Statistical Theories and Computational Approaches to Turbulence

With the recent rapid developments in computational capabilities, the computational approach is becoming a more powerful tool in the study of turbulence. Even with the largest supercomputers of the foreseeable future, however, development of adequate modeling techniques for at least some scales of motion will be necessary for practical computations of such vital concerns as weather forecasting and the prediction and control of global pollution. Understanding the nature of unresolved scales is crucial for modeling. For readers who are inclined toward the physical sciences, this book provides a general view of modeling based on statistical theories. Readers who are more oriented toward application will also be rewarded in finding a collection and appraisal of computational methods and models that are useful in both global-scale geophysical flows and complex engineering flows.