ARDC Research Link Australia Research Link Australia   BETA Research
Link
Australia
  • ARDC Newsletter Subscribe
  • Contact Us
  • Home
  • About
  • Feedback
  • Explore Collaborations
  • Researcher
  • Funded Activity
  • Organisation
  • Researcher
  • Funded Activity
  • Organisation
  • Researcher
  • Funded Activity
  • Organisation

Need help searching? View our Search Guide.

Advanced Search

Current Selection
Status : Active
Field of Research : Oceanography
Research Topic : FLUID HOMEOSTASIS
Australian State/Territory : ACT
Clear All
Filter by Field of Research
Oceanography (3)
Geophysical Fluid Dynamics (2)
Physical Oceanography (2)
Climate Change Processes (1)
Climatology (1)
Geophysical and environmental fluid flows (1)
Knowledge Representation and Machine Learning (1)
Physical oceanography (1)
Filter by Socio-Economic Objective
Climate Change Models (2)
Antarctic and Southern Ocean Oceanic Processes (1)
Antarctic and Sub-Antarctic Oceanography (1)
Climate Variability (excl. Social Impacts) (1)
Effects of Climate Change and Variability on Antarctic and Sub-Antarctic Environments (excl. Social Impacts) (1)
Global Effects of Climate Change (Excl. Australia, New Zealand, Antarctica and the South Pacific) (Excl. Social Impacts) (1)
Filter by Funding Provider
Australian Research Council (3)
Filter by Status
Active (3)
Filter by Scheme
Discovery Early Career Researcher Award (2)
Discovery Projects (1)
Filter by Country
Australia (3)
Filter by Australian State/Territory
ACT (3)
  • Researchers (10)
  • Funded Activities (3)
  • Organisations (1)
  • Active Funded Activity

    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 more Read less
    More information
    Active Funded Activity

    Discovery Projects - Grant ID: DP230101836

    Funder
    Australian Research Council
    Funding Amount
    $340,000.00
    Summary
    Connecting ocean tides to the large-scale ocean circulation. This project aims to investigate the impact of tides on the ocean circulation and future climate change by combining new theory with next-generation numerical ocean models. The expected outcomes include ocean model configurations that will improve estimates of key processes affected by tides, such as Antarctic ice shelf melt rates, ocean warming and the ocean's overturning circulation. The project is thus anticipated to provide signifi .... Connecting ocean tides to the large-scale ocean circulation. This project aims to investigate the impact of tides on the ocean circulation and future climate change by combining new theory with next-generation numerical ocean models. The expected outcomes include ocean model configurations that will improve estimates of key processes affected by tides, such as Antarctic ice shelf melt rates, ocean warming and the ocean's overturning circulation. The project is thus anticipated to provide significant benefits in predicting future climate change, sea level rise, coastal erosion and marine heatwaves. Furthermore, it will enable the Australian and global communities to better target conservation and mitigation efforts, and thus reduce the environmental, social and economic impact of climate change.
    Read more Read less
    More information
    Active Funded Activity

    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 more Read less
    More information

    Showing 1-3 of 3 Funded Activites

    Advanced Search

    Advanced search on the Researcher index.

    Advanced search on the Funded Activity index.

    Advanced search on the Organisation index.

    National Collaborative Research Infrastructure Strategy

    The Australian Research Data Commons is enabled by NCRIS.

    ARDC CONNECT NEWSLETTER

    Subscribe to the ARDC Connect Newsletter to keep up-to-date with the latest digital research news, events, resources, career opportunities and more.

    Subscribe

    Quick Links

    • Home
    • About Research Link Australia
    • Product Roadmap
    • Documentation
    • Disclaimer
    • Contact ARDC

    We acknowledge and celebrate the First Australians on whose traditional lands we live and work, and we pay our respects to Elders past, present and emerging.

    Copyright © ARDC. ACN 633 798 857 Terms and Conditions Privacy Policy Accessibility Statement
    Top
    Quick Feedback