August 30, 2019 10:26 am
This project will involve measurements in a cutting-edge global change field experiment to close this knowledge gap by examining plant growth responses to elevated CO2 during repeated drought cycles.
August 30, 2019 10:19 am
This project will apply a state of the art, hierarchical Bayesian modelling framework to determine how past climatic conditions influence current responses to high CO2concentrations. The project will use data from a new, specially-designed experiment, as well as results from past Free-Air Carbon dioxide Enrichment (FACE) and Open-top chamber (OTC) experiments, to close this knowledge gap.
July 23, 2019 12:53 pm
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.
June 22, 2018 4:29 am
This interdisciplinary project will apply methods from statistical physics, which are only beginning to be used in the environmental sciences, to better exploit such data, advance our basic understanding, and produce more useful models for weather and climate changes.
June 22, 2018 3:28 am
This PhD project will use climate model simulations to examine how sensitive attribution assessments of high-impact heatwaves to human emissions of carbon dioxide are to the representation of key physical processes.
June 22, 2018 1:49 am
With major developments in climate modelling we are significantly closing the gap that used to exist between what business needs to know and what climate science/engineering can provide. This project will merge climate science and engineering to address the key question industry asks – what is the future economic viability of renewable projects?
April 10, 2018 1:00 am
This research project will examine the influence of anthropogenic climate change on health impacts of Australians. It will involve defining and becoming familiar with several high-impact heatwaves in the observed climatological record, and determining who is most vulnerable and from which diseases.