Discovery Early Career Researcher Award - Grant ID: DE120101130
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
New models and estimation methods in nonlinear panel data econometrics. This project will develop new econometric models and methods for capturing dynamic and complex relationships within economic and social systems. The outcomes of this project are expected to improve policy making process concerning climate change, economy and financial markets, through providing accurate estimates of relationships of interest.
Trending time series models with non- and semi-parametric methods. The outcomes of this project will not only complement but also enhance the existing strengths and reputation of Australian researchers in the field of econometrics. The outcomes are also expected to help improve model building and forecasting from better models in climatology, economics, environmetrics and financial econometrics.
Dissipation and relaxation in statistical mechanics. This project studies the mathematical conditions for relaxation either to equilibrium or to steady states, which is important in predicting behaviour in diverse fields including climate modelling, materials science, nanotechnology and biology. Early career researchers will be involved in the project, gaining valuable skills in theory and simulation.
Non- and Semi-Parametric Panel Data Econometrics: Theory and Applications. This project proposes to tackle several very important and difficult issues in modelling general climatological, economic and financial panel data that involve possible trending components. This project seeks to establish some general asymptotic theory for model estimation and specification technologies that are suited to such general nonlinear panel data that may be stochastically non-stationary and endogenous. The resea ....Non- and Semi-Parametric Panel Data Econometrics: Theory and Applications. This project proposes to tackle several very important and difficult issues in modelling general climatological, economic and financial panel data that involve possible trending components. This project seeks to establish some general asymptotic theory for model estimation and specification technologies that are suited to such general nonlinear panel data that may be stochastically non-stationary and endogenous. The research outcomes of this project are expected to be applicable in evaluating and improving empirical model building and forecasting from better models in climatology, economics and finance with possible endogeneity and nonlinearity and non-stationarity.Read moreRead less
Improved theory and practice in econometric modelling of nonlinear spatial time series. Modern Australia faces many challenges in economic and global climate changes, which require advanced statistical technologies in modeling and forecasting of econometric spatial time series data. This project will provide flexible models and methods that enable practitioners to more accurately measure and manage economic and climatic risks.
Deep ocean thermodynamics and climate change. This project aims to obtain new insights into the thermodynamic and transport properties of mixtures containing water, particularly at high pressures, that impact directly on our understanding of climate change processes. The project will involve the use of a polarisable potential for water which has recently been demonstrated to yield predictions of high accuracy. It will be used to model saline water mixtures containing carbon dioxide, resulting in ....Deep ocean thermodynamics and climate change. This project aims to obtain new insights into the thermodynamic and transport properties of mixtures containing water, particularly at high pressures, that impact directly on our understanding of climate change processes. The project will involve the use of a polarisable potential for water which has recently been demonstrated to yield predictions of high accuracy. It will be used to model saline water mixtures containing carbon dioxide, resulting in valuable data for thermodynamic properties of the world's oceans. These data are of crucial importance for accurate climate change predictions and as such the project will have an important impact on understanding our changing environment.Read moreRead less
Unraveling ocean mixing and air-sea forcing along the Indo-Pacific exchange. This project aims to collect unprecedented observations and develop high resolution model simulations to examine changes in the Indonesian Throughflow (ITF) north of Australia. This project expects to develop new knowledge of ocean-atmosphere interactions along the path of the ITF from the Pacific to the Indian Ocean, which are the powerhouse that drives changes in winds and rainfall around Australia and the entire Indo ....Unraveling ocean mixing and air-sea forcing along the Indo-Pacific exchange. This project aims to collect unprecedented observations and develop high resolution model simulations to examine changes in the Indonesian Throughflow (ITF) north of Australia. This project expects to develop new knowledge of ocean-atmosphere interactions along the path of the ITF from the Pacific to the Indian Ocean, which are the powerhouse that drives changes in winds and rainfall around Australia and the entire Indo-Pacific region. Expected outcomes include a 1000-fold increase in the observations of mixing in the Indonesian seas and new understanding of the ocean-atmosphere processes that control water property change along the ITF. This should lead to strong improvement in the skill of climate forecast models in the Australian region.Read moreRead less
Coupling tropical cyclone and climate physics with ocean waves. It is argued that without accounting for the wave effects directly, the physics of large-scale air-sea interactions is inaccurate and incomplete. The project will introduce explicit coupling of large-scale atmospheric and oceanic phenomena with the physics of surface waves which should lead to improved predictions of tropical cyclones and climate.
Discovery Early Career Researcher Award - Grant ID: DE150100985
Funder
Australian Research Council
Funding Amount
$390,000.00
Summary
Entrainment and interface dynamics of turbulent flows. Patches of turbulent flow such as in clouds, volcanic or bushfire plumes grow with time because they draw or entrain non-turbulent fluid through their boundaries. The quantity of fluid entrained, and why it entrains this amount, is poorly understood. This is a major bottleneck in our ability to predict how these natural phenomena evolve in time. This project aims to employ idealised laboratory models of these natural phenomena, and utilise h ....Entrainment and interface dynamics of turbulent flows. Patches of turbulent flow such as in clouds, volcanic or bushfire plumes grow with time because they draw or entrain non-turbulent fluid through their boundaries. The quantity of fluid entrained, and why it entrains this amount, is poorly understood. This is a major bottleneck in our ability to predict how these natural phenomena evolve in time. This project aims to employ idealised laboratory models of these natural phenomena, and utilise high quality measurement techniques and theoretical tools to quantify and understand the physical basis of the entrainment mechanism. The project aims to create better climate models and more accurate predictions of natural disasters associated with bushfires and volcanos.Read moreRead less
Testing a new explanation of cloud feedback on global climate. A new analysis suggests that the sensitivity of global climate to greenhouse gases is largely controlled by the upward transport of water vapour in the lower troposphere, but the analysis did not examine clouds, which must be involved for the mechanism to be valid. The aim of the proposed project is to determine whether variations in cloud implied by this new explanation are supported by observations and process models. If the explan ....Testing a new explanation of cloud feedback on global climate. A new analysis suggests that the sensitivity of global climate to greenhouse gases is largely controlled by the upward transport of water vapour in the lower troposphere, but the analysis did not examine clouds, which must be involved for the mechanism to be valid. The aim of the proposed project is to determine whether variations in cloud implied by this new explanation are supported by observations and process models. If the explanation is confirmed, then for the first time in over 30 years of intense research it will be possible to determine the long-term severity of global warming by examining the present-day atmosphere. The expected outcome of this research is to clarify how and why low clouds change in altered climates.Read moreRead less