Understanding Global Patterns of Sea Level Rise and Ocean Heat Redistribution (Project C2)

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Project C2 will address questions that are fundamental to our understanding of climate change: What are theregional rates of sea level rise? How is regional sea level rise related to changes in sea level extremes andto changes in sea state? To what extent do satellite observations of the sea surface fit to modelling of ocean heat change (OHC)? Which patterns of heat redistribution can be derived from satellite observations? Wewill explore the synergy in the RU to better exploit the vast archive of satellite data and ocean modelling.New and efficient methods for geometric representation and clustering data will be tailored to the problem (AI methods have been introduced in ocean remote sensing before, but these were mostly transferredfrom image analysis and often did not properly account for the geometrical nature of the problems). Thus,within this RU, we decided to address four particular problems with novel AI-based methods: (1) Consistent analysis of radar echoes for sea surface height (SSH) and significant wave height (SWH), (2) Combining and analysing SSH variability, (3) Reconstructing multi-decadal SSH with sparse data, and (4) inverting radar observations of SSH into OHC. These problems follow the analysis chain in sea level research, but they can be addressed independently.