A Stochastic Spatial Rainfall Model for Engineering Risk Assessment. Current Australian hydrologic design practice is moving towards use of continuous simulation to more accurately evaluate the performance of the water-related infrastructure for managing floods and droughts. A major impediment is the inability to simulate the temporal and spatial variability of rainfall. This project aims to develop a stochastic rainfall model that will simulate long records of representative six-minute duration ....A Stochastic Spatial Rainfall Model for Engineering Risk Assessment. Current Australian hydrologic design practice is moving towards use of continuous simulation to more accurately evaluate the performance of the water-related infrastructure for managing floods and droughts. A major impediment is the inability to simulate the temporal and spatial variability of rainfall. This project aims to develop a stochastic rainfall model that will simulate long records of representative six-minute duration rainfall throughout the target region. The proposal introduces a three-level hierarchical model of space-time rainfall building on experience of a point rainfall model developed in previous ARC research. Practical issues dealing with data quality and validation will also be addressed.Read moreRead less
A stochastic space-time model of rainfall fields in large heterogeneous regions. The extreme temporal and spatial variability of Australia's rainfall affects the quantity and quality of its water resources, the productivity of its agricultural systems, and its aquatic and terrestrial ecosystems. Given the impact of extreme events such as droughts and floods and given the massive investment in water-related infrastructure, evaluation of such risks is an issue of national economic, social and envi ....A stochastic space-time model of rainfall fields in large heterogeneous regions. The extreme temporal and spatial variability of Australia's rainfall affects the quantity and quality of its water resources, the productivity of its agricultural systems, and its aquatic and terrestrial ecosystems. Given the impact of extreme events such as droughts and floods and given the massive investment in water-related infrastructure, evaluation of such risks is an issue of national economic, social and environmental significance. Stochastic space-time rainfall models enable rainfall and climatic variability to be quantified, simulated over arbitrarily long periods, and risks assessed. This research will provide software and the development of rainfall modelling frameworks for large river basins such as the Murray-Darling.Read moreRead less
A spatial extremes framework for predicting subdaily rainfall intensity. Climate change is causing extreme rainfall intensity to increase globally. The greatest increases occur for short-duration storms lasting up to several hours, bringing a heightened risk of flash-floods that are often extremely hazardous due to their rapid onset. The project aims to develop a new spatial extreme value framework to predict extreme rainfall patterns, using insights on future changes to rainfall triggering mech ....A spatial extremes framework for predicting subdaily rainfall intensity. Climate change is causing extreme rainfall intensity to increase globally. The greatest increases occur for short-duration storms lasting up to several hours, bringing a heightened risk of flash-floods that are often extremely hazardous due to their rapid onset. The project aims to develop a new spatial extreme value framework to predict extreme rainfall patterns, using insights on future changes to rainfall triggering mechanisms (e.g. convective, frontal or orographic). The research aims to provide projections in the form of intensity-frequency-duration curves, areal reduction factors and antecedent rainfall depths. Engineers are expected to use this information to design infrastructure and urban planning policies to adapt to future flood risk.Read moreRead less
A new strategy for design flood estimation in a nonstationary climate. Evidence suggests that global warming will result in an increase in the frequency and/or magnitude of heavy rainfall, leading to flooding with potentially devastating consequences. This study provides a renewed focus on design flood estimation that takes into account a changing climate where assumptions of stationarity are no longer tenable.