Bubble clouds in ocean waves. This project aims to predict the behaviour of bubble clouds in ocean waves. Bubble clouds are used in Europe to shield marine mammals from the dangerous noise of offshore wind-turbine construction, but would be dispersed by Australia's ocean swell and turbulence; and unlike in Europe, Australia's offshore-wind sites are frequented by endangered whales. Bubble clouds from breaking waves may also dissolve up to third of humanity's carbon in the ocean. Experiments and ....Bubble clouds in ocean waves. This project aims to predict the behaviour of bubble clouds in ocean waves. Bubble clouds are used in Europe to shield marine mammals from the dangerous noise of offshore wind-turbine construction, but would be dispersed by Australia's ocean swell and turbulence; and unlike in Europe, Australia's offshore-wind sites are frequented by endangered whales. Bubble clouds from breaking waves may also dissolve up to third of humanity's carbon in the ocean. Experiments and coordinated numerical simulations would predict the displacement and dispersion of bubbles in oceanic conditions. Experiments and simulations would then predict the acoustic behaviour of bubble clouds. This outcome would benefit new offshore-wind industries and climate science.Read moreRead less
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: DE140100076
Funder
Australian Research Council
Funding Amount
$394,585.00
Summary
Mixing hot spots in the Southern Ocean: processes, parameterisations and climate impacts. The Southern Ocean plays a critical role in the uptake of heat and carbon dioxide from the atmosphere into the deep ocean. This uptake depends strongly on mixing processes due to ocean eddies, which are especially important in regions of steep topography, leading to localised mixing hot spots. These ocean eddies have scales of 10-100km and therefore can not be resolved in current global climate models. This ....Mixing hot spots in the Southern Ocean: processes, parameterisations and climate impacts. The Southern Ocean plays a critical role in the uptake of heat and carbon dioxide from the atmosphere into the deep ocean. This uptake depends strongly on mixing processes due to ocean eddies, which are especially important in regions of steep topography, leading to localised mixing hot spots. These ocean eddies have scales of 10-100km and therefore can not be resolved in current global climate models. This project will examine these mixing processes using a combination of observations and innovative modelling approaches. This knowledge will be used to improve the representation of eddy processes in state-of-the-art climate models, which will ultimately allow Australia to more effectively respond to the challenge of climate change.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150100937
Funder
Australian Research Council
Funding Amount
$373,484.00
Summary
Turbulent mixing in the deep Southern Ocean. Mixing in the Southern Ocean strongly affects the transport and storage of heat, carbon, and nutrients in the global ocean and hence climate itself. Yet processes generating mixing in the Southern Ocean remain poorly understood and inadequately represented in present ocean and climate models. This project aims to: understand mixing processes based on an innovative approach combining sparse observations and computer simulations; and to implement this u ....Turbulent mixing in the deep Southern Ocean. Mixing in the Southern Ocean strongly affects the transport and storage of heat, carbon, and nutrients in the global ocean and hence climate itself. Yet processes generating mixing in the Southern Ocean remain poorly understood and inadequately represented in present ocean and climate models. This project aims to: understand mixing processes based on an innovative approach combining sparse observations and computer simulations; and to implement this understanding into a state-of-the-art climate model to study mixing impacts on the ocean circulation and climate. This project aims to produce substantial improvements in climate models and allow Australia to predict and respond more effectively to climate change.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
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.
Large Scale Natural Convection Boundary Layers with Non-Boussinesq Effects. This proposal aims to understand and predict heat transfer by turbulent natural convection in two scenarios, firstly at very large environmental scales, such as occur on melting Antarctic ice sheets, and secondly convection involving very large temperature differences such as occur in solar thermal power plants and industrial processes. These natural convection flow regimes are incredibly difficult to investigate directl ....Large Scale Natural Convection Boundary Layers with Non-Boussinesq Effects. This proposal aims to understand and predict heat transfer by turbulent natural convection in two scenarios, firstly at very large environmental scales, such as occur on melting Antarctic ice sheets, and secondly convection involving very large temperature differences such as occur in solar thermal power plants and industrial processes. These natural convection flow regimes are incredibly difficult to investigate directly but by focusing on the fundamental dynamics of the turbulent flows using large scale numerical simulations and innovative experiments, the project is expected to develop better analytical and computational models which will underpin improvements in
global ocean models and improve energy efficiency.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
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
Dynamics of the Southern Ocean. The Southern Ocean is critically important to future global climate: it controls the natural global carbon cycle and the distribution of heat and nutrients around the ocean. This project will investigate key uncertainties in the Southern Ocean's response to climate change, and thereby improve our capacity to predict future climate.