Physics – Geophysics
Scientific paper
Feb 2003
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003georl..30d..13k&link_type=abstract
Geophysical Research Letters, Volume 30, Issue 4, pp. 13-1, CiteID 1164, DOI 10.1029/2002GL015284
Physics
Geophysics
3
Mathematical Geophysics: Fractals And Multifractals, Meteorology And Atmospheric Dynamics: Numerical Modeling And Data Assimilation, Meteorology And Atmospheric Dynamics: Turbulence
Scientific paper
The conceptual framework for modeling the inertial subrange is strongly influenced by the Kolmogorov cascade phenomena, which is nowadays the subject of significant reinterpretation. It has been argued that the effects of boundary conditions influence large-scale motion and direct interaction between large and small scales is possible by means other than passing sequentially through the full cascade. Using longitudinal (u) and vertical (w) velocity and temperature (T) time series measurements collected in the atmospheric surface layer (ASL), we evaluate whether the inertial subrange multifractral function (f(α)) of all three flow variables is influenced by atmospheric stability (ξ), which is a bulk measure of the effect of boundary conditions on large scale flow properties for ASL turbulence. This study is the first to demonstrate that ξ significantly influences f(α) for all three flow variables. Here, statistical significance is evaluated using a novel wavelet-based Functional Analysis of Variance (FANOVA) approach that explicitly considers different classes of ξ, the flow variable type, and possible interactions between ξ and the three flow variables.
Albertson John D.
Amato Umberto
Angelini Claudia
de Canditiis Daniela
Katul Gabriel G.
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