The European Digital Twin Ocean is an ambitious initiative designed to create a living, interactive digital replica of the ocean that will improve scientific understanding and support better environmental decision-making. Funded by the European Commission and supported by the Copernicus Marine Service and the European Marine Observation and Data Network (EMODnet), the project combines vast amounts of real-time and historical ocean data into a unified digital environment. By integrating information collected from satellites, ocean sensors, research vessels, computer models, and even smartphone applications, the platform will enable users to monitor current ocean conditions while exploring possible future scenarios. The system is expected to be fully operational by 2030.
The initiative is intended to make complex ocean knowledge accessible to scientists, policymakers, businesses, and the general public through advanced visualization tools and user-friendly interfaces. Rather than functioning solely as a database, the platform continuously assimilates new observations and combines them with sophisticated modelling techniques to generate forecasts and simulations. These capabilities will help users understand changing weather patterns, marine ecosystems, ocean chemistry, and human activities while supporting evidence-based planning for sustainable ocean management.
The foundation of the European Digital Twin Ocean is its digital infrastructure known as EDITO. Developed by Mercator Ocean International and the Flanders Marine Institute on behalf of the European Commission, EDITO integrates harmonized ocean observations, forecasts, and analytical products into a cloud-based environment. It also provides powerful computing resources and modelling tools that allow researchers, developers, and decision-makers to build applications, conduct simulations, and test management strategies. Through its online platform, users can already access data, develop customized scenarios, and evaluate the potential impacts of climate change and other environmental pressures on marine systems.
One of the most important capabilities of the platform is its ability to perform “what-if” scenario analysis before real-world decisions are implemented. These simulations enable policymakers and planners to compare different management options and estimate their likely outcomes. One existing application examines whether restoring seagrass meadows in the Wadden Sea can reduce coastal erosion and flooding by modelling interactions between vegetation, waves, currents, and seabed conditions. Users can compare coastlines with and without seagrass restoration to identify the most effective nature-based solutions for protecting vulnerable coastal communities.
Another application demonstrates how ocean modelling can support marine biodiversity conservation. Using drift simulations based on Copernicus Marine Service data, researchers can model sea turtle movements through ocean currents and evaluate how seasonal fishing restrictions in selected areas influence the risk of turtles being caught as bycatch. These predictive tools provide valuable information for fisheries managers seeking to balance commercial fishing activities with the protection of endangered marine species.
Beyond these examples, the European Digital Twin Ocean is expected to support a wide range of future applications, including evaluating marine protected areas, optimizing offshore wind farm locations, improving emergency responses to oil spills, strengthening coastal defence strategies against sea level rise, and projecting climate-driven changes in marine ecosystems. Artificial intelligence and machine learning will further enhance forecasting capabilities and simplify access to complex simulations through intuitive user interfaces. As development continues, the European Digital Twin Ocean is expected to become a comprehensive digital resource that supports sustainable ocean management, marine conservation, scientific research, and climate adaptation across Europe and beyond.
https://marine.copernicus.eu/news/understanding-our-ocean-iv-digital-twin-ocean