IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-36514-z.html
   My bibliography  Save this article

Next-generation seismic model of the Australian crust from synchronous and asynchronous ambient noise imaging

Author

Listed:
  • Yunfeng Chen

    (Zhejiang University
    CSIRO)

  • Erdinc Saygin

    (CSIRO)

  • Brian Kennett

    (Australian National University)

  • Mehdi Tork Qashqai

    (CSIRO)

  • Juerg Hauser

    (CSIRO)

  • David Lumley

    (University of Texas at Dallas)

  • Mike Sandiford

    (University of Melbourne)

Abstract

The proliferation of seismic networks in Australia has laid the groundwork for high-resolution probing of the continental crust. Here we develop an updated 3D shear-velocity model using a large dataset containing nearly 30 years of seismic recordings from over 1600 stations. A recently-developed ambient noise imaging workflow enables improved data analysis by integrating asynchronous arrays across the continent. This model reveals fine-scale crustal structures at a lateral resolution of approximately 1-degree in most parts of the continent, highlighted by 1) shallow low velocities (

Suggested Citation

  • Yunfeng Chen & Erdinc Saygin & Brian Kennett & Mehdi Tork Qashqai & Juerg Hauser & David Lumley & Mike Sandiford, 2023. "Next-generation seismic model of the Australian crust from synchronous and asynchronous ambient noise imaging," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-36514-z
    DOI: 10.1038/s41467-023-36514-z
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-36514-z
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-023-36514-z?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
    ---><---

    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:14:y:2023:i:1:d:10.1038_s41467-023-36514-z. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.