Scaling laws of diffusion and time intermittency generated by coherent structures in atmospheric turbulence

被引:17
|
作者
Paradisi, P. [1 ]
Cesari, R. [2 ]
Donateo, A. [2 ]
Contini, D. [2 ]
Allegrini, P. [3 ,4 ]
机构
[1] Ist Sci & Tecnol Informaz A Faedo ISTI CNR, I-56124 Pisa, Italy
[2] Ist Sci Atmosfera & Clima, Lecce Unit, I-73100 Lecce, Italy
[3] Ist Fisiol Clin IFC CNR, I-56124 Pisa, Italy
[4] Scuola Super Sant Anna, Ctr EXTREME, I-56127 Pisa, Italy
关键词
FRACTIONAL DIFFUSION; ANOMALOUS DIFFUSION; RENEWAL PROCESSES; SURFACE-RENEWAL; RANDOM-WALKS; FICKS LAW; MODULATION; FLUCTUATIONS; EVENTS; MEMORY;
D O I
10.5194/npg-19-113-2012
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
We investigate the time intermittency of turbulent transport associated with the birth-death of self-organized coherent structures in the atmospheric boundary layer. We apply a threshold analysis on the increments of turbulent fluctuations to extract sequences of rapid acceleration events, which is a marker of the transition between self-organized structures. The inter-event time distributions show a power-law decay psi(tau) similar to 1/tau(mu), with a strong dependence of the power-law index mu on the threshold. A recently developed method based on the application of event-driven walking rules to generate different diffusion processes is applied to the experimental event sequences. At variance with the power-law index mu estimated from the inter-event time distributions, the diffusion scaling H, defined by < X-2 > similar to t(2H), is independent from the threshold. From the analysis of the diffusion scaling it can also be inferred the presence of different kind of events, i.e. genuinely transition events and spurious events, which all contribute to the diffusion process but over different time scales. The great advantage of event-driven diffusion lies in the ability of separating different regimes of the scaling H. In fact, the greatest H, corresponding to the most anomalous diffusion process, emerges in the long time range, whereas the smallest H can be seen in the short time range if the time resolution of the data is sufficiently accurate. The estimated diffusion scaling is also robust under the change of the definition of turbulent fluctuations and, under the assumption of statistically independent events, it corresponds to a self-similar point process with a well-defined power-law index mu(D) similar to 2.1, where D denotes that mu(D) is derived from the diffusion scaling. We argue that this renewal point process can be associated to birth and death of coherent structures and to turbulent transport near the ground, where the contribution of turbulent coherent structures becomes dominant.
引用
收藏
页码:113 / 126
页数:14
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