The objective of the project is to use a combination of station-based measurements and reanalyses (e.g. BARRA, ERA-5) to create a climatology of precipitable water for Australia. After creating the dataset, the student will also analyse trends and variability.
The proposed project aims to implement this new turbulence diagnostic scheme and evaluate its performance using high-resolution Himawari-8 imagery. Using data from the aviation industry, some preliminary verification of the diagnostic will be undertaken. Additional observational and model data will be used to investigate turbulence-prone atmospheric conditions and processes (e.g. wind shear, mountain waves, etc).
The objective of this project is to develop and evaluate a post-processing method to correct gridded runoff forecasts. Improving the accuracy of gridded runoff forecasts helps to improve the skill of predictions of extreme events, such as the risk of flooding or drought.
The aim of this student project is to investigate the relationships between hydrological extremes (especially soil moisture drought) and wheat production in Australia. The outcome of the project may inform the development seasonal forecasts of hydrological indicators for agricultural production in Australia.
The aim of this student project is to investigate the effect of bias correction and downscaling methods on hydrological projections for Australia.
The aim of this student project is to investigate the impacts of climate change on hydrological extremes, such as high runoff events, hydrological or agricultural drought. It uses outputs of the AWRA-L hydrological model, which underpins the BoM's Australian Landscape Water Balance website.
This project will use the World Urban Database and Access Portal Tools (WUDAPT) to classify land-use of Australian metropolitan regions and surrounds.
The proposed project involves generalising FourierFlows.jl so that it can run both on CPUs and on GPUs effortlessly. Running simulations on GPUs will enable up to 100 or even 200-times speedups.
This project will use output from state-of-the-art climate simulations of the Last Millennium (850–2005 CE) to explore the long-term variability of an Australian climate driver of the student’s choice. The student will explore the natural variability of that driver to determine its long-term context, and compare with palaeoclimate reconstructions (proxies) where possible.
Project: To investigate rapid shallow-water/coastal marine cooling events characterised by sudden transitions from marine heatwave to marine cold spell conditions, and the risk likelihood to vulnerable fish species.