This project will assess how precipitation projections for Australia from global and regional models scale using the latest start-of-the-art regional and global climate models.
This study aims to evaluate the air temperature data crowdsourced from such sensing units, Netatmo’ citizen weather stations (CWS), used at multiple locations around Sydney area and analyse its application for monitoring the urban climate in this region.
This project proposes a process-based approach to tackling the question of how the stratosphere and the troposphere are coupled. By employing a hierarchy of circulation models, it will put several basic mechanisms to the test.
This project investigates access pathways of the relatively warm water to the continental shelf by analysing output from a coupled ocean – sea ice model. The student will gain experience in polar oceanography and in the analysis and visualisation of large numerical datasets using python.
This project will examine whether ACCESS-S1 model can replicate the observed seasonal pattern of extreme rainfall timing in Australia, and the relationship with large-scale drivers.
The CLEX node at the University of NSW is offering several PhD scholarships on a competitive basis. Details of how to apply can be found on this page along with some example projects offered by our researchers.
The CLEX node at University of Melbourne is offering several PhD scholarships on a competitive basis. Details of how to apply can be found on this page along with some example projects offered by our researchers.
In this project, the selected student will develop a numerical algorithm to generate a spatial map of Antarctic ice algal biomass using Machine Learning.
In this project, you will use unique data collected during the Antarctic winter to understand the interactions between PSCs, the tropopause, and very cold cirrus clouds which are present in the upper troposphere. You will also determine how small-scale changes in stratospheric winds influence the occurrence, composition and brightness of PSCs.
This project will explore the potential for developing site-based and event-based extreme weather indices for parametric crop insurance using reanalyses of atmospheric climate variables.