Climate Speedometer: How to See the Hidden Rotation of Weather Cycles ✎

Original: "Nonequilibrium oscillations, probability angular momentum, and the climate system"
arXiv:1909.10505 · 2019-09-23 · arXiv non-exclusive · independent analysis · 3 min
Climate cycles like El Niño leave a trace in the form of rotating probability, and this trace can be measured like the needle of a speedometer.

The speedometer needle in a car shows how fast the wheels are spinning. The climate system also has rotation, but it is invisible: it happens in state space, where each point is a combination of ocean temperature, the depth of the warm layer, and other parameters. Probabilistic angular momentum acts like such a speedometer, showing how fast and in which direction the climate 'spins' between its states.

El Niño is a warm current that every few years changes weather across the planet. Scientists track it using two numbers: the sea surface temperature in a specific region of the Pacific Ocean and the depth at which water warms to 20 degrees. These two numbers can be thought of as coordinates of a point on a plane. Connecting the points over many months gives a trajectory that does not just wander but curls into loops. It is these loops that the new tool captures.

A probability loop is a trace left when the system transitions from one state to another more often than the reverse. In equilibrium, this does not happen: all transitions are balanced, like water in a still pond. But in the climate, which is constantly heated by the Sun and cooled into space, probability flows circulate like water in a river.

To measure the rotation, the authors took monthly El Niño data spanning 56 years and daily data for the Madden–Julian oscillation, another climate cycle that operates on timescales of weeks. For each time point, they computed a small rotation: where the point on the state plane moved in one step. Then they summed all these rotations and built a distribution. It turned out to be strongly asymmetric: the mean is noticeably different from zero, although the most probable value is zero. This is like a speedometer that often reads zero but sometimes the needle swings sharply to the right.

The asymmetry of the distribution is a key signature of nonequilibrium. If the climate were in thermal equilibrium, left and right rotations would occur equally often, and the mean would be exactly zero. But solar heating and cosmic cold constantly push the system in one direction.

Before this work, it was unclear how to detect such hidden rotations in real data. Now climatologists have a speedometer that can be attached to any set of measurements. It has already been tested on a simple linear model, and predictions matched observations. This means the tool works and can be used to compare different climate models: if a model does not reproduce the probability rotation, it misses an important part of the physics.

The speedometer needle has come full circle: now we see that the climate does not just change; it moves in a circle, and that circle can be measured. The next step is to apply the same approach to other climate cycles, such as the North Atlantic Oscillation, and see what other hidden rotations appear there.

Probabilistic angular momentum has the same units as the diffusion coefficient: length squared divided by time. For El Niño, with its indices of temperature (°C) and depth (cm), the units become exotic: °C·cm/month.

The idea that climate oscillations are manifestations of hidden rotations in an abstract space echoes Isaac Asimov's novel 'The End of Eternity', where changes in reality are described as loops in a multidimensional state space.

L^*_{\alpha\beta} = \int dx \left( x_\alpha j^*_\beta - x_\beta j^*_\alpha \right)
Mean angular momentum generated by the steady probability flux j* in phase space.
L^* = \Lambda = C_0 A^T - A C_0
In the linear Gaussian model, the probabilistic angular momentum equals the antisymmetric part of the product of the covariance matrix and the relaxation matrix.
\frac{\langle L \rangle}{\sigma_\ell} = \sqrt{\frac{\ell^2}{\sigma_0^2 + \ell^2}}
Shows that the mean probabilistic angular momentum cannot exceed its standard deviation, which is important for assessing significance.
Concepts
natural variability ENSO Jin-Timmermann model Southern Oscillation spring predictability barrier non equilibrium El Niño-Southern Oscillation Multivariate ENSO Index stochastic dynamical system El Niño index recharge oscillator model ensemble forecast Boltzmann equation probabilistic forecast Boltzmann distribution North Equatorial Countercurrent stochastic law of conservation of angular momentum mode of variability ERSST