Quantifying vertical and lateral ocean transport due to fronts and eddies. This project aims to quantify the intensity and location of ocean currents at unprecedented fine spatial scales by using data from a new generation of high-resolution satellites. These fine scales dominate the lateral and vertical transport of ocean-borne material, including heat, larvae and pollutants like oil and plastics, yet are poorly understood. New algorithms for processing satellite data will be developed and test ....Quantifying vertical and lateral ocean transport due to fronts and eddies. This project aims to quantify the intensity and location of ocean currents at unprecedented fine spatial scales by using data from a new generation of high-resolution satellites. These fine scales dominate the lateral and vertical transport of ocean-borne material, including heat, larvae and pollutants like oil and plastics, yet are poorly understood. New algorithms for processing satellite data will be developed and tested using in situ data in the significant North West Shelf region. Expected outcomes will be novel methods to identify ocean currents and a paradigm shift in quantification of fine-scale ocean dynamics. This will benefit operational oceanography in the areas of maritime safety, defence, fisheries and the offshore industry.Read moreRead less
The fluid dynamics of intrusions. This project aims to investigate intrusions, the primarily horizontal flows of well-mixed fluid into density-stratified surroundings. Such flows are fundamental in the atmosphere and oceans, but they are little understood because they are controlled by strong feedback between the intrusion and internal waves generated in the stratified ambient. Existing studies rely on computationally intensive simulations, analogue experiments or ad-hoc models of limited appl ....The fluid dynamics of intrusions. This project aims to investigate intrusions, the primarily horizontal flows of well-mixed fluid into density-stratified surroundings. Such flows are fundamental in the atmosphere and oceans, but they are little understood because they are controlled by strong feedback between the intrusion and internal waves generated in the stratified ambient. Existing studies rely on computationally intensive simulations, analogue experiments or ad-hoc models of limited applicability. This project expects to develop and validate a new, broadly applicable and rigorous mathematical model for such flows. Expected benefits include improved volcanic ash dispersal modelling and improved understanding of climate-critical oceanic and atmospheric flows.Read moreRead less
An end-to-end ocean weather information system for the blue economy. This project aims to develop a state-of-the-art ocean weather information system for marine industries. The project will design an end-to-end solution that integrates ocean observations, operational forecasting, and data delivery. By addressing industry needs, this project will provide a rapid pathway from research to economic benefit.
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.
The role of internal wave-driven near-bed turbulent dynamics in coastal ocean sediment mobilisation. This project will determine the process of internal wave-driven sediment resuspension and transport in the coastal ocean. This will be achieved by using a combination of field observations and numerical modelling, at two diverse but representative Australian coastal regions where nonlinear internal waves dominate the dynamics. The study has significant application to the offshore oil and gas indu ....The role of internal wave-driven near-bed turbulent dynamics in coastal ocean sediment mobilisation. This project will determine the process of internal wave-driven sediment resuspension and transport in the coastal ocean. This will be achieved by using a combination of field observations and numerical modelling, at two diverse but representative Australian coastal regions where nonlinear internal waves dominate the dynamics. The study has significant application to the offshore oil and gas industry engineering design and operations as well as to environmental management of the coastal ocean ecosystems. This project will achieve a process understanding and create predictive tools describing sediment resuspension and transport for use by industry and marine managers.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