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.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130100663
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Understanding the termination of El Nino-Southern Oscillation events. Australia's climate is extreme, with significant drought and flooding events driven by cycles of the El Nino-Southern Oscillation (ENSO). This study will improve our understanding of the termination of ENSO events and lead to better inter-seasonal climate forecasting, aiding the sectors reliant on accurate climate prediction.
ARC Centres of Excellence for Climate System Science. Our capacity to assess the threat of climate change is undermined by an unacceptable level of uncertainty in the understanding and modelling of regional climates. The Centre will undertake world-class research targeting identified weaknesses in the physical, chemical and biological components of the climate system. We will engage and nurture graduate students and postdoctoral follows through a program of graduate training and mentoring to per ....ARC Centres of Excellence for Climate System Science. Our capacity to assess the threat of climate change is undermined by an unacceptable level of uncertainty in the understanding and modelling of regional climates. The Centre will undertake world-class research targeting identified weaknesses in the physical, chemical and biological components of the climate system. We will engage and nurture graduate students and postdoctoral follows through a program of graduate training and mentoring to permanently transform our understanding of climate systems science particularly for the Australian region. The key outcome will be a dramatic enhancement in national capacity to understand and project the scale of future regional climate change.Read moreRead less
An integrated examination of the drivers of movements of large filter feeding organisms of high ecotourism value: a case study. This aim is to define key drivers behind movements of large filter-feeding organisms, using the manta ray as a model system. As dive eco-tourism often depends on the presence of such charismatic filter-feeding animals, an understanding of why animals occupy particular sites at particular times is important, especially in the face of climate change.
Beyond the linear dynamics of the El Nino Southern Oscillation. This project will pioneer new climate models of the El Nino natural mode of climate variability, which will ultimately enable us to better predict seasonal weather fluctuation for Australia and improve our understanding of climate change in the tropical regions.