CORDIS Project
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This project develops a Physics-Informed Neural Network framework to improve understanding of Antarctic ice-ocean interactions. By integrating various data sources, it aims to enhance predictions of temperature, salinity, and circulation, ultimately addressing the impact of climate change on ice melt.
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.Th…
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Norway, Oslo
Type: Research institute
Activity type: Research Organisations
SME: No
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