El Niño and the Indian Monsoon: A Connection Under Pressure ✎

Original: "Reconsidering the relationship of the El Niño--Southern Oscillation and the Indian monsoon using ensembles in Earth system models"
arXiv:1803.08909 · 2018-03-23 · arXiv non-exclusive · independent analysis · 2 min
Ensemble simulations show that the El Niño–Indian monsoon relationship strengthened in the 20th century but remains unchanged in future scenarios.

The dance between two partners, the ocean and the sky, has been going on for thousands of years. El Niño warms the Pacific, and usually at the same time seasonal rains over India weaken. But in recent decades, the rhythm seems off: rains don't always respond to the warm current. Climate scientists wanted to know whether the dance itself is changing as the music gets louder from rising greenhouse gases.

Previously, researchers tracked this pair using old records: they averaged values over many years and looked at how they correlated. But that approach is like trying to understand a dance from a blurry photograph. In a changing climate, averages are misleading. So the authors of the new study did something different: they ran not just one but a hundred identical climate models with slightly different starting conditions. After forty years, these simulations, like dancers, finally find a common rhythm, and their spread reveals the true connection.

Instead of time series, they used an ensemble of trajectories converging to a pullback attractor, a set of possible climate states.

In the MPI-ESM model, which simulates climate from 1890 onward, the connection did strengthen, especially in the last two decades. The correlation coefficient rose to 0.4, matching observations. But when the model looked into the future under the RCP8.5 scenario, where emissions grow unchecked, the connection remained the same. The dance didn't become stronger or weaker, even though the music got noticeably louder.

Interestingly, the mean values of pressure and precipitation shift differently across seasons. Precipitation increases mainly during the monsoon, while pressure changes at the end of the year. This means there is no universal link between them, and earlier attempts to derive a general rule were premature.

This work is the first to reliably separate the forced response from internal variability for this teleconnection.

Now climate scientists can apply this method to other pairs, such as the link between El Niño and rains in Africa or Australia. For now, one thing is clear: the dance between ocean and sky is more complex than it seemed, and not every loud tune makes it change.

The sea-level pressure difference between Tahiti and Darwin used in this study underlies the Southern Oscillation, an index that meteorologists have been calculating for over a century.

r = \frac{\langle p_{diff} P \rangle - \langle p_{diff} \rangle \langle P \rangle}{\sqrt{(\langle p_{diff}^2 \rangle - \langle p_{diff} \rangle^2)(\langle P^2 \rangle - \langle P \rangle^2)}}
Angle brackets denote ensemble averaging, not time averaging
Concepts
Multivariate ENSO Index ENSO El Niño-Southern Oscillation Jin-Timmermann model Southern Oscillation spring predictability barrier El Niño index Teleconnection recharge oscillator model TAO/TRITON moorings interannual variability monsoon monsoon onset La Niña ocean-atmosphere coupling ERSST Indian Ocean capacitor effect natural variability relative ONI ensemble forecast