IDEAS home Printed from https://ideas.repec.org/a/wsi/ijmpcx/v31y2020i08ns012918312050117x.html
   My bibliography  Save this article

Model discrepancy of Earth polar motion using topological data analysis and convolutional neural network analysis

Author

Listed:
  • Dongjin Lee

    (Department of Mathematics, Ajou University, Suwon, Korea†Department of AI and Data Science, Ajou University, Suwon, Korea)

  • Christopher Bresten

    (#x2020;Department of AI and Data Science, Ajou University, Suwon, Korea)

  • Kookhyoun Youm

    (#x2021;Earth Science Education, Seoul National University, Seoul, Korea)

  • Ki-Weon Seo

    (#x2021;Earth Science Education, Seoul National University, Seoul, Korea)

  • Jae-Hun Jung

    (#x2020;Department of AI and Data Science, Ajou University, Suwon, Korea§Department of Mathematics, State University of New York at Buffalo, Buffalo, New York, 14260-2900, USA)

Abstract

An accurate analysis of the polar motion variation is essential to understand the global change of the environment and predict useful information about short-term and long-term change in climate. Observation of polar motion excitation using multiple measurements including Very-Long-Baseline-Interferometry (VLBI) provides highly accurate measurement of polar motion variation. The observed polar motion excitation has been modeled with multiple geophysical models, but the discrepancies between observations and models still exist. In this paper, we propose two approaches for detecting the discrepancy of the polar motion excitation: topological data analysis (TDA) and convolutional neural network (CNN) analysis. Our methods clearly show that the observed polar motion has a different topological structure from the model data, and there are time periods that the model fails to represent the polar motion. Numerical results indicate that the proposed methods show promise for applications to polar motion signal analysis.

Suggested Citation

  • Dongjin Lee & Christopher Bresten & Kookhyoun Youm & Ki-Weon Seo & Jae-Hun Jung, 2020. "Model discrepancy of Earth polar motion using topological data analysis and convolutional neural network analysis," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 31(08), pages 1-19, August.
    • Handle: RePEc:wsi:ijmpcx:v:31:y:2020:i:08:n:s012918312050117x
    DOI: 10.1142/S012918312050117X
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S012918312050117X
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S012918312050117X?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:wsi:ijmpcx:v:31:y:2020:i:08:n:s012918312050117x. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijmpc/ijmpc.shtml .

    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.