SOURCE-LINKED INTELLIGENCE
Unravelling FRESHwater and ocean Currents changes in the Arctic using REmote sensing
's thermohaline circulation. Despite its key role in global climate system, the ultimate fate of Arctic freshwater remains unconstrained. Current estimates lack the resolution that remote sensing and Artificial Intelligence (AI) can provide. It is crucial to improve freshwater flux uncertainties, to better constrain future projections and understand global climate impacts. FRESH-CARE aims to transform our understanding of Arctic freshwater dynamics. It will develop innovative methodologies that leverage (radiometric, thermal, and altimetric) satellite data, AI-integrate remote sensing and in-situ information, and run model simulations to forecast freshwater transports under various Shared Socioeconomic Pathways. FRESH-CARE will focus on three specific objectives: (1) develop a novel AI-based methodology to characterize four-dimensional ocean currents; (2) quantify freshwater transports through the main Arctic gateways; and (3) perform simulations for future Arctic freshwater scenarios using a coupled ice–ocean model. Overall, I envision that FRESH-CARE will offer a multidiscipli
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1499482
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T03:21:21.440Z. This is not the publication date.