Discovery Early Career Researcher Award - Grant ID: DE180100087
Funder
Australian Research Council
Funding Amount
$328,075.00
Summary
Internal wave breaking and mixing in the ocean. This project aims to quantify turbulent mixing in the ocean using ultra-high-resolution numerical modelling. Turbulent mixing is caused by internal waves which transport energy from the ocean boundaries into the interior, where they drive mixing of cold, deep water with warmer water above. This mixing is crucial to the ocean circulation which controls the storage of heat and carbon in the ocean, but is inadequately represented in current climate mo ....Internal wave breaking and mixing in the ocean. This project aims to quantify turbulent mixing in the ocean using ultra-high-resolution numerical modelling. Turbulent mixing is caused by internal waves which transport energy from the ocean boundaries into the interior, where they drive mixing of cold, deep water with warmer water above. This mixing is crucial to the ocean circulation which controls the storage of heat and carbon in the ocean, but is inadequately represented in current climate models. The anticipated outcome of the project is an enhanced, global-ocean model incorporating an accurate description of turbulent mixing. This should provide significant benefits to the Australian community by improving the accuracy of future climate predictions.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220101027
Funder
Australian Research Council
Funding Amount
$455,906.00
Summary
Resolving ocean convection: new knowledge for a changing Antarctica. This project aims to improve our understanding of the role of convection on the Antarctic margins using a high-resolution, cutting-edge numerical approach. Convection is an important, but poorly understood oceanic process, which diverts heat away from the melting Antarctic ice shelves by transporting cold and salty water from the ocean surface to depth. The project outcomes will be new knowledge of the physics from novel numeri ....Resolving ocean convection: new knowledge for a changing Antarctica. This project aims to improve our understanding of the role of convection on the Antarctic margins using a high-resolution, cutting-edge numerical approach. Convection is an important, but poorly understood oceanic process, which diverts heat away from the melting Antarctic ice shelves by transporting cold and salty water from the ocean surface to depth. The project outcomes will be new knowledge of the physics from novel numerical models and theory, supported by insights from observations and model parameterisations. This timely research will improve prediction of sea level rise due to a changing Antarctica and enhance our ability to adapt to future climate scenarios, providing significant environmental and health benefits to Australians.Read moreRead less
Understanding the Southern Ocean overturning circulation and its sensitivity to climate variability. Our ability to understand and ultimately predict climate is critically dependent on understanding the Southern Ocean circulation and its sensitivity to atmospheric variability. The project will use a combination of observations and high-resolution numerical models to provide insights into the dynamics of the Southern Ocean overturning circulation.
Discovery Early Career Researcher Award - Grant ID: DE120102927
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Ingredients of the eddy soup in Southern Ocean dynamics: processes, climate impacts and parameterisation. This project aims to understand jet-topography-eddy interactions in the Southern Ocean, and to apply that understanding to improving the representation of ocean physics in models. It will provide the underpinning science needed to increase confidence in climate predictions that will allow Australia to more effectively respond to climate change.
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: DE210100004
Funder
Australian Research Council
Funding Amount
$440,185.00
Summary
Mixing and air-sea coupling in the Pacific: Toward better El Nino forecasts. The Tropical Pacific drives significant year-to-year variability in Australian rainfall and climate extremes. However, tropical climate predictions are severely limited due to systematic biases in numerical climate models. Using new techniques and leveraging international collaborations, this project aims to transform our ability to simulate tropical Pacific climate through a new understanding of key air-sea interaction ....Mixing and air-sea coupling in the Pacific: Toward better El Nino forecasts. The Tropical Pacific drives significant year-to-year variability in Australian rainfall and climate extremes. However, tropical climate predictions are severely limited due to systematic biases in numerical climate models. Using new techniques and leveraging international collaborations, this project aims to transform our ability to simulate tropical Pacific climate through a new understanding of key air-sea interaction and ocean mixing processes. Expected outcomes include a better representation of tropical climate in the Australian climate model and improved seasonal to interannual predictive capability. These improved predictions will give communities more time to prepare for extreme events such as droughts, heatwaves and bushfires.Read moreRead less
Quantifying and parameterising ocean mixing. This project aims to advance our ability to describe the efficiency and intensity of ocean mixing. The project will develop and apply innovative techniques to estimate ocean mixing from both traditional ship-based, vertical-profiling turbulence measurements and from autonomous moorings. The project will undertake a re-analysis of historic measurements and obtain new measurements using autonomous systems. The results will be used to develop both a uni ....Quantifying and parameterising ocean mixing. This project aims to advance our ability to describe the efficiency and intensity of ocean mixing. The project will develop and apply innovative techniques to estimate ocean mixing from both traditional ship-based, vertical-profiling turbulence measurements and from autonomous moorings. The project will undertake a re-analysis of historic measurements and obtain new measurements using autonomous systems. The results will be used to develop both a universal relationship describing the efficiency of ocean mixing, and to quantify the underlying length scale controlling mixing intensity. This will enable the development of the next generation of turbulence closure models needed to describe ocean circulation and stirring.Read moreRead less
Interactions of physical processes for Southern Ocean dynamics. The Southern Ocean circulation is a major component of the earth’s climate system. Its behaviour depends strongly on the interactions of physical processes that are poorly understood and are not well represented in ocean models. This project will use laboratory experiments and fully-resolved flow simulations with appropriate scaling to examine the dynamics of key interactions between convection, mixing, wind-driven flow, eddies and ....Interactions of physical processes for Southern Ocean dynamics. The Southern Ocean circulation is a major component of the earth’s climate system. Its behaviour depends strongly on the interactions of physical processes that are poorly understood and are not well represented in ocean models. This project will use laboratory experiments and fully-resolved flow simulations with appropriate scaling to examine the dynamics of key interactions between convection, mixing, wind-driven flow, eddies and large-scale currents, while translating the results to improve ocean models. The project will develop the fundamental physics of the deep overturning circulation, the Antarctic Circumpolar Current, response timescales and heat uptake in a warming world, and improve predictions of oceanic and climate change.Read moreRead less
Melting and circulation in Antarctic ice shelf cavities. This project will explore and model the mechanisms causing the observed increased rate of melting of Antarctica’s ice shelves. This understanding is essential for accurate predictions of sea level rise and global thermohaline circulation over the next century, so that their impact on society can be planned for and mitigated.
A new energy budget for the global circulation of the oceans. The energy sources and sinks that govern the global circulation of the oceans will be re-evaluated, building a new picture of the energy budget of the oceans. This will lead to new knowledge of the circulation of the deep oceans, to better ocean and climate-prediction models, and ultimately to more reliable estimates of future climate change.