Thermohaline interleaving induced by horizontal temperature and salinity gradients from above

Li, Junyi; Yang, Yantao

doi:10.1017/jfm.2021.753

Cited by 3 publications

(4 citation statements)

References 33 publications

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“…(2015, 2020), Du, Zhang & Yang (2021), Bin et al. (2022) and Li & Yang (2021), among others. Here, a single R20F02 or R20F10 case requires approximately 2000 CPU hours; a single R20F50 realization requires 3000 CPU hours due to the increased simulation time; and a single R50F50 realization requires approximately 9000 CPU hours.…”

Section: Direct Numerical Simulationsmentioning

confidence: 99%

“…Further details of the code can be found in Van Der Poel et al (2015), Ostilla-Mónico et al (2015) and Kim & Moin (1985). The code has been used for stratified flows in Jain et al (2022), Yang et al (2015Yang et al ( , 2020, Du, Zhang & Yang (2021), Bin et al (2022) and Li & Yang (2021), among others. Here, a single R20F02 or R20F10 case requires approximately 2000 CPU hours; a single R20F50 realization requires 3000 CPU hours due to the increased simulation time; and a single R50F50 realization requires approximately 9000 CPU hours.…”

Section: Initial Conditionsmentioning

confidence: 99%

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Direct numerical simulation of temporally evolving stratified wakes with ensemble average

Li,

Yang,

Kunz

2024

J. Fluid Mech.

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Direct numerical simulations are conducted for temporally evolving stratified wake flows at Reynolds numbers from $10\,000$ to $50\,000$ and Froude numbers from $2$ to 50. Unlike previous studies that obtained statistics from a single realization, we take ensemble averages among 80–100 realizations. Our analysis shows that data from one realization incur large convergence errors. These errors reduce quickly as the number of statistical samples increases, with the benefit of ensemble average diminishing beyond 40–60 realizations. The data with ensemble average allow us to test the previously established scalings and arrive at new scaling estimates. Specifically, the data do not support power-law scaling in the centreline velocity deficit $U_0$ beyond the near wake. Its decay rate increases continuously from 0.1 at the onset of the non-equilibrium regime until the end of our calculations without reaching any asymptote. Additionally, while no power-law scalings could be found in the wake width ( $L_H$ ) and wake height ( $L_V$ ) in the late wake, $L_H\sim (Nt)^{1/3}$ is a good working approximation of the wake's horizontal size, where $N$ is buoyancy frequency and $t$ is time. Besides the low-order statistics, we also report the transverse integrated terms and the vertically integrated terms in the turbulent kinetic energy budget equation as a function of the vertical and transverse coordinates. The data indicate that there are two peaks in the vertically integrated production and transport terms, and one peak when the two terms are integrated horizontally.

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Section: Direct Numerical Simulationsmentioning

confidence: 99%

Section: Initial Conditionsmentioning

confidence: 99%

Direct numerical simulation of temporally evolving stratified wakes with ensemble average

Li,

Yang,

Kunz

2024

J. Fluid Mech.

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show abstract

“…Further details of the numerics can be found in Ostilla-Monico et al (2015), van der Poel et al (2015) and Kim & Moin (1985). The code has been extensively used for stratified flows (Yang et al 2015(Yang et al , 2020Du, Zhang & Yang 2021;Li & Yang 2021), and we present a validation in Appendix A.…”

Section: Groupmentioning

confidence: 99%

“…The code has been extensively used for stratified flows (Yang et al. 2015, 2020; Du, Zhang & Yang 2021; Li & Yang 2021), and we present a validation in Appendix A.…”

Section: Computational Detailsmentioning

confidence: 99%

Evolution of two counter-rotating vortices in a stratified turbulent environment

Bin

Yang

et al. 2022

J. Fluid Mech.

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We conduct direct numerical simulations and study the evolution of a pair of counter-rotating vortices in a stratified and turbulent environment beyond the first vortex linking (which is due to the Crow instability). The initial position of the two vortices is perpendicular to the direction of thermal stratification. We vary the Froude number, the background turbulence intensity and the Reynolds number, covering strong, weak and neutral stratification; low, moderate and high background turbulence; and low and moderate Reynolds numbers. We observe a second vortex linking in a weakly stratified environment for the first time. The second vortex linking is followed by turbulence bursts that lead to the rapid decay of the residual vortices after the first vortex linking, leading to a short-living vortex pair. This challenges the conventional view that residual vortices have a long life span, which is true only in an unstratified environment. In addition to the second vortex linking, we observe the following. First, strong background turbulence quickly breaks the two vortices. Second, the two vortices induce secondary and tertiary vortices and lose energy to gravitational waves in a strongly stratified ( $Fr\leqslant 0.7$ ) environment.

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Linear logistic regression with weight thresholding for flow regime classification of a stratified wake

Huang¹,

Kunz²,

Yang³

2023

Theoretical and Applied Mechanics Letters

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Thermohaline interleaving induced by horizontal temperature and salinity gradients from above

Cited by 3 publications

References 33 publications

Direct numerical simulation of temporally evolving stratified wakes with ensemble average

Direct numerical simulation of temporally evolving stratified wakes with ensemble average

Evolution of two counter-rotating vortices in a stratified turbulent environment

Linear logistic regression with weight thresholding for flow regime classification of a stratified wake

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