What is a Digital Twin Ocean?

• March 16, 2026

Imagine being able to press “pause” on the ocean, zoom in on a specific position, run a simulation of what happens if pollution levels drop by 30%, and watch the ecosystem respond. Before committing a single euro or disturbing a single seabed. That is, in essence, what a Digital Twin Ocean makes possible.

The Basic Idea

A Digital Twin Ocean (DTO) is a virtual, data-driven replica of a real ocean environment. It mirrors the physical world in near-real time, drawing on streams of data from sensors, satellites, ships, and underwater instruments. Feed it enough information, and it can simulate how that environment behaves, evolves, and responds to change.

Engineers have used them for decades to model aircraft engines, power grids, and factories. The logic is simple: build a virtual version of something complex, test your ideas on the virtual version, and avoid costly mistakes in the real one. The ocean, arguably the most complex system on the planet, is now the subject of the same approach.

What makes a DTO different from a standard computer model is the live connection. Traditional ocean models run on historical data and fixed parameters. A digital twin is dynamic. It updates continuously as new data flows in, adjusts its simulations accordingly, and improves over time through machine learning. It is less a snapshot, more a living system.

What Powers a Digital Twin Ocean?

Three technologies make a Digital Twin Ocean work in practice.

The first is observation infrastructure. In-situ sensors on buoys, underwater vehicles, and fixed platforms collect data on temperature, salinity, currents, oxygen levels, and biodiversity in real time. Satellites monitor sea surface conditions from above. The Internet of Things (IoT) connects these instruments into a continuous data stream that feeds the twin.

The second is modelling. Advanced numerical models simulate ocean physics, from large-scale circulation patterns down to local hydrodynamics. These equation-based models have been refined over decades and form the scientific backbone of any credible digital twin.

The third is artificial intelligence. AI processes the enormous volumes of data that no human team could handle manually. It identifies patterns, fills gaps where sensors are sparse, and enables the twin to answer “what if” questions. What if sea temperature rises by 1.5°C? And if a new marine protected area is designated here? What happens if we reduce plastic input from this river by half? The DTO runs the scenario and shows you the projected outcome.

High-performance computing ties everything together, providing the processing muscle to run these simulations at speed and at scale.

The European Digital Twin Ocean

The European Commission formally announced the European Digital Twin Ocean (EU DTO) in February 2022, at the One Ocean Summit in Brest. It is a flagship initiative under the EU Mission to Restore Our Ocean and Waters by 2030 and is conceived as a public good. Not a commercial product, but shared infrastructure available to scientists, policymakers, businesses, and citizens alike.

The backbone of the EU DTO is EDITO, a platform built and operated by Mercator Ocean International and the Flanders Marine Institute, the organisations behind the Copernicus Marine Service and EMODnet respectively. EDITO consolidates decades of European ocean observation into a single, interoperable digital environment. A €14 million investment runs the current phase through 2028.

By 2024, the first pre-operational version of the EU DTO demonstrated real capabilities. Researchers were already using it to model Sargassum seaweed drift, simulate sea turtle movements, and track plastic pollution pathways. EU Commission President Ursula von der Leyen called it “an incredible tool” when its capabilities were showcased at the United Nations Ocean Conference in Nice in 2025.

The platform does not replace existing services like the Copernicus Marine Service or EMODnet. It builds on them. EDITO integrates their data and models into a unified environment and adds the AI tools and scenario-testing capabilities that turn raw data into actionable insight.

Where PHAROS Fits In

The PHAROS project, an EU Horizon Europe initiative led by the Canary Islands Ocean Platform (PLOCAN), is one of the projects actively building on the EU DTO infrastructure and contributing to it.

PHAROS is implementing what are known as local digital twins. These are high-resolution, site-specific representations of two demonstration locations, Gran Canaria in Spain and Iceland. Rather than modelling the entire Atlantic, a local twin focuses on a defined area with much greater detail. This is where the technology becomes genuinely useful for conservation practitioners on the ground.

PHAROS partner blueOasis is leading this work. Their approach integrates in-situ sensors, real-time IoT data streams, equation-based ocean models, and AI-driven surrogate models into a single platform called HiSea. Underwater acoustic hydrophones, cameras, and surface monitoring instruments feed live data into the system. The AI layer enables the twin to self-learn, refining its simulations as more data becomes available.

The practical application is direct. MPA managers and conservation teams at the PHAROS demo sites can use the local twin to monitor ecosystem restoration efforts, track biodiversity changes, and model the likely impact of different management decisions before implementing them. It turns adaptive management from a concept into a daily practice.

All data collected through the PHAROS DTO follows FAIR principles, meaning it is Findable, Accessible, Interoperable, and Reusable, and feeds back into the EU DTO via EDITO and EMODnet. PHAROS is not just a consumer of the EU DTO infrastructure. It is an active contributor to it.

Real Decisions, Not Just Research

One of the most important things to understand about digital twins is that they are not purely academic tools. They are decision-support systems.

The CMCC Foundation, another PHAROS partner, is integrating DTO tools into the Blueprint Platform, a governance and management platform for marine protected areas. This means that MPA managers across the Atlantic basin will be able to access dynamic, data-driven simulations directly in the platform they use to make management decisions. Ecological corridor planning, connectivity analysis, and adaptive responses to climate change will all be informed by live digital twin outputs.

For the fishing and aquaculture sectors, local twins can forecast water conditions, flag environmental stress events, and help operators time their activities to reduce impact. At the PHAROS Ireland demo site in Bantry Bay, where Integrated Multi-Trophic Aquaculture (IMTA) is being trialled alongside salmon farming, real-time ecosystem data is essential to understanding how species interact and respond. A local DTO makes that monitoring systematic rather than sporadic.

The EU DTO has already demonstrated its ability to improve ocean current prediction accuracy by more than 20% compared to older methods, using a fraction of the computing energy required by traditional supercomputers. That is not a marginal gain. It is the kind of improvement that changes what is possible in practice.

The Challenges Are Real

None of this is without difficulty.

Data coverage is uneven. The Atlantic and Arctic are vast, and sensors are expensive to deploy and maintain. Areas with poor coverage produce less reliable simulations. Bridging these gaps requires sustained investment in observation infrastructure and innovative approaches, including citizen science data collection and partnerships with the fishing industry.

User adoption is another challenge. A sophisticated platform is only useful if the people who need it can actually use it. Both EDITO and PHAROS have invested heavily in co-design, ensuring that researchers, MPA managers, and policymakers are involved in shaping the tools from the beginning rather than handed a finished product they do not fully understand or trust.

There is also a more fundamental point worth making. A digital twin can model the likely consequences of a decision. It cannot make the decision for you. Human judgment, political will, and community engagement remain essential. The technology provides better information. People still decide what to do with it.

A New Standard for Ocean Management

By 2030, EDITO aims to be a fully operational global benchmark for digital ocean solutions. The EU Mission to Restore Our Ocean and Waters explicitly identifies the DTO as core enabling infrastructure for achieving its targets. That includes protecting 30% of EU seas, restoring degraded ecosystems, and eliminating plastic pollution.

PHAROS, running through August 2029, is building the local twin capabilities and feeding the evidence base that will make the EU DTO genuinely useful at the scale where conservation decisions actually happen. The connection between continental-scale modelling and site-level action is not automatic. Projects like PHAROS are building that bridge in practice.

The ocean is too dynamic, too interconnected, and too consequential to manage on instinct and historical data alone. A Digital Twin Ocean does not simplify that complexity. It makes it legible, testable, and actionable. That is a meaningful shift.

FAQ: Digital Twin Ocean

What is a Digital Twin Ocean?

A Digital Twin Ocean is a virtual, real-time replica of an ocean environment. It combines satellite data, in-situ sensors, numerical models, and artificial intelligence to simulate how the ocean behaves and responds to change.

How is a Digital Twin Ocean different from a regular ocean model?

Traditional models run on historical, static data. A digital twin updates continuously with live data and uses AI to improve its simulations over time. It is dynamic, not fixed.

What is the EU Digital Twin Ocean?

The European Digital Twin Ocean (EU DTO) is a public digital infrastructure announced by the European Commission in 2022. It is built on the EDITO platform, operated by Mercator Ocean International, and is a flagship tool of the EU Mission to Restore Our Ocean and Waters by 2030.

Who uses Digital Twin Ocean technology?

Scientists, marine protected area managers, policymakers, aquaculture operators, and conservation practitioners. Anyone who needs real-time ocean data to make better decisions.

What is a local digital twin?

A local digital twin is a high-resolution version of a DTO focused on a specific site. PHAROS is building local twins for demo sites in Gran Canaria and Iceland to support MPA management and ecosystem monitoring at the ground level.

How does PHAROS use Digital Twin Ocean technology?

PHAROS integrates IoT sensors, AI models, and real-time data streams into local digital twins via the HiSea platform. This enables MPA managers to monitor restoration, test management decisions before implementing them, and feed data back into the wider EU DTO infrastructure.

Can a Digital Twin Ocean predict the future?

It can run scenario simulations, showing the likely outcomes of different decisions or environmental changes. It does not predict with certainty, but it significantly improves the quality of evidence available to decision-makers.

Is Digital Twin Ocean data publicly available?

Yes. EU DTO data follows FAIR principles, meaning it is Findable, Accessible, Interoperable, and Reusable. The goal is to make it a shared public good, not a proprietary tool.

Sources

1. https://www.edito.eu/about-edito/what-is-the-european-digital-twin-of-the-ocean/
2. https://www.mercator-ocean.eu/ocean-intelligence/the-digital-twin-of-the-ocean/the-european-digital-twin-of-the-ocean/
3. https://research-and-innovation.ec.europa.eu/funding/funding-opportunities/funding-programmes-and-open-calls/horizon-europe/eu-missions-horizon-europe/restore-our-ocean-and-waters/european-digital-twin-ocean-european-dto_en
4. https://blueoasis.pt/portfolio-item/pharos-lighthouse-for-the-atlantic-and-artic-basin
5. https://blue-cloud.org/european-digital-twin-ocean-eu-dto