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East Asia and Western Pacific METEOROLOGY AND CLIMATE

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507<br />

equations. The 18 ordinary differential equations are reduced to 18<br />

algebra equations as we set the tendency to zero searching for<br />

stationary solutions.<br />

By using the iteration method, we can identify seven equilibrium<br />

branches in the forcing range 20°K < AT < 80°K. For a given AT ,<br />

however, there can be a maximum of five equilibria. Fig. 3 shows<br />

these branches on the AT vs. AT* diagram. Branches 4 <strong>and</strong> 5 appear<br />

when AT > 57.5°K, <strong>and</strong> Branches 1 <strong>and</strong> 2 appear when AT* > 79.5°K.<br />

Branches 1, 2 <strong>and</strong> 3 correspond very closely to the equilibria of the<br />

highest truncation case, m=l. On the other h<strong>and</strong>, Branches 4 <strong>and</strong> 5<br />

are two new^branches. They appear even for a weaker AT than the<br />

critical AT required for Branches 1 <strong>and</strong> 2. For these two new<br />

branches, the first mode components still dominate in the mean zonal<br />

flow but all three meridional modes are equally important in the wave<br />

components. Branches 6 <strong>and</strong> 7 are also two new branches that appear<br />

in very weak thermal forcing (AT < 28.5°K) . For these branches<br />

second mode components are zeros <strong>and</strong> the third mode wave amplitudes<br />

are larger than amplitudes of the first mode wave.<br />

Linear stability analysis shows that all equilibrium states<br />

are unstable except for Branch 3 under a very weak thermal forcing<br />

of AT < 29°K, <strong>and</strong> for Branch 7 which appears only when AT < 28.5°K.<br />

Branch 2, 4 <strong>and</strong> 6 are orographically unstable.<br />

4. MULTIPLE STATISTICAL EQUILIBRIA (TIME MEAN SOLUTIONS)<br />

As we have found all equilibria are unstable unless in a range<br />

of very weak thermal forcing, the results of stationary solutions<br />

cannot be directly applied to interpret the atmospheric phenomena.<br />

We need to find how these (stationary) equilibria are modified by the<br />

instabilities. To answer this question, long-term numerical time<br />

integrations of the spectral equations with three meridional modes<br />

are conducted for fixed values of the thermal forcing a variety of<br />

initial conditions. The Runge-Kutta fourth-order scheme with a onehour<br />

time step is used in the integrations. For fixed values of AT ,<br />

four types of initial conditions are used: a baroclinic zonal flow<br />

(that corresponds to the Hadley equilibrium) , a barotropic zonal<br />

flow, a baroclinic wavy flow, <strong>and</strong> a barotropic wavy flow.<br />

A statistical equilibrium state is defined as the time-averaged<br />

state over the last 3 1/2 years of a 4-year integration. Several<br />

additional experiments with slightly perturbed equilibrium states as<br />

the initial conditions have also been conducted to examine the<br />

relationship between the statistical equilibria <strong>and</strong> stationary<br />

equilibria 1 . ' ' '.. ' - ' - , . ' • . • . • ' • • • '•/ ' ' • ,, '. . . ..•• •" . . • • • .•': .. .•<br />

From the numerical integrations, four statistical equilibrium<br />

branches, Branches A, B, B 2 <strong>and</strong> C, can be identified in the range<br />

20°K < AT < 80°K. However, for a given thermal forcing the model<br />

can produce a maximum of three statistical equilibria. Branch 1S>2 *-&

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