On the dissipation rate of temperature fluctuations in stably stratified flows

Basu, Sukanta; DeMarco, Adam W.; He, Ping

doi:10.1007/s10652-020-09761-7

Cited by 6 publications

(3 citation statements)

References 61 publications

(64 reference statements)

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“…This newly proposed OLS (L X ) was shown to be related to several other well-known characteristic length scales of turbulence (e.g., Hunt length scale, Ellison length scale, Ozmidov length scale) for different asymptotic stability conditions (e.g., near-neutral, very stable). Furthermore, various analytical results of [1] were in close agreement with published observational and direct numerical simulation generated data (e.g., [2,3]).…”

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confidence: 82%

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Toussaint¹,

Gorce²,

Ding³

2022

Interspeech 2022

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confidence: 82%

“…PTu3D 3. Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP) @ Optica Publishing Group 2022 © 2 0 2 2 T h e Au t h o r ( s )…”

mentioning

confidence: 99%

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Toussaint¹,

Gorce²,

Ding³

2022

Interspeech 2022

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“…We would like to point out that in the appendices of Basu et al [6,7] we have summarized the characteristics of Hunt, buoyancy, Ellison, Bolgiano, Ozmidov, and several other length scales. For brevity, we do not repeat them here.…”

Section: A Hybrid Length Scalementioning

confidence: 99%

Turbulent Prandtl number and characteristic length scales in stably stratified flows: steady-state analytical solutions

Basu

Holtslag

2021

Environ Fluid Mech

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In this study, the stability dependence of turbulent Prandtl number ($$Pr_t$$ P r t ) is quantified via a novel and simple analytical approach. Based on the variance and flux budget equations, a hybrid length scale formulation is first proposed and its functional relationships to well-known length scales are established. Next, the ratios of these length scales are utilized to derive an explicit relationship between $$Pr_t$$ P r t and gradient Richardson number. In addition, theoretical predictions are made for several key turbulence variables (e.g., dissipation rates, normalized fluxes). The results from our proposed approach are compared against other competing formulations as well as published datasets. Overall, the agreement between the different approaches is rather good despite their different theoretical foundations and assumptions.

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A Study of Intermittent Turbulence in Stable Arctic Boundary Layers

Butterworth,

de Boer,

Lawrence

2024

Boundary-Layer Meteorol

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Polar boundary layers are difficult to model due to the existence of intermittent turbulence within stable layers. Here we present a case study evaluation of coherent structures in a stable boundary layer observed during a series of flights with an uncrewed aircraft system (DataHawk2) on 19 October 2016 at Oliktok Point, Alaska as part of the ERASMUS (Evaluation of Routine Atmospheric Sounding Measurements using Unmanned Systems) field campaign. During a sequence of five flights over a nine-hour period, 57 profiles of atmospheric properties (0–400 m a.g.l) were collected. Turbulence was identified using derived Richardson Number, temperature structure function parameter, and turbulence kinetic energy dissipation. Throughout all flights on this strongly stable day, intermittent turbulence was observed. These turbulent layers showed well-mixed potential temperature profiles embedded within otherwise stable potential temperature profiles; often resulting in a characteristic staircase pattern. Turbulent layers ranged from 1 to 30 m deep, with most individual layers being 1–2 m deep. Vertical propagation velocities of layers in the lower atmosphere were on the order of a few cm s−1, typical of non-convective environments. In different regions of the profile, turbulence was driven by a different balance of buoyancy and shear forces, with turbulence in the near surface environment driven by strong shear forces overcoming strong resistance to buoyancy, while turbulence in elevated layers characterized by weaker shear forces overcoming weaker resistance to buoyancy. We discuss the potential of such datasets for improving subgrid parameterizations of small-scale turbulence embedded within stable boundary layers.

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On the dissipation rate of temperature fluctuations in stably stratified flows

Cited by 6 publications

References 61 publications

Design Guidelines for Inclusive Speaker Verification Evaluation Datasets

Design Guidelines for Inclusive Speaker Verification Evaluation Datasets

Turbulent Prandtl number and characteristic length scales in stably stratified flows: steady-state analytical solutions

A Study of Intermittent Turbulence in Stable Arctic Boundary Layers

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