Discovery Early Career Researcher Award - Grant ID: DE230100435
Funder
Australian Research Council
Funding Amount
$428,568.00
Summary
Measuring and predicting sea spray spume droplets in the field. Sea spray spume droplets modulate heat and moisture fluxes between the ocean and atmosphere. These fluxes are a major source of uncertainty in extreme weather forecasting models due to a lack of reliable field measurement techniques. This project aims to develop a novel measurement technique to measure sea spray and generate new knowledge on the magnitude and nature of sea spray spume production. Expected outcomes include novel tool ....Measuring and predicting sea spray spume droplets in the field. Sea spray spume droplets modulate heat and moisture fluxes between the ocean and atmosphere. These fluxes are a major source of uncertainty in extreme weather forecasting models due to a lack of reliable field measurement techniques. This project aims to develop a novel measurement technique to measure sea spray and generate new knowledge on the magnitude and nature of sea spray spume production. Expected outcomes include novel tools, a baseline dataset of sea spray field observations and predictive capabilities. Providing critical information to forecast extreme weather and tropical cyclones, this research will improve accuracy of coastal weather hazard prediction providing many social and economic benefits for Australia and other nations.Read moreRead less
Precipitation in shallow convection over the Southern Ocean. This project aims to quantify the amount of precipitation over the Southern Ocean and identify the key dynamical and microphysical processes that lead to its development. Large uncertainties exist in the frequency and intensity of precipitation, which limits the ability to model the coupled Southern Ocean climate system. Observations from the RV Investigator, an Australian marine research vessel, have revealed heavy precipitation event ....Precipitation in shallow convection over the Southern Ocean. This project aims to quantify the amount of precipitation over the Southern Ocean and identify the key dynamical and microphysical processes that lead to its development. Large uncertainties exist in the frequency and intensity of precipitation, which limits the ability to model the coupled Southern Ocean climate system. Observations from the RV Investigator, an Australian marine research vessel, have revealed heavy precipitation events within the shallow convection commonly found between fronts that have not been captured by either satellite observations or numerical models. This project will improve weather forecasts, including precipitation, and climate projections over the Southern Ocean and the adjoining Antarctic and the southern part of Australia.Read moreRead less
The weather-climate connection in Australian climate change. This project aims to uncover the key links in Australia's weather-climate connection by identifying the role weather features play in influencing the slowly varying climate and how changes in one might affect changes in the other. Better describing the two-way connection between weather and climate through an innovative combination of research techniques usually applied to only one of weather or climate will allow for a more insightful ....The weather-climate connection in Australian climate change. This project aims to uncover the key links in Australia's weather-climate connection by identifying the role weather features play in influencing the slowly varying climate and how changes in one might affect changes in the other. Better describing the two-way connection between weather and climate through an innovative combination of research techniques usually applied to only one of weather or climate will allow for a more insightful assessment of climate model quality. This assessment will support the identification of the most reliable climate models and, by using them, reduce uncertainties in future predictions. Improved predictions of climate in turn will enable better decision making in all sectors of society.Read moreRead less
Closing the Solar Cycle. This project aims to decisively settle the debate about the mechanism driving magnetic activity on the surface of the Sun. By drawing on extensive, big-data analysis of solar observations the project intends to use the technique of helioseismology to reveal differences in the statistical evolution of magnetic regions. Expected outcomes of this project will powerfully refine our models of the interaction between convective flows and magnetic fields in the Sun, resulting i ....Closing the Solar Cycle. This project aims to decisively settle the debate about the mechanism driving magnetic activity on the surface of the Sun. By drawing on extensive, big-data analysis of solar observations the project intends to use the technique of helioseismology to reveal differences in the statistical evolution of magnetic regions. Expected outcomes of this project will powerfully refine our models of the interaction between convective flows and magnetic fields in the Sun, resulting in a leap forward in solar dynamo theory, one of the fundamental problems in astrophysics. The anticipated benefits include moving from nowcasting to forecasting space weather, mitigating the billion dollar economic effects of geomagnetic storms.Read moreRead less
Ensemble modelling of space-weather drivers. This project aims to develop methods for forecasting the evolution of magnetic fields on the Sun's surface, and to use the results to drive an ensemble of numerical simulations of the evolution of the magnetic field in the overlying atmosphere. The project expects to create a new framework for forecasting the evolution of solar active regions, applying, for the first time, methods established in Numerical Weather Prediction. The expected outcomes are ....Ensemble modelling of space-weather drivers. This project aims to develop methods for forecasting the evolution of magnetic fields on the Sun's surface, and to use the results to drive an ensemble of numerical simulations of the evolution of the magnetic field in the overlying atmosphere. The project expects to create a new framework for forecasting the evolution of solar active regions, applying, for the first time, methods established in Numerical Weather Prediction. The expected outcomes are physics-based prediction of solar atmospheric magnetic field evolution, including explosive eruptions. The results should have significant benefit in improving prediction of extreme space weather events, which pose an increasing threat to our technologically-dependent society.Read moreRead less
3D tomographic reconstruction of rainfall using satellite signals. This project aims to use the microwave communication links of low earth and/or medium earth orbit satellites to achieve three dimensional tomographic reconstruction of rainfall. The path loss of microwave signals due to rainfall, known as rain attenuation can be used to measure rain. Similar to using X-ray to carry out human-body CT scans. With the aid of advanced signal processing techniques, the proposed method will achieve 3D ....3D tomographic reconstruction of rainfall using satellite signals. This project aims to use the microwave communication links of low earth and/or medium earth orbit satellites to achieve three dimensional tomographic reconstruction of rainfall. The path loss of microwave signals due to rainfall, known as rain attenuation can be used to measure rain. Similar to using X-ray to carry out human-body CT scans. With the aid of advanced signal processing techniques, the proposed method will achieve 3D measurements with resolution and coverage unachievable before, paving the way for innovative water relevant applications such as hydrology and agriculture, and new findings in atmospheric research.Read moreRead less
Improving the avoidance and prediction of turbulence from thunderstorms. One of the most critical weather-related safety issues for aviation is atmospheric turbulence caused by thunderstorms. Thunderstorm-generated turbulence is responsible for frequent serious injuries and significant costs to airlines that are ultimately passed on to passengers. Using extensive new data, case studies and state-of-the-art simulations, this project aims to improve our understanding of the dynamics and behaviour ....Improving the avoidance and prediction of turbulence from thunderstorms. One of the most critical weather-related safety issues for aviation is atmospheric turbulence caused by thunderstorms. Thunderstorm-generated turbulence is responsible for frequent serious injuries and significant costs to airlines that are ultimately passed on to passengers. Using extensive new data, case studies and state-of-the-art simulations, this project aims to improve our understanding of the dynamics and behaviour of thunderstorm-generated turbulence and its representation in weather forecast models. Expected outcomes of this project include the development of new methods to avoid and predict turbulence for use by the aviation industry. This research should provide significant benefits, such as safer and more efficient air travel.Read moreRead less
Cloud-climate interaction over the Great Barrier Reef and Southwest Pacific. This project aims to investigate cloud-climate interactions of the Southwest Pacific trade wind region from the regional scale to local forcing over the Great Barrier Reef. The project expects to generate new knowledge in the nature and variability of the trade wind clouds, including their impact on the surface radiative budget, ocean temperatures and coral bleaching events. Potential changes of these clouds due to glob ....Cloud-climate interaction over the Great Barrier Reef and Southwest Pacific. This project aims to investigate cloud-climate interactions of the Southwest Pacific trade wind region from the regional scale to local forcing over the Great Barrier Reef. The project expects to generate new knowledge in the nature and variability of the trade wind clouds, including their impact on the surface radiative budget, ocean temperatures and coral bleaching events. Potential changes of these clouds due to global warming and ensuing impacts on the environment will be studied. Expected outcomes include better modelling of the Great Barrier Reef environment and improved estimates of low-cloud feedback. This should provide significant benefits in developing warning systems for bleaching events, and regional land and water management. Read moreRead less
A dynamical systems theory approach to machine learning. Forecasting the future state of a high-dimensional complex multi-scale system is a challenge we face in areas ranging from climate science to epidemiology. Even when basic physical mechanisms have been identified, the actual evolution equations are often unknown. This project will develop a computationally cheap machine learning framework for forecasting. The proposed mathematical framework provides a forecast together with a quantificati ....A dynamical systems theory approach to machine learning. Forecasting the future state of a high-dimensional complex multi-scale system is a challenge we face in areas ranging from climate science to epidemiology. Even when basic physical mechanisms have been identified, the actual evolution equations are often unknown. This project will develop a computationally cheap machine learning framework for forecasting. The proposed mathematical framework provides a forecast together with a quantification of its uncertainty. We will develop sophisticated mathematical theory underpinning the novel methodology, as well as applying it to the perennial problem of subgrid-scale parametrisation of tropical convection, a missing key element in current climate models.Read moreRead less
Towards an Active and Passive L- and P-band soil moisture satellite mission. This project tests alternate configurations for remote sensing of soil moisture using a new state-of-the-art Active/Passive (ie radar/radiometer) P-/L-band (ie microwave) satellite concept through a series of airborne field experiments. Timely soil moisture information is critical to improved water management for food production in the face of climate variability. The challenge is to do this accurately over large areas ....Towards an Active and Passive L- and P-band soil moisture satellite mission. This project tests alternate configurations for remote sensing of soil moisture using a new state-of-the-art Active/Passive (ie radar/radiometer) P-/L-band (ie microwave) satellite concept through a series of airborne field experiments. Timely soil moisture information is critical to improved water management for food production in the face of climate variability. The challenge is to do this accurately over large areas with an appropriate spatio-temporal detail, and for a soil depth that closely approximates the layer which impacts crop/pasture growth and influences management decisions. The longer P-band allows deeper penetration into the soil while the active/passive combination uses the respective resolution and accuracy characteristics.Read moreRead less