Fine-scale statistics of temperature and its derivatives in convective turbulence
M. S. Emran, J. Schumacher

TL;DR
This study investigates the detailed statistical behavior of temperature and its derivatives in turbulent Rayleigh-Benard convection through direct numerical simulations, revealing non-Gaussian distributions, boundary layer effects, and intermittency at high Rayleigh numbers.
Contribution
It provides new insights into the small-scale statistics and dissipation characteristics of temperature in turbulent convection, challenging existing scaling assumptions.
Findings
Temperature fluctuations are non-Gaussian and asymmetric.
Thermal dissipation rate distribution fits a stretched exponential.
Small-scale intermittency increases with Rayleigh number.
Abstract
We study the fine-scale statistics of temperature and its derivatives in turbulent Rayleigh-Benard convection. Direct numerical simulations are carried out in a cylindrical cell with unit aspect ratio filled with a fluid with Prandtl number equal to 0.7 for Rayleigh numbers between 10^7 and 10^9. The probability density function of the temperature or its fluctuations is found to be always non-Gaussian. The asymmetry and strength of deviations from the Gaussian distribution are quantified as a function of the cell height. The deviations of the temperature fluctuations from the local isotropy, as measured by the skewness of the vertical derivative of the temperature fluctuations, decrease in the bulk, but increase in the thermal boundary layer for growing Rayleigh number, respectively. Similar to the passive scalar mixing, the probability density function of the thermal dissipation rate…
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