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Field of Research : Applied Statistics
Socio-Economic Objective : Climate variability
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  • Funded Activity

    Linkage Projects - Grant ID: LP0989778

    Funder
    Australian Research Council
    Funding Amount
    $240,000.00
    Summary
    Using Advances in Bayesian Statistics to Estimate Australian Rainfall Variations in a Climate Change World. Modelling changes to rainfall patterns answers many important questions about changes in Australia's climate. This is essential to protecting our biodiversity and ensuring Australia's environmental sustainability. The project will address such issues as the extent to which the entire distribution of daily rainfall has changed over time, which areas of Australia have been most affected by t .... Using Advances in Bayesian Statistics to Estimate Australian Rainfall Variations in a Climate Change World. Modelling changes to rainfall patterns answers many important questions about changes in Australia's climate. This is essential to protecting our biodiversity and ensuring Australia's environmental sustainability. The project will address such issues as the extent to which the entire distribution of daily rainfall has changed over time, which areas of Australia have been most affected by this change and to what extent are these changes related to global climate indices. The latest advances in Bayesian statistics will be used to introduce flexibility and complexity into the model.
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    Funded Activity

    Discovery Projects - Grant ID: DP0344062

    Funder
    Australian Research Council
    Funding Amount
    $240,000.00
    Summary
    Improving Projections of Regional Climate Change for Australia Using Detection and Attribution Studies. The Intergovernmental Panel on Climate Change concluded in 2001 that "most of the observed warming over the last 50 years is likely to have been due to the increase in greenhouse gas concentrations" and that "anthropogenic climate change will persist for many centuries". This project will reduce uncertainties in projections of future climate change for Australia. We will compare model-simulate .... Improving Projections of Regional Climate Change for Australia Using Detection and Attribution Studies. The Intergovernmental Panel on Climate Change concluded in 2001 that "most of the observed warming over the last 50 years is likely to have been due to the increase in greenhouse gas concentrations" and that "anthropogenic climate change will persist for many centuries". This project will reduce uncertainties in projections of future climate change for Australia. We will compare model-simulated climate changes during the twentieth century with observed changes globally and in the Australian region. These comparisons will be used with statistical modelling to estimate probability distributions for future changes in Australian climate.
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    Funded Activity

    Discovery Projects - Grant ID: DP0877432

    Funder
    Australian Research Council
    Funding Amount
    $210,000.00
    Summary
    Innovations in Bayesian inference with applications to climate extremes. Climate extremes have immense impacts on Australia and society, affecting agriculture, water supply and management, bushfire control, utilities, power, insurance, the economy and many other sectors. This project will examine possible changes in the frequency and intensity of Australian extreme rainfall, droughts, flooding and tropical cyclones using innovative Bayesian statistical methods. The project will provide valuable .... Innovations in Bayesian inference with applications to climate extremes. Climate extremes have immense impacts on Australia and society, affecting agriculture, water supply and management, bushfire control, utilities, power, insurance, the economy and many other sectors. This project will examine possible changes in the frequency and intensity of Australian extreme rainfall, droughts, flooding and tropical cyclones using innovative Bayesian statistical methods. The project will provide valuable training to Australian graduates in Bayesian computation and the statistical modelling of climate extremes. It will enhance Australia's reputation as a strong contributor to the development of Bayesian methodologies and climate research, and help foster collaborations between climate and mathematical scientists.
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