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Field of Research : Physical Oceanography
Field of Research : Computational Fluid Dynamics
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP210102745

    Funder
    Australian Research Council
    Funding Amount
    $772,031.00
    Summary
    Quantifying vertical and lateral ocean transport due to fronts and eddies. This project aims to quantify the intensity and location of ocean currents at unprecedented fine spatial scales by using data from a new generation of high-resolution satellites. These fine scales dominate the lateral and vertical transport of ocean-borne material, including heat, larvae and pollutants like oil and plastics, yet are poorly understood. New algorithms for processing satellite data will be developed and test .... Quantifying vertical and lateral ocean transport due to fronts and eddies. This project aims to quantify the intensity and location of ocean currents at unprecedented fine spatial scales by using data from a new generation of high-resolution satellites. These fine scales dominate the lateral and vertical transport of ocean-borne material, including heat, larvae and pollutants like oil and plastics, yet are poorly understood. New algorithms for processing satellite data will be developed and tested using in situ data in the significant North West Shelf region. Expected outcomes will be novel methods to identify ocean currents and a paradigm shift in quantification of fine-scale ocean dynamics. This will benefit operational oceanography in the areas of maritime safety, defence, fisheries and the offshore industry.
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    Funded Activity

    Discovery Projects - Grant ID: DP140101322

    Funder
    Australian Research Council
    Funding Amount
    $466,600.00
    Summary
    The role of internal wave-driven near-bed turbulent dynamics in coastal ocean sediment mobilisation. This project will determine the process of internal wave-driven sediment resuspension and transport in the coastal ocean. This will be achieved by using a combination of field observations and numerical modelling, at two diverse but representative Australian coastal regions where nonlinear internal waves dominate the dynamics. The study has significant application to the offshore oil and gas indu .... The role of internal wave-driven near-bed turbulent dynamics in coastal ocean sediment mobilisation. This project will determine the process of internal wave-driven sediment resuspension and transport in the coastal ocean. This will be achieved by using a combination of field observations and numerical modelling, at two diverse but representative Australian coastal regions where nonlinear internal waves dominate the dynamics. The study has significant application to the offshore oil and gas industry engineering design and operations as well as to environmental management of the coastal ocean ecosystems. This project will achieve a process understanding and create predictive tools describing sediment resuspension and transport for use by industry and marine managers.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT110100201

    Funder
    Australian Research Council
    Funding Amount
    $681,598.00
    Summary
    Physical processes in complex coastal reef environments: the dynamics of wave- and tide-dominated systems. Coastal reefs are ubiquitous features of Australia's coastline, yet the dynamics controlling water motion on reefs still remain poorly understood. This project will significantly advance our understanding of coastal processes within reef environments, thus improving predictions of the impacts of extreme storms and climate change on our coasts.
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    Funded Activity

    Linkage Projects - Grant ID: LP170100498

    Funder
    Australian Research Council
    Funding Amount
    $440,000.00
    Summary
    An end-to-end ocean weather information system for the blue economy. This project aims to develop a state-of-the-art ocean weather information system for marine industries. The project will design an end-to-end solution that integrates ocean observations, operational forecasting, and data delivery. By addressing industry needs, this project will provide a rapid pathway from research to economic benefit.
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    Showing 1-4 of 4 Funded Activites

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