very first simultaneous and intensive probing of turbulent structures by UAVs and the MU radar. The campaign demonstrated the validity and utility of the radar range imaging technique in obtaining very high vertical resolution (~20 m) images of echo power in the atmospheric column, which display evolving fine-scale atmospheric structures in unprecedented detail. The campaign also permitted for the very first time the evaluation of the consistency of turbulent kinetic energy dissipation rates in turbulent structures inferred from the spectral broadening of the backscattered radar signal and direct, in situ measurements by the high-frequency response velocity sensor on the UAV. The data also enabled other turbulence parameters such as the temperature structure function parameter CT2 and refractive index structure function parameter Cn2 to be measured by sensors on the UAV, along with radar-inferred refractive index structure function parameter Cn, radar2. The comprehensive dataset collected during the campaign (from the radar, the UAV, the boundary layer lidar, the ceilometer, and radiosondes) is expected to help obtain a better understanding of turbulent atmospheric structures, as well as arrive at a better interpretation of the radar data.; The Correction to this article has been published in Progress in Earth and Planetary Science 2018 5:48
• DOI: 10.1186/s40645-017-0133-x; https://doi.org/10.1186/s40645-017-0133-x
• オンライン閲覧公開範囲: インターネット公開
• 著作権情報: © The Author(s). 2017. 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.
• 関連情報（URI）: http://hdl.handle.net/2433/237298; http://id.ndl.go.jp/digimeta/10980286; https://dl.ndl.go.jp/pid/10980286; http://link.springer.com/article/10.1186/s40645-017-0133-x/fulltext.html; http://link.springer.com/content/pdf/10.1186/s40645-017-0133-x.pdf
• 参照: Atmospheric Kelvin-Helmholtz b illows captured by the MU radar, lidars and a fish-eye camera; https://cir.nii.ac.jp/crid/1050004953482844544; Comparisons between high-resolution profiles of squared refractive index gradient <i>M</i><sup>2</sup> measured by the Middle and Upper Atmosphere Radar and unmanned aerial vehicles (UAVs) during the Shigaraki UAV-Radar Experiment 2015 campaign; https://cir.nii.ac.jp/crid/1050282810825958912; Vertical structure of the lower troposphere derived from MU radar, unmanned aerial vehicle, and balloon measurements during ShUREX 2015; https://cir.nii.ac.jp/crid/1050282813184368384; 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; On the Performance of the Range Imaging Technique Estimated Using Unmanned Aerial Vehicles During the ShUREX 2015 Campaign; https://cir.nii.ac.jp/crid/1360848660334897152
• 参照: Simultaneous observations of tropospheric turbulence from radiosondes using Thorpe analysis and the VHF MU radar; https://cir.nii.ac.jp/crid/1360004229801411328; Retrieval of atmospheric static stability from MST radar return signal power; https://cir.nii.ac.jp/crid/1360011143680151424; Measurements of the Temperature Structure-Function Parameters with a Small Unmanned Aerial System Compared with a Sodar; https://cir.nii.ac.jp/crid/1360011145939498880; Convective Instability Underneath Midlevel Clouds: Comparisons between Numerical Simulations and VHF Radar Observations; https://cir.nii.ac.jp/crid/1360011146090014208; Comparisons of refractive index gradient and stability profiles measured by balloons and the MU radar at a high vertical resolution in the lower stratosphere; https://cir.nii.ac.jp/crid/1360292620072055936; Turbulence Measurements with the CIRES Tethered Lifting System during CASES-99: Calibration and Spectral Analysis of Temperature and Velocity; https://cir.nii.ac.jp/crid/1360292621269595520; Seasonal variability of vertical eddy diffusivity in the middle atmosphere: 1. Three‐year observations by the middle and upper atmosphere radar; https://cir.nii.ac.jp/crid/1360574093499373312; Reflection and scatter formula for anisotropically turbulent air; https://cir.nii.ac.jp/crid/1360574095509690240; Radar Observations of the Clear Atmosphere; https://cir.nii.ac.jp/crid/1360855571219129728; High-Resolution Atmospheric Sensing of Multiple Atmospheric Variables Using the DataHawk Small Airborne Measurement System; https://cir.nii.ac.jp/crid/1361418519011797888; Energetics of persistent turbulent layers underneath mid-level clouds estimated from concurrent radar and radiosonde data; https://cir.nii.ac.jp/crid/1361418520912424832; On the extraction of atmospheric turbulence parameters from radar backscatter Doppler spectra—I. Theory; https://cir.nii.ac.jp/crid/1362262944003410688; Atmospheric Structure and Radar Backscattering in Clear Air; https://cir.nii.ac.jp/crid/1362544419326109440; A review of Mesosphere–Stratosphere–Troposphere (MST) radar developments and studies, circa 1997–2008; https://cir.nii.ac.jp/crid/1362825894094854656; Space and Time Filtering of Remotely Sensed Velocity Turbulence; https://cir.nii.ac.jp/crid/1362825895948902528; Lyapunov Vector Fields for Autonomous Unmanned Aircraft Flight Control; https://cir.nii.ac.jp/crid/1363107369189045504; Measurement of turbulent energy dissipation rates in the middle atmosphere by radar techniques: A review; https://cir.nii.ac.jp/crid/1363388843902057600; Measuring the Wind Vector Using the Autonomous Mini Aerial Vehicle M2AV; https://cir.nii.ac.jp/crid/1363388844503180416; A frequency domain radar interferometric imaging (FII) technique based on high-resolution methods; https://cir.nii.ac.jp/crid/1363388844829497856; The Generation of Turbulence below Midlevel Cloud Bases: The Effect of Cooling due to Sublimation of Snow; https://cir.nii.ac.jp/crid/1363670318618647168; Range imaging using frequency diversity; https://cir.nii.ac.jp/crid/1363670319115446912; UHF/VHF Radar Techniques for Atmospheric Research and Wind Profiler Applications; https://cir.nii.ac.jp/crid/1363670319568539520; Fine-Scale Characteristics of Temperature, Wind, and Turbulence in the Lower Atmosphere (0–1,300 m) Over the South Peruvian Coast; https://cir.nii.ac.jp/crid/1363951794090301952; MU radar: New capabilities and system calibrations; https://cir.nii.ac.jp/crid/1363951795568708864; Simultaneous observations of structure function parameter of refractive index using a high-resolution radar and the DataHawk small airborne measurement system; https://cir.nii.ac.jp/crid/1364233270022755840; Middle atmosphere research and radar observation; https://cir.nii.ac.jp/crid/1390282679121576832; Characteristics of atmospheric gravity waves observed using the MU (Middle and Upper atmosphere) radar and GPS (Global Positioning System) radio occultation; https://cir.nii.ac.jp/crid/1390282679124063488; The dynamical parameters of turbulence theory as they apply to middle atmosphere studies; https://cir.nii.ac.jp/crid/1390282681487197440
• 連携機関・データベース: 国立情報学研究所 : CiNii Research; https://cir.nii.ac.jp/
• 提供元機関・データベース: 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; 科学研究費助成事業データベース; https://kaken.nii.ac.jp/ja
• 書誌ID（NDLBibID）: 10980286; http://id.ndl.go.jp/bib/10980286
• NII論文ID: 120006579469