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Scheme : Discovery Projects
Australian State/Territory : TAS
Australian State/Territory : NSW
Research Topic : MATHEMATICAL MODELS
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP240100389

    Funder
    Australian Research Council
    Funding Amount
    $511,100.00
    Summary
    Southern Ocean aerosols: sources, sinks and impact on cloud properties. This project aims to provide fundamental process-level understanding of atmospheric aerosol processes over the Southern Ocean, a region that has a profound influence on the Australian and global climate and where climate models perform poorly. Comprehensive observations during 3 Southern Ocean voyages and land-based measurements will enhance our knowledge of aerosols and cloud formation in that region and provide much-needed .... Southern Ocean aerosols: sources, sinks and impact on cloud properties. This project aims to provide fundamental process-level understanding of atmospheric aerosol processes over the Southern Ocean, a region that has a profound influence on the Australian and global climate and where climate models perform poorly. Comprehensive observations during 3 Southern Ocean voyages and land-based measurements will enhance our knowledge of aerosols and cloud formation in that region and provide much-needed data for improving global climate models. Expected outcomes include more accurate seasonal and latitudinal representations of Southern Ocean aerosol populations, properties and sources. The main benefit includes improvements in weather forecasting and future climate projection for Australia and the Southern Hemisphere.
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    Funded Activity

    Discovery Projects - Grant ID: DP180102357

    Funder
    Australian Research Council
    Funding Amount
    $385,650.00
    Summary
    The Southern Ocean's response to abrupt climate change. This project aims to determine how the Southern Ocean responds to abrupt climate change, through geochemical analysis of marine sediment cores. Rapid warming events of the last ice age provide an analogue to human-caused warming. Experiments using ocean climate models will evaluate the drivers and consequences of the biogeochemical response of different sectors and zones of the Southern Ocean. The intended outcome is a better understanding .... The Southern Ocean's response to abrupt climate change. This project aims to determine how the Southern Ocean responds to abrupt climate change, through geochemical analysis of marine sediment cores. Rapid warming events of the last ice age provide an analogue to human-caused warming. Experiments using ocean climate models will evaluate the drivers and consequences of the biogeochemical response of different sectors and zones of the Southern Ocean. The intended outcome is a better understanding of how and why climate change impacts ocean productivity in the ecologically significant Southern Ocean. This will lead to better representations of carbon feedbacks in climate models and more robust projections of future climate change.
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    Funded Activity

    Discovery Projects - Grant ID: DP180102215

    Funder
    Australian Research Council
    Funding Amount
    $338,178.00
    Summary
    An efficient approach to the computation of bacterial evolutionary distance. This project aims to apply advanced mathematical tools to improve our understanding of bacterial evolution. Bacteria account for as much total Earth biomass as all plant species put together, and have an unparalleled ability to evolve quickly and adapt to changing environments. Unfortunately, the existing mathematical models used to model bacterial evolution are generally computationally intractable. This project will r .... An efficient approach to the computation of bacterial evolutionary distance. This project aims to apply advanced mathematical tools to improve our understanding of bacterial evolution. Bacteria account for as much total Earth biomass as all plant species put together, and have an unparalleled ability to evolve quickly and adapt to changing environments. Unfortunately, the existing mathematical models used to model bacterial evolution are generally computationally intractable. This project will rectify this situation by using representation theory to transform combinatorial group theory into linear algebra, allowing for the application of advanced methods of numeric approximation. This will provide a better understanding of how bacteria evolve and improve our ability to manage their impact.
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