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This course guides you step-by-step through the complete lifecycle of building a local and thematic Digital Twin of the Ocean.

You will learn how to:

• Acquire and integrate marine data from satellites, sensors, and citizen science
• Harmonise and structure data using semantic standards
• Build predictive and AI-supported ocean models
• Package workflows for reuse and federation
• Create interactive visualisations and immersive environments
• Deploy and integrate your twin with the European Digital Ocean ecosystem

Using Marine Protected Areas as a real-world case study, the course demonstrates how interoperable data streams, modelling tools, and decision-support systems can be combined into an operational Digital Twin.

Designed for scientists, practitioners, developers, policymakers, and innovators entering the DTO landscape, the course balances conceptual clarity with hands-on technical insight.

You will finish with a clear understanding of how modern Digital Twins of the Ocean are built — and how to design your own.


Course Structure: The Six-Module DTO Pipeline


Module 1 – Introduction to the Digital Twin Pipeline


  • What a Digital Twin of the Ocean is (and is not)

  • The four-step DTO architecture

  • Federation and interoperability principles

  • MPA use case introduction

  • Reuse of ILIAD pilot components

  • Foundations for scalable marine digital twins



Module 2 – Data Acquisition and Collection


  • Multi-source marine data integration

  • Satellite, in-situ, IoT, low-cost sensors

  • Citizen science as structured data input

  • AI-enabled imaging and biodiversity detection

  • Ocean Data Platform (ODP) usage

  • Data streaming and data space architectures



Module 3 – Data Preparation and Storage


  • Bronze → Silver → Gold (ARCO) data maturity

  • Data lakes and federated catalogues

  • STAC, Zarr, GeoParquet, NetCDF-CF

  • Ocean Information Model (OIM)

  • Semantic harmonisation and ontologies

  • OGC APIs for interoperable access

  • Real-time streaming and alert systems 



Module 4 – Modelling, Processing, and Analytics


  • Hybrid physical + AI models

  • Connectivity modelling (OpenDrift)

  • Species distribution models (SDMs)

  • Habitat suitability modelling

  • Application packaging (CWL)

  • OGC API Processes

  • Deployment on federated infrastructures (EDITO)



Module 5 – Visualisation, Decision Support & Societal Impact


  • 2D / 3D / 4D visualisation

  • GeoViz and immersive ocean environments

  • Virtual Twins for marine spatial planning

  • Policy-oriented dashboards

  • Scenario simulation for governance

  • Bridging science and decision-making




Module 6 – Portability and Interoperability with EDITO

  • Docker, Helm, Kubernetes deployment

  • Processes vs Services architecture

  • STAC harvesting and push/pull integration

  • OIM-based semantic transformation

  • Workflow-based data publication

  • Federation with EU Digital Twin of the Ocean




What Participants Gain


By completing the course, participants can:

  • Design a full DTO architecture

  • Integrate multi-source marine data

  • Apply semantic interoperability standards

  • Package and deploy modelling workflows

  • Create immersive visualisation environments

  • Ensure interoperability with European infrastructures

  • Build portable, federated digital twins aligned with DITTO and EU DTO



Contact Information


For further inquiries, please contact:

 

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Self enrolment (Student)
Self enrolment (Student)