August 18, 2021 9:16 am
Published by Jenny Rislund
Compound events (CEs) caused by a combination of multiple drivers often result in more severe socio-economic and ecological impacts than conventional events. One example for CEs with the potential to cause considerable negative impacts on crop yields and human health is the cooccurrence of hot and dry conditions. The student will work with climate model output from Earth System Models participating in the sixth round of the CMIP6 and assess what impact a gradual increase followed by a decrease in atmospheric carbon dioxide has on the occurrence frequency of hot and dry CEs.
August 18, 2021 9:15 am
Published by Jenny Rislund
Due to the lack of appropriate historical datasets, quantification of shifts in global extreme precipitation intensity has not been possible so far. This project will use a recently developed long-term global dataset of daily precipitation alongside a dataset of global temperature changes to calculate the CC scaling for broad climatic regions across the globe.
August 18, 2021 9:14 am
Published by Jenny Rislund
Recent research has shown that mean (raining) and extreme (pouring) changes can align in some regions. This project will use a recently developed long-term global dataset of daily precipitation to answer why, how and where changes in mean frequency and intensity align with changes in extreme frequency and intensity of precipitation.
August 18, 2021 9:13 am
Published by Jenny Rislund
This project aims to quantify the disproportionate exposure to urban heat intensity across major Australian cities. Urban heat stress poses a major risk to the health and wellbeing of urban dwellers. Case studies of individual cities suggest that environmental stressors such as urban heat may be unequally distributed across income groups.
August 18, 2021 9:12 am
Published by Jenny Rislund
The student will work with climate model output from Earth System Models participating in the sixth round of the Coupled Model Intercomparison Project (CMIP6) to assess how a gradual decrease in atmospheric carbon dioxide impacts carbon uptake and storage in the global ocean. Together with a partner project this project will test the reversibility of carbon emissions in terms of the marine system.
August 18, 2021 9:06 am
Published by Jenny Rislund
In this project the student will work with model output from Earth System Models participating in the sixth round of the Coupled Model Intercomparison Project (CMIP6) to assess how a gradual increase in atmospheric carbon dioxide impacts carbon uptake and storage in the global ocean.
July 19, 2021 1:36 pm
Published by Jenny Rislund
The passage of weather fronts over southeast Australia during the spring and summer increases the risk of dangerous fire weather. This project will carry out an analysis of observational data to determine a method for characterising when fronts have passed through southeast Australia.
July 19, 2021 1:35 pm
Published by Jenny Rislund
Anthropogenic climate change has been most clearly observed in the world's midlatitude regions. The limited number of observations for the Southern Hemisphere has prevented the development of a long-term understanding of these changes. This project aims to fill this critical gap by examining daily changes in Southern Hemisphere atmospheric circulation back to 1830. To do this, the project will build on recently recovered daily instrumental weather observations for southern Australia.
April 26, 2021 1:21 pm
Published by Jenny Rislund
This project will explore the characteristics of the linear systems -- size, orientation, propagation - that lead to the most extreme rainfall events.
March 30, 2021 10:32 am
Published by Jenny Rislund
The accumulation of rainfall over a given area depends on a range of things, including duration, intensity, and propagation speed. It is the characteristics of convection that ultimately determine these rainfall properties. The idea for this project is to use a simple method to characterise the properties of the most intense convective / rainfall bearing systems from radar data.