All data sources agree that positive IOD events are becoming stronger and occur more often and that the mean-state of the Indian Ocean is moving towards a more positive IOD-like state due to enhanced warming in the west compared to the east.
Using a high-resolution ocean model, CLEX researchers unexpectedly found 80% of the transport in the warm water layer, known as Circumpolar Deep Water, approaches Antarctica in the colder regions.
A recent study by CLEX researchers analysed a sub-cyclone that was part of a major Mediterranean storm in 2012. The results showed how the storm intensified and gave an insight into how these structures can be better forecast.
CLEX authors and colleagues from major Australian science organisations investigating climate examined the simulation of Australian climate in the new, state-of-the-art Coupled Model Intercomparison Project, phase 6 (CMIP6) models.
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.
New research finds Okubo-Weiss-Zeta parameter scheme has superior performance detecting tropical cyclone frequency characteristics compared to the CSIRO tracking scheme.
Most climate models correct for current SSTs but don't correct for the reliability of future SSTs. This study shows that making that additional correction has a profound impact on how tropical cyclones will develop in a warmer world.
To better assess the degree of organisation in radar observations CLEX researchers developed the Radar Organisation Metric (ROME). ROME's statistical properties suggest it is able to distinguish between the degree of convective organisation, and it also captures different regimes of the monsoon in Northern Australia.
This study presents a method for combining multiple observational datasets of the energy and water budgets at the land surface from different sources into a single hybrid dataset that conserves energy and mass.
This two part paper examines the capacity of ACCESS to simulate tropical cyclone climatology and then used the same model to examine the relationship between climate variables and tropical cyclone formation.