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Aerosol glassy states promote global warming, airborne toxins and pathogens. This project will improve our understanding of the role played by airborne particles in global climate, pollution and the transmission of influenza, corona virus and the common cold. It will do so by revealing the wider importance of "glassy states" of matter recently revealed in atmospheric aerosols. Glassy states are highly unpredictable quasi solids that abruptly form, interrupting the transition of a liquid to a sol ....Aerosol glassy states promote global warming, airborne toxins and pathogens. This project will improve our understanding of the role played by airborne particles in global climate, pollution and the transmission of influenza, corona virus and the common cold. It will do so by revealing the wider importance of "glassy states" of matter recently revealed in atmospheric aerosols. Glassy states are highly unpredictable quasi solids that abruptly form, interrupting the transition of a liquid to a solid. This interruption invalidates equilibrium assumptions of models of droplets as cloud nuclei and infection vectors. We will develop and validate a numerical tool for predicting glassy state formation and its impact in broad classes of aerosol that include particles critical to cloud formation and infection transmission.Read moreRead less
Spatio-Temporal Statistics and its Application to Remote Sensing. By their very nature, environmental processes involve strong spatial and temporal variability. Inferring cause-effect relationships requires the incorporation of spatial and temporal dependence in the statistical models. The aims of this project are to develop mass-balanced hierarchical spatio-temporal statistical models, new loss functions that are relevant to multivariate processes, and optimal estimators obtained from the hiera ....Spatio-Temporal Statistics and its Application to Remote Sensing. By their very nature, environmental processes involve strong spatial and temporal variability. Inferring cause-effect relationships requires the incorporation of spatial and temporal dependence in the statistical models. The aims of this project are to develop mass-balanced hierarchical spatio-temporal statistical models, new loss functions that are relevant to multivariate processes, and optimal estimators obtained from the hierarchical model's predictive distribution. These methodologies are intended to be applied to the estimation of near-surface fluxes of atmospheric carbon dioxide, using massive remote sensing datasets from satellites and other data sources.Read moreRead less
Maternal contributions to offspring development in a changing climate. This project aims to investigate how maternal contributions to offspring developmental environments affect metabolism, learning, growth, and survival of offspring. This project expects to provide mechanistic and evolutionary insights into how changes in metabolic function, brought about by changes in the developmental environment, contribute to variation in learning and life-history. Expected outcomes include an in-depth unde ....Maternal contributions to offspring development in a changing climate. This project aims to investigate how maternal contributions to offspring developmental environments affect metabolism, learning, growth, and survival of offspring. This project expects to provide mechanistic and evolutionary insights into how changes in metabolic function, brought about by changes in the developmental environment, contribute to variation in learning and life-history. Expected outcomes include an in-depth understanding of how changes in maternal investment and hormones impact offspring developing in different thermal environments and how such changes are mediated by compromised physiological function – providing significant benefits in understanding population persistence in Australia's rapidly changing climate.Read moreRead less
Uncertainties in coherent transport of particles and intrinsic properties. This Project aims to quantify the uncertainty of a model output in terms of uncertainties in modelling assumptions, by developing new mathematical techniques and applying them to real-world data. This will be in the context of assessing the accuracy of tracking coherently moving structures (e.g., hurricanes, oceanic biodiversity hotspots, pollutant patches, insect swarms) from experimental/observational data sets. Novel, ....Uncertainties in coherent transport of particles and intrinsic properties. This Project aims to quantify the uncertainty of a model output in terms of uncertainties in modelling assumptions, by developing new mathematical techniques and applying them to real-world data. This will be in the context of assessing the accuracy of tracking coherently moving structures (e.g., hurricanes, oceanic biodiversity hotspots, pollutant patches, insect swarms) from experimental/observational data sets. Novel, data-tested, mathematical methods for uncertainty quantification of coherent structures will be developed as Project outcomes. Project benefits include new insights into protecting the environment, improved uncertainty quantification in climate modelling, and the generation of interdisciplinary knowledge and training.Read moreRead less
Understanding interglacial diversity. This project intends to improve our understanding of interglacial processes. Interglacials, the relatively brief warm intervals of Quaternary ice-age cycles, have varied significantly over the last 800 000 years in terms of their duration, timing, intensity and complexity. The reason for such diversity has eluded palaeoclimatologists for decades. This is because of the difficulty of dating marine and ice records, which best preserve interglacial histories. T ....Understanding interglacial diversity. This project intends to improve our understanding of interglacial processes. Interglacials, the relatively brief warm intervals of Quaternary ice-age cycles, have varied significantly over the last 800 000 years in terms of their duration, timing, intensity and complexity. The reason for such diversity has eluded palaeoclimatologists for decades. This is because of the difficulty of dating marine and ice records, which best preserve interglacial histories. The projects plans to compile precisely dated time series of past interglacials that can be linked directly to these records, allowing robust comparisons between interglacial properties and changes in Earth's astronomical parameters. This would advance palaeoclimate theory and provide a new perspective on the future evolution of the climate system.Read moreRead less
The Total Column Carbon Observing Network in the Southern Hemisphere: constraining our understanding of the carbon cycle and climate. The global carbon cycle and the distribution, sources and sinks of greenhouse gases such as carbon dioxide and methane are crucial drivers of climate change. The Total Carbon Column Observing Network (TCCON) measures the amounts of greenhouse and other trace gases in the atmosphere by solar remote sensing from the ground with unprecedented accuracy and precision. ....The Total Column Carbon Observing Network in the Southern Hemisphere: constraining our understanding of the carbon cycle and climate. The global carbon cycle and the distribution, sources and sinks of greenhouse gases such as carbon dioxide and methane are crucial drivers of climate change. The Total Carbon Column Observing Network (TCCON) measures the amounts of greenhouse and other trace gases in the atmosphere by solar remote sensing from the ground with unprecedented accuracy and precision. TCCON data are the "gold standard" for total column measurements and an essential part of greenhouse gas science. They are used to improve knowledge of the carbon cycle and future climate change, both directly and by validating global-scale satellite measurements. This project will continue to expand TCCON in the southern hemisphere and the enhanced scientific understanding it will provide.Read moreRead less
Developing and testing a new dating tool for Quaternary science. This project plans to use cutting-edge instrumentation to develop a novel method for dating geological materials formed in a critical time window for which no dating technique currently exists. The last million years of Earth’s history has seen dramatic changes in global climate and environment, with catastrophic volcanic eruptions and numerous other natural processes shaping landforms and ecosystems. A major challenge for studying ....Developing and testing a new dating tool for Quaternary science. This project plans to use cutting-edge instrumentation to develop a novel method for dating geological materials formed in a critical time window for which no dating technique currently exists. The last million years of Earth’s history has seen dramatic changes in global climate and environment, with catastrophic volcanic eruptions and numerous other natural processes shaping landforms and ecosystems. A major challenge for studying these phenomena and their impacts is the dating of geological archives in the time window between 50 000 and 1 000 000 years. This project aims to develop a method for dating young volcanic rocks that can close this critical gap. The result would be a new dating tool with broad implications for the Quaternary sciences globally, including paleoclimate and paleoenvironmental reconstructions, natural hazards assessment, hominin evolution and archaeology.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE150100011
Funder
Australian Research Council
Funding Amount
$346,439.00
Summary
Spinning disk confocal microscope with dual stages. Spinning disk confocal microscope with dual stages: This custom-built spinning disk confocal microscope with rotational stages will constitute an internationally unique platform. The system has the capability of rapidly monitoring cells in growing biological specimens under changing environments. It offers an integrated platform for multiple imaging strategies, including confocal and Total Internal Reflection Fluorescence (TIRF) microscopy. The ....Spinning disk confocal microscope with dual stages. Spinning disk confocal microscope with dual stages: This custom-built spinning disk confocal microscope with rotational stages will constitute an internationally unique platform. The system has the capability of rapidly monitoring cells in growing biological specimens under changing environments. It offers an integrated platform for multiple imaging strategies, including confocal and Total Internal Reflection Fluorescence (TIRF) microscopy. The system will reside in core facilities with open access to a broad research community. The system may be used to monitor a wide variety of cells and molecules, and will offer capabilities that are of importance to understand cell trafficking, disease and signalling, plant biomass production, and climate change.Read moreRead less
Testing evolutionary predictions about multiple unrelated traits under changed environmental conditions using visual ecology. An understanding of evolution is vital in managing the effects of environmental change. Senses determine success in survival/reproduction and environmental change affects what is sensed. This project will make and test explicit predictions about evolution under changed conditions using visual physiology, environmental parameters and evolution experiments.
Building a more sustainable city: official and everyday practices of regeneration. By exploring urban regeneration on a city-wide scale, this project will investigate how the urban fabric is changed, by both official large-scale regeneration projects and the everyday practices of households. The research will address critical gaps in our understandings of how cities can be regenerated and how to mobilise transitions to urban sustainability.