Experimental evidence of a phase transition in the multifractal spectra of turbulent temperature fluctuations at a forest canopy top

Dupont, Sylvain; Argoul, Françoise; Gerasimova-Chechkina, Evgeniya; Irvine, Mark; Arnéodo, A.

doi:10.1017/jfm.2020.348

Cited by 9 publications

(6 citation statements)

References 74 publications

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“…2008; Dupont et al. 2020). As mentioned previously, the p.d.f.s of the field increments are a quantitative measure of the small-scale intermittency.…”

Section: Methodsmentioning

confidence: 99%

“…To evaluate the multifield increments in dust storms, we use a real-valued Morlet wavelet ψ 0 (t) = π −1/4 e −t 2 /2 cos(6t) hereafter, as done in previous studies (e.g. Bacry et al 1991;Alexandrova et al 2008;Dupont et al 2020). As mentioned previously, the p.d.f.s of the field increments are a quantitative measure of the small-scale intermittency.…”

Section: Wavelet Analysis Of Small-scale Intermittencymentioning

confidence: 99%

“…Camussi & Guj 1997;Chowdhuri et al 2021), the wavelet coefficients of modulus larger than a certain threshold were used to exclude the coherent components of the measured data series. Compared with traditional methods, the main advantage of wavelet analysis is that it can very effectively identify intermittent events and detect singularities in turbulent flows (Farge 1992;Farge et al 1996;Torrence & Compo 1998;Dupont et al 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Sreenivasan & Kailasnath 1993; Stolovitzky, Sreenivasan & Juneja 1993; Liu, Hu & Cheng 2011; Dupont et al. 2020; Gauding et al. 2021).…”

Section: Introductionmentioning

confidence: 99%

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Multifield intermittency of dust storm turbulence in the atmospheric surface layer

2023

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Dust storms are typical dispersed two-phase atmospheric turbulence involving electrified charged dust particles. Previous observations have demonstrated that clean-air atmospheric turbulence is strongly intermittent. However, the intermittency of the wind velocity, concentration of dust particles with a diameter smaller than $10\ \mathrm {\mu }{\rm m}$ (PM10) and electric fields, known as multifield intermittency, has not been reported or characterized yet. Here, we quantify the small-scale multifield intermittency of dust storms using datasets obtained from the Qingtu Lake Observation Array and a wavelet-based data analysis technique. The results indicate that the probability density functions of the multifield increments are scale dependent, and the scaling exponents of the multifield structure functions exhibit anomalous scaling, suggesting that the multiple fields in dust storms are also highly intermittent. Specifically, the wind velocity during dust storms appears to be more intermittent as compared with clean-air conditions. Among the multiple fields, the small-scale intermittency is strongest for PM10 dust concentration, moderate for electric fields and weakest for wind velocity. Furthermore, the anomalous scaling of multiple fields is well described by the hierarchical structure theory of turbulence. It is theoretically predicted that the wind velocity displays a one-dimensional filamentary structure, while the PM10 dust concentration and electric fields display two-dimensional sheet-like structures. Finally, after removing the coherent components of the observed time series by the proposed wavelet conditioning statistics, Kolmogorov linear scaling is recovered for the multiple fields, suggesting that small-scale multifield intermittency is caused by the presence of small-scale coherent structures.

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“…2008; Dupont et al. 2020). As mentioned previously, the p.d.f.s of the field increments are a quantitative measure of the small-scale intermittency.…”

Section: Methodsmentioning

confidence: 99%

Section: Wavelet Analysis Of Small-scale Intermittencymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Sreenivasan & Kailasnath 1993; Stolovitzky, Sreenivasan & Juneja 1993; Liu, Hu & Cheng 2011; Dupont et al. 2020; Gauding et al. 2021).…”

Section: Introductionmentioning

confidence: 99%

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Multifield intermittency of dust storm turbulence in the atmospheric surface layer

2023

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“…) or the moments of the velocity increments (structure functions of different orders) are typically evaluated. Moreover, other techniques such as multifractal analysis (Sreenivasan 1991;Dupont et al 2020), conditional wavelet analysis (Katul, Parlange & Chu 1994;Matsushima, Nagata & Watanabe 2021) or Hilbert-Huang transform (Huang et al 2008) have been employed to study small-scale intermittency.…”

Section: Introductionmentioning

confidence: 99%