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This study focuses on the distribution of time scales and its relation to integral time scales in non-Gaussian turbulence within plant canopies. We introduce the idea of persistence usually used to describe nonequilibrium systems to the analysis of time series of turbulence as a simple approach to characterize the distribution of time scales. Analysis of turbulence data within and above a cornfield shows that the integral time scale is not adequate to characterize the duration of long events in non-Gaussian turbulence. Positive and negative events have different time scales as a consequence of the skewness of the velocity fluctuations. Sweeps (u′ > 0 and w′ < 0) are stronger and have shorter durations, and dominate the behavior of the integral time scale. At the same time, ejections (u′ < 0 and w′ > 0) tend to be much longer lived, and their signature (which is not clearly seen in the integral time scale) is clearly identified in the distributions of persistence time.
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Marcelo Chamecki (2013) studied this question.
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