In this paper, as part of the Future Seas project, the researchers built upon previous work by using a foresighting scenario analysis technique to envision two alternative possible futures for society by 2030, in the context of the challenge of climate change adaptation and mitigation.
Tag Archive: extreme events
This project will explore the use of supervised and unsupervised statistical learning methods (such as neural networks, random forest, clustering) to understand the impact of climate change on hydrological extremes and/or to simulate downstream impacts on affected sectors, such as agriculture, energy, transport, water resources management.
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.
In a recent CLEX study, published in Climatic Change, researchers discuss the choices taken at each step, which may affect the final outcome and usefulness of extreme event attribution analyses.
UMELB03: Characteristics of linearly organized precipitation systems that lead to sub-daily extreme rainfall in VictoriaApril 26, 2021 1:21 pm Comments Off on UMELB03: Characteristics of linearly organized precipitation systems that lead to sub-daily extreme rainfall in Victoria
This project will explore the characteristics of the linear systems -- size, orientation, propagation - that lead to the most extreme rainfall events.
The newly formulated Attribution and Risk research program is by its very nature focused on the impacts of weather and climate on our society. A key piece of research on business risk and the emergence of climate risk perfectly highlighted this.
This paper used statistical techniques to investigate changes in extreme climate events that currently occur, on average, only once every 20 years. These techniques are applied to data related to heat, rainfall, drought and conditions conducive to bushfires and thunderstorms from detailed climate modelling commissioned by NSW and ACT Governments.
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).