INTERACTIVE COMPANION · EARTH'S ENERGY BUDGET · CLIMATE PHYSICS
The Thermal Inertia Bench
Two boxes. One on top, holding the atmosphere, the land and the ocean mixed layer. One underneath, holding the rest of the ocean. A pipe between them. That is the entire apparatus, and it is enough to explain why the surface temperature you measure today is not the temperature that today's greenhouse gases have already paid for.
Both models below run the same four equations the club's analysis script runs, in your browser, with no library and nothing fetched. On their default settings they reproduce the article's headline numbers exactly: a fast timescale of 3.95 years, a slow one of 247.7 years, an equilibrium sensitivity of 3.05 K against a transient response of 1.90 K, and 73.61% of the eventual warming delivered a century after the forcing changes.
Model 1. Watch the two clocks run
Set a forcing and press run. The upper box warms fast, because it is thin. The lower box warms slowly, because it is not. While the lower box is still cold it drains heat out of the upper one, and that drain holds the surface below the temperature the forcing would otherwise produce. The shaded region on the chart is the difference: warming that has been bought and not yet delivered.
C₀ · dT₀/dt = γ(T − T₀)
With C = 7.3 and C₀ = 106 W yr m⁻² K⁻¹, the CMIP5 multimodel means. Integration is fourth-order Runge-Kutta at a step of 0.05 years, the same scheme the analysis script uses at a finer step, and the curve is drawn against the closed-form solution so you can see them lie on top of each other.
- Fast timescale
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- Slow timescale
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- Equilibrium
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- RK4 minus closed form
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That last line is the model grading its own homework. The chart draws the Runge-Kutta integration; the numbers come from the two-exponential closed form; and the difference between them is printed so you can watch it stay at the level of floating-point noise while you move the sliders.
Model 2. Where the gap between transient and equilibrium comes from
Equilibrium climate sensitivity is what the planet does eventually. Transient climate response is what it has done by the time carbon dioxide doubles, seventy years into a 1%-per-year ramp. The two are different numbers and the distance between them is not a measurement error. It is the ocean.
Two sliders. λ is the climate feedback, which sets where the system ends up. γ is the heat uptake efficiency, which sets how long it takes to get there. Watch what each one does to the two bars, and to the two timescales underneath them.
Three things worth trying
Set γ to zero in either model. The two-box system becomes a one-box system, the slow mode disappears, and the fast timescale becomes exactly C/λ = 6.46 years. Committed warming goes to essentially nothing within a human lifetime. This is the sanity check the analysis script runs as validation V2, and it is also the clearest demonstration that the ocean is doing all of the delaying.
Then set λ to 1.70 in Model 2. Equilibrium sensitivity drops from 3.05 K to 2.03 K, the realized fraction at 100 years climbs from 73.6% to 81.2%, and the pipeline shrinks from 0.81 K to 0.38 K. That is what happens when you read the feedback off a century of observations instead of a long model run, and the article's section 10 explains why that reading is probably too optimistic.
Last, put γ at 1.2 and λ at 0.82, the two published extremes that both slow the system down. TCR/ECS falls to 0.454 and the realized fraction at 100 years to 60.8%, the corner of the article's parameter grid where the pipeline is deepest: 1.65 K of an eventual 4.21 K still missing a century after the step. Nothing about the eventual warming was settled by moving those two sliders. Only the wait.