Eddy-resolving global ocean-sea ice modelling. Eddy-resolving global ocean-sea ice modelling. This project aims to develop a world-class global ocean-sea ice model framework through a nationwide consortium. The resulting high resolution models are expected to provide the foundation for the next decade of Australian ocean-sea ice modelling capacity. This research should lead to improved ocean and sea ice prediction, ocean reanalyses, and climate projections, enhancing Australia's capacity to pred ....Eddy-resolving global ocean-sea ice modelling. Eddy-resolving global ocean-sea ice modelling. This project aims to develop a world-class global ocean-sea ice model framework through a nationwide consortium. The resulting high resolution models are expected to provide the foundation for the next decade of Australian ocean-sea ice modelling capacity. This research should lead to improved ocean and sea ice prediction, ocean reanalyses, and climate projections, enhancing Australia's capacity to predict the ocean state on timescales of days to decades. This is expected to yield efficiencies in shipping, marine search and rescue and naval operations, and increase the accuracy of projected future changes in climate, sea level, ocean ecosystems and the cryosphere.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
Improving water quality modelling by better understanding solute transport. Poor stream water quality is a critical problem in Australia and globally. Stream water quality depends directly on pathways and time taken for water to transport pollutants through catchments. Predicting these pathways is highly challenging and currently requires specialised data. This project aims to better model the movement of water from rainfall to streams, enable greatly improved use of water quality data routinely ....Improving water quality modelling by better understanding solute transport. Poor stream water quality is a critical problem in Australia and globally. Stream water quality depends directly on pathways and time taken for water to transport pollutants through catchments. Predicting these pathways is highly challenging and currently requires specialised data. This project aims to better model the movement of water from rainfall to streams, enable greatly improved use of water quality data routinely collected in Australia's catchments and thereby better predict water quality behaviour. Proposed field studies aim to support this development. The outcomes sought are improved planning and management of water quality in our rivers, lakes and estuaries, improved health of these water bodies and improved water supplies.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0989726
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
Nanophotonic and Microfluidic Integration Facility: a Platform for Optofluidics. Emerging 'lab on a chip' technology promises to provide low-cost, mass produced platforms for monitoring and processing of environmental and biological samples (eg. water quality and early cancer detection). These essentially fluidic platforms will require integrated photonic components to provide the vast array of optical interrogation options that are used in all modern laboratories. The proposed facility will e ....Nanophotonic and Microfluidic Integration Facility: a Platform for Optofluidics. Emerging 'lab on a chip' technology promises to provide low-cost, mass produced platforms for monitoring and processing of environmental and biological samples (eg. water quality and early cancer detection). These essentially fluidic platforms will require integrated photonic components to provide the vast array of optical interrogation options that are used in all modern laboratories. The proposed facility will enable Australian researchers to effectively integrate nano-photonic structures with engineered micro-fluidics into a single optofluidic chip. This will bring researchers in photonics and microfluidics together and will provide platforms supporting support biomedical and environmental and even fundamental physics projects.Read moreRead less
Personalised Learning for Per-pixel Prediction Tasks in Image Analysis. AI-assisted image segmentation & synthesis are very challenging and usually require pixel-level labelling (per-pixel prediction) that is costly to obtain. The small amount of labels makes it difficult to train an “optimal” unified model for varied data as conventional methods did. This project aims to develop a new paradigm “personalised learning” to tackle this problem, where each image could be dealt with a model tailored ....Personalised Learning for Per-pixel Prediction Tasks in Image Analysis. AI-assisted image segmentation & synthesis are very challenging and usually require pixel-level labelling (per-pixel prediction) that is costly to obtain. The small amount of labels makes it difficult to train an “optimal” unified model for varied data as conventional methods did. This project aims to develop a new paradigm “personalised learning” to tackle this problem, where each image could be dealt with a model tailored to individual characteristics. The success of this project could significantly advance the fundamental research in image analysis. Expected outcomes include new knowledge and algorithms for image analysis, which could benefit fields like biology and archaeology, where labeled images are hard to attain and scarce.Read moreRead less
Smart management of disinfectant in chloraminated water-supply systems. Smart management of disinfectant in chloraminated water-supply systems. This project aims to develop an adaptive, real-time control system for managing disinfectant residuals in chloraminated water supply systems. While chloramine delivers microbiologically safe drinking water in warmer climates and in long distribution systems, it is largely unpredictable, costs water utilities millions of dollars annually, and has uncertai ....Smart management of disinfectant in chloraminated water-supply systems. Smart management of disinfectant in chloraminated water-supply systems. This project aims to develop an adaptive, real-time control system for managing disinfectant residuals in chloraminated water supply systems. While chloramine delivers microbiologically safe drinking water in warmer climates and in long distribution systems, it is largely unpredictable, costs water utilities millions of dollars annually, and has uncertain benefits. This project’s control system will be guided by quantitative models formulated from multi-pronged, fundamental experiments. The project will quantify microbial chloramine decay and determine mechanisms to increase predictability. The project will develop and demonstrate a real-time control technology which delivered microbiologically safe, cost-efficient drinking water to people in warmer climates, despite warming climate and increasing population.Read moreRead less
Special Research Initiatives - Grant ID: SR0354622
Funder
Australian Research Council
Funding Amount
$20,000.00
Summary
Genes and Environment in Development. Interactions between the early environment and the genetic regulatory program of the early embryo have major consequences for the development of individuals. The aim of this Network is to harness the resources of leading researchers from the previously distinct disciplines of developmental biology and developmental physiology to better understand developmental regulatory networks and how environmental factors impinge on them. The formation of such a Network ....Genes and Environment in Development. Interactions between the early environment and the genetic regulatory program of the early embryo have major consequences for the development of individuals. The aim of this Network is to harness the resources of leading researchers from the previously distinct disciplines of developmental biology and developmental physiology to better understand developmental regulatory networks and how environmental factors impinge on them. The formation of such a Network is unique, timely and strategic in that it will generate new insights into the mechanisms by which events in early life determine the risk of adverse outcomes in perinatal and adult life.Read moreRead less
ARC/NHMRC Research Network in Genes and Environment in Development. Interactions between the early environment and the genetic regulatory program of the developing organism have major consequences for the lifetime health of individuals. The primary objective of the Network in Genes and Environment in Development is to harness the resources of leading researchers from the currently distinct disciplines of developmental biology and developmental physiology to define key developmental regulatory ne ....ARC/NHMRC Research Network in Genes and Environment in Development. Interactions between the early environment and the genetic regulatory program of the developing organism have major consequences for the lifetime health of individuals. The primary objective of the Network in Genes and Environment in Development is to harness the resources of leading researchers from the currently distinct disciplines of developmental biology and developmental physiology to define key developmental regulatory networks and to address how environmental factors impinge on these regulatory networks. The formation of this National Research Network is unique, timely and strategic. It will generate new insights into the mechanisms by which events in early life determine the risk of adverse outcomes in perinatal and adult life.Read moreRead less
The recovery of seagrass beds: the role of catchments and options for management responses. Seagrass beds once dominated tidal flats but are disappearing at an increasing rate due to human actions, both in Australia and around the world. This project will develop an understanding of the processes that cause these losses, the factors that prevent seagrass-bed re-establishment, and provide a framework for evaluating alternative management options.