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A nonlinear model for rotationally constrained convection with Ekman pumping

Published online by Cambridge University Press:  31 May 2016

Keith Julien*
Affiliation:
Department of Applied Mathematics, University of Colorado, Boulder, CO 80309, USA
Jonathan M. Aurnou
Affiliation:
Department of Earth, Planetary and Space Sciences, University of California, Los Angeles, CA 90095, USA
Michael A. Calkins
Affiliation:
Department of Applied Mathematics, University of Colorado, Boulder, CO 80309, USA Department of Physics, University of Colorado, Boulder, CO 80309, USA
Edgar Knobloch
Affiliation:
Department of Physics, University of California, Berkeley, CA 94720, USA
Philippe Marti
Affiliation:
Department of Applied Mathematics, University of Colorado, Boulder, CO 80309, USA
Stephan Stellmach
Affiliation:
Institut für Geophysik, Westfälische Wilhelms Universität Münster, D-48149 Münster, Germany
Geoffrey M. Vasil
Affiliation:
School of Mathematics and Statistics, University of Sydney, NSW 2006, Australia
*
†Email address for correspondence: julien@colorado.edu

Abstract

A reduced model is developed for low-Rossby-number convection in a plane layer geometry with no-slip upper and lower boundaries held at fixed temperatures. A complete description of the dynamics requires the existence of three distinct regions within the fluid layer: a geostrophically balanced interior where fluid motions are predominantly aligned with the axis of rotation, Ekman boundary layers immediately adjacent to the bounding plates, and thermal wind layers driven by Ekman pumping in between. The reduced model uses a classical Ekman pumping parameterization to alleviate the need to resolve the Ekman boundary layers. Results are presented for both linear stability theory and a special class of nonlinear solutions described by a single horizontal spatial wavenumber. It is shown that Ekman pumping (which correlates positively with interior convection) allows for significant enhancement in the heat transport relative to that observed in simulations with stress-free boundaries. Without the intermediate thermal wind layer, the nonlinear feedback from Ekman pumping would be able to generate heat transport that diverges to infinity at finite Rayleigh number. This layer arrests this blowup, resulting in finite heat transport at a significantly enhanced value. With increasing buoyancy forcing, the heat transport transitions to a more efficient regime, a transition that is always achieved within the regime of asymptotic validity of the theory, suggesting that this behaviour may be prevalent in geophysical and astrophysical settings. As the rotation rate increases, the slope of the heat transport curve below this transition steepens, a result that is in agreement with observations from laboratory experiments and direct numerical simulations.

Information

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Papers
Copyright
© 2016 Cambridge University Press 
Figure 0

Figure 1. Laboratory (${\it\sigma}\approx 7$) and DNS (${\it\sigma}=7$) rotating convection heat transfer data (adapted from Rossby (1969), King, Stellmach & Aurnou (2012) and Cheng et al. (2015)). The best-fitting heat transfer trend of $Nu\propto (Ra/Ra_{c})^{3.6}$ is plotted for $E=10^{-7}$. For comparison, $Nu\propto (Ra/Ra_{c})^{3}$ (King et al.2012) is plotted for $E=10^{-5}$ and $Nu\propto (Ra/Ra_{c})^{6/5}$ (King et al.2009, 2010) for $E=10^{-3}$. It should be noted that with each study at lower $E$, the scaling exponent becomes larger. This implies that the behaviour of rotating convection has not reached an asymptotic regime in the currently accessible range of $Nu$, $Ra$ and $E$. Adapted from Cheng et al. (2015).

Figure 1

Figure 2. A schematic diagram of the boundary layer structure for the enhanced-thermal-transport regime of rapidly rotating convection. Three distinct layers characterize the dynamics. The outer layer (o) is geostrophically balanced with dynamically significant flows and thermal perturbations. The middle layer (m) contains the largest thermal perturbations, ${\it\theta}$, of the entire system. The horizontal flow, $\boldsymbol{u}_{\bot }$, responds with a thermal wind driven shear. The inner layer (i) produces a frictional response that causes the flow to vanish at the physical bottom boundary. This layer contains no significant thermal perturbations. The Ekman response produces a vertical momentum flux out of the inner and middle layers and into the bulk fluid. The details of the dynamical pathway ensure that the Ekman flux correlates with the largest bulk vertical flows, thermal anomalies and vorticity. This correlation is the means by which no-slip boundary layers can so significantly enhance the heat flux through the entire system.

Figure 2

Figure 3. Comparison of the Nusselt number $Nu$ as a function of the reduced Rayleigh number $\widetilde{Ra}=RaE^{4/3}$ for NH-QGEs and DNS with (a) stress-free and (b) no-slip boundary conditions. The filled symbols illustrate DNS data obtained at $E=10^{-7}$ while the open symbols are from the reduced NH-QGEs. Data courtesy of Julien et al. (2012b) and Stellmach et al. (2014).

Figure 3

Figure 4. Comparisons between laboratory experiments, DNS and NH-QGEs of flow morphologies of rotationally constrained Rayleigh–Bénard convection. As $\widetilde{Ra}$ increases, the flow transitions between cellular, convective Taylor columns, plumes and geostrophic turbulence regimes.

Figure 4

Figure 5. Sample Ekman spiral profiles, i.e. projections of the vertical profiles of the horizontal velocities $u(z),v(z)$ onto the $u,v$ plane, at two fixed horizontal locations in the lower viscous layer of the DNS at $RaE^{4/3}=20$, $E=10^{-7}$, ${\it\sigma}=7$. The dashed line illustrates the analytic solution $(U_{0},V_{0})$ obtained from (3.37), (3.38). Open squares correspond to different vertical locations in the DNS boundary layer, computed using a vertical Chebyshev discretization with $385$ grid points.

Figure 5

Figure 6. Root mean square velocity profiles obtained via DNS with no-slip boundaries at $\widetilde{Ra}=20$, $E=10^{-7}$, ${\it\sigma}=7$. The blue solid vertical line is the r.m.s. horizontal velocity $\sqrt{\overline{u_{\bot }^{2}}}$ and the black solid vertical line is the r.m.s. vertical velocity $\sqrt{\overline{w^{2}}}$. Shaded regions denote the variance obtained from a time series. (a) Entire layer, (b) magnification of the $\mathit{O}(E^{1/3}H)$ thermal boundary layer scale and (c) magnification of the $\mathit{O}(E^{1/2}H)$ lower Ekman boundary layer. The Ekman boundary layer is delineated by the red horizontal dashed line, while the fluctuating thermal boundary layer (which has no visible effect on the velocity profiles) is delineated by the purple horizontal dashed line. The numerical grid points are marked by square and circular symbols in (c). The bulk velocity profile plotted in (a) transitions at the Ekman layer illustrated in (c).

Figure 6

Figure 7. Root mean square temperature profiles obtained via DNS with no-slip boundaries at $\widetilde{Ra}=Ra\,E^{4/3}=20$, $E=10^{-7}$, ${\it\sigma}=7$. The blue solid vertical line is the r.m.s. temperature $E^{-1/3}\sqrt{\overline{{\it\theta}^{\prime 2}}}$ and the black solid vertical line is the r.m.s. mean temperature $\overline{{\it\theta}}$. Shaded regions denote the variance obtained from a time series. (a) Entire layer, (b) magnification of the $\mathit{O}(E^{1/3}H)$ thermal boundary layer scale and (c) magnification of the Ekman boundary layer. The fluctuating thermal boundary layer is delineated by the purple horizontal dashed line, while the Ekman boundary layer is delineated by the red horizontal dashed line. The numerical grid points are marked by square and circular symbols in (c). The thermal profile exhibits no visible boundary layer structure on the Ekman layer scale (c).

Figure 7

Figure 8. Convective flux ${\it\sigma}\overline{w{\it\theta}}$ (vertical dashed line) and mean temperature gradient $-\partial _{z}\overline{{\it\theta}}=Nu-{\it\sigma}\overline{w{\it\theta}}$ (vertical solid line) obtained for DNS with no-slip boundaries at $\widetilde{Ra}=20,E=10^{-7},{\it\sigma}=7$ and average $Nu=17$. Shaded regions denote the variance obtained from a time series. (a) Entire layer, (b) magnification of the $\mathit{O}(E^{1/3}H)$ thermal boundary layer scale and (c) magnification of the Ekman boundary layer. The fluctuating thermal boundary layer is delineated by the purple horizontal dashed line, while the Ekman boundary layer is delineated by the red horizontal dashed line. The numerical grid points are marked by square and circular symbols. Equipartition is reached within the thermal wind layer (b).

Figure 8

Figure 9. The effect of Ekman pumping on the onset of steady convection. (a) Critical reduced Rayleigh number $\widetilde{Ra}$ versus $E^{-2}$ and (b) critical reduced wavenumber $k_{c}$ versus $E^{-2}$. The results shown are obtained from the unapproximated Navier–Stokes equations for no-slip boundaries (solid) and stress-free boundaries (dashed-dotted) for $E^{-2}\leqslant 10^{18}$. Asymptotic approximations are obtained from the reduced NH-QGEs with (i) impenetrable stress-free boundary conditions (dashed), where $(\widetilde{Ra}_{c},k_{c})=(8.6956,1.3048)$, and (ii) Ekman pumping boundary conditions (dotted). The linear effect of Ekman pumping is quantified by the interval between the dashed and dotted lines at a given $E^{-2}$.

Figure 9

Table 1. Minimal critical onset value reduced Rayleigh number $\widetilde{Ra}_{c}$ and wavenumber $k_{c}$ as a function of the Ekman number $E$ for the CNH-QGEs and the unapproximated Boussinesq equations in the presence of no-slip boundary conditions.

Figure 10

Figure 10. The Nusselt number $Nu$ versus $\widetilde{Ra}$ corresponding to the critical wavenumbers $k_{\bot }=k_{c}$ in the presence of Ekman pumping for single-mode solutions. The solid curve shows the results for the case of no pumping, ${\it\epsilon}=0$. The remaining curves illustrate the enhancement due to Ekman pumping for, from right to left, $E={\it\epsilon}^{3}=(10^{-16},10^{-14},10^{-12},10^{-10},10^{-8},10^{-6})$. See table 1 for $k_{c}$.

Figure 11

Figure 11. (a) The maximal Nusselt number $Nu$ versus $\widetilde{Ra}$ and (b) the corresponding wavenumber $k_{\bot }$ in the presence of Ekman pumping for single-mode solutions. The solid curve shows the results for the stress-free case with no pumping (${\it\epsilon}=0$). The remaining curves illustrate the enhancement due to Ekman pumping for, from right to left, $E={\it\epsilon}^{3}=(10^{-16},10^{-14},10^{-12},10^{-10},10^{-8},10^{-6})$. The stress-free case provides an upper bound for the horizontal wavenumber that maximizes heat transport in the single-mode theory.

Figure 12

Table 2. Estimates for the transitional Rayleigh number $\widetilde{Ra}_{thres}\sim E^{-1/9}$ as a function of $E$.

Figure 13

Figure 12. (a) Instantaneous heat transport exponent ${\it\beta}=\text{d}\log _{10}Nu/\text{d}\log _{10}\widetilde{Ra}$ versus $\widetilde{Ra}$ and (b) ${\it\gamma}=\text{d}\log _{10}(Nu-1)/\text{d}\log _{10}{\it\eta}$ versus ${\it\eta}=(\widetilde{Ra}/\widetilde{Ra}_{c})-1$. The solid curve shows the results for the case of no pumping (${\it\epsilon}=0$ in (5.9)). The remaining curves illustrate the enhancement due to Ekman pumping for, from right to left, $E={\it\epsilon}^{3}=(10^{-16},10^{-14},10^{-12},10^{-10},10^{-8},10^{-6})$.

Figure 14

Figure 13. Vertical structure profiles at $\widetilde{Ra}=20$, $E=10^{-7}$, ${\it\sigma}=7$ obtained from the reduced NH-QGEs with stress-free boundary conditions (black dashed line), reduced CNH-QGEs (black solid line) and DNS (red solid line). (a) Root mean square vertical velocity, (b) r.m.s. vertical vorticity, (c) r.m.s. temperature, (d) mean temperature. The stress-free and no-slip single-mode results respectively constitute lower and upper bounds on the DNS results.

Figure 15

Figure 14. The Nusselt number $Nu$ versus $\widetilde{Ra}$ at ${\it\sigma}=7$ and $E=10^{-7}$: single-mode data for stress-free boundaries at ${\it\epsilon}=0$ (solid black curve); single-mode data for no-slip boundaries (black dashed curve); DNS data for stress-free boundaries (red solid curve, open circles); DNS data for no-slip boundaries (red dashed curve, open circles); laboratory data (blue dashed curve, crosses). The single-mode solutions provide an upper bound to the DNS Nusselt number.