IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-45412-x.html
   My bibliography  Save this article

Monitoring ocean currents during the passage of Typhoon Muifa using optical-fiber distributed acoustic sensing

Author

Listed:
  • Jianmin Lin

    (Zhejiang University
    Donghai Laboratory)

  • Sunke Fang

    (Zhejiang University)

  • Runjing He

    (Zhejiang University)

  • Qunshu Tang

    (Zhejiang University
    Donghai Laboratory)

  • Fengzhong Qu

    (Zhejiang University
    Donghai Laboratory)

  • Baoshan Wang

    (University of Science and Technology of China
    University of Science and Technology of China)

  • Wen Xu

    (Zhejiang University
    Donghai Laboratory)

Abstract

In situ observations under typhoon conditions are sparse and limited. Distributed acoustic sensing (DAS) is an emerging technology that uses submarine optical-fiber (OF) cables to monitor the sea state. Here, we present DAS-based ocean current observations when a super typhoon passed overhead. The microseismic noise induced by ocean surface gravity waves (OSGWs) during Typhoon Muifa (2022) is observed in the ~0.08–0.38 Hz frequency band, with high-frequency (>0.3 Hz) component being tidally modulated. The OSGW propagation along the entire cable is successfully revealed via frequency–wavenumber analysis. Further, a method based on the current-induced Doppler shifts of DAS-recorded OSGW dispersions is proposed to calculate both speeds and directions of horizontal ocean currents. The measured current is consistent with the tidally induced sea-level fluctuations and sea-surface winds observed at a nearby ocean buoy. These observations demonstrate the feasibility of monitoring the ocean current under typhoon conditions using DAS-instrumented cables.

Suggested Citation

  • Jianmin Lin & Sunke Fang & Runjing He & Qunshu Tang & Fengzhong Qu & Baoshan Wang & Wen Xu, 2024. "Monitoring ocean currents during the passage of Typhoon Muifa using optical-fiber distributed acoustic sensing," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-45412-x
    DOI: 10.1038/s41467-024-45412-x
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-45412-x
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-024-45412-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ethan F. Williams & María R. Fernández-Ruiz & Regina Magalhaes & Roel Vanthillo & Zhongwen Zhan & Miguel González-Herráez & Hugo F. Martins, 2019. "Distributed sensing of microseisms and teleseisms with submarine dark fibers," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
    2. I. Grevemeyer & R. Herber & H.-H. Essen, 2000. "Microseismological evidence for a changing wave climate in the northeast Atlantic Ocean," Nature, Nature, vol. 408(6810), pages 349-352, November.
    3. Guihua Wang & Lingwei Wu & Wei Mei & Shang-Ping Xie, 2022. "Ocean currents show global intensification of weak tropical cyclones," Nature, Nature, vol. 611(7936), pages 496-500, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Harrison, Gareth P. & Wallace, A. Robin, 2005. "Climate sensitivity of marine energy," Renewable Energy, Elsevier, vol. 30(12), pages 1801-1817.
    2. Adem Akpınar & Bilal Bingölbali, 2016. "Long-term variations of wind and wave conditions in the coastal regions of the Black Sea," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 69-92, October.
    3. Mackay, Edward B.L. & Bahaj, AbuBakr S. & Challenor, Peter G., 2010. "Uncertainty in wave energy resource assessment. Part 2: Variability and predictability," Renewable Energy, Elsevier, vol. 35(8), pages 1809-1819.
    4. Weiqiang Zhu & Ettore Biondi & Jiaxuan Li & Jiuxun Yin & Zachary E. Ross & Zhongwen Zhan, 2023. "Seismic arrival-time picking on distributed acoustic sensing data using semi-supervised learning," Nature Communications, Nature, vol. 14(1), pages 1-11, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-45412-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.