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Structure of temperature fluctuations in turbulent convective boundary layers
The Large-Eddy Simulation technique is exploited to investigate statistics of temperature fluctuations, Δ r θ, in Atmospheric Boundary Layers (ABLs) with different degrees of convection. We found statistical characterizations for both strong and weak fluctuations. In terms of probability density fun...
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Published in: | Journal of turbulence 2005-01, Vol.6 (6), p.N35 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The Large-Eddy Simulation technique is exploited to investigate statistics of temperature fluctuations, Δ
r
θ, in Atmospheric Boundary Layers (ABLs) with different degrees of convection. We found statistical characterizations for both strong and weak fluctuations. In terms of probability density functions (pdfs) of Δ
r
θ, weak and strong fluctuations reflect themselves in different rescaling properties of pdf cores and tails, respectively. For the cores, the observed rescaling is P(Δ
r
θ) = r
−α
(Δ
r
θ/r
α
); while for the tails, data are compatible with P(Δ
r
θ)∝ r
ζ
∞
. Such two rescaling properties are equivalent to saying ⟨|Δ
r
θ|
p
⟩∼ r
ζ
p
, with ζ
p
= α p for small p's and ζ
p
= ζ
∞
= constant for large p's. Both α and ζ
∞
turn out to be z-independent within the mixed layer and, more importantly, they do not appreciably vary by changing the degree of convection in the ABL. We also address the question related to the geometrical structure of temperature jumps contributing to large |Δ
r
θ|. Finally, the possible relevance of our results to the long-standing problem of subgrid scale parameterizations is discussed. |
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ISSN: | 1468-5248 1468-5248 |
DOI: | 10.1080/14685240500332049 |