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Socio-Economic Objective : Earth sciences
Australian State/Territory : NSW
Research Topic : MATHEMATICAL MODELS
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Atmospheric Sciences Not Elsewhere Classified (2)
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  • Funded Activity

    Discovery Projects - Grant ID: DP1096611

    Funder
    Australian Research Council
    Funding Amount
    $400,000.00
    Summary
    Stochastic methods in mathematical geophysical fluid dynamics. We will develop analytical and numerical methods for long-term weather forecasting and climate modelling. The project deals with the mathematical aspects and fundamental mechanisms underpinning numerical climate forecasting. We will develop new methodology for accurate modelling of the important and dominant slow global processes without explicitly resolving the precise detail of the weather of each day at all scales. Using sophisti .... Stochastic methods in mathematical geophysical fluid dynamics. We will develop analytical and numerical methods for long-term weather forecasting and climate modelling. The project deals with the mathematical aspects and fundamental mechanisms underpinning numerical climate forecasting. We will develop new methodology for accurate modelling of the important and dominant slow global processes without explicitly resolving the precise detail of the weather of each day at all scales. Using sophisticated mathematics, this project investigates how to parameterize the fast and small processes by using stochastic processes in a controllable and adaptive way.
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    Funded Activity

    Linkage Projects - Grant ID: LP0454859

    Funder
    Australian Research Council
    Funding Amount
    $230,505.00
    Summary
    Western Australia severe weather prediction: optimising forecasts using new data sources and improved high-resolution models. WA suffers unusually high exposure to severe tropical and extra-tropical weather, from its size and geographical location. This project will develop enhanced data assimilation and modelling techniques, using emerging high-resolution satellite and other data to improve the timeliness, accuracy and reliability of weather forecasts for WA. Outcomes include: improved forecas .... Western Australia severe weather prediction: optimising forecasts using new data sources and improved high-resolution models. WA suffers unusually high exposure to severe tropical and extra-tropical weather, from its size and geographical location. This project will develop enhanced data assimilation and modelling techniques, using emerging high-resolution satellite and other data to improve the timeliness, accuracy and reliability of weather forecasts for WA. Outcomes include: improved forecast systems for predicting severe weather affecting WA (and consequently Australia), and ensemble forecast systems that provide valuable probabilistic information, such as confidence limits in the forecasts. Better forecasts issued earlier for severe weather events will allow appropriate planning and management measures, thereby reducing their present high social and economic cost.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT0992214

    Funder
    Australian Research Council
    Funding Amount
    $742,600.00
    Summary
    Stochastic Methods in Mathematical Geophysical Fluid Dynamics. The project will develop analytical and numerical methods for long-term weather forecasting and climate modelling. The project deals with the mathematical aspects and fundamental mechanisms underpinning numerical climate forecasting. The project will develop new methodology for accurate modelling of the important and dominant slow global processes without explicitly resolving the precise detail of the weather of each day at all scale .... Stochastic Methods in Mathematical Geophysical Fluid Dynamics. The project will develop analytical and numerical methods for long-term weather forecasting and climate modelling. The project deals with the mathematical aspects and fundamental mechanisms underpinning numerical climate forecasting. The project will develop new methodology for accurate modelling of the important and dominant slow global processes without explicitly resolving the precise detail of the weather of each day at all scales. Using sophisticated mathematics, this project investigates how to parameterize the fast and small processes by using stochastic processes in a controllable and adaptive way.
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    Funded Activity

    Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0346878

    Funder
    Australian Research Council
    Funding Amount
    $190,000.00
    Summary
    GeoWulf: An Inference Engine for Complex Earth Systems. The project is to build a `Beowulf' cluster as a platform for solving complex data inference problems in the Earth sciences, and in particular the fields of thermochronology, seismology, crustal and mantle dynamics, and landform evolution. A Beowulf cluster is a network-linked set of commonly available `off-the-shelf' PC-computers configured to give unprecedented performance/cost ratio. Projects using the Beowulf facility will combine .... GeoWulf: An Inference Engine for Complex Earth Systems. The project is to build a `Beowulf' cluster as a platform for solving complex data inference problems in the Earth sciences, and in particular the fields of thermochronology, seismology, crustal and mantle dynamics, and landform evolution. A Beowulf cluster is a network-linked set of commonly available `off-the-shelf' PC-computers configured to give unprecedented performance/cost ratio. Projects using the Beowulf facility will combine state-of-the-art computational techniques recently developed at ANU, and high quality data sets collected over the past decade to address fundamental questions in the Geosciences.
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    Showing 1-4 of 4 Funded Activites

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