We are seeking a summer student to help understand the asymmetric and often surprising behaviour of the ocean in response to rapid warming and cooling to better understand the ocean's role in climate change.
This project defines a new PV that naturally generalizes the 1942 PV to multicomponent fluids such as these. We will assess the quality of its conservation law in both oceanographic and atmospheric datasets, comparing against those for previous definitions of PV.
In this project, we will investigate the links between precipitation extremes and the Interdecadal Pacific Oscillation (IPO), including its signature in El Niño–Southern Oscillation (ENSO) impacts, across tropical land regions.
In this project, the selected student will use the satellite-based data obtained from the National Snow and Ice Data Center (NSIDC) to give an overall comparison of the sea ice variations in Arctic and Antarctic during the recent decades.
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.