This is a three-year postdoctoral position focused on high-resolution modelling of extreme rainfall associated with organised convective storms.
A new study by CLEX researchers using observations from FLUXNET sites identifies regions of high and low predictability and will likely help improve land surface model evaluation.
New research clearly demonstrates the potential to predict long-term LAI using simple ecohydrological theory. This approach could potentially be incorporated into existing terrestrial biosphere models and help improve predictions of LAI.
When Chilean researcher Dr Erasmo Macaya from Universidad de Concepción and Centro IDEAL stumbled upon foreign kelp washed up on an Antarctic beach, he knew he had found something significant. Research by an international, multidisciplinary team of scientists reveals just how important that finding was.
Short, extreme rainfall events will increase in a warming climate, according to observations and climate models. Australian observations suggest these storms become smaller in size, with increased rainfall concentrating even more around the centre of the storm cell. However, there has been recent contradictory climate model research that suggests storm areas may become larger. To understand this contradiction the researchers compared two different model types to real world observations of storm cell changes that occurred with rising temperatures. An area... View Article
This research suggests some trees and in particular, Australian trees, may be more resilient than expected to future warming and extreme events. These findings have implications for planning around which species to plant in “green cities” to help mitigate future climate extremes.
Asthmatics and those affected by polluted environments living around major cities along Australia’s east coast could find life much harder over the next 50 years as stronger inversion layers caused by climate change trap more pollution.
Past observations suggest future global warming may eventually be twice as warm as projected by climate models under business-as-usual scenarios and sea levels may rise 6m at 2°C.
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.
Using novel techniques developed by the supervisory team, the PhD candidate will evaluate the role of diabatic processes in the ENSO cycle, and how they may change in the future, using new observations and state-of-the-art model simulations. This research is critical to improving our ability to project future climate change.