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Seismological signatures of Biparjoy Cyclone recorded by GSNet stations in Gujarat, India.

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Title: Seismological signatures of Biparjoy Cyclone recorded by GSNet stations in Gujarat, India.
Authors: Pragnath, D1,2 (AUTHOR), Srijayanthi, G1 (AUTHOR) srijayanthi.india@gmail.com, Kumar, Santosh1 (AUTHOR), Chopra, Sumer1 (AUTHOR)
Source: Journal of Earth System Science. Sep2025, Vol. 134 Issue 3, p1-11. 11p.
Subjects: Tropical cyclones, Cyclone tracking, Seismology, Ground motion, Microseisms, Wave analysis
Geographic Terms: India, Arabian Sea, Gujarat (India)
Abstract: Seismic noise in the frequency band from approximately 0.003–1.0 Hz is primarily composed of three main components: the primary microseism, secondary microseisms, and the hum. These signals dominate the monthly averages of seismic noise. However, temporary additional signals in the same frequency band can occur, such as those generated by tropical cyclones in the ocean. In the present study, we investigate one such instance: Biparjoy, an extremely severe tropical cyclone that formed over the central-east Arabian Sea. We identified an increase in amplitude in a continuous seismic record from 6 June 2023 to 17 June 2023, during which ground displacements of up to 300 nm were observed. Furthermore, we extracted the path travelled by the cyclone using three-component waveform data, which closely matched the daily results published by the India Meteorological Department (IMD). These findings demonstrate the potential of using seismic data to monitor and track cyclone activity. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Earth System Science is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Seismological signatures of Biparjoy Cyclone recorded by GSNet stations in Gujarat, India.
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  Data: <searchLink fieldCode="AR" term="%22Pragnath%2C+D%22">Pragnath, D</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Srijayanthi%2C+G%22">Srijayanthi, G</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> srijayanthi.india@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Kumar%2C+Santosh%22">Kumar, Santosh</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chopra%2C+Sumer%22">Chopra, Sumer</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Earth+System+Science%22">Journal of Earth System Science</searchLink>. Sep2025, Vol. 134 Issue 3, p1-11. 11p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Tropical+cyclones%22">Tropical cyclones</searchLink><br /><searchLink fieldCode="DE" term="%22Cyclone+tracking%22">Cyclone tracking</searchLink><br /><searchLink fieldCode="DE" term="%22Seismology%22">Seismology</searchLink><br /><searchLink fieldCode="DE" term="%22Ground+motion%22">Ground motion</searchLink><br /><searchLink fieldCode="DE" term="%22Microseisms%22">Microseisms</searchLink><br /><searchLink fieldCode="DE" term="%22Wave+analysis%22">Wave analysis</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
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  Data: <searchLink fieldCode="DE" term="%22India%22">India</searchLink><br /><searchLink fieldCode="DE" term="%22Arabian+Sea%22">Arabian Sea</searchLink><br /><searchLink fieldCode="DE" term="%22Gujarat+%28India%29%22">Gujarat (India)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Seismic noise in the frequency band from approximately 0.003–1.0 Hz is primarily composed of three main components: the primary microseism, secondary microseisms, and the hum. These signals dominate the monthly averages of seismic noise. However, temporary additional signals in the same frequency band can occur, such as those generated by tropical cyclones in the ocean. In the present study, we investigate one such instance: Biparjoy, an extremely severe tropical cyclone that formed over the central-east Arabian Sea. We identified an increase in amplitude in a continuous seismic record from 6 June 2023 to 17 June 2023, during which ground displacements of up to 300 nm were observed. Furthermore, we extracted the path travelled by the cyclone using three-component waveform data, which closely matched the daily results published by the India Meteorological Department (IMD). These findings demonstrate the potential of using seismic data to monitor and track cyclone activity. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Earth System Science is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s12040-025-02605-2
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 11
        StartPage: 1
    Subjects:
      – SubjectFull: Tropical cyclones
        Type: general
      – SubjectFull: Cyclone tracking
        Type: general
      – SubjectFull: Seismology
        Type: general
      – SubjectFull: Ground motion
        Type: general
      – SubjectFull: Microseisms
        Type: general
      – SubjectFull: Wave analysis
        Type: general
      – SubjectFull: India
        Type: general
      – SubjectFull: Arabian Sea
        Type: general
      – SubjectFull: Gujarat (India)
        Type: general
    Titles:
      – TitleFull: Seismological signatures of Biparjoy Cyclone recorded by GSNet stations in Gujarat, India.
        Type: main
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            NameFull: Pragnath, D
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            NameFull: Srijayanthi, G
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            NameFull: Kumar, Santosh
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            – D: 01
              M: 09
              Text: Sep2025
              Type: published
              Y: 2025
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