Project description
A new framework to understand Antarctic ice-ocean interactions
Warm ocean currents that melt ice shelves from below are threatening the stability of the Antarctic ice sheet, which is a regulator of global sea levels. Monitoring these processes is important but not easy to do because there is a lack of subsurface data and traditional ocean models are costly. Supported by the Marie Skłodowska-Curie Actions programme, the CAPTSA project aims to use the first physics-informed neural network framework dedicated to Antarctic ice–ocean interactions. It will merge satellite data with fundamental physical laws, and reconstruct daily full-depth ocean temperatures and circulation patterns. This approach allows researchers to link climate forcing to specific melt rates. Ultimately, CAPTSA provides the data needed to accurately predict Antarctic contributions to future sea-level rise.
Objective
The Antarctic ice sheet, a critical regulator of global sea level, is losing mass mainly through basal melting driven by warm Circumpolar Deep Water (CDW) intrusions. These are controlled by the Antarctic Slope Front (ASF), whose variability dictates when and where CDW can access ice-shelf cavities. Understanding these processes is limited by sparse in situ data, satellites’ inability to observe subsurface conditions, and the coarse or computationally expensive nature of existing ocean models.
This project will develop CAPTSA (Circum-Antarctic Physics-informed model for Temperature, Salinity, and Advection), the first Physics-Informed Neural Network (PINN) framework to enhance our understanding of Antarctic ice-ocean interactions. CAPTSA will integrate satellite-derived data, limited in situ observations, and governing physical equations to reconstruct the daily full-depth structure of temperature, salinity, and circulation across the Southern Ocean and Antarctic shelves.
By combining the flexibility of machine learning with physical consistency, CAPTSA will overcome challenges of data sparsity, coarse resolution, poorly constrained parametrization schemes, and computational cost. Its time series predictions will be employed in the analysis of ASF dynamics, CDW intrusions, and cross-shelf exchanges across fresh, warm, and dense shelf regimes. Further, by linking the CAPTSA predictions with satellite- and radar-derived melt estimates, CAPTSA will allow causal attribution between external climate forcing, oceanic variability, and ice-shelf melt rates. This integrative approach will advance process-based understanding of ice-ocean feedbacks and provide a robust framework for regime-specific projections of basal melting and Antarctic contributions to sea-level rise.
Fields of science (EuroSciVoc)
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CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
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(opens in new window) HORIZON-MSCA-2025-PF
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9296 Tromsoe
Norway
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