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
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
The fluid dynamics of intrusions. This project aims to investigate intrusions, the primarily horizontal flows of well-mixed fluid into density-stratified surroundings. Such flows are fundamental in the atmosphere and oceans, but they are little understood because they are controlled by strong feedback between the intrusion and internal waves generated in the stratified ambient. Existing studies rely on computationally intensive simulations, analogue experiments or ad-hoc models of limited appl ....The fluid dynamics of intrusions. This project aims to investigate intrusions, the primarily horizontal flows of well-mixed fluid into density-stratified surroundings. Such flows are fundamental in the atmosphere and oceans, but they are little understood because they are controlled by strong feedback between the intrusion and internal waves generated in the stratified ambient. Existing studies rely on computationally intensive simulations, analogue experiments or ad-hoc models of limited applicability. This project expects to develop and validate a new, broadly applicable and rigorous mathematical model for such flows. Expected benefits include improved volcanic ash dispersal modelling and improved understanding of climate-critical oceanic and atmospheric flows.Read moreRead less
Beyond the linear dynamics of the El Nino Southern Oscillation. This project will pioneer new climate models of the El Nino natural mode of climate variability, which will ultimately enable us to better predict seasonal weather fluctuation for Australia and improve our understanding of climate change in the tropical regions.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE200100040
Funder
Australian Research Council
Funding Amount
$580,000.00
Summary
Fast Disk Storage to Enable Big Data Science in Weather, Oceans and Climate. This project aims to expand Australia's capacity to do high-impact innovative climate, weather and oceanographic science. Science of this kind relies on massive data coupled to computationally highly intensive and complex analysis. Therefore, the project will purchase fast disk storage and install it at the National Computing Infrastructure. It is anticipated that the project will benefit the nation through better under ....Fast Disk Storage to Enable Big Data Science in Weather, Oceans and Climate. This project aims to expand Australia's capacity to do high-impact innovative climate, weather and oceanographic science. Science of this kind relies on massive data coupled to computationally highly intensive and complex analysis. Therefore, the project will purchase fast disk storage and install it at the National Computing Infrastructure. It is anticipated that the project will benefit the nation through better understanding of the climate system, including extremes; improvements in our capacity to make predictions; and through applications of the science to forecasting, the management of resources among other many other things.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.
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
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100067
Funder
Australian Research Council
Funding Amount
$210,000.00
Summary
Wind profiler network for planetary boundary layer research. Understanding winds in the lower atmosphere is of great fundamental and practical importance. This new wind monitoring network will help Australian scientists to better predict propagation of tropical cyclones, to improve the efficiency of wind energy production, and to better understand atmosphere-ocean interactions affecting weather and climate.
ARC Centres of Excellence for Climate System Science. Our capacity to assess the threat of climate change is undermined by an unacceptable level of uncertainty in the understanding and modelling of regional climates. The Centre will undertake world-class research targeting identified weaknesses in the physical, chemical and biological components of the climate system. We will engage and nurture graduate students and postdoctoral follows through a program of graduate training and mentoring to per ....ARC Centres of Excellence for Climate System Science. Our capacity to assess the threat of climate change is undermined by an unacceptable level of uncertainty in the understanding and modelling of regional climates. The Centre will undertake world-class research targeting identified weaknesses in the physical, chemical and biological components of the climate system. We will engage and nurture graduate students and postdoctoral follows through a program of graduate training and mentoring to permanently transform our understanding of climate systems science particularly for the Australian region. The key outcome will be a dramatic enhancement in national capacity to understand and project the scale of future regional climate change.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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