Predictability of the El Nino-Southern Oscillation. This project aims to improve understanding of the El Nino-Southern Oscillation (ENSO), the world’s largest source of climate variability. ENSO’s effects are so large that knowledge of its current phase and forecasts of its future phase underpin seasonal rainfall, temperature and tropical cyclone forecasts worldwide. In Australia, ENSO cycles cause drought and floods. Using a suite of empirical observations and numerical models to analyse ENSO e ....Predictability of the El Nino-Southern Oscillation. This project aims to improve understanding of the El Nino-Southern Oscillation (ENSO), the world’s largest source of climate variability. ENSO’s effects are so large that knowledge of its current phase and forecasts of its future phase underpin seasonal rainfall, temperature and tropical cyclone forecasts worldwide. In Australia, ENSO cycles cause drought and floods. Using a suite of empirical observations and numerical models to analyse ENSO event precursors, initiation and predictability, this project intends to enhance skill in inter-seasonal climate forecasting and help those sectors reliant on accurate prediction.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
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 stability and predictability of the Southern Hemisphere coupled ocean-atmosphere climate system. Our ability to adapt to and manage the effects of a changing climate is limited by our understanding of the ocean's response to changes in the atmospheric circulation. This project will establish the basis for the predictability of the climate system and provide state-of-the-art forecasts for climate adaptation.
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: DE130100663
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Understanding the termination of El Nino-Southern Oscillation events. Australia's climate is extreme, with significant drought and flooding events driven by cycles of the El Nino-Southern Oscillation (ENSO). This study will improve our understanding of the termination of ENSO events and lead to better inter-seasonal climate forecasting, aiding the sectors reliant on accurate climate prediction.
Remote forcing of Pacific Ocean variability and impacts on global climate. Variability in the Pacific Ocean has a profound impact on global climate. Recent unprecedented decadal variability in the Pacific has been linked to global temperature trends and extremes, yet little is known about what drives this variability or its impact on regional climate. This project will combine observations, advanced coupled climate models and ocean-atmosphere dynamical theory to quantify remote drivers of Pacifi ....Remote forcing of Pacific Ocean variability and impacts on global climate. Variability in the Pacific Ocean has a profound impact on global climate. Recent unprecedented decadal variability in the Pacific has been linked to global temperature trends and extremes, yet little is known about what drives this variability or its impact on regional climate. This project will combine observations, advanced coupled climate models and ocean-atmosphere dynamical theory to quantify remote drivers of Pacific Ocean variability on interannual-decadal time-scales. This project aims to enhance our understanding of the modes of variability operating in this region and their impact on global and Australian climate. This will have significant benefits for the many sectors of society reliant on interseasonal-decadal climate prediction.Read moreRead less