Abstract
Taking into account the coupling of the ocean with the atmosphere is essential to properly describe vortex dynamics in the ocean. The forcing of a circular eddy with the relative wind stress curl leads to an Ekman pumping with a nonzero area integral. This in turn creates a source or a sink in the eddy. We revisit the two point vortex-source interaction, now coupled with an unsteady wind, leading to a time-varying circulation and source strength. Firstly, we recover the various fixed points of the two vortex-source system, and we calculate their stability. Then we show the effect of a weak amplitude, subharmonic, or harmonic time variation of the wind, leading to a similar variation of the circulation and the source strength of the vortex sources. We use a multiple time scale expansion of the variables to calculate the long time variation of these vortex trajectories around neutral fixed points. We study the amplitude equation and obtain its solution. We compute numerically the unstable evolution of the vortex sources when the source and circulation have a finite periodic variation. We also assess the influence of this time variation on the dispersion of a passive tracer near these vortex sources.
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1 INTRODUCTION
Vortices are essential features in ocean dynamics [5, 6]. They are ubiquitous at least at the ocean surface [8] and they contribute substantially to the meridional heat and momentum transfer. Large oceanic vortices have a moderate Rossby number (the ratio between the Coriolis parameter and the inertial accelerations) and a finite Burger number (which measures the relative influences of global rotation and of fluid stratification). Such vortices have been accurately studied using the quasi-geostrophic (QG) model. In particular, the stability of isolated QG-vortices, and QG-vortex interactions have been investigated, see [7, 9, 10, 17, 18, 19, 20, 23, 24]. The simplest vortex interaction occurs between pointwise structures. Point vortex interaction has also been the subject of many studies investigating, in particular, the onset of Hamiltonian chaos [2, 11, 14, 12, 13, 15, 25]).
Recent studies of oceanic vortices have shown the importance of taking into account the oceanic flow in the atmospheric forcing terms for a proper evaluation of the strength and durability of these vortices [21]. Also, the Gulf Stream latitude of detachment from the coast and its eastward extent have been proved to be sensitive to a wind forcing properly taking into account the presence of vortices [22].
In the present study, we explore the consequence of taking into account the relative wind stress on a vortex. We show that a source/sink flow component appears in the vortex flow. We analyze the interaction of two identical point vortex sources (or vortex sinks) in an external deformation flow mimicking the influence of neighbouring vortices. The motion of point-vortex sources has already been addressed in previous studies [3, 4]. The first paper lists the integral invariants of the problem and the cases of integrability of the equations. It then describes the motion of two point vortex sources. The second paper lists the fixed points of two vortex sources in a deformation flow and briefly addresses the case of a time-varying deformation flow.
In Section 2, we complement these studies by considering that, due to the interaction of the wind with the vortex sources, both the source strength and the vortex circulation vary periodically in time. In Section 3, we look at the dynamical system and compute the equilibrium points and their stability. In Section 4, we follow the method of [15], a multiple time expansion, to obtain an amplitude equation for the slow time variation of the position of each vortex source and we study this amplitude equation with respect to this time variation of the vortex source and circulation. Finally, we model numerically the evolution of the two point vortex sources and of passive particles moving around them in Section 5. Conclusions, perspectives and physical interpretations are finally provided in the last section.
2 MODELLING THE RELATIVE ATMOSPHERIC FORCING OF A VORTEX FLOW
2.1 Basic Equations
The linearized momentum equations on the \(f\)-plane for an ocean, forced by a wind stress \(\vec{\tau}\), are
where \(k\) is a friction coefficient (a necessary loss of energy of this ocean to balance the momentum input by the wind).
For low frequency, low Rossby number motions, we neglect the relative acceleration and replace the pressure gradient by a geostrophic velocity:
Using the subscript “a” for the ageostrophic velocity \(u_{a}=u-u_{g}\), we have
Taking the curl of the system (2.3), we obtain
Thus, we see that the wind stress curl \(\vec{\tau}\) can have an influence on both the vorticity \(\omega=\nabla\times u\) and the velocity divergence \(\nabla\cdot u\) (the source-sink term). In particular, if the wind has a steady or a time-varying component, it will induce steady or time-varying velocity divergence and curl. This source-sink effect is next explained in more detail.
2.2 The Relative wind Stress Curl
Recent work [21] has shown that, for the ocean mesoscales, and in particular for the dynamics of oceanic vortices, the wind stress should be computed using the relative velocity of the air to the ocean:
(hereafter referred to as relative wind stress) rather than the total wind velocity
(the absolute wind stress). In these expressions, \(\rho_{\text{air}}\) is the density of the air, \(C_{D}\) is the drag coefficient (about \(1.5\ 10^{-3}\) for \(|\vec{u}_{\text{air}}|=15\ \) m/s), \(\vec{u}_{\text{air}}\) is the wind velocity, and \(\vec{u}_{\text{ocean}}\) is the velocity of the oceanic currents.
In what follows, we estimate the difference induced by taking the relative rather than the absolute wind stress, using a simple configuration:
-
a zonal and horizontally sheared wind \(\vec{u}_{\text{air}}=(U_{0}-qy)\vec{i}\).
-
a circular vortex oceanic flow \(\vec{u}_{\text{ocean}}=\Upsilon r\vec{e}_{\theta}\) for \(0<r<R\) (we neglect the vortex deformation due to the wind, in this simple estimate), where \(\vec{e}_{\theta}\) is the tangential vector to the circle, \(R\) is the vortex radius and \(\Upsilon\) (capital upsilon) is the vortex rotation rate.
From there, we can compute the relative wind stress through
so
We next assume that \(qR/U_{0}\sim\Upsilon R/U_{0}\sim\varepsilon\) (in practice on the order of \(10^{-2}\)). Setting
we find via a Taylor expansion that
where \(\tau_{0}=\rho_{\text{air}}C_{D}U_{0}^{2}\).
The wind stress curl is evaluated at orders \(0\), \(\varepsilon\), \(\varepsilon^{2}\). The first two orders give
The effect of the atmosphere-ocean coupling becomes apparent. In the absence of wind shear (\(q=0\)), the curl of \(\tau\) at order \(\varepsilon^{1}\) would be null for an absolute wind stress.
The presence of a wind stress curl leads to an Ekman vertical velocity (Ekman pumping):
where \(\rho_{o}\) is the seawater density.
It should be noted that, from this expression, one can compare the effect of the relative wind stress to the effect of the Earth’s curvature on the Ekman vertical velocity. The former is
while the latter is
Using \(\Upsilon\sim q\sim 10^{-5}\text{s}^{-1}\) and \(U_{0}=15\) m/s, one obtains that the Ekman vertical velocity due to the absolute wind stress is about 30% of the one due to the relative wind stress.
2.3 Ekman Pumping and Point Vortex Sources
We next calculate the source/sink magnitude \(S_{0}\) associated with the Ekman vertical velocity. To compute the order of magnitude, we assume here that the source/sink term \(S_{0}\) and the circulation of the vortex \(\Gamma_{0}\) are decorrelated. Assuming that the Ekman pumping is uniform over the vortex area, we can calculate the order of magnitude for \(S_{0}=S\pi R^{2}\ w_{E}\).
We can also compare the radial velocity thus created, \(v_{R}=S_{0}/(2\pi RH)\), to the vortex velocity \(v_{\theta}=\Upsilon R\). With \(R=15\) km, the radial velocity is of the order of \(2.25\ 10^{-3}\) m/s, while the azimuthal velocity is \(v_{\theta}=0.15\) m/s. The source/sink magnitude \(S_{0}\) is therefore about 1.5% that of the circulation \(\Gamma_{0}\).
Note that such vortices are not identical to vortices in a stratified ocean with free density interfaces. Such vortices, in a steady circular configuration, would have no vertical velocity.
Hereafter we assume that the vortex sources are point vortex sources. This is a strong assumption which would, in practice, suppress the effect of the wind stress curl. In fact, this point-vortex assumption means that we only study the vortex motion and not its deformation.
3 INTERACTION OF TWO POINT VORTEX SOURCES
The study of this interaction proceeds in two steps. Firstly, we consider a steady wind and so constant circulation \(\Gamma_{0}\) and source/sink magnitude \(S_{0}\). Secondly, we consider a time-oscillating circulation \(\Gamma(t)\) and address the vortex motion via a multiple time scale method.
3.1 Equations of Motion
We consider two similar vortex sources in the plane (see Fig. 1) on which an external deformation flow acts. This external flow mimicks the effect of surrounding vortices or currents. This problem is analytically tractable, in particular, if we assume central symmetry. Using this symmetry, we derive the equations for only one of the two vortex sources. Vortex source 1 has polar coordinates \((r,\theta)\) and, by symmetry, the second vortex source has \((r,\theta+\pi)\).
Vortex-source 1 is submitted to the influence of:
-
vortex-source 2:
$$\left\{\begin{aligned} &\displaystyle\dot{r}=\frac{S_{0}}{2\pi(2r)},\\ &\displaystyle r\dot{\theta}=\frac{\Gamma_{0}}{2\pi(2r)}\end{aligned}\right.$$(3.1) -
the external deformation flow composed of a global rotation and a strain:
$$\left\{\begin{aligned} &\displaystyle\dot{r}=rA\cos(2\theta),\\ &\displaystyle r\dot{\theta}=r\Omega-rA\sin(2\theta).\end{aligned}\right.$$(3.2)
The vortex-source motion is therefore governed by
All the physical parameters (\(S_{0},\Gamma_{0},\Omega,A\)) are assumed to be nonzero.
3.2 Equilibrium Points and Stability
3.2.1 Preliminaries
The equilibrium points \((r_{0},\theta_{0})\in\mathbf{R}^{*}_{+}\times[-\frac{\pi}{4},\frac{3\pi}{4}[\) satisfy:
Let \((r_{0},\theta_{0})\) be an equilibrium. To determine its stability, we calculate the Jacobian matrix \(\mathrm{D}_{(r_{0},\theta_{0})}\mathbf{u}\) from the velocity field:
Its characteristic polynomial is
Depending on the sign of
we have a neutral (or center) equilibrium point (if \(\Delta_{0}<0\)) or a saddle equilibrium point if \(\Delta_{0}>0\).
Since saddle points are unstable, and since we wish to describe the long-term evolution of the weakly perturbed vortex-source system (see the following section), we only consider neutral equilibria. A necessary condition for the existence of a center then appears:
(if \(\Gamma_{0}\Omega>0\), the vortices diverge to infinity along the \(x\) or \(y\) axis). Hereafter, we assume that this condition is satisfied (unless otherwise stated).
Remark 1.
Considering the oceanic case, where \(S_{0}\ll\Gamma_{0}\), the condition on \(\Delta_{0}\) for the existence of a center becomes approximately \(\Gamma_{0}^{2}+4\pi r_{0}^{2}\Gamma_{0}\Omega<0\).
3.2.2 Existence of a neutral equilibrium point
First, we calculate the position of the equilibria from the system (3.4):
implies \(\tan(2\theta_{0})=-\frac{\Gamma_{0}+4\pi r_{0}^{2}\Omega}{S_{0}}\). Because the function \(\left]-\frac{\pi}{2},\frac{\pi}{2}\right[\longrightarrow\mathbf{R}\), \(x\mapsto\tan(2x)\) is not injective, we cannot decide analytically (using this method of analysing necessary conditions) if we have
or
But this is not a numerical difficulty since the equilibrium points are clear in a streamfunction plot.
Squaring and summing the two equations in (3.10) gives a biquadratic equation in \(r_{0}\)
From this equation, several equilibria can be found (they are detailed in Appendix A). The only equilibrium point which is a center is determined by
where \(\Delta^{\prime}=A^{2}\left(S_{0}^{2}+\Gamma_{0}^{2}\right)-S_{0}^{2}\Omega^{2}=S_{0}^{2}\left(A^{2}-\Omega^{2}\right)+A^{2}\Gamma_{0}^{2}\) and where the additional \(+\frac{\pi}{2}\) depends on the sign of \(S_{0}\). This is valid under the conditions
Remark 2.
These conditions do not depend on the sign of \(S_{0}\). This will allow us to choose \(S_{0}\) as a source or a sink with the same intensity.
The various equilibria and their nature depending on the four physical parameters are shown in Fig. 2. This figure shows the presence of an attractive or a repulsive center at the origin of the plane when the source flow is strong (this equilibrium will not be considered further because it corresponds to the final position of the two vortex sources after a merging event). Two saddle points exist when the source flow is weak and when the strain flow is strong. Finally, two centers appear for weak external flow and weak source intensity, and when conditions (3.15) are satisfied.
Remark 3.
With \(\Gamma_{0}<0,S_{0}<0\), \(\Omega>A>0\), the oceanographic limit \(|S_{0}|\ll|\Gamma_{0}|\) leads to the following approximation for the center position: \(\theta_{0}\approx\pi/4\), \(r_{0}\approx\sqrt{-\Gamma_{0}/[4\pi(\Omega-A)]}\). Note that, though \(S_{0}\) is not infinitesimal in Fig. 2, the orientation of the centers corresponds to this solution in the upper left case.
4 VORTEX MOTION WITH UNSTEADY CIRCULATION AND SOURCE-SINK MAGNITUDE
This section is devoted to the motion of a source-sink pair with a periodic circulation and source magnitude, due to the effect of an equally periodic wind stress. This wind stress is assumed to have a dominant steady component and a weak periodic component. In this section, we first address the case of a subharmonic time variation of \(\Gamma\) and of \(S\) with respect to the period of rotation of a vortex source around the neutral equilibrium point.
4.1 Weakly Nonlinear Evolution of the Vortex Pair Displaced from a Center with a Subharmonic Variation of Circulation and Source
We consider a center point defined by Eq. (3.14) that we slightly perturb from its equilibrium position. Computed from Eq. (3.7), the natural pulsation of the motion around this center is
4.1.1 Multiple time scale development
In this subsection, we assume that the wind stress leads to a subharmonic variation of system (3.3) with circulation and source-sink magnitude:
The algebra for this subharmonic case is detailed here and in Appendix B. To simplify notations, we introduce the constants
such that \(a^{2}+bc=-\omega_{0}^{2}\).
Remark 4.
For an oceanic point vortex source, \(|S_{0}|\sim 1.5\%|\Gamma_{0}|\), so \(a\ll b\) and \(a\ll c\). Although this is not done here, we could use this to make approximations in the following computations. In Appendix B, we can see that the quotient rates \(a/b\) and \(a/c\) appear frequently.
The equation of motion is expanded at higher order in \(\varepsilon\) than in the previous section. Close to \((r_{0},\theta_{0})\), we expand in \(\varepsilon\) the time \(t=t_{0}+\varepsilon t_{1}+\varepsilon^{2}t_{2}+\varepsilon^{3}t_{3}\) and the dynamical variables:
Once substituted in the equation of motion (3.3), we obtain:
-
Equations for \(r\):
$$\displaystyle\partial_{t}r=\varepsilon\left(\partial_{t_{0}}r_{1}\right)+\varepsilon^{2}\left(\partial_{t_{0}}r_{2}+\partial_{t_{1}}r_{1}\right)+\varepsilon^{3}\left(\partial_{t_{0}}r_{3}+\partial_{t_{1}}r_{2}+\partial_{t_{2}}r_{1}\right)$$$$\displaystyle=\underbrace{\frac{S_{0}}{4\pi r_{0}}+Ar_{0}\cos(2\theta_{0})}_{=0}+\varepsilon\left[-ar_{1}-b\left(r_{0}\theta_{1}\right)\right]$$(4.5)$$\displaystyle+\varepsilon^{2}\left[-ar_{2}-b\left(r_{0}\theta_{2}\right)+\frac{a\delta r_{0}}{2}\cos(2\omega_{0}t_{0})+\frac{a}{2r_{0}}r_{1}^{2}+\frac{a}{r_{0}}\left(r_{0}\theta_{1}\right)^{2}-\frac{b}{r_{0}}r_{1}\left(r_{0}\theta_{1}\right)\right]$$(4.6)$$\displaystyle+\varepsilon^{3}\left[-ar_{3}-b\left(r_{0}\theta_{3}\right)+\frac{a}{r_{0}}r_{1}r_{2}-\frac{ar_{1}^{3}}{2r_{0}^{2}}-\frac{a\delta}{2}r_{1}\cos(2\omega_{0}t_{0})-a\delta r_{0}\omega_{0}t_{1}\sin(2\omega_{0}t_{0})\right.$$(4.7)$$\displaystyle\left.-\frac{b}{r_{0}}\left(r_{2}\left(r_{0}\theta_{1}\right)+r_{1}\left(r_{0}\theta_{2}\right)\right)+\frac{a}{r_{0}^{2}}r_{1}\left(r_{0}\theta_{1}\right)^{2}+\frac{2a}{r_{0}}\left(r_{0}\theta_{1}\right)\left(r_{0}\theta_{2}\right)+\frac{2b}{3r_{0}^{2}}\left(r_{0}\theta_{1}\right)^{3}\right]$$ -
Equations for \(\theta\):
$$\displaystyle\partial_{t}\left(r_{0}\theta\right)=\varepsilon\left[\partial_{t_{0}}\left(r_{0}\theta_{1}\right)\right]+\varepsilon^{2}\left[\partial_{t_{0}}\left(r_{0}\theta_{2}\right)+\partial_{t_{1}}\left(r_{0}\theta_{1}\right)\right]$$$$\displaystyle=\underbrace{\frac{\Gamma_{0}}{4\pi r_{0}}+r_{0}\Omega-Ar_{0}\sin(2\theta_{0})}_{=0}+\varepsilon\left[-cr_{1}+a\left(r_{0}\theta_{1}\right)\right]$$(4.8)$$\displaystyle+\varepsilon^{2}\left[-cr_{2}+a\left(r_{0}\theta_{2}\right)+\frac{c\delta r_{0}}{2}\cos(2\omega_{0}t_{0})+\frac{3c}{2r_{0}}r_{1}^{2}+\frac{b}{r_{0}}\left(r_{0}\theta_{1}\right)^{2}\right]$$(4.9)$$\displaystyle+\varepsilon^{3}\left[-cr_{3}+a\left(r_{0}\theta_{3}\right)-c\delta r_{1}\cos(2\omega_{0}t_{0})+\frac{3c}{r_{0}}r_{1}r_{2}+\frac{2b}{r_{0}}(r_{0}\theta_{1})(r_{0}\theta_{2})\right.$$$$\displaystyle\left.-\frac{2c}{r_{0}^{2}}r_{1}^{3}-\frac{2a}{3r_{0}^{2}}(r_{0}\theta_{1})^{3}-c\delta r_{0}\omega_{0}t_{1}\sin\left(2\omega_{0}t_{0}\right)\right].$$(4.10)
By gathering terms at each order, we obtain:
At order\(\varepsilon^{1}\). As expected, we recover from Eqs. (4.5) and (4.8) the unforced harmonic oscillator (the forcing appears only at order \(\varepsilon^{2}\)).
with the solution
Hereafter, the second term is denoted \(\mathrm{c.c}\) for “complex conjugate”.
with
where \(\mu_{1}=-\frac{a+i\omega_{0}}{b}\).
At order \(\varepsilon^{2}\). Equations (4.6) and (4.9) contain nonlinear terms. The absence of linear growth of the solution leads to \(\partial_{t_{1}}C_{1,1}=\partial_{t_{1}}r_{1}=0\):
with \(f_{2}\) and \(g_{2}\) being two functions defined by
This leads to the solution
where \(C_{2,0},\ C_{2,2,1},\ C_{2,2,2},\ D_{2,0},\ D_{2,2,1},\ D_{2,2,2}\) are complex constants. Their values are computed and details are given in Appendix B.
At order \(\varepsilon^{3}\). Equations (4.7) and (4.10) lead to the following system of equations:
where \(f_{3}\) and \(g_{3}\) are the functions
This yields (see Appendix B) a differential equation on \(C_{1,1}(t_{2})\), called the amplitude equation. This equation governs the evolution of the amplitude of a perturbation from the vortex source around the neutral equilibrium point:
where \(\underline{\overline{\mathrm{V}}},\\underline{\overline{\mathrm{VI}}},\ \underline{\overline{\mathrm{VII}}},\ \underline{\overline{\mathrm{VIII}}}\) are real constants computed in Appendix B. For \(\Gamma_{0}=-0.5,\ S_{0}=\pm 0.01,\Omega=1\) and \(A=0.8\) (two sets of parameters related to conditions (3.15), corresponding to the upper left case of Fig. 2, which we generically use in further numerical applications) we have \(\underline{\overline{\mathrm{V}}}\simeq\mp 3.00\cdot 10^{-3},\ \underline{\overline{\mathrm{VI}}}\simeq 1.33\cdot 10^{-1},\ \underline{\overline{\mathrm{VII}}}\simeq\pm 3.77\cdot 10^{-2}\) and \(\underline{\overline{\mathrm{VIII}}}\simeq 3.35\cdot 10^{-1}\).
4.1.2 Study of the amplitude equation
To study the slow-time variation of \(C_{1,1}\), we set \(C_{1,1}=u\mathrm{e}^{i\beta}\) or \(C_{1,1}=X+iY\) such that \(\partial_{t_{2}}C_{1,1}=\left(\partial_{t_{2}}u+iu\partial_{t_{2}}\beta\right)e^{i\beta}=\partial_{t_{2}}X+i\partial_{t_{2}}Y\) (the polar form is of interest for determining the equilibria; the Cartesian form is simpler to analyze the stability of these equilibria). Using the polar form and separating the real and imaginary parts yields
equivalent to:
The equilibria \(u_{0}\mathrm{e}^{i\beta_{0}}\) of this amplitude equation (see Fig. 3) are, from Eq. (4.22), either \(u_{0}=0\) or they are given by
leading to
(where the numerical applications are done for our choice of physical parameters \(\Gamma_{0}=-0.5,\ S_{0}=\pm 0.01,\Omega=1\) and \(A=0.8\)).
The stability analysis of these equilibria is easier calculated in Cartesian coordinates:
The Jacobian matrix of this system at the equilibrium point \((X_{0},Y_{0})=(u_{0}\cos(\beta_{0}),u_{0}\sin(\beta_{0}))\) is
For the equilibrium point \((0,0)\), the computation of the eigenvalues is straightforward: \(\pm\delta\sqrt{\underline{\overline{\mathrm{V}}}^{2}+\underline{\overline{\mathrm{VI}}}^{2}}\) and the eigendirections of this saddle point are represented in Fig. 3. As \(\delta\) grows, two attractive or repulsive points appear and separate from each other in the plane. The nature of the centers depends of the sign of \(S_{0}\). For this equilibrium, the numerical study of the real parts of the eigenvalues of the matrix \(M\) gives a linear and positive (resp. negative) value when \(S_{0}=+0.01\) (resp. \(S_{0}=-0.01\)) with \(0.02987\) (resp. \(-0.02987\)) slope with respect to \(\delta\) . This corresponds to the repulsive (resp. attractive) nature of the two equilibria.
4.2 Harmonic Forcing
In this subsection, the time variation of the circulation and source-sink magnitude is
The multiple time scale expansion leads to the amplitude equation
which is equivalent in polar coordinates (\(C_{1,1}=u\mathrm{e}^{i\beta}\)) to
or in Cartesian coordinates (\(C_{1,1}=X+iY\)) to
For \(\omega_{2}=0\), finding the equilibrium point \((X_{0},Y_{0})=\big{(}u_{0}\cos(\beta_{0}),u_{0}\sin(\beta_{0})\big{)}\) is straightforward (see Figs. 4 and 5) and we have
where
Numerical evaluation gives
for \(\Gamma_{0}=-0.5,\ S_{0}=\pm 0.01,\Omega=1\) and \(A=0.8\).
Analyzing the stability of this equilibrium point, we find two complex conjugate eigenvalues of the following matrix:
which are \((X_{0}^{2}+Y_{0}^{2})\left(2\underline{\overline{\mathrm{VII}}}\pm i\sqrt{3\underline{\overline{\mathrm{VIII}}}^{2}-\underline{\overline{\mathrm{VII}}}^{2}}\right)\). Again, the real parts are positive or negative depending on the sign of \(S_{0}\). For the set of parameters we have chosen, it is a repulsive equilibrium point if \(S_{0}=+0.01\), and it is an attractive equilibrium point if \(S_{0}=-0.01\), as we can see in Figs. 4 and 5. Around those points, the oscillation pulsation is
for the set of parameters we chose, independently of the sign of \(S_{0}\).
When \(\omega_{2}\neq 0\), the behavior of the system changes radically if we are in a source system (\(S_{0}>0\)) or a sink system (\(S_{0}<0\)), as we can see in the following figures (Figs. 6 and 7).
5 IMPACT OF THE SOURCE/CIRCULATION VARIABILITY ON THE TRAJECTORIES OF THEVORTEX SOURCES AND OF PASSIVE TRACERS
In this section, we compute numerically the evolution of the point vortex sources (or vortex sinks) and of passive tracers, advected by the total velocity field, when we vary \(\varepsilon\). The results are quite similar for the subharmonic or the harmonic case, so we will only present the results for the subharmonic variability.
5.1 Point Vortex Trajectories
First, we study the trajectory of the point vortex sources before considering the evolution of the passive tracers. Figures 8 and 9 are built using a 4th-order Runge – Kutta scheme and show the evolution of one of the two point vortex sources (or vortex sinks) around the center of the stationary problem, as \(\varepsilon\) is increased. When \(\varepsilon=0\), we observe the rotation of the point vortex around the neutral equilibrium (the center). When increasing slightly \(\varepsilon\), the vortex spirals outwards from its initial position. This is another illustration of the result previously shown (in Fig. 3): as \(\varepsilon\) is increased, the neutral point evolves into two repulsive centers. The slow time evolution is an increase in the modulus of \(C_{11}\). Still, our analytical model holds only for weakly nonlinear evolutions and for small \(\varepsilon\). The point vortex-source evolution for finite values of \(\varepsilon\) can only be described numerically. In particular, for \(\varepsilon=0.5\), vortex sinks leave the vicinity of the neutral point to drift towards the plane center. For large \(\varepsilon\) (\(\varepsilon\geqslant 0.4\)), the point vortex trajectories intersect and the dynamical system becomes irregular. Furthermore, these trajectories are noticeably different for a vortex source and for a vortex sink. In the latter case, the trajectory spirals around the plane center.
5.2 Passive Tracer Trajectories
After determining the vortex-source trajectories, we obtain those of passive tracers using also a 4th-order Runge – Kutta scheme. As a first indication for the possible trajectories of a passive tracer embedded in the time-varying flow, we compute the streamlines of the total flow, for vortex sources at the steady neutral points in Fig. 10. This figure helps position tracers initially. In particular, we see that the topology of the flow is comprised of 6 regions, five of them being compact and symmetric around the plane center, and the external trajectories circling these five regions. These regions enclose five centers and four hyperbolic (saddle) points.
Remark 5.
The evolution of a passive tracer (in blue in Figs. 11 and 12) is not that of a vortex source. The tracer is advected by the two vortex sources simultaneously.
Using Fig. 10, we place passive tracers either near the plane center, or near a neutral point, or in the external region, far away from the plane center, see Figs. 11 and 12. In these figures, the evolution of point vortex source 1 is plotted in black; this vortex lies initially at the neutral point (which is no more an equilibrium point for \(\varepsilon>0\)). For \(\varepsilon=0\), the tracer follows a closed curve around the plane center. For the point-vortex source, we can clearly see that the tracers’ trajectories move out of the closed regions indicated in Fig. 10 when \(\varepsilon=0.5\). Such a finite amplitude variation of the source strength can be attained when induced by wind variability. It is clear that the tracers are mixed between the various regions. For an oceanographic application, this indicates that finite-area vortices would exchange their water masses in this case.
For a vortex sink, as mentioned previously, passive particles initially located around a neutral center can drift towards the center of the plane (for \(\varepsilon=0.4\)); this indicates that mixing will be even more efficient in this case.
To measure the mixing of the tracers, we compute the trajectories of 100 passive particles initially close to each other and we calculate the time evolution of their RMS (root-mean square) relative distance. Figure 13 shows the motion and the growth in time of a patch of tracers. It indicates that the standard deviation grows initially exponentially fast, with a characteristic time \(T=25\). The subsequent growth (at \(t=75\)) is even faster. A more detailed view of the growth of the patches is provided on Fig. 14. The initial position of the four patches of particles is indicated on Fig. 10. At long time, the growth of the tracer patch is similar for \(\varepsilon=0\) and for \(\varepsilon=0.2\), but at shorter time the patch shown on Fig. 13 grows exponentially fast for \(\varepsilon=0.2\).
6 CONCLUSIONS, PERSPECTIVES AND PHYSICAL INTERPRETATIONS
In this paper, we have addressed the problem of two vortex sources in an external deformation field. Compared with previous studies, we have not considered a time-varying external flow but circulation and strength of the source/sink-vortices. We adressed the problem of point vortices analytically. This idealized situation, added to geometrical symmetry in the plane, allows the derivation and analysis of a simple dynamical system. For several values of the physical parameters, we have shown the existence of a center point of equilibrium around which the oscillation of the perturbed vortex occurs in a steady configuration.
We then have shown that a periodic variation of circulation or of the source flow, with a subharmonic or a harmonic frequency, could be caused by an unsteady wind. With such a variation of \(\Gamma\) or of \(S\), we have calculated the slow evolution of the vortex trajectories from the steady orbit around the center point. The slow variation of the amplitude of the perturbation shows the destabilization of the center point into attractive or repulsive equilibria, for both the harmonic and subharmonic variations. The difference between these two cases is the number of equilibria (1 or 2). In both cases, the amplitude of the perturbation in the vicinity of these equilibria is bounded in time for small amplitudes of the time variation of \(\Gamma\) or of \(S\). For larger amplitude variations (larger \(\varepsilon\)), trajectories are allowed between the previous fixed points. This indicates a transition to chaos when \(\varepsilon\) grows.
We have also computed the evolution and spreading of patches of passive particles. We have shown that the spreading can grow exponentially fast when the time variation of \(\Gamma\) or \(S\) is present. This indicates that the effect of an unsteady wind, taken into account via a relative wind stress, can increase the mixing of the fluid (here the oceanic fluid of the two vortices, or in their periphery). From this analysis alone, and considering previous studies, it is difficult to predict the exact influence of using the relative wind stress curl to force two interacting finite-area vortices. This will require numerical modeling with a detailed survey in the space of physical parameters as was done by Perrot and Carton [16]. In particular, the orientation of the background flow has been shown to have a crucial importance in facilitating or in reducing the vortex tendency to merge.
The orientation of the wind in our problem is related to the polarity of the source (source or sink) and it would be interesting to study its influence on vortex merger. This can be achieved using a fully coupled ocean-atmosphere quasi-geostrophic model, as a second step of this study. Another important aspect to be studied with a coupled model is the stability of individual, finite-area vortices. Indeed, both vortex interaction, which allows their growth (against the ambient shear of the surrounding flows which erode them), and the stability of isolated vortices are key mechanisms for the durability of these structures. Moreover, they make up the bulk of eddy kinetic energy in the ocean. Understanding eddy kinetic energy variations in coupled ocean-atmosphere models requires the knowledge of vortex processes in such models.
Ocean-atmosphere coupling creates an asymmetric Ekman pumping in the vortex and so the resultant of this pumping is not null and corresponds to a nondivergent free flow. The measure of this divergent component is impossible using altimetry because the speed computed from altimetry is geostrophic and so divergence-free. Surface buoys, ship drifts or other satellite sensors able to give complete speed are then needed. Future research will compare the total surface velocity field and the one deduced from altimetry and related to wind. This will allow us to better evaluate the impact on the divergence component of the flow on the vortex–vortex interactions.
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ACKNOWLEDGMENTS
The first author thanks Ecole Normale Superieure de Rennes (Maths Department) for a Ph.D. grant allowing the completion of this work.
The authors thanks Dr Jean N. Reinaud for proofreading and the English writing of this paper.
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MSC2010
34D20
APPENDIX A. EQUILIBRIUM POINTS AND STABILITY
This section is a reminder of the fixed points of the problem; it was addressed slightly differently in [4] and in [3]. Recall the various cases for equilibria here with our notations and in our specific cases. This is necessary to further study the vortex source evolution with unsteady circulation or source strength.
Recall that we have the condition \(\Gamma_{0}\Omega<0\) and the formulas
6.1. For \(\Omega^{2}=A^{2}\):
Equilibrium. Starting from Eq. (A.3) with \(\Omega^{2}=A^{2}\) and \(\Gamma_{0}\Omega<0\), we have \(r_{0}^{2}=-\frac{S_{0}^{2}+\Gamma_{0}^{2}}{8\pi\Gamma_{0}\Omega}>0\) and thanks to Eq. (A.1), we have
Stability. Is the equilibrium (A.4) stable? From the characteristic polynomial (3.7) of the differential matrix \(\chi(X)=X^{2}-\frac{S_{0}^{2}+\Gamma_{0}^{2}+4\pi r_{0}^{2}\Gamma_{0}\Omega}{4\pi^{2}r_{0}^{4}}\), we need to determine the sign of \(\Delta_{0}\):
6.2. For \(\Omega^{2}\neq A^{2}\):
From the polynomial equation (A.3) in \(r_{0}^{2}\):
we compute the discriminant
and look at the sign of
We want \(\Delta^{\prime}\) to be positive because we want real (positive) solutions to Eq. (A.6). This brings three situations (we have already studied the situation \(\Omega^{2}=A^{2}\)):
-
If \(A^{2}>\Omega^{2}\), then \(\Delta^{\prime}>0\) clearly from Eq. (A.9).
-
If \(\Omega^{2}>A^{2}\), then \(\Delta^{\prime}>0\iff\Omega^{2}<A^{2}\left(1+\frac{\Gamma_{0}^{2}}{S_{0}^{2}}\right)\).
-
If \(\Omega^{2}=A^{2}\left(1+\frac{\Gamma_{0}^{2}}{S_{0}^{2}}\right)\), then \(\Delta^{\prime}=0\).
Because \(A^{2}>\Omega^{2}\), we have \(\Delta^{\prime}>0\) without any more condition, and we have two solutions to the polynomial equation (A.6):
Equilibrium for \(X_{+}\). We have the following equilibrium point (with \(\theta_{0}\) computed from Eq. (A.1)):
Stability for \(X_{+}\). How is the equilibrium (A.11) stable? We need to know the sign of \(\Delta_{0}\).
Proposition 1
Under all the conditions of this subsection, we have
Proof
Remember that we work under the assumption \(A^{2}>\Omega^{2}\) and \(\Gamma_{0}\Omega<0\). Then put \(r_{0}^{2}\) in \(\Delta_{0}\) and
We also have two roots of the polynomial (A.6):
Equilibrium and stability for \(X_{+}\). We have the following equilibrium point (with \(\theta_{0}\) computed from Eq. (A.1)):
Proposition 2
Whatever the set of parameters we choose, if they satisfy the assumptions we made: \(A^{2}<\Omega^{2}<A^{2}\left(1+\frac{\Gamma_{0}^{2}}{S_{0}^{2}}\right)\) and \(\Gamma_{0}\Omega<0\) , then we have
Proof
Consider \(\Delta_{0}\) for the value \(r_{0}\) we have in Eq. (A.13):
Equilibrium and stability for \(X_{-}\). We have the following equilibrium point (with \(\theta_{0}\) computed from Eq. (A.1)):
Proposition 3
For the equilibrium (A.15) , \(\Delta_{0}\) is nonnegative for every set of parameters such that \(A^{2}<\Omega^{2}<A^{2}\left(1+\frac{\Gamma_{0}^{2}}{S_{0}^{2}}\right)\) and \(\Gamma_{0}\Omega<0\) . So the equilibrium (A.15) is a saddle equilibrium point.
Proof
Look at the expression of \(\Delta_{0}\):
In this section, we have \(\Delta^{\prime}=0\). Then there is only one solution to Eq. (A.6):
APPENDIX B. MULTIPLE TIME SCALE DEVELOPMENT
The multiple time scale method is here expanded for the subharmonic case. The harmonic case is similar.
6.1. Order \(\varepsilon^{1}\)
We have the following system at order \(\varepsilon^{1}\), computed from Eqs. (4.5) and (4.8):
6.2. Order \(\varepsilon^{2}\)
With Eqs. (4.6) and (4.9) and because \(\partial_{t_{1}}r_{1}=\partial_{t_{1}}\left(r_{0}\theta_{1}\right)=0\), we have the following system in \((r_{2},r_{0}\theta_{2})\):
where
The system (B.4) gives:
-
For \(r_{2}\):
$$\displaystyle\partial_{t_{0}}^{2}r_{2}=-a\left(-ar_{2}-b\left(r_{0}\theta_{2}\right)+f_{2}\right)-b\left(-cr_{2}+a\left(r_{0}\theta_{2}\right)+g_{2}\right)+\partial_{t_{0}}f_{2}$$$$\displaystyle=\left(a^{2}+bc\right)r_{2}+h_{2}(t_{0},t_{1},t_{2},t_{3}).$$(B.6) -
For \(r_{0}\theta_{2}\):
$$\displaystyle\partial_{t_{0}}^{2}\left(r_{0}\theta_{2}\right)=-c\left(-ar_{2}-b\left(r_{0}\theta_{2}\right)+f_{2}\right)+a\left(-cr_{2}+a\left(r_{0}\theta_{2}\right)+g_{2}\right)+\partial_{t_{0}}g_{2}$$$$\displaystyle=\left(bc+a^{2}\right)\left(r_{0}\theta_{2}\right)+k_{2}(t_{0},t_{1},t_{2},t_{3}),$$(B.7)
where
-
Development of \(f_{2}\):
$$\displaystyle f_{2}=\frac{a}{r_{0}}\left[3-\frac{2c}{b}\right]|C_{1,1}|^{2}$$$$\displaystyle+\left[\frac{ar_{0}}{4}+\frac{C_{1,1}^{2}}{r_{0}}\left(\frac{3a}{2}+\frac{a\left(a+i\omega_{0}\right)^{2}}{b^{2}}+i\omega_{0}\right)\right]\mathrm{e}^{2i\omega_{0}t_{0}}+\mathrm{c.c}$$$$\displaystyle f_{2}=F_{2,0}|C_{1,1}|^{2}+\left[F_{2,2,1}+F_{2,2,2}C_{1,1}^{2}\right]\mathrm{e}^{2i\omega_{0}t_{0}}+\mathrm{c.c}.$$(B.9) -
Development of \(g_{2}\):
$$\displaystyle g_{2}=\frac{c}{r_{0}}|C_{1,1}|^{2}+\left[\frac{cr_{0}}{4}+\frac{C_{1,1}^{2}}{r_{0}}\left(\frac{3c}{2}+\frac{\left(a+i\omega_{0}\right)^{2}}{b}\right)\right]\mathrm{e}^{2i\omega_{0}t_{0}}+\mathrm{c.c}$$$$\displaystyle g_{2}=G_{2,0}|C_{1,1}|^{2}+\left[G_{2,2,1}+G_{2,2,2}C_{1,1}^{2}\right]\mathrm{e}^{2i\omega_{0}t_{0}}+\mathrm{c.c}.$$(B.10) -
Development of \(h_{2}\):
$$\displaystyle h_{2}=\left[-aF_{2,0}-bG_{2,0}\right]|C_{1,1}|^{2}+\left[\left(-bG_{2,2,1}+\left(-a+2i\omega_{0}\right)F_{2,2,1}\right)\right.$$$$\displaystyle\left.+\left(-bG_{2,2,2}+\left(-a+2i\omega_{0}\right)F_{2,2,2}\right)C_{1,1}^{2}\right]\mathrm{e}^{2i\omega_{0}t_{0}}+\mathrm{c.c}$$$$\displaystyle h_{2}=H_{2,0}|C_{1,1}|^{2}+\left[H_{2,2,1}+H_{2,2,2}C_{1,1}^{2}\right]\mathrm{e}^{2i\omega_{0}t_{0}}+\mathrm{c.c}.$$(B.11) -
Development of \(k_{2}\):
$$\displaystyle k_{2}=\left[-cF_{2,0}+aG_{2,0}\right]|C_{1,1}|^{2}+\left[\left(-cF_{2,2,1}+\left(a+2i\omega_{0}\right)G_{2,2,1}\right)\right.$$$$\displaystyle\left.+\left(-cF_{2,2,2}+\left(a+2i\omega_{0}\right)G_{2,2,2}\right)C_{1,1}^{2}\right]\mathrm{e}^{2i\omega_{0}t_{0}}+\mathrm{c.c}$$$$\displaystyle k_{2}=K_{2,0}|C_{1,1}|^{2}+\left[K_{2,2,1}+K_{2,2,2}C_{1,1}^{2}\right]\mathrm{e}^{2i\omega_{0}t_{0}}+\mathrm{c.c}.$$(B.12)
Then from Eqs. (B.6) and (B.7) we have
-
The homogeneous solutions:
$$\begin{cases}r_{2}=C_{2,1}\mathrm{e}^{i\omega_{0}t_{0}}+\mathrm{c.c}\\ \left(r_{0}\theta_{2}\right)=D_{2,1}\mathrm{e}^{i\omega_{0}t_{0}}+\mathrm{c.c}\end{cases}$$(B.13) -
The particular solutions for the constant terms:
$$\begin{cases}r_{2}=\frac{H_{2,0}}{\omega_{0}^{2}}|C_{1,1}|^{2}\\ \left(r_{0}\theta_{2}\right)=\frac{K_{2,0}}{\omega_{0}^{2}}|C_{1,1}|^{2}\end{cases}$$(B.14) -
The particular solutions for \(\mathrm{e}^{2i\omega_{0}t_{0}}+\mathrm{c.c}\):
$$\begin{cases}r_{2}=-\frac{H_{2,2,1}+H_{2,2,2}C_{1,1}^{2}}{3\omega_{0}^{2}}\mathrm{e}^{2i\omega_{0}t_{0}}+\mathrm{c.c}\\ \left(r_{0}\theta_{2}\right)=-\frac{K_{2,2,1}+K_{2,2,2}C_{1,1}^{2}}{3\omega_{0}^{2}}\mathrm{e}^{2i\omega_{0}t_{0}}+\mathrm{c.c}.\end{cases}$$(B.15)
So the total solution of Eqs. (B.6) and (B.7) is
6.3. Order \(\varepsilon^{3}\)
With Eqs. (4.7) and (4.10), we have the following system at the order \(\varepsilon^{3}\):
-
For \(r_{3}\):
$$\displaystyle\partial_{t_{0}}^{2}r_{3}=-a\left(-ar_{3}-b\left(r_{0}\theta_{3}\right)+f_{3}\right)-b\left(-cr_{3}+a\left(r_{0}\theta_{3}\right)+g_{3}\right)+\partial_{t_{0}}f_{3}$$$$\displaystyle=\left(a^{2}+bc\right)r_{3}+h_{3}.$$(B.20) -
For \(r_{0}\theta_{3}\):
$$\displaystyle\partial_{t_{0}}^{2}\left(r_{0}\theta_{3}\right)=-c\left(-ar_{3}-b\left(r_{0}\theta_{3}\right)+f_{3}\right)+a\left(-cr_{3}+a\left(r_{0}\theta_{3}\right)+g_{3}\right)+\partial_{t_{0}}g_{3}$$$$\displaystyle=\left(bc+a^{2}\right)\left(r_{0}\theta_{3}\right)+k_{3}.$$(B.21)
We do not develop \(f_{3},\ g_{3},\ h_{3}\) and \(k_{3}\) as we did for the order \(\varepsilon^{2}\). We only introduce the following notations:
Then, if we denote by \(L\) the self-adjoint linear operator \(\partial_{t_{0}}^{2}+\omega_{0}^{2}\), we have \(r_{1}^{\star}Lr_{3}=r_{1}^{\star}h_{3}=r_{1}^{\star}L^{\star}r_{3}=0=\langle r_{1},h_{3}\rangle\). But \(\langle e^{in\omega_{0}t_{0}},e^{ip\omega_{0}t_{0}}\rangle=\delta_{n,p}\) (Kronecker symbol) for \(n,p\in\mathbf{Z}\) and because \(r_{1}=C_{1,1}\mathrm{e}^{i\omega_{0}t_{0}}+\mathrm{c.c}\), we have
Because \(H_{3,1}=(-a+i\omega_{0})F_{3,1}-bG_{3,1}\), we deduce the amplitude equation
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Vic, A., Carton, X. & Gula, J. The Interaction of Two Unsteady Point Vortex Sources in a Deformation Field in 2D Incompressible Flows. Regul. Chaot. Dyn. 26, 618–646 (2021). https://doi.org/10.1134/S1560354721060034
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DOI: https://doi.org/10.1134/S1560354721060034