Dynamic Scaling in Rotating Turbulence: A Shell Model Study
Shailendra K. Rathor, Sagar Chakraborty, and Samriddhi Sankar Ray

TL;DR
This paper studies the dynamic scaling behavior of rotating turbulence using a shell model, deriving and validating relations between dynamic and equal-time exponents through multifractal formalism and numerical simulations.
Contribution
It provides the first detailed theoretical and numerical analysis of dynamic exponents in rotating turbulence, linking them to equal-time exponents via multifractal formalism.
Findings
Derived relations between dynamic and equal-time exponents.
Validated theoretical predictions with extensive numerical simulations.
Enhanced understanding of time-scale behavior in rotating turbulent flows.
Abstract
We investigate the scaling form of appropriate time-scales extracted from time-dependent correlation functions in rotating, turbulent flows. In particular, we obtain precise estimates of the dynamic exponents , associated with the time-scales, and their relation with the more commonly measured equal-time exponents . These theoretical predictions, obtained by using the multifractal formalism, are validated through extensive numerical simulations of a shell model for such rotating flows.
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Financial Risk and Volatility Modeling · Chaos control and synchronization
