Wave-Induced Upper-Ocean Mixing. The wave-induced mixing is of principal importance for air-sea interaction models since heat capacity of 2-3m of the ocean water is equal to the capacity of the entire atmosphere. This project will study and implement such mixing, including the newly described physical phenomenon of wave-induced turbulence, into a variety of models. As a result, wave models and global climate models will be coupled. It is believed that such coupling will enhance our ability to pr ....Wave-Induced Upper-Ocean Mixing. The wave-induced mixing is of principal importance for air-sea interaction models since heat capacity of 2-3m of the ocean water is equal to the capacity of the entire atmosphere. This project will study and implement such mixing, including the newly described physical phenomenon of wave-induced turbulence, into a variety of models. As a result, wave models and global climate models will be coupled. It is believed that such coupling will enhance our ability to predict the impact of global climate change. As part of the project, predictions of changes to the global wave climate will be developed. Such predictions are important to a nation such as Australia where significant population and economic assets are located close to the coast.Read moreRead less
Numerical Modelling of Extreme Waves Generated by Tropical Cyclones. Waves generated by tropical cyclones are a key design parameter for shipping, coastal and offshore structures and coastal erosion. The accurate prediction of tropical cyclone generated extreme waves is consequently of critical importance. Outcomes of the project will lead to more accurate wave forecasts, both for tropical cyclones and other extreme events. The main result will be a new non-linear approach to be used in predicti ....Numerical Modelling of Extreme Waves Generated by Tropical Cyclones. Waves generated by tropical cyclones are a key design parameter for shipping, coastal and offshore structures and coastal erosion. The accurate prediction of tropical cyclone generated extreme waves is consequently of critical importance. Outcomes of the project will lead to more accurate wave forecasts, both for tropical cyclones and other extreme events. The main result will be a new non-linear approach to be used in prediction models. This approach is expected to be broadly implemented by the meteorological, oceanographic and scientific communities around the world and potentially replace existing algorithms in spectral wave models. The economic and social implications of an enhanced ability to predict such extremes are significant.Read moreRead less
The Spectral Evolution of Ocean Swell. This project aims to develop a comprehensive understanding of the processes responsible for the evolution of ocean swell. It will generate new knowledge in the field by using a combination of newly available satellite data and buoys strategically located along two propagation paths across the Pacific. The expected outcomes will be a unique data set and significant advances in our ability to accurately predict ocean swell. Swell prediction remains one of the ....The Spectral Evolution of Ocean Swell. This project aims to develop a comprehensive understanding of the processes responsible for the evolution of ocean swell. It will generate new knowledge in the field by using a combination of newly available satellite data and buoys strategically located along two propagation paths across the Pacific. The expected outcomes will be a unique data set and significant advances in our ability to accurately predict ocean swell. Swell prediction remains one of the major short-comings of ocean wave prediction models. As swell conditions dominate ocean wave climate for 75% of the time, accurate prediction is critical for coastal protection, understanding air-sea interaction and maintaining ship and port operations.Read moreRead less
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