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Chaotic Climate Dynamics [Paperback]

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Item Number 267190  
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Item description for Chaotic Climate Dynamics by M. Selvam A....

Atmosphere is a chaotic system. As such it is inherently unpredictable. The book applies chaos theory to understand and predict climate systems. Author presents a cell dynamical system model for turbulent fluid flows. The model envisages the irregular space-time fluctuations of the atmospheric flow pattern generated as a consequence of the superimposition of a continuum of eddies. The natural space-time variability is quantified in terms of the universal inverse power-law form of the statistical normal distribution. A range of possible applications of the cell dynamical system model for weather and climate system is discussed. The book provides a comprehensive reference material for scientists and academicians working in the field of atmospheric sciences and related topics.

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Item Specifications...

Pages   156
Est. Packaging Dimensions:   Length: 8.8" Width: 6" Height: 0.5"
Weight:   0.5 lbs.
Binding  Softcover
Release Date   Aug 15, 2007
Publisher   Luniver Press
ISBN  1905986076  
ISBN13  9781905986071  

Availability  0 units.

More About M. Selvam A.

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Product Categories

1Books > Special Features > New & Used Textbooks > Sciences > Earth Sciences
2Books > Subjects > Outdoors & Nature > Environment > Weather
3Books > Subjects > Professional & Technical > Professional Science > Earth Sciences > Geophysics
4Books > Subjects > Science > Earth Sciences > Geophysics
5Books > Subjects > Science > Earth Sciences > Rivers
6Books > Subjects > Science > Mathematics > Pure Mathematics > Fractals

Reviews - What do customers think about Chaotic Climate Dynamics?

Quantum Funny Business is in the Air!  Apr 15, 2008
The author apparently attempts to patch her knowledge of quantum physics, gained as a solid state researcher, into her more recent career as a meteorologist. It doesn't work. Some statements are just flat out wrong, e.g the earth's atmospheric boundary is about 10 km thick (more like 1-2 km during the day and much, much smaller at night). There are some interesting comments about modeling but other than that it is not worth the read.

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