Modelling stellar convective transport with plumes – II. Transport properties of locally and non-locally driven convection
- 1Department of Applied Physics, Faculty of Science, Fukuoka University , Fukuoka 814-0180 ,
- 2Division of Science, National Astronomical Observatory of Japan (NAOJ) , Osawa, Mitaka, Tokyo 181-8588 ,
- 3Institute of Industrial Science, University of Tokyo , Komaba, Meguro, Tokyo 153-8505 ,
Abstract
We perform 3D hydrodynamic simulations of two idealized convection setups: a cooling-driven model (Model C) and an entropy-gradient-driven model (Model S). The two setups exhibit clear differences: while Model S develops large, relatively stationary eddies excited at depth, Model C is dominated near the surface by intermittent plume-like downflows that produce broad non-Gaussian velocity distributions and a turbulent energy flux that exceeds that in Model S by nearly an order of magnitude in the upper convection zone. Conventional gradient-diffusion (GD) closures reproduce the transport in Model S but significantly underestimate it in Model C, demonstrating that the plume-dominated transport realized in our cooling-driven setup cannot be reproduced by a local, gradient-based model. To address this, we introduce a time-space double averaging method that extracts coherent fluctuations, yielding a diagnostic variable ũ that peaks where the flux is largest. Building on this insight, we propose a modified GD closure in which the turbulent diffusivity is corrected by a plume-mediated term, achieving quantitative agreement with simulation results. Although the closure requires a calibrated model parameter and a careful choice of the averaging window, it provides a physically transparent framework that links coherent plume dynamics to mean-field transport and offers a pathway toward improved subgrid models for non-equilibrium stellar convection zones.
Related
- Phase-space averaging for stellar convection II. Maximum-entropy closures for mixed radiative-convective envelopes
- Phase-space averaging for stellar convection I. Liouvillian dynamics
- The impact of M dwarf stellar convection on exoplanetary atmospheric signatures. A 3D radiation-hydrodynamics simulation analysis for high-resolution spectroscopy
- Phase-space averaging for stellar convection
- Transport of Magnetic Fields by Thermohaline Convection in Crystallizing White Dwarfs
BibTeX
@article{masada2026modelling,
title = {{Modelling stellar convective transport with plumes – II. Transport properties of locally and non-locally driven convection}},
author = {Youhei Masada and Tomoya Takiwaki and Nobumitsu Yokoi},
journal = {Monthly Notices of the Royal Astronomical Society},
year = {2026},
month = oct,
doi = {10.1093/mnras/stag1988},
url = {https://academic.oup.com/mnras/article/doi/10.1093/mnras/stag1988/8965441},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Modelling stellar convective transport with plumes – II. Transport properties of locally and non-locally driven convection
AU - Youhei Masada
AU - Tomoya Takiwaki
AU - Nobumitsu Yokoi
PY - 2026
DA - 2026/10/21
JO - Monthly Notices of the Royal Astronomical Society
DO - 10.1093/mnras/stag1988
UR - https://academic.oup.com/mnras/article/doi/10.1093/mnras/stag1988/8965441
AB - We perform 3D hydrodynamic simulations of two idealized convection setups: a cooling-driven model (Model C) and an entropy-gradient-driven model (Model S). The two setups exhibit clear differences: while Model S develops large, relatively stationary eddies excited at depth, Model C is dominated near the surface by intermittent plume-like downflows that produce broad non-Gaussian velocity distributions and a turbulent energy flux that exceeds that in Model S by nearly an order of magnitude in the upper convection zone. Conventional gradient-diffusion (GD) closures reproduce the transport in Model S but significantly underestimate it in Model C, demonstrating that the plume-dominated transport realized in our cooling-driven setup cannot be reproduced by a local, gradient-based model. To address this, we introduce a time-space double averaging method that extracts coherent fluctuations, yielding a diagnostic variable ũ that peaks where the flux is largest. Building on this insight, we propose a modified GD closure in which the turbulent diffusivity is corrected by a plume-mediated term, achieving quantitative agreement with simulation results. Although the closure requires a calibrated model parameter and a careful choice of the averaging window, it provides a physically transparent framework that links coherent plume dynamics to mean-field transport and offers a pathway toward improved subgrid models for non-equilibrium stellar convection zones.
SN - 0035-8711
SN - 1365-2966
ER -