Wavelet Analysis of Intermittent Turbulent Transport in the Atmospheric Surface Layer over a Monsoon Trough Region

Kulkarni, J. R.; Sadani, L. K.; Murthy, B. S.

doi:10.1023/a:1001773312285

Cited by 14 publications

(12 citation statements)

References 40 publications

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“…Moreover, owing to the differencing characteristics, the Daubechies 1 wavelet (Haar wavelet) is commonly used for identifying the 'events' that produce sudden variations of the flow field and the presence of intermittency [33][34][35][36] . Therefore, the electrostatic signals collected were firstly resampled to 200 Hz and then decomposed into 14 scales 10 based on Daubechies1.…”

Section: Wavelet Flatness Factors and Flow Intermittencymentioning

confidence: 99%

Characterization of Flow Intermittency and Coherent Structures in a Gas–Solid Circulating Fluidized Bed through Electrostatic Sensing

Sun

Yan

2016

Ind. Eng. Chem. Res.

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Flow intermittency and coherent structures are important hydrodynamic phenomena in a gas-solid circulating fluidised bed (CFB). In this work, an electrostatic measurement system based on arc-shaped sensing electrodes is designed and implemented on a CFB test rig. Cross correlation, statistical analysis, wavelet transform and probability density function (PDF) are applied to the electrostatic signal processing, providing a

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Section: Wavelet Flatness Factors and Flow Intermittencymentioning

confidence: 99%

Characterization of Flow Intermittency and Coherent Structures in a Gas–Solid Circulating Fluidized Bed through Electrostatic Sensing

Sun

Yan

2016

Ind. Eng. Chem. Res.

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“…The inertial subrange scale ends are approximately 0.3 Hz and 7.0 Hz [4]. These values have been calculated through using the method based on isotropy coefficient calculus using the Haar wavelet transform [23].…”

Section: Data and Experimental Sitementioning

confidence: 99%

Wavelet analysis of the wind velocity and temperature variability in the Amazon Forest

Bolzan

Vieira

2006

Braz. J. Phys.

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We studied the turbulent interactions among vertical wind velocity and temperature time-series measured in the Amazonian forest, during the wet season campaign of Large Biophere-Atmosphere Experiment in Amazonia (LBA) in 1999. The approach is based on the estimation of the correlation coefficient between the different scales in turbulent fields and Cross Wavelet Power (XWP). The results suggest that the correlations among scales of the vertical wind velocity are due to the Coherent Structures (CS), a large scale signature in the thermal profile. These coherent structures, kind of ramps, promoted an increase in the interaction among both variables, vertical wind velocity and temperature, and also depends on the atmospheric stability conditions. Furthermore, these coherent structures may explain the higher values of the correlation coefficient found in the large scales during the diurnal period compared with the nocturnal period, for the vertical wind velocity.

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“…Finally, since we were primarily interested in the statistical characteristics of turbulence within the inertial subrange, we checked our data for the existence of a sizable scaling range. We also computed the approximate extension of the inertial sub-range using the value of the isotropy coefficient (which shall be close to one within the intertial sub-range) [20].…”

Section: Data and Experimental Sitementioning

confidence: 99%

Atmospheric turbulence within and above an Amazon forest

Ramos

Bolzan

Sá

et al. 2004

Physica D: Nonlinear Phenomena

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In this paper, we discuss the impact of a rain forest canopy on the statistical characteristics of atmospheric turbulence. This issue is of particular interest for understanding on how the Amazon terrestrial biosphere interact with the atmosphere. For this, we used a probability density function model of velocity and temperature differences based on Tsallis' non-extensive thermostatistics. We compared theoretical results with experimental data measured in a 66 m micrometeorological tower, during the wet-season campaign of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA). Particularly, we investigated how the value of the entropic parameter is affected when one moves into the canopy, or when one passes from day/unstable to night/stable conditions. We show that this new approach provides interesting insights on turbulence in a complex environment such as the Amazon forest.

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Wavelet Analysis of Intermittent Turbulent Transport in the Atmospheric Surface Layer over a Monsoon Trough Region

Cited by 14 publications

References 40 publications

Characterization of Flow Intermittency and Coherent Structures in a Gas–Solid Circulating Fluidized Bed through Electrostatic Sensing

Characterization of Flow Intermittency and Coherent Structures in a Gas–Solid Circulating Fluidized Bed through Electrostatic Sensing

Wavelet analysis of the wind velocity and temperature variability in the Amazon Forest

Atmospheric turbulence within and above an Amazon forest

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