The platform will undergo maintenance on Sep 14 at about 7:45 AM EST and will be unavailable for approximately 2 hours.
2018
DOI: 10.1088/1741-4326/aad28e
|View full text |Cite
|
Sign up to set email alerts
|

Non-Oberbeck–Boussinesq zonal flow generation

Abstract: Novel mechanisms for zonal flow (ZF) generation for both large relative density fluctuations and background density gradients are presented. In this non-Oberbeck-Boussinesq (NOB) regime ZFs are driven by the Favre stress, the large fluctuation extension of the Reynolds stress, and by background density gradient and radial particle flux dominated terms. Simulations of a nonlinear full-F gyro-fluid model confirm the predicted mechanism for radial ZF propagation and show the significance of the NOB ZF terms for e… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

5
60
1

Year Published

2019
2019
2024
2024

Publication Types

Select...
7

Relationship

3
4

Authors

Journals

citations
Cited by 22 publications
(66 citation statements)
references
References 61 publications
5
60
1
Order By: Relevance
“…Retaining these density fluctuations does render the derivation and the final expressions more complicated though, but the Favre averages demonstrated in equation 6 allow to reduce the number of closure terms that appear in the mean-field equations with respect to using Reynolds averages shown in equation 4. Similar Favre averaging techniques have been used to take density fluctuations into account to analyse zonal flow generation by Held et al 28 .…”
Section: Derivation Of K ⊥ Equationmentioning
confidence: 99%
See 1 more Smart Citation
“…Retaining these density fluctuations does render the derivation and the final expressions more complicated though, but the Favre averages demonstrated in equation 6 allow to reduce the number of closure terms that appear in the mean-field equations with respect to using Reynolds averages shown in equation 4. Similar Favre averaging techniques have been used to take density fluctuations into account to analyse zonal flow generation by Held et al 28 .…”
Section: Derivation Of K ⊥ Equationmentioning
confidence: 99%
“…In more complex cases different saturation mechanisms might come into play though. For example, flow shear is believed to lead to turbulence quenching and may lead to zonal flow and transport barrier formation 26,28,37,38 . This phenomenon is not observed in this work as the electrostatic potential is very strongly constrained by the sheath potential such that no significant ExB flow in the diamagnetic y-direction and thus no flow shear can develop.…”
Section: Please Cite This Article Asmentioning
confidence: 99%
“…A paradigmatic model to study drift wave turbulence and zonal flow dynamics in the edge of magnetized fusion plas-mas is the Hasegawa-Wakatani (HW) model [28,56,29,50]. Recently, this model has been extended to include large relative density fluctuation amplitudes and steep density gradients within a full-F gyro-fluid approach, thus facilitating studies in the non-Oberbeck-Boussinesq regime [31]. The dimensionless modified full-F HW equations consists of continuity equations for electron particle density n, ion gyro-center density N and the polarisation equation The initial (gyro-center) density fields n( x, 0) = N( x, 0) = n G (x) 1 + δn 0 ( x) consist of the reference background density profile n G := e −κx , which is perturbed by a turbulent bath δn 0 ( x).…”
Section: Reproducibility In Numerical Simulationsmentioning
confidence: 99%
“…Here, κ parameterizes the constant background density gradient length. For further details to the model we refer the reader to Reference [31].…”
Section: Reproducibility In Numerical Simulationsmentioning
confidence: 99%
“…1) Finally, we study how non-modality affects the turbulence intensity in collisional DW turbulence without and with zonal flows. Here, the underlying models are the NOB-extended OHW (equations (2), (1b) and (1c)) and modified HW (MHW) model [44], respectively. In Fig.…”
Section: B Non-modal Analysismentioning
confidence: 99%