Thermodynamics inversion for mineral systems. This project aims to provide a newly developed science approach to the Australian Lithospheric Architecture Magnetotelluric Project (AusLAMP). AusLAMP provides unparalleled geophysical information aimed at unravelling the tectonic history of the Australian continent and its mineral potential. The project will use thermodynamically based geodynamic simulators to jointly analyse and quantify intraplate deformation. This will illuminate the cause of dri ....Thermodynamics inversion for mineral systems. This project aims to provide a newly developed science approach to the Australian Lithospheric Architecture Magnetotelluric Project (AusLAMP). AusLAMP provides unparalleled geophysical information aimed at unravelling the tectonic history of the Australian continent and its mineral potential. The project will use thermodynamically based geodynamic simulators to jointly analyse and quantify intraplate deformation. This will illuminate the cause of driving fluid flow thorough the lithosphere, mineralisation phenomena, their datasets and geometries, and dynamic aspects of the processes driving mineral systems.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100749
Funder
Australian Research Council
Funding Amount
$434,030.00
Summary
Machine learning of subgrid ocean physics for global ocean models. Climate projections require simulations with ocean-climate models for hundreds of years. Computational resources limit the resolution of our models for such long runs, meaning that some key physical processes remain unresolved and must be parameterised. This project uses machine learning to find new parameterisations for unresolved ocean processes. These new parameterisations will be implemented into computationally cheaper coars ....Machine learning of subgrid ocean physics for global ocean models. Climate projections require simulations with ocean-climate models for hundreds of years. Computational resources limit the resolution of our models for such long runs, meaning that some key physical processes remain unresolved and must be parameterised. This project uses machine learning to find new parameterisations for unresolved ocean processes. These new parameterisations will be implemented into computationally cheaper coarse-resolution ocean models, thereby enhancing these models' representation of the ocean circulation. This project expects to reveal the dynamics of unresolved processes, to improve the accuracy of climate projections and to provide a proof-of-concept for how machine learning can be used in ocean and climate science.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100184
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Understanding Antarctic dense water formation. This project aims to use a high-resolution global modelling approach to understand how Antarctic dense water formation changed in past climates and how to predict future changes. The Southern Ocean is critical in the uptake of heat and carbon from the atmosphere into the deep ocean. The sinking of cold and saline dense water around the coast of Antarctica transports heat and carbon into the deep ocean. Climate models fail to simulate this process an ....Understanding Antarctic dense water formation. This project aims to use a high-resolution global modelling approach to understand how Antarctic dense water formation changed in past climates and how to predict future changes. The Southern Ocean is critical in the uptake of heat and carbon from the atmosphere into the deep ocean. The sinking of cold and saline dense water around the coast of Antarctica transports heat and carbon into the deep ocean. Climate models fail to simulate this process and little is known about how dense water formation responds to changes in climate. Identification of critical vulnerabilities associated with Antarctic ice shelf melting and sea level rise will guide Southern Ocean observation systems and Australian climate adaptation programs.Read moreRead less
Spanning ten billion scales from millimetre turbulence to global circulation. This project aims to explain the role of convection in the ocean. Convection is a key climate process yet it remains one of the most poorly understood mechanisms in the ocean and is crudely represented in climate models, leading to uncertainties in predictions of heat transport, climate change, polar ice loss and sea level rise. Using a unique turbulence-resolving approach and high-performance computing, the project wi ....Spanning ten billion scales from millimetre turbulence to global circulation. This project aims to explain the role of convection in the ocean. Convection is a key climate process yet it remains one of the most poorly understood mechanisms in the ocean and is crudely represented in climate models, leading to uncertainties in predictions of heat transport, climate change, polar ice loss and sea level rise. Using a unique turbulence-resolving approach and high-performance computing, the project will determine both the global role of buoyancy-driven convection in the broad ocean circulation and the local turbulence controls on melting rates of Antarctic ice-shelves. This will contribute to the formulation of better climate models and keep Australia at the forefront of oceanography and environmental fluid dynamics.Read moreRead less