Abstract
This study proposes a novel framework based on magnitude cumulant and surrogate analyses to reliably detect the presence of intermittency and estimate the intermittency coefficient from short-length coarse-resolution turbulent time series. Intermittency coefficients estimated from a large number of neutrally stratified atmospheric surface layer turbulent series from various field campaigns are shown to remarkably concur with well-known laboratory experimental results. In addition, surrogate-based hypothesis testing significantly reduces the likelihood of detecting a spurious nonzero intermittency coefficient from nonintermittent series. The discriminatory power of the proposed framework is promising for addressing the unresolved question of how atmospheric stability affects the intermittency properties of boundary layer turbulence.
| Original language | English (US) |
|---|---|
| Article number | 115102 |
| Journal | Physics of Fluids |
| Volume | 19 |
| Issue number | 11 |
| DOIs | |
| State | Published - Nov 2007 |
Bibliographical note
Funding Information:We would like to thank Gary Kunkel and Ivan Marusic for providing us with the hot-wire measurements taken at the SLTEST facility, Utah. We are also grateful to all the researchers who painstakingly collected data during the Davis field campaigns. This work was partially funded by the National Science Foundation (ANT-0538453) and the Texas Advanced Research Program (003644-0003-2006) grants awarded to S.B. E.F.-G. acknowledges support by NASA, under its Global Precipitation Mission (GPM) program, and by NSF via the National Center for Earth-surface Dynamics (NCED) under agreement EAR-0120914.