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
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100089
Funder
Australian Research Council
Funding Amount
$490,000.00
Summary
Connecting big data with high performance computing for climate science. Connecting big data with high performance computing for climate science: The ARC Centre of Excellence for Climate System Science is a key user of the National Computational Infrastructure facility (NCI). This research requires massive data integrated with high performance computing in an operational facility. Fast disk capacity that is simultaneously connected to NCI long-term storage, cloud and high performance computing s ....Connecting big data with high performance computing for climate science. Connecting big data with high performance computing for climate science: The ARC Centre of Excellence for Climate System Science is a key user of the National Computational Infrastructure facility (NCI). This research requires massive data integrated with high performance computing in an operational facility. Fast disk capacity that is simultaneously connected to NCI long-term storage, cloud and high performance computing severely limits use of the NCI. To resolve this limitation, 1.7 petabytes of storage will be installed to transform the efficiency of the facility. This will enable more ambitious science to be undertaken. This investment will be used to launch a transformation from petascale to exascale problems and communicate the lessons learned to other research communities in Australia.Read moreRead less
Remote presence for guidance on physical tasks. This project aims to transform remote collaboration on physical tasks. Current systems for remote collaboration on physical tasks are not as effective as working face-to-face. This could be overcome by sharing non-verbal cues, designing systems to account for cultural issues, and using a new model of communication. This project will develop theories and interaction methods for remote guidance based on natural non-verbal communication cues and cultu ....Remote presence for guidance on physical tasks. This project aims to transform remote collaboration on physical tasks. Current systems for remote collaboration on physical tasks are not as effective as working face-to-face. This could be overcome by sharing non-verbal cues, designing systems to account for cultural issues, and using a new model of communication. This project will develop theories and interaction methods for remote guidance based on natural non-verbal communication cues and cultural issues. This project is expected to benefit industries with widely distributed multi-cultural workforces such as mining, defence and medicine.Read moreRead less
Calculus in the real world: transforming the way we teach mathematics in primary education. This project will demonstrate that, with the aid of computers, primary school students can solve university-level advanced mathematics problems. After studying with multi-media teaching materials and specialised software, the students will undertake a university engineering examination - and pass with flying colours!
Physics-aware machine learning for data-driven fire risk prediction. The 2019/20 Australian fire season was unprecedented in its extent, impact, and the response of fire agencies. In this project, we aim to answer the question: was the scale of these fires driven by known drivers of fire (drought, weather, fuels and ignitions), or were fundamentally new undescribed processes and phenomena involved? We will accomplish this by developing an innovative, physics-aware machine learning model of fire ....Physics-aware machine learning for data-driven fire risk prediction. The 2019/20 Australian fire season was unprecedented in its extent, impact, and the response of fire agencies. In this project, we aim to answer the question: was the scale of these fires driven by known drivers of fire (drought, weather, fuels and ignitions), or were fundamentally new undescribed processes and phenomena involved? We will accomplish this by developing an innovative, physics-aware machine learning model of fire risk and spread, trained and validated on a two-decade satellite fire record. The predictive ability of the model will be tested on the 2019/20 fire season to determine if novel drivers of fire can be identified, and the model itself will be operationalised into a novel short-to-mid term fire risk prediction tool. Read moreRead less