Data-driven derivation of the turbulent energy cascade generator
Fluid Dynamics
2007-05-23 v1 Condensed Matter
Abstract
Within the framework of random multiplicative energy cascade models of fully developed turbulence, expressions for two-point correlators and cumulants are derived, taking into account a proper conversion from an ultrametric to an Euclidean two-point distance. The comparison with two-point statistics of the surrogate energy dissipation, extracted from various wind tunnel and atmospheric boundary layer records, allows an accurate deduction of multiscaling exponents and cumulants. These exponents serve as the input for parametric estimates of the probabilistic cascade generator.
Cite
@article{arxiv.physics/0312113,
title = {Data-driven derivation of the turbulent energy cascade generator},
author = {J. Cleve and T. Dziekan and J. Schmiegel and O. E. Barndorff-Nielsen and B. R. Pearson and K. R. Sreenivasan and M. Greiner},
journal= {arXiv preprint arXiv:physics/0312113},
year = {2007}
}
Comments
15 pages, 6 figures