Transitions of Spherical Thermohaline Circulation to Multiple Equilibria
Saadet \"Ozer, Taylan \c{S}eng\"ul

TL;DR
This paper analyzes how thermohaline circulation in a spherical shell transitions to multiple equilibrium states, identifying conditions for different transition types and deriving exact formulas for transition numbers.
Contribution
It provides the first exact formulas for transition numbers in spherical thermohaline circulation and characterizes the nature of bifurcations depending on system parameters.
Findings
Transition type depends on the sign of the transition number.
Exact formulas for transition numbers are derived for specific spherical harmonic degrees.
Numerical results show different transition behaviors based on the Lewis number.
Abstract
The main aim of the paper is to investigate the transitions of the thermohaline circulation in a spherical shell in a parameter regime which only allows transitions to multiple equilibria. We find that the first transition is either continuous (Type-I) or drastic (Type-II) depending on the sign of the transition number. The transition number depends on the system parameters and , which is the common degree of spherical harmonics of the first critical eigenmodes, and it can be written as a sum of terms describing the nonlinear interactions of various modes with the critical modes. We obtain the exact formulas of this transition number for and cases. Numerically, we find that the main contribution to the transition number is due to nonlinear interactions with modes having zero wave number and the contribution from the nonlinear interactions with higher frequency modes…
| Le | ||||
|---|---|---|---|---|
| 40.825 | 1.493 | -23.53 | -0.8537 | |
| 1.955 | 0.074 | 0.275 | 0.0122 | |
| 0.5 | 0.477 | 0.0196 | 0.424 | 0.0176 |
| 5 | 0.421 | 0.175 | 0.427 | 0.1177 |
| Le | ||||||
|---|---|---|---|---|---|---|
| 40.825 | 8.359 | 0.592 | -23.53 | -4.797 | -0.338 | |
| 1.956 | 0.407 | 0.029 | 0.275 | 0.063 | 0.005 | |
| 0.5 | 0.477 | 0.104 | 0.008 | 0.424 | 0.093 | 0.007 |
| 5 | 0.421 | 0.092 | 0.0069 | 0.427 | 0.093 | 0.007 |
| Le | Type-I transition | Type-II transition |
|---|---|---|
| if | if | |
| if | if | |
| if | if |
| Le | Type-I transition | Type-II transition |
|---|---|---|
| if | if | |
| if | if | |
| if | if |
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Transitions of Spherical Thermohaline Circulation to Multiple Equilibria
Saadet Özer
Department of Mathematics, Istanbul Technical University, 34469, Istanbul, Turkey
and
Taylan Şengül
Department of Mathematics, Marmara University, 34722 Istanbul, Turkey
Abstract.
The main aim of the paper is to investigate the transitions of the thermohaline circulation in a spherical shell in a parameter regime which only allows transitions to multiple equilibria. We find that the first transition is either continuous (Type-I) or drastic (Type-II) depending on the sign of the transition number. The transition number depends on the system parameters and , which is the common degree of spherical harmonics of the first critical eigenmodes, and it can be written as a sum of terms describing the nonlinear interactions of various modes with the critical modes. We obtain the exact formulas of this transition number for and cases. Numerically, we find that the main contribution to the transition number is due to nonlinear interactions with modes having zero wave number and the contribution from the nonlinear interactions with higher frequency modes is negligible. In our numerical experiments we encountered both types of transition for but only continuous transition for . In the continuous transition scenario, we rigorously prove that an attractor in the phase space bifurcates which is homeomorphic to the 2 dimensional sphere and consists entirely of degenerate steady state solutions.
Key words and phrases:
Thermohaline circulation, dynamic transition theory, spherical harmonics, linear stability, energy stability, principal of exchange of stabilities
1. Introduction
An important source of climate low frequency variability is the so called thermohaline circulation (THC). The underlying mechanism of THC is well established. THC is essentially driven by the temperature and freshwater fluxes in the ocean-atmosphere interface which in turn produces density gradients. These gradients are much sharper in the vertical direction compared to the horizontal directions and therefore are associated with an overturning.
There are indications that the Atlantic circulation has varied in the past [2]. Taking into account the enormous effects the ocean circulation has on the climate, the sensitivity, stability and transitions of the large scale ocean circulation became an important issue in climate research [12]. The studies of the THC using a hierarchy of ocean models, starting with a very simple box model [16] shows that the presence of heat and salt, with their different influences on the density field, may lead to different stable steady flow patterns.
This paper arises out of a research program to generate rigorous mathematical results on climate variability developed from the viewpoint of dynamical transitions [10, 5, 6]. The basic philosophy of dynamic transition theory is to search for the full set of transition states, giving a complete characterization of stability and transition. The set of transition states which is often represented by a local attractor may lie near or away from the basic state. This theory has recently been successfully applied to many branches of nonlinear sciences, see [19, 13, 4, 18] among others.
One of the main focus of the dynamic transition theory is the identification of transition states and the classification of dissipative systems into three distinct transition types, namely continuous (Type-I), catastrophic (Type-II) and random (Type-III) transitions which describe the nature of the state of the system as the control parameter crosses a critical threshold. The transition states stay in a close neighborhood of the basic state in the case of continuous transition, and lie outside of a neighborhood of the basic state in the case of a catastrophic transition. For a random type transition, a neighborhood of the basic state consists of two disjoint open regions with a continuous transition taking place in one region while a catastrophic transition occurring in the other one.
We briefly recall several recent papers which investigate the problem in simpler settings than the one studied in this paper. The paper [1] considers the THC in a 2D rectangular box and considers the oscillatory transitions and finds that both continuous and drastic transitions are possible. In [9], the authors investigate the dynamic transitions of THC in a 3D rectangular enclosure where they show that THC exhibits transitions to either multiple equilibria or to time periodic solutions and that there are parameter regimes leading to continuous or catastrophic transitions. Finally, in [17], the authors consider the dynamic transitions in a spherical shell but only for the pure thermal convection case without salinity gradients. The transition type in that case is well-known to be continuous and the transition is described by an attractor bifurcation [11]. Hence in [17], the authors aim to describe the structure of the local bifurcated attractor.
The main objective of this paper is to carry out the dynamic transition analysis of the THC problem in the important case of a spherical shell domain. For simplicity, the spatial domain is considered as the product of a two dimensional sphere with radius and an interval where is is the height of the fluid layer. This approach is mainly motivated by the fact that the aspect ratio for the large scale atmosphere and ocean is small; see among others [7, 14]. The main challenge in carrying the analysis of [9] to a spherical shell domain is due to the detailed calculations of nonlinear interactions of spherical harmonics (both scalar and vectorial) that need to performed to compute the reduction of the infinite dimensional system to a finite one.
It is known [9] that the THC system exhibits first transitions to both multiple equilibria and to spatio-temporal oscillations depending on the parameter
[TABLE]
where Pr represents the Prandtl number, Le is the Lewis number, is the saline Rayleigh number. Here and are defined by
[TABLE]
which exist thanks to the convexity of the function . In (2), the wave number is defined as
[TABLE]
with denoting the aspect ratio of the sphere. The well known result of Rayleigh Bénard convection is that the minimum of is achieved when in which case , see [3].
In this paper, we restrict ourselves to the parameter regime which only allows transitions to multiple equilibria and will address the case of transitions to spatio-temporal oscillations ( regime) in another paper. In the case , the first dynamic transition of the system occurs as the control parameter defined by
[TABLE]
crosses the critical threshold , leading to multiple equilibria. Here R is the thermal Rayleigh number.
Our main results are as follows. We find that the transition of the THC problem at for or is either Type-I or Type-II depending on the sign of the transition number . We present the exact formulas for the transition number which depend on the system parameters for and cases in (30)–(31). In these cases, the transition number is given by the sum
[TABLE]
where is a number determined by the nonlinear interactions of the critical modes with all modes corresponding to the spherical harmonics of degree , and vertical wave number (there are of such modes). In the continuous transition scenario, an attractor in the phase space bifurcates on which is a -dimensional homological sphere. We show that this sphere is indeed homeomorphic to , the 2 dimensional sphere and consists entirely of degenerate steady state solutions.
Our numerical explorations in the parameter space suggest that
[TABLE]
when R is away from , indicating that the nonlinear interactions of the critical modes with the zero wave number modes determine the type of transition and that the contribution from higher frequency modes to the transition number is negligible. Also our numerical simulations suggest the following. For , both continuous and drastic transitions are possible and a continuous transition is preferred for while a drastic transition is preferred for with . For flows, the transition type does not change and is always Type-I for all R.
The paper is organized as follows. In Section 2, the mathematical setting of the problem is introduced. In Section 3, the linear stability analysis of the main equations is summarized. Section 4 details our main theorem and its proof. Finally in Section 5, we explore the transition number numerically.
2. Governing Equations and the Functional Setting
As mentioned in the Introduction, we consider a spherical shell as the spatial domain for the motion of the large scale ocean. Here represents the 2D sphere with radius and denotes the height of the fluid layer. The governing equations are the familiar Boussinesq equations (see [14, 9] among others):
[TABLE]
where is the velocity, is the temperature, is the salinity, is the unit vector in the z-direction, , , , are all positive constants denoting the kinematic diffusivity, the thermal diffusivity, the saline diffusivity and the gravitational constant, respectively. The fluid density is given by the linear equation of state
[TABLE]
where and are assumed to be positive constants and is the density at the lower surface. The constants , represent the fixed temperature and salinity at the lower boundary , whereas we denote the fixed temperature and salinity at the upper boundary by and .
In (5), the opposing effects of temperature and salinity are evident. Both (heated from below) and (salted from above) are destabilizing mechanisms. We will treat the general case which allows one or both of these conditions to be satisfied. In other words, a competition between a stabilizing and a destabilizing mechanism is allowed.
The trivial steady state solution to the problem (4)–(5) is given by
[TABLE]
We nondimensionalize the equations (4) exactly in the same way as in [9], and obtain
[TABLE]
where is the vertical velocity in the direction of , R is the thermal Rayleigh number, is the saline Rayleigh number, Pr is the Prandtl number and Le is the Lewis number defined as
[TABLE]
In (7), the unknowns now represent deviations from the steady state solutions given by (6). Also the nondimensional spatial domain is where the aspect ratio is
[TABLE]
Let be the 3D velocity vector where is the 2D horizontal velocity field. Hereafter, , , div and will denote both the scalar and vectorial differential operators in the horizontal direction, that is on the sphere , given by
[TABLE]
where is a scalar, and are 2D vectors.
With the above notations, (7) can be written as
[TABLE]
In this study, we consider the equations (9) supplemented with the free-slip boundary conditions
[TABLE]
and note that our analysis can be expanded to other types of boundary conditions as well.
The below functional spaces are needed to recast the equations (9) and (10) in an abstract form.
[TABLE]
We recall that the inner product in is defined for vectors as
[TABLE]
Let the linear operator be defined by
[TABLE]
and the bilinear operator be defined by
[TABLE]
Here is the Leray projection.
Now the problem can be cast as an abstract ODE as
[TABLE]
where
3. Linear Stability
We first consider the eigenvalue problem for the linearized equations of (9)
[TABLE]
supplemented with the boundary conditions with (10).
The z-independent solutions of (12)–(14) clearly satisfy . In this case, taking the curl of (12) and using the incompressibility condition is equivalent to
[TABLE]
It is easy to obtain the solutions of this equation and they are given by (20).
For the general case, we use the separation of variables in the form
[TABLE]
With (15), the incompressibility equation (14) is equivalent to the Helmholtz equation on the sphere
[TABLE]
which has solutions only when , where are the spherical harmonics, , and .
Eliminating the pressure term by taking (13)-(12), using (15)–(16) and denoting , the equations (12)–(14) become
[TABLE]
[TABLE]
[TABLE]
From (10), the boundary conditions of the above system of ODEs are
[TABLE]
If , then , and the equations (17)–(19) reduce to
[TABLE]
whose solutions are given in (21).
On the other hand, if , plugging
[TABLE]
into (17), (18) and (19), we find the coefficients and given by (23) and the compatibility condition (22) for the existence of eigenvalues.
3.1. Eigenpairs
We will denote the eigenvalues of the linearized operator by and their corresponding eigenvectors by where , , , . By the discussion in the previous section, we now summarize all the eigenpairs.
If and , then
[TABLE]
where
[TABLE]
If and , then
[TABLE]
If and , there are three distinct eigenvalues which we order as corresponding to the three distinct solutions of
[TABLE]
where
[TABLE]
As the relation (22) is independent of , to each (, , ) corresponds eigenfunctions , given by
[TABLE]
By the symmetry of the spherical harmonics, it follows that if then
[TABLE]
In particular when , we have .
3.2. Adjoint Problem
For our analysis, we also require the explicit form of the adjoint eigenvectors. The adjoint problem of (12)-(14) can be written as
[TABLE]
In the case , and in the case , , the adjoint eigenfunctions are as given in (20) and (21) respectively. When and , the eigenfunctions are now given by
[TABLE]
3.3. Principle of Exchange of Stabilities
A crucial parameter in the first transition is the critical wave integer defined in (2) which depends only on the aspect ratio . This dependence can be easily obtained explicitly from (2) by solving and the following lemma holds.
Lemma 1**.**
Define
[TABLE]
Then the critical integer defined implicitly by (2) is
[TABLE]
Numerical values of the first three , computed from (25), are
[TABLE]
We remark here that when the aspect ratio is critical, i.e. for some , the eigenvalues and with wave numbers and will become critical simultaneously. This type of transition was studied for the pure 2D Bénard convection in a rectangular container in [15] leading to competition among the pure -modes, the pure -modes and the mixed modes (superpositions of and modes).
The dispersion relation (22) is exactly the same as in [9] in which the thermohaline circulation problem is considered in a rectangular domain. Thus the following principle of exchange of stabilities follows directly from the corresponding one in [9].
Theorem 1**.**
Assume that and that the aspect ratio defined by (8) is not critical, i.e. for any , with as defined by (25). Consider , , and the integer defined by (1), (3), (2) and (26) respectively.
- (1)
If then is the first critical Rayleigh number and the first critical eigenvalue has multiplicity . Moreover the condition
[TABLE]
is satisfied. 2. (2)
If , let
[TABLE]
Then
[TABLE]
is the first critical Rayleigh number. Moreover the first two critical eigenvalues satisfy and each has multiplicity satisfying
[TABLE]
Since the sign of the parameter defined by (1) plays a crucial role in the transition, let us investigate it in some detail. For this let us define
[TABLE]
Then
[TABLE]
If , it is clear that and . From these observations, we find that
[TABLE]
at the criticality or , see also Figure 1.
4. Main Theorem and its Proof
In this section we describe the transitions of the system (11) to multiple equilibria. For simplicity, we will consider the cases for which the critical integer defined by (2) is or . The reason for this assumption is that the reduction to the center manifold, although still computable, becomes increasingly difficult to compute as is increased.
We recall that according to Lemma 2, the aspect ratio ratio must be in the range for the case and for the case.
Now let us define the following coefficients
[TABLE]
[TABLE]
[TABLE]
[TABLE]
In the above notation, is the coefficient arising from the nonlinear interactions of the critical modes, i.e. eigenmodes corresponding to the eigenvalue with all the modes corresponding to eigenvalue.
Theorem 2**.**
Assume the conditions of Theorem 1 and that or . Consider defined by (30) and (31). If then the basic solution is locally asymptotically stable.
- •
If then there is a continuous (Type-I) transition at and an attractor bifurcates on which is homeomorphic to the 2* dimensional sphere. consists of degenerate steady states and has the following approximation*
[TABLE]
Moreover there is an open neighborhood of [math] such that attracts where is the stable set of [math] of codimension .
- •
If then there is a drastic (Type-II) transition at and a repeller bifurcates on and no steady state solution bifurcates on .
4.1. Proof of the Main Theorem
The proof lies mainly on the reduction of the equation (11) onto the center manifold which is tangent to the critical eigenspace
[TABLE]
near the criticality and a careful analysis of the reduced equations. The condition is required in light of (24) so that consists of real valued functions.
Let
[TABLE]
Now a crucial element of the reduction procedure is the determination of the approximation of the center manifold function which captures the local dynamics near the criticality . We will make use of the following approximation of the center manifold, see [10],
[TABLE]
in our analysis. Here is the canonical projection onto the orthogonal complement, is the restriction of the linear operator in (11) onto and
[TABLE]
where .
According to (32), the center manifold is determined by the following nonlinear interactions of the critical modes
[TABLE]
where
[TABLE]
for , .
Due to (33), the integral of triple product of spherical harmonics
[TABLE]
plays a crucial role in the determination of the above nonlinear interactions. The coefficients are related to Clebsch-Gordan coefficients and are zero if
[TABLE]
or
[TABLE]
Since the critical modes always have wave index 1 in the z-direction, the product in (33) will vanish unless or . As a summary of the above remarks, we obtain the following expansion of the center manifold function
[TABLE]
where by (32),
[TABLE]
Next we carry out the computation of the center manifold coefficients in (35) for and separately. In both cases, we find
[TABLE]
for all and .
From (34) and (36), we may write the center manifold for as
[TABLE]
where,
[TABLE]
and , are given by (28).
From (34) and (36), we may write the center manifold for as
[TABLE]
Here
[TABLE]
and , are given by (28).
Now, we are ready to write down the reduced equations. We plug in into (11) and project the resulting equation onto to obtain
[TABLE]
Since where or , one gets right away that
[TABLE]
Also as , one gets and hence the equations (37) become
[TABLE]
for each .
We compactly present the results of tedious computations, both manual and by symbolic computation software, of the nonlinear terms in (38) for the cases and separately below. For the case, the reduced equations become
[TABLE]
where is defined as in (30).
For the case, the reduced equations are
[TABLE]
where is defined as in (31).
Since , letting
[TABLE]
the reduced equations (39) and (40) can be written compactly as
[TABLE]
By taking the product of (41) with and summing from to , we derive
[TABLE]
Since the critical eigenspace is dimensional which is odd, using Krasnosel’skii Theorem (see Theorem 1.10 in [8]) the existence of a bifurcated nontrivial steady state solution of the main equations at can be shown exactly as in [17].
In the case and case, from (42), it follows that as for all sufficiently small initial conditions. By the attractor bifurcation theorem in [8], the bifurcated attractor is homeomorphic to the dimensional sphere . Moreover since the main equations possesses -symmetry, this steady state solution will generate a set of steady states. Thus consists solely of steady state solutions which are all degenerate since the Jacobian determinant of the right hand side of (41) vanishes at the criticality for those steady state solutions. That proves the assertions of our main theorem.
5. Numerical Computations of the Transition Number
As shown in our main theorem, the type of first transition to multiple equilibria depends on a nondimensional parameter , which in turn depends on five system parameters: the aspect ratio , the Lewis number Le, the Prandtl number Pr, the thermal Rayleigh number R, the saline Rayleigh number . These parameters are related by the equation , where is given in (2) at the onset of transition, leaving four degrees of freedom in the determination of . Hence, in the following discussion we fix by the choice of other four parameters. Also the parameter regime we are interested in our main theorem is the region where is given by (1). According to (27) this corresponds to either regime or and regime, see Figure 1.
Our main theorems for and cases prove that the type of transition is governed by the parameters and , respectively. We recall that is the coefficient arising from the nonlinear interactions of the critical modes with all the modes corresponding to the eigenvalue.
We first present the numerical values of these nonlinear interaction terms when , , , , and , for the case (with ) in Table 1 and (with ) in Table 2.
Our numerical results in Table 1 and Table 2 strongly indicate that
[TABLE]
Thus the sign of given by (29) plays a crucial role in the determination of the transition to multiple equilibria. So we investigate the sign of in detail now. Recalling that , we observe that if and if . Thus we obtain, see also Figure 2,
[TABLE]
The above remarks suggest that and at least when R is away from . Hence the contribution to the transition number of the nonlinear interactions of the critical modes with the higher frequency modes is negligible compared to the interactions with zero wavenumber modes.
For , and in both and cases, we find that the transition is Type-I () if and Type-II () if as shown in Table 3, Table 4 and Figure 3 with . The numerical values of when is when , when and when . For , does not change sign and the transition is Type-I () for all R, see Figure 3.
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