2017
DOI: 10.1140/epje/i2017-11577-5
|View full text |Cite
|
Sign up to set email alerts
|

Correction to: Variations of characteristic time scales in rotating stratified turbulence using a large parametric numerical study

Abstract: After publication of the paper, an error in computing the ratio γ of kinetic to potential energy transfer times has been detected, which has led the authors to amend two figures, as explained below.Energy dissipation rates, v,p = |D t E v,p |, were computed with isotropic one-dimensional Fourier data, when 2D spectra should have been used [1]. The difference is particularly stark for the strongly anisotropic density dissipation p , with sharp fronts. , as a function of the Richardson number (top) and N/f (bott… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

1
3
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
3

Relationship

2
1

Authors

Journals

citations
Cited by 3 publications
(4 citation statements)
references
References 2 publications
1
3
0
Order By: Relevance
“…Together with the multitude of vortex tubes that are visible in the flow, this indicates that the generation of fully developed turbulence by the strong stirring linked with large-scale vertical shear can be studied in this simplified set up. The ratio of dissipation of kinetic to potential energy is roughly 3 for the high-resolution run A8; thus, r ≈ 1/4, comparable to what was found in [43,86,87] for an ensemble of rotating stratified flows in the absence of forcing. Similarly, when measuring the so-called mixing efficiency, Γ = B V / V , with B V = N wθ the properly dimensionalised vertical heat flux, we find Γ ≈ 0.4 for run A8, again comparable with previous studies and observations.…”
Section: Discussionsupporting
confidence: 78%
“…Together with the multitude of vortex tubes that are visible in the flow, this indicates that the generation of fully developed turbulence by the strong stirring linked with large-scale vertical shear can be studied in this simplified set up. The ratio of dissipation of kinetic to potential energy is roughly 3 for the high-resolution run A8; thus, r ≈ 1/4, comparable to what was found in [43,86,87] for an ensemble of rotating stratified flows in the absence of forcing. Similarly, when measuring the so-called mixing efficiency, Γ = B V / V , with B V = N wθ the properly dimensionalised vertical heat flux, we find Γ ≈ 0.4 for run A8, again comparable with previous studies and observations.…”
Section: Discussionsupporting
confidence: 78%
“…Runs with an emphasis on realistic parameters for the mesosphere and lower thermosphere, and that overlap with the present data base, were investigated for the energy partition between waves and slow modes and the link with kinetic-potential energy exchanges in Marino et al (2015b), as well as for parametric characteristic time-scale variations in Rosenberg et al (2016) (see also Rosenberg et al (2017)). Here, the runs on grids of 1024 3 points, cover the following parameter ranges (see Table 1): 0.11 Ro 41, 1985 Re 18590, 0.001 F r 5.5, 0.02 < R B < 1.2 × 10 5 and 2.47 N/f 312.…”
Section: Overview Of the Runsmentioning
confidence: 99%
“…It is less clear what the impact this rotation has on small scale turbulent mixing, especially in a role that is coupled with stratification [31]. The inclusion of rotation has led to increased study of inertial gravity waves and what is classified as rotating stratified turbulence (RST) [22,23,29,37,38]. An important question that has not been clearly answered is whether or not the inclusion of rotation will impact the existing parameterizations for the irreversible mixing e ciency in stably stratified flows that mostly do not account for the rotation.…”
Section: Introductionmentioning
confidence: 99%
“…Direct numerical simulations (DNS) have been an important avenue for understanding stratified turbulence both with and without the influence of rotation [4,14,18,20,21,29,30,32,35,37,38,44]. Recent work using DNS has led to some insights and parameterizations of small-scale mixing [9,17,19,25] by trying to answer questions about turbulent mixing in geophysical flows and demonstrating how DNS can be useful and informative to the broader study of geophysical flows.…”
Section: Introductionmentioning
confidence: 99%