SOURCE-LINKED INTELLIGENCE
Arctic Summer Sea Ice in 3D
able for stakeholders, owing to significant data processing challenges. This has been identified as a key observation gap for polar research by the IPCC. SI/3D will address this gap, harnessing deep machine learning, modelling of the radar altimeter response, and dedicated field campaigns, to overcome the processing barriers. I will integrate satellite data from multiple ESA, EU-Copernicus, and NASA altimetry missions to produce the first 15+ year high-accuracy record of pan-Arctic sea ice thickness without interruptions in the summer. With this unique dataset, I can achieve the following goals. (1) To close the Arctic sea ice volume budget, pinpointing the mechanisms driving seasonal decay and breakup of the ice pack and the feedbacks of sea ice loss on Arctic temperatures. (2) To upgrade seasonal sea ice forecasts from state-of-the-art modelling systems by assimilating summer ice thickness observations. SI/3D will create a new discipline of sea ice research by using altimetry to study the Arctic summer, which is risky. Having led the first published pilot research in this field,
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 2062021
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.