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Field of Research : Maritime Engineering
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  • Active Funded Activity

    An Autonomous Sea State Monitoring System For Australia's Research Fleet.

    Funder
    Australian Research Council
    Funding Amount
    $328,389.00
    More information
    Funded Activity

    Discovery Projects - Grant ID: DP130100215

    Funder
    Australian Research Council
    Funding Amount
    $225,000.00
    Summary
    Global trends in oceanic wind speed and wave height. This project will determine whether winds and waves over the world's oceans have changed over the past 30 years. Such information is critically important in understanding global climate change, evaporation, air-sea interaction and to safely design and operate coastal and offshore facilities.
    More information
    Funded Activity

    Discovery Projects - Grant ID: DP160100738

    Funder
    Australian Research Council
    Funding Amount
    $452,733.00
    Summary
    Predicting environmental extremes in a period of climate change. This project has the potential to reduce the uncertainty in the predictions of extreme winds and waves used to design and operate coastal and offshore facilities. Predictions are typically achieved by extrapolating recorded data to predict probable extremes. The uncertainties associated with this approach are very large. This project aims to develop a new approach called ‘large ensemble aggregate’ analysis, which brings together da .... Predicting environmental extremes in a period of climate change. This project has the potential to reduce the uncertainty in the predictions of extreme winds and waves used to design and operate coastal and offshore facilities. Predictions are typically achieved by extrapolating recorded data to predict probable extremes. The uncertainties associated with this approach are very large. This project aims to develop a new approach called ‘large ensemble aggregate’ analysis, which brings together data from alternative model predictions or alternative measurement locations to expand the effective data and avoid the necessity for statistical extrapolation. This approach may significantly reduce the uncertainty in estimating extreme values. This would reduce the cost of constructing coastal and offshore facilities and decrease the risk of catastrophic failure.
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