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What happens when Ra grows large: Turbulent convection Statistical approach Dynamics of individual (coherent) plumes. Turbulent convection ( s =0.71, a =2 p , Ra=10 7 ). Turbulent convection ( s =0.71, a =2 p , Ra=10 7 ). Turbulent convection ( s =0.71, a =2 p , Ra=10 7 ).
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What happens when Ra grows large: Turbulent convection Statistical approach Dynamics of individual (coherent) plumes
Turbulent convection: Statistical properties and transition from soft to hard turbulence Scaling of the heat transport: Nu vs Ra Nu =Qtotal / Qconduction= 1 + < wq >
Clustering of plumes and formation of large-scale order Large-scale wind and generation of mean shear (rectification process, k=0): Krishnamurti and Howard (1981) Howard and Krishnamurti (1986) Massaguer, Spiegel and Zahn (1992) Large-scale wind leads to plume clustering: Heslot et al (1987) Kadanoff (2001) Instability of the long-wave modes in turbulent convection: Elperin et al (2003) Numerical simulation with periodic b.c.: No k=0 mode Hartlep, Tilgner and Busse (2003) Parodi, von Hardenberg, Passoni, Provenzale, Spiegel, PRL (2004), PLA (2008)
Turbulent RB convection undergoesa process of energy transferfrom the scales of the linear instabilityto the largest scales (box size).At later times,the system becomes statistically stationary.
It is not a mean shear ( k = 0 )but rather a circulation at the largest scales (k=1)The large-scale structures areclusters of individual plumes
The large-scale wind in closed containeris probably due to the same process,with the energy piling up at the k=1/2 mode It is not the large-scale circulation that generates plume clustering but viceversa
Is there an upper scale where the clustering is arrested ?How does the clustering depend on theRayleigh number ?
What causes the clustering ? Option 1: attraction of same-sign plumes Option 2: the interaction of the lower and upper boundary layers by the agency of plumes Other view:The fixed-flux instability of a coarse-grained field( with Reff << R )
In the fully turbulent regime, the system recovers a “statistical” roll pattern
Convection has still a lot to teach: Effect of rotation Transport Predictability Simplified models of moist convection
A summary of NS and fully-developed turbulence (incompressible, homogeneous flow) Non dimensional version
A summary of NS and fully-developed turbulence (incompressible, homogeneous flow) In the limit : formation of boundary layers
Far from boundary layers: inertial range (Kolmogorov 1941, or K41) log E(k) Direct energy cascade from large to small scales k-5/3 E log k