Remote forcing of Pacific Ocean variability and impacts on global climate. Variability in the Pacific Ocean has a profound impact on global climate. Recent unprecedented decadal variability in the Pacific has been linked to global temperature trends and extremes, yet little is known about what drives this variability or its impact on regional climate. This project will combine observations, advanced coupled climate models and ocean-atmosphere dynamical theory to quantify remote drivers of Pacifi ....Remote forcing of Pacific Ocean variability and impacts on global climate. Variability in the Pacific Ocean has a profound impact on global climate. Recent unprecedented decadal variability in the Pacific has been linked to global temperature trends and extremes, yet little is known about what drives this variability or its impact on regional climate. This project will combine observations, advanced coupled climate models and ocean-atmosphere dynamical theory to quantify remote drivers of Pacific Ocean variability on interannual-decadal time-scales. This project aims to enhance our understanding of the modes of variability operating in this region and their impact on global and Australian climate. This will have significant benefits for the many sectors of society reliant on interseasonal-decadal climate prediction.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
Melting and circulation in Antarctic ice shelf cavities. This project will explore and model the mechanisms causing the observed increased rate of melting of Antarctica’s ice shelves. This understanding is essential for accurate predictions of sea level rise and global thermohaline circulation over the next century, so that their impact on society can be planned for and mitigated.
A new energy budget for the global circulation of the oceans. The energy sources and sinks that govern the global circulation of the oceans will be re-evaluated, building a new picture of the energy budget of the oceans. This will lead to new knowledge of the circulation of the deep oceans, to better ocean and climate-prediction models, and ultimately to more reliable estimates of future climate change.
Discovery Early Career Researcher Award - Grant ID: DE170100184
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Understanding Antarctic dense water formation. This project aims to use a high-resolution global modelling approach to understand how Antarctic dense water formation changed in past climates and how to predict future changes. The Southern Ocean is critical in the uptake of heat and carbon from the atmosphere into the deep ocean. The sinking of cold and saline dense water around the coast of Antarctica transports heat and carbon into the deep ocean. Climate models fail to simulate this process an ....Understanding Antarctic dense water formation. This project aims to use a high-resolution global modelling approach to understand how Antarctic dense water formation changed in past climates and how to predict future changes. The Southern Ocean is critical in the uptake of heat and carbon from the atmosphere into the deep ocean. The sinking of cold and saline dense water around the coast of Antarctica transports heat and carbon into the deep ocean. Climate models fail to simulate this process and little is known about how dense water formation responds to changes in climate. Identification of critical vulnerabilities associated with Antarctic ice shelf melting and sea level rise will guide Southern Ocean observation systems and Australian climate adaptation programs.Read moreRead less
Dynamics of the Southern Ocean. The Southern Ocean is critically important to future global climate: it controls the natural global carbon cycle and the distribution of heat and nutrients around the ocean. This project will investigate key uncertainties in the Southern Ocean's response to climate change, and thereby improve our capacity to predict future climate.
An ensemble approach to studying the ocean's role in climate change. Using a newly-developed ocean model that harnesses the power of graphical processing units (GPUs) instead of the common central processing units (CPUs) we can run global ocean simulations at 1/50th the cost. Utilising this speed up, we aim to pioneer a modelling framework to perform ensembles of eddy-resolving global ocean simulations under various climate-change scenarios. This ensemble approach will enable us to separate the ....An ensemble approach to studying the ocean's role in climate change. Using a newly-developed ocean model that harnesses the power of graphical processing units (GPUs) instead of the common central processing units (CPUs) we can run global ocean simulations at 1/50th the cost. Utilising this speed up, we aim to pioneer a modelling framework to perform ensembles of eddy-resolving global ocean simulations under various climate-change scenarios. This ensemble approach will enable us to separate the changes we see in future projections that are due to climate change from the changes that occur in the due to the natural variations of the climate system. The project's outcomes will increase our confidence in future climate change projections, including ocean heat uptake, and sea level rise.Read moreRead less
Keystone microbes and planktonic guilds in Australia's oceans. This project aims to unveil the ocean’s hidden sentinels, “keystone microbes” that underpin precious ecosystem services, and which can be used to monitor and model changes in ocean function. Marine microbes account for 90 per cent of oceanic biomass and every litre of seawater contains ~20,000 different species, but it is not known which species control ocean health and productivity. This project intends to provide definitive evidenc ....Keystone microbes and planktonic guilds in Australia's oceans. This project aims to unveil the ocean’s hidden sentinels, “keystone microbes” that underpin precious ecosystem services, and which can be used to monitor and model changes in ocean function. Marine microbes account for 90 per cent of oceanic biomass and every litre of seawater contains ~20,000 different species, but it is not known which species control ocean health and productivity. This project intends to provide definitive evidence of these keystones’ cellular level biogeochemical and metabolic capacity. Ultimately, this knowledge is expected to predict the resilience of ocean ecosystems and their response to change. The capacity to predict their dynamics will help provide investment clarity and increase healthy outcomes from activities involving human-ocean interactions such as recreation, food production and tourism.Read moreRead less
Risks of rapid ocean warming at the Antarctic continental margin. This project aims to comprehensively understand the interconnected processes by which oceanic heat is circulated towards Antarctica. The risk of rapid ocean warming at the Antarctic margin is profound, with change already detected via deep ocean warming, land-ice melt, and ice shelf collapse. Yet this region remains poorly understood, with only limited observations due to both a harsh environment and a lack of standard data stream ....Risks of rapid ocean warming at the Antarctic continental margin. This project aims to comprehensively understand the interconnected processes by which oceanic heat is circulated towards Antarctica. The risk of rapid ocean warming at the Antarctic margin is profound, with change already detected via deep ocean warming, land-ice melt, and ice shelf collapse. Yet this region remains poorly understood, with only limited observations due to both a harsh environment and a lack of standard data streams. This project will use high-resolution global and regional ocean/sea-ice models to examine mechanisms for rapid warming of Antarctic continental shelf waters via both large-scale drivers and fine-scale processes, including mesoscale eddies, tide-topography interactions, and bottom boundary flows. This work will better constrain future rates of ice melt around Antarctica by providing vital knowledge of the ocean processes, dynamics, and feedbacks relating to warm water intrusion onto the Antarctic continental shelf.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100749
Funder
Australian Research Council
Funding Amount
$434,030.00
Summary
Machine learning of subgrid ocean physics for global ocean models. Climate projections require simulations with ocean-climate models for hundreds of years. Computational resources limit the resolution of our models for such long runs, meaning that some key physical processes remain unresolved and must be parameterised. This project uses machine learning to find new parameterisations for unresolved ocean processes. These new parameterisations will be implemented into computationally cheaper coars ....Machine learning of subgrid ocean physics for global ocean models. Climate projections require simulations with ocean-climate models for hundreds of years. Computational resources limit the resolution of our models for such long runs, meaning that some key physical processes remain unresolved and must be parameterised. This project uses machine learning to find new parameterisations for unresolved ocean processes. These new parameterisations will be implemented into computationally cheaper coarse-resolution ocean models, thereby enhancing these models' representation of the ocean circulation. This project expects to reveal the dynamics of unresolved processes, to improve the accuracy of climate projections and to provide a proof-of-concept for how machine learning can be used in ocean and climate science.Read moreRead less