Marine Environment Reanalyses Evaluation Project 

MER-EP is an international initiative focused on evaluating marine environment reanalyses to maximise their potential for ocean and climate monitoring and prediction. The initiative develops and shares guidelines, methods, tools and best practices for using reanalysis data to monitor the state of the ocean and support applications such as AI forecasting models.

Ocean reanalyses are reconstructions of past ocean conditions created by combining ocean observations with numerical models through data assimilation techniques. These reanalyses can include information on ocean physics, waves, biogeochemistry and sea ice, providing a comprehensive picture of the changing ocean system.

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 European Digital Twin Ocean, to facilitate what-if scenarios and decision support, under a co-creation approach

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 the long-term adoption of sustainable solutions. 

SURIMI’s mission is to develop nine socio-ecological models for integration into the European Digital Twin Ocean. 

Forecasting and Observing the Open-to-Coastal Ocean for Copernicus Users

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. 

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

Coastal Climate Core Services 

CoCliCo is 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.

CoCliCo is the tool to plan and manage our response to sea-level rise. It is an interconnection of user engagement, information technologies for geospatial data management and lead science for risk adaptation.

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 onto the EDITO platform 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 advancing high-resolution decadal to multidecadal predictions of the marine environment to support climate resilience, ocean governance, and the blue economy.

By downscaling the latest global climate models and integrating them with regional ocean models from Copernicus Marine Service, SEACLIM provides detailed projections on ocean circulation, waves, sea ice, and marine biogeochemistry.

SEACLIM enables pre-operational decadal to multidecadal ocean predictions, developing new regional climate indicators to assess ocean health and coastal hazards. These insights will be integrated into the European Digital Twin Ocean, offering data-driven What-if Scenarios for policymakers, businesses, and coastal communities.

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

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. 

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 European Digital Twin Ocean applications and enabling risk-based assessments that guide sustainable management of the Black Sea.

Social-Ecological Ocean Management Applications using Digital Ocean Twins

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

SEADOTs further 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 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.