Issue 
A&A
Volume 579, July 2015



Article Number  A54  
Number of page(s)  18  
Section  Astrophysical processes  
DOI  https://doi.org/10.1051/00046361/201526005  
Published online  26 June 2015 
Wave mediated angular momentum transport in astrophysical boundary layers
Institut für Astronomie und Astrophysik, Abt. Computational Physics, Auf der Morgenstelle 10, 72076 Tübingen, Germany
email: marius.hertfelder@gmail.com
Received: 2 March 2015
Accepted: 22 April 2015
Context. Disk accretion onto weakly magnetized stars leads to the formation of a boundary layer (BL) where the gas loses its excess kinetic energy and settles onto the star. There are still many open questions concerning the BL, for instance the transport of angular momentum (AM) or the vertical structure.
Aims. It is the aim of this work to investigate the AM transport in the BL where the magnetorotational instability (MRI) is not operating owing to the increasing angular velocity Ω(r) with radius. We will therefore search for an appropriate mechanism and examine its efficiency and implications.
Methods. We perform 2D numerical hydrodynamical simulations in a cylindrical coordinate system (r,ϕ) for a thin, vertically integrated accretion disk around a young star. We employ a realistic equation of state and include both cooling from the disk surfaces and radiation transport in radial and azimuthal direction. The viscosity in the disk is treated by the αmodel; in the BL there is no viscosity term included.
Results. We find that our setup is unstable to the sonic instability which sets in shortly after the simulations have been started. Acoustic waves are generated and traverse the domain, developing weak shocks in the vicinity of the BL. Furthermore, the system undergoes recurrent outbursts where the activity in the disk increases strongly. The instability and the waves do not die out for over 2000 orbits.
Conclusions. There is indeed a purely hydrodynamical mechanism that enables AM transport in the BL. It is efficient and wave mediated; however, this renders it a nonlocal transport method, which means that models of a effective local viscosity like the αviscosity are probably not applicable in the BL. A variety of further implications of the nonlocal AM transport are discussed.
Key words: accretion, accretion disks / hydrodynamics / instabilities / waves / methods: numerical / stars: protostars
© ESO, 2015
1. Introduction
One ubiquitous phenomenon in astrophysics is the accretion of matter on a central object via an accretion disk. This process can be observed for a variety of central objects, such as young stars, compact objects like white dwarfs or neutron stars, and active galactic nuclei. The physics of the accretion disk itself is reasonably well understood. However, the tiny region where the accretion disk connects to the star is still one of the major problems. In this region, called the boundary layer (BL), a smooth connection is established between the disk, which rotates nearly at Keplerian frequency, and the star, which in general rotates much more slowly. It is of great dynamical and thermal importance since the gas undergoes a supersonic velocity drop in a very confined region of a few percent of the stellar radius and loses up to one half of the total accretion energy during that process (Kluźniak 1987).
The BL has been studied extensively for over 40 years, both in an analytical (e.g. Bertout & Regev 1992) and a numerical approach (e.g. Kley & Hensler 1987). Simulations involving the BL around a young star have been performed by Kley & Lin (1996, 1999), including full radiation transport. Most of the work that has been done on the BL (see e.g. Hertfelder et al. 2013, for a brief review of the history) assumes that the gas first slows down in the equatorial plane of the disk and then spreads around the star. This is the classical picture of the BL. However, there is an alternative theory called the spreading layer (Inogamov & Sunyaev 1999, 2010), which was initially developed for neutron stars. Within this concept the gas first spreads around the star because of the ram pressure in the BL and then slows down on the whole surface of the star.
The majority of the simulations of the BL start from the premise that the observed angular momentum (AM) transport in the BL is driven by local turbulent stresses and the authors consequently adopt a αviscosity model (Shakura & Sunyaev 1973) in their simulations. Sometimes the classical αmodel is modified slightly in order to prevent supersonic infall velocities (Kley & Papaloizou 1997) or, for instance, to take into account the radial pressure scale height in the BL (Popham & Narayan 1995). The utilization of a local viscosity model was later justified for the disk by the discovery of the magnetorotational instability (MRI) which creates turbulence that acts like a genuine viscosity on macroscopic scales (Velikhov 1959; Chandrasekhar 1960; Balbus & Hawley 1991, 1998; Balbus 2003; Balbus & Lesaffre 2008). However, as pointed out by Godon (1995) and Abramowicz et al. (1996) and recently shown by Pessah & Chan (2012), if the angular velocity increases with radius, dΩ / dr> 0, the MRI is effectively damped out and the associated AM transport oscillates about zero. Since this situation clearly applies for the BL, we do not expect to obtain sufficient AM transport through the MRI. There have been various alternative transport mechanisms proposed, among them the KelvinHelmholtz instability (Kippenhahn & Thomas 1978), the baroclinic instability (Fujimoto 1993), and the TaylerSpruit dynamo (Tayler 1973; Spruit 2002; Piro & Bildsten 2004), none of which have yet been proven to efficiently transport mass and AM in the BL.
In this work, we will focus on the AM transport in the BL through nonaxisymmetric instabilities and therefore carry out 2D simulations in the midplane of the stardisk system using cylindrical coordinates. Recently, a promising candidate for the transport has been proposed and investigated in a series of papers. According to this theory, the steep velocity drop in the BL is prone to the sonic instability (Glatzel 1988; Belyaev & Rafikov 2012), which is an instability of a supersonic shear layer, much like the PapaloizouPringle instability (Papaloizou & Pringle 1984; Narayan et al. 1987). Acoustic waves are excited in the BL as a consequence of the sonic instability and AM can be transported by these modes in an efficient way. This has been demonstrated for 2D flows (Belyaev et al. 2012), 3D flows in cylindrical coordinates (Belyaev et al. 2013a), and even for 3D magnetohydrodynamical flows (Belyaev et al. 2013b). The wave mediated AM transport implies that this process is intrinsically nonlocal since the waves can potentially travel a long way before they dissipate and release the AM to the fluid. Therefore, it is problematic to describe the AM transport in the BL by means of a local viscosity like the αmodel. Although the abovementioned simulations are already quite sophisticated, the authors make some simplifications that constrain the validity of their models. This is the point where we step in with this paper and relax three of the simplifications made. First, we make use of a realistic equation of state instead of an isothermal one and propagate the temperature of the system, as well. We use full radiative diffusion in the disk plane and an approximation for the vertical flux, and hence employ a quasi3D radiation transport. Second, we use realistic, stateoftheart initial models like those already published in Hertfelder et al. (2013) as a starting point for the simulations presented here. Third, mass constantly enters the simulation domain from the outer boundary and thus there is a net mass flow through the disk, as is the case for a real accretion disk. Because of the high computational costs the treatment of the radiation brings with it, we perform 2D simulations and do not yet include magnetic fields. Thus, the next steps will be to extend the simulations presented here to 3D and also to include magnetic fields.
The paper is organized as follows. In Sect. 2, the basic physical model is described. We give an overview of the equations used for our simulations and present the assumptions we have made. Furthermore, we briefly review how the AM transport due to stresses in the fluid can be measured and quantized. Section 3 is devoted to the numerical method that we employ in our simulations. We discuss the numerical code, the initial and boundary conditions, as well as the model parameters. In Sect. 4 we start the analysis of the results. We first discuss the sonic instability and the acoustic modes that are excited in the BL. Then, in Sect. 5, we investigate how these instabilities affect the physical picture of the BL and look deeply into the AM transport and longterm behavior of our models. We conclude with Sect. 5.
2. Physics
In this section, we present the physical foundations for the simulations we have performed and that are described later in this publication. In order to investigate nonaxisymmetric behavior in the disk plane, we utilized the vertically integrated NavierStokes equations. Since the focus of our current work lies on instability developing in the BL, we describe the flow of a perturbed, compressible fluid and also the derivation of the resulting Reynolds stresses.
2.1. Twodimensional equations for a flat disk
In order to obtain a set of 2D NavierStokes equations including radiation transport, we apply a cylindrical coordinate system with coordinates (r,ϕ,z) and integrate the 3D equations over the vertical coordinate z. The star lies in the center of the coordinate system and the midplane of the disk coincides with z = 0. If we assume a Gaussian profile for the mass density ρ, we can define the 2D surface density by (1)where we introduce the effective pressure scale height H, which is a measure of the vertical extent of the disk. Under the assumption of hydrostatic balance and an isothermal equation of state in the zdirection, the pressure scale height reads (2)with c_{s} and being the midplane soundspeed and the Keplerian angular velocity, respectively. The inverse of Ω_{K}(R_{∗}) is proportional to the period of a Keplerian orbit at the surface of the star, P_{∗} = 2π/ Ω_{K}(R_{∗}). Derivatives with respect to z are neglected, as is the zcomponent of the velocity, u_{z}. Clearly, this is not a reasonable assumption if one wants to investigate the overall structure of the BL. However, it is still justified since we restrict ourselves to the study of nonaxisymmetric flow structure in this work.
The vertically integrated continuity equation reads (3)We express the momenta equations in terms of the conservative variables and introduce the radial momentum density s = Σu_{r} and the angular momentum density h = Σru_{ϕ} ≡ Σr^{2}Ω. These variables reflect the physically conserved quantities, as opposed to the primitive variables u_{r} and u_{ϕ}. The conservation of momentum in radial direction is then given by (4)and the equation in azimuthal direction reads (5)Here p denotes the vertically integrated pressure p = ΣR_{G}T/μ, where R_{G} = k_{B}/m_{H} with Boltzmann’s constant k_{B} and the mass of hydrogen m_{H}, T is the temperature, and μ is the mean molecular weight; Φ = − GM_{∗}/r is the gravitational potential (G and M_{∗} are the gravitational constant and stellar mass). The components of the vertically integrated viscous stress tensor, σ_{ij}, can be found in e.g. Masset (2002). The equation for the conservation of energy is given by
where σ_{SB} and T_{eff} are the StefanBoltzmann constant and the effective temperature, and the factor H follows from the vertical integration.
The last line of Eq. (6) incorporates the radiative flux in the fluxlimited diffusion approximation, (7)Utilizing this approach, we assume that the BL is optically thick both in the radial and vertical directions, where the inclusion of a fluxlimiter also allows for the treatment of optically thin regions. Equation (7) has exactly the same mathematical form as molecular heat conduction in a gas. The effective radiative conductivity K_{R} is (8)where κ_{R},a, and c are the Rosseland mean opacity, the radiation constant and the speed of light, and λ is the flux limiter (Levermore & Pomraning 1981; Levermore 1984). We adopt the formulation given by Kley (1989) for λ. We assume that the disk locally radiates like a blackbody of temperature T_{eff} and associate the vertical flux with the blackbody luminosity divided by the radiating area, . The factor 2 in Eq. (6) stems from the fact that the disk has two sides. The vertical flux provides the cooling of the disk, while the other parts of the energy equation generate heat through viscous dissipation (second line in Eq. (6)) or redistribute it in the disk plane (the terms with F_{r} and F_{ϕ}). The effective temperature T_{eff} is evaluated according to Hubeny (1990), who approximates the optical depth in the vertical direction of the disk (see Sect. 5.3). By approximating the flux in the vertical direction as well, we employ a quasi3D radiation transport.
We also adopt a piecewise prescription for the Rosseland mean opacity, where in each temperature regime κ_{R} is given by a powerlaw approximation, κ_{R} = κ_{0}ρ^{a}T^{b}, as described in Lin & Papaloizou (1985) and Bell & Lin (1994). Each of the regimes is characterized by a prevailing mechanism that dominates the opacity in this region. The parameters κ_{0},a, and b for the various opacity regimes are listed in e.g. Müller & Kley (2012).
2.2. Viscosity
In the simulations presented here, we strictly distinguish between the BL and the disk with regard to viscosity. As has already been mentioned in Sect. 1, the AM transport in the disk is mainly driven by turbulent stresses due to the MRI and can therefore be parametrized with the classic αviscosity approach by Shakura & Sunyaev (1973). The effective kinematic viscosity is written as (9)in this ansatz, where α is a dimensionless parameter whose value is derived from MRI simulations. The cause of the AM in the BL and its investigation is, however, the subject of this work. Consequently, we do not make use of an additional viscosity term in the BL region. The entire AM transport in the BL is therefore due solely to the Reynolds stresses exerted by the gas.
From a numerical point of view, the distinction between the BL and the disk is made by searching for the global maximum of the radial angular velocity profile, Ω(r_{max}) = Ω_{max}. This has to be done for every angle ϕ in order to prevent a suppression of nonaxisymmetric perturbations. We can then computationally realize the viscosity as pointed out above by utilizing the following conditions:

if r<r_{max}, we set α = 0 in Eq. (9) and no viscosity is applied (BL region);

if r>r_{max}, α is set to the default value, α = 0.01, and the viscous stress tensor does not vanish (disk region).
2.3. Reynolds stresses
Gas flows in general can be characterized by a laminar bulk flow with superimposed perturbations. One typical approach is to decompose the flow variables f into an averaged or filtered part and a fluctuating or subfiltered, unresolved part f^{′}: (10)Within the classical Reynolds approach, the averaging is performed over an ensemble of systems, thus is an ensemble mean. In the case of a statistically steady or stationary flow field, or when it is homogeneous, ergodicity can be assumed. This means that both a sufficiently long time average over many time scales and a spatial average over many length scales correspond to the ensemble mean. Often, practical flows are inhomogeneous and the ensemble mean is replaced by a time average: (11)If, on the other hand, there is a symmetry in at least one direction, as there is in our case, a spatial average is also a viable solution.
The actual average process in the Reynolds decomposition is a simple arithmetic mean over space or time (see Eq. (11)). A more common approach in the case of compressible flows, however, is to use a densityweighted Reynolds average for the filtered part of the variables (Gatski & Bonnet 2013; Peyret 1996; Balbus & Papaloizou 1999). These densityweighted, or Favre variables are given by a decomposition, which reads (12)where the bar denotes a Reynolds average and the tilde a Favre average.
After performing a decomposition (of any kind) of the flow field, one can then derive the NavierStokes equations for the mean or resolved field. They are called the Reynoldsaveraged NavierStokes (RANS) equations, or, in the case of a Favre mean, the Favreaveraged NavierStokes (FANS) equations (e.g. Gatski & Bonnet 2013; Peyret 1996). Those mean field equations contain additional terms, however, that are dependent on the fluctuating part of the flow variables. In many engineering applications where simulations of the mean field are performed, those parts are unknown and have to be dealt with by using appropriate closure relations or models. Here, on the other hand, we are running direct numerical simulations and solve for the actual values of the flow field variables. From these simulations, we can compute the additional terms, which appear in the averaged equations.
From the FANS equations, we obtain the Reynolds stresses exerted by the fluctuating motion of the gas. For accretion disks, the dominant contribution is given by (13)where we have already performed a vertical integration. The quantity R_{rϕ} appears in the angular momentum Eq. (5), where it adds to σ_{rϕ}. We note that for the second part in Eq. (13), it is incorrect to use either the mean values of the laminar flow (i.e. the initial values, when starting from a relaxed model) or assume . Our simulations showed that the instabilitydominated state has other mean values than the laminar flow state, and that both terms in Eq. (13) are approximately of the same order of magnitude. Our simulations also showed that for the quasistationary state both temporal and azimuthal averaging procedures yield the same mean values since the evolution of the BL is significantly slower than an orbital period. Therefore, we mostly used azimuthal averaging for the mean values since it is computationally far less expensive.
The vertically integrated Reynolds stress, which has the dimensions of a 2D pressure, can be expressed by a dimensionless parameter α_{Re} via (14)Comparing the strength of the Reynolds stresses and the viscous stresses, we can identify R_{rϕ} = − σ_{rϕ} and calculate an effective viscous α_{ν} from this equation. This relation is given by (15)where ℓ is the turbulent scale height in the BL, which is approximated to be the smaller of the disk scale height H and the radial pressure scale height (see Papaloizou & Stanley 1986; Popham & Narayan 1995).
2.4. Transport of mass and angular momentum
The mass and AM transport in the disk are two important quantities when we are interested in the effectivity of the Reynolds stresses in the BL. Both result from the 1D stationary hydrodynamic equations, where they play the role of eigenvalues. The mass flux is obtained from the continuity equation and reads (16)The angular momentum flux follows from the momentum equation in azimuthal direction and is given by (17)Most commonly, the AM flux is expressed as a dimensionless parameter j, which is the AM flux normalized to the advective AM flux at the surface of the star: (18)Either flux is defined such that if mass or AM are traveling outward, Ṁ and are positive. The three terms in Eq. (17) can be identified as the advective AM transport, the viscous transport, and the transport due to Reynolds stresses. Both Ṁ and j are constant with respect to space and time only if the system has reached a stationary state, i.e. ∂/∂t = 0. Then, Ṁ equals the imposed mass flux that is set as a boundary condition. For nonstationary states, Ṁ and j represent the local mass and AM flux at a certain time.
3. Numerics
3.1. General remarks
We used the code fargo (Masset 2000) with modifications of Baruteau (2008) for the simulations presented in this paper. fargo is a specialized hydrodynamics code for simulations of an accretion disk in cylindrical coordinates (r,ϕ) that exploits the advantages of the FARGO algorithm (Masset 2000). The FARGO algorithm is a special method for the azimuthal transport in differentially rotating disks that is able to speed up the simulations by up to one order of magnitude and exhibits a lower numerical viscosity than the usual transport algorithm. The speedup works best when the velocity perturbations are smaller than the bulk flow in azimuthal direction. Since the average azimuthal velocity changes significantly in the course of the simulations, the background rotational profile for the FARGO algorithm is updated at each time step in order to gain full benefit of the method. The algorithm has also been shown to produce valid results when shocks are created in the disk (Masset 2000). The radiative diffusion in the fluxlimited approximation (Eq. (7)) is solved implicitly using a successive overrelaxation (SOR) method (see Müller & Kley 2013). The code has been tested and used extensively for a variety of applications. In order to verify its suitability for simulations of the BL, we compared it to the 1D BL code described in Hertfelder et al. (2013) and found a perfect agreement for the 1D models.
3.2. Boundary and initial conditions
To model the BL with a net mass flow through the disk we have implemented specific boundary conditions in fargo. At the outer boundary we impose a mass flux Ṁ which goes into the disk and whose absolute value can be chosen as a parameter. We require the azimuthal velocity to be Keplerian at the outer boundary, u_{ϕ}(r_{out}) = r_{out}Ω_{K}(r_{out}). Modeling the inner boundary, i.e. the beginning of the star, is more difficult. Since we are treating the problem in cylindrical geometry in the disk plane, we cannot simultaneously simulate the outer parts of the star. Therefore, we start the simulation domain of all our simulations at r_{in} = 1R_{∗}, where R_{∗} is the radius of the chosen star, and set the azimuthal velocity to the velocity of the rigidly rotating star, u_{ϕ}(r_{in}) = R_{∗}Ω_{∗}, i.e. we impose a noslip boundary condition in ϕdirection. The radial velocity is set to a certain fraction ℱ of the Keplerian velocity (19)This is obviously an outflow BC for the radial velocity at the inner boundary and it is necessary since the matter which is inserted in the domain from the outer boundary must be allowed to leave again at the inner boundary. The factor ℱ determines how deep the inner boundary r_{in} is located inside the star: the smaller ℱ is, the deeper the domain ranges into the star. The actual choice of ℱ is a tradeoff between containing a sufficient part of the stellar envelope in the domain and avoiding densities and temperatures that are too high at the inner boundary to prevent the simulations from being slowed down too much. A value of ℱ = 10^{6} is used in our simulations. We have tested different values of ℱ and found that it does not have any influence on the initial models apart from shifting the radial profiles by a small amount in r. In particular, it does not have an effect on the mass flux through the inner boundary once the initial model is in an equilibrium state. Instead, the density adjusts such that Ṁ at the inner boundary equals the value at the outer boundary. Apart from the special boundary treatment mentioned above, we impose zerogradient or Neumantype boundary conditions for the remaining variables, which means that the normal derivative at the boundary vanishes.
The 2D simulations were started from fully relaxed 1D axisymmetric BL models which were generated using the same methods as in Hertfelder et al. (2013). Those simulations use a classical αparametrization for the viscosity with a uniform value of α = 0.01 both in the disk and the BL. We employed these models to have realistic profiles for the density and temperatures as initial conditions. After the 1D models reached a stationary state we extended them to 2D input data for fargo and ran them again with a small number of azimuthal cells until they were fully relaxed. Following this burnin procedure we started the actual simulations from these axisymmetric initial conditions with full resolution in r and ϕ. Prior to the start, the radial velocity was randomly perturbed by 1% of the Keplerian velocity at the surface of the star. The initial profiles are shown in Fig. 10 below (dashed lines).
3.3. Model parameters
In this paper we focus on the nonaxisymmetric instabilities and the AM transport in the BL. We chose the physical system of a BL around a young star, because the ratio of the mass and the radius of the star, M_{∗}/R_{∗}, is much smaller than, for instance, for a white dwarf, which we considered in a previous paper about the BL. This ratio determines the radial scale height in the BL and the smaller H is, the higher the resolution must be in order to resolve the BL correctly. Therefore, the computational costs increase enormously when one goes to more compact objects. However, we expect what we find here to be the generic case.
The young star we consider in this paper has one solar mass, M_{∗} = M_{⊙}, and is three times the radius of the sun, R_{∗} = 3 R_{⊙}. It has an effective temperature of T_{∗} = 3000 K which yields a luminosity of 3 L_{⊙}. The star is not rotating, i.e. Ω_{∗} = 0, which is slightly below the observations (Cohen & Kuhi 1979), but was chosen for the sake of a large velocity drop. We impose a mass accretion rate of Ṁ = 10^{6}M_{⊙}/ yr, which is a typical value for T Tauri stars such as HL Tau (Hayashi et al. 1993; Lin et al. 1994), and is two orders of magnitude smaller than the accretion rate FU Orionis stars can reach in outburst phases (Hartmann et al. 1993). We took α = 0.01 for the viscosity parameter in the disk and α = 0 for the BL (see Sect. 2.2). We consider the following four simulations for this work.

Simulation A: it has a resolution of512 × 512 and the radial domain ranges from R_{∗} to 2R_{∗}. This simulation features the lowest resolution of all runs performed.

Simulation B: this is the reference simulation, and unless stated otherwise, we always refer to it in the text. It has a simulation domain of [R_{∗},2R_{∗}] and a resolution of 1024 × 1024.

Simulation C: here, the number of grid cells is doubled in each direction and hence the resolution is given by 2048 × 2048. The simulation time for this resolution is very high and we are not able to study the longterm evolution for this run.

Simulation D: in order to ensure that the radial domain in simulations AC is not too small, we increased it to [R_{∗},5R_{∗}]. While the first three simulations utilized an arithmetic grid, we chose a logarithmic spacing in radius for this run along with a resolution of 1024 × 1024.
4. Boundary layer instability
In this section, we will summarize the key features of the sonic instability and its associated acoustic waves in the BL (Glatzel 1988; Belyaev & Rafikov 2012; Belyaev et al. 2012, 2013a) and demonstrate that our models are also prone to the sonic instability.
4.1. Sonic instability
The sonic instability arises in supersonic shear flows and is a nonlocal instability similar to the PapaloizouPringle instability (Papaloizou & Pringle 1984; Narayan et al. 1987; Glatzel 1988). It is the analogue of the classical KH instability in the regime of a supersonic drop in the velocity of a compressible, stratified fluid. The sonic instability has recently been studied in the context of the BL extensively by Belyaev & Rafikov (2012).
There are two ways by which the sonic instability operates: The first is the overreflection of sound waves from a critical layer that corresponds to the corotation resonance in a rotating fluid, i.e. the radius where the pattern frequency of the mode matches the rotation frequency of the bulk flow. This mechanism results in a dispersion relation that features several sharp peaks and hence discrete modes are clearly favored, especially if the density contrast across the shear interface is high (see e.g. panel (n) of Fig. 3 in Belyaev & Rafikov 2012). Each mode can be associated with a pseudoenergy, or conserved action (angular momentum), which can leak through the critical layer when a mode is reflected at the corotation resonance (Narayan et al. 1987). The tunneled wave has the opposite sign of the action and, since it is a conserved quantity, the reflected wave must undergo an increase in its action in order to globally compensate for the additional negative action. Thus, the reflected wave is amplified. Furthermore, if a mode is trapped such that it performs multiple reflections at the corotation resonance, this amplification mechanism, called the corotation amplifier (e.g. Mark 1976), eventually leads to instability.
The other destabilizing mechanism is the radiation of energy away from the BL. If a mode inside the BL has a negative action density, it becomes even more negative through the radiation mechanism and, consequently, is amplified, which results in further instability. The dispersion relation of this destabilizing mechanism is a smooth function of the wave vector. Therefore, a continuum of modes are associated with it. This mechanism dominates the overreflection for a small density contrast on either side of the interface (see again Fig. 3 of Belyaev & Rafikov 2012).
Each mechanism, the overreflection and the radiation, is most efficient in the regime of large density contrast or equal density, respectively, and they operate together. The growth rates of the sonic instability are approximately 1 /P_{∗}, and the dependence of the growth rate on the density contrast is small, despite the different destabilizing mechanisms. This further distinguishes the sonic instability from the KH instability. In the numerical simulations of the BL, a very high numerical resolution is necessary to correctly reproduce the growth rate of the sonic instability. Such a high resolution is computationally very demanding and costly, especially for investigations of the longterm evolution of the BL. However, as has been shown by Belyaev & Rafikov (2012) and revisited in Belyaev et al. (2012), a lower resolution merely leads to a slower growth of the instability.
Fig. 1
Total radial kinetic energy as a function of the very first orbits for three simulations mentioned in Sect. 3.3, which differ only in their spatial resolution. At around orbit 5, the sonic instability starts to operate in all three cases, and as a result, the radial kinetic energy rises rapidly. The growth rates were obtained by applying an exponential fit to the first exponential increase. 
We confirm this point by comparing the growth rates of three simulations with different spatial resolution. Figure 1 shows the evolution of the radial kinetic energy when the sonic instability starts to set in for the three resolutions 512 × 512, 1024 × 1024, and 2048 × 2048. Indeed, the simulation with the lowest spatial resolution underestimates the growth rate by a factor of ∼1.8. However, the simulations with 1024^{2} and 2048^{2} cells both yield an almost identical growth rate of 1.09 per orbit. The shear layer with positive gradient of Ω is initially resolved with approximately 150 and 300 cells in radial direction, respectively. In simulation A, we only have about 75 cells across the velocity drop. We also verify by Fig. 1 that the growth rates of the sonic instability, which are of the order of 1 per orbit, are actually very high. We will now focus again on our reference simulation, although all simulations behave basically the same. After about ten orbits, the rise of the radial kinetic energy is interrupted briefly and then continues with a slightly different growth rate. The paused increase in the instability and the change in growth rate is due to the change in density and velocity in the shearing region with time. Since the mass inside the BL is delivered from the disk, the density in the vicinity of the velocity drop rises. The velocity itself changes as a result of the initiated angular momentum transport. As has already been mentioned and is elucidated in Belyaev & Rafikov (2012), the growth rate of the sonic instability shows a weak dependence on the density ratio and the modes depend on the slope of the velocity drop, as well. Thus, a change in the instability mechanism can be observed at this time.
Fig. 2
rϕ plot of the radial velocity in units of u_{K}(R_{∗}) at t = 5a) and t = 10b) orbits. The velocity in the upper panel, a), has been multiplied by a factor of 2 in order to use the same colormap as below. Both snapshots show the linear stage of the sonic instability and the middle branch in action. The sound waves are propagating toward the inner and the outer edge of the domain in an oblique fashion. The three black lines in panel b) illustrate the wavefronts. The arrows denote the direction of the unperturbed azimuthal flow. 
We now have a closer look at how the sonic instability manifests itself in the radial velocity and consider Fig. 2 for this purpose. The upper panel is a snapshot taken after five orbits and the lower panel shows u_{r} at t = 10 orbits. In both panels, the velocity is normalized to the Keplerian velocity at the surface of the star. Figure 2a features a distinct boundary at r_{crit} ≈ 1.19, which coincides with the inflection point in Ω(r) and we can clearly see sound waves on either side, propagating away from the boundary. The pattern speed equals the rotation rate of the unperturbed flow at the location of the boundary and thus we associate it with the critical layer, or corotation resonance, which we have already introduced. It is also clearly noticeable that the modes undergo a phase shift across the critical layer. Both features are a clear signature of the sonic instability and we can compare Fig. 2a to Fig. 2 of Belyaev et al. (2012) and Fig. 5a of Belyaev & Rafikov (2012) to verify that our model is indeed unstable to the sonic instability.
Figure 2b depicts the radial velocity five orbits later and the appearance has already noticeably change. The amplitude of the sound waves in the lower panel is at least a factor of 2 larger than that in the upper panel and amounts to a large percentage of the azimuthal velocity. The picture shows a distinct pattern of wave front crossings and reflections for r<r_{crit} and the critical layer at r_{crit} = 1.19 has already begun to smear out at this point in time. When the color scale is saturated we recognize three regions where the amplitude of the waves is dropping owing to the wave fronts crossing each other. They lie at r ≈ 1.16,1.12, and 1.07. Inside the corotation resonance, the waves are reflected near the inner boundary and at the critical layer, and are thus trapped between the two radii. We have traced three wave fronts with the black lines to illustrate the pattern that is exactly the overreflection mechanism that we have already elucidated. The pattern number of the sonic instability (15 for the simulation shown in Fig. 2) does not depend on details of the inner boundary condition. This has been verified by running the same simulation with identical perturbations with modified boundary conditions, where all variables are kept at their initial values for all time (“donothing” BCs). The pattern number is, instead, set by the initial random perturbation. For a different seed of the initial perturbations the pattern number will be different. When the trapped waves undergo a reflection at the critical layer, part of the wave action leaks through the critical layer and has the opposite sign compared to the reflected wave, whose amplitude grows as a consequence of the global conservation of wave action. Thus, the whole process is selfsustaining and even grows with time. The leakage of wave action is also clearly visible in Fig. 2b for r>r_{crit}. Now the reason for the change in the growth rate of the sonic instability after about ten orbits (see Fig. 1) becomes apparent: It is simply the overreflection mechanism setting in, gaining in strength, and growing dominant.
4.2. The BL modes
In Sect. 4.1 we described the linear growth regime of the sonic instability and analyzed its manifestation in our models. After only 20–30 orbits the sonic instability saturates and the system remains in the excited state with a radial kinetic energy that is approximately three orders of magnitude larger than before the sonic instability set in. There are still considerable variations in the radial kinetic energy (see Fig. 6); however, we suggest that they a result of a secondary KH like instability that sets in periodically and dies out shortly after. This theory is examined thoroughly in Sect. 5.2.
After the sonic instability has saturated we observe waves that are acoustic in nature propagate through the largest part of the domain. Those modes have been excited by the sonic instability and do not die out for the whole simulation time, which amounts to over 2000 orbits. Considerable effort has been expended by Belyaev & Rafikov (2012) and Belyaev et al. (2012, 2013a) in order to analyze these acoustic modes by means of linear stability analysis and derive proper dispersion relations. Since this undertaking is quite involved we limit ourselves to reviewing those elements that are crucial for the understanding of our results.
One finds that the acoustic modes of the BL are related to the waves in a plane parallel vortex sheet in the supersonic regime (Belyaev et al. 2013a). For a discontinuous drop of velocity in the isothermal vortex sheet in absence of stratification or rotational effects it can be shown that the linearized Euler equations yield three different expressions for the dispersion relation ω, which are denoted the lower, middle, and upper branch (Belyaev & Rafikov 2012). The three branches differ in the direction of propagation of the modes on either side of the interface (velocity drop) and their general appearance is depicted in Fig. 4 of Belyaev et al. (2013a). The lower and upper branch are very similar to each other. They both show a region where the waves propagate parallel to the interface and a region where the wave vector forms an angle between 0 and π/ 2 with respect to the normal vector of the interface. Transferred to the formalism of our models, the modes of the lower branch propagate purely in ϕdirection in the BL and both in r and in ϕ in the disk, where k_{r}/k_{ϕ} ≫ 1, however. For the upper branch, the opposite applies. Modes of the middle branch propagate in an oblique manner both in the disk and in the BL with the same wave vector. Furthermore, the waves undergo a phase shift of π at the interface. This holds true for all branches. The dispersion relations of the three branches of the vortex sheet can then be extended by including radial stratification and the effects of rotation (Coriolis force) and one can find approximate dispersion relations for a more realistic case of a BL. This was done in Belyaev et al. (2013a) for the isothermal BL. It would be interesting to see how a realistic equation of state and the radiation transport affect the dispersion relations. However, this is beyond the scope of this paper.
Fig. 3
Twodimensional plot of the radial velocity u_{r} at t = 45 orbits. The direction of the unperturbed flow is from bottom to top, i.e. in the direction of growing ϕ. The dashed white lines are contour lines of the azimuthal velocity at the levels 0.15,0.3, and 0.7 (from left to right). All velocities are given in units of u_{K}(R_{∗}). The radial velocity develops a pattern with vortices in the BL and shocks at the top of the BL. This pattern most likely resembles the lower branch of the acoustic modes discussed in Belyaev et al. (2013a). 
Figure 3 is a rϕ plot of the radial velocity after 45 orbits. Three white dashed contour lines of the azimuthal velocity u_{ϕ} have been overdrawn. All velocities are, as usual, given in units of the Keplerian velocity at the surface of the star. The image shows a standing wave in azimuthal direction for radii ≲1.17 and a wave that propagates into the disk with wave vector components in both r and ϕdirections. Additionally, the amplitude of the wave changes sign at r ≈ 1.17, i.e. the phase is shifted by π/ 2. This pattern is a clear signature of the lower branch of the acoustic modes, which we can observe in action here. The contour lines of u_{ϕ} reveal that the interface between the disk and the BL, or in other words the region where the velocity starts to deviate substantially from Keplerian, is strongly deformed. The deformation of the interface is evidently due to the large scale vortices that reside at the base of the BL (see Fig. 3). At r = 1.2 the sound speed amounts to ∼8% of the Keplerian velocity, whereas the gas rotates with 70%u_{K}(R_{∗}). Therefore, the azimuthal motion is still nearly ten times super sonic and information about the interface deformation cannot propagate upstream. Hence the oblique shocks, which are clearly visible in the radial velocity, have developed. The whole system described above rotates in a prograde way with a pattern speed of Ω_{p} = ω/m, where ω is the oscillation frequency in the inertial frame and m the azimuthal wavenumber. For the episode described here (orbit 45), Ω_{p} ≈ 0.3.
The waves of the lower branch, which we find almost exclusively in our simulations, are tightly wound with a leading spiral and we expect kr/m ≫ 1, where k and m are the radial and azimuthal wave numbers, respectively. Therefore, one can apply the WKB approximation and assume perturbations of the form (20)A linear stability analysis for a fluid disk with a polytropic equation of state then yields the dispersion relation (21)where is the epicyclic frequency and ω/m = Ω_{p} (Binney & Tremaine 2008). Of course, Eq. (21) is only an approximation to the dispersion relation of the waves in our fully radiative disk. However, it will mainly be used to explain the wave dynamics in the disk. Furthermore, the WKB approximation is no longer valid in the BL where we have seen that kr ≈ 0. In the disk we can assume a Keplerian rotation profile, Ω ∝ r^{1.5}, and consequently the epicyclic frequency is real. Therefore, there is a region around the corotation resonance Ω = Ω_{p}, flanked by two Lindblad resonances Ω = Ω_{p} ± κ/m, where k is imaginary and the waves are evanescent. Formally, according to Eq. (21) the wave number k becomes zero at the Lindblad resonances. However, the WKB approximation breaks down at these points since the assumption kr/m ≫ 1 is no longer valid. Since the whole pattern of waves and interface deformations rotates with a pattern speed 0 < Ω_{p}< 1, there are two corotation resonances, one in the BL and one in the disk, either of them flanked by two Lindblad resonances. Assuming the disk rotates with Keplerian frequency, we can easily derive the corotation and Lindblad resonance, which are then located at and r_{Lind} = (Ω_{p}m/ (m ± 1))^{− 2 / 3}. The waves or the weak shocks we discussed earlier launched at the BL now propagate into the disk until they reach the Lindblad resonances, where they are reflected and propagate back toward the BL. In the BL the waves might be reflected by Lindblad and corotation resonances as well; however, Eq. (21) is not applicable there. Through this process of consecutive reflections the waves can become trapped between the BL and the disk.
This idea of the trapped modes has been proposed by Belyaev et al. (2012) and was indeed observed in their simulations. In Fig. 3 we do not find such clear evidence for reflected shocks. Reflection of the wave depends, however, on whether the modes are absorbed before they reach the evanescent region in the disk. We observe that the modes in our simulation can only travel until r ≈ 1.5 before they are substantially damped by shocks, radiation, or viscous damping due to the αviscosity applied in the disk (see Sect. 2.2). We have run simulations with larger domains in order to investigate a possible influence of the outer boundary on the reflection of the waves. These test runs confirm the early damping of the waves observed in the simulations presented in this work. The effective viscosity in the disk is likely to play a major role in this damping process. The actual interaction between the waves and the MRI turbulence in the disk can, however, only be investigated in real MHD simulations.
Fig. 4
rϕ plot of the radial velocity a) and the azimuthal velocity b) at t = 173 orbits. Both quantities are given in units of u_{K}(R_{∗}). The dashed white lines in both plots trace the contour of u_{ϕ} = 0.15 and 0.6 (from left to right). The direction of the unperturbed flow is from bottom to top. The images have been taken at a high activity state and the strong shocks in u_{r} and the heavy deformation of the interface (see b)) are clearly visible. 
In Fig. 4 we plot the velocities u_{r} and u_{ϕ} as a function of (r,ϕ) at t = 173 orbits, a more energetic state than the one depicted in Fig. 3 (see Fig. 6 below). It is immediately apparent that the state at t = 173 orbits is far more violent than the situation shown in Fig. 3. The amplitude of the radial velocity has increased by a factor of 2 and the shocks have grown more intense and vigorous. While the general pattern of the radial velocity remains unchanged and still constitutes the lower branch with the vortices at the base of the BL and the outgoing waves at the top of the BL, the wavefronts are now heavily deformed by the shocks. These shocks are a consequence of the strongly distorted interface as can be seen in Fig. 4b. The lines of constant u_{ϕ} in the rϕ space (the contours) have a wavelike shape with many irregularities and the transition from zero rotation rate to Keplerian rotation is spread over ∼ 0.2R_{∗} and has broadened considerably. Though the radial velocity is more chaotic in Fig. 4b than in Fig. 3, there is still a dominant mode visible and the azimuthal wave numbers are m = 14 and 24, respectively. As we shall see later, the angular momentum transport by the waves is very efficient in this stage.
Fig. 5
Fulldisk plot of u_{r} at t = 200 orbits. The direction of the unperturbed flow is counterclockwise. The radial velocity is given in units of u_{K}(R_{∗}). 
For completeness, in Fig. 5 we show a rϕplot of the radial velocity that spans the whole simulation domain. The snapshot was taken after 200 orbits while the system was in a quiet state. The pattern of the lower branch with its vortices at the base of the BL is clearly visible. We can also see that the waves emerging from the top of the BL are indeed tightly wound and that the spirals are leading. Figure 5 shows another azimuthal wave with m = 3 that we had not detected before, which is still a little faint is this figure. Interestingly, Belyaev et al. (2012) also find such a largescale m = 3 global mode in their full 2π simulations. The wavenumber of the highfrequency pattern at the base of the BL is given by m = 24.
The middle branch is a transient mode and dominates during the linear growth of the sonic instability. It can be observed in the early stages of the simulation and the oblique wavefronts on either side of the interface are clearly visible in Fig. 2. Both panel a) and b) show features of the middle branch, yet they are more distinct in b). The upper branch, on the other hand, might be observed during the late times of the simulations. We defer the discussion of this issue to Sect. 5.5.
5. The effects of the instabilities
In the previous section we discuss the hydrodynamical instabilities in the BL in detail. Now we show the implications of the BL instabilities and the physical results of our simulations of the radiative BL around a young star.
5.1. Temporal evolution of the BL
Fig. 6
Temporal evolution of the radial kinetic energy of our reference simulation. The time is given in units of the Keplerian orbit at r = R_{∗}, P_{∗}. The switching between quiet and outburst states described in the text is clearly noticeable. We have marked the exact times for some of the outbursts for easier comparison with the text. 
Fig. 7
Upper panel: temporal evolution of the mass accretion rate in the radial direction, Ṁ(r,t), in units of solar masses per year. It is obtained from the mass accretion rate per cell (see Eq. (16)) by integrating over the azimuthal direction. Lower panel: visualization of the AM flux normalized to the advective AM flux at the stellar surface (see Eq. (18)), which is also integrated over azimuth. We note that we applied a socalled symlog scaling for the plot, which means that we have a logarithmic scaling for both the positive and the negative values. Only in the vicinity of 0 is the scale linear. A negative value means that mass or AM is transported to the center of the disk. The phases of strong activity in the radial velocity (see Fig. 6, marked with the black dashed lines here) correspond to phases of increased mass and AM transport. The diagonal features in the upper panel are a clear signature of waves, which have alternating signs of mass transport. This sloshing behavior spreads to the AM flux (lower panel) via the advective component of j. 
Figure 6 visualizes the total radial kinetic energy, , for which we summed the radial kinetic energy of every cell in the simulation domain. For a given time, the radial kinetic energy reflects the strength of the instabilities. Therefore, we can monitor the timedependence of the instabilities by tracking E_{kin,rad}. The reference simulation shows a strongly timedependent behavior that can be characterized as a recurring series of states of outburst and quiescence. When the kinetic energy reaches a maximum, the instabilities are vigorous and the interface between the BL and the disk is heavily deformed (see Fig. 4). In the quiescence states, on the other hand, the amplitude of the velocity perturbations drops considerably, often by a factor of more than 10, and the interface deformation is less strongly pronounced. The strength of the outbursts does not follow a clear pattern. In the beginning, the outbursts get stronger, with the second outburst at t ≈ 173 orbits being the most powerful. During this outburst the amplitude of the perturbations in the radial velocity reaches over 20% of the Keplerian velocity at the surface of the star. Thus, the amplitude of the radial velocity becomes comparable to that in azimuthal direction, or even exceeds it for r ≲ 1.1. The third outburst at t ≈ 280, which is less intense than the second one, is followed by a longer period of less activity or quiescence during which some small peaks suggest the occurrence of very weak microoutbursts. After more than 500 orbits, the system starts to go through a series of outbursts again.
The high and low instability states mentioned above correspond to episodic phases of high and low activity in mass accretion and angular momentum transport, as can be seen by comparing Figs. 6 and 7. Figure 7 depicts the timedependence of the mass accretion rate, Eq. (16), and of the angular momentum transport, Eq. (17), for all radii inside the computational domain. In phases of outbursts, which are marked by the vertical dashed lines, the mass flux through the disk is higher than in the quiescence state. In certain regions, Ṁ increases by more than two orders of magnitude. In the high activity phases, Ṁ distinctly rises in the outer parts of the simulation domain as well. The angular momentum transport, j, shows a similar trend. At times of strong instability, the transport of angular momentum, which is mainly directed to the center of the disk, also grows remarkably, quite often by a factor of about 100.
Fig. 8
Velocity in azimuthal direction in units of the Keplerian velocity at the stellar surface for seven different orbits. The curves demonstrate the spinup of the gas for r ≲ 1.2 and the spindown for r ≳ 1.2 over time. 
Unlike in a stationary state where mass and AM are transported to the center of the disk (see Eq. (17)), we observe that the transport of mass does not have a preferred direction in certain regions of the simulation domain. We consider for this purpose the upper panel of Fig. 7. There is a clear boundary at r ≈ 1.2 − 1.3R_{∗}, which is approximately given by the location of the maximum of Ω and divides the rather organized, inward directed mass flux in the disk from the alternating transport in the BL, where mass is sloshing about back and forth in radius because of the passage of waves which have alternating signs of mass transport. This is clearly visible in the form of the diagonal features in the upper panel of Fig. 7. Thus, the direction of the mass transport in the BL is both a function of time and radius, and the variability with time is on the order of one orbit. After roughly 600 orbits, the strength of the mass transport ceases slightly, only gaining strength again during the subsequent outburst periods. This development matches that of the radial kinetic energy (Fig. 6) where we can also detect a change in activity starting after 600 orbits. After 1200 orbits another major change in the mass transport pattern takes place. The whole system seems to calm down and the sloshing behavior with its frequent changes in direction ceases.
The AM flux does not feature a variability as intense as the mass flux; however, the diagonal features that have also been discussed in the context of Ṁ are still present. An analysis of the individual components of j confirms that these features arise from the advective part of the AM flux, which shows a sloshing behavior similar to the mass flux. Apart from these features, j assumes mostly negative values (see the lower panel in Fig. 7), meaning that AM is transported inward. This evidence agrees with our expectations that in the disk j is negative for the reasons pointed out earlier. One very distinct feature in the graph of the AM flux is the very pronounced boundary that starts at the beginning of the simulation at r close to 1.2R_{∗} and moves inward up to r ≈ 1.025R_{∗} during the first 800 orbits. This line can be characterized by an enhanced AM flux in its near vicinity and a shift in direction from inward (r<r_{line}) to outward (r>r_{line}). Figure 8 visualizes the destination of the AM which is accumulated at this interface as a result of transport from both sides. It is spent to spin up the gas at r ≲ 1.2. Hence, the BL is broadened considerably during the course of the simulation. The AM needed for the spinup of the inner layers is extracted from the faster rotating part at r ≳ 1.2, which is, consequently, slowed down. By comparing Figs. 7 and 8, we can deduce that the AM transport is the strongest where the gradient of Ω is highest, i.e. where the shearing is strongest.
It can be recognized from Fig. 7 that AM is mostly transported inward although the mass flux is also directed outward. Especially when Ṁ> 0 and large, one would expect a considerable amount of AM to be transported outward along with the matter. Thus, one possibility for the AM flux to still remain negative is that the Reynolds part of Eq. (17) is negative and larger than the advective part (the viscous part is zero in the BL). However, an analysis of several time steps showed that very often the advective AM transport is negative and large while the mass flux is positive and large. This apparent discrepancy between the mass and the AM flux is due to an anticorrelation between the radial and azimuthal velocity. The mass accretion rate periodically points in and outward, depending on azimuth, owing to the vortices of the radial velocity. The sum of Ṁ over the whole azimuthal domain for a given radius can therefore be positive (meaning that mass is transported outward). However, according to Eq. (17), the total advective AM flux can easily remain negative if u_{ϕ} is smaller at azimuthal locations of positive Ṁ than where it is negative. This is indeed very often the case and we have picked an illustrative example to stress this point (see Fig. 9). It is a snapshot of the mass accretion rate, the radial velocity, and the angular velocity at orbit 145, where we plotted the dependence on azimuth for r = 1.12R_{∗}. The figure clearly shows that whenever Ṁ(ϕ) is positive and large, u_{ϕ}(ϕ) is small. The comparison between the radial and the azimuthal velocity reveals that the anticorrelation between u_{r} and u_{ϕ} is such that an extreme of the azimuthal velocity coincides with a root of the radial one. Therefore, the two patterns that are similar, although not perfectly equal, are shifted by one quarter of the azimuthal wavelength of the m = 7 mode at this annulus.
Fig. 9
Upper panel: mass accretion rate; middle panel: radial velocity; and lower panel: azimuthal velocity. All three quantities are plotted as functions of azimuth at the fixed radius r = 1.12R_{∗} after 145 orbits. The upper two curves are shifted in phase with respect to the lower one such that maxima in Ṁ (nearly) coincide with minima in u_{ϕ}. 
5.2. Outburst sequence
Fig. 10
Azimuthal velocity, the surface density, the pressure, and the midplane temperature for five time steps centered around the second outburst. The dashed lines denote the initial conditions of the simulations. The dashdotted line in the upper left panel gives the azimuthal velocity for pure Keplerian rotation. In the lower right panel we have included a zoomin of Fig. 6 for better identification of the exact location of the plot times. 
We now take a closer look at the cause of the periodic outbursts and the behavior of the primitive variables in the disk during such an outburst and we consider Fig. 10 for this purpose. The graphic shows the velocity in azimuthal direction, the surface density, the pressure, and the temperature in the midplane of the disk for five different times that are centered around the outburst at t = 173 orbits and are not equidistant. These time steps cover the second outburst in Fig. 6. This part of the radial kinetic energy evolution is shown as a zoomin in the lower right panel of Fig. 10.
At the beginning of the outburst, the surface density has increased quite strongly, especially in the vicinity of r ≈ 1.25 where it is almost two orders of magnitude higher than at the beginning of the simulation. This pileup of mass is a result of the fact that mass is constantly entering the BL from the outer disk, but the instabilities in the BL are not yet efficient enough to guide it all through. This situation is universal for all observed outbursts, which are preceded by a phase of quiescence during which the activity and the mass transport in the BL are not as strong as in outburst phases. Therefore, the whole process described here using the example of the first outburst can be equally applied to the other outbursts. During the accumulation of the mass just outside the BL, the azimuthal velocity profile is smooth and quasistationary. The high amount of mass leads to a high temperature and hence a high pressure, which means that u_{ϕ} is remarkably subKeplerian in the first half of the domain since the gas is stabilized by pressure.
After a sufficient amount of mass has accumulated, a runaway process sets in during which u_{ϕ} and the other quantities change very rapidly. According to Figs. 7 and 10 a great amount of mass is guided through the BL onto the star over such an outburst. The process is initiated outside the BL at about r ≈ 1.3. The gas is both accelerated and decelerated in azimuthal direction by the Reynolds stresses in and near the BL, with the boundary between the spinup and spindown region moving inward with time. Since the effect of the deceleration is much stronger, mass moves inward. As a consequence of the decreasing density, the pressure decreases and the gas is even less stabilized and can accelerate its inward movement. After the density is satisfactorily depleted, the Reynolds stresses decrease and the violent accretion process comes to an end. Then the density grows again because of the lower stresses and the azimuthal velocity is slowly regains its preoutburst profile.
The variation of the midplane temperature during the outburst phase is consistent with what we have already discussed for the other physical quantities. At the beginning, despite the decreasing density, the temperature rises for r ≲ 1.6R_{∗} and even develops a small bump around r = 1.25R_{∗}. The increase in temperature is due to the dissipation of energy through the growing Reynolds stresses and indicates the region where the energy release by the waves is largest. This radius is in agreement with what we expected from the plot of the azimuthal velocity if we also take into account that the energy is redistributed by radiative diffusion. Subsequently, the surface density drops more and more and the Reynolds stresses decrease as well. Accordingly, the temperature also drops, and even drops below the level of the initial state. After enough mass has again piled up around the BL, the temperature will rise to its preoutburst level.
The outburst sequence shown here for the second outburst of the reference simulation is exemplary for the general behavior of outbursts. What we have just discussed might be less clearly visible or even more distinct, depending on the strength of the outburst. However, the mechanism is the same throughout. From simulation C, which has a resolution of 2048 × 2048, we find that the outburst is far more violent than the one we discussed here. The azimuthal velocity frequently develops an even more pronounced local maximum and minimum for r< 1.2R_{∗} and the depletion of mass is more effective. Thus, it is possible that the instabilities become stronger with increasing resolution. The increasing strength of the outbursts might instead be due to the other modes becoming excited through the initial perturbations, as is typical for classical KH instability.
We propose the following scenario for the physical cause of an outburst such as the one described above. The radial velocity has developed weak shocks at the top of the BL. Every time a fluid element passes through that shock it is slowed down by these oblique shocks. The cumulative effect of all these shock passages leads to a decrease in the azimuthal velocity of the gas and creates a wide plateau in the velocity profile (see e.g. orbit 160 in Fig. 10). Such a flat region with a weak velocity gradient is prone to the classical KelvinHelmholtz (KH) instability, which sets in and induces the rapid changes in the BL. In absence of rotation, it follows from Rayleigh’s stability equation that a necessary condition for instability is the occurrence of an inflection point in the velocity. A stronger form of this condition was given by Fjørtoft (1950), who showed that the velocity profile not only needs to have an inflection point, but also has to satisfy the condition u^{′′}(u − u_{s}) < 0 somewhere in the flow, where u_{s} is the velocity at the inflection point. However, this requirement is only true for parallel flows. A normalmode analysis of the linearized Eulerequations of a rotating incompressible flow with zero mean radial velocity eventually yields (22)for 2D disturbances. Here, φ(r) is the amplitude of a stream function ψ^{′}(r,ϕ,t) = φ(r)exp(ωt + imϕ) such that and , where the prime denotes perturbed quantities; Z = 1 /r∂(ru_{ϕ}) /∂r is the vorticity. Equation (22) is the equivalent of Rayleigh’s equation for a rotating fluid. Rayleigh showed that if φ = 0 at two boundaries R_{1} and R_{2} enclosing the flow, a necessary condition for instability is that the gradient of Z must change sign at least once in the interval R_{1}<r<R_{2} (Drazin & Reid 2004). We take this analogue of Rayleigh’s inflection point theorem as a motivation to study the vorticity and its derivative, though Eq. (22) is clearly an idealization of the situation at hand. However, a detailed stability analysis of the RHD equations of a rotating stratified fluid is beyond the scope of this work.
Fig. 11
Derivative of the vorticity, ∂Z/∂r, as a function of radius for orbit 50 (quiet state), orbit 150 (preoutburst state), and orbit 200 (postoutburst state). The inset is a zoomin of the region 1.2 ≤ r ≤ 1.4 where multiple changes of sign are clearly visible for orbit 150. 
Figure 11 displays the derivative of the vorticity, ∂Z/∂r, for three points in time. At orbit 50, the system is in a state of quiescence (see also Fig. 6). After 150 orbits the second outburst has just started to evolve, and 50 orbits later the system is recovering from the outburst. While the vorticity derivative of the quiet and postoutburst state does not change sign for r> 1.2R_{∗}, it does change several times for orbit 150. The region r> 1.2R_{∗} is of interest here because this is where the rotation profile is flat. There are, of course, multiple changes of sign for r< 1.2R_{∗} in all curves. However, those points are associated with the strong shearing regions that we have already discussed in Sect. 4. After analyzing several time steps before, during, and after outbursts, we draw the following picture: The consecutive shock passages near the maximum of Ω cause the flow field to adjust such that multiple changes of sign are created in the derivative of the vorticity. Since this is a necessary condition for the instability of a rotating, hydrodynamical flow, it is probable that a classical KH instability develops in the flat regions of the flow. The role, however, that the KH instability plays in the context of the enhanced accretion and AM transport is not yet entirely clear. It might, on the one hand, act as a trigger for a mode of the sonic instability which is excited during the outburst and efficiently drives the accretion. Once a sufficient amount of the mass in the BL has been accreted, the mode can no longer be sustained and the system returns to quiescence. One candidate for this mode might be the upper branch, which we normally do not observe in our simulations. A scenario similar to this option was also discussed in Belyaev et al. (2013a). If, on the other hand, the KH instability itself is responsible for the enhanced accretion, AM should be transported mainly by turbulent stresses, as opposed to the wave transport through the mode mentioned above. We did not find clear signs of turbulence during the outburst, nor did we find evidence of the upper mode. It is, however, plausible that the AM transport is still accomplished by waves and the KH instability might trigger or enhance a mode of the lower branch.
Fig. 12
zcomponent of the vorticity, ∇ × u, at the peak of the second outburst at t = 172.6 orbits. The patterns in this image might be indicative of a KHlike instability. 
We did find evidence for the existence of a KH instability during the outburst. We consider for this purpose Fig. 12, a 2D image of the zcomponent of the vorticity ∇ × u at orbit 172.6, i.e. at the peak of the second outburst. It shows patterns that are commonly associated with the classical KH instability, for instance, the curly arms and the cat’s eyes. By analyzing simulation C we find that these patterns become more distinct with increasing resolution (see also Fig. 11 in Belyaev et al. 2012). The KH features are, however, masked to some extent by the waves generated by the main instability. This becomes clear when we investigate the outbursts at later times when the main instability is decreasing. In addition, the flat region where we expect KH instability to work occurs in the fast rotating part of the disk. Static grid codes suffer from disadvantages when the fluid is boosted and fluid mixing instabilities can be suppressed (Springel 2010).
5.3. Effective temperature
Fig. 13
Azimuthally averaged effective temperature of the BL for six time steps centered around the second outburst (see Fig. 6). T_{eff} increases considerably during the outburst and then declines to approximately the preoutburst level ∼30 orbits after the peak of the outburst. The black dashed line corresponds to the surface temperature of the standard solution of Shakura & Sunyaev (1973). 
We now investigate the outburst described in Sect. 5.2 from an observer’s point of view and look at the radiation emitted by the BL and the disk. In Fig. 10 we have exclusively considered physical quantities, which are measured in the equatorial plane of the disk, among them the midplane temperature T_{c}. If the medium is optically thick, however, the emergent spectrum is dominated by the temperature on the surface of the disk where the vertical optical depth is approximately one, and locally resembles the spectrum of a blackbody radiating with temperature T_{eff}. Since we have no knowledge of the vertical structure of the disk, we use the approximation of Hubeny (1990), which is a generalization of the gray atmosphere (e.g. Rybicki & Lightman 1986). The effective temperature can then be calculated with an approximated optical depth in vertical direction (Suleymanov 1992): (23)Here, τ_{R} and τ_{P} (τ = κρH = 0.5κΣ) are the Rosseland and the Planck mean optical depth, respectively.
Figure 13 shows the effective temperature of simulation B calculated according to Eq. (23). At the beginning of the outburst (orbit 160) the effective temperature features only a slight peak in the BL and the temperature in the BL and in the disk differ at most by 500 Kelvin. The reason why the effective temperature of the BL and the disk are very similar at the beginning of the outburst episode is the following. The system, which is just on the verge of an outburst at this point in time, comes out of a preceding state of quiescence. Therefore, the energy dissipation of the waves is small and the density is rather high owing to the inefficient mass transport. Consequently, both the midplane temperature and the optical depth in the BL are comparable to the disk and T_{eff} is only slightly larger in the BL. Over the course of the next 13 orbits, however, the system goes through an episode of effective mass and AM transport, and the midplane temperature increases and the surface density decreases (see Fig. 10). Thus, according to Eq. (23), T_{eff} increases rapidly in the BL yielding a maximum of 6000 K at r ≈ 1.3, which is twice the temperature in the disk. Care should be taken when comparing T_{eff} in our models with conventional BL models where an αviscosity has been applied. The latter typically feature a BL that is considerably smaller in radial extent than in the models presented here. The luminosity of the BL, however, does only depend on the physical parameters of the system and must be the same in both models ( for a nonrotating star). Since the luminosity is the integral of the flux over the area of the BL, it follows that the thinner the BL, the higher the effective temperature must be, and vice versa. The relation between the maximum effective temperature in the BL θ_{BL} and in the disk, θ_{d}, can roughly be estimated by (LyndenBell & Pringle 1974) (24)where δ is the width of the thermal BL (see e.g. Regev & Bertout 1995; Popham & Narayan 1995). Equation (24) yields a factor of ∼2 for δ = 0.3R_{∗}, which is in good agreement with what we observe in our simulation (see Fig. 13). Also visualized in Fig. 13 (black dashed line) is the surface temperature according to Shakura & Sunyaev (1973), which is given by (25)where j is the normalized AM flux. We took j = 1.1 for Fig. 13, which is the mean normalized AM flux at orbit 160 measured from the simulation. The effective temperature derived from our simulation agrees very well with Eq. (25) in the disk. In the BL, of course, the analytically derived formula fails to capture the rise of the effective temperature.
Fig. 14
2D plot of the effective temperature of the BL at orbit 173, which marks the peak of the second outburst (see Fig. 6). T_{eff} strongly varies in azimuthal direction and reaches temperatures up to 10 000 K. The curly arms visible for r< 1.2 are indicative of a KHlike instability. 
Fig. 15
Timeradius image of α_{Re} spanning several hundred orbits. We note that the values of α_{Re} have been multiplied by (− 1) in order to allow for the logarithmic scale. For each point in time the values have been time average over ten orbits. The vertical dashed lines denote the locations of the outbursts mentioned earlier in the text. 
Another important point for the observational appearance of the BL is the azimuthal dependence of the effective temperature, which is visualized in Fig. 14 for orbit number 173. We can see from this depiction that T_{eff} reaches temperatures of nearly 10 000 K in the simulation domain which is high, considering the case of a young star. There is strong variation of T_{eff} in ϕdirection, especially for the annulus r ≈ 1.3, which is due to the shocks of the radial velocity that create density perturbations in the surface density and then affect the vertical optical depth and the effective temperature. The ϕdependent pattern of T_{eff} rotates with the pattern speed of the acoustic modes, which is close to the Keplerian velocity, and will express itself in timedependent variations of the light curve. This is an important point because many systems show light curve oscillations with periods that are close to the orbital period at the surface of the star. In cataclysmic variables, for instance, one observes rapid oscillations called dwarf novae oscillations (DNOs, Warner & Robinson 1972) and quasiperiodic oscillations (QPOs, Patterson et al. 1977). Both phenomena are not yet fully understood and it is tempting to see a connection to the BL modes on the basis of the protostar simulations presented here. However, further research is necessary to clarify this point. We also note that Fig. 14 shows clear indications of KH instabilities. These features are even more pronounced in snapshots of T_{eff} taken before the peak of the second outburst and reinforce the point that a KHlike instability is responsible for the frequent outbursts.
5.4. Angular momentum transport by waves
In Fig. 7 we visualized the total AM flux in the disk, which consists of the advective part, the viscous part in the disk, and the Reynolds part (see Eq. (17)). It is, however, of great interest to see how much the instabilities contribute to the total AM flux and to deduce the efficiency of this transport. As we have described in Sect. 4, the instability in the BL leads to the development of acoustic waves that are launched from the interface and propagate into the disk and the star. As a consequence, AM transport in our models is dominated by acoustic radiation, i.e. sound waves carrying AM. We do not observe any turbulence in our simulations and hence rule out turbulent stresses as a major contribution to the AM flux. Unlike the turbulent stresses, the AM transport by waves is a nonlocal process. Waves can carry AM of either sign from one point in the domain, e.g. the interface in the BL where they are launched to another point in the disk where they deposit the AM into the fluid through wave dissipation. Thus, the longrange exchange of angular momentum between regions that are otherwise uncorrelated is possible through the wave transport. This is a major difference from the αmodels which yield a local effective viscosity due to a local AM exchange phenomenon, such as turbulence. Therefore, it is questionable whether the processes in the BL can be described by a local prescription like the αmodel.
We now analyze the efficiency of the wave mediated AM transport and consider Fig. 15 for this purpose. It shows the dimensionless Reynolds stresses α_{Re}, which has been calculated according to Eq. (14), as a function of radius and time. We can apply this description to the AM transport since waves transport angular momentum exclusively by stresses. The Reynolds stress is evidently very strong with peak values up to the order of unity and it is largest at the top of the BL, at around r = 1.2, which is very interesting since in that region Ω reaches its maximum. Thus, our simulations reveal that the stresses are largest around the very point where they would vanish according to a conventional αviscosity model. Strictly speaking, this renders a local prescription that depends on the shear of the angular velocity inapplicable for the BL. Figure 15 also shows that the AM transport due to the waves includes a large part of the domain, 1.05 ≲ r ≲ 1.4, and spreads out farther into the disk during outbursts. This reinforces the point that the AM transport ultimately generated by the shear in the BL is not confined to the BL, but in fact ranges over long distances. As we saw earlier, the activity rises during outbursts and therefore α_{Re} is enhanced during these periods as well. The value of α_{Re} is almost exclusively negative, meaning that angular momentum is transported toward the star. This behavior is characteristic of the lower branch of the acoustic modes (Belyaev et al. 2013a). We refrain from presenting plots of the parameter α_{ν} that can be calculated according to Eq. (15) because it is artificial to boil the nonlocal AM transport down to a local parameter. However, for the sake of completeness, it should be mentioned that Eq. (15) yields values on the order of 10^{3} − 1 for our models.
Fig. 16
Width of the BL as a function of time for the four simulations mentioned in Sect. 3.3. The width is calculated from the radii of the region where 0.02 <u_{ϕ}/u_{K}< 0.8. All four simulation settle down to a BL width of approximately 20 percent of the stellar radius. Simulation A approaches this value more slowly and in a slightly different manner, which is due to the very low resolution of this particular simulation (512 × 512). 
Finally, we investigate how the strong AM transport in and around the BL affects the width of the region where the azimuthal velocity rises from stellar rotation to the Keplerian rotation in the disk. Figure 16 depicts the BL thickness as a function of time for all four simulations. The thickness of the BL is defined to be the region in which (26)The width of the BL increases very rapidly and grows in size by a factor of 2 at the beginning of the simulation, i.e. when the sonic instability has grown to establish an efficient AM transport. After the initial fast growth the width of the BL increases on average linearly over the course of approximately 500 orbits until it settles down at a value of ∼ 0.2R_{∗}. We have run additional simulations in order to test the robustness of the BL thickness of 20% of the stellar radius. In these simulations, the initial distance of the velocity drop from the inner edge of the simulation domain has been extended by altering both the parameter ℱ (see Sect. 3.2) and the point where the computational domain begins. We thereby test whether the thickness is affected by the BL running up against the inner edge of the domain. However, these runs are in perfect agreement with the simulations presented here and saturate at a BL width of ∼ 0.2R_{∗} as well.
There are several spikes in the temporal evolution of the BL width for all three simulations that are clearly associated with the frequent outbursts. During the high activity state the BL broadens considerably in a very short period of time and typically resides at a larger width in the aftermath of the outburst. Because of the high resolution and the resulting long simulation times we can follow the highly resolved simulation only for about 200 orbits. During that time it behaves exactly like the other simulations with the exception that the width of the BL increases much more quickly. This is in good agreement with the fact that the growth rate of the sonic instability depends on the resolution in such a way that it is faster when the resolution is higher (see Sect. 4). Since the BL widens to a large extent, it extends very far into the disk and into the star. The latter means that a consistent simultaneous treatment of the star is required for numerical simulations involving large simulation times. We will discuss this point in detail in the next section.
5.5. The longterm evolution of our simulations
We ran and monitored our reference simulation for over 2000 orbits (see Fig. 6), and the instability and the periodic outbursts do not die out during that time. There is, however, a change in the pattern of the acoustic waves that occurs around orbit 1200, which coincides precisely with the moment when the base of the BL reaches the inner boundary of the simulation domain. We consider this a problematic moment, since it is not possible to treat the star correctly in 2D rϕ simulations. The geometry of the coordinate system inherently gives the star a cylindrical shape in our simulations. In Sect. 3.2 we describe how we treat the inner boundary in order to approximate the beginning of the star and that the radial velocity is set to outflow with a certain velocity at this point. Therefore, we might expect unphysical and artificial processes once the vortices of the acoustic modes reach this point because the radial velocity is fixed to a certain value and an inflow in the domain is not supported. Furthermore, we force the azimuthal velocity to zero at the inner boundary. However, the acoustic modes seem to be quite robust since they do not die out despite the difficulties with the artificial inner boundary. The change in the pattern at orbit 1200 might be due to a switching of the modes to the upper branch, since the spiral arms of the waves are unwinding considerably and changing from leading to trailing. Another 1000 orbits later the process is reversed again and the system switches back to the lower branch.
However, in order to capture the physics correctly at these late stages in time and to still make reliable statements once the BL extends all the way to the surface of the star or even into the star, it is necessary to attach a realistic model of the star to the disk. We consider, for instance, a wave launched in the BL that propagates toward the star. It can penetrate deep into the star before it is stopped by the steep density gradient and dissipates the angular momentum somewhere in the star. On the other hand, many problems arise when the star is treated consistently. The problem must then be simulated in spherical coordinates, i.e. 3D simulations are necessary, and the density varies considerably from the interior of the star to the disk. Simulations of this kind are very demanding from a computational point of view, but also very tempting, and we plan to investigate this problem in the future.
6. Summary and conclusion
We have performed highly resolved, 2D hydrodynamical simulations of the BL surrounding a young star in order to investigate the AM transport driven by instabilities. Extending previous simulations, we have a net mass flow through the disk, we utilized a realistic equation of state, and (within the framework of onetemperature approximation) we included full radiative transfer in the disk plane as well as vertical cooling through an realistic estimate of the vertical optical depth, thereby employing a quasi 3D radiation transport. Moreover, those simulations were started from stateoftheart 1D models of the BL and thus comprise realistic profiles for the density and temperature. We ran the simulations for over twothousand orbits in order to study the longterm behavior.
Our simulations confirm that the supersonic velocity drop in the BL is indeed prone to the sonic instability, a kind of supersonic shear layer instability whose subsonic counterpart is the KelvinHelmholty instability (Belyaev & Rafikov 2012). Shortly after starting the simulations, the sonic instability sets in and starts to grow rapidly for about 15 orbits. It then saturates and the BL is dominated by acoustic waves that propagate both into the disk and into the star. These acoustic modes manifest themselves in three distinct patterns that can be related to the three branches of the instability of a plane parallel vortex sheet and do not die out for the whole simulation time.
Additionally, the system repeatedly undergoes outbursts where the wave activity as well as the AM and mass transport increase considerably. We argue that these outburst are likely triggered by a secondary KH instability that develops in the flat region of the azimuthal velocity profile due to several changes of sign of the vorticity. Since the effective temperature also shows strong variations during outbursts, they may play an important role in explaining variations in the light curve, such as FU Oroutbursts or DNOs and QPOs in the case of BLs around white dwarfs. It is tempting to associate these phenomena with the outbursts we observe in our simulations; however, this topic must be looked into further in order to draw reliable conclusions. Such an investigation would certainly involve the study of how the outburst reacts to a change in parameters, among other things. It is also vital to perform 3D simulations on this question since there might be a dependence on dimensionality (Belyaev et al. 2013a).
Our main objective in this work was the clarification of the AM transport in unmagnetized astrophysical BLs. We found that the acoustic modes indeed transport AM through the BL and the disk, and that this mechanism is even highly efficient, reaching values for the dimensionless Reynolds stress α_{Re} of ∼0.01 in quiet states and up to unity in high activity states (see Fig. 15). Along with AM, mass is also transported efficiently through the domain (see Fig. 7). The BL reacts to the enhanced transport by widening considerably until it reaches a thickness of about 0.2R_{∗} (see Fig. 16).
One of the most important elements of wave mediated AM transport is the intrinsic nonlocality of this process, i.e. waves can extract AM from one point in the disk and release it in another farther off. There are several implications that emerge from this: Thus far, αmodels for the parametrization of the viscosity have been used both in the disk and in the BL, possibly with some corrections for the BL. This prescription is justified in the disk where, under certain conditions, the system is susceptible to the MRI. The MRI leads to turbulence in the gas and angular momentum is transported via turbulent stresses. This is a local process that also depends on the shearing at this point and a local effective viscosity can be derived by the model of Shakura & Sunyaev (1973). Furthermore, it allows for efficient mixing of the gas through the turbulence. In contrast, the AM transport we have investigated in this work does not depend on the local shearing, for instance, but is a nonlocal mechanism, instead. Therefore, it is doubtful whether a conventional αmodel is applicable in the BL, and it will be hard to give a simple parametrization for the AM transport in the BL at all. However, α_{Re} features a rather smooth behavior and might be utilized for a simplified picture of the stresses in the BL. In addition, the mixing in the BL might not be as pronounced as in the disk, which could have important implications concerning the spectrum of the BL.
Connected with the notion of nonlocal AM transport is the fact that the kinetic energy, which resides in the gas shortly before it is decelerated to stellar rotation, does not need to be released as locally as was previously assumed. Waves also transport energy and release it to the fluid where they are damped or dissipate. This might have important implications for the structure and observational appearance of the BL. We consider, for instance, the alternative BL theory of the spreading layer (Inogamov & Sunyaev 1999, 2010) where the gas is not decelerated in the disk midplane but rather in two belts in the northern and southern hemisphere of the star. It is difficult to bring a local viscosity model into accordance with this theory, since the friction on the surface of the neutron star is far too small. The nonlocal AM transport described in this work could, however, shed new light upon the theory of the spreading layer.
Simulations that investigate both the vertical structure and the nonaxisymmetric properties can only be performed in 3D, however. This is a vital extension that should be taken as the next step in order to bring the models closer to reality. In a 3D spherical geometry, it would also be possible to simultaneously model the star, a point that has been illustrated in Sect. 5.5. Another major extension is the inclusion of magnetic fields, i.e. performing magnetohydrodynamical simulations of the BL. It would then be possible to relinquish any viscosity prescription whatsoever and directly simulate the MRI in the disk and the acoustic modes in the BL. There might be important interactions between the turbulent disc and the BL modes and new wave branches might add to the three discussed here. However, the extensions mentioned above will greatly increase the computation time and possibly require more efficient codes and faster hardware.
Acknowledgments
Marius Hertfelder received financial support from the German National Academic Foundation (Studienstiftung des deutschen Volkes). This research made use of matplotlib (Hunter 2007), a python module for data visualization. Most of the simulations were performed on the bwGRiD cluster in Tübingen, which is funded by the Ministry for Education and Research of Germany and the Ministry for Science, Research and Arts of the state BadenWürttemberg, and the cluster of the Collaborative Research Group FOR 759, funded by the DFG. We also thank the referee for his constructive comments which helped to improve this paper.
References
 Abramowicz, M.,Brandenburg, A., &Lasota, J.P. 1996, MNRAS, 281, L21 [NASA ADS] [CrossRef] [Google Scholar]
 Balbus, S. A. 2003, ARA&A, 41, 555 [NASA ADS] [CrossRef] [Google Scholar]
 Balbus, S. A., &Hawley, J. F. 1991, ApJ, 376, 214 [NASA ADS] [CrossRef] [Google Scholar]
 Balbus, S. A., &Hawley, J. F. 1998, Rev. Mod. Phys., 70, 1 [Google Scholar]
 Balbus, S. A., &Lesaffre, P. 2008, New A Rev., 51, 814 [NASA ADS] [CrossRef] [Google Scholar]
 Balbus, S. A., &Papaloizou, J. C. B. 1999, ApJ, 521, 650 [NASA ADS] [CrossRef] [Google Scholar]
 Baruteau, C. 2008, Ph.D. Thesis, CEA Saclay [Google Scholar]
 Bell, K. R., &Lin, D. N. C. 1994, ApJ, 427, 987 [NASA ADS] [CrossRef] [Google Scholar]
 Belyaev, M. A., &Rafikov, R. R. 2012, ApJ, 752, 115 [NASA ADS] [CrossRef] [Google Scholar]
 Belyaev, M. A.,Rafikov, R. R., &Stone, J. M. 2012, ApJ, 760, 22 [NASA ADS] [CrossRef] [Google Scholar]
 Belyaev, M. A.,Rafikov, R. R., &Stone, J. M. 2013a, ApJ, 770, 67 [NASA ADS] [CrossRef] [Google Scholar]
 Belyaev, M. A.,Rafikov, R. R., &Stone, J. M. 2013b, ApJ, 770, 68 [NASA ADS] [CrossRef] [Google Scholar]
 Bertout, C., &Regev, O. 1992, ApJ, 399, L163 [Google Scholar]
 Binney, J., & Tremaine, S. 2008, Galactic Dynamics: Second Edition (Princeton University Press) [Google Scholar]
 Chandrasekhar, S. 1960, Proc. National Academy of Science, 46, 253 [NASA ADS] [CrossRef] [Google Scholar]
 Cohen, M., &Kuhi, L. V. 1979, ApJS, 41, 743 [NASA ADS] [CrossRef] [Google Scholar]
 Drazin, P. G., & Reid, W. H. 2004, Hydrodynamic Stability (Cambridge University Press) [Google Scholar]
 Fjørtoft, R. 1950, Geofys. Publ., Oslo, 17 [Google Scholar]
 Fujimoto, M. Y. 1993, ApJ, 419, 768 [NASA ADS] [CrossRef] [Google Scholar]
 Gatski, T., & Bonnet, J. 2013, Compressibility, Turbulence and High Speed Flow (Elsevier Science) [Google Scholar]
 Glatzel, W. 1988, MNRAS, 231, 795 [NASA ADS] [CrossRef] [Google Scholar]
 Godon, P. 1995, MNRAS, 277, 157 [NASA ADS] [Google Scholar]
 Hartmann, L., Kenyon, S., & Hartigan, P. 1993, in Protostars and Planets III, eds. E. H. Levy, & J. I. Lunine, 497 [Google Scholar]
 Hayashi, M.,Ohashi, N., &Miyama, S. M. 1993, ApJ, 418, L71 [NASA ADS] [CrossRef] [Google Scholar]
 Hertfelder, M.,Kley, W.,Suleimanov, V., &Werner, K. 2013, A&A, 560, A56 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Hubeny, I. 1990, ApJ, 351, 632 [NASA ADS] [CrossRef] [Google Scholar]
 Hunter, J. D. 2007, Computing In Science & Engineering, 9, 90 [Google Scholar]
 Inogamov, N. A., &Sunyaev, R. A. 1999, Astron. Lett., 25, 269 [NASA ADS] [Google Scholar]
 Inogamov, N. A., &Sunyaev, R. A. 2010, Astron. Lett., 36, 848 [NASA ADS] [CrossRef] [Google Scholar]
 Kippenhahn, R., &Thomas, H.C. 1978, A&A, 63, 265 [NASA ADS] [Google Scholar]
 Kley, W. 1989, A&A, 208, 98 [NASA ADS] [Google Scholar]
 Kley, W., &Hensler, G. 1987, A&A, 172, 124 [NASA ADS] [Google Scholar]
 Kley, W., &Lin, D. N. C. 1996, ApJ, 461, 933 [NASA ADS] [CrossRef] [Google Scholar]
 Kley, W., &Lin, D. N. C. 1999, ApJ, 518, 833 [NASA ADS] [CrossRef] [Google Scholar]
 Kley, W., &Papaloizou, J. C. B. 1997, MNRAS, 285, 239 [NASA ADS] [CrossRef] [Google Scholar]
 Kluźniak, W. 1987, Ph.D. Thesis, Stanford Univ. [Google Scholar]
 Levermore, C. D. 1984, J. Quant. Spec. Radiat. Transf., 31, 149 [NASA ADS] [CrossRef] [Google Scholar]
 Levermore, C. D., &Pomraning, G. C. 1981, ApJ, 248, 321 [NASA ADS] [CrossRef] [Google Scholar]
 Lin, D. N. C., & Papaloizou, J. 1985, in Protostars and Planets II, eds. D. C. Black, & M. S. Matthews, 981 [Google Scholar]
 Lin, D. N. C.,Hayashi, M.,Bell, K. R., &Ohashi, N. 1994, ApJ, 435, 821 [NASA ADS] [CrossRef] [Google Scholar]
 LyndenBell, D., &Pringle, J. E. 1974, MNRAS, 168, 603 [NASA ADS] [CrossRef] [Google Scholar]
 Mark, J. W. K. 1976, ApJ, 205, 363 [NASA ADS] [CrossRef] [Google Scholar]
 Masset, F. 2000, A&AS, 141, 165 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Masset, F. S. 2002, A&A, 387, 605 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Müller, T. W. A., &Kley, W. 2012, A&A, 539, A18 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Müller, T. W. A., &Kley, W. 2013, A&A, 560, A40 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Narayan, R.,Goldreich, P., &Goodman, J. 1987, MNRAS, 228, 1 [NASA ADS] [CrossRef] [Google Scholar]
 Papaloizou, J. C. B., &Pringle, J. E. 1984, MNRAS, 208, 721 [NASA ADS] [CrossRef] [Google Scholar]
 Papaloizou, J. C. B., &Stanley, G. Q. G. 1986, MNRAS, 220, 593 [NASA ADS] [CrossRef] [Google Scholar]
 Patterson, J.,Robinson, E. L., &Nather, R. E. 1977, ApJ, 214, 144 [NASA ADS] [CrossRef] [Google Scholar]
 Pessah, M. E., & Chan, C.k. 2012, ApJ, 751, 48 [NASA ADS] [CrossRef] [Google Scholar]
 Peyret, R. 1996, Handbook of Computational Fluid Mechanics (London: Academic Press) [Google Scholar]
 Piro, A. L., &Bildsten, L. 2004, ApJ, 610, 977 [NASA ADS] [CrossRef] [Google Scholar]
 Popham, R., &Narayan, R. 1995, ApJ, 442, 337 [NASA ADS] [CrossRef] [Google Scholar]
 Regev, O., &Bertout, C. 1995, MNRAS, 272, 71 [NASA ADS] [CrossRef] [Google Scholar]
 Rybicki, G. B., & Lightman, A. P. 1986, Radiative Processes in Astrophysics (New York: John Wiley and Sons) [Google Scholar]
 Shakura, N. I., &Sunyaev, R. A. 1973, A&A, 24, 337 [NASA ADS] [Google Scholar]
 Springel, V. 2010, MNRAS, 401, 791 [NASA ADS] [CrossRef] [Google Scholar]
 Spruit, H. C. 2002, A&A, 381, 923 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Suleymanov, V. F. 1992, Sov. Astron. Lett., 18, 104 [NASA ADS] [Google Scholar]
 Tayler, R. J. 1973, MNRAS, 161, 365 [NASA ADS] [CrossRef] [Google Scholar]
 Velikhov, E. 1959, Zhur. Eksptl. i Teoret. Fiz., 36 [Google Scholar]
 Warner, B., &Robinson, E. L. 1972, MNRAS, 159, 101 [NASA ADS] [CrossRef] [Google Scholar]
All Figures
Fig. 1
Total radial kinetic energy as a function of the very first orbits for three simulations mentioned in Sect. 3.3, which differ only in their spatial resolution. At around orbit 5, the sonic instability starts to operate in all three cases, and as a result, the radial kinetic energy rises rapidly. The growth rates were obtained by applying an exponential fit to the first exponential increase. 

In the text 
Fig. 2
rϕ plot of the radial velocity in units of u_{K}(R_{∗}) at t = 5a) and t = 10b) orbits. The velocity in the upper panel, a), has been multiplied by a factor of 2 in order to use the same colormap as below. Both snapshots show the linear stage of the sonic instability and the middle branch in action. The sound waves are propagating toward the inner and the outer edge of the domain in an oblique fashion. The three black lines in panel b) illustrate the wavefronts. The arrows denote the direction of the unperturbed azimuthal flow. 

In the text 
Fig. 3
Twodimensional plot of the radial velocity u_{r} at t = 45 orbits. The direction of the unperturbed flow is from bottom to top, i.e. in the direction of growing ϕ. The dashed white lines are contour lines of the azimuthal velocity at the levels 0.15,0.3, and 0.7 (from left to right). All velocities are given in units of u_{K}(R_{∗}). The radial velocity develops a pattern with vortices in the BL and shocks at the top of the BL. This pattern most likely resembles the lower branch of the acoustic modes discussed in Belyaev et al. (2013a). 

In the text 
Fig. 4
rϕ plot of the radial velocity a) and the azimuthal velocity b) at t = 173 orbits. Both quantities are given in units of u_{K}(R_{∗}). The dashed white lines in both plots trace the contour of u_{ϕ} = 0.15 and 0.6 (from left to right). The direction of the unperturbed flow is from bottom to top. The images have been taken at a high activity state and the strong shocks in u_{r} and the heavy deformation of the interface (see b)) are clearly visible. 

In the text 
Fig. 5
Fulldisk plot of u_{r} at t = 200 orbits. The direction of the unperturbed flow is counterclockwise. The radial velocity is given in units of u_{K}(R_{∗}). 

In the text 
Fig. 6
Temporal evolution of the radial kinetic energy of our reference simulation. The time is given in units of the Keplerian orbit at r = R_{∗}, P_{∗}. The switching between quiet and outburst states described in the text is clearly noticeable. We have marked the exact times for some of the outbursts for easier comparison with the text. 

In the text 
Fig. 7
Upper panel: temporal evolution of the mass accretion rate in the radial direction, Ṁ(r,t), in units of solar masses per year. It is obtained from the mass accretion rate per cell (see Eq. (16)) by integrating over the azimuthal direction. Lower panel: visualization of the AM flux normalized to the advective AM flux at the stellar surface (see Eq. (18)), which is also integrated over azimuth. We note that we applied a socalled symlog scaling for the plot, which means that we have a logarithmic scaling for both the positive and the negative values. Only in the vicinity of 0 is the scale linear. A negative value means that mass or AM is transported to the center of the disk. The phases of strong activity in the radial velocity (see Fig. 6, marked with the black dashed lines here) correspond to phases of increased mass and AM transport. The diagonal features in the upper panel are a clear signature of waves, which have alternating signs of mass transport. This sloshing behavior spreads to the AM flux (lower panel) via the advective component of j. 

In the text 
Fig. 8
Velocity in azimuthal direction in units of the Keplerian velocity at the stellar surface for seven different orbits. The curves demonstrate the spinup of the gas for r ≲ 1.2 and the spindown for r ≳ 1.2 over time. 

In the text 
Fig. 9
Upper panel: mass accretion rate; middle panel: radial velocity; and lower panel: azimuthal velocity. All three quantities are plotted as functions of azimuth at the fixed radius r = 1.12R_{∗} after 145 orbits. The upper two curves are shifted in phase with respect to the lower one such that maxima in Ṁ (nearly) coincide with minima in u_{ϕ}. 

In the text 
Fig. 10
Azimuthal velocity, the surface density, the pressure, and the midplane temperature for five time steps centered around the second outburst. The dashed lines denote the initial conditions of the simulations. The dashdotted line in the upper left panel gives the azimuthal velocity for pure Keplerian rotation. In the lower right panel we have included a zoomin of Fig. 6 for better identification of the exact location of the plot times. 

In the text 
Fig. 11
Derivative of the vorticity, ∂Z/∂r, as a function of radius for orbit 50 (quiet state), orbit 150 (preoutburst state), and orbit 200 (postoutburst state). The inset is a zoomin of the region 1.2 ≤ r ≤ 1.4 where multiple changes of sign are clearly visible for orbit 150. 

In the text 
Fig. 12
zcomponent of the vorticity, ∇ × u, at the peak of the second outburst at t = 172.6 orbits. The patterns in this image might be indicative of a KHlike instability. 

In the text 
Fig. 13
Azimuthally averaged effective temperature of the BL for six time steps centered around the second outburst (see Fig. 6). T_{eff} increases considerably during the outburst and then declines to approximately the preoutburst level ∼30 orbits after the peak of the outburst. The black dashed line corresponds to the surface temperature of the standard solution of Shakura & Sunyaev (1973). 

In the text 
Fig. 14
2D plot of the effective temperature of the BL at orbit 173, which marks the peak of the second outburst (see Fig. 6). T_{eff} strongly varies in azimuthal direction and reaches temperatures up to 10 000 K. The curly arms visible for r< 1.2 are indicative of a KHlike instability. 

In the text 
Fig. 15
Timeradius image of α_{Re} spanning several hundred orbits. We note that the values of α_{Re} have been multiplied by (− 1) in order to allow for the logarithmic scale. For each point in time the values have been time average over ten orbits. The vertical dashed lines denote the locations of the outbursts mentioned earlier in the text. 

In the text 
Fig. 16
Width of the BL as a function of time for the four simulations mentioned in Sect. 3.3. The width is calculated from the radii of the region where 0.02 <u_{ϕ}/u_{K}< 0.8. All four simulation settle down to a BL width of approximately 20 percent of the stellar radius. Simulation A approaches this value more slowly and in a slightly different manner, which is due to the very low resolution of this particular simulation (512 × 512). 

In the text 
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