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Drought Research Program – 2022 Update
The ARC Centre of Excellence for Climate Extremes’ Drought research program has had a very productive year, including building momentum through two in-person workshops of the research team. In March… View Article
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Attribution and Risk Research Program – 2022 Update
The Attribution and Risk research program had a busy start to the year, organising and participating in a number of seminars and meetings around the February and March extreme rainfall… View Article
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Weather and Climate Interactions Research Program – 2022 Update
The Weather and Climate Interactions research program investigates climate, and especially climate extremes, through a weather lens.
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Rapid Rain Bursts in Sydney
When researchers at the ARC Centre of Excellence for Climate Extremes discovered that rapid rain bursts in Sydney had intensified by 40 percent in two decades, it caught the attention… View Article
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Climate science leaders of the future – 2022 Update
Associate Professor Melissa Hart has been the heart of the Researcher Development Program since the inception of the ARC Centre of Excellence for Climate Extremes, in 2017.
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Finance Sector and Financial Risk – 2022
As recognition of climate risk and business grows, and as regulators encourage business to consider climate risk, the breadth of interested organisations grows.
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Say my name: the polarising name of atmospheric rivers
While scientific debate is important and healthy, we must be careful not to let nomenclature become the centre of the debate, and ultimately delay progress in our understanding of phenomena.
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What is a compound event in weather and climate?
A compound event is when bad weather and climate events combine together. Storms, droughts, floods and fires can become compound events.
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Poorer countries must be compensated for climate damage. But how exactly do we crunch the numbers?
Low-income nations have contributed relatively little to global emissions. Compensation from richer nations is vital to helping them manage the growing burden of climate harms.
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Using Machine Learning to Cut the Cost of Downscaling Global Climate Models
This research has the potential to create RCM emulators that can efficiently downscale multiple variables simultaneously, while preserving the physical relationships between them.