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Effect of Trends on Detrended Fluctuation Analysis of Precipitation Series

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  • Jianhai Yue
  • Xiaojun Zhao
  • Pengjian Shang

Abstract

We use detrended fluctuation analysis (DFA) method to detect the long-range correlation and scaling properties of daily precipitation series of Beijing from 1973 to 2004 before and after adding diverse trends to the original series. The correlation and scaling properties of the original series are difficult to analyze due to existing crossovers. The effects of the coefficient and the power of the added trends on the scaling exponents and crossovers of the series are tested. A crossover is found to be independent of the added trends, which arises from the intrinsic periodic trend of the precipitation series. However, another crossover caused by the multifractal vanishes with the increasing power of added trends.

Suggested Citation

  • Jianhai Yue & Xiaojun Zhao & Pengjian Shang, 2010. "Effect of Trends on Detrended Fluctuation Analysis of Precipitation Series," Mathematical Problems in Engineering, Hindawi, vol. 2010, pages 1-15, June.
    • Handle: RePEc:hin:jnlmpe:749894
    DOI: 10.1155/2010/749894
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    Cited by:

    1. Sierra-Porta, D. & Domínguez-Monterroza, Andy-Rafael, 2022. "Linking cosmic ray intensities to cutoff rigidity through multifractal detrented fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).

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