Unraveling ocean mixing and air-sea forcing along the Indo-Pacific exchange. This project aims to collect unprecedented observations and develop high resolution model simulations to examine changes in the Indonesian Throughflow (ITF) north of Australia. This project expects to develop new knowledge of ocean-atmosphere interactions along the path of the ITF from the Pacific to the Indian Ocean, which are the powerhouse that drives changes in winds and rainfall around Australia and the entire Indo ....Unraveling ocean mixing and air-sea forcing along the Indo-Pacific exchange. This project aims to collect unprecedented observations and develop high resolution model simulations to examine changes in the Indonesian Throughflow (ITF) north of Australia. This project expects to develop new knowledge of ocean-atmosphere interactions along the path of the ITF from the Pacific to the Indian Ocean, which are the powerhouse that drives changes in winds and rainfall around Australia and the entire Indo-Pacific region. Expected outcomes include a 1000-fold increase in the observations of mixing in the Indonesian seas and new understanding of the ocean-atmosphere processes that control water property change along the ITF. This should lead to strong improvement in the skill of climate forecast models in the Australian region.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
Building Australia's next-generation ocean-sea ice model. Ocean and sea ice models are used for predicting future ocean and climate states, and for climate process research. This project aims to bring the next generation of ocean-sea ice models to Australia and configure the models for our local priorities. The ultimate goal is to create a new coupled ocean-sea ice model for Australia that includes surface waves and biogeochemistry. The model will be optimised and evaluated on Australian facilit ....Building Australia's next-generation ocean-sea ice model. Ocean and sea ice models are used for predicting future ocean and climate states, and for climate process research. This project aims to bring the next generation of ocean-sea ice models to Australia and configure the models for our local priorities. The ultimate goal is to create a new coupled ocean-sea ice model for Australia that includes surface waves and biogeochemistry. The model will be optimised and evaluated on Australian facilities, and released for community use. These developments underpin future ocean state forecasts, sea ice forecasts, wave forecasts, decadal climate prediction and climate process studies. The project will benefit search and rescue, Defence and shipping operations, and will enhance future climate projections.Read moreRead less
ARC Centre of Excellence for Climate Extremes. This Centre aims to transform understanding of past and present climate extremes and revolutionise Australia’s capability to predict them into the future. Climate extremes cost Australia up to $4 billion a year and will intensify over coming decades. This Centre’s blue-sky research will discover processes that explain the behaviour of present and future climate extremes. It will use its researchers, data, modelling, collaboration, graduate programme ....ARC Centre of Excellence for Climate Extremes. This Centre aims to transform understanding of past and present climate extremes and revolutionise Australia’s capability to predict them into the future. Climate extremes cost Australia up to $4 billion a year and will intensify over coming decades. This Centre’s blue-sky research will discover processes that explain the behaviour of present and future climate extremes. It will use its researchers, data, modelling, collaboration, graduate programme and early career researcher mentoring to transform Australia’s capacity to predict climate extremes. This research is expected to make Australia more resilient to climate extremes and minimise risks from climate extremes to the Australian environment, society and economy.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
Wave-ice models of Antarctic sea ice. This project aims to design and execute autonomous observations above (unmanned aerial vehicles), below (autonomous underwater vehicles) and within (wave-ice interaction buoys) sea ice on international Antarctic research voyages. The project intends to advance the parameterisation of wave-ice interaction, critical to the seasonal advance and retreat of Antarctic sea ice, in climate models that do not reproduce the observed trends in regional Antarctic sea ic ....Wave-ice models of Antarctic sea ice. This project aims to design and execute autonomous observations above (unmanned aerial vehicles), below (autonomous underwater vehicles) and within (wave-ice interaction buoys) sea ice on international Antarctic research voyages. The project intends to advance the parameterisation of wave-ice interaction, critical to the seasonal advance and retreat of Antarctic sea ice, in climate models that do not reproduce the observed trends in regional Antarctic sea ice extent. The project expects to improve prediction of sea ice’s responses and feedbacks to changes in ocean and atmospheric forcing around the Southern Ocean. This work should place Australia at the forefront of polar climate research. Greater accuracy in climate projections will help to optimise the balance between human populations, economic growth and environmental protection in an uncertain future.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
Ocean heat content change and its impact on sea level. This project aims to improve projections of possible sea level changes. Sea level rise is among the most significant potential impacts of transient climate change around the world. Poor understanding of the way in which heat is absorbed at the sea surface and distributed by ocean circulation is a leading source of uncertainty in projections of global surface temperature and regional sea level rise by the end of this century. This project aim ....Ocean heat content change and its impact on sea level. This project aims to improve projections of possible sea level changes. Sea level rise is among the most significant potential impacts of transient climate change around the world. Poor understanding of the way in which heat is absorbed at the sea surface and distributed by ocean circulation is a leading source of uncertainty in projections of global surface temperature and regional sea level rise by the end of this century. This project aims to apply novel observational methods, complimented by numerical modelling, to quantify the drivers of recent change. This project expects to transform our ability to predict how ocean temperature and sea level will change in the future.Read moreRead less
Improving the credibility of regional sea level rise projections. Anthropogenic sea level rise is expected to inundate low-lying islands and coastlines around the world, with multiple model projections suggesting that changes in wind patterns will lead to larger than average sea level rise along Australia’s east coast and in neighbouring small island nations. Confidence in projections of this spatial sea level rise variability is low, however, due to a strong mismatch between patterns of observe ....Improving the credibility of regional sea level rise projections. Anthropogenic sea level rise is expected to inundate low-lying islands and coastlines around the world, with multiple model projections suggesting that changes in wind patterns will lead to larger than average sea level rise along Australia’s east coast and in neighbouring small island nations. Confidence in projections of this spatial sea level rise variability is low, however, due to a strong mismatch between patterns of observed and model-projected sea level rise in recent decades. This work will use a newly developed climate model hierarchy and innovative experimental design to determine the cause of this discrepancy and will produce more credible regional sea level rise projections by clarifying and reducing projection uncertainty.
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Surf sounds: predicting the valuable data of bubble sound emissions. This project aims to predict natural bubble sounds. These audio signals contain data on the bubble size, which controls oxygen absorption, and thus product quality, in minerals, food, pharmaceuticals and water industries. Bubbles also control ocean carbon-dioxide absorption. Such gas absorption is almost impossible to monitor with laboratory sensors. In the ocean, sensors are quickly blocked by algae. In industry, liquids are o ....Surf sounds: predicting the valuable data of bubble sound emissions. This project aims to predict natural bubble sounds. These audio signals contain data on the bubble size, which controls oxygen absorption, and thus product quality, in minerals, food, pharmaceuticals and water industries. Bubbles also control ocean carbon-dioxide absorption. Such gas absorption is almost impossible to monitor with laboratory sensors. In the ocean, sensors are quickly blocked by algae. In industry, liquids are opaque or too hot. However, the easily-measured sounds get through. Experiments and computer simulations would allow the sound volume as well as frequencies emitted by bubbles to be predicted. This would enable valuable data to be interpreted from complex sounds, transforming industrial and environmental measurements.Read moreRead less