Revisiting and revising Tatarskii’s formulation for the temperature structure parameter ($$C_T^2$$) in atmospheric flows

Basu, Sukanta; Holtslag, A.A.M.

doi:10.1007/s10652-022-09880-3

Cited by 9 publications

(2 citation statements)

References 28 publications

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“…In the buoyancy range, different scaling laws of the temperature structure function have been proposed (Bolgiano, 1962; Cot & Barat, 1989; Nastrom et al., 1997). The hypotheses behind those different scaling laws are presented in Basu and Holtslag (2022), leading to temperature structure functions proportional to ρ 2/5 or ρ 2 in the buoyancy range.…”

Section: Discussion and Generalizationmentioning

confidence: 99%

Computation of Optical Refractive Index Structure Parameter From Its Statistical Definition Using Radiosonde Data

2023

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Section: Discussion and Generalizationmentioning

confidence: 99%

Computation of Optical Refractive Index Structure Parameter From Its Statistical Definition Using Radiosonde Data

2023

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“…where C 2 T is the so-called temperature structure parameter. Based on the results from [1], Basu and Holtslag [4] further derived:…”

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confidence: 99%

Design Guidelines for Inclusive Speaker Verification Evaluation Datasets

Toussaint¹,

Gorce²,

Ding³

2022

Interspeech 2022

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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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Revisiting and revising Tatarskii’s formulation for the temperature structure parameter ($$C_T^2$$) in atmospheric flows

Cited by 9 publications

References 28 publications

Computation of Optical Refractive Index Structure Parameter From Its Statistical Definition Using Radiosonde Data

Computation of Optical Refractive Index Structure Parameter From Its Statistical Definition Using Radiosonde Data

Design Guidelines for Inclusive Speaker Verification Evaluation Datasets

A Study of Intermittent Turbulence in Stable Arctic Boundary Layers

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