Finite element approximation to the non-stationary quasi-geostrophic equation
Abstract
In this paper, -conforming element methods are analyzed for the stream function formulation of a single layer non-stationary quasi-geostrophic equation in the ocean circulation model. In its first part, some new regularity results are derived, which show exponential decay property when the wind shear stress is zero or exponentially decaying. Moreover, when the wind shear stress is independent of time, the existence of an attractor is established. In its second part, finite element methods are applied in the spatial direction and for the resulting semi-discrete scheme, the exponential decay property, and the existence of a discrete attractor are proved. By introducing an intermediate solution of a discrete linearized problem, optimal error estimates are derived. Based on backward-Euler method, a completely discrete scheme is obtained and uniform in time a priori estimates are established. Moreover, the existence of a discrete solution is proved by appealing to a variant of the Brouwer fixed point theorem and then, optimal error estimate is derived. Finally, several computational experiments with benchmark problems are conducted to confirm our theoretical findings.
Key words: Quasi-geostrophic model, Stream function formulation, Fourth-order evolution equation, Nonlinear PDEs, Ocean circulation model, New regularity results, Exponential decay property, Existence of attractor, conforming elements, Optimal error estimates, Numerical experiments.
1 Introduction
The stream function formulation of one layer non-stationary quasi-geostrophic (QG) equation in a bounded domain with boundary is to find the streamfunction defined in the space time domain such that
(1.1) |
with initial condition
(1.2) |
and boundary conditions
(1.3) |
Here, , is the diffusion coefficient, where is the Rossby number.
The QG equation plays an important role in the study of large scale wind-driven oceanic flow [21, 17, 25]. Despite the simplicity of the QG equation, the QG equation and its linear variants, such as the Munk equation, preserve many of the important features of the underlying oceanic flows, such as the western boundary currents, and the formation of gyres. Earlier in the literature, the problem (1.1) and (1.2) with boundary conditions and or periodic boundary conditions are considered. Those boundary conditions naturally split the problem into two second-order problems. Then, the existence, uniqueness, and existence of an attractor (see, [4, 8, 18, 24]) are studied. However, for the problem with boundary conditions (1.3), their analysis breaks down since the problem cannot be naturally split into two second order problems.
From a numerical point of view, there are several numerical results regarding wind-driven ocean circulation including QGE [7, 9, 26, 6, 13]. In [14, 10, 22, 12, 3], B-spline based finite element methods are investigated, but there remain difficulties for curved domains. In [9], a -conforming finite element method (FEM) is applied to (1.1) with boundary conditions (1.3) and a priori error estimates are established. Here, while -error estimate is optimal, the error estimates for -norm appears to be suboptimal. Recently, the authors in [13] considered a nonconforming Morley finite element method for the stationary QG equation and performed optimal a priori error analysis along with a posteriori error estimation.
In this article, we consider -conforming FEMs for the non-stationary QG equation with the no-slip boundary condition, . The analysis presented here can be applied to any -FEM, such as the Argyris element, the Bogner-Fox-Schmitt (BFS) element, the Hsieh-Clough-Tocher (HCT) element. While -conforming elements are relatively complex to implement, their high-order continuity allows simple formulation. With a suitable mapping from the reference element to a physical element, one can efficiently assemble the global matrix, see [16]. Also, compared to nonconforming methods of a similar order [12, 15], -FEMs typically yield smaller degrees of freedom due to their strong inter-element continuity and they are free from stabilization parameters.
We now briefly summarize the results derived in this article.
-
(i)
New regularity results are proved which show exponential decay property when the forcing function or exponentially decaying in time. When nonzero is independent of time, the existence of a global attractor is shown.
-
(ii)
Based on -conforming FEM to discretize in spatial directions, a semidiscrete problem is derived, uniform estimate in time as is proved and the existence of a discrete attractor is shown.
-
(iii)
Using elliptic projection, optimal error estimates in and -norms are established.
-
(iv)
Based on the backward Euler method, a completely discrete scheme is derived and existence of a unique discrete solution is proved using an uniform estimate in time of Dirichlet norm. A part from the existence of the discrete attractor, a priori error estimates are derived.
-
(v)
Finally, some numerical experiments on benchmark problems are conducted and results confirm our theoretical findings.
When either or decays exponentially, it is observed that all the results derived in this paper including error estimates have exponential decay properties.
In a recent related paper [1], authors have discussed -conforming VEM for the nonstationary Navier-Stokes equations in stream-function vorticity formulation and derived optimal error estimate in norm under smallness assumption on the data and using fixed point arguments. We remark here that the present analysis can be extended to include VEM with some appropriate modifications.
Throughout this article, we use the standard notation of Lebesgue spaces and Sobolev spaces with their respective norms and . Further, when , we apply the standard notation for Hilbert spaces like and with, respective, inner-products and , norms and . Moreover, is denotes by the seminorm. For a Banach space with norm , let or simply whenever there is no confusion.
The rest of the paper is organized as follows. In the next section, we derive some new regularity results and the existence of an attractor. In Section 3, -conforming FEMs are introduced. In Section 4, a priori error estimates are derived for -, -, and -norms. Then, the backward Euler method is applied to derive the fully discrete scheme in Section 5 with a priori error estimates in both space and time. Some numerical experiments are provided in Section 6 and concluding remarks are given in Section 7.
2 A priori estimates
The variational formulation that we shall use in this paper is to seek such that for almost all
(2.1) |
with , where the bilinear forms and the trilinear form are
This section deals with a priori bounds, estimates of an attractor, and some regularity results of the solution to (2.1).
The trilinear form satisfies
(i) | |||
(ii) | |||
(iii) |
Note that for or in , and for , .
The Ladyzhenskaya inequalities in two dimension are given by:
-
1.
For :
-
2.
For :
Since ,
where is the minimum eigenvalue of the eigenvalue problem in with homogeneous Dirichlet boundary condition. Moreover, if then
(2.2) |
For our subsequent use, we need the following inequality for
Since this proof is nonstandard, we sketch its proof. Note that using integration by parts
and the required result follows.
Lemma 2.1.
Assume that and . Then for , the following holds
where . Moreover, there holds
(2.3) |
Proof.
Remark 2.2.
Theorem 2.3 (Wellposedness).
Bernier [4] has discussed existence of a unique strong solution to problem (1.1) -(1.2) with boundary condition and . Using the Faedo-Galerkin method, below, we briefly indicate the proof of Theorem 2.3.
Proof.
Using the Faedo-Galerkin method and the a priori uniform bound as in Lemma 2.1 for the Galerkin approximations, standard weak and weak* compactness arguments with the Aubin-Lions compactness argument, see [2], one easily provides the proof of the existence of a solution. It, therefore, remains to prove the continuous dependence property. Let , be weak solutions of (2.4) with initial data . Setting , it follows that satisfies
Choose and notice that with . With the aid of Lemma 2.1, the Ladyzhenskaya inequality and Young’s inequality: with and , we arrive at
Integrate with respect to time and use Lemma 2.1 to obtain
An application of Gronwall’s Lemma with the bound from Lemma 2.1 yields
where generic constants depend on , , and . As a consequence, the uniqueness holds and this completes the rest of the proof. ∎
Remark 2.4.
The L’Hospital rule implies
Thus, by taking limit supremum in Remark 2.2 with , we obtain
Moreover, for and time-independent , we obtain
Integrating both sides from to for some ,
Hence, dropping the first nonnegative term and then taking limit supremum, we arrive at
2.1 Regularity results.
This subsection focusses on regularity results to be used in our subsequent analysis.
The following lemma which deals with the regularity of the biharmonic problem with Dirichlet data [5] is useful in proving the regularity result of this subsection.
Lemma 2.5 (Regularity of biharmonic equation).
For a polygonal domain with Lipschitz boundary and given function with , let solves in , then
The above result is also valid for the elliptic index , if, in addition, the domain is convex.
Moreover, if the domain is convex with all interior angles less than , then there holds for
Theorem 2.6 (Regularity).
Given and , the following estimate holds for all
where is a positive constant depending on , and .
Proof.
Let be eigenvalues and be corresponding orthonormalized eigenvectors of in with homogeneous Dirichlet boundary conditions. The set of eigenvectors forms a basis in , and . Setting , define as a solution of
(2.5) |
with . Differentiate with respect to time (2.5) and obtain
(2.6) | ||||
Multiply (2.6) by , then sum up form from to to arrive at
An application of skew-symmetric property of and yields
(2.7) |
To estimate the first term on the right hand side of (2.7), a use of the generalized Hölder inequality with the Ladyzhenskaya inequality, boundedness of and the Young’s inequality with , , and show
(2.8) |
Moreover, an application of the Young’s inequality implies
Substitute (2.1) in (2.7). Then, multiply by and use kickback arguments to arrive at
By (2.2), , we obtain after integration with respect to time
An application of the Gronwall’s Lemma with multiplication by shows
(2.9) | ||||
It remains to show the estimate , we note using
and
that
(2.10) |
A use of (2.3) of Lemma 2.1, which is also valid for the Galerkin approximation to (2.9) with yields
Taking limit as , we obtain for all
This concludes the rest of the proof. ∎
Hence forth, the arguments and estimates given in this subsection are formal and these can be justified rigorously following the usual Galerkin type procedure as in Theorem 2.6, and then passing to the limit.
Theorem 2.7.
Let and with . Then, there is a positive constant depending on and such that for all for
Moreover, if we further assume that then for
(2.11) |
Proof.
Note that from the main equation (1.1) with
(2.12) |
and elliptic regularity result
(2.13) |
In order to estimate the second term on the right hand side of (2.1), recall the definition of . After we use generalized Hölder’s inequality with where and .
Finally, the Sobolev imbedding theorem and shows
Note that and hence, . Then, from elliptic regularity Lemma 2.5, we obtain . Since with is continuously embedded in , there holds
This implies . Therefore, . Now, an application of elliptic regularity Lemma 2.5 shows
The following theorem focusses on the regularity results which will be needed in our error analysis.
Theorem 2.8.
Let and Then there is a positive constant depending on and such that for all and for
(2.14) |
Moreover, for
Proof.
Differentiate equation (1.1) with respect to time. After multiplying to the both sides and integrate over , we arrive at
(2.15) |
The second term on the right hand side is bounded by
(2.16) |
For the last two terms are bounded by
(2.17) |
On substitution of (2.16) and (2.1) in (2.1) with kick back argument, then integrate with respect to time with Theorems 2.6–2.7 with yields
(2.18) |
As in the proof of Theorem 2.7, using the estimates of the Theorem 2.6, we complete the rest of the proof. ∎
The last theorem of this subsection deals on the regularity results to be used subsequently.
Theorem 2.9.
Let , , and . Then there is a positive constant depending on and such that for all and for
(2.19) |
where Moreover, for
Proof.
On differentiating the equation (1.1) with respect to time twice and then forming an inner-product with , using the property of the trilinear form and property of , it now follows that
For the first term on the right hand side of (2.1), note that and The second term on the right hand side is bounded by
(2.20) |
The third term is bounded by
(2.21) |
On substitution of (2.1) and (2.21) in (2.1), use kick back argument and integration with respect to time with multiplication of to obtain
(2.22) |
A use of the estimates in Theorems 2.6–2.8 completes the proof of the estimate (2.19). Proceed in a similar manner as in the proof of the Theorem 2.7 to complete the rest of the proof. ∎
Remark 2.10.
The results of Theorem 2.9 hold for under higher regularity on the initial data , that is, under some compatibility conditions.
Remark 2.11.
If , then the following regularity results hold
If decays exponentially, then also the exponential decay property holds. Moreover, if and , then error is bounded for all .
2.2 Absorbing set and global attractor.
This subsection is on the study of the dynamics of the system (1.1)–(1.3) under the assumption that is time independent.
Let for be the solution operator form which takes into . This family forms a semigroup of operators on . Below, we discuss the main result of this subsection.
Lemma 2.12.
With there exists such that the ball is absorbing in in the sense that for , there exists such that for ,
Proof.
Let . Then, from Lemma 2.1, we obtain
With , it follows that
Choosing
We now obtain , that is, . For , the result follows trivially for all . Therefore, is an absorbing set in . This proves the theorem. ∎
3 Finite element method
In this section, -conforming FEM is applied to problem (2.1). Then, for the corresponding semi-discrete section, we discuss the existence of a discrete attractor. Let be a shape regular partition of where with . A general -conforming FE space is defined by
where is a piecewise polynomial space. We say is of degree if consists of piecewise polynomial up to degree .
Remark 3.1.
Each of -finite element space leads to different definition for , , and .
-
•
When is a triangular partition and is a piecewise cubic polynomial space over a collection of sub-triangles of with , is a Hsieh-Clough-Tocher (HCT) element.
-
•
When is a triangular partition and is piecewise quintic polynomial space over with , is an Argyris element.
-
•
When is a rectangular partition and is piecewise bi-cubic polynomial space over with , is a Bogner-Fox-Schmit (BFS) element.
Denote as the interpolation operator with the following property: For , there is a positive constant , independent of , such that for
(3.1) |
The semi-discrete problem after applying the -conforming FEM is to seek such that
(3.2) |
with to be defined later. Since is finite dimensional, (3.2) leads to a system of nonlinear ODEs. As is locally Lipschitz function, an application of Picard’s theorem yields the existence of a unique local discrete solution for for some . For applying continuation argument so that solution can be continued for all , we need to derive an a priori bound on for all .
Lemma 3.2 (A priori bound).
Let be the initial condition for the discrete problem such that . Then, for all and for , the following estimate holds:
(3.3) |
where . Moreover,
(3.4) |
Proof.
Choose in (3.2). Since and , multiply to the both sides to arrive at
Use the kick-back argument and then integrate from to and multiply with the bound of to complete the estimate (3.3).
In order to estimate (3.4), first drop the first term on the left hand side as it is nonnegative and then take the limit superior. An application of L’Hospital rule yields the desired estimate and this concludes the rest of the proof. ∎
When is time independent, following the proof of Lemma 3.2, we easily obtain
Therefore following the continuous case, we derive the following result on the existence of a discrete absorbing set.
Corollary 3.3.
There exists a bounded absorbing ball where is given by .
For the semi-discrete solution, assume that the following estimate hold:
This proof will be on the lines of the regularity results proved for the continuous problem, and it involves an introduction of discrete biharmonic operator with analysis quite tedious, therefore, we refrain from giving a proof of it.
4 Error estimates for the semi-discrete problem.
This section focusses on optimal error estimates in -norm, for the semi-discrete problem (3.2).
4.1 Elliptic projection.
In order to obtain optimal order of convergence, we split the total error as
where is an elliptic projection, which is defined as follows: Given , find satisfying
(4.1) |
where is a linearized operator given by
for a large positive to be defined later. Note that satisfies boundedness
(4.2) |
and coercive with sufficiently large . For , we have
Choose large enough so that . Then with
(4.3) |
Thus, for a given , the Lax-Milgram theorem yields the existence of a unique . Below, we discuss estimates of .
Lemma 4.1.
There holds for
for
and for
Proof.
From the coercivity (4.3), the boundedness (4.2), and the definition of (4.1), we arrive at
and hence, using interpolation property (3.1), it follows for all that
(4.4) |
We now appeal to the Aubin-Nitsche duality argument. For given , solves the adjoint problem
(4.5) |
with the following elliptic regularity for
(4.6) |
Setting and in (4.5) and it follows for
Hence, a use of the elliptic regularity results for with interpolation error estimate (3.1) yields
and estimate follows from
In addition, assume that the adjoint problem satisfies the following elliptic regularity result for
(4.7) |
A similar results hold for the estimate of .
Lemma 4.2.
There is a positive constant such that for
(4.11) |
for
(4.12) |
and for
(4.13) |
4.2 A priori error estimates.
In this subsection, optimal error estimates are derived.
Since , triangle inequality yields
As the estimate of is known from Lemma 4.1, it is enough to estimate . From (2.1), (3.2) and the property (4.1), we obtain
(4.14) | ||||
where
Note and as . In the remainder of this paper, we denote
Lemma 4.3.
There holds
(4.15) |
Proof.
Substitute in (4.14) and use with the Poincarè inequality and to obtain
(4.16) |
To estimate the last term on the right-hand side, apply the Ladyzhenskaya’s inequality with the Young’s inequality to arrive at
(4.17) | |||||
Moreover, for the first term on the right hand side of (4.15), a use of the Young’s inequality shows
(4.18) |
On substitution of (4.17) and (4.18) in (4.16), an application of the Gronwall Lemma yields
For the integral term appeared in the exponential, it follows using boundedness of that
This completes the rest of the proof. ∎
Finally, using triangle inequality with Lemma 4.3 and (4.1), we derive the main theorem on error analysis.
Theorem 4.4.
As a consequence of Lemma 4.3, if we choose as elliptic projection at , then . With higher regularity, that is, , there holds the following superconvergence result:
(4.19) |
Application of the triangle inequality then yields the following optimal error estimate in
Corollary 4.5.
In addition, if we assume that the mesh is quasi-uniform and the error in the elliptic projection for satisfies
Then, a use of superconvergence result (4.19) with the discrete Sobolev inequality,
shows the following maximum norm estimate for
Remark 4.6.
Remark 4.7.
When or exponentially decays in time, the error decays exponentially in time. Moreover, if then from the regularity results, it is easy check that that is, becomes a constant, independent of time. Therefore, error analysis is valid uniformly in time. However, if then and term appears in the error analysis, making it local. Like in Navier-Stokes equations, it may be possible to prove the uniform validity of the error estimates with respect to time under the smallness assumption of the data.
5 Backward Euler Method
This section discusses a fully discrete scheme based on the backward Euler method applied to the semi-discrete problem and derives its convergence analysis.
Let be the time step and , . For a continuous function on time, let . Then, the backward Euler scheme is to find , such that
(5.1) |
where Since is finite dimensional, at each time level , (5.1) leads to a system of nonlinear algebraic equations. Therefore, we need to discuss existence and uniqueness result for the fully discrete system.
5.1 Uniform a priori bounds.
This subsection is on a priori bounds of the discrete solution, which are valid uniformly in time.
Lemma 5.1.
With , choose so that satisfying . Then for
where
Proof.
Choose in (5.1). Note that , and
(5.2) |
Then after multiplying by and with , it follows that
Observe that
(5.3) |
Apply the Poincaré inequality to arrive at
With , take summation with respect to up to , and use Then, multiply the resulting equation by to obtain
This completes the rest of the proof. ∎
In order to estimate , following Pany et al. [20], we shall apply the following counterpart of the L’Hospital rule. For a proof, see pp. 85–89 of [19].
Theorem 5.2.
(Stolz-Cesaro Theorem). Let be a sequence of numbers, and let be a strictly monotone and divergent sequence. If
then
In the estimate of Lemma 5.1, now set and . Then, an appeal to the Scholz-Cesaro theorem yields
and hence,
As a consequence, it is possible to find some large so that for
5.2 Wellposedness and existence of discrete attractor.
For its wellposedness, we appeal to the following variant of the Brouwer fixed point theory. For proof, see Kesavan [11].
Lemma 5.3.
Let be a finite dimensional Hilbert space with inner product and norm . Further, let be a continuous map from into itself such that for all with . Then, there exists with such that .
Theorem 5.4.
Assume that are given. Then there exists a unique solution of (5.1).
Proof.
In order to apply Lemma 5.3, set and define as
(5.4) | ||||
Choose in (5.4), then with and , we arrive at
Now choose so that . Therefore, an application of Lemma 5.3 yields existence of such that . For uniqueness, let and be two solutions of (5.1). Setting , it satisfies
(5.5) |
Choose in (5.5), then we obtain
(5.6) |
Since is skew-symmetric, it remains to estimate the last term on the right-hand side.
Here, we have used and boundedness of . On substitution, summation on from to with yields
Choose large so that . Then, for small , and we now arrive at
Apply the discrete Gronwall inequality to infer , that is which implies uniqueness. ∎
Remark 5.5.
From Theorem 5.4, given , there is a unique solution which in turn, defines a map such that which is continuous.
As a consequence, we obtain the following result.
Corollary 5.6.
There exists a bounded absorbing set
where
in the sense that for , there is such that for all ,
The proof goes parallel to the continuous case. For simplicity, we indicate its proof briefly.
Proof.
We now claim that if for some , then there exists depending on such that for , the discrete solution lies in . Observe from Lemma 5.1 that
(5.7) |
To complete the first part of the proof, it is sufficient to show that
and this holds provided there is . For , the result holds trivially. This completes the rest of the proof. ∎
5.3 A priori error analysis of the fully discrete scheme.
This subsection focuses on optimal error estimates of the fully discrete scheme.
Since and the estimate of is known from Section 4, it is now enough to estimate Now from the semi-discrete problem (3.2) and the fully discrete scheme (3.2), we obtain with an equation in for as
(5.8) | ||||
where
(5.9) |
Below, we state and prove the main theorem of this section.
Theorem 5.7.
Let , and let satisfies . Then, there exists a positive constant , independent of , such that for
Proof.
Set in (5.8). We use (5.2) and (5.3) by replacing by and skew-symmetricity of to obtain
(5.10) | ||||
(5.11) |
where . Here, we used the Poincaré inequality, generalized Hölder’s inequality and Young’s inequality as in Lemma 5.1. On summing up (5.10) from to , we obtain with
(5.12) |
From the definition (5.9), it follows that
(5.13) |
Substitute (5.13) in (5.3) to arrive with smallness of at
An application of the Gronwall’s Lemma now yields
This completes the rest of the proof. ∎
6 Numerical Experiments
This section focusses on several numerical experiments on benchmark problems and then on their results confirming our theoretical findings.
For discrete conforming space, we choose Hsieh-Clough-Tocher (HCT) macro-element which is a piecewise cubic polynomial space on each sub-triangle.
6.1 Convergence rate
Since we consider the backward Euler method, the time discretization error yields . Therefore, the expected optimal error for a smooth function is, for ,
To verify convergence order of space discretization error, we compare error at the final time measured in -, -, and -norm with varying and fixed . Here, is chosen small so that the error from time discretization can be neglected. The tested solution is defined by
with , , and . is chosen so that the solution satisfies (1.1). Convergence history with respect to the degrees of freedom is reported in Figure 1.

We have for which comply with the results in Theorem 4.4.
6.2 Exponential decaying with no force
This subsection is on the verification of the exponential decaying property of the solution when . Consider a closed rectangular basin, . With initial condition , we observe for with various and . The results with and are reported in Figure 2.


As expected in Remark 2.11, the solution converges to 0 exponentially regardless of the choice of and . However, the rate of decay depends on and . Note that is the vorticity diffusion coefficient and is the convection speed. Therefore, with homogeneous boundary condition, we can expect that the solution converges to 0 faster, when and are large. The numerical results conform with this heuristic.
6.3 Attractor with time-independent force
Finally, we observe the dynamics of stream function when is given as a non-trivial time-independent function. For simplicity, we choose and which is a simplified wind shear stress, see [6, 23].


In Figure 3, it is observed that the solution converges to a point attractor when is relatively large, i.e., relatively small . On the other hand, when is relatively small, the energy locally fluctuates and does not converge to a stationary solution. This indicates that solution transits from a laminar flow to a turbulent flow as varies. Profiles of solution at are depicted in Figures 4–6 for , respectively, with . The solution converges to a stationary solution when where the solution slightly skewed to the western boundary. Also, the solution is almost symmetric with respect to the line . For , the solution oscillates and does not converge to a stationary solution. However, it still maintains symmetric behavior. When , upper gyres and lower gyres are mixed and the solution shows chaotic behavior.












7 Conclusion
In this study, we introduce a family of -conforming finite element method for the evolutionary surface QG equation. A priori estimates for the continuous solution are provided. The existence of a global attractor is established and remarks with some special cases, or time-independent, are provided. The optimal convergence for -conforming finite element method is derived, which also covers low regularity. Similarly to the continuous case, the finite element solution also converges to a discrete attractor as . The optimal convergence with a smooth solution is verified numerically with HCT-element. The exponential decaying property with various choice of physical parameters is observed when . With non-zero time-independent , the solution shows stable behavior with the bounded energy. When is between and , the energy fluctuates locally which shows that the solution becomes a turbulent flow rather than a laminar flow.
In the future, we extend our method to the multi-layer surface QG equations to cope with a vertically inhomogeneous flow. Nonconforming finite element methods will be also considered to avoid the complicate implementation of -finite element. The theoretical findings in this study will result in the guidance of the future study.
References
- [1] D. Adak, D. Mora, S. Natarajan and A. Silgado. A virtual element discretization for the time dependent Navier-Stokes equations in stream-function vorticity formulation. ESAIM: M2AN, 55: 2535–2566, 2021.
- [2] J.-P. Aubin. Un théorm̀e de compacité. C. R. Acad. Sci. Paris., 256:5042–5044, 1963.
- [3] I. A. Balushi, W. Jiang, G. Tsogtgerel, and T.-Y. Kim, A posteriori analysis of a B-spline based finite-element method for the stationary quasi-geostrophic equations of the ocean. Comput. Methods Appl. Mech. Eng., 371:113317, 2020.
- [4] C. Bernier. Existence of attractor for the quasi-geostrophic approximation of the Navier-Stokes equations and estimate of its dimension. Adv. Math. Sci. Appl., 4(2):465–489, 1994.
- [5] H. Blum, R. Rannacher, and R. Leis. On the boundary value problem of the biharmonic operator on domains with angular corners. Math. Methods Appl. Sci., 2(4):556–581, 1980.
- [6] K. Bryan. A numerical investigation of a nonlinear model of a wind-driven ocean. AMS, 20(6):594–606, 1963.
- [7] M. D. Chekroun, Y. Hong, and R. M. Temam. Enriched numerical scheme for singularly perturbed barotropic quasi-geostrophic equations. J. Comp. Phy., 416:109493, 2020.
- [8] V. Dymnikov, Ch. Kazantsev, and E. Kazantsev. On the “genetic memory” of chaotic attractor of the barotropic ocean model. Chaos, Solitons and Fractals, 11:507–532, 2000.
- [9] E. L. Foster, T. Iliescu, and D. Wells. A conforming finite element discretization of the stream function form of the unsteady quasi-geostrophic equations. IJNAM, 13(6):951–968, 2016.
- [10] W. Jiang and T.-Y. Kim, Spline-based finite-element method for the stationary quasi-geostrophic equations on arbitrary shaped coastal boundaries. Comput. Methods Appl. Mech. Eng., 299:144–160, 2016.
- [11] S. Kesavan. Topics in functional analysis and applications. Wiley, 1989.
- [12] D. Kim, T.-Y. Kim, E.-J. Park, and D.-w. Shin. Error estimates of B-spline based finite-element methods for the stationary quasi-geostrophic equations of the ocean. Comput. Methods Appl. Mech. Engrg., 335:255–272, 2018.
- [13] D. Kim and A. K. Pani and E.-J. Park. Morley finite element methods for the stationary quasi-geostrophic equation, Comput. Methods Appl. Mech. Engrg., 375:113639, 2021.
- [14] T.-Y. Kim, T. Iliescu, and E. Fried, B-spline based finite-element method for the stationary quasi-geostrophic equations of the ocean. Comput. Methods Appl. Mech. Eng., 286:168–191, 2015.
- [15] T.-Y. Kim, E.-J. Park, and D.-w. Shin. A C0-discontinuous Galerkin method for the stationary quasi-geostrophic equations of the ocean. Comput. Methods Appl. Mech. Engrg., 300:225–244, 2016.
- [16] R. C. Kirby and L. Mitschell. Code generation for generally mapped finite elements. ACM Trans. Math. Softw., 45(4):41, 2019.
- [17] J. McWilliams. Fundamentals of Geophysical Fluid Dynamics Cambridge University Press, Cambridge, 2006.
- [18] T. T. Medjo. Pullback attractors for the multi-layer quasi-geostrophic equations of the ocean. Nonlinear Anal. Real World Appl., 17:365–382, 2014.
- [19] M. Muresan. A concrete approach to classical analysis. CMS Books in Mathematics, 2009.
- [20] A. K. Pany, S. K. Paikray, S. Padhy, and A. K. Pani. Backward Euler schemes for the Kelvin-Voigt viscoelastic fluid flow model. IJNAM, 14:126–151, 2017.
- [21] J. Pedlosky. Geophysical Fluid Dynamics. Springer Science & Business Media, New York, 2013.
- [22] N. Rotundo, T.-Y. Kim, W. Jiang, L. Heltai, E. Fried, Error analysis of a B-spline based finite-element method for modeling wind-driven ocean circulation. J. Sci. Comput., 69(1):430–459, 2016.
- [23] H. U. Sverdrup. Wind-driven currents in a baroclinic ocean; with application to the equatorial currents of the eastern pacific. Proc. Natl. Acad. Sci. U. S. A., 33(11):318–326, 1947.
- [24] R. Temam. Attractors of the Dissipative Evolution Equation of the First Order in Time: Reaction–Diffusion Equations. Fluid Mechanics and Pattern Formation Equations, pages 82–178. Springer New York, New York, NY, 1997.
- [25] G.K. Vallis. Atmosphere and Ocean Fluid Dynamics: Fundamentals and Large-scale Circulation. Cambridge University Press, Cambridge, 2006.
- [26] G. Veronis. Wind-driven ocean circulation — part 2. numerical solutions of the non-linear problem. Deep Sea Research and Oceanographic Abstracts, 13(1):31–55, 1966.