MoistureMonitor: A multi-mission soil moisture monitoring system for a water limited future. A long-term soil moisture record for Australia is critical to understanding climate change feedback mechanisms and their impacts on water management. This project will validate, downscale and harmonise soil moisture retrievals from three satellite missions across this decade, each using a new and different low resolution antenna technology and interpretation approach. Moisture Monitor, the framework to d ....MoistureMonitor: A multi-mission soil moisture monitoring system for a water limited future. A long-term soil moisture record for Australia is critical to understanding climate change feedback mechanisms and their impacts on water management. This project will validate, downscale and harmonise soil moisture retrievals from three satellite missions across this decade, each using a new and different low resolution antenna technology and interpretation approach. Moisture Monitor, the framework to deliver this soil moisture record, will be verified using airborne campaigns and hydrological monitoring infrastructure in the Murrumbidgee catchment. Important outcomes will be validation of a new soil moisture satellite and development of a high resolution soil moisture product for improved land and water management and policy for Australia.Read moreRead less
Reducing flood loss - A data-assimilation framework for improving forecasting capability in sparsely gauged regions. Floods are the biggest and severest natural disaster we face year after year. Furthermore, there has been little improvement in our capability to prevent flood damage over past decades. This research proposes a paradigm shift in the way flood forecasting, warning and evacuation proceeds, using 21st century technologies for collecting and incorporating flood related data into exist ....Reducing flood loss - A data-assimilation framework for improving forecasting capability in sparsely gauged regions. Floods are the biggest and severest natural disaster we face year after year. Furthermore, there has been little improvement in our capability to prevent flood damage over past decades. This research proposes a paradigm shift in the way flood forecasting, warning and evacuation proceeds, using 21st century technologies for collecting and incorporating flood related data into existing modelling platforms. It is argued that assimilating real-time satellite soil moisture data into flood models can increase accuracy manifold, even if the images are uncertain. The understanding gained in course of the proposed project has the potential to significantly reduce the damage caused year after year, especially in the data poor regions of the world.Read moreRead less
Cost Effective Pipeline Condition Assessment Using Paired Pressure Sensor Arrays. Water distribution networks represent society's most important infrastructure asset. They are buried pipes and are often old and deteriorating. Cost-effective methods to assess their physical condition are urgently needed. This research will develop a novel and advanced approach to determine the interior condition of pipes quickly and effectively using small water hammer pulses or waves. Paired pressure sensor arra ....Cost Effective Pipeline Condition Assessment Using Paired Pressure Sensor Arrays. Water distribution networks represent society's most important infrastructure asset. They are buried pipes and are often old and deteriorating. Cost-effective methods to assess their physical condition are urgently needed. This research will develop a novel and advanced approach to determine the interior condition of pipes quickly and effectively using small water hammer pulses or waves. Paired pressure sensor arrays will be used to measure reflections of the waves in pipes and these methods will enable finer resolution and identification of pipeline faults, such as wall thickness loss and leakage while at the same time allowing operational continuity. The outcome will be powerful tools to more cost effectively manage these crucial assets.Read moreRead less
Delivering robust hydrological predictions for Australia’s water challenges. This project aims to build a virtual hydrological laboratory to identify the best hydrological models that maximise predictive performance in a range of catchments, accounting for their dominant hydrological processes and data availability. New process-informed hydrological model structures will be developed using this virtual laboratory to embody our best understanding of hydrological processes and data from real catch ....Delivering robust hydrological predictions for Australia’s water challenges. This project aims to build a virtual hydrological laboratory to identify the best hydrological models that maximise predictive performance in a range of catchments, accounting for their dominant hydrological processes and data availability. New process-informed hydrological model structures will be developed using this virtual laboratory to embody our best understanding of hydrological processes and data from real catchments. The expected outcomes include major improvements in hydrological predictions for Australian catchments. This project will provide major benefits to irrigators, water authorities and engineers, who rely on hydrological predictions for sustainable water management in the highly-variable, semi-arid Australian climate.Read moreRead less
Forecasting drought impacts months ahead using satellite data. Skillful seasonal water and crop forecasts could do much to help cope with drought and water-related food crises. Recent advances in hydrological modelling and satellite remote sensing of surface soil moisture, landscape water storage and vegetation biomass have created a great opportunity to produce such forecasts over large areas. This project will exploit that opportunity by assimilating the satellite observations into a global wa ....Forecasting drought impacts months ahead using satellite data. Skillful seasonal water and crop forecasts could do much to help cope with drought and water-related food crises. Recent advances in hydrological modelling and satellite remote sensing of surface soil moisture, landscape water storage and vegetation biomass have created a great opportunity to produce such forecasts over large areas. This project will exploit that opportunity by assimilating the satellite observations into a global water and vegetation forecasting model. The resulting improvement in seasonal forecasts of stream flow, soil moisture and crop production will be quantified and compared to the limited forecasts that are currently available.Read moreRead less