AtmosphericRegime¶
Systems / ODEs / Climate & geophysics
Two coupled oscillators with widely spaced frequencies whose timescale separation drives intermittent bursts between quasi-stationary weather regimes.
Definition¶
\[
\begin{aligned}
\dot{x} &= \mu_{1} x + \sigma x y \\
\dot{y} &= \alpha y z + \beta z^{2} + \mu_{2} y + \omega z - \sigma x^{2} \\
\dot{z} &= - \alpha y^{2} - \beta y z + \mu_{2} z - \omega y
\end{aligned}
\]
Parameters¶
| Symbol | Default | Role |
|---|---|---|
alpha |
-2 |
quadratic slow–fast coupling coefficient |
beta |
-5 |
quadratic slow–fast coupling coefficient |
mu1 |
0.05 |
linear growth/damping of the slow mode |
mu2 |
-0.01 |
linear growth/damping of the fast oscillator |
omega |
3 |
natural frequency of the fast oscillator |
sigma |
1.1 |
bilinear slow–fast feedback strength |
State variables: x, y, z
Properties¶
Lyapunov spectrum
TODO — lyapunov_spectrum failed: AttributeError
Kaplan–Yorke dimension
TODO — requires a numeric Lyapunov spectrum
Divergence ∇·f
$\nabla\!\cdot f = \alpha z - \beta y + \mu_{1} + 2 \mu_{2} + \sigma y$
state-dependent
state-dependent
Equilibria
2 equilibria
0 stable · 2 unstable
0 stable · 2 unstable
Use it in TSDynamics¶
import tsdynamics as ts
system = ts.systems.AtmosphericRegime()
traj = system.run(final_time=100.0, dt=0.01)
ts.plot(traj)
spectrum = ts.analysis.lyapunov_spectrum(system)
ts.analysis.kaplan_yorke_dimension(spectrum)
Reference¶
Tuwankotta (2006), Int. J. Non-Linear Mech. 41, 180-191
doi:10.1016/j.ijnonlinmec.2005.02.007