Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100136
Funder
Australian Research Council
Funding Amount
$340,000.00
Summary
Mobile weather radar system for advanced environmental monitoring and modelling. High spatial and temporal resolution weather radar data on wind and precipitation will translate to significant environmental model advances. Australian researchers will undertake model validation studies on precipitation, dust storm, and flood prediction under a wider range of environmental conditions and in greater detail than currently possible.
Discovery Early Career Researcher Award - Grant ID: DE180100550
Funder
Australian Research Council
Funding Amount
$356,446.00
Summary
Preserving our rivers: environmental water use in a changing climate. This project aims to develop an 'active management' tool to improve the robustness and transparency of environmental water management. Managing Government investment on environmental water requires decisions on when and where to use water, involving complex trade-offs between competing benefits. This project will develop a tool to address shortcomings in currently available approaches based on the assumption of stationary clim ....Preserving our rivers: environmental water use in a changing climate. This project aims to develop an 'active management' tool to improve the robustness and transparency of environmental water management. Managing Government investment on environmental water requires decisions on when and where to use water, involving complex trade-offs between competing benefits. This project will develop a tool to address shortcomings in currently available approaches based on the assumption of stationary climate, leading to more environmental benefit for less water, and greater resilience in the face of a changing climate.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
Mass flux pathways in stratified lakes. The aims of this project are to determine parametric descriptions of all transport and mixing mechanisms and their interactions in a stratified lake, validate these parameterisations through process fieldwork (Lake Argyle and Lake St Clair) and then use this understanding to validate and improve a new Lagrangian Dynamic Lake Multi-Basin Model. This project will endeavour to provide lake managers with a new, validated numerical model that will allow inter-s ....Mass flux pathways in stratified lakes. The aims of this project are to determine parametric descriptions of all transport and mixing mechanisms and their interactions in a stratified lake, validate these parameterisations through process fieldwork (Lake Argyle and Lake St Clair) and then use this understanding to validate and improve a new Lagrangian Dynamic Lake Multi-Basin Model. This project will endeavour to provide lake managers with a new, validated numerical model that will allow inter-seasonal simulations with the numerical error being less than the signal. This will be of great importance to ecology, as future advances in that area will largely depend upon a model with correct description of the mass flux paths in a stratified lake.Read moreRead less
A unified approach for estimating coastal flood risk. The project aims to develop a unified approach to quantifying flood risk. Because flooding is caused by multiple mechanisms such as extreme rainfall, storm surge and astronomical tide, accurately estimating flood levels in the Australian coastal zone is challenging. By quantifying flood risk in terms of these mechanisms, the project is expected to provide reliable flood risk estimates for both historical settings and future climate scenarios. ....A unified approach for estimating coastal flood risk. The project aims to develop a unified approach to quantifying flood risk. Because flooding is caused by multiple mechanisms such as extreme rainfall, storm surge and astronomical tide, accurately estimating flood levels in the Australian coastal zone is challenging. By quantifying flood risk in terms of these mechanisms, the project is expected to provide reliable flood risk estimates for both historical settings and future climate scenarios. The improved estimation should enable Australian water agencies and policy-makers to effectively design defence infrastructure (e.g. drainage systems) and urban planning policies to adapt to future flood risk.Read moreRead less
Uncertainty quantification in terrestrial hydrologic systems. This project aims to develop a framework to simulate, quantify and analyse the uncertainty in streamflow and vegetation dynamics via approximate Bayesian computation. Water is a fundamental resource, and a difficulty in water resource management is to make predictions in a changing environment. Uncertainties in predictions of natural systems due to observational and model error make this more difficult. It is anticipated that the resu ....Uncertainty quantification in terrestrial hydrologic systems. This project aims to develop a framework to simulate, quantify and analyse the uncertainty in streamflow and vegetation dynamics via approximate Bayesian computation. Water is a fundamental resource, and a difficulty in water resource management is to make predictions in a changing environment. Uncertainties in predictions of natural systems due to observational and model error make this more difficult. It is anticipated that the results from this project will advance uncertainty analysis in hydrology and help understand how different types of data and information can inform model characterisation. This will be useful in providing vital information on the attributes and extent of uncertainty to inform water resources analysis, management and decision making.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
Assessing future drought risk for water resources system management. The project aims to develop a new method for understanding drought drivers in eastern Australia and how well these are portrayed by climate models. The intended outcome of the project is to provide a framework for evaluating climate models on their representation of drought drivers and then use this information to develop improved downscaling schemes. Traditional downscaling approaches do not capture changes in variability in r ....Assessing future drought risk for water resources system management. The project aims to develop a new method for understanding drought drivers in eastern Australia and how well these are portrayed by climate models. The intended outcome of the project is to provide a framework for evaluating climate models on their representation of drought drivers and then use this information to develop improved downscaling schemes. Traditional downscaling approaches do not capture changes in variability in rainfall and evaporation at interannual and interdecadal timescales. This project aims to address this problem by providing a comprehensive drought downscaling framework which will provide inputs to water sharing plans that can be used to assess the future risks of droughts in catchments across New South Wales.Read moreRead less
A study of turbulence and influence of anthropogenic inputs in small subtropical estuaries. This project aims to improve our basic understanding of mixing and dispersion processes in small subtropical estuaries, and to develop improved predictive models to assist with the management of natural ecosystems. This will be the first comprehensive study of mixing processes and the influence of anthropogenic inputs in small subtropical estuaries.
Ecological regime shifts for re-engineering water pollution management. This project aims to validate a framework for the management of water pollution. As the world population increases, maintaining robust, cost-effective and environmentally safe water resources is important. This project will investigate environmental controls of toxin occurrence in urban and wastewater systems. The project is expected to mitigate deadly cyanotoxins, which threaten the safety of water resources, while a numeri ....Ecological regime shifts for re-engineering water pollution management. This project aims to validate a framework for the management of water pollution. As the world population increases, maintaining robust, cost-effective and environmentally safe water resources is important. This project will investigate environmental controls of toxin occurrence in urban and wastewater systems. The project is expected to mitigate deadly cyanotoxins, which threaten the safety of water resources, while a numerical ecological model will tackle water pollution issues in natural and engineered water systems.Read moreRead less