August 23, 2021 8:36 am
Published by Jenny Rislund
This project will explore the use of supervised and unsupervised statistical learning methods (such as neural networks, random forest, clustering) to understand the impact of climate change on hydrological extremes and/or to simulate downstream impacts on affected sectors, such as agriculture, energy, transport, water resources management.
August 18, 2021 11:48 am
Published by Jenny Rislund
In 1891, Melbourne experienced one of its worst floods on record leading to extensive damage and many deaths. But what was this wayward weather system? How often do lows from our east coast drift westward, and what are their impacts in Victoria? How many of our most significant flooding events are associated with a pattern like this? And are these systems changing over time?
June 10, 2020 9:27 am
Published by Climate Extremes
CLEX researchers and colleagues from the University of the Balearic Islands explored what was most responsible for the coastal damage caused by Storm Gloria in 2020. The storm killed 13 people and left a damage bill in excess of $200m.
April 16, 2020 11:40 am
Published by Climate Extremes
CLEX researchers and colleagues find Australia's infrastructure would be unable to deal with past flood events and thus is very likely to be unable to mitigate future flooding under climate change.
July 16, 2019 1:00 am
Published by Climate Extremes
The aim of this student project is to investigate the impacts of climate change on hydrological extremes, such as high runoff events, hydrological or agricultural drought. It uses outputs of the AWRA-L hydrological model, which underpins the BoM's Australian Landscape Water Balance website.
