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    Scaling behavior of global mean sea surface temperature anomalies

    Access Status
    Fulltext not available
    Authors
    Luo, M.
    Leung, Yee-Hong
    Zhou, Y.
    Zhang, W.
    Ge, E.
    Date
    2012
    Type
    Conference Paper
    
    Metadata
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    Citation
    Luo, M. and Leung, Y. and Zhou, Y. and Zhang, W. and Ge, E. 2012. Scaling behavior of global mean sea surface temperature anomalies, pp. 220-226.
    Source Title
    33rd Asian Conference on Remote Sensing 2012, ACRS 2012
    ISBN
    9781622769742
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/57049
    Collection
    • Curtin Research Publications
    Abstract

    Scaling behavior of the monthly global mean sea surface temperature (SST) anomalies from Kaplan SST V2 data are studied by multifractal detrended fluctuation analysis (MF-DFA) method. A crossover at time scale of 38 months (˜3.2 years) is identified to separate distinct regimes: small-scale and large-scale, indicating different patterns of scaling behaviors at different timescales. The scaling exponent h(2)=1.42 at the small-scale (e.g., < 3.2 years), indicating the time series of SSTA is non-stationary and slightly anti-persistent, which may due to the El Nino/La Niña-Southern Oscillation (ENSO). At the large-scale (e.g., > 3.2 years), h(2)=0.89, showing it is stationary and persistent. This property maybe related to the Pacific Decadal Oscillation (PDO). At the same time, the monthly global mean SSTA shows multifractality with the curves of h(q), t(q) and D(q) depending on the values of q.

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