Atmospheric Kelvin–Helmholtz billows captured by the MU radar, lidars and a fish-eye camera

被引:0
|
作者
Hubert Luce
Lakshmi Kantha
Masanori Yabuki
Hiroyuki Hashiguchi
机构
[1] Université de Toulon & Université de Aix-Marseille,Mediterranean Institute of Oceanography, IRD, CNRS, UMR 7294
[2] University of Colorado Boulder,Department of Aerospace Engineering Sciences
[3] Kyoto University,Research Institute for Sustainable Humanosphere
来源
关键词
Kelvin–Helmholtz instability; Turbulence; Kelvin–Helmholtz billows; Wind shear; Kinetic energy dissipation rate; MU radar;
D O I
暂无
中图分类号
学科分类号
摘要
On June 11, 2015, a train of large-amplitude Kelvin–Helmholtz (KH) billows was monitored by the Middle and Upper Atmosphere (MU) radar (Shigaraki MU Observatory, Japan) at the altitude of ~ 6.5 km. Four to five KH billows in formation and decay stages were observed for about 20 min at the height of a strong speed shear (> ~ 30 m s−1km−1), just a few hundred meters above a mid-level cloud base. The turbulent billows had a spacing of about 3.5–4.0 km (3.71 km in average) and an aspect ratio (depth/spacing) of ~ 0.3. The turbulence kinetic energy dissipation rate estimated was of the order of 10–50 mWkg-1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\text{mWkg}}^{ - 1}$$\end{document}, corresponding to moderate turbulence according to ICAO (2010) classification. By chance, an upward-looking fish-eye camera producing pictures once every minute detected smooth protuberances at the cloud base caused by the KH billows so that comparisons of their characteristics could be made for the first time between the radar observations and the pictures. The main characteristics of the KH wave (horizontal wavelength, phase front direction and phase speed) obtained from the analysis of the pictures were fully consistent with those found from radar data. The pictures indicated that the billows were advected by the wind observed at the height of the critical level. They also revealed a very small transverse extent (about twice the horizontal spacing) suggesting that the large-amplitude KH billows were generated by a very localized source. Micro-pulse lidar and Raman–Rayleigh–Mie lidar data also collected during the event permitted us to confirm some of the characteristics of the billows. [graphic not available: see fulltext]
引用
收藏
相关论文
共 50 条
  • [41] SLAM-based Integrity Monitoring Using GPS and Fish-eye Camera
    Bhamidipati, Sriramya
    Gao, Grace Xingxin
    PROCEEDINGS OF THE 32ND INTERNATIONAL TECHNICAL MEETING OF THE SATELLITE DIVISION OF THE INSTITUTE OF NAVIGATION (ION GNSS+ 2019), 2019, : 4116 - 4129
  • [42] High precision two-step calibration method for the fish-eye camera
    Tu, Bo
    Liu, Lu
    Liu, Yihui
    Jin, Ye
    Tang, Junxiong
    APPLIED OPTICS, 2013, 52 (07) : C37 - C42
  • [43] Range-imaging observations of cumulus convection and Kelvin-Helmholtz instabilities with the MU radar
    Luce, H.
    Hassenpflug, G.
    Yamamoto, M.
    Crochet, M.
    Fukao, S.
    RADIO SCIENCE, 2007, 42 (01)
  • [44] High-Frequency Gravity Waves and Kelvin-Helmholtz Billows in the Tropical UTLS, as Seen From Radar Observations of Vertical Wind
    Kottayil, Ajil
    Podglajen, Aurelien
    Legras, Bernard
    Atlas, Rachel
    Prajwal, K.
    Satheesan, K.
    Abhilash, S.
    GEOPHYSICAL RESEARCH LETTERS, 2024, 51 (21)
  • [45] INVESTIGATION OF MONITORING FISH USING UNDERWATER FISH-EYE CAMERA AT THE TEST SITE OF MARINE RENEWABLE ENERGY
    Yoshida, Takero
    Kitazawa, Daisuke
    Mizukami, Yoichi
    Chen, Qiaochu
    Mochizuki, Akito
    PROCEEDINGS OF THE ASME 37TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING, 2018, VOL 6, 2018,
  • [46] Optimization Calibration of Fish-eye Camera and Its Research in 3D Reconstruction
    Zhang, Chunsen
    Yan, Lu
    MIPPR 2019: PATTERN RECOGNITION AND COMPUTER VISION, 2020, 11430
  • [47] Obtaining external parameters of an omnidirectional camera with a fish-eye lens using contour matching
    Hwang, Yongho
    Hong, Hyunki
    OPTICAL ENGINEERING, 2008, 47 (08)
  • [48] 3-D MEASUREMENT OF OBJECTS IN WATER USING FISH-EYE STEREO CAMERA
    Naruse, Tatsuya
    Kaneko, Toru
    Yamashita, Atsushi
    Asama, Hajime
    2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012), 2012, : 2773 - 2776
  • [49] A Real-Time Rear Obstacle Detection System Based On a Fish-Eye Camera
    Lin, Che-Tsung
    Lin, Yu-Chen
    Liu, Wei-Cheng
    Lin, Chi-Wei
    2012 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC), 2012,
  • [50] Smooth-optimal Adaptive Trajectory Tracking Using an Uncalibrated Fish-eye Camera
    Kang, Zhao-Bing
    Zou, Wei
    Zhu, Zheng
    Ma, Hong-Xuan
    INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING, 2020, 17 (02) : 267 - 278