Droughts lasting longer across Australia, study shows
2025-12-12T14:50:00+11:00
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Droughts are lasting longer in Australia, particularly in some of our most populated regions, 91色情片 scientists have shown.
聽tracking not only the forces that drive drought but the damage it leaves behind has revealed that droughts have lasted longer in Australia in recent decades, especially in areas with the most people and farms.
91色情片 researchers analysed drought trends across Australia between 1911 and 2020 based on rainfall shortages and falling river and dam levels.
Their analysis showed that, since 1971, the time spent under drought conditions has increased across most of Australia, especially in the southeast and southwest, which are densely populated and key breadbaskets.
The increasing dryness was especially felt during winter and spring, which are critical seasons for growing crops like wheat.
Lead author, 91色情片 PhD student Matt Grant, says the trend, which is expected to continue, is especially concerning because the regions where drought is more severe are also some of the most important to Australia鈥檚 economy and people鈥檚 welfare.
鈥淎cross early parts of the last century, it was wetter, but we can see that pattern has reversed since the 70s.
鈥淚n recent years, we鈥檝e had this general sense that droughts are lasting longer. Our work puts data behind the intuition and confirms it.
In recent years, we鈥檝e had this general sense that droughts are lasting longer. Our work puts data behind the intuition and confirms it.
鈥淲e expect this trend to continue, which increases water security risks for some of Australia鈥檚 major cities and rural towns and puts serious pressure on farming.鈥
He says it鈥檚 not yet possible to say whether these conditions are caused by climate change, because Australia has historically had large variation in rainfall.
鈥淚t鈥檚 not to say that climate change isn鈥檛 influencing drought, it鈥檚 that the natural swings in Australia鈥檚 climate are so large that it may take longer for a clear signal to emerge from the noise.鈥
The AI unravelling Australia鈥檚 drought secrets
The researchers used AI to find relationships between these conditions and hundreds of official drought records of crop losses and threats to important water reservoirs in the southeast of the country.
Co-author Dr Sanaa Hobeichi, who pioneered an earlier , says the approach helps answer long-standing questions in drought science.
鈥淚t wasn鈥檛 really understood how closely weather was reflected in actual drought impacts, but we could show they clearly mirror one another,鈥 she says.
鈥淭he model links all the steps of a drought, from the first missed rain to documented consequences.鈥
She says the research also shed new light on some of the less visible drivers of drought.
The study shows that what is happening in the soil and atmosphere is usually a better indicator of drought risk than rainfall across a month.
Evaporation on hot, dry days was the strongest predictor of crop failure, particularly in the driest regions like the Rangelands, which cover more than 80% of Australia鈥檚 total landmass.
Whether or not water levels would run low, in turn, often hinged on soil moisture, because very dry soil soaked up rain before runoff could reach rivers and dams.
Dr Hobeichi says the results build on a growing body of research showing that drought risk is incredibly complex and can鈥檛 always be predicted by major weather systems like El Ni帽o.
鈥淒ifferent droughts have different profiles,鈥 she says. 鈥淎I lets us understand the complex dynamics of each one.鈥
鈥淲e used what's called a Random Forest model, because it doesn鈥檛 just look for one simple answer, like 鈥榠f rain is low, it鈥檚 a drought鈥.
鈥淚t creates an enormous number of decision trees, which ask whether certain conditions have been met in terms of ocean systems, temperature or crop failure, and in complicated combinations.
鈥淎t the end, it combines all these different outcomes to give you the most likely result.鈥
She says there is growing interest in developing impact-based approaches to better manage future climate risks.
鈥淧eople want metrics that reflect conditions on the ground, not just anomalies in a single variable, because a lot of the risks we鈥檙e facing are cascading and compounding.鈥
People want metrics that reflect conditions on the ground, not just anomalies in a single variable, because a lot of the risks we鈥檙e facing are cascading and compounding.
However, she says, the AI would need further research and testing to adapt it for use as a tool to assess drought risk in a hotter future.
鈥淩ainfall patterns, soil moisture and ocean drivers will all shift under climate change, altering the 鈥榬ecipe鈥 for drought.
鈥淎ny future applications will require stress-testing the model under conditions that resemble projected climates.鈥
Even so, she says, the model has real potential for climate resilience planning.
鈥淭he AI could one day tell us not only when conditions are dry, but when it鈥檚 going to start affecting people鈥檚 lives, letting us make better decisions about where we need to allocate resources to adaptation.鈥
Dr Hobeichi is part of a research team currently working on a nationwide drought-impact database, extending beyond NSW to all major cropping regions.
Media enquiries
For enquiries about this story please contact Elva Darnell:
Tel: 0431 601 216
Email: e.darnell@unsw.edu.au
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