Author(s): Ewan Short

‘A cunning plan’: how La Niña unleashes squadrons of storm clouds to wreak havoc in your local area

Upload your content
Pedestrians shelter under an umbrella amid heavy rains
Andriy Blokhin/Shutterstock

Heavy rain and floods have once again hit towns and suburbs across eastern Australia. Some areas have been devastated, while others have been spared the worst. While climate drivers like La Niña make extreme wet weather more likely, what explains when and where the storm clouds deliver a deluge?

Extreme weather, such as the heavy rainfall battering eastern Australia, is like military conflict. In war, the enemy’s behaviour depends on the decisions of many actors: from generals and lieutenants down to individual soldiers. Similarly, heavy rainfall is the culmination of diverse physical processes, from the planetary scale down to the microscopic.

A strategic defence requires anticipating how the enemy will behave across this hierarchy. To continue with the military analogy, this is how we can explain the weather offensive of the past week.

The generals command the offensive

Processes on a yearly or planetary scale, such as La Niña and the Southern Annular Mode, are like generals. Over the preceding years and months, these two generals hatched a plot of warmer-than-usual waters and more-easterly-than-normal winds around northern and eastern Australia.

La Niña promotes easterly winds by strengthening the Pacific equatorial oceanic and atmospheric circulations. The Southern Annular Mode moves the belt of high- and low-pressure systems you see on the evening news further south, reducing their obstruction of the easterly winds.

Stronger easterlies help humid air over the Pacific advance into the eastern states and feed storm clouds: a cunning plan.

3 lieutenants in action during floods

Daily and state-scale processes, such as the pressure patterns mentioned above, are like lieutenants. These lieutenants decide the particular day, and states, to attack. At least three lieutenants have been in action during the current flooding.

The first was a high south-west of New Zealand. Air wants to move from high to low pressure but is confounded by Earth’s rotation. Southern hemispheric winds thus travel anticlockwise around highs and clockwise around lows.

The New Zealand high reinforced the general’s stronger easterly winds, directing humid air toward Victoria and New South Wales.

The second lieutenant was an undulation in the upper-level winds over Victoria. Through complex physics, this undulation promoted upward motion over the south-eastern states, supporting the development of storm clouds.

The third lieutenant was a low in the Great Australian Bight. This low dragged cold Antarctic air clockwise around itself, forming a cold front. This cold front triggered the storm clouds as it advanced through Victoria.

These three lieutenants, supported by the strategy of their generals, together conspired to inflict the heavy rainfall on October 13 in the south-eastern states. Tactically devious.

Soldiers attack each suburb and town

Hourly and suburb-scale processes, such as storm clouds, are like the individual soldiers: they decide the particular suburb to attack. A storm cloud features an intense updraft usually about 2km wide.

These updrafts are largely powered by the condensation of water vapour onto dust particles – a microscopic process. Witnessing a growing storm cloud is like watching an explosion, except the energy source is condensation, not combustion.

A soldier’s behaviour typically reflects the designs of their lieutenants, but they are not robots. In a firefight, they make their own decisions and can organise of their own volition.

Soldiers may march single file through a city, successively attacking the same building as they pass. Or they may march many abreast, attacking more buildings but with reduced firepower. Squadrons of storm clouds make analogous choices.

So how can we predict these events?

Because the enemy organises across large, medium and small scales, so must we. To help with this, the Australia Bureau of Meteorology uses a computer simulation called the Unified Model. It’s akin to the physics engines in computer games such as Halo.

The simulation is “unified” because it uses the same basic infrastructure to predict the atmosphere’s behaviour at all scales, from generals down to soldiers.

Using the Unified Model we can predict lietenants’ behaviour – the high- and low-pressure patterns – extremely well five to seven days out. It took nearly a century of global scientific effort to build this capability.

Anticipating the schemes of generals – processes such as La Niña – is much harder. The bureau generates La Niña predictions by running the Unified Model many times and counting how often La Niña persists and how often it decays to estimate its most likely behaviour. Current simulations suggest La Niña will likely decline over spring and conclude early in 2023.

It is similarly difficult to predict the behaviour of individual soldiers – the individual storm clouds. Eventually, we hope to be able at least to predict how these clouds organise – whether they will march single file or abreast.

The bureau pursues this goal by running complex Unified Model simulations, which explicitly simulate the movement of individual storm clouds over each capital city. These complex simulations are run inside a simpler, global Unified Model simulation – a bit like the film Inception (a dream within a dream).

It will take decades, if not centuries, before we can seamlessly anticipate the behaviour of the generals and soldiers of the weather as well as we do for the lieutenants. Developing this capability requires sustained support for diverse scientists across many specialities.

While the threats are significant, we now have a deep grasp of the behaviour of lieutenants and are making promising progress with generals and soldiers. Coupled with the success of the unified approach, there are grounds for optimism.

CC BY-ND 4.0

The Conversation

Explore further

Country and region Australia

Please note: Content is displayed as last posted by a PreventionWeb community member or editor. The views expressed therein are not necessarily those of UNDRR, PreventionWeb, or its sponsors. See our terms of use

Is this page useful?

Yes No
Report an issue on this page

Thank you. If you have 2 minutes, we would benefit from additional feedback (link opens in a new window).