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
A Laboratory Study of Ocean-Atmosphere Coupling in the Antarctic Circumpolar Wave. A laboratory model of the southern hemisphere mid-latitude ocean-atmosphere system will be used to investigate the dynamics of ocean-atmosphere coupling contributing to the Antarctic Circumpolar Wave (ACW). The ACW is a recently discovered multi-year climate oscillation which has considerable effect on Australian and New Zealand precipitation. This will be the first laboratory model to include global scale ocean-a ....A Laboratory Study of Ocean-Atmosphere Coupling in the Antarctic Circumpolar Wave. A laboratory model of the southern hemisphere mid-latitude ocean-atmosphere system will be used to investigate the dynamics of ocean-atmosphere coupling contributing to the Antarctic Circumpolar Wave (ACW). The ACW is a recently discovered multi-year climate oscillation which has considerable effect on Australian and New Zealand precipitation. This will be the first laboratory model to include global scale ocean-atmosphere processes, and will be used to test proposed mechanisms for the driving of the climate oscillation that is attributed to the ACW. The project will provide knowledge required for improved computational modelling and climate predictions.
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Nonhydrostatic waves and instabilities in rotating fluids. This project addresses a fundamental gap in our understanding of the ocean circulation. The benefits of the program will be to improve the way we model and predict the ocean circulation and the response of the ocean to climate change. The project will thereby assist National Research Priorities on global change and link with a major new ANU Marine Science Strategic Initiative.
Mixing and dissipation in the ocean: Processes for the next generation of climate models. The circulation of the oceans is a crucial factor in governing the variability and long-term change in the earth's climate. A major weakness in current ocean and climate models is a lack of knowledge of energy flow within the ocean. This project will examine the nature and role of eddy interactions with the ocean boundaries, which is a critical question for future development of more accurate high-resolutio ....Mixing and dissipation in the ocean: Processes for the next generation of climate models. The circulation of the oceans is a crucial factor in governing the variability and long-term change in the earth's climate. A major weakness in current ocean and climate models is a lack of knowledge of energy flow within the ocean. This project will examine the nature and role of eddy interactions with the ocean boundaries, which is a critical question for future development of more accurate high-resolution ocean models and improved climate predictions.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: 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
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