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Copernicus Marine Environment Monitoring Service (CMEMS) Evolution

The HORIZON-CL4-SPACE-2025-01-44 call focuses on the evolution of the Copernicus Marine Environment Monitoring Service (CMEMS) through innovative ocean data assimilation techniques. This call targets advancements in ocean data assimilation to enhance realistic ocean state representations, improve forecasts, and maintain leadership on the international stage. Key research areas include coupled data assimilation, multi-scale methods, AI techniques, new observation types, and improved software infrastructures. Projects should actively facilitate the transfer of research to operations, ensuring readiness for future deployment and open licensing for software. Gender dimension integration is addressed if relevant, and contributions to the GEO Blue Planet initiative are encouraged.

Opening: 03 Jun 2025
Deadline(s): 13 Nov 2025

Data provided by Sciencebusiness.net

This funding opportunity represents a pre-agreed draft that has not yet been officially approved by the European Commission. The final, approved version is expected to be published in the first quarter of 2025. This draft is provided for informational purposes and may be used to preliminarily form consortia and develop project ideas, but it is offered without any guarantees or warranties.

Expected Outcome

• Advance ocean data assimilation techniques to enhance realistic ocean state representation and improve ocean forecasts.
• Maximize the use of observations in reanalysis, analysis, and forecasting systems.
• Strengthen collaboration and data assimilation exchanges between operational centers and the scientific community.

Scope

• Coupled data assimilation between ocean components (e.g., ocean and biogeochemistry, ocean and waves, etc.).
• Development of multi-scale methods for high-resolution observations and large-scale constraints.
• Utilization of AI techniques for improved data assimilation (e.g., bias correction, ensemble generation).
• Exploration of new observation types and higher resolution data streams.
• Development of tools for systematic observation impact assessment.
• Creation of software infrastructures accommodating various assimilation methods.
• Establishment of validation and intercomparison protocols for improved assimilation methods.

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