This project aims to discover where and when regional climate models improve (or not) on the simulation of Australian heatwaves, relative to their host global climate models.
In this project, the student will learn more about the effects of the Millennium drought on the surface energy budget, particularly on the ratio of sensible heat flux to latent heat flux (i.e. SH/LH).
This project will explore different methods of assessing cumulative exposure to air pollution in order to make suggestions as to how we might best make policy recommendations that protect the health of all Australians, including vulnerable communities.
This student project will focus on spatially correlated events in Australia that occurred in the past 30 to 40 years. Using observations over this time period the student will catalogue past compound events; assess possible trends in their occurrence; check for preferred spatial correlation patterns; and assess if these were accurately reproduced in reanalysis products (e.g. BARRA, ERA-5 and/or ERA-Interim).
This student project will determine the probability of a drought being terminated by an extreme precipitation event to assess the risk of drought-induced flooding. For this the student will assess observations, reanalysis data and results from a large climate model ensemble.
The summer student on this project will make use of recent observations and combine these novel machine learning and image processing techniques to understand the drivers of recent ocean change.
We are seeking a summer student to help understand the asymmetric and often surprising behaviour of the ocean in response to rapid warming and cooling to better understand the ocean's role in climate change.
This project defines a new PV that naturally generalizes the 1942 PV to multicomponent fluids such as these. We will assess the quality of its conservation law in both oceanographic and atmospheric datasets, comparing against those for previous definitions of PV.
In this project, we will investigate the links between precipitation extremes and the Interdecadal Pacific Oscillation (IPO), including its signature in El Niño–Southern Oscillation (ENSO) impacts, across tropical land regions.
In this project, the selected student will use the satellite-based data obtained from the National Snow and Ice Data Center (NSIDC) to give an overall comparison of the sea ice variations in Arctic and Antarctic during the recent decades.