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Statistical Theories and Computational Approaches to Turbulence - Modern Perspectives and Applications to Global-Scale Flows (Paperback, Softcover reprint of the original 1st ed. 2003)
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Statistical Theories and Computational Approaches to Turbulence - Modern Perspectives and Applications to Global-Scale Flows (Paperback, Softcover reprint of the original 1st ed. 2003)
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This volume contains the papers presented at the workshop on
Statistical The ories and Computational Approaches to Turbulence:
Modern Perspectives and Applications to Global-Scale Flows, held
October 10-13, 2001, at Nagoya Uni versity, Nagoya, Japan. Because
of recent developments in computational capabilities, the compu
tational approach is showing the potential to resolve a much wider
range of length and time scales in turbulent physical systems.
Nevertheless, even with the largest supercomputers of the
foreseeable future, development of adequate modeling techniques for
at least some scales of motion will be necessary for practical
computations of important problems such as weather forecasting and
the prediction and control of global pollution. The more powerful
the available machines become, the more demand there will be for
precise prediction of the systems. This means that more precise and
reliable knowledge of the underlying dynamics will become
important, and that more efficient and precise numerical methods
best adapted to the new generation of computers will be necessary.
The understanding of the nature of unresolved scales then will
playa key role in the modeling of turbulent motion. The challenge
to turbulence theory here is to elucidate the physics or dynamics
of those scales, in particular their sta tistical aspects, and
thereby develop models on sound bases to reduce modeling ambiguity.
The challenge to the computational method is to develop efficient
algorithms suitable for the problems, the machines, and the
developed models.
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