Objective
EDITO-Model Lab will prepare the next generation of ocean models, complementary to Copernicus Marine Service to be integrated into the EU public infrastructure of the European Digital Twin Ocean (EDITO) that will ensure access to required input and validation data (from EMODnet, EuroGOOS, ECMWF, Copernicus Services and Sentinels satellite observations) and to high-performance and distributed computing facilities (from EuroHPC for HPC and other cloud computing resources) and that will be consolidated under developments of Destination Earth (DestinE).
The objective is to make ocean knowledge available to citizens, entrepreneurs, policymakers, decision-makers and scientific experts alike, thus enabling them to become partners in knowledge generation, explore desirable futures and develop ocean management scenarios (and assemble their own twins), with the overarching goal of ensuring a safe, healthy and productive ocean. As an interactive and user driven initiative, EDITO-Model Lab will deliver a Virtual Ocean Model Lab (VOML) including (1) a core model suite including global high-resolution models and coastal configurations, (2) downstream user toolkits and (3) a developer’s toolkit for a sustainable ocean.
The VOML will be an interactive and co-development environment to operate models. EDITO core model suite will be based on modelling and simulation software, artificial intelligence (AI) algorithms and specialised tools to form a new service capacity for accessing, manipulating, analysing and understanding marine information. Intermediate and downstream stakeholders will find digital tools, data and information for ‘focus applications’ (FA) that refer to the Mission Ocean Lighthouses (MOLs) and the sustainable Blue economy, including ‘what-if scenarios’ to find solutions to natural and man-induced hazards.
EDITO-Model Lab will be delivered in 36 months by a consortium of 14 authoritative partners, covering ocean knowledge, modelling and technological expertise.
Fields of science
- natural sciencescomputer and information sciencesartificial intelligence
- social scienceseconomics and businessbusiness and managemententrepreneurship
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technology
- natural sciencescomputer and information sciencessoftwaresoftware applicationssimulation software
Keywords
Programme(s)
Funding Scheme
IA - Innovation actionCoordinator
31400 Toulouse
France
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Participants (12)
91120 Palaiseau
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73100 Lecce
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75794 Paris
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2629 HV Delft
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40126 Bologna
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2100 Kobenhavn
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21502 Geesthacht
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40033 Casalecchio Di Reno Bo
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08034 Barcelona
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07121 Palma
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5007 Bergen
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2520-614 Peniche
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Partners (1)
EC4R 2RU London
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