Nanopublications LDF server

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• 474cf12e-8c8f-407f-81d7-ed66d2c489a5 description "# Spreading radioactive isotopes in the Arctic under different climate scenarios This Research Object gathers all the information about the Arctic Isotopes FAIR2Adapt Case Study. ## Vision & Ambitions To enable relevant stakeholders to understand the spreading and evolution of radionuclides in marine environment under changing climate and their impact on public and environmental safety, this Case Study 1. analyses the simulated states of hydrology and radionuclides in the North Atlantic and Arctic by the Norwegian Earth System Model NorESM under predefined climate change scenarios; 2. assesses the radionuclide distributions under the historical climate statues and projected climate change scenarios, and the implications for ecosystem exposure. ## Description ### Radionuclide distribution and environmental safety (Arctic) The management of anticipated alternation of seasonal and long-term sea ice coverage and ocean circulation, and more frequent permafrost thawing due to intensified global warming in the Polar regions, and the need to deal with the potential elevation of radiological dose for Arctic residents and wildlife, particularly through redistribution of radionuclides inputs from European nuclear fuel reprocessing plants and through enhanced riverine input from Arctic rivers due to thawing permafrost and increased river runoff. Climate predictions from NorESM are available in the Norwegian Research Data Archive (NIRD Archive) but are unlikely to be directly exploitable by environmental managers. At present, data from NorESM is "dumped" from the High-Performance Computing (HPC) to the NIRD archive with minimal metadata, which makes it difficult for non-expert users to understand and reuse the data for CCA. This challenge is further complicated by the large size of data sets and their preservation in a format unfamiliar to most users. ## FAIR2Adapt Contribution A Framework for FAIRifying climate models e.g. input and generated output data, as well as the model itself (model metadata), for assisting end-users in the definition of sustainable CCA scenarios. ## Lead Partner NERSC ## External Stakeholders involved in CCA Arctic Monitoring and Assessment Programme (AMAP)" assertion.
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• 474cf12e-8c8f-407f-81d7-ed66d2c489a5 cite-as "Fouilloux, Anne, Yanchun He, Torill Hamre, and Tor Olaussen. "Arctic Radioisotopes." ROHub. Mar 08 ,2025. https://w3id.org/ro-id/474cf12e-8c8f-407f-81d7-ed66d2c489a5." assertion.
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