skip to main content
10.1145/3575882.3575948acmotherconferencesArticle/Chapter ViewAbstractPublication Pagesic3inaConference Proceedingsconference-collections
research-article

Analysis of H-Component of Geomagnetic Variation in Indonesian Region

Authors Info & Claims
Published:27 February 2023Publication History

ABSTRACT

This paper analyzed geomagnetic variation of H-component from several geomagnetic stations in Indonesia, that are Kototabang (KTB), Pontianak (PTN), Tanjungsari (TJS), Pare-pare (PRP), Manado (MND), Kupang (KPG), and Pamengpeuk (PMK) during 2014. The study aims to analyze and obtain data set that are suitable for PTN geomagnetic data so that they can fill in the data gaps of PTN. We performed data analysis using standard deviation for PTN and other stations. We found that KPG, MND, PMK, and PRP have smaller deviation standard about 10 nT at geomagnetically quiet conditions. Meanwhile, in disturbed conditions, the maximum standard deviation is 17 nT. Substitution of data for geomagnetic quiet conditions should be done with caution and requires further analysis. The substitution of data for disturbed conditions can be done safely because the maximum standard deviation is smaller than the range of disturbance conversion into K index.

References

  1. J. Bartels, N. H. Heck, and H. F. Johnston. 1939. Journal of Geophysical Research, Vol. 44 (4), 411-454.Google ScholarGoogle Scholar
  2. J. Bartels. 2013. Geomagnetism, Annals of The International Geophysical Year. Vol. 4, 215-226.Google ScholarGoogle Scholar
  3. J. Bartels. 2013. Geomagnetism, Annals of The International Geophysical Year. Vol. 4, 227-236.Google ScholarGoogle Scholar
  4. W.H. Campbell. 1997. Introduction to geomagnetic fields. Cambridge University Press.Google ScholarGoogle Scholar
  5. W. H. Campbell. 2004. Space Weather, Vol 2, S08002.Google ScholarGoogle Scholar
  6. E.K. Fry. 2012. Space Policy, Vol. 28 (3), 180-184Google ScholarGoogle Scholar
  7. J. Hwang, H.P. Kim, Y.D. Park. 2013. Journal of Astronomy and Space Science, Vol. 30 (3), 169-174.Google ScholarGoogle Scholar
  8. J. Matzka, C. Stolle, Y. Yamazaki, O. Bronkalla, and A. Morschhauser. 2021. Space Weather, Vol. 19, e2020SW002641.Google ScholarGoogle Scholar
  9. M. Moldwin. 2008. An Introduction to Space Weather. Cambridge University Press.Google ScholarGoogle Scholar
  10. R. Schwenn. 2006. Living Reviews in Solar Physics, Vol. 3, 2.Google ScholarGoogle Scholar
  11. A.K. Singh, A. Bhargawa, D. Siingh, and R.P. Singh. 2021. Geosciences, Vol. 11, 286.Google ScholarGoogle Scholar
  12. Y. Yamazaki and A. Maute. 2017. Space Science, Reviews Vol. 206, 299–405.Google ScholarGoogle Scholar
  13. W. Younas, C. Amory-Mazaudier, M. Khan, and R. Fleury. 2020. Journal of Geophysical Research Space Physics, Vol. 125 (8), e2020JA027981.Google ScholarGoogle Scholar
  14. K. Yumoto and the 210MM Magnetic Observation Group. 1996. Journal of Geomagnetism & Geoelectricity, Vol. 48, 1297-1310.Google ScholarGoogle Scholar
  15. K. Yumoto and the MAGDAS Group. 2006. MAGDAS project and its application for space weather in Solar Influence on the Heliosphere and Earth's Environment: Recent Progress and Prospects. edited by N. Gopalswamy and A. Bhattacharyya, Proceedings of the ILWS Workshop Goa, India, February 19-24, 309-405.Google ScholarGoogle Scholar
  16. K. Yumoto and the MAGDAS Group. 2007. Bulletin of Astronomical Society of India, Vol. 35, 511-522.Google ScholarGoogle Scholar
  17. L. M. Musafar, Setyanto C.P., Cucu Eman H., 2021, Technical Reports, System development of geomagnetic information for Swifts.Google ScholarGoogle Scholar

Index Terms

  1. Analysis of H-Component of Geomagnetic Variation in Indonesian Region

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      IC3INA '22: Proceedings of the 2022 International Conference on Computer, Control, Informatics and Its Applications
      November 2022
      415 pages
      ISBN:9781450397902
      DOI:10.1145/3575882

      Copyright © 2022 ACM

      © 2022 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 27 February 2023

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article
      • Research
      • Refereed limited
    • Article Metrics

      • Downloads (Last 12 months)18
      • Downloads (Last 6 weeks)1

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format .

    View HTML Format