Etudes et évaluation de processus océaniques par des hiérarchies ...
Etudes et évaluation de processus océaniques par des hiérarchies ... Etudes et évaluation de processus océaniques par des hiérarchies ...
64 CHAPITRE 4. ETUDES DE PROCESSUS OCÉANOGRAPHIQUES 2000] Wirth: Parameterization of baroclinic instability 575 tel-00545911, version 1 - 13 Dec 2010 Figure 1. The quantity y 7( x c 1 )c 2 8 /l 2 22 w 2 is plotted as a function of wavenumber for the six sets of experiments; experiments 1, 2, 3, 4, 5, 6 (see Table 1) as labeled, differences between the graphs are within statistical errors. Treguier, 1999). This corresponds to thermal forcing as commonly used in atmospheric dynamics. Furthermore, we focus our attention on Eq. (2) as the perturbation of layer thickness is proportional to perturbations of c 2 when assuming a rigid lid at the surface. Applying (4) onto (2) we obtain, 2(k 0 2 1 l 2 2 ) t c 2 2 b 2 b 1 k 0 2 c 1 2 b 2 b 2 k 0 2 c 2 1 J(c 1 , q 2 ) 1 J(c 2 , q 1 ) 1 jJ(c 2 , q 2 ) 5 nk 0 6 c 2 1 w 2 . (5) We suppose that the system is in a statistically stationary state, and that in the nonlinear terms the relative vorticity can be neglected which is a good approximation for scales larger than the baroclinic radius of deformation l 2 21 . Averaging over time and keeping only the dominant terms we obtain: 7 J(c 1 , q 2 )8 < 2l 2 2 7 J(c 1 , c 2 )8 < w 2 . (6) The subdominance of the two last nonlinear terms on the left-hand side of Eq. (5) and the above relation follows from simple scaling arguments when k 0 ® 0, and is also veried numerically (see Section 4 and Fig. 1). The behavior of the baroclinic streamfunction at
4.2. THE PARAMETRIZATION OF BAROCLINIC INSTABILITY IN A SIMPLE MODEL65 576 Journal of Marine Research [58, 4 scales larger than the rst baroclinic radius of deformation is to leading order identical to the behavior of a passive scalar advected by the barotropic velocity eld and subject to a source w 2 . This was already mentioned by Salmon (1980). Using the mathematical identity, we then suppose that the following parameterization holds: 7 J(c 1 , c 2 ) 8 5 y 7( x c 1 )c 2 8, (7) 2l 2 22 w 2 < y 7( x c 1 )c 2 8 5 k (a) (2k 0 2 ) a11 7 c 2 8. (8) tel-00545911, version 1 - 13 Dec 2010 When a 5 0 the last equality represents the classical Gent-McWilliams parameterization as the perturbation of layer thickness is linearly related to the amplitude of the baroclinic mode in quasi-geostrophictheory. In the above averaged equations the b-term has completely disappeared as the forcing and the averaged large-scale ow is zonal. The whole dynamics, however, depend on the b-term and so do the parameter values. An extreme example of this is to consider the case with b 5 0, where the dynamics are dominated by stable eddies that survive for very long times. This leads to a strongly intermittent behavior and no parameterization is reasonable in this case as time-averaged quantities relax too slowly to their mean value. It is now easy to numerically measure the parameter a by determining the scale dependence of k (a) k 0 2a 5 w 2 l 2 2 k 0 2 7 c 2 8 . (9) The problem is thus reduced to determining the scaling law of the streamfunction average in the forced mode, sin (k 0 y), as a function of the meridional wave number k 0 , where a 5 21 1 g/2. 7 c 2 8 , k 0 2g (10) 4. The numerical experiment When setting up the numerical experiment different constraints have to be considered: (i) the results should be statistically signicant, (ii) the baroclinicallymost unstable modes should be in the inertial range, (iii) the results should be compared for a variety of parameters. The rst constraint asks for long integration times, while the second requires high horizontal resolution. To satisfy all three points the experiment has to be carefully chosen. The results presented here are obtained by using Fourier series in the longitudinal and meridional direction. The nonlinear terms were treated using a pseudo spectral method (see
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4.2. THE PARAMETRIZATION OF BAROCLINIC INSTABILITY IN A SIMPLE MODEL65<br />
576 Journal of Marine Research [58, 4<br />
scales larger than the rst baroclinic radius of <strong>de</strong>formation is to leading or<strong>de</strong>r i<strong>de</strong>ntical to<br />
the behavior of a passive scalar advected by the barotropic velocity eld and subject to a<br />
source w 2 . This was already mentioned by Salmon (1980).<br />
Using the mathematical i<strong>de</strong>ntity,<br />
we then suppose that the following <strong>par</strong>am<strong>et</strong>erization holds:<br />
7 J(c 1 , c 2 ) 8 5 y 7( x c 1 )c 2 8, (7)<br />
2l 2 22 w 2 < y 7( x c 1 )c 2 8 5 k (a) (2k 0 2 ) a11 7 c 2 8. (8)<br />
tel-00545911, version 1 - 13 Dec 2010<br />
When a 5 0 the last equality represents the classical Gent-McWilliams <strong>par</strong>am<strong>et</strong>erization<br />
as the perturbation of layer thickness is linearly related to the amplitu<strong>de</strong> of the baroclinic<br />
mo<strong>de</strong> in quasi-geostrophictheory.<br />
In the above averaged equations the b-term has compl<strong>et</strong>ely disappeared as the forcing<br />
and the averaged large-scale ow is zonal. The whole dynamics, however, <strong>de</strong>pend on the<br />
b-term and so do the <strong>par</strong>am<strong>et</strong>er values. An extreme example of this is to consi<strong>de</strong>r the case<br />
with b 5 0, where the dynamics are dominated by stable eddies that survive for very long<br />
times. This leads to a strongly intermittent behavior and no <strong>par</strong>am<strong>et</strong>erization is reasonable<br />
in this case as time-averaged quantities relax too slowly to their mean value.<br />
It is now easy to numerically measure the <strong>par</strong>am<strong>et</strong>er a by d<strong>et</strong>ermining the scale<br />
<strong>de</strong>pen<strong>de</strong>nce of<br />
k (a) k 0 2a 5 w 2<br />
l 2 2 k 0 2 7 c 2 8 . (9)<br />
The problem is thus reduced to d<strong>et</strong>ermining the scaling law of the streamfunction average<br />
in the forced mo<strong>de</strong>, sin (k 0 y), as a function of the meridional wave number k 0 ,<br />
where a 5 21 1 g/2.<br />
7 c 2 8 , k 0<br />
2g<br />
(10)<br />
4. The numerical experiment<br />
When s<strong>et</strong>ting up the numerical experiment different constraints have to be consi<strong>de</strong>red:<br />
(i) the results should be statistically signicant,<br />
(ii) the baroclinicallymost unstable mo<strong>de</strong>s should be in the inertial range,<br />
(iii) the results should be com<strong>par</strong>ed for a vari<strong>et</strong>y of <strong>par</strong>am<strong>et</strong>ers.<br />
The rst constraint asks for long integration times, while the second requires high<br />
horizontal resolution. To satisfy all three points the experiment has to be carefully chosen.<br />
The results presented here are obtained by using Fourier series in the longitudinal and<br />
meridional direction. The nonlinear terms were treated using a pseudo spectral m<strong>et</strong>hod (see