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Center for Turbulence Research Annual Research Briefs 2010 383 Simulation of turbulent acoustic sources in the Sun By I. N. Kitiashvili, A. G. Kosovichev, N. N. MansourAND A. A. Wray1. Motivation and objective Oscillatory behavior is one of the basic properties of the solar surface. Stochastic wave excitation in the turbulent convective medium and frequent interference of acoustic wavefronts make the problem of understanding of the mechanism of solar oscillations very complicated. In observational data individual wave excitation events overlap with other wave events. Nevertheless, individual impulsive events generating acoustic waves have been detected by the Vacuum Tower Telescope (Sacramento Peak Observatory). According to data analysis and numerical simulations, the source of solar acoustic waves with a typical period of 5 min is located in the turbulent convection layer 200 km below the solar surface (Goode et al. 1992). Such impulsive events usually occur in intergranular lanes of the granulation pattern, and are associated with local strong cooling of fluid elements (Rimmele et al. 1995). At the present time there is no clear explanation of the mechanism of acoustic wave sources on the Sun. In turbulence theory, the wave excitation process was initially studied by Lighthill (1952) for acoustic wave’s generated by air flow. According to the theory, a mechanism for the transfer of the flow kinetic energy to acoustic energy can be caused by short-time deformation of fluid elements by shear flows (Lighthill 1954). The importance of turbulence as a source of wave generation on the Sun was confirmed by numerical sim- ulations. In particular, the numerical results of Stein & Nordlund (2001) supported the observations that strong acoustic sources are located near the solar surface. The simula- tions also supported the observation that these sources are located at the intergranular lanes or in their vicinity, where wave excitation is related to occasional, high-pressure fluctuations associated with the initiation of turbulent downdrafts and, sometimes, with intergranular lane formation. These are relatively small-scale events compared to the granular structure. Current numerical simulations cannot resolve all of the turbulence scales in the solar conditions. As accurate sub-grid scale modeling of turbulence is there- fore important when the events of interest are part of the cascade of turbulence scales. In particular, Jacoutot et al. (2008a) studied several turbulence models and found that the best agreement of the synthetic (simulated) oscillation power spectrum with obser- vational data is given by a dynamic formulation of the Smagorinsky model (Germano et al. 1991; Moin et al. 1991). The problem of resolving small-scale turbulent eddies is also evident in our observing capabilities. Observations were able to resolve relatively large, 3 Mm in diameter, vortex flows in the photosphere (Brandt et al. 1988). Then, evidence for vortex motions was found from an example of two bright points rotating around each other (Wang et al. 1995). Other observations of vortices showed a connection of vortex motions to strong downflows (P¨otzi & Brandt 2005). Recent observations were able to detect a number HEPL, Stanford University, USA NASA Ames Research Center, USA

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Page 1: Center for Turbulence Research Annual Research Briefs 2010 ...Annual Research Briefs 2010 383 Simulation of turbulent acoustic sources in the Sun ... move close to each other and partially

Center for Turbulence ResearchAnnual Research Briefs 2010

383

Simulation of turbulent acoustic sourcesin the Sun

By I. N. Kitiashvili, A. G. Kosovichev†, N. N. Mansour‡ AND A. A. Wray‡

1. Motivation and objective

Oscillatory behavior is one of the basic properties of the solar surface. Stochasticwave excitation in the turbulent convective medium and frequent interference of acousticwavefronts make the problem of understanding of the mechanism of solar oscillationsvery complicated. In observational data individual wave excitation events overlap withother wave events. Nevertheless, individual impulsive events generating acoustic waveshave been detected by the Vacuum Tower Telescope (Sacramento Peak Observatory).According to data analysis and numerical simulations, the source of solar acoustic waveswith a typical period of 5 min is located in the turbulent convection layer ∼ 200 km belowthe solar surface (Goode et al. 1992). Such impulsive events usually occur in intergranularlanes of the granulation pattern, and are associated with local strong cooling of fluidelements (Rimmele et al. 1995).

At the present time there is no clear explanation of the mechanism of acoustic wavesources on the Sun. In turbulence theory, the wave excitation process was initially studiedby Lighthill (1952) for acoustic wave’s generated by air flow. According to the theory, amechanism for the transfer of the flow kinetic energy to acoustic energy can be caused byshort-time deformation of fluid elements by shear flows (Lighthill 1954). The importanceof turbulence as a source of wave generation on the Sun was confirmed by numerical sim-ulations. In particular, the numerical results of Stein & Nordlund (2001) supported theobservations that strong acoustic sources are located near the solar surface. The simula-tions also supported the observation that these sources are located at the intergranularlanes or in their vicinity, where wave excitation is related to occasional, high-pressurefluctuations associated with the initiation of turbulent downdrafts and, sometimes, withintergranular lane formation. These are relatively small-scale events compared to thegranular structure. Current numerical simulations cannot resolve all of the turbulencescales in the solar conditions. As accurate sub-grid scale modeling of turbulence is there-fore important when the events of interest are part of the cascade of turbulence scales.In particular, Jacoutot et al. (2008a) studied several turbulence models and found thatthe best agreement of the synthetic (simulated) oscillation power spectrum with obser-vational data is given by a dynamic formulation of the Smagorinsky model (Germano et

al. 1991; Moin et al. 1991).The problem of resolving small-scale turbulent eddies is also evident in our observing

capabilities. Observations were able to resolve relatively large, ∼ 3 Mm in diameter,vortex flows in the photosphere (Brandt et al. 1988). Then, evidence for vortex motionswas found from an example of two bright points rotating around each other (Wang et al.

1995). Other observations of vortices showed a connection of vortex motions to strongdownflows (Potzi & Brandt 2005). Recent observations were able to detect a number

† HEPL, Stanford University, USA‡ NASA Ames Research Center, USA

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384 I. N. Kitiashvili et al.

Figure 1. Snapshots of the simulated solar surface for a) temperature, b) density, c) verticalvelocity and d) magnitude of the horizontal velocities. The white squares indicate the largestwhirlpools. The whirlpools are located in the intergranular lanes. One of the whirlpools is mag-nified and shown in the left bottom corner of each panel. The horizontal grid resolution is 12.5km.

of vortical flows in a quiet Sun region, near the solar disk center, by tracing magneticbright points (Bonet et al. 2008), which followed a logarithmic spiral trajectory aroundintergranular points and were engulfed by a downdraft. These whirlpools are ≤ 0.5 Mmin size, and their lifetime varies from 5 min to ≥ 20 min (Bonet et al. 2008, 2010). Thesearch for and identification of vortices in solar data are a problem mainly of spatialresolution in the observations. For example, the initially estimated number of whirlpoolswas ∼ 1.8 × 10−3 per Mm−2 per min (Bonet et al. 2008). After the launch of the 1-mballoon-borne Sunrise telescope, this estimate was revised to ∼ 3.1 × 10−3 per Mm−2

per min for a typical value of vertical vorticity of 6 × 10−3 sec−1 (Bonet et al. 2010).The distribution of vortices shows a strong preference for concentration in regions ofconvective downflows, particularly at the mesogranular scale (Potzi & Brandt 2005).

In this paper, we present new results of numerical simulations of 3D radiative hydro-dynamics of a quiet-Sun region without magnetic field. By analyzing these results, weidentify the process of excitation of acoustic waves, and study their propagation in theconvective medium. Our results reveal an interesting connection between interactions of

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Simulation of turbulent acoustic sources in the Sun 385

Figure 2. Temporal evolution of density fluctuations (calculated as ρ(ti+1)− ρ(ti)) at the solarsurface with cadence 30 sec shows acoustic wave excitation and radial propagation from a vortexsource, representing interaction of two vortices with opposite-sign vertical vorticity. Overplottedyellow circles indicate the wave front. Red and blue lines correspond to the magnitude of thepositive (clockwise) and negative (counterclockwise) vertical vorticity.

vortex tubes that are distributed in the near-surface layer of the Sun, and the generationof acoustic waves.

2. Realistic simulations of the quiet-Sun turbulent convection: numerical setup

We used the 3D radiative MHD simulation code “SolarBox” (developed by A. Wray).It is based on a Large Eddy Simulations (LES) formulation that includes various sub-gridscale turbulence models (Jacoutot et al. 2008a). The code takes into account several phys-ical phenomena: compressible fluid flow in a highly stratified medium, three-dimensionalmulti-bin radiative energy transfer between the fluid elements, real-gas equation of statetreatment, ionization and excitation of all abundant species. The code has been carefully

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386 I. N. Kitiashvili et al.

Figure 3. Time-space diagrams of normalized density fluctuations for: a) a single-wave excita-tion event and b) a series of acoustic wave excitation events. The slope of the ridges correspondsto a mean speed of 8 – 14 km/s.

tested and used for studying how various turbulence models affect the excitation of solaracoustic oscillations by turbulent convection in the upper convection zone (Jacoutot et

al. 2008a,b). The code was validated by comparison with the code of Stein & Nordlund(2001), and has been used to study solar oscillations (Jacoutot et al. 2008a), magneto-convection of sunspots (Kitiashvili et al. 2009) and processes of spontaneous formationof magnetic structures (Kitiashvili et al. 2010).

The simulation results are obtained for two different computational domains (6.4 ×

6.4 × 5.5 Mm3 and 12 × 12 × 5.5 Mm3), and various grid resolutions: 502 × 43 km3,252×21.7 km3 and 12.52×11 km3. The domains include a 5 Mm-deep layer of the upperconvective zone and a 0.5 Mm-high layer of the low atmosphere. The lateral boundaryconditions are periodic. The top and bottom boundaries are closed to mass, momentumand energy transfer (apart from radiative fluxes).

3. Vortex structures in the simulated granular convection

Association of the location of acoustic sources with intergranular lanes or their vicinitycan be interesting because of vortical motions in the lanes. Such vortical motions (“in-verted tornado”) initially were predicted by numerical simulations (Nordlund 1985; Stein& Nordlund 2000), which also revealed a correlation between the inverted tornadoes andstrong pressure variations in the intergranular lanes.

Figure 1 shows snapshots of our simulations of the surface layer for the temperature,density, vertical velocity and the magnitude of horizontal velocities at the same momentin time. Several vortex structures (whirlpools) are indicated by white squares. The figureillustrates the difficulties in detecting complex small vortices in the temperature andvertical velocity distributions. The vortices are best seen in the density distribution. Thedetailed structure of a single vortex is shown in the bottom left corner of each panelin Figure 1. The vortices have a complicated surface structure that have the following

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Simulation of turbulent acoustic sources in the Sun 387

Figure 4. Different stages of the subsurface vortex interaction: a) initial structure of the vortices,b) closing-up stage, and c) after annihilation of the smaller vortex. Solid and dashed isolinesshow the magnitude of the positive and negative vertical vorticity.

properties: i) low-temperature core; ii) dramatical drop in density and gas pressure;iii) strong (up to 7 km/s) downflows; and iv) high-speed, often supersonic, horizontalvelocities that reach up to 11 km/s.

4. Merging of vortices as a source of the acoustic waves

The dynamics of vortices in the intergranular lanes resembles a inverse “tornado”behavior. An accurate tracking of individual vortices reveals the generation of concentricwaves, excited approximately at the center of the vortex cores. The waves are best seenin density perturbations and are frequently the result of the interaction between two ormore vortices. The wave fronts have the form of a circle or a sector, depending on thesource structure, the interference of waves from other sources and on the dynamics of thesurrounding flows. The wave propagation can also be observed in movies of the verticalvelocity, temperature and intensity variations at the surface. Figure 2 shows the processof acoustic wave excitation in a sequence of the density difference ρ(ti+1) − ρ(ti), withthe cadence of 30 sec, in a horizontal slice corresponding to the surface. Yellow circlesindicate the approximate positions of the wave front.

This process of acoustic wave generation is common in these simulations. However,identification of individual events is often difficult because the wave amplitude is of thesame order as the amplitude of noise coming from other acoustic waves and turbulentconvection. Nevertheless, we have identified and examined many excitation events withcircular-shaped wave fronts, similar to those shown in Figure 2.

The propagating wave fronts can also be detected on time-distance diagrams, obtainedby plotting the density perturbations averaged over a range of angles for different dis-tances from vortex location. Figure 3 shows two examples of acoustic wave propagation insuch time-distance diagrams. The diagrams show normalized density fluctuations. Thelight inclined ridges correspond to the acoustic waves. Wave speed is on average 8 –14 km/s, but may vary due to background convective flows. In some cases, we see se-quences of acoustic waves (Figure 3b), when several wave fronts are produced within≃ 2− 2.5 min intervals. Our analysis shows that the excitation events depend mostly onthe distribution of the vortices and their dynamics.

The vertical vorticity distribution reveals a correlation between the excitation eventsof the acoustic waves and interactions of vortices of opposite sign (Figure 2). In thisparticular example, two local concentrations of vertical vorticity with opposite signs

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388 I. N. Kitiashvili et al.

Figure 5. Subsurface structure of vortices and surrounding flows. Horizontal plane shows thedensity distribution at the surface, streamlines show the helical behavior of flows near vor-tices, isosurfaces correspond to the positive (gray) and negative (black) vertical vorticity withmagnitude 0.045 sec−1.

Figure 6. Acoustic waves propagation through the subsurface layers. The gray scale backgroundshows the density fluctuations. Solid and dashed isolines are positive and negative vertical vor-ticity contours.

move close to each other and partially merge (annihilate) under the surface, resulting ina partial cancelation (reduction of the magnitude) of the negative vorticity. This processproduces a strong negative density perturbation at the surface (Figure 2) and in thesubsurface layers. Figure 4 shows different stages of the process of subsurface interactionof the vortices. In this process, two vortices that rotate in the opposite directions (panela) move closer to each other (panel b) and partially merge (panel c). The annihilationof vortices is often partial, without complete vanishing of the smaller vortex. In general,the vortex interaction is quite complex: turbulent flows deform the shape of the swirlsand through induction, smaller vortices get stretched around bigger ”main” vortices(Figure 5). The vortex merging process can lead to strong local density perturbations.Figure 6 illustrates the propagation of an acoustic wave through subsurface layers.

The depth of the wave excitation events (or the merging process) is within the top

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Simulation of turbulent acoustic sources in the Sun 389

0.5 Mm layer. However, more detailed investigation is needed, because the complicatedstructure and dynamics of the vortex tubes generate very complicated (entangled) wavefronts.

5. Discussion and Future plan

There is little doubt that the ‘5-min’ solar oscillations are a result of highly turbulentconvective flows in the stratified subsurface layers. The results of our simulations revealthat strong interacting vortices in the top layers of the convection zone may play impor-tant role in the excitation of solar acoustic oscillations. The vortices are often character-ized by supersonic horizontal flows and strong downflows in the vortex cores (Figure 1).The simulation results do not show a preference in direction of the vortex rotation. Thevortices are formed in the intergranular lines. They are numerous and interact with eachother. These vortex interactions in the subsurface layers are very common.

We have found that the process of interaction of the vortices with opposite-sign vortic-ity can lead to their partial annihilation, and that this lead strong density perturbationsand excitations of acoustic waves. The dynamics of vortices are complicated and mostlydepend on the structure of the surrounding convective motions. Our future plan is toinvestigate the physical properties of the acoustic sources in more detail, and use theseresults to interpret local helioseismology observations.

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