EDITO ModelLab European Digital Twin Ocean 

The EDITO-Model Lab project expanded the numerical and simulation backbone of the European Digital Twin Ocean, delivering a comprehensive suite of modelling and simulation capabilities.  

EDITO-Model Lab developed the next generation of ocean models, combining artificial intelligence and high-performance computing, to be integrated into the EDITO public infrastructure, providing access to focus applications and simulations of different what-if scenarios. 

Marine Environment Reanalyses Evaluation Project 

MER-EP is a project endorsed by the UN Ocean Decade.The primary objective of MER-EP is to improve our knowledge of the ocean by understanding and ultimately improving the reliability and usability of global and regional ocean reanalyses – reconstructed past ocean states by combining ocean numerical models and observations through data assimilation techniques-  including physics, waves, biogeochemistry, and sea ice, based on representative and high-priority use cases identified after extensive discussions with scientific and private ocean reanalyses users. 

Social-Ecological Analysis and Models for Digital Twin Ocean

SEADITO focuses on developing analytical methods and tools for the European Digital Twin Ocean . It integrates social-ecological models to establish a comprehensive decision support platform.  

SEADITO is working to integrate interoperable, spatially explicit socio-ecological models into the EDITO Platform. It advances ecosystem-based management through FAIR data-driven decision-support tools and case studies in the Baltic Sea, North Sea, Mediterranean, and a Pan-European context. Its innovative platform includes visual demonstrators and a powerful Scenario Toolkit (WIST), enabling effective multi-actor processes. 

Integration of innovative and reliable socio-ecological models and user-driven solutions into the Digital Twin Ocean, to facilitate what-if scenarios and decision support, under a co-creation approach

SURIMI’s mission is to build partnerships with stakeholders from industry, science, policy, and society to develop nine socio-ecological models for integration into the European Digital Twin Ocean. 

SURIMI focuses on socio-ecological modeling to assess fisheries management impacts and provide user-friendly, scenario-based exploration of sustainable marine solutions. Its modular toolbox incorporates systems such as Ecopath with Ecosim, POSEIDON, and advanced AI-powered interfaces. Developed in close collaboration with stakeholders, SURIMI’s solutions ensure that real-world needs are addressed, promoting transparency, trust, and long-term adoption. 

Coastal Climate Core Services 

FOCCUS is enhancing coastal monitoring and forecasting through the integration of high resolution observations, coastal models, and forecasting systems spanning the land coast ocean interface. 

FOCCUS is onboarding coastal data products, models and applications to EDITO to strengthen the coastal dimension of the European Digital Twin Ocean and the Copernicus Marine Service.

Coastal Climate Core Services 

CoCliCo is delivering an open source web platform informing users on present-day and future coastal risks with the goal of improving decision-making on coastal risk management and adaptation, by establishing an integrated core service dedicated to coastal adaptation to sea-level rise.

Arctic Cross-Copernicus forecast products for sea Ice and iceBERGs 

ACCIBERG is developing a new iceberg forecasting service and improving the quality of Arctic sea ice forecasts across Copernicus Marine and Climate Change services to enhance safety for maritime users navigating Arctic waters. 

OpenBerg is a software tool developed by the ACCIBERG project and onboarded on EDITO to simulate the drift and fate of icebergs in the Arctic. Using data from Copernicus Marine Service, including ocean currents, waves, and wind conditions, OpenBerg can forecast individual iceberg trajectories and generate risk maps identifying areas where icebergs may be encountered. The service is being scaled up to automatically simulate the trajectories of thousands of icebergs detected through satellite observations, supporting improved iceberg forecasting and maritime safety in collaboration with the European Ice Services.

Dimensional data-driven reconstruction of the Mediterranean ecosystem for the study of biophysical interactions and their impact assessment

The objective of the 4DMED-SEA project is to develop a data-driven, 4D reconstruction of the Mediterranean Sea physical and biogeochemical state, exploit this information to further improve our understanding of the complex interactions between physical and biological processes at a broad range of temporal and spatial scales and explore options to transfer that knowledge into new solutions for society regarding the monitoring, restoration and preservation of the Mediterranean Sea Health.

European SEAs CLIMate Impact predictions through regional models

SEACLIM is a four-year European project advancing high-resolution decadal to multidecadal predictions of the marine environment to support climate resilience, ocean governance, and the blue economy.

Advancing Black Sea Research and Innovation to Co-Develop Blue Growth within Resilient Ecosystems

The Horizon 2020-funded BRIDGE-BS aims to advance the Black Sea’s marine research and innovation to co-develop Blue Economy pathways under multi stressors for the sustainable utilization of the ecosystem services. The 4.5-year project started in 2021 and was completed in November 2025.

BRIDGE-BS is designed to define a safe operating space for the Black Sea Blue Economy, ensuring that ecosystem boundaries are known and respected. To achieve this, the project has developed, for the first time in the region, an ensemble modeling framework that provides critical insights into the resilience of the Black Sea which has never been analyzed before. These models, supported by new ecosystem and socio-economic data, deliver results on ecosystem
state under different climate and human-driven pressures. The outputs feed into AI emulators, cumulative effect assessment tools, and “what-if” scenarios, while also supporting the development of
multi-stressor, multi-service Decision Support Tools and adaptive management strategies at both basinwide and Pilot scales. Living Labs across different regions provide additional stakeholder-driven input, reinforcing the co-design of Digital Twin Ocean applications and enabling risk-based assessments that guide sustainable management of the Black Sea.

Black Sea DTO will be maintained by DEKOSIM (The Center for Marine Ecosystems and Climate Research) infrastructure hosted by Middle East Technical University beyond BRIDGE-BS.

Social-Ecological Ocean Management Applications using Digital Ocean Twins

SEADOTs empowers sustainable ocean management by integrating social-ecological data with Digital Ocean Twins. This EU-funded initiative is aimed at transforming ocean management by merging cutting-edge ocean data with socio-ecological and socio-economic models. 

SEADOTs strengthens the European Digital Twin Ocean by developing next-generation socio-ecological models for inclusive, informed, and adaptive marine governance. Focusing on demonstration sites in the Norwegian North Sea, Southern North Sea, and the Baltic Sea, SEADOTs works hand-in-hand with policymakers, marine managers, and local stakeholders. Its interactive platform enables scenario-based policy exploration, supported by learning materials that foster digital ocean literacy. 

Integration of biodiversity monitoring data into the Digital Twin Ocean

DTO-BioFlow unlocks currently inaccessible marine biodiversity data and integrates it into the European Digital Twin Ocean, transforming fragmented data into accessible knowledge to support marine research and monitoring.

DTO-BioFlow brings marine biodiversity data into action within the European Digital Twin of the Ocean. Through eight policy-relevant demonstrator use cases, the project integrates harmonised biomonitoring data with AI, models, analytical tools, and high-performance computing to address key marine ecosystem and policy challenges aligned with EU biodiversity objectives. By strengthening the operational biodiversity component of EDITO, DTO-BioFlow supports evidence-based decision-making for sustainable ocean management.