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| Funder | European Commission |
|---|---|
| Recipient Organization | Ilmatieteen Laitos |
| Country | Finland |
| Start Date | Feb 01, 2025 |
| End Date | Jan 31, 2029 |
| Duration | 1,460 days |
| Number of Grantees | 19 |
| Roles | Participant; Associated Partner; Coordinator |
| Data Source | European Commission |
| Grant ID | 101184736 |
The CryoSCOPE project unites a consortium with diverse expertise in inland ice-related fields, comprising top-level global research organizations and companies.We address challenges related to evolving land ice, snow, and permafrost, excelling in comprehensive in situ and remote sensing observations of the atmosphere, aerosols, cryosphere, and hydrology.
Proficient 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 ""cold spots,"" including the Indian Himalayas, the Alps, Iceland, Northern Scandinavia, 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 across seasonal to long-term time scales.Developing societally impactful services and solutions to bolster resilience against the changes occurring at various time scales.The overarching scientific objective of CryoSCOPE is to understand and quantify physical and chemical processes of the CAH system in diverse landscapes and found the intricate interplay among different processes.
This encompasses examining how these interactions are represented within regional process-based models and global ESMs, and predicting their susceptibility to climate change impacts.
Friedrich-Alexander-Universitaet Erlangen-Nuernberg; Suomen Ymparistokeskus; Oulun Yliopisto; Indian Institute of Technology Roorkee; Snowcap; Kemi-Torniolaakson Koulutuskuntayhtyma Lappia; Muon Solutions Oy; Universitetssenteret Pa Svalbard As; Indian Institute of Technology Madras (Iitm); Eidgenoessische Technische Hochschule Zuerich; Ilmatieteen Laitos; Oesterreichische Akademie Der Wissenschaften; University of Kashmir; Metsateho Oy; Indian Institute of Technology, Kharagpur; Norges Teknisk-Naturvitenskapelige Universitet Ntnu; Landsvirkjun; Csc-Tieteen Tietotekniikan Keskus Oy; Revolve Planet
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