El Niño as a Thermostat: The Accumulated Effect of the Southern Oscillation ✎

Original: "Comment on "Influence of the Southern Oscillation on tropospheric temperature" by J. D. McLean, C. R. de Freitas, and R. M. Carter"
arXiv:0908.1828 · 2009-08-13 · arXiv non-exclusive · independent analysis · 2 min
The cumulative Southern Oscillation Index explains half of tropospheric warming since 1960, challenging the dominant role of greenhouse gases.

The bathtub fills with warm water, but the drain is open. Each El Niño wave adds a pulse of heat, and only part of it escapes back to space. Over decades, this tub can heat up noticeably more than from just the slow turning of the greenhouse gas faucet.

Climate scientists have debated for decades how much natural ocean variability, like El Niño, can explain the observed warming. Earlier studies found a link between the Southern Oscillation Index (the pressure difference between Tahiti and Darwin) and air temperature, but they couldn't tie it to the long-term trend because they removed the trend itself from the data. The new work does it differently: it sums all index values since 1960 into a single cumulative total, like an accountant tallying the drops that fell into the tub.

The cumulative Southern Oscillation Index peaked at 948 in 1976, when the troposphere was among the coldest in half a century, and hit a minimum of -172 in the record-warm year 1998.

When this cumulative index was added to a statistical model alongside solar activity, volcanic dust, and anthropogenic factors, it explained half of the tropospheric temperature changes and 54% of surface temperature changes. A simple model with only the accumulated El Niño turned out to be almost as strong as a model with only anthropogenic forcing. This doesn't mean greenhouse gases aren't warming the planet, but their contribution over the past half century may have been overestimated.

The climate sensitivity to anthropogenic forcing, when accounting for accumulated El Niño, was 0.19±0.02 degrees per watt per square meter, notably lower than the value models need to reproduce the trend.

The accumulation mechanism is not as mysterious as it seems. The warm pool of water after El Niño doesn't vanish immediately: part of it sinks and returns the following winter, like a half-finished cup of tea topped up with boiling water. In this way, the ocean acts not just as a seesaw but as a slow heat battery. If this inertia is indeed large, climate models that underestimate it will systematically attribute natural warming to human activity.

The bathtub from the first sentence turns out to be not a metaphor but a diagnosis. The water in it rises not only from our faucet but also from the ocean's own warm waves. And until we learn to separate these two sources, any promise to predict climate precisely will remain nothing but reading tea leaves.

The cumulative SOI index peaked at 948 in 1976, coinciding with one of the coldest periods in the troposphere over the past 50 years, while the minimum of -172 in 1998 coincided with the record warmest year.

cSOI(t) = \sum_{i=1}^{t} SOI_i
Sum of all previous Southern Oscillation Index values up to time t
T = 0.29 - 0.00055 \cdot cSOI - 0.0061 \cdot SOI - 1.8 \cdot V - 0.0011 \cdot SSN
Model linking temperature to cumulative SOI, SOI itself, volcanic aerosols, and solar activity
T = -0.15 - 0.00025 \cdot cSOI - 0.0051 \cdot SOI - 1.6 \cdot V - 0.0007 \cdot SSN + 0.19 \cdot AF
Model adding anthropogenic forcing to the equation
Concepts
ENSO Southern Oscillation El Niño-Southern Oscillation Multivariate ENSO Index El Niño index Jin-Timmermann model spring predictability barrier TAO/TRITON moorings La Niña recharge oscillator model ERSST relative ONI NOAA CPC natural variability Teleconnection seasonal forcing UAH satellite record Indian Ocean Dipole seasonal cycle monsoon