American Journal of Modern Physics

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Analysis of Sunspot Time Series During the Ascending Phase of Solar Cycle 24 Using the Wavelet Transform

Received: 06 July 2016    Accepted: 18 July 2016    Published: 17 August 2016
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Abstract

The sunspots are widely used to measure the rotational rate of solar surface. We are interested in analysis of the temporal evaluation of the short-term period present in sunspot time series (i.e. sunspot number and area) during the ascending phase of Solar Cycle 24. For the better understanding of variation in solar activity originated at different layers of the solar atmosphere with respect to sunspot cycles, we study the phase relation between sunspot numbers and sunspot areas using cross correlation analysis techniques based on extended wavelet based approaches such as continuous wavelet transform, cross-wavelet transform, and wavelet coherence. In this study we found the short-term periodicity “27 days-rotational rate of Sun” for current solar cycle 24 (January2008-May2013), which suggested that the Solar Cycle24 has minimum solar activity. We have also investigated the correlation between both parameters and identify the unusual conditions in space weather.

DOI 10.11648/j.ajmp.20160505.11
Published in American Journal of Modern Physics (Volume 5, Issue 5, September 2016)
Page(s) 79-86
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Sunspots, Rotational Rate of Sun, Solar Cycle, Solar Activity, Wavelet Analysis

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Author Information
  • Space Science Research Laboratory, Department of Physics and Electronics, Barkatullah University, Bhopal, India

  • Department of Physics, LNCT Group of Colleges, Bhopal, India

  • Space Science Research Laboratory, Department of Physics and Electronics, Barkatullah University, Bhopal, India

Cite This Article
  • APA Style

    Satish Kumar Kasde, Deepak Kumar Sondhiya, Ashok Kumar Gwal. (2016). Analysis of Sunspot Time Series During the Ascending Phase of Solar Cycle 24 Using the Wavelet Transform. American Journal of Modern Physics, 5(5), 79-86. https://doi.org/10.11648/j.ajmp.20160505.11

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    ACS Style

    Satish Kumar Kasde; Deepak Kumar Sondhiya; Ashok Kumar Gwal. Analysis of Sunspot Time Series During the Ascending Phase of Solar Cycle 24 Using the Wavelet Transform. Am. J. Mod. Phys. 2016, 5(5), 79-86. doi: 10.11648/j.ajmp.20160505.11

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    AMA Style

    Satish Kumar Kasde, Deepak Kumar Sondhiya, Ashok Kumar Gwal. Analysis of Sunspot Time Series During the Ascending Phase of Solar Cycle 24 Using the Wavelet Transform. Am J Mod Phys. 2016;5(5):79-86. doi: 10.11648/j.ajmp.20160505.11

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  • @article{10.11648/j.ajmp.20160505.11,
      author = {Satish Kumar Kasde and Deepak Kumar Sondhiya and Ashok Kumar Gwal},
      title = {Analysis of Sunspot Time Series During the Ascending Phase of Solar Cycle 24 Using the Wavelet Transform},
      journal = {American Journal of Modern Physics},
      volume = {5},
      number = {5},
      pages = {79-86},
      doi = {10.11648/j.ajmp.20160505.11},
      url = {https://doi.org/10.11648/j.ajmp.20160505.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajmp.20160505.11},
      abstract = {The sunspots are widely used to measure the rotational rate of solar surface. We are interested in analysis of the temporal evaluation of the short-term period present in sunspot time series (i.e. sunspot number and area) during the ascending phase of Solar Cycle 24. For the better understanding of variation in solar activity originated at different layers of the solar atmosphere with respect to sunspot cycles, we study the phase relation between sunspot numbers and sunspot areas using cross correlation analysis techniques based on extended wavelet based approaches such as continuous wavelet transform, cross-wavelet transform, and wavelet coherence. In this study we found the short-term periodicity “27 days-rotational rate of Sun” for current solar cycle 24 (January2008-May2013), which suggested that the Solar Cycle24 has minimum solar activity. We have also investigated the correlation between both parameters and identify the unusual conditions in space weather.},
     year = {2016}
    }
    

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    T1  - Analysis of Sunspot Time Series During the Ascending Phase of Solar Cycle 24 Using the Wavelet Transform
    AU  - Satish Kumar Kasde
    AU  - Deepak Kumar Sondhiya
    AU  - Ashok Kumar Gwal
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    DO  - 10.11648/j.ajmp.20160505.11
    T2  - American Journal of Modern Physics
    JF  - American Journal of Modern Physics
    JO  - American Journal of Modern Physics
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    EP  - 86
    PB  - Science Publishing Group
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    UR  - https://doi.org/10.11648/j.ajmp.20160505.11
    AB  - The sunspots are widely used to measure the rotational rate of solar surface. We are interested in analysis of the temporal evaluation of the short-term period present in sunspot time series (i.e. sunspot number and area) during the ascending phase of Solar Cycle 24. For the better understanding of variation in solar activity originated at different layers of the solar atmosphere with respect to sunspot cycles, we study the phase relation between sunspot numbers and sunspot areas using cross correlation analysis techniques based on extended wavelet based approaches such as continuous wavelet transform, cross-wavelet transform, and wavelet coherence. In this study we found the short-term periodicity “27 days-rotational rate of Sun” for current solar cycle 24 (January2008-May2013), which suggested that the Solar Cycle24 has minimum solar activity. We have also investigated the correlation between both parameters and identify the unusual conditions in space weather.
    VL  - 5
    IS  - 5
    ER  - 

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