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Dynamical behaviors of multifractal strengths in meteorological factors

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Abstract

In this paper, we study the multifractal properties of cloud observation time-series data in Daegwanryung, Korea, containing two meteorological factors, the effective radius of a cloud droplet and the average particle size of a raindrop. We simulate and analyze the generalized Hurst exponent, the Renyi exponent, the spectrum, and the multifractal strength by using the multifractal detrended fluctuation analysis method. The result obtained may have a useful and effective influences on determining the observation location.

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Authors and Affiliations

  1. National Research Center for Disaster-free & Safe Ocean City, Dong-A University, Busan, 49315, Korea

    Cheol-Hwan You

  2. National Institute of Meteorological Research, Korea Meteorological Administration, Seogwipo, 63278, Korea

    Seong Kyu Seo, Ki-Ho Chang & Jin-Yim Jeong

  3. Dongnyuk Company, Seoul, 05836, Korea

    Sungjoon Na

  4. Department of Environmental Atmospheric Sciences and Department of Physics, Pukyong National University, Busan, 48513, Korea

    Kyungsik Kim

Authors
  1. Cheol-Hwan You
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  2. Seong Kyu Seo
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  3. Ki-Ho Chang
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  4. Jin-Yim Jeong
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  5. Sungjoon Na
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  6. Kyungsik Kim
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Correspondence to Ki-Ho Chang.

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You, CH., Seo, S.K., Chang, KH. et al. Dynamical behaviors of multifractal strengths in meteorological factors. Journal of the Korean Physical Society 70, 325–329 (2017). https://doi.org/10.3938/jkps.70.325

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  • DOI: https://doi.org/10.3938/jkps.70.325

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