SOURCE-LINKED INTELLIGENCE
CRYOsphere Science Concluding in new Observations and Productive Exploitation
icient in advanced modeling techniques, including global Earth System Models (ESMs), glacier dynamics, hydrological processes, atmospheric drivers, and land surface modeling, we leverage cutting-edge artificial intelligence data analysis tools. Moreover, our consortium has a successful track record in engaging stakeholders, societies, and end-users in impactful dialogues, contributing to the development of effective adaptation and mitigation strategies. CryoSCOPE aims to demonstrate excellence across the entire value chain by: Providing advanced observations of the CAH system in globally significant and diverse ""cold spots,"" including Czechia, Finnish Lapland, Iceland, the Indian Himalayas, the Swiss Alps, Norway and Svalbard. Integrating observation-constrained modeling, spanning from detailed process models to Earth System Models (ESMs), enhancing our understanding of physical and chemical processes of the CAH system. Generating new knowledge on cryosphere-ecosystem changes in targeted regions and globally, enabling predictions of the impacts of climate change and related drivers
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 7820258.75
- 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.