Why Climate Models Won't Converge ✎

Original: "Climate dynamics and fluid mechanics: Natural variability and related uncertainties"
arXiv:1006.2864 · 2010-06-15 · arXiv non-exclusive · independent analysis · 1 min
Random perturbations can lump disparate climate models into a few classes, erasing subtle differences between them.

For thirty years, climatologists have been piecing together a shattered vase. Each climate model is its own shard, and they all promise different amounts of warming by 2100, from one and a half degrees to nearly six. The spread doesn't shrink no matter how much the models are improved. Inside this vase lives the ocean, which oscillates on its own with periods of 7 and 14 years, like a pendulum that no one pushes but that never stops. And the equations describing climate are such that the slightest change in how clouds or turbulence are described can flip the behavior of the entire system. The vase's shards keep splintering.

Scientists have changed tactics. Instead of precise gluing, they decided to add a glue that fills every gap. That glue is noise: random perturbations always present in the ocean due to turbulence.

Noise destroys the narrow tongues of synchronization, leaving only a finite number of wide ones.

Two models that without noise behaved differently become indistinguishable under its influence. It's like two people who seem different in a quiet room but behave the same in a noisy crowd. Perhaps noise is what will help assemble the climate vase into a whole, albeit with rough seams.

The Arnold circle map family describes the competition between two periodicities, such as the internal rhythm of El Niño and the annual cycle. In El Niño models, steps of the devil's staircase are indeed observed, corresponding to periods of 4 years, 2 years, and 16 months.

q_t + J(\psi,q) - \nu\Delta^2\psi + \mu\Delta\psi = -\tau\sin\frac{2\pi y}{L_y}, \quad q = \Delta\psi - \lambda_R^{-2}\psi + \beta y
Evolution of potential vorticity under wind, viscosity, and friction
x_{n+1} = x_n + \tau - \epsilon\sin(2\pi x_n) \mod 1
Model of interaction between two frequencies with nonlinear coupling
Concepts
natural variability ENSO El Niño seasonal cycle fluid flow interannual variability tropospheric biennial oscillation El Niño-Southern Oscillation Jin-Timmermann model ocean current TAO/TRITON moorings ocean-atmosphere coupling climate fluid dynamics in porous media spring predictability barrier monsoon wind stress Multivariate ENSO Index La Niña seasonal forcing