Real-Time Capability of Meteotsunami Detection by WERA Ocean Radar System

被引:0
|
作者
Dzvonkovskaya, Anna [1 ]
Petersen, Leif [1 ]
Insua, Tania L. [2 ]
机构
[1] Helzel Messtech GmbH, Kaltenkirchen, Germany
[2] Univ Victoria, Ocean Networks Canada, Victoria, BC, Canada
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
High-frequency (HF) ocean radar systems have demonstrated their capability to capture the signal from tsunami currents after the 2011 Tohoku earthquake and tsunami. However, these systems were configured for mapping surface currents in the coastal zones and not for detecting specific patterns of tsunami waves in real-time. The WERA (R) ocean radar system was optimized for tsunami alerting and installed for real-time tsunami monitoring at the coast of Tofino, British Columbia, Canada. If the shelf extends tens of kilometers off the coast then the first appearance of tsunami waves can be monitored early enough to issue an alert message. On 14 October 2016, the WERA system detected strong changes in measured radial currents at distances up to 60 km off the coast and triggered an alert immediately. The system tracked the unusual current pattern in real-time following the wave propagation coincided with an atmospheric cold frontal passage. No earthquake occurred at that time but strong storm currents caused most likely by remnants of typhoon Songda were the most likely reason for the detection. This localized event seems to be the combination of the strong currents caused by the typhoon, the storm surge, and a large wave that could be classified as a meteorological tsunami (meteotsunami). This detection showed the capability of the radar to measure unusual surface current velocities induced by tsunami waves. The real-time detection and alerting on this tsunami-like current have shown a good applicability of HF phased-array radar technology for offshore tsunami monitoring and navigation safety.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] Real-time Detection of Dynamic Obstacle Using Laser Radar
    Chen, Baifan
    Cai, Zixing
    Xiao, Zheng
    Yu, Jinxia
    Liu, Limei
    PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE FOR YOUNG COMPUTER SCIENTISTS, VOLS 1-5, 2008, : 1728 - +
  • [32] Radar and vision fusion for the real-time obstacle detection and identification
    Zhang, Xinyu
    Zhou, Mo
    Qiu, Peng
    Huang, Yi
    Li, Jun
    INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION, 2019, 46 (03): : 391 - 395
  • [33] REAL-TIME ESTIMATION OF OCEAN WAVE FIELDS FROM MARINE RADAR DATA
    Lyzenga, David R.
    Nwogu, Okey G.
    Beck, Robert F.
    O'Brien, Andrew
    Johnson, Joel
    de Paolo, Tony
    Terrill, Eric
    2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 3622 - 3625
  • [34] Real-Time Processing Algorithm for Wide Swath Radar Interferometry of Ocean Surface
    Simard, Marc
    Rodriguez, Ernesto
    2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, 2006, : 2538 - 2541
  • [35] Design and Realization of real-time detection system for ship borne radar's rate gyros
    Li, Cheng
    Li, San-Wen
    Nie, Yong-Ming
    Liu, Hui-Feng
    2015 FIFTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION AND MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC), 2015, : 895 - 900
  • [36] FPGA-Based Real-Time Road Object Detection System Using mmWave Radar
    Mohan, Anand
    Meena, Hemant Kumar
    Wajid, Mohd
    Srivastava, Abhishek
    IEEE SENSORS LETTERS, 2025, 9 (04)
  • [37] Real-Time UAV and Payload Detection and Classification System Using Radar and Camera Sensor Fusion
    Mehta, Varun
    Azad, Hamid
    Dadboud, Fardad
    Bolic, Miodrag
    Mantegh, Iraj
    2023 IEEE/AIAA 42ND DIGITAL AVIONICS SYSTEMS CONFERENCE, DASC, 2023,
  • [38] Real-Time Buried Threat Detection and Cueing Capability in VPEF Environment
    Ling, Bo
    Agarwal, Sanjeev
    Olivera, Santiago
    Vasilkoski, Zlatko
    Phan, Chung
    Geyer, Chris
    DETECTION AND SENSING OF MINES, EXPLOSIVE OBJECTS, AND OBSCURED TARGETS XX, 2015, 9454
  • [39] REAL-TIME CAPABILITY OF DLR'S BEAMFORMING SYNTHETIC APERTURE RADAR PROCESSING ARCHITECTURE
    Schlemon, Maron
    Schulz, Martin
    Scheiber, Rolf
    Jaeger, Marc
    Oliva, Joel Amao
    2024 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING WORKSHOPS, ICASSPW 2024, 2024, : 814 - 817
  • [40] THE REDICAL - AN ONLINE REAL-TIME MONITORING-SYSTEM FOR RADAR
    EDDY, FN
    DAWSON, BA
    RUNKLE, J
    MICROWAVE JOURNAL, 1984, 27 (03) : 93 - &