Remote sensing techniques to infer fine-scale ocean surface currents. This project aims to develop new technology for measuring ocean surface currents at unprecedented fine resolution using aerial imagery and theory that describes how surface waves are refracted by currents. The project will generate new knowledge on ocean surface current processes and variability across a range of scales, and critically, improve our understanding of surface current uncertainty through application of advanced st ....Remote sensing techniques to infer fine-scale ocean surface currents. This project aims to develop new technology for measuring ocean surface currents at unprecedented fine resolution using aerial imagery and theory that describes how surface waves are refracted by currents. The project will generate new knowledge on ocean surface current processes and variability across a range of scales, and critically, improve our understanding of surface current uncertainty through application of advanced statistical analysis techniques. The outcomes of this project will deliver Australian capability to leverage the enhanced spatial and temporal resolution of next generation Earth observations to directly benefit search and rescue, offshore industry operations, defence, and pollution response in Australian waters.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: 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 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
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