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Amujuri Mary Selvam - Selforganised Criticality and Predictability in Atmospheric Flows - 9783319545455 - V9783319545455
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Selforganised Criticality and Predictability in Atmospheric Flows

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Description for Selforganised Criticality and Predictability in Atmospheric Flows Paperback. Series: Springer Atmospheric Sciences. Num Pages: biography. BIC Classification: RB. Category: (P) Professional & Vocational. Dimension: 235 x 155. .

This book presents a new concept of General Systems Theory and its application to atmospheric physics. It reveals that energy input into the atmospheric eddy continuum, whether natural or manmade, results in enhancement of fluctuations of all scales, manifested immediately in the intensification of high-frequency fluctuations such as the Quasi-Biennial Oscillation and the El-Nino–Southern Oscillation cycles. Atmospheric flows exhibit self-organised criticality, i.e. long-range correlations in space and time manifested as fractal geometry to the spatial pattern concomitant with an inverse power law form for fluctuations of meteorological parameters such as temperature, pressure etc. Traditional meteorological theory cannot satisfactorily explain the ... Read more

The general systems theory model predicts an inverse power law form incorporating the golden mean τ for the distribution of space-time fluctuation patterns and for the power (variance) spectra of the fluctuations. Since the probability distributions of amplitude and variance are the same, atmospheric flows exhibit quantumlike chaos. Long-range correlations inherent to power law distributions of fluctuations are identified as nonlocal connection or entanglement exhibited by quantum systems such as electrons or photons. The predicted distribution is close to the Gaussian distribution for small-scale fluctuations, but exhibits a fat long tail for large-scale fluctuations. Universal inverse power law for fractal fluctuations rules out unambiguously linear secular trends in climate parameters.

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Product Details

Format
Paperback
Publication date
2017
Publisher
Springer International Publishing AG Switzerland
Condition
New
Series
Springer Atmospheric Sciences
Number of Pages
139
Place of Publication
Cham, Switzerland
ISBN
9783319545455
SKU
V9783319545455
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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